152 results on '"Weisnagel SJ"'
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2. Antiinflammatory Therapy with Canakinumab for Atherosclerotic Disease
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Ridker PM, Everett BM, Thuren T, MacFadyen JG, Chang WH, Ballantyne C, Fonseca F, Nicolau J, Koenig W, Anker SD, Kastelein JJP, Cornel JH, Pais P, Pella D, Genest J, Cifkova R, Lorenzatti A, Forster T, Kobalava Z, Vida-Simiti L, Flather M, Shimokawa H, Ogawa H, Dellborg M, Rossi PRF, Troquay RPT, Libby P, Glynn RJ, Novo S, Krum H, Varigos J, Siostrzonek P, Sinnaeve P, Gotcheva N, Yong H, Urina-Triana M, Milicic D, Vettus R, Manolis AJ, Wyss F, Sigurdsson A, Fucili A, Veze I, Petrauskiene B, Salvador L, Klemsdal TO, Medina F, Budaj A, Otasevic P, Lainscak M, Seung KB, Commerford P, Donath M, Hwang JJ, Kultursay H, Bilazarian S, East C, Forgosh L, Harris B, Ligueros M, Bohula E, Charmarthi B, Cheng S, Chou S, Danik J, McMahon G, Maron B, Ning M, Olenchock B, Pande R, Perlstein T, Pradhan A, Rost N, Singhal A, Taqueti V, Wei N, Burris H, Cioffi A, Dalseg AM, Ghosh N, Gralow J, Mayer T, Rugo H, Fowler V, Limaye AP, Cosgrove S, Levine D, Lopes R, Scott J, Hilkert R, Tamesby G, Mickel C, Manning B, Woelcke J, Tan M, Manfreda S, Ponce T, Kam J, Saini R, Banker K, Salko T, Nandy P, Tawfik R, O’Neil G, Manne S, Jirvankar P, Lal S, Nema D, Jose J, Collins R, Bailey K, Blumenthal R, Colhoun H, Gersh B, Abreu M, Actis MV, Aiub J, Aiub F, Albisu J, Alvarisqueta A, Avalos V, Barreto M, Berli MA, Blumberg C, Bocanera M, Botta C, Bowen L, Budassi N, Buhlman S, Westberg JC, Carabajal T, Caruso G, Casala J, Cendali G, Coloma G, Berra FC, Cuneo C, Degennaro N, Dellasa M, Diaz M, Dos Santos P, Espinosa V, Facello A, Facello M, Farias E, Fernandez AA, Ferrari V, Pacora FF, Flores GS, Franco M, Gabito A, Viola HG, Garcia F, Garcia Duran R, Garcia Pinna J, Glenny J, Godoy Sanchez M, Grosse A, Guzman P, Hasbani E, Hominal M, Ibañez J, Jure H, Jure D, Vico ML, Liniado G, Luciardi H, Luquez H, Maehara G, Maffei L, Majul C, Mallagray M, Marinaro S, Martinez J, Massaccesi R, De Los Milagros Had M, Azize GM, Montana O, Montenegro E, Morell Y, Muntaner J, Navarrete S, Olmedo M, Paganini M, 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Winkelmann B, Winkler J, Wistuba T, Woehrle J, Wohnlich T, Wolf S, Woyczak D, Wrage P, Zirlik A, Anadiotis A, Chachalis G, Dermitzakis A, Kafarakis P, Kaldara E, Kolokathis F, Kostakou P, Lekakis J, Manolis A, Mantas I, Megalou A, Milkas A, Nanas J, Olympios CD, Patsilinakos S, Perperis A, Poulimenos L, Saloustros I, Tsioufis K, Tsorbatzoglou K, Vardas P, Zarifis I, Aguilar M, Arango JL, Borrayo NA, Corona V, Guerrero A, Guzman I, Haase F, De Krumbach L, Montenegro P, Munoz R, Munoz N, Paniagua A, Solares A, Vogel M, Anita S, Blazsek Z, Decsi K, Fulop T, Hangyal T, Hegedus V, Kalina A, Karakai H, Katona A, Kiss RG, Kovacs A, Laszlo Z, Lupkovics G, Medvegy M, Merkely B, Mihaly N, Nagy AC, Dékány JN, Nikoletta P, Noori E, Penzes J, Poor F, Sarszegi Z, Simay A, Simon J, Szakal I, Szatmarine V, Szocs A, Zilahi Z, Karsai XZ, Andersen K, Sigurdadottir E, Skuladottir F, Abdullakutty J, Abhaichand R, Abhyankar A, Agarwal DK, Aggarwal RK, Ahire N, Awasthi AK, Babu R, Bai A, Bali HK, Banker D, 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A, Parmon E, Petelina T, Repin A, Reznik I, Sazonova E, Sergienko T, Shaposhnik I, Shapovalova Y, Shustov S, Shvarts Y, Skopets I, Skuratova M, Smolenskaya O, Solovev O, Trofimov V, Vasiliev M, Vezikova N, Vozzhaev A, Yakushin S, Zadionchenko V, Apostolovic S, Adjic NC, Ilic I, Ilic S, Nikolic L, Pupic L, Stokuca-Korac N, Antalik L, Bugan V, Csala L, Dokupilova A, Dzupina A, Forgon T, Fulop P, Gonsorcik J, Gyorgyova E, Holoubek D, Horvat P, Kamensky G, Kolikova V, Krupciakova B, Lenner E, Lennerova J, Lukac J, Majercak I, Mancikova I, Micko K, Nociar J, Pales J, Palka J Jr, Poliacik P, Ruffini L, Sabo L, Skubova K, Slanina M, Smik R, Srdos V, Stitova M, Stofkova D, Strbova J, Such S, Toth P, Urgeova L, Vinanska D, Zareczky P, Flezar M, Kovacic D, Marcun R, Zagozen P, Bolsmann C, Conradie C, Dawood SY, Decsi KL, Ebrahim I, Henley L, Horak A, Kapp I, Komati S, Lock E, Maboyi S, Makotoko E, Manga P, Page A, Ramdas S, Ranjith N, Roos J, Talliard C, Ajax K, Al-Khalili F, Assarsson E, Bergholtz T, Blom KB, Boman K, Boström PÅ, Curiac D, Jensen ED, Dahlen G, Davidsson K, Duckert A, Hansson A, Härstedt N, Henriksson A, Olsson GH, Johansson K, Jonsson JE, Knutsson A, Lindholm CJ, Lönnberg I, Lundqvist M, Mellberg L, Moodh J, Mooe T, Olofsson M, Risenfors M, Rönndahl M, Sundelin R, Suorra I, Torgersruud M, Torstensson I, Chang KC, Chen CP, Chen ZC, Chen MH, Cheng SM, Cheng JJ, Fang CY, Ho CJ, Hsieh IC, Huang PH, Huang A, Kuo JY, Lai WT, Lee SC, Li YH, Lin T, Liu HM, Tsai MC, Tsao HM, Tzong L, Ueng KC, Wang YL, Wang HC, Wang CP, Yang CC, Abaci F, Birdane A, Yilmaz MB, Asim Oktay AO, Kan G, Koldas N, Ozcan IT, Sahin M, Sahin T, Saka B, Tekten T, Ucar N, Uresin S, Yigit Z, Arif I, Bakhai A, Baksi A, Blagdon M, Brickman T, Brown N, Burton M, Burton J, Chaggar S, Chung A, Collier D, Covell W, Crawford G, Davies N, Davies M, Dayer M, Doughty A, Duff J, Dwenger E, Fisher J, Fitzpatrick L, Garner K, Glover J, Haughton G, Ilsley M, Ivan P, Voyzey EJ, Keenan S, Kelt T, Knight J, Kondagunta V, Lang C, Lee K, Lim L, Macdonald J, Mathew A, Mckenzie A, Mckibbin A, Michalska A, Pagett K, Pogson A, Price R, Price D, Procter K, Pye M, Redfearn H, Rewbury J, Ryding A, Sattar N, Sharp A, Shaw P, Simpson H, Smith W, Squire I, Storey R, Teenan M, Thomas H, Townend J, Trevelyan J, Wakeling J, Walukiewicz P, Wilkinson S, Zaman A, Acevedo L, Benton J, Abbate A, Aboufakher R, Acampora M, Acampora D, Aceto L, Acevedo B, Acheatel R, Adams M, Adams A, Ahmad I, Ahmed SH, Aish B, Akyea-Djamson A, Al Joundi T, Alcide P, Alfieri A, Alfonso T, Alfrey A, Allen J, Alllison DC, Almaliky T, Amos A, Angiolillo D, Antolick A, Ara M, Aragorn L, Arevalo S, Armas E, Arthur A, Asafu-Adjaye N, Ashcom T, Ashford M, Aslam A, Ather N, Atieh M, Aull L, Ayala M, Azizad M, Backer T, Baehl S, Bailey S, Bair S, Baker C, Ballmajo M, Pieretti HB, Baquero A, Barnett S, Baron S, Bartkowiak A, Bashir K, Beall K, Beauregard LA, Sarah S, Beckett L, Belejchak P, Bendelow T, Bender D, Benjamin S, Berdoff R, 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0301 basic medicine ,030204 cardiovascular system & hematology ,law.invention ,0302 clinical medicine ,c-reactive protein ,Randomized controlled trial ,law ,Cardiovascular Disease ,middle aged ,double-blind method ,antibodies ,Myocardial infarction ,humans ,Stroke ,interleukin-1beta ,biology ,Antibodies, Monoclonal ,drug ,General Medicine ,Lipid ,Aged ,anti-inflammatory agents ,monoclonal ,humanized ,atherosclerosis ,cardiovascular diseases ,dose-response relationship ,female ,incidence ,infections ,lipids ,male ,myocardial infarction ,neutropenia ,secondary prevention ,stroke ,Anti-Inflammatory Agent ,aged ,Editorial ,Atherosclerosi ,Monoclonal ,Human ,medicine.drug ,medicine.medical_specialty ,Neutropenia ,Antibodies, Monoclonal, Humanized ,Infections ,Placebo ,antibodies, monoclonal ,dose-response relationship, drug ,infection ,medicine (all) ,03 medical and health sciences ,Internal medicine ,medicine ,Dose-Response Relationship, Drug ,business.industry ,Antiinflammatory Therapy, Canakinumab, for Atherosclerotic Disease ,C-reactive protein ,medicine.disease ,Surgery ,Canakinumab ,030104 developmental biology ,biology.protein ,business - Abstract
Background: Experimental and clinical data suggest that reducing inflammation without affecting lipid levels may reduce the risk of cardiovascular disease. Yet, the inflammatory hypothesis of atherothrombosis has remained unproved. Methods: We conducted a randomized, double-blind trial of canakinumab, a therapeutic monoclonal antibody targeting interleukin-1β, involving 10,061 patients with previous myocardial infarction and a high-sensitivity C-reactive protein level of 2 mg or more per liter. The trial compared three doses of canakinumab (50 mg, 150 mg, and 300 mg, administered subcutaneously every 3 months) with placebo. The primary efficacy end point was nonfatal myocardial infarction, nonfatal stroke, or cardiovascular death. RESULTS: At 48 months, the median reduction from baseline in the high-sensitivity C-reactive protein level was 26 percentage points greater in the group that received the 50-mg dose of canakinumab, 37 percentage points greater in the 150-mg group, and 41 percentage points greater in the 300-mg group than in the placebo group. Canakinumab did not reduce lipid levels from baseline. At a median follow-up of 3.7 years, the incidence rate for the primary end point was 4.50 events per 100 person-years in the placebo group, 4.11 events per 100 person-years in the 50-mg group, 3.86 events per 100 person-years in the 150-mg group, and 3.90 events per 100 person-years in the 300-mg group. The hazard ratios as compared with placebo were as follows: in the 50-mg group, 0.93 (95% confidence interval [CI], 0.80 to 1.07; P = 0.30); in the 150-mg group, 0.85 (95% CI, 0.74 to 0.98; P = 0.021); and in the 300-mg group, 0.86 (95% CI, 0.75 to 0.99; P = 0.031). The 150-mg dose, but not the other doses, met the prespecified multiplicity-adjusted threshold for statistical significance for the primary end point and the secondary end point that additionally included hospitalization for unstable angina that led to urgent revascularization (hazard ratio vs. placebo, 0.83; 95% CI, 0.73 to 0.95; P = 0.005). Canakinumab was associated with a higher incidence of fatal infection than was placebo. There was no significant difference in all-cause mortality (hazard ratio for all canakinumab doses vs. placebo, 0.94; 95% CI, 0.83 to 1.06; P = 0.31). Conclusions: Antiinflammatory therapy targeting the interleukin-1β innate immunity pathway with canakinumab at a dose of 150 mg every 3 months led to a significantly lower rate of recurrent cardiovascular events than placebo, independent of lipid-level lowering. (Funded by Novartis; CANTOS ClinicalTrials.gov number, NCT01327846.)
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- 2017
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3. Obesity and Sex Hormone-Binding Globulin (SHBG) Levels in Gestational Diabetes.
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Morisset, AS, primary, Dube, MC, additional, Drolet, R, additional, Nadeau, M, additional, Robitaille, J, additional, Weisnagel, SJ, additional, and Tchernof, A, additional
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- 2010
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4. Relationship between Maternal Obesity and Birth Weight in Pregnancies Complicated by Gestational Diabetes.
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St-Yves, A, primary, Morisset, AS, additional, Dube, MC, additional, Tchernof, A, additional, Weisnagel, SJ, additional, and Robitaille, J, additional
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- 2010
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5. Liraglutide and Renal Outcomes in Type 2 Diabetes
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Mann JFE, Ørsted DD, Brown-Frandsen K, Marso SP, Poulter NR, Rasmussen S, Tornøe K, Zinman B, Buse JB, LEADER Steering Committee and Investigators. 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E, Martinez G, Martinez-Miss S, Marx P, Massara L, Mastoor M, Matfin G, Maturu A, Maurides P, May M, Mayfield R, Maynard B, Mazza A, McCann K, McCoy J, McCoy T, McCullen MK, McDaniel C, McDaniel AM, McDermott M, McDonald A, McMasters B, McMurray C, Medlin T, Meinel M, Mendez I, Menefee J, Meredith M, Merriweather M, Mersey J, Messino C, Meyer S, Meyers L, Michael D, Midyett C, Miklius A, Milford E, Miller B, Miller H, Milligan M, Minor A, Miranda-Palma B, Mirarchi N, Mittadodla S, Mittle J, Moffat A, Mohaupt S, Mohiuddin K, Mokshagundam S, Monaco S, Monsaert R, Montano-Pereira C, Montgomery A, Moody K, Moon M, Moore D, Moore L, Morawski E, Moreau C, Morin D, Moscoa C, Motzkin C, Mueller R, Munoz C, Munoz M, Myneni A, Naderi B, Nagireddy P, Naidu J, Naidu R, Naik S, Naimark R, Nardicchi M, Ndukwu I, Neller C, Netten-Foster L, Neumiller J, New T, Newman S, Newton T, Nguyen B, Nicol B, Nicol P, Ninivaggi L, Niswender K, Norman L, Noworatzky G, Nyenwe E, O'Brien H, O'Connell T, Oden W, Odugbesan A, Oliver M, Oliver T, Olmeda C, O'Neil C, Oremus R, Ortega T, Ortiz-Santos S, Osborn T, Padmanabhan S, Papacostea O, Park I, Parker A, Parker K, Parker R, Patel C, Patel M, Patel R, Patino M, Patterson S, Paulson K, Paz A, Pemba R, Pepe C, Perez J, Perez T, Perry D, Phillips B, Phillips J, Pickett A, Pinson M, Pitzer R, Poduri M, Poehls J, Poteat T, Powell L, Prasad S, Prevost J, Price E, Priest D, Prieto L, Purewal T, Purighalla R, Purighalla U, Quadrel M, Qureshi A, Radhamma R, Rafla E, Rajab H, Ramalingam R, Ramirez A, Ramirez J, Ramirez K, Ramirez M, Randall M, Rangaraj U, Rao V, Rasmussen P, Rasouli N, Ray A, Reed J, Rems L, Renaud K, Reno M, Resnick M, Reusch J, Reynolds L, Rhoton K, Rhudy J, Ricci C, Rice L, Richardson A, Richardson L, Rickard H, Rickels M, Riff D, Rightenour N, Risser J, Rizvi A, Robertson J, Robinson A, Robinson R, Rockwell M, Rodriguez JP, Rodriguez M, Rojas M, Rojas W, Rooker-Morris L, Root C, Rose M, Rosenberg R, Rosenstock J, Roth M, Ruby R, 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Sutton T, Tabbah I, Talsania M, Tang R, Tapia J, Taylor K, Taylor-Hancher R, Teator R, Tekateka M, Temple B, Temple K, Teodori M, Tharp P, Thethi T, Theuma P, Thomas S, Thottan A, Thrasher J, Thrasher L, Tiemeyer M, Tinney I, Tobin T, Toma S, Tovar M, Townsend J, Trantow C, Traylor H, Trevino M, Troy M, Trumper D, Tryggestad J, Tucker C, Turner J, Turney R, Tuten C, Tyzack J, Ullo L, Underkofler C, Unger J, Urdanetta R, Valdivia V, Valenti S, Vanderheiden A, Vanderlinde-Wood M, Varma C, Vasquez E, Vazquez M, Vickery D, Villafuerte B, Villegas C, Vivar J, Vivekananthan K, Vo G, Vukojicic K, Wachter A, Wahl D, Waitmann J, Walker D, Walsh J, Walsh K, Walton A, Wang A, Wardell K, Watkins S, Watkinson J, Watts M, Watwe V, Weaver N, Weber R, Wedick C, Weeks D, Weeks L, Weindorff K, Weinstein R, Weiss S, Wenger K, Wentworth M, Werner A, West M, Whelan S, White B, White J, Whitmire M, Whittington R, Wical J, Wigley C, Wilkins F, Will K, Williams A, Wilson LE, Wince M, Wine S, Winkle P, Winner C, Wise J, Witte M, Wittenmyer J, Wood C, Wood R, Woodruff C, Worthington B, Wynn D, Wysham C, Xavier P, Yela S, Yenoby L, Young L, Younus N, Yourell V, Zaid M, Zubair I., Mann, Jfe, Ørsted, Dd, Brown-Frandsen, K, Marso, Sp, Poulter, Nr, Rasmussen, S, Tornøe, K, Zinman, B, Buse, Jb, Bergenstal R, LEADER Steering Committee and Investigators., Daniels, G, Moses, Ac, Nauck, M, Nissen, S, Pocock, S, Steinberg, W, Stockner, M, Kristensen, P, Ravn, L, Zychma, M, Flyvbjerg, A, Ford, I, Kloos, Rt, Schactman, Mj, Sleight, P, Swedberg, K, Tenner, Sm, Akalın, S, Arechavaleta, R, Bain, S, Babkowski, Mc, Benroubi, M, Berard, L, Comlekci, A, Czupryniak, L, Eliasson, B, Eriksson, M, Fonseca, V, Franek, E, Gross, J, Hafidh, K, Haluzik, M, Hayes, F, Huang, Yy, Jacob, S, Kaddaha, G, Khalil, A, Kilhovd, B, Laakso, M, Leiter, L, Lalic, N, Ji, L, Luedemann, J, Mannucci, E, Marre, M, Masmiquel, L, Mota, M, Omar, M, O’Shea, D, Pan, C, Petrie, J, Pieber, T, Pratley, R, Raz, I, Rea, R, Rutten, G, Satman, I, 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Resnick, M, Reusch, J, Reynolds, L, Rhoton, K, Rhudy, J, Ricci, C, Rice, L, Richardson, A, Richardson, L, Rickard, H, Rickels, M, Riff, D, Rightenour, N, Risser, J, Rizvi, A, Robertson, J, Robinson, A, Robinson, R, Rockwell, M, Rodriguez, Jp, Rodriguez, M, Rojas, M, Rojas, W, Rooker-Morris, L, Root, C, Rose, M, Rosenberg, R, Rosenstock, J, Roth, M, Ruby, R, Sachson, R, Sack, P, Sadler, Rk, Sahai, S, J, Salazar, Salgam, M, Samal, A, Samson, A, Sanagorski, R, Sanchez, A, Sandberg, J, Sanderson, M, Sandoval, J, Santiago, E, Sapp, T, Saunders, J, Schill, J, Schott, C, Schreiman, R, Schu, D, Schuh, K, Schutta, M, Schwartz, J, Schweppe, L, Scofield, H, Scribner, A, Seal, J, Sealock, J, Seaton, B, Sedlak-Hanslik, T, Seekins, K, Segal, M, Seggelke, S, Semenza, S, Sentman, P, Serra, M, Seshadri, P, Sevilla, E, Shah, S, Shaheen, K, Shanik, M, Shaw, J, Sheets, M, Shellabarger, C, Sher, J, Shippey, J, Shivaswamy, V, Shomali, M, Shore, D, Shroff, P, Siddiqui, T, Siegwald, A, Silver, R, Simmons, D, Simons, R, Sinan, A, Singh, M, Sirinvaravong, S, Skero, J, Slover-Zipf, J, Small, S, Smith, B, Smith, K, Smith, M, Sohl, J, Solarz, Sh, Soler, D, Sood, A, Sora, N, Souchet, A, Soule, J, Sparks, J, Spector, L, Speicher, R, Spillers, L, Spivey, T, Springer, N, Sprouse, H, St John, J, Stacey, A, Stacey, H, Stafford, M, Stagner, E, Staples, K, Steadman, E, Steed, R, Steeves, G, Steinberg, H, Stell, C, Stirman, E, Straub, K, Strock, E, Sue, M, Suris, O, Sutton, T, Tabbah, I, Talsania, M, Tang, R, Tapia, J, Taylor, K, Taylor-Hancher, R, Teator, R, Tekateka, M, Temple, B, Temple, K, Teodori, M, Tharp, P, Thethi, T, Theuma, P, Thomas, S, Thottan, A, Thrasher, J, Thrasher, L, Tiemeyer, M, Tinney, I, Tobin, T, Toma, S, Tovar, M, Townsend, J, Trantow, C, Traylor, H, Trevino, M, Troy, M, Trumper, D, Tryggestad, J, Tucker, C, Turner, J, Turney, R, Tuten, C, Tyzack, J, Ullo, L, Underkofler, C, Unger, J, Urdanetta, R, Valdivia, V, Valenti, S, Vanderheiden, A, Vanderlinde-Wood, M, Varma, C, Vasquez, E, Vazquez, M, Vickery, D, Villafuerte, B, Villegas, C, Vivar, J, Vivekananthan, K, Vo, G, Vukojicic, K, Wachter, A, Wahl, D, Waitmann, J, Walker, D, Walsh, J, Walsh, K, Walton, A, Wang, A, Wardell, K, Watkins, S, Watkinson, J, Watts, M, Watwe, V, Weaver, N, Weber, R, Wedick, C, Weeks, D, Weeks, L, Weindorff, K, Weinstein, R, Weiss, S, Wenger, K, Wentworth, M, Werner, A, West, M, Whelan, S, White, B, White, J, Whitmire, M, Whittington, R, Wical, J, Wigley, C, Wilkins, F, Will, K, Williams, A, Wilson, Le, Wince, M, Wine, S, Winkle, P, Winner, C, Wise, J, Witte, M, Wittenmyer, J, Wood, C, Wood, R, Woodruff, C, Worthington, B, Wynn, D, Wysham, C, Xavier, P, Yela, S, Yenoby, L, Young, L, Younus, N, Yourell, V, Zaid, M, Zubair, I., Mann J.F.E., Orsted D.D., Brown-Frandsen K., Marso S.P., Poulter N.R., Rasmussen S., Tornoe K., Zinman B., Buse J.B., and Buscemi S.
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Male ,Settore MED/09 - Medicina Interna ,Acute Kidney Injury ,Aged ,Albuminuria ,Creatinine ,Diabetes Mellitus, Type 2 ,Diabetic Nephropathies ,Double-Blind Method ,Female ,Follow-Up Studies ,Glomerular Filtration Rate ,Glucagon-Like Peptide 1 ,Humans ,Hypoglycemic Agents ,Intention to Treat Analysis ,Kidney Failure, Chronic ,Liraglutide ,Middle Aged ,Type 2 diabetes ,030204 cardiovascular system & hematology ,urologic and male genital diseases ,GLOMERULAR-FILTRATION-RATE ,KIDNEY-FUNCTION ,DISEASE ,law.invention ,Kidney Failure ,chemistry.chemical_compound ,0302 clinical medicine ,Randomized controlled trial ,law ,Medicine ,Settore MED/49 - Scienze Tecniche Dietetiche Applicate ,Chronic ,RISK ,Kidney ,Acute kidney injury ,11 Medical And Health Sciences ,General Medicine ,medicine.anatomical_structure ,TRIAL ,liraglutide, randomized controlled trial, type 2 diabetes, renal outcomes ,Life Sciences & Biomedicine ,Type 2 ,medicine.drug ,medicine.medical_specialty ,Renal function ,030209 endocrinology & metabolism ,CARDIOVASCULAR OUTCOMES ,Follow-Up Studie ,03 medical and health sciences ,Medicine, General & Internal ,General & Internal Medicine ,Diabetes mellitus ,Internal medicine ,Diabetes Mellitus ,Intensive care medicine ,Science & Technology ,business.industry ,MORTALITY ,medicine.disease ,INTENSIVE GLUCOSE CONTROL ,INDIVIDUALS ,chemistry ,Diabetic Nephropathie ,LEADER Steering Committee and Investigators ,business - Abstract
BACKGROUND: In a randomized, controlled trial that compared liraglutide, a glucagon-like peptide 1 analogue, with placebo in patients with type 2 diabetes and high cardiovascular risk who were receiving usual care, we found that liraglutide resulted in lower risks of the primary end point (nonfatal myocardial infarction, nonfatal stroke, or death from cardiovascular causes) and death. However, the long-term effects of liraglutide on renal outcomes in patients with type 2 diabetes are unknown. METHODS: We report the prespecified secondary renal outcomes of that randomized, controlled trial in which patients were assigned to receive liraglutide or placebo. The secondary renal outcome was a composite of new-onset persistent macroalbuminuria, persistent doubling of the serum creatinine level, end-stage renal disease, or death due to renal disease. The risk of renal outcomes was determined with the use of time-to-event analyses with an intention-to-treat approach. Changes in the estimated glomerular filtration rate and albuminuria were also analyzed. RESULTS: A total of 9340 patients underwent randomization, and the median follow-up of the patients was 3.84 years. The renal outcome occurred in fewer participants in the liraglutide group than in the placebo group (268 of 4668 patients vs. 337 of 4672; hazard ratio, 0.78; 95% confidence interval [CI], 0.67 to 0.92; P=0.003). This result was driven primarily by the new onset of persistent macroalbuminuria, which occurred in fewer participants in the liraglutide group than in the placebo group (161 vs. 215 patients; hazard ratio, 0.74; 95% CI, 0.60 to 0.91; P=0.004). The rates of renal adverse events were similar in the liraglutide group and the placebo group (15.1 events and 16.5 events per 1000 patient-years), including the rate of acute kidney injury (7.1 and 6.2 events per 1000 patient-years, respectively). CONCLUSIONS: This prespecified secondary analysis shows that, when added to usual care, liraglutide resulted in lower rates of the development and progression of diabetic kidney disease than placebo. (Funded by Novo Nordisk and the National Institutes of Health; LEADER ClinicalTrials.gov number, NCT01179048 .).
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- 2017
6. A Randomized, Controlled Trial of 3.0 mg of Liraglutide in Weight Management
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Pi-Sunyer, Xavier, Astrup, Arne, Fujioka, Ken, Greenway, Frank, Halpern, Alfredo, Krempf, Michel, Lau, David C. W., le Roux, Carel W., Ortiz, Violante, Jensen, Christine Bjorn, Wilding, John P. H., Hamann, A, Barakat, A, Blüher, M, Linn, T, DALLE MOLLE, Alberto, Segner, A, Stübler, P, Tosch-Sisting, R, Pacini, F, Santini, F, Marchesini, G, Rotella, Cm, Invitti, C, Vettor, R, Buscemi, S, Raya, Pm, Freijoo, Fc, de Barbará RG, Carraro, R, Bobillo, Er, de la Cuesta, C, Farsang, C, Csaszar, A, Zahorska-Markiewicz, B, Pupek-Musialik, D, Franek, E, Ostrowska, L, Olszanecka-Glinianowicz, M, Lalic, N, Micic, D, Ludvik, B, Paulweber, B, Prager, R, Scheen, A, Van Gaal, L, Astrup, Av, Hermansen, K, Madsbad, S, Rissanen, A, Nieminen, S, Savolainen, M, Krempf, M, Romon, M, Laville, M, Marre, M, Mira, R, Finucane, F, Veenendaal, A, van Berkum, F, Johannsson-Vidarsdóttir, S, Van de Walle, V, Meesters, E, Hjelmesæth, J, Klemsdal, To, Kulseng, B, Bach-Kliegel, B, Laederach, K, Villiger, L, Golay, A, Bilz, S, Sathyapalan, T, Bain, S, Kumar, S, Le Roux CW, Lean, Me, Mcgowan, B, Rehman, T, Wilding, J, Wittert, G, Caterson, I, Proietto, J, Prins, J, Geloneze Neto, B, Gross, Jl, Chacra, Ar, Halpern, A, Suplicy Hde, A, Chow, Fc, Thacker, Hp, Chadha, M, Chandalia, H, Unnikrishnan, A, Kalra, S, Deshpande, N, Shunmugavelu, M, Deshmukh, Vc, Maislos, M, Lieberman, Gs, Shimon, I, Stern, N, Nabriski, D, Karnieli, E, Shehadeh, N, Gonzalez-Galvez, G, Arechavaleta-Granell Mdel, R, Violante Ortiz RM, Franco, Gm, Gurieva, I, Suplotova, La, Troshina, E, Ruyatkina, La, Voychik, Ea, Martsevich, S, Startseva, Ma, Seeber, Me, Badat, A, Ellis, G, Altuntas, Y, Guler, S, Ulgen, E, Delibasi, T, Chetty, T, Hart, R, Janzen, J, Labonte, I, Lau, D, Liutkus, J, O'Keefe, D, Padwal, R, Ransom, Tp, Tytus, R, Weisnagel, Sj, Adler, J, Aqua, K, Aronoff, Sl, Bedel, Gw, Blevins, Tc, Blumenau, J, Brockmyre, Ap, Call, Rs, Canadas, R, Chaykin, Lb, Cohen, K, Conrow, Jk, Davis, Mg, Downey, Hj, Drosman, Sr, Duckor, S, Farmer, H, Farrell, J, Fehnel, S, Finneran, Mp, Forbes, R, Forker, A, Fredrick, M, Fujioka, K, Geller, Sa, Gill, S, Glaser, L, Greco, Sn, Greenway, Fl, Harper, W, Herman, L, Hoekstra, J, Ingebretsen, R, Ison, R, Jain, Rk, Kaplan, R, Kaster, Sr, Haase, Ga, Kerzner, B, Kirstein, Jl, Koltun, W, Krieger, Dr, Lewis, Ce, Madder, R, Marple, Rn, Mcdermott, Ej, Mello, Cj, Miller, Ab, Mullen, J, Nardandrea, J, O'Neil, P, Pi-Sunyer, F, Pucillo, Rm, Rhee, C, Redrick, S, Pardini, A, Rothman, J, Rubino, Dm, Sellers, G, Smith, T, Byars, Wd, Soufer, J, Sussman, Am, Patrick, K, Schramm, El, Van Cleeff, M, Berg, Sr, Wyatt, Hr, Simon, Ja., Columbia University [New York], Obesity Research Center, The University of Tennessee [Knoxville], Department of Nutrition, Exercise and Sports [Copenhagen], Faculty of Science [Copenhagen], University of Copenhagen = Københavns Universitet (KU)-University of Copenhagen = Københavns Universitet (KU), Scripps Research Institute, Louisiana State University (LSU), Universidade de São Paulo (USP), Centre hospitalier universitaire de Nantes (CHU Nantes), University of Calgary, University College Dublin (UCD), Instituto Mexicano del Seguro Social [Mexico City, Mexico] (IMSS), Novo Nordisk, Department of Obesity and Endocrinology, University of Liverpool, Pi-Sunyer, Xavier, Astrup, Arne, Fujioka, Ken, Greenway, Frank, Halpern, Alfredo, Krempf, Michel, Lau, David C.W., Le Roux, Carel W., Ortiz, Rafael Violante, Jensen, Christine Bjørn, Wilding, John P.H., the SCALE Obesity and Prediabetes NN8022-1839 Study Group [.., Marchesini, Giulio, ], Pi-Sunyer, X., Astrup, A., Fujioka, K., Greenway, F., Halpern, A., Krempf, M., Lau, D., le Roux, C., Violante Ortiz, R., Jensen, C., Wilding, J. COLLABORATORS: amann A, Barakat A, Blüher M, Linn T, Mölle A, Segner A, Stübler P, Tosch-Sisting R, Pacini F, Santini F, Marchesini G, Rotella CM, Invitti C, Vettor R, Buscemi S, and Raya PM, Freijoo FC, de Barbará RG, Carraro R, Bobillo ER, de la Cuesta C, Farsang C, Csaszar A, Zahorska-Markiewicz B, Pupek-Musialik D, Franek E, Ostrowska L, Olszanecka-Glinianowicz M, Lalic N, Micic D, Ludvik B, Paulweber B, Prager R, Scheen A, Van Gaal L, Astrup AV, Hermansen K, Madsbad S, Rissanen A, Nieminen S, Savolainen M, Krempf M, Romon M, Laville M, Marre M, Mira R, Finucane F, Veenendaal A, van Berkum F, Johannsson-Vidarsdóttir S, Van de Walle V, Meesters E, Hjelmesæth J, Klemsdal TO, Kulseng B, Bach-Kliegel B, Laederach K, Villiger L, Golay A, Bilz S, Sathyapalan T, Bain S, Kumar S, Le Roux CW, Lean ME, McGowan B, Rehman T, Wilding J, Wittert G, Caterson I, Proietto J, Prins J, Geloneze Neto B, Gross JL, Chacra AR, Halpern A, Suplicy Hde A, Chow FC, Thacker HP, Chadha M, Chandalia H, Unnikrishnan A, Kalra S, Deshpande N, Shunmugavelu M, Deshmukh VC, Maislos M, Lieberman GS, Shimon I, Stern N, Nabriski D, Karnieli E, Shehadeh N, Gonzalez-Galvez G, Arechavaleta-Granell Mdel R, Violante Ortiz RM, Franco GM, Gurieva I, Suplotova LA, Troshina E, Ruyatkina LA, Voychik EA, Martsevich S, Startseva MA, Seeber ME, Badat A, Ellis G, Altuntas Y, Guler S, Ulgen E, Delibasi T, Chetty T, Hart R, Janzen J, Labonte I, Lau D, Liutkus J, O'Keefe D, Padwal R, Ransom TP, Tytus R, Weisnagel SJ, Adler J, Aqua K, Aronoff SL, Bedel GW, Blevins TC, Blumenau J, Brockmyre AP, Call RS, Canadas R, Chaykin LB, Cohen K, Conrow JK, Davis MG, Downey HJ, Drosman SR, Duckor S, Farmer H, Farrell J, Fehnel S, Finneran MP, Forbes R, Forker A, Fredrick M, Fujioka K, Geller SA, Gill S, Glaser L, Greco SN, Greenway FL, Harper W, Herman L, Hoekstra J, Ingebretsen R, Ison R, Jain RK, Kaplan R, Kaster SR, Haase GA, Kerzner B, Kirstein JL, Koltun W, Krieger DR, Lewis CE, Madder R, Marple RN, McDermott EJ, Mello CJ, Miller AB, Mullen J, Nardandrea J, O'Neil P, Pi-Sunyer F, Pucillo RM, Rhee C, Redrick S, Pardini A, Rothman J, Rubino DM, Sellers G, Smith T, Byars WD, Soufer J, Sussman AM, Patrick K, Schramm EL, Van Cleeff M, Berg SR, Wyatt HR, Simon JA.
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Blood Glucose ,Counseling ,Male ,Type 2 diabetes ,law.invention ,Body Mass Index ,Randomized controlled trial ,Weight loss ,law ,Glucagon-Like Peptide 1 ,Weight management ,Subcutaneous ,Medicine (all) ,Reducing ,Nausea ,General Medicine ,Middle Aged ,Combined Modality Therapy ,3. Good health ,Female ,type 2 diabetes ,medicine.symptom ,Human ,medicine.drug ,Adult ,Diarrhea ,medicine.medical_specialty ,Diet, Reducing ,Injections, Subcutaneous ,Injections, Subcutaneou ,Placebo ,Injections ,Double-Blind Method ,Internal medicine ,Weight Loss ,medicine ,Humans ,Hypoglycemic Agents ,Obesity ,Exercise ,Hypoglycemic Agent ,Liraglutide ,business.industry ,medicine.disease ,Weight Lo ,Diet ,Endocrinology ,business ,[SDV.AEN]Life Sciences [q-bio]/Food and Nutrition ,Body mass index ,[SDV.MHEP]Life Sciences [q-bio]/Human health and pathology ,Dyslipidemia - Abstract
BACKGROUND: Obesity is a chronic disease with serious health consequences, but weight loss is difficult to maintain through lifestyle intervention alone. Liraglutide, a glucagon-like peptide-1 analogue, has been shown to have potential benefit for weight management at a once-daily dose of 3.0 mg, injected subcutaneously. METHODS: We conducted a 56-week, double-blind trial involving 3731 patients who did not have type 2 diabetes and who had a body-mass index (BMI; the weight in kilograms divided by the square of the height in meters) of at least 30 or a BMI of at least 27 if they had treated or untreated dyslipidemia or hypertension. We randomly assigned patients in a 2:1 ratio to receive once-daily subcutaneous injections of liraglutide at a dose of 3.0 mg (2487 patients) or placebo (1244 patients); both groups received counseling on lifestyle modification. The coprimary end points were the change in body weight and the proportions of patients losing at least 5% and more than 10% of their initial body weight. RESULTS: At baseline, the mean (±SD) age of the patients was 45.1±12.0 years, the mean weight was 106.2±21.4 kg, and the mean BMI was 38.3±6.4; a total of 78.5% of the patients were women and 61.2% had prediabetes. At week 56, patients in the liraglutide group had lost a mean of 8.4±7.3 kg of body weight, and those in the placebo group had lost a mean of 2.8±6.5 kg (a difference of -5.6 kg; 95% confidence interval, -6.0 to -5.1; P
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- 2015
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7. Human resistin gene polymorphism is associated with visceral obesity and fasting and oral glucose stimulated C-peptide in the Québec Family Study
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Louis Pérusse, Weisnagel Sj, Thomas J. Hudson, James C. Engert, Claude Bouchard, Luigi Bouchard, and Marie-Claude Vohl
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Adult ,Blood Glucose ,Male ,medicine.medical_specialty ,Adolescent ,Genotype ,Endocrinology, Diabetes and Metabolism ,medicine.medical_treatment ,Type 2 diabetes ,Biology ,Carbohydrate metabolism ,Cohort Studies ,chemistry.chemical_compound ,Endocrinology ,Insulin resistance ,Internal medicine ,Abdomen ,medicine ,Humans ,Hypoglycemic Agents ,Insulin ,Resistin ,Obesity ,Aged ,Aged, 80 and over ,Polymorphism, Genetic ,C-Peptide ,C-peptide ,Quebec ,Glucose Tolerance Test ,Middle Aged ,medicine.disease ,Pedigree ,Phenotype ,Adipose Tissue ,Diabetes Mellitus, Type 2 ,chemistry ,Hormones, Ectopic ,Body Composition ,Female ,Insulin Resistance ,Body mass index - Abstract
Obesity and insulin resistance are common features of Type 2 Diabetes. A new protein called resistin has been shown to be secreted by adipocytes in mice and to influence insulin sensitivity. The goal of the present study was to investigate the associations between one polymorphism (g-420C>G) of the human resistin gene and phenotypes related to adiposity and glucose metabolism. We genotyped 725 (including 42 diabetics) adult subjects participating in the Quebec Family Study (QFS) by a minisequencing method. Forty-two were diabetic subjects. Phenotypes measured were: body mass index (BMI) and waist circumference (WC), % body fat (PFAT) and fat mass (FM) assessed by under water weighing, abdominal total, subcutaneous and visceral fat assessed by computed tomography and fasting plasma glucose, insulin and C-peptide and their responses to an oral glucose tolerance test (OGTT). Comparisons between genotypes were performed in non-diabetic men (no.=280) and women (no.=403) separately by analyses of covariance (ANCOVA). Among men, g-420 G homozygotes had less visceral fat (p
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- 2004
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8. Cardiorenal End Points in a Trial of Aliskiren for Type 2 Diabetes
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Parving, Hh, Brenner, Bm, Mcmurray, Jj, de Zeeuw, D, Haffner, Sm, Solomon, Sd, Chaturvedi, N, Persson, F, Desai, As, Nicolaides, M, Richard, A, Xiang, Z, Brunel, P, Pfeffer, Ma, Viberti, G, Lachin, Jm, Zinman, B, Pedersen, Tr, Villamil, As, Juncos, L, Prager, R, Verpooten, G, Zanella, Mt, Leiter, L, Pan, C, Wang, H, Botero, R, Cifkova, R, Christiansen, Js, Groop, Ph, Marre, M, Haller, H, Nickenig, G, Siamopoulos, K, Gero, L, Maggioni, A, Remuzzi, G, Katayama, Ss, Kim, Sg, Petrulioniene, Z, Lok, D, Kooy, A, Jorde, R, Medina, F, Polonia, J, Wong, Ks, Dukat, A, Rayner, Bl, Ruilope, L, Weiss, L, Wuethrich, R, Sheu, W, Sritara, P, Comlekci, A, Bilous, R, Toto, R, Jamerson, K, Carillo, E, Orias, M, Kuschnir, E, Rusculleda, M, Garcia, S, Farias, E, Lema, L, Hominal, M, Montaña, O, Sala, J, Diaz, M, Piskorz, D, Vita, N, Litwak, L, Sinay, I, Marin, M, Massari, P, Majul, C, Aizemberg, D, Azize, Gm, Bartolacci, I, Reboredo, A, Vico, M, Milesi, R, Sessa, H, Wassermann, A, Margulis, F, Zangroniz, P, Watschinger, B, Toplak, H, Paulweber, B, Drexel, H, Francesconi, C, Foeger, B, Mayer, G, Braun, Rk, Brath, H, Gaal, Lv, Niepen, Pv, Persu, A, Vercammen, C, Vriese, Ad, Coucke, F, Mathieu, C, Fery, F, Treille, S, Meeus, G, Acker, Kv, Scheen, A, Tits, J, Ruige, J, Krzesinski, Jm, Hollanders, G, Liénart, F, Dendale, P, Quinonez, M, Arnouts, P, Vanuytsel, J, Zanella, M, Mion D., Jr, Forti, A, Almeida, F, Cunha, R, de Paula RB, Brandao, A, Rocha, J, Krieger, E, Feitosa, G, Saraiva, J, Martin, J, Hissa, Mn, Schmid, H, Felicio, J, Sgarbi, J, Oigman, W, Bowering, K, Garceau, C, Berlingieri, Jc, Weisnagel, Sj, Hardin, P, Powell, C, Turcot, R, Muirhead, N, Aronson, R, Barima, Yt, Steele, Aw, Pandey, S, Woo, V, Cha, J, Dattani, D, Godin, C, Gupta, M, Saunders, K, Tellier, G, Ting, R, Tobe, S, Chouinard, G, Schlosser, R, Khandwala, H, Ekoe, Jm, Harris, Sb, Pichette, V, Lachance, P, Ooi, Tc, Tildesley, H, Barrett, B, Cournoyer, S, Lu, J, Zhang, H, Liu, X, Yan, S, Qi, X, Li, Q, Li, H, Lv, X, Yang, J, Sun, N, Xia, W, Wang, N, Tong, N, Mei, C, Gu, S, Zhang, J, Chen, X, Li, L, Su, B, Wang, L, Qiu, M, Wu, X, Liu, Z, Jia, W, Xu, G, Dong, J, Zhu, D, Zhang, M, Yan, J, Liu, B, Chen, J, Fu, J, Yan, L, Zhan, X, Zhong, L, Yang, T, Ma, J, Xu, M, Xu, X, Shi, B, Ji, Q, Zhong, H, He, R, Yuan, Z, Zhou, Z, Lin, H, Yang, W, Ke, Y, Hong, T, Franco, C, Casas, L, Triana, A, Jaramillo, C, Hernandez, E, Barrera, C, Blanco, D, Stipal, R, Widimsky, P, Dohnalova, L, Komroskova, M, Kvapil, M, Belobradkova, J, Tesar, V, Vodnansky, P, Kocourkova, B, Lervang, Hh, Perrild, H, Rossing, P, Oestergaard, O, Juhl, H, Thorsteinsson, B, Snorgaard, O, Urhammer, S, Egstrup, K, Tikkanen, T, Helin, K, Rinne, J, Lahtela, J, Strand, J, Valtonen, E, Saari, M, Kananen, K, Savela, K, Blacher, J, Aldigier, Jc, Zaoui, P, Fauvel, Jp, Gouet, D, Valensi, Pe, Charpentier, G, Marechaud, R, Penfornis, A, Ovize, M, Kovalchuck, Aa, Dellanna, F, Schoen, N, Groeschel, W, Eickhoff, F, Hanefeld, M, Merke, J, Rambausek, M, Zimmermann, U, Stuetz, W, Vosskuehler, A, Hevendehl, G, Schax, U, Lehmann, G, Haack, A, Hilgenberg, J, Klausmann, G, Adelberger, V, Gessner, S, Fiesselmann, A, Oerter, E, Hohenstatt, T, Groeschel, A, Behnke, T, Sisting, Rt, Schoch, D, Bieler, T, Schleyer, S, Altes, U, Klepzig, C, Rudofsky, G, Mueller, G, Burkhardt, F, Reschke, K, Senftleber, I, Wiesweg, Ck, Herrmann, Hj, Brandstetter, R, Segner, A, Schmitt, H, Rippert, R, Goebel, R, Schreibmueller, F, Pencz, I, Ott, P, Migdalis, I, Pappas, S, Pagkalos, E, Yalouris, A, Tsapas, A, Maltezos, E, Tentolouris, N, Papadakis, I, Ioannidis, G, Goumenos, D, Corona, V, Gonzalez, R, Haase, F, Monterroso, V, Sánchez, V, Turcios, E, Wyss, F, Arango, Jl, Bako, B, Deak, L, Dömötör, E, Dudas, M, Fulop, T, Kiss, I, Koranyi, L, Lengyel, Z, Nyirati, G, Oroszlan, T, Aniko, S, Vörös, P, Kapocsi, J, Wittmann, I, Paragh, G, Abraham, G, Tandon, N, Thomas, N, Mohan, V, Sahay, R, Sethi, B, Rao, V, Kumar, S, Chowdhury, S, Dharmalingam, M, Seshiah, V, Bantwal, G, Viswanathan, V, Yajnik, C, Adhikari, P, Krishnan, U, Varthakavi, P, Hiremath, J, Bhattacharyya, A, Dani, S, Modi, Kk, Glorioso, N, Morosetti, M, Veglio, Franco, Perticone, F, Dotta, F, Quarello, F, Sesti, G, Aiello, A, D'Ospina, A, Giordano, C, Novo, S, Santoro, A, Ferri, C, Capuano, V, Trimarco, B, Tonolo, G, Villa, G, De Pellegrin, A, Zanette, G, Federici, M, Aucello, G, Piatti, P, Vinciguerra, A, Mannarino, E, Taddei, S, Filetti, S, Grandaliano, G, Marchionni, N, Lambiase, C, Locatelli, F, Scanferla, F, Lembo, G, Leotta, S, Mos, L, Calatola, P, Fogari, R, David, S, Pedrinelli, R, Pignone, Am, Cozzolino, D, Bevilacqua, Mt, Catena, C, Del Prato, S, Cerasola, G, Frontoni, S, Falcone, C, Porta, A, Bonora, E, Cocchi, R, Fucili, A, Frisinghelli, A, Volpe, M, Carugo, S, Gambardella, S, Spagnuolo, V, Maglia, G, D'Angelo, Ar, Corsi, A, Limone, Pp, Guarnieri, A, Ghigo, Ezio, Ronchi, E, Ravera, M, Scioli, Ga, Sekiguchi, M, Aoki, S, Ogawa, Y, Seino, H, Onishi, Y, Tojo, A, Narimiya, M, Iwaita, Y, Takeda, H, Shimizu, H, Yamada, T, Kojima, S, Zushi, S, Kaneko, S, Matsumoto, A, Kajiyama, S, Fujita, H, Shikata, K, Tone, A, Matsubayashi, S, Tanaka, S, Sekigami, T, Tatsukawa, Y, Abe, N, Kawahara, K, Kasahara, H, Maeda, Y, Suzuki, Y, Okamoto, H, Tachi, K, Yamada, K, Uzu, T, Itou, T, Fukui, T, Kim, S, Kim, Y, Cho, W, Kwak, I, Chae, D, Oh, H, Ha, S, Shin, Y, Cha, D, Kang, S, Lim, C, Song, J, Kwon, Y, Badariene, J, Labutiniene, Ip, Zabuliene, L, Poteliuniene, V, Miglinas, M, van den Meiracker AH, Gregoor, Pj, Luik, Aj, van Loon BJ, Feenstra, Hj, Kaasjager, Ha, Viergever, Pp, Woittiez, Aj, van Bemmel, T, Lieverse, Ag, Simsek, S, Gaillard, Ca, van der Zwaan, C, Lok, Dj, Spiering, W, Nierop, Pr, Baggen, Mg, Leendert, Rj, de Jong, A, Leurs, Pb, Vincent, Hh, Wins, Eh, Voors, Aa, Ronner, E, Heeg, Je, van Hal JM, Boermans, T, Feis, Wl, Mostard, G, Bakker, Rc, Dunselman, Ph, Skeie, S, Istad, H, Skjelvan, G, Gronert, J, Tomala, T, Gudnason, S, Torvik, Dt, Risberg, K, Abedini, S, Cabrera, W, Medina, B, Herrada, B, Saavedra, A, Polonia, Dj, Providencia, Dl, Carvalho, D, Vasconcelos, Mp, da Silva GF, Branco, P, Gil, Dv, da Costa AG, da Silva PM, Arez, L, Martins, L, Birne, R, Dzuponova, J, Surovcikova, M, Culak, J, Filipova, S, Andre, I, Stevlik, J, Uhliar, R, Fabryova, L, Benacka, J, Koleny, D, Szentivanyi, M, Spisak, V, Pella, D, Pastrnakova, E, Martinka, E, Chua, T, Lau, T, Ng, Tg, Yeoh, Ly, Bhana, Sa, Rayner, B, Wellmann, H, Amod, A, Ranjith, N, Ahmed, F, Rheeder, P, Makan, H, Naicker, P, Podgorski, G, De Teresa, E, Olivan, J, Fernandez, Vl, Povedano, St, Terns, M, Ricart, W, Gonzalez, Jm, Fernandez, P, Parreño Lde, T, Redon, J, Parra, J, Calvo, C, Lopez, I, Puig, Jg, Calle, A, Garcia, Jc, Lopez, Jm, Jimenez, Ml, Fraile, B, Perez, Js, Nadal, Jj, Guija, E, Calviño, J, Barrios, V, Iglesias, Jn, Armario, P, Garcia, M, Aranda, P, Brotons, C, Gomez, P, Catelao, Am, Cusachs, Ar, Sarro, M, Martinez, V, dell Valle MH, Trias, F, Comas, A, Salvador, N, Martinez, F, Hernandez, F, Martinez, J, Mateos, C, Peral, Jl, Tolosana, J, Sobrino, J, Isart, J, Vizcaino, J, Vega, Ff, Zamorano, Jl, Bacariza, M, Soubriet, A, Fernández Cruz, A, Querejeta, R, Leira, Vm, Iglesias, Fe, Ibrik, O, Martin, D, Nanclares, Ms, Mediavilla, Jd, Galceran, Jm, Lopez, A, Muros, T, Pascual, J, Casalla, F, Tornero, F, Fernandez, G, Pettersson, P, Olsen, H, Franke, F, Stroembom, U, Furuland, H, Larnefelt, H, Allemann, Y, Krapf, R, Gerber, P, Munger, R, Hayoz, D, Graf, Hj, Burnier, M, Petrillo, A, Batt, R, Constam, En, Moccetti, T, Bianda, T, Rickli, H, Bulliard, C, Wu, Kd, Lin, Sh, Wu, Cj, Sheu, Wh, Su, Sl, Chen, Sc, Chou, Cw, Lee, Ct, Yang, Tc, Chen, Hc, Sukonthasarn, A, Sriratanasathavorn, C, Eiam Ong, S, Supasyndh, O, Chanchairujira, T, Kitiyakara, C, Arici, M, Usalan, C, Guneri, S, Koc, M, Kalender, B, Ates, K, Gurgun, C, Araz, M, Demirbas, B, Biernacki, W, Calvert, J, Eavis, P, Kerrane, J, Litchfield, J, Middleton, A, Roberts, J, Simpson, H, Charles, H, Jardine, A, Fisher, M, Banerjee, D, Gallen, I, Gnudi, L, Harvey, J, O'Hare, P, Vora, J, Winocour, P, Soran, H, Browne, D, Darko, D, Mancebo, Jg, de Roa ER, Antepara, N, Carrillo, E, Berrizbeitia, M, Guevara, L, Pernalete, N, Ontiveros, C, Zigrang, W, Blakney, E, Rosenblit, P, Weinstein, R, Klaff, L, Lipetz, R, Busick, E, Tung, P, Cooperman, M, Michael, S, Sun, Ch, Hart, T, Maddux, A, Bowden, R, East, C, Arakaki, R, Villafuerte, B, Mamish, Z, Mendez, R, Connery, L, Nour, K, Wynne, A, Busch, R, Zamora, B, Sachson, R, Prasad, J, Lasala, G, Smith, M, Fitz Patrick, D, Ruiz Rivera, L, Barranco, E, Solomon, R, Woolley, A, Brown, C, Freedman, Z, Schmidt, S, Pollock, J, Ruddy, M, Kopyt, Np, Bazzi, A, Horowitz, B, Feng, W, Wahl, T, Duprez, D, Gilbert, J, Steigerwalt, S, Jacqmein, J, Gorton, S, 3rd, Allison J., Pino, J, Lock, J, Leimbach, W, Anderson, J, Beacom, M, Craig, W, Gorson, D, Kerstein, H, Segal, S, Downey, H, Ledger, G, Mcgill, J, Gabriel, J, Nolen, T, Levinson, L, Williams, T, Levenson, D, Lerman, S, Minehart, C, Agarwal, N, Verma, S, Valitutto, M, Demetry, K, Mersey, J, Koeper, D, Fanti, P, Eng, G, Grimm, R, Fagan, T, Bajaj, M, Katz, L, Portnay, G, Altschuller, A, Desai, V, Bilazarian, S, Ipp, E, Rodelas, R, Burstein, D, Berg, J, Velez, J, Lund, R, Rekhi, A, Martin, E, Robertson, D, Singh, N, Narayan, P, Moustafa, M, Lanier, D, Seidner, M, Phillips, A, Vaughters, B, Sprague, A, Swartz, S, Lopez, R, Kumar, J, Bressler, P, Sadler, L, Wise, J, Kilbane, A., and Groningen Kidney Center (GKC)
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Male ,Hyperkalemia ,CARDIOVASCULAR MORTALITY ,BLOOD-PRESSURE ,Angiotensin-Converting Enzyme Inhibitors ,Type 2 diabetes ,GLOMERULAR-FILTRATION-RATE ,DOUBLE-BLIND ,chemistry.chemical_compound ,Fumarates ,cardiovascular disease ,Renin ,Treatment Failure ,Settore MED/49 - Scienze Tecniche Dietetiche Applicate ,610 Medicine & health ,diabetes ,Medicine (all) ,Hazard ratio ,aliskiren ,diabete ,trial clinico ,Liter ,General Medicine ,Middle Aged ,hypertension ,Cardiovascular Diseases ,Combination ,HEART-FAILURE ,Drug Therapy, Combination ,Female ,Kidney Diseases ,type 2 diabetes ,medicine.symptom ,Type 2 ,medicine.medical_specialty ,Patient Dropouts ,Urology ,Hypokalemia ,Aliskiren ,chronic kidney disease ,Placebo ,Angiotensin Receptor Antagonists ,LEFT-VENTRICULAR DYSFUNCTION ,Drug Therapy ,Double-Blind Method ,Diabetes Mellitus ,medicine ,Humans ,CONVERTING-ENZYME INHIBITORS ,Antihypertensive Agents ,Aged ,Amides ,Diabetes Mellitus, Type 2 ,Follow-Up Studies ,business.industry ,medicine.disease ,Confidence interval ,Surgery ,Blood pressure ,MYOCARDIAL-INFARCTION ,chemistry ,SYSTOLIC DYSFUNCTION ,FOLLOW-UP ,business - Abstract
BACKGROUND This study was undertaken to determine whether use of the direct renin inhibitor aliskiren would reduce cardiovascular and renal events in patients with type 2 diabetes and chronic kidney disease, cardiovascular disease, or both. METHODS In a double-blind fashion, we randomly assigned 8561 patients to aliskiren (300 mg daily) or placebo as an adjunct to an angiotensin-converting-enzyme inhibitor or an angiotensin-receptor blocker. The primary end point was a composite of the time to cardiovascular death or a first occurrence of cardiac arrest with resuscitation; nonfatal myocardial infarction; nonfatal stroke; unplanned hospitalization for heart failure; end-stage renal disease, death attributable to kidney failure, or the need for renal-replacement therapy with no dialysis or transplantation available or initiated; or doubling of the baseline serum creatinine level. RESULTS The trial was stopped prematurely after the second interim efficacy analysis. After a median follow-up of 32.9 months, the primary end point had occurred in 783 patients (18.3%) assigned to aliskiren as compared with 732 (17.1%) assigned to placebo (hazard ratio, 1.08; 95% confidence interval [CI], 0.98 to 1.20; P = 0.12). Effects on secondary renal end points were similar. Systolic and diastolic blood pressures were lower with aliskiren (between-group differences, 1.3 and 0.6 mm Hg, respectively) and the mean reduction in the urinary albumin-to-creatinine ratio was greater (between-group difference, 14 percentage points; 95% CI, 11 to 17). The proportion of patients with hyperkalemia (serum potassium level, = 6 mmol per liter) was significantly higher in the aliskiren group than in the placebo group (11.2% vs. 7.2%), as was the proportion with reported hypotension (12.1% vs. 8.3%) (P CONCLUSIONS The addition of aliskiren to standard therapy with renin-angiotensin system blockade in patients with type 2 diabetes who are at high risk for cardiovascular and renal events is not supported by these data and may even be harmful. (Funded by Novartis; ALTITUDE ClinicalTrials.gov number, NCT00549757.)
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- 2012
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9. Effects of sitagliptin therapy on markers of low-grade inflammation and cell adhesion molecules in patients with type 2 diabetes
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Tremblay, AJ, Lamarche, B, Deacon, Carolyn F., Weisnagel, SJ, Couture, P, Tremblay, AJ, Lamarche, B, Deacon, Carolyn F., Weisnagel, SJ, and Couture, P
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- 2014
10. An explained variance-based genetic risk score associated with gestational diabetes antecedent and with progression to pre-diabetes and type 2 diabetes: a cohort study
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Cormier, H, primary, Vigneault, J, additional, Garneau, V, additional, Tchernof, A, additional, Vohl, M-C, additional, Weisnagel, SJ, additional, and Robitaille, J, additional
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- 2014
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11. The human obesity gene map: the 1999 update
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Louis Pérusse, Claude Bouchard, Yvon C. Chagnon, Tuomo Rankinen, and Weisnagel Sj
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Genetics ,Candidate gene ,Autosome ,Gene map ,Genetic Linkage ,Endocrinology, Diabetes and Metabolism ,Public Health, Environmental and Occupational Health ,Medicine (miscellaneous) ,Chromosome Mapping ,Locus (genetics) ,Quantitative trait locus ,Biology ,Endocrinology ,Genetic linkage ,Mutation ,Animals ,Humans ,Human genome ,Obesity ,Gene ,Crosses, Genetic ,Food Science - Abstract
This report constitutes the sixth update of the human obesity gene map incorporating published results up to the end of October 1999. Evidence from the rodent and human obesity cases caused by single gene mutations, Mendelian disorders exhibiting obesity as a clinical feature, quantitative trait loci (QTL) uncovered in human genome-wide scans and in crossbreeding experiments with mouse, rat, pig and chicken models, association and linkage studies with candidate genes and other markers is reviewed. Twenty-five human cases of obesity can now be explained by variation in five genes. Twenty Mendelian disorders exhibiting obesity as one of their clinical manifestations have now been mapped. The number of different QTLs reported from animal models reaches now 98. Attempts to relate DNA sequence variation in specific genes to obesity phenotypes continue to grow, with 89 reports of positive associations pertaining to 40 candidate genes. Finally, 44 loci have linked to obesity indicators in genomic scans and other linkage study designs. The obesity gene map depicted in Figure 1 reveals that putative loci affecting obesity-related phenotypes can be found on all autosomes, with chromosomes 14 and 21 showing each one locus only. The number of genes, markers, and chromosomal regions that have been associated or linked with human obesity phenotypes continues to increase and is now well above 200. Figure 1. The 1999 human obesity gene map. The map includes all putative obesity-related phenotypes identified from the various lines of evidence reviewed in the article. The chromosomes and their regions are from the Gene Map of the Human Genome web site hosted by the National Center for Biotechnology Information, National Institutes of Health, Bethesda, MD (URL:http:www.ncbi.nlm.nih.gov). The chromosome number and the size of each chromosome in megabases (Mb) are given at the top and bottom of the chromosomes, respectively. Loci abbreviations and full names are given in the Appendix. The abbreviations for QTLs are given in Table 4.
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- 2000
12. Effect of Sitagliptin therapy on postprandial lipoprotein levels in patients with type 2 diabetes
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Tremblay, AJ, Lamarche, B, Deacon, Carolyn F., Weisnagel, SJ, Couture, P, Tremblay, AJ, Lamarche, B, Deacon, Carolyn F., Weisnagel, SJ, and Couture, P
- Abstract
Aim: Recent studies indicate that type 2 diabetes is associated with an increased secretion of both hepatic and intestinal lipoproteins, leading to the accumulation of atherogenic triglyceride (TG)-rich lipoproteins. Sitagliptin is a selective inhibitor of dipeptidyl peptidase-4 that has been shown to reduce fasting and postprandial glucose levels in patients with type 2 diabetes presumably through incretin hormone-mediated improvements in islet function. The objective of the present study is to examine the effects of treatment with sitagliptin on postprandial lipid and incretin hormone levels as well as glucose homeostasis in patients with type 2 diabetes. Methods: Thirty-six subjects with type 2 diabetes (30 men/6 postmenopausal women with a mean age of 58.1 ± 6.4 years and a body mass index of 30.7 ± 4.9 kg/m2) were recruited in this double-blind cross-over study using sitagliptin 100 mg/day or placebo for a 6-week period each, with a 4-week washout period between the two phases. At the end of each phase of treatment, patients underwent an oral lipid tolerance test providing 35 g of fat per m2 of body surface area and blood samples were taken over an 8-h period. Results: Sitagliptin therapy significantly decreased the postprandial area under the curves (AUCs) for plasma apolipoprotein (apo)B (-5.1%, p = 0.002), apoB-48 (-7.8%, p = 0.03), TG (-9.4%, p = 0.006), very low-density lipoprotein (VLDL)-cholesterol (-9.3%, p = 0.001), free fatty acids (FFAs) (-7.6%, p = 0.005) and glucose (-9.7%, p < 0.0001). Furthermore, the postprandial AUCs for plasma intact glucagonlike peptide-1 (+67.8%, p < 0.0001) and glucose-dependent insulinotropic polypeptide (+67.3%, p < 0.0001) were significantly increased following treatment with sitagliptin, whereas the AUC for plasma glucagon was reduced by -9.7% (p = 0.001) with no significant changes in the AUCs for plasma insulin and C-peptide. Sitagliptin th
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- 2011
13. An explained variance-based genetic risk score associated with gestational diabetes antecedent and with progression to pre-diabetes and type 2 diabetes: a cohort study.
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Cormier, H, Vigneault, J, Garneau, V, Tchernof, A, Vohl, M‐C, Weisnagel, SJ, and Robitaille, J
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GESTATIONAL diabetes ,DISEASE progression ,TYPE 2 diabetes ,DISEASES in women ,DISEASE susceptibility ,GLUCOSE intolerance ,PROGNOSIS ,DISEASE risk factors - Abstract
Objective To determine whether an explained-variance genetic risk score ( GRS), with 36 single nucleotide polymorphisms ( SNPs) previously associated with type 2 diabetes ( T2 D), is also associated with gestational diabetes mellitus ( GDM), and with the progression to pre-diabetes and T2 D among women with prior GDM. Design A cohort study. Setting Clinical investigation unit of Laval University, Quebec, Canada. Population A cohort of 214 women with prior GDM and 82 controls recruited between 2009 and 2012. Methods Associations between the GRS and GDM. Main outcomes measures GDM and prevalence of pre-diabetes and T2 D. Results Women with prior GDM had a higher GRS compared with controls (38.6 ± 3.9, 95% CI 38.1-39.1, versus 37.4 ± 3.2, 95% CI 36.7-38.1; P < 0.0001). In women with prior GDM, the explained-variance GRS was higher for pre-diabetic women compared with women who remained normoglucotolerant at testing (1.21 ± 0.18, 95% CI 1.18-1.23, versus 1.17 ± 0.15, 95% CI 1.13-1.20; P < 0.0001). Similarly, women with T2 D had a higher explained-variance GRS compared with women with prior GDM who remained normoglucotolerant (1.20 ± 0.18, 95% CI 1.14-1.25, versus 1.17 ± 0.17, 95% CI 1.13-1.20; P < 0.0001). The predictive effects of the explained-variance GRS, age, and body mass index ( BMI), or the additive effects of the three variables, were tested for pre-diabetes and T2 D. We observed an area under the curve of 0.6269 (95% CI 0.5638-0.6901) for age and BMI, and adding the explained-variance GRS into the model increased the area to 0.6672 (95% CI 0.6064-0.7281) for the prediction of pre-diabetes. Conclusions An explained-variance GRS is associated with both GDM and progression to pre-diabetes and T2 D in women with prior GDM. [ABSTRACT FROM AUTHOR]
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- 2015
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14. Familial resemblance for glucose and insulin metabolism indices derived from an intravenous glucose tolerance test in Blacks and Whites of the HERITAGE Family Study
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Hong, Y, primary, Weisnagel, SJ, additional, Rice, T, additional, Sun, G, additional, Mandel, SA, additional, Gu, C, additional, Rankinen, T, additional, Gagnon, J, additional, Leon, AS, additional, Skinner, JS, additional, Wilmore, JH, additional, Bergman, RN, additional, Bouchard, C, additional, and Rao, DC, additional
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- 2001
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15. Dietary cod protein improves insulin sensitivity in insulin-resistant men and women: a randomized controlled trial.
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Ouellet V, Marois J, Weisnagel SJ, and Jacques H
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OBJECTIVE: The purpose of this article was to compare the effects of cod protein to those of other animal proteins on insulin sensitivity in insulin-resistant human subjects. RESEARCH DESIGN AND METHODS: Insulin sensitivity (M/I) was assessed using a hyperinsulinemic-euglycemic clamp in 19 insulin-resistant subjects fed a cod protein diet and a similar diet containing lean beef, pork, veal, eggs, milk, and milk products (BPVEM) for 4 weeks in a crossover design study. Both diets were formulated to differ only in protein source, thus providing equivalent amounts of dietary fibers and monounsaturated, polyunsaturated (including n-3), and saturated fatty acids (1.1:1.8:1.0). Beta-cell function, estimated by oral glucose tolerance test-derived parameters, was also assessed. RESULTS: There was a significant improvement in insulin sensitivity (P = 0.027) and a strong tendency for a better disposition index (beta-cell function x M/I) (P = 0.055) in subjects consuming the cod protein diet compared with those consuming the BPVEM diet. When median baseline M/I (4.8 x 10(-3) mg x kg(-1) x min(-1) x pmol(-1)) was taken into account, an interaction on the 30-min C-peptide-to-30-min glucose ratio, used as an index of beta-cell function, was observed between diet and M/I status (P = 0.022). Indeed, this ratio strongly tended to increase in subjects with low M/I consuming the cod protein diet compared with those consuming the BPVEM diet (P = 0.065). CONCLUSIONS: Dietary cod protein improves insulin sensitivity in insulin-resistant individuals and thus could contribute to prevention of type 2 diabetes by reducing the metabolic complications related to insulin resistance. [ABSTRACT FROM AUTHOR]
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- 2007
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16. Exercise and newer insulins: how much glucose supplement to avoid hypoglycemia?
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Dubé M, Weisnagel SJ, Prud'Homme D, and Lavoie C
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PURPOSE: To determine the glucose supplement required to prevent hypoglycemia during moderate-intensity exercise in Type 1 diabetic patients using newer analog insulins. METHODS: Nine subjects performed 60 min of ergocycle exercise (50% VO2max), 3 h after a standard breakfast in three different conditions. Subjects were randomly assigned to preexercise liquid glucose supplement of 0 g of glucose (0G), 15 g of glucose (15G), and 30 g of glucose (30G). Blood glucose (BG) was measured before, during, and following the exercise. All subjects used Humulin N (N) and analog insulin Humalog (Lispro). A dextrose infusion was initiated when BG fell below 5 mmol x L(-1). RESULTS: There was no significant difference in the magnitude of the decrease in BG exercise-induced when comparing the three experimental conditions. However, the quantity of dextrose infused was significantly higher in the 0G (10.5 +/- 3.2 g) than in the 15G (3.5 +/- 1.8 g) or the 30G conditions (1.6 +/- 1.0 g). The addition of a glucose supplement (15G or 30G) significantly prolonged the delay before the need for dextrose infusion (31.7 +/- 7.5, 51.3 +/- 4.2, and 55.6 +/- 2.6 min; 0G, 15G, and 30G, respectively). The quantity of dextrose infusion was plotted against the three preexercise glucose supplements and a regression equation obtained. Solving this equation, a glucose supplement of 40 g was estimated in order to maintain BG levels within the normal range during and after exercise. CONCLUSION: For 60 min of late postprandial exercise followed by 60 min of recovery, an estimated 40 g of a liquid glucose supplement, ingested 15 min prior exercise, would seem likely to help maintain safe BG levels in subjects using N-Lispro. [ABSTRACT FROM AUTHOR]
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- 2005
17. Energy expenditure from physical activity and the metabolic risk profile at menopause.
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Major GC, Piché M, Bergeron J, Weisnagel SJ, Nadeau A, and Lemieux S
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- 2005
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18. Effects of exercise training on glucose homeostasis: the HERITAGE Family Study.
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Boulé NG, Weisnagel SJ, Lakka TA, Tremblay A, Bergman RN, Rankinen T, Leon AS, Skinner JS, Wilmore JH, Rao DC, Bouchard C, Boulé, Normand G, Weisnagel, S John, Lakka, Timo A, Tremblay, Angelo, Bergman, Richard N, Rankinen, Tuomo, Leon, Arthur S, Skinner, James S, and Wilmore, Jack H
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Objective: To determine the effect of a 20-week endurance training program in healthy, previously sedentary participants on measures derived from an intravenous glucose tolerance test (i.v.GTT).Research Design and Methods: An i.v.GTT was performed before and after a standardized training program in 316 women and 280 men (173 blacks and 423 whites). Participants exercised on cycle ergometers 3 days per week for 60 sessions. The exercise intensity was progressively increased from 55% VO2max for 30 min per session to 75% VO2max for 50 min per session.Results: Mean insulin sensitivity increased by 10% (P < 0.001) following the intervention, but the variability in the changes was high. Men had larger improvements than women (P = 0.02). Improvements in fasting insulin were transitory, disappearing 72 h after the last bout of exercise. There were also significant mean increases in the glucose disappearance index (3%, P = 0.02) and in glucose effectiveness (11%, P < 0.001), measures of glucose tolerance and of the capacity of glucose to mediate its own disposal, respectively. The acute insulin response to glucose, a measure of insulin secretion, increased by 7% in the quartile with the lowest baseline glucose tolerance and decreased by 14% in the quartile with the highest baseline glucose tolerance (P < 0.001). The glucose area below fasting levels during the i.v.GTT was reduced by 7% (P = 0.02).Conclusions: Although the effects of structured regular exercise were highly variable, there were improvements in virtually all i.v.GTT-derived variables. In the absence of substantial weight loss, regular exercise is required for sustained improvements in glucose homeostasis. [ABSTRACT FROM AUTHOR]- Published
- 2005
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19. Translational approach to establish the cardiometabolic health effects and mechanisms of action of fish nutrients-it takes a village.
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Mitchell PL, Pilon G, Bazinet L, Gagnon C, Weisnagel SJ, Jacques H, Vohl MC, and Marette A
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- Animals, Humans, Canada, Fish Proteins administration & dosage, Salmon, Translational Research, Biomedical, Vitamin D pharmacology, Cardiovascular Diseases prevention & control, Dietary Supplements, Metabolic Diseases prevention & control
- Abstract
People use dietary supplements to offset nutritional deficiencies and manage metabolic dysfunction. While the beneficial effect of fish proteins on glucose homeostasis is well established, the ability of fish peptides to replicate the protein findings is less clear. With financial support from a programmatic Canadian Institutes of Health Research (CIHR) Team grant, we aimed to identify salmon peptide fractions (SPFs) with the potential to mitigate metabolic dysfunction. Additionally, the grant aims included assessing whether vitamin D, a nutrient commonly found in salmon, could potentiate the beneficial effects of salmon peptides. In parallel, technologies were developed to separate and filter the isolated peptides. We employed an integrative approach that combined nutritional interventions in animal models and human subjects to identify metabolic pathways regulated by salmon peptides and other fish nutrients. This combination of interdisciplinary expertise revealed that a SPF could be a therapeutic tool used in the prevention and management of cardiometabolic diseases. Herein, we present a perspective of our CIHR funded grant that utilized a translational approach to establish the cardiometabolic health effects and mechanisms of action of fish nutrients: from animal models to clinical trials., Competing Interests: AM and LB hold patent WO 2021/108916 A1 Peptides for regulating glucose. PLM, GP, M-CV, HJ, CG and JSW declare no conflict of interest.
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- 2024
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20. GLP-1 response during pregnancy: variations between trimesters and associations with appetite sensations and usual energy intake.
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Mangliar I, Plante AS, Chabot M, Savard C, Lemieux S, Michaud A, Weisnagel SJ, Camirand Lemyre F, Veilleux A, and Morisset AS
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- Pregnancy, Female, Humans, Energy Intake physiology, Hunger physiology, Sensation, Postprandial Period physiology, Cross-Over Studies, Appetite physiology, Glucagon-Like Peptide 1
- Abstract
Further research is required to understand hormonal regulation of food intake during pregnancy and its association with energy intake. The objectives are to ( i ) compare postprandial responses of plasma glucagon-like peptide-1 (GLP-1) between trimesters, ( ii ) compare postprandial appetite sensations between trimesters, and ( iii ) examine trimester-specific associations between GLP-1 levels, appetite sensations, and usual energy intake. At each trimester, participants ( n = 26) consumed a standard test meal following a 12 h fast. Plasma GLP-1 levels were measured by enzyme-linked immunosorbent assay method at fasting and at 30, 60, 120, and 180 min postprandial. A visual analogue scale assessing appetite sensations was completed at fasting and at 15, 30, 45, 60, 90, 120, 150, and 180 min postprandial. Mean energy intake was assessed using three web-based 24 h dietary recalls at each trimester. Lower postprandial GLP-1 responses were observed in the 2nd ( p = 0.004) and 3rd trimesters ( p < 0.001) compared to the 1st trimester. Greater postprandial sensations of desire to eat, hunger, and prospective food consumption were noted in the 3rd trimester compared to the 1st trimester ( p < 0.04, for all). Fasting GLP-1 was negatively associated with fasting appetite sensations (except fullness) at the 2nd trimester ( p < 0.02, for all). Postprandially, significant associations were observed for incremental areas under the curve from 0 to 30 min between GLP-1 and fullness at the 2nd ( p = 0.01) and 3rd trimesters ( p = 0.03). No associations between fasting or postprandial GLP-1 and usual energy intake were observed. Overall, GLP-1 and appetite sensation responses significantly differ between trimesters, but few associations were observed between GLP-1, appetite sensations, and usual energy intake., Competing Interests: Authors declare no conflict of interest.
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- 2024
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21. Promoting healthy eating in early pregnancy in individuals at risk of gestational diabetes mellitus: does it improve glucose homeostasis? A study protocol for a randomized control trial.
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Bernier E, Plante AS, Lemieux P, Robitaille J, Lemieux S, Desroches S, Bélanger-Gravel A, Maheux-Lacroix S, Weisnagel SJ, Demers S, Camirand Lemyre F, Boulet M, Baillargeon JP, and Morisset AS
- Abstract
Background: Healthy eating during pregnancy has favorable effects on glycemic control and is associated with a lower risk of gestational diabetes mellitus (GDM). According to Diabetes Canada, there is a need for an effective and acceptable intervention that could improve glucose homeostasis and support pregnant individuals at risk for GDM., Aims: This unicentric randomized controlled trial (RCT) aims to evaluate the effects of a nutritional intervention initiated early in pregnancy, on glucose homeostasis in 150 pregnant individuals at risk for GDM, compared to usual care., Methods: Population: 150 pregnant individuals ≥18 years old, at ≤14 weeks of pregnancy, and presenting ≥1 risk factor for GDM according to Diabetes Canada guidelines. Intervention: The nutritional intervention initiated in the first trimester is based on the health behavior change theory during pregnancy and on Canada's Food Guide recommendations. It includes (1) four individual counseling sessions with a registered dietitian using motivational interviewing (12, 18, 24, and 30 weeks), with post-interview phone call follow-ups, aiming to develop and achieve S.M.A.R.T. nutritional objectives (specific, measurable, attainable, relevant, and time-bound); (2) 10 informative video clips on healthy eating during pregnancy developed by our team and based on national guidelines, and (3) a virtual support community via a Facebook group. Control: Usual prenatal care. Protocol: This RCT includes three on-site visits (10-14, 24-26, and 34-36 weeks) during which a 2-h oral glucose tolerance test is done and blood samples are taken. At each trimester and 3 months postpartum, participants complete web-based questionnaires, including three validated 24-h dietary recalls to assess their diet quality using the Healthy Eating Food Index 2019. Primary outcome: Difference in the change in fasting blood glucose (from the first to the third trimester) between groups. This study has been approved by the Ethics Committee of the Centre de recherche du CHU de Québec-Université Laval., Discussion: This RCT will determine whether a nutritional intervention initiated early in pregnancy can improve glucose homeostasis in individuals at risk for GDM and inform Canadian stakeholders on improving care trajectories and policies for pregnant individuals at risk for GDM., Clinical Trial Registration: https://clinicaltrials.gov/study/NCT05299502, NCT05299502., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Bernier, Plante, Lemieux, Robitaille, Lemieux, Desroches, Bélanger-Gravel, Maheux-Lacroix, Weisnagel, Demers, Camirand Lemyre, Boulet, Baillargeon and Morisset.)
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- 2024
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22. Advanced glycation end products are not associated with bone mineral density, trabecular bone score, and bone turnover markers in adults with and without type 1 diabetes: a cross-sectional study.
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Coll JC, Turcotte AF, Leslie WD, Michou L, Weisnagel SJ, Mac-Way F, Albert C, Berger C, Morin SN, Rabasa-Lhoret R, and Gagnon C
- Abstract
It is unclear if AGEs are involved in the bone fragility of type 1 diabetes (T1D). We evaluated whether skin AGEs by skin autofluorescence and serum AGEs (pentosidine, carboxymethyl-lysine [CML]) are independently associated with BMD by DXA (lumbar spine, hip, distal radius), trabecular bone score (TBS), serum bone turnover markers (BTMs: CTX; P1NP; osteocalcin), and sclerostin in participants with and without T1D. Linear regression models were used, with interaction terms to test effect modification by T1D status. In participants with T1D, correlations between skin and serum AGEs as well as between AGEs and 3-year HbA
1C were evaluated using Spearman's correlations. Data are mean ± SD or median (interquartile range). We included individuals who participated in a cross-sectional study and had BMD and TBS assessment (106 T1D/65 controls, 53.2% women, age 43 ± 15 yr, BMI 26.6 ± 5.5 kg/m2 ). Participants with T1D had diabetes for 27.6 ± 12.3 yr, a mean 3-yr HbA1C of 7.5 ± 0.9% and skin AGEs of 2.15 ± 0.54 arbitrary units. A subgroup of 65 T1D/57 controls had BTMs and sclerostin measurements, and those with T1D also had serum pentosidine (16.8[8.2-32.0] ng/mL) and CML [48.0 ± 16.8] ng/mL) measured. Femoral neck BMD, TBS, and BTMs were lower, while sclerostin levels were similar in participants with T1D vs controls. T1D status did not modify the associations between AGEs and bone outcomes. Skin AGEs were significantly associated with total hip and femoral neck BMD, TBS, BTMs, and sclerostin before, but not after, adjustment for confounders. Serum AGEs were not associated with any bone outcome. There were no significant correlations between skin and serum AGEs or between AGEs and 3-yr HbA1C . In conclusion, skin and serum AGEs are not independently associated with BMD, TBS, BTMs, and sclerostin in participants with relatively well-controlled T1D and participants without diabetes., Competing Interests: F.M.-W. holds research grants from Amgen and is on GlaxoSmithKline and Otsuka advisory boards. The other authors have nothing to disclose., (© The Author(s) 2024. Published by Oxford University Press on behalf of the American Society for Bone and Mineral Research.)- Published
- 2024
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23. First-trimester diet quality in association with maternal subcutaneous and visceral adipose tissue thicknesses and glucose homeostasis during pregnancy.
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Bernier E, Plante AS, Robitaille J, Lemieux S, Girard M, Bujold E, Gagnon C, Weisnagel SJ, Tchernof A, and Morisset AS
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- Pregnancy, Female, Humans, Pregnancy Trimester, First, Intra-Abdominal Fat metabolism, Diet, Obesity, Homeostasis, Glucose, Blood Glucose metabolism, Body Mass Index, Insulin, Insulin Resistance, Insulins
- Abstract
We aimed to characterise the associations between first-trimester diet quality, adiposity, and glucose homeostasis measurements throughout pregnancy in a sample of 104 healthy pregnant women. Three Web-based 24-h recalls were completed, from which the Alternate Healthy Eating Index (AHEI) was calculated. At each trimester (12.5 ± 0.7, 22.8 ± 1.0, and 33.6 ± 1.3 weeks of gestation), fasting glucose and insulin were measured to compute an insulin resistance index (HOMA-IR). Subcutaneous and visceral adipose tissue thicknesses were estimated by ultrasound at the end of the first trimester. Inverse associations were observed between the first-trimester AHEI and first-trimester fasting insulin ( r = 0.24; p < 0.05), and HOMA-IR ( r = -0.22; p < 0.05), as well as third-trimester fasting insulin ( r = -0.20; p < 0.05). A trend was also observed between first-trimester AHEI and first-trimester SAT thickness ( r = -0.17; p < 0.1). Pre- and early-pregnancy adiposity measurements were identified as high predictors fasting insulin concentrations throughout pregnancy. Higher early-pregnancy diet quality is associated with more favourable metabolic measurements during pregnancy.
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- 2023
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24. Trimester-Specific Serum Fructosamine in Association with Abdominal Adiposity, Insulin Resistance, and Inflammation in Healthy Pregnant Individuals.
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Bernier E, Lachance A, Plante AS, Lemieux P, Mourabit Amari K, Weisnagel SJ, Gagnon C, Michaud A, Tchernof A, and Morisset AS
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- Adiponectin, Adiposity, Adult, Blood Glucose metabolism, C-Reactive Protein metabolism, Female, Fructosamine, Humans, Inflammation, Insulin, Interleukin-6 metabolism, Leptin, Obesity, Obesity, Abdominal, Pregnancy, Insulin Resistance
- Abstract
This study aimed to (1) characterize the variations in serum fructosamine across trimesters and according to pre-pregnancy BMI (ppBMI), and (2) examine associations between fructosamine and adiposity/metabolic markers (ppBMI, first-trimester adiposity, leptin, glucose homeostasis, and inflammation measurements) during pregnancy. Serum fructosamine, albumin, fasting glucose and insulin, leptin, adiponectin, interleukin-6 (IL-6), and C-reactive protein (CRP) concentrations were measured at each trimester. In the first trimester, subcutaneous (SAT) and visceral (VAT) adipose tissue thicknesses were estimated by ultrasound. In the 101 healthy pregnant individuals included (age: 32.2 ± 3.5 y.o.; ppBMI: 25.5 ± 5.5 kg/m2), fructosamine concentrations decreased during pregnancy whereas albumin-corrected fructosamine concentrations increased (p < 0.0001 for both). Notably, fructosamine concentrations were inversely associated with ppBMI, first-trimester SAT, VAT, and leptin (r = −0.55, r = −0.61, r = −0.48, r = −0.47, respectively; p < 0.0001 for all), first-trimester fasting insulin and HOMA-IR (r = −0.46, r = −0.46; p < 0.0001 for both), and first-trimester IL-6 (r = −0.38, p < 0.01). However, once corrected for albumin, most of the correlations lost strength. Once adjusted for ppBMI, fructosamine concentrations were positively associated with third-trimester fasting glucose and CRP (r = 0.24, r = 0.27; p < 0.05 for both). In conclusion, serum fructosamine is inversely associated with adiposity before and during pregnancy, with markers of glucose homeostasis and inflammation, but the latter associations are partially influenced by albumin concentrations and ppBMI.
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- 2022
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25. Dietary intakes in pregnant women with previous bariatric surgery.
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Gagnon G, Carreau AM, Plante AS, Savard C, Lemieux S, Weisnagel SJ, Gagnon C, Veillette J, Michaud A, Marceau S, Biertho L, Tchernof A, and Morisset AS
- Subjects
- Canada, Diet, Eating, Female, Humans, Pregnancy, Energy Intake, Pregnant Women
- Abstract
Purpose: To (1) assess dietary intakes of pregnant women with previous bariatric surgery in comparison with Dietary Reference Intakes (DRIs); (2) compare their dietary intakes as well as their diet quality with a control group of pregnant women with no history of bariatric surgery., Methods: Twenty-eight (28) pregnant women with previous surgery (sleeve gastrectomy, n = 7 and biliopancreatic diversion with duodenal switch, n = 21) were matched for pre-pregnancy body mass index with 28 pregnant women with no history of bariatric surgery. In at least one trimester, participants completed a minimum of 2 Web-based 24-h dietary recalls from which energy, macro- and micronutrient intakes as well as the Canadian Healthy Eating Index (C-HEI) were derived., Results: No differences were observed for energy intake between groups. All women had protein intakes within the recommended range, but most women with previous surgery had carbohydrate (67%) and dietary fiber intakes (98%) below recommendations. In both groups, mean total fat, saturated fatty acids, free sugars and sodium intakes were above recommendations, as opposed to mean vitamin D, folic acid and iron dietary intakes below recommendations for most women. Compared with the control group, pregnant women with previous bariatric surgery had lower overall C-HEI scores., Conclusion: These results suggest that pregnant women with previous bariatric surgery would benefit from a nutritional follow-up throughout their pregnancy., Level of Evidence: III: Evidence obtained from well-designed cohort or case-control analytic studies., (© 2021. The Author(s), under exclusive licence to Springer Nature Switzerland AG.)
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- 2022
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26. Determinants of Healthy Diet Among Children Exposed and Unexposed to Gestational Diabetes.
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Dugas C, Brassard D, Bélanger M, Perron J, Weisnagel SJ, Marc I, and Robitaille J
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- Canada, Child, Cross-Sectional Studies, Diet, Female, Humans, Pregnancy, Vegetables, Diabetes, Gestational, Diet, Healthy
- Abstract
Objectives: To evaluate the association between individual and environmental determinants of diet quality with diet quality of children exposed to gestational diabetes mellitus (GDM+) and unexposed (GDM-); to study the association between mother and child vegetables and fruit (VF) intakes., Design: Cross-sectional study., Participants: One hundred forty-two children (104 GDM+; 38 GDM-) aged 6.2 ± 2.5 years., Variables: Canadian Healthy Eating Index 2007 (HEI-C) and VF were obtained with 2 24-hour dietary recall questionnaires in children. Maternal VF was obtained by a validated food frequency questionnaire, and weight and height were measured. Sociodemographic determinants were obtained by questionnaires., Analysis: Linear regression models were used to evaluate the association between individual and environmental determinants and the HEI-C score with interaction for GDM status., Results: Family meals were associated with HEI-C among GDM- but not GDM+ children (β = 9.97, P = 0.01 and β = -0.41, P = 0.84, respectively; P for interaction = 0.02). Children's age (β = -1.45; 95% confidence interval, -2.19 to -0.72; P < 0.001) was a determinant of HEI-C among all children. Maternal VF intakes were positively associated with children's VF intake (r = 0.30, P < 0.001, r
2 = 0.09), with association of larger variance among GDM- children (r = 0.38, r2 = 0.14, P = 0.02) than GDM+ children (r = 0.23, r2 = 0.05, P = 0.02)., Conclusions: The food environment at home was associated differently with the diet quality of GDM+ and GDM- children. Whether targeting family meals and maternal diet quality is a good strategy to improve children's diet quality among GDM+ children needs to be further investigated., (Copyright © 2021 Society for Nutrition Education and Behavior. Published by Elsevier Inc. All rights reserved.)- Published
- 2022
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27. Prevalence of Vertebral Fractures in Adults With Type 1 Diabetes: DenSiFy Study (Diabetes Spine Fractures).
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Coll JC, Garceau É, Leslie WD, Genest M, Michou L, Weisnagel SJ, Mac-Way F, Albert C, Morin SN, Rabasa-Lhoret R, and Gagnon C
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- Absorptiometry, Photon methods, Adolescent, Adult, Bone Density, Cross-Sectional Studies, Female, Humans, Male, Middle Aged, Prevalence, Diabetes Mellitus, Type 1 complications, Diabetes Mellitus, Type 1 epidemiology, Osteoporotic Fractures epidemiology, Spinal Fractures diagnostic imaging, Spinal Fractures epidemiology, Spinal Fractures etiology
- Abstract
Context: Vertebral fracture (VF) prevalence up to 24% has been reported among young people with type 1 diabetes (T1D). If this high prevalence is confirmed, individuals with T1D could benefit from preventative VF screening., Objective: We compared the prevalence of VFs between adults with T1D and nondiabetic controls., Methods: This cross-sectional study included 127 adults with T1D, and 65 controls with a similar age, sex, and BMI distribution, from outpatient clinics of 2 tertiary care centers. Vertebral fracture assessment (VFA) by dual-energy x-ray absorptiometry (DXA) was used for prevalent VFs. The modified algorithm-based qualitative (mABQ) method was applied. Bone mineral density (BMD) and trabecular bone score (TBS) were assessed by DXA. Serum bone turnover markers and sclerostin were measured in a subgroup of participants., Results: Participants with T1D (70 women, 57 men) had a mean age of 42.8 ± 14.8 years, median diabetes duration of 25.8 (15.8-34.4) years, mean BMI of 26.6 ± 5.4 kg/m2 and mean HbA1c over the past 3 years of 7.5 ± 0.9%. Controls (35 women, 30 men) had mean age of 42.2 ± 15.9 years and mean BMI of 26.1 ± 5.1 kg/m2. VF prevalence was comparable between groups (2.4% vs 3.1%, P = 0.99). TBS, BMD at the total hip and femoral neck, and bone formation and resorption markers were lower while sclerostin levels were similar in participants with T1D vs controls., Conclusion: Our VFA results using the mABQ method do not confirm increased prevalence of VFs in men and women with relatively well-controlled T1D., (© The Author(s) 2022. Published by Oxford University Press on behalf of the Endocrine Society. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)
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- 2022
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28. Marginal Impact of Brown Seaweed Ascophyllum nodosum and Fucus vesiculosus Extract on Metabolic and Inflammatory Response in Overweight and Obese Prediabetic Subjects.
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Vodouhè M, Marois J, Guay V, Leblanc N, Weisnagel SJ, Bilodeau JF, and Jacques H
- Subjects
- Adolescent, Adult, Aged, Blood Glucose drug effects, C-Peptide blood, Diet, Fat-Restricted, Double-Blind Method, Female, Humans, Insulin blood, Interleukin-6 blood, Lipids blood, Male, Middle Aged, Overweight blood, Prediabetic State blood, Treatment Outcome, Weight Loss drug effects, Young Adult, Anti-Inflammatory Agents therapeutic use, Ascophyllum chemistry, Complex Mixtures therapeutic use, Fucus chemistry, Overweight drug therapy, Polyphenols therapeutic use, Prediabetic State drug therapy, Seaweed chemistry
- Abstract
The objective of the present study was to test whether a brown seaweed extract rich in polyphenols combined with a low-calorie diet would induce additional weight loss and improve blood glucose homeostasis in association with a metabolic and inflammatory response in overweight/obese prediabetic subjects. Fifty-six overweight/obese, dysglycemic, and insulin-resistant men and women completed a randomized, placebo-controlled, double-blind, and parallel clinical trial. Subjects were administrated 500 mg/d of either brown seaweed extract or placebo combined with individualized nutritional advice for moderate weight loss over a period of 12 weeks. Glycemic, anthropometric, blood pressure, heart rate, body composition, lipid profile, gut integrity, and oxidative and inflammatory markers were measured before and at the end of the trial. No effect was observed on blood glucose. We observed significant but small decreases in plasma C-peptide at 120 min during 2 h-OGTT (3218 ± 181 at pre-intervention vs. 2865 ± 186 pmol/L at post-intervention in the brown seaweed group; 3004 ± 199 at pre-intervention vs. 2954 ± 179 pmol/L at post-intervention in the placebo group; changes between the two groups, p = 0.002), heart rate (72 ± 10 at pre-intervention vs. 69 ± 9 ( n /min) at post-intervention in the brown seaweed group; 68 ± 9 at pre-intervention vs. 68 ± 8 ( n /min) at post-intervention in the placebo group; changes between the two groups, p = 0.01), and an inhibition in the increase of pro-inflammatory interleukin-6 (IL-6) (1.3 ± 0.7 at pre-intervention vs. 1.5 ± 0.7 pg/L at post-intervention in the brown seaweed group; 1.4 ± 1.1 at pre-intervention vs. 2.2 ± 1.6 pg/L at post-intervention in the placebo group; changes between the two groups, p = 0.02) following brown seaweed consumption compared with placebo in the context of moderate weight loss. Although consumption of brown seaweed extract had no effect on body weight or blood glucose, an early attenuation of the inflammatory response was observed in association with marginal changes in metabolic parameters related to the prevention of diabetes type 2.
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- 2022
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29. Genomics and transcriptomics landscapes associated to changes in insulin sensitivity in response to endurance exercise training.
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Takeshita LY, Davidsen PK, Herbert JM, Antczak P, Hesselink MKC, Schrauwen P, Weisnagel SJ, Robbins JM, Gerszten RE, Ghosh S, Sarzynski MA, Bouchard C, and Falciani F
- Subjects
- Adult, Calcium Signaling genetics, Chemokines metabolism, Female, Genetic Variation, Healthy Volunteers, Humans, MEF2 Transcription Factors genetics, Male, Middle Aged, Transcriptome, Young Adult, Endurance Training, Genome-Wide Association Study, Insulin Resistance genetics, Physical Endurance genetics, Physical Endurance physiology
- Abstract
Despite good adherence to supervised endurance exercise training (EET), some individuals experience no or little improvement in peripheral insulin sensitivity. The genetic and molecular mechanisms underlying this phenomenon are currently not understood. By investigating genome-wide variants associated with baseline and exercise-induced changes (∆) in insulin sensitivity index (S
i ) in healthy volunteers, we have identified novel candidate genes whose mouse knockouts phenotypes were consistent with a causative effect on Si . An integrative analysis of functional genomic and transcriptomic profiles suggests genetic variants have an aggregate effect on baseline Si and ∆Si , focused around cholinergic signalling, including downstream calcium and chemokine signalling. The identification of calcium regulated MEF2A transcription factor as the most statistically significant candidate driving the transcriptional signature associated to ∆Si further strengthens the relevance of calcium signalling in EET mediated Si response., (© 2021. The Author(s).)- Published
- 2021
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30. Breastfeeding and growth trajectory from birth to 5 years among children exposed and unexposed to gestational diabetes mellitus in utero.
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Dugas C, Kearney M, Perron J, Weisnagel SJ, Marc I, and Robitaille J
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- Birth Weight, Body Mass Index, Breast Feeding, Child, Female, Humans, Infant, Linear Models, Pregnancy, Retrospective Studies, Diabetes, Gestational epidemiology
- Abstract
Objectives: This study aims to evaluate the association between exposure to gestational diabetes mellitus and growth trajectory from birth to 5 years and to test whether breastfeeding influences this association among children exposed and unexposed to gestational diabetes., Study Design: Weight at 0, 6, 12, and 18 months and 2, 3, 4, and 5 years were retrospectively collected for 103 children exposed and 63 children unexposed to gestational diabetes. Weight-for-age z-score was calculated. Mixed linear model for repeated measurements were computed to test whether breastfeeding was associated differently with weight-for-age z-score of children exposed or unexposed to diabetes., Results: Children exposed to gestational diabetes had greater z-score values at 6 months and 4 and 5 years (p < 0.10). Breastfeeding duration was not associated with weight-for-age z-score trajectory in any children., Conclusion: Children exposed to gestational diabetes had a different growth trajectory in early life, but breastfeeding duration did not seem to influence this association.
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- 2021
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31. Trimester-Specific and Total Gestational Weight Gain in Two Consecutive Pregnancies.
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Lebrun A, Cloutier-Langevin C, Plante AS, Savard C, Weisnagel SJ, Robitaille J, Lemyre FC, and Morisset AS
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- Body Mass Index, Female, Humans, Infant, Pregnancy, Pregnant Women, Retrospective Studies, Weight Gain, Gestational Weight Gain, Pregnancy Trimesters
- Abstract
Objective: This retrospective study aimed to characterize trimester-specific and total gestational weight gain (GWG) over the course of two consecutive pregnancies, as well as maternal determinants associated with interpregnancy weight change (IPWC) and excessive GWG in the second pregnancy., Methods: We analyzed the electronic medical records of women who delivered their first two consecutive infants at term between 2001 and 2017., Results: Weight gain trajectories differed between the first and second pregnancy for the 1497 women included in this study, with lower second- and third-trimester weight gain in the second pregnancy. Respectively, 53% and 41% of women had excessive GWG in the first and second pregnancies, with a higher proportion of excessive GWG found in women with a higher body mass index (BMI). Most women (55%) experienced interpregnancy weight gain. Maternal determinants of IPWC were BMI before first pregnancy, first-trimester and total GWG in the first pregnancy, and interpregnancy interval (P < 0.0001). Maternal risk factors associated with excessive GWG in the second pregnancy were excessive total GWG in the first pregnancy (OR 6.23; 95% CI 4.67-8.32), interpregnancy weight gain (OR 1.58; 95% CI 1.19-2.09), and interpregnancy interval (OR 1.18; 95% CI 1.07-1.29) as well as BMI before the second pregnancy (OR 1.04, 95% CI 1.02-1.07)., Conclusion: Weight gain trajectories differ between consecutive pregnancies. GWG in the first pregnancy is a key determinant for IPWC and GWG in the second pregnancy., (Copyright © 2020 The Society of Obstetricians and Gynaecologists of Canada/La Société des obstétriciens et gynécologues du Canada. Published by Elsevier Inc. All rights reserved.)
- Published
- 2021
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32. Bile acids during pregnancy: Trimester variations and associations with glucose homeostasis.
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Gagnon M, Trottier J, Weisnagel SJ, Gagnon C, Carreau AM, Barbier O, and Morisset AS
- Abstract
Background and Aims: Bile acids are known to contribute to hepatic glucose and lipid metabolism regulation. Although glucose homeostasis sustains well-characterized modifications during uncomplicated pregnancies, changes in bile acids concentrations and relative proportions throughout pregnancy remain unknown. Furthermore, literature shows strong associations between bile acids profiles and glucose homeostasis under normal metabolic conditions. We seek, first, to characterize bile acids' metabolic changes across trimesters and, second, to evaluate associations between changes in bile acids and glucose homeostasis indexes in the first and second trimesters., Methods: A total of 78 women were recruited and followed at each trimester of pregnancy. Fasting serum samples were collected once per trimester in which quantitative measurement of 30 different bile acids' molecules were performed using liquid chromatography with tandem mass spectrometry (LC-MS/MS). Glucose homeostasis indexes were measured in the first and second trimesters, after a 12-hour fast and following a 75 g oral glucose tolerance test., Results: Total bile acids increased from the first trimester to late pregnancy, along with the cholic acid: chenodeoxycholic acid and conjugated: unconjugated bile acids ratios. Changes in bile acids were positively associated with elevated peripheral and hepatic insulin resistance indexes, as well as with trimestral changes in these indexes., Conclusion: Our findings suggest that modifications occurring in bile acids' profiles during normal pregnancy are associated with changes in glucose homeostasis. Further research is needed to examine the nature of those associations and the possible outcome of bile acids changes on pathological glucose homeostasis alterations during pregnancy., Competing Interests: The authors declare no conflict of interest., (© 2021 The Authors. Health Science Reports published by Wiley Periodicals LLC.)
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- 2021
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33. Dairy product intake modifies gut microbiota composition among hyperinsulinemic individuals.
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Khorraminezhad L, Leclercq M, O'Connor S, Julien P, Weisnagel SJ, Gagnon C, Droit A, and Rudkowska I
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- Adult, Cross-Over Studies, Dairy Products, Humans, RNA, Ribosomal, 16S genetics, Gastrointestinal Microbiome, Insulin Resistance
- Abstract
Purposes: The objectives of this study were to investigate differences in gut microbiota (GM) composition after high dairy intake (HD) compared to adequate dairy intake (AD) and to correlate GM composition variations with the change in glycemic parameters in hyperinsulinemic subjects., Methods: In this crossover study, 10 hyperinsulinemic adults were randomized to HD (≥ 4 servings/day) or AD (≤ 2 servings/day) for 6 weeks, separated by a 6-week washout period. Fasting insulin and glucose levels were measured after each intervention. Insulin resistance was calculated with the homeostasis model assessment of insulin resistance (HOMA-IR). GM was determined with 16S rRNA-based high-throughput sequencing at the end of each intervention. Paired t test, correlations and machine learning analyses were performed., Results: Endpoint glycemic parameters were not different between HD and AD intake. After HD compared with AD intake, there was a decrease in the abundance of bacteria in Roseburia and Verrucomicrobia (p = 0.04 and p = 0.02, respectively) and a trend for an increase abundance in Faecalibacteria and Flavonifractor (p = 0.05 and p = 0.06, respectively). The changes in abundance of Coriobacteriia, Erysipelotrichia, and Flavonifractor were negatively correlated with the change in HOMA-IR between the AD and HD phases. Furthermore, a predictive GM signature, including Anaerotruncus, Flavonifractor, Ruminococcaceae, and Subdoligranulum, was related to HOMA-IR., Conclusion: Overall, these results suggest that HD modifies the abundance of specific butyrate-producing bacteria in Firmicutes and of bacteria in Verrucomicrobia in hyperinsulinemic individuals. In addition, the butyrate producing bacteria in Firmicutes phylum correlate negatively with insulin resistance.
- Published
- 2021
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34. Effect of liraglutide on food consumption, appetite sensations and eating behaviours in overweight people with type 1 diabetes.
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Dubé MC, D'Amours M, and Weisnagel SJ
- Subjects
- Appetite, Cross-Over Studies, Eating, Energy Intake, Feeding Behavior, Humans, Overweight complications, Prospective Studies, Sensation, Diabetes Mellitus, Type 1 complications, Diabetes Mellitus, Type 1 drug therapy, Liraglutide therapeutic use
- Abstract
Aims: To investigate the effects of 24 weeks of treatment with liraglutide added to basal/bolus insulin on energy intake, appetite sensations and eating behaviours in overweight/obese participants with type 1 diabetes (T1D)., Methods: In a double-blinded crossover fashion, 15 participants were randomly assigned (1:1) to receive placebo or liraglutide for 24 weeks including a 1-month titration period from 0.6 to 1.2 to 1.8 mg, in addition to their insulin. The treatment was followed by a 1-month wash-out period. Participants were then assigned to the other treatment for another 24 weeks. Food intake was measured, visual analogue scales and Three-Factor Eating Questionnaires were completed. Paired rank tests were used to compare the variables., Results: When treated with liraglutide, participants modified their ad libitum food consumption with decreased total intake and % fat and increased carbohydrates. Their appetite sensations were modified: fasting desire to eat, hunger and prospective food consumption were significantly reduced. The sensation of fullness was prolonged for a few hours after a standardized breakfast. Restraint and disinhibition were significantly reduced by liraglutide., Conclusions: In this randomized clinical trial, the addition of liraglutide to basal/bolus insulin therapy for 24 weeks in overweight/obese individuals with T1D significantly improved their food consumption, appetite sensations and eating behaviours., (© 2020 John Wiley & Sons Ltd.)
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- 2020
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35. Impact of Switching from Twice-Daily Basal Insulin to Once-Daily Insulin Glargine 300 U/mL in People with Type 1 Diabetes on Basal-Bolus Insulin: Phase 4 OPTIMIZE Study.
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Mathieu C, Weisnagel SJ, Stella P, Bruhwyler J, and Alexandre K
- Abstract
Introduction: OPTIMIZE evaluated the efficacy, safety and treatment satisfaction of insulin glargine 300 U/mL once daily (Gla-300 OD) in people with type 1 diabetes mellitus (T1DM) previously uncontrolled on basal insulin twice daily (BID) as part of basal-bolus therapy., Methods: OPTIMIZE was a 28-week, prospective, interventional, single-arm phase 4 trial in adults with T1DM. At baseline, basal insulin BID treatment was switched to Gla-300 OD titrated to a fasting self-monitored blood glucose target of 4.4-7.2 mmol/L (80-130 mg/dL). The primary endpoint was the mean glycated haemoglobin (HbA
1c ) change from baseline to week 24. Secondary endpoints included self-monitored blood glucose, fasting-plasma glucose, hypoglycaemia and patient-reported outcomes including the Diabetes Treatment Satisfaction Questionnaire status version (DTSQs)., Results: Switching to Gla-300 OD significantly improved mean HbA1c (8.54% at baseline and 8.27% at week 24 [last observation carried forward, N = 94, p < 0.0001]; mean difference 0.27% [95% CI 0.15, 0.40]). There was a statistically significant decrease in fasting self-monitored blood glucose during the study (analysis of variance for repeated measures, p = 0.014; N = 72). Eight-point self-monitored blood glucose was significantly improved between baseline and week 24 for post-breakfast (p = 0.009), post-dinner (p = 0.009) and bedtime (p = 0.049) values. The study did not allow for any significant effects on confirmed and/or severe hypoglycaemia at the ≤ 3.9 mmol/L [≤ 70 mg/dL] or < 3.0 mmol/L [< 54 mg/dL] blood glucose cut-offs to be observed. Statistically significant improvements were observed in DTSQs total scores from baseline (24.1) to week 24 (29.4, p < 0.0001)., Conclusions: A basal-bolus regimen including Gla-300 OD was associated with improvements in HbA1c and treatment satisfaction in people with uncontrolled T1DM previously receiving basal-bolus insulin including a basal insulin BID analogue., Trial Registration: EudraCT number: 2015-001186-46.- Published
- 2020
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36. Changes in Eating Behaviours Throughout Pregnancy: Associations with Gestational Weight Gain and Pre-pregnancy Body Mass Index.
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Plante AS, Lemieux S, Drouin-Chartier JP, Weisnagel SJ, Robitaille J, Drapeau V, Provencher V, and Morisset AS
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- Adult, Body Mass Index, Female, Humans, Pregnancy, Pregnancy Trimesters, Surveys and Questionnaires, Young Adult, Feeding Behavior, Gestational Weight Gain
- Abstract
Objective: Most pregnant women gain weight above recommended levels, and this weight gain affects mothers' and children's health. Factors influencing gestational weight gain (GWG) are numerous and include eating behaviours. The objective of this study was to evaluate the association between eating behaviours and GWG while considering pre-pregnancy body mass index (BMI)., Methods: Fifty-three (n = 53) women were recruited at 9.4 ± 0.6 gestational weeks. At each trimester, they completed the Three-Factor Eating Questionnaire, which evaluates disinhibition, dietary restraint, and susceptibility to hunger. Using a weight gain curve, trimester-specific GWG was calculated with interpolated weights. Total GWG was calculated as the difference between maternal weight before delivery and self-reported pre-pregnancy weight (Canadian Task Force Classification II-2)., Results: Women were aged 31.5 ± 3.5, and 81.1% had a university degree. The proportion of women who gained weight within recommendations was 21%, 28%, and 26%, at each trimester, respectively, and 38% for total pregnancy. Overall, dietary restraint score was lower in the third trimester in comparison with the first (6.1 ± 4.1 vs. 7.2 ± 4.6; P = 0.049), whereas no difference was observed for disinhibition or susceptibility to hunger. Our data suggest that variations in eating behaviours throughout pregnancy were similar among women who exhibited total GWG below, within, or above recommendations (P
trim × GWG = NS) (NS: not significant; trim: trimester). Similar observations were reported when women were compared according to their pre-pregnancy BMI (Ptrim × BMI = NS)., Conclusion: Maintaining high levels of restraint may be challenging considering the increase in hunger, which could explain the decrease observed in dietary restraint scores. Changes in eating behaviours were not associated with total GWG or pre-pregnancy BMI., (Copyright © 2019 The Society of Obstetricians and Gynaecologists of Canada/La Société des obstétriciens et gynécologues du Canada. Published by Elsevier Inc. All rights reserved.)- Published
- 2020
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37. Increased Dairy Product Intake Alters Serum Metabolite Profiles in Subjects at Risk of Developing Type 2 Diabetes.
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O'Connor S, Greffard K, Leclercq M, Julien P, Weisnagel SJ, Gagnon C, Droit A, Bilodeau JF, and Rudkowska I
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- Adult, Aged, Amino Acids blood, Canada, Carbohydrates blood, Cross-Over Studies, Fatty Acids blood, Female, Humans, Male, Middle Aged, Biomarkers blood, Dairy Products, Diabetes Mellitus, Type 2 blood, Diet, Hyperinsulinism blood, Metabolome physiology
- Abstract
Scope: Metabolomics is increasingly used to identify biomarkers of diet or chronic diseases, such as type 2 diabetes. Yet, metabolite signatures following dairy intake in hyperinsulinemic subjects have not been identified. The objective is to evaluate the effects of a high dairy diet (HD) for 6 weeks (4 servings or more per day), compared with an adequate dairy diet (AD) (2 servings or less per day), on serum metabolite profiles in hyperinsulinemic adults., Methods and Results: In this crossover trial, subjects are randomized to HD or AD for 6 weeks. Serum metabolites are assessed using GC/MS. Twenty-six subjects completed the study. Levels of pentadecanoic acid, tyrosine and lathosterol are increased in HD, while 1,5-anhydrosorbitol, myo-inositol, 3-aminoisobutyric acid and beta-sitosterol are decreased (p < 0.05). Sorbitol levels are increased after AD, while hexanoic acid, lauric acid, l-kynurenine, methionine, and benzoic acid levels are reduced (p < 0.05). Histidine, caprylic acid, nonanoic acid, decanoic acid, lauric acid, heptadecanoic acid, and benzoic acid levels are increased in HD compared to AD, while malic acid levels are increased in AD compared with HD (p < 0.05)., Conclusion: Higher dairy products intake modifies metabolite profiles in hyperinsulinemic subjects., (© 2019 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.)
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- 2019
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38. Association between lifestyle habits and adiposity values among children exposed and unexposed to gestational diabetes mellitus in utero.
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Bélanger M, Dugas C, Perron J, Ruchat SM, Weisnagel SJ, Marc I, Tchernof A, and Robitaille J
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- Adolescent, Canada epidemiology, Case-Control Studies, Child, Child, Preschool, Feeding Behavior, Female, Follow-Up Studies, Humans, Infant, Male, Pediatric Obesity epidemiology, Pregnancy, Prevalence, Prognosis, Body Fat Distribution statistics & numerical data, Diabetes, Gestational physiopathology, Diet, Healthy, Exercise, Life Style, Pediatric Obesity prevention & control, Prenatal Exposure Delayed Effects epidemiology
- Abstract
Aims: The objectives of this study were to assess the profile of lifestyle habits among children exposed (GDM+) or unexposed (GDM-) to GDM and to assess whether a healthy lifestyle profile is associated with lower adiposity values among these children., Methods: A total of 105 GDM+ and 38 GDM- children aged 2-14 years were included. Vegetables and fruit intakes were collected using two 24-h dietary recalls. Physical activity and sedentary time were measured with accelerometers. Screen and sleep time were assessed using questionnaires. Weight, height and waist circumference were measured. Body composition was assessed by absorptiometry., Results: GDM+ children had lower moderate-to-vigorous physical activity practice (p = 0.043) and fruit intake (p = 0.020) than GDM- children. Among children with an unhealthy lifestyle (meeting 0-2 lifestyle recommendations), GDM+ children had greater percentage of fat mass (p = 0.021) and android fat mass (p = 0.020) than GDM- children. Moreover, among GDM+ children, children with a healthy lifestyle (meeting 3-4 lifestyle recommendations) tended to have lower percentage of fat mass (p = 0.053) and android fat mass (p = 0.071) than those with an unhealthy lifestyle., Conclusion: Improving lifestyle habits among GDM+ children could represent a promising approach to prevent deteriorated adiposity values., (Copyright © 2019 Diabetes India. Published by Elsevier Ltd. All rights reserved.)
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- 2019
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39. Effects of 6-month vitamin D supplementation on insulin sensitivity and secretion: a randomised, placebo-controlled trial.
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Lemieux P, Weisnagel SJ, Caron AZ, Julien AS, Morisset AS, Carreau AM, Poirier J, Tchernof A, Robitaille J, Bergeron J, Marette A, Vohl MC, and Gagnon C
- Subjects
- Aged, Diabetes Mellitus, Type 2 blood, Diabetes Mellitus, Type 2 diagnosis, Diabetes Mellitus, Type 2 drug therapy, Double-Blind Method, Drug Administration Schedule, Female, Glucose Tolerance Test methods, Humans, Male, Middle Aged, Prediabetic State blood, Prediabetic State diagnosis, Prediabetic State drug therapy, Treatment Outcome, Vitamin D blood, Vitamin D Deficiency diagnosis, Cholecalciferol administration & dosage, Dietary Supplements, Insulin Resistance physiology, Vitamin D analogs & derivatives, Vitamin D Deficiency blood, Vitamin D Deficiency drug therapy
- Abstract
Objective: To determine whether vitamin D3 supplementation improves insulin sensitivity, using the hyperinsulinemic-euglycemic clamp., Design: This single-centre, double-blind, placebo-controlled trial randomised 96 participants at high risk of diabetes or with newly diagnosed type 2 diabetes to vitamin D3 5000 IU daily or placebo for 6 months., Methods: We assessed at baseline and 6 months: (1) primary aim: peripheral insulin sensitivity (M-value using a 2-h hyperinsulinemic-euglycemic clamp); (2) secondary aims: other insulin sensitivity (HOMA2%S, Matsuda) and insulin secretion (insulinogenic index, C-peptide area under the curve, HOMA2-B) indices using a 2-h oral glucose tolerance test (OGTT); β-cell function (disposition index: M-value × insulinogenic index); fasting and 2-h glucose post OGTT; HbA1c; anthropometry., Results: Baseline characteristics were similar between groups (% or mean ± s.d.): women 38.5%; age 58.7 ± 9.4 years; BMI 32.2 ± 4.1 kg/m2; prediabetes 35.8%; diabetes 20.0%; 25-hydroxyvitamin D (25(OH)D) 51.1 ± 14.2 nmol/L. At 6 months, mean 25(OH)D reached 127.6 ± 26.3 nmol/L and 51.8 ± 16.5 nmol/L in the treatment and placebo groups, respectively (P < 0.001). A beneficial effect of vitamin D3 compared with placebo was observed on M-value (mean change (95% CI): 0.92 (0.24-1.59) vs -0.03 (-0.73 to 0.67); P = 0.009) and disposition index (mean change (95% CI): 267.0 (-343.4 to 877.4) vs -55.5 (-696.3 to 585.3); P = 0.039) after 6 months. No effect was seen on other outcomes., Conclusions: In individuals at high risk of diabetes or with newly diagnosed type 2 diabetes, vitamin D supplementation for 6 months significantly increased peripheral insulin sensitivity and β-cell function, suggesting that it may slow metabolic deterioration in this population.
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- 2019
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40. Impact of a High Intake of Dairy Product on Insulin Sensitivity in Hyperinsulinemic Adults: A Crossover Randomized Controlled Trial.
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O'Connor S, Julien P, Weisnagel SJ, Gagnon C, and Rudkowska I
- Abstract
Background: Dairy product intake has been associated with decreased risk of type 2 diabetes (T2D) in cohort studies. However, results from clinical trials on T2D-related risk factors remain inconclusive., Objective: The aim of this clinical trial was to evaluate the impact of high dairy product intake (HD) (≥4 servings/d) for 6 wk, compared with an adequate dairy product intake (AD) (≤2 servings/d), on glycemic and insulinemic parameters, insulin sensitivity, insulin secretion, and β-cell function in hyperinsulinemic adults., Methods: In this crossover clinical trial, hyperinsulinemic adults were randomly assigned to HD or AD for 6 wk, then crossed over after a 6-wk washout period. Serum glucose, insulin, C-peptide, HOMA-IR, Matsuda index, insulinogenic index, and disposition index were measured and analyzed using a repeated-measures mixed model adjusted for age, sex, and BMI. Anthropometric measures were collected and food intake was evaluated using a validated FFQ., Results: Nineteen men and 8 women completed the study (mean ± SD age: 55 ± 14 y; BMI: 31.3 ± 3.3 kg/m
2 . Dairy product intake was 5.8 servings/d in the HD condition and 2.3 servings/d in the AD condition after 6 wk. No difference was observed between HD and AD after 6 wk for all outcomes., Conclusions: HD does not affect glycemic and insulinemic parameters, insulin sensitivity, insulin secretion, and β-cell function over AD in hyperinsulinemic adults. Additional larger and longer studies assessing T2D-related risk factors are required. This trial was registered at clinicaltrials.gov as NCT02961179.- Published
- 2019
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41. Minimal effect of walking before dinner on glycemic responses in type 2 diabetes: outcomes from the multi-site E-PAraDiGM study.
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Rees JL, Chang CR, François ME, Marcotte-Chénard A, Fontvieille A, Klaprat ND, Dyck RA, Funk DR, Snydmiller G, Bastell K, Godkin FE, Dubé MC, Riesco E, McGavock JM, Yardley JE, Sigal RJ, Gibala MJ, Weisnagel SJ, Prado CM, Jung M, Manders R, Lee T, Singer J, Boulé NG, and Little JP
- Subjects
- Adult, Aged, Blood Glucose Self-Monitoring, Cross-Over Studies, Diabetes Mellitus, Type 2 diagnosis, Exercise physiology, Exercise Test, Female, Humans, Male, Middle Aged, Postprandial Period physiology, Time Factors, Blood Glucose metabolism, Diabetes Mellitus, Type 2 blood, Diabetes Mellitus, Type 2 therapy, Meals, Walking physiology
- Abstract
Aim: To examine the effect of walking before dinner on 24-h glycemic control in individuals with type 2 diabetes using the standardized multi-site Exercise-Physical Activity and Diabetes Glucose Monitoring (E-PAraDiGM) Protocol., Methods: Eighty participants were studied under two conditions (exercise vs. non-exercise control) separated by 72 h in a randomized crossover design. Each condition lasted 2 days during which standardized meals were provided. Exercise consisted of 50 min of treadmill walking at 5.0 km/h before the evening meal, while control involved 50 min of sitting. The primary outcome measure was mean glucose during the 24-h period following exercise (or sitting) measured by continuous glucose monitoring., Results: Of the 80 participants who were initially randomized, 73 completed both exercise and control. Sixty-three participants [29 males, 34 females; age = 64 ± 8 years, body mass index = 30.5 ± 6.5 kg/m
2 and HbA1c = 51 ± 8 mmol/mol (6.8 ± 0.7%), mean ± SD] complied with the standardized diets and had complete continuous glucose monitoring data. Exercise did not affect mean 24-h glucose compared to control (0.03 mmol/L; 95% CI - 0.17, 0.22, P = 0.778) but individual differences between conditions ranged from - 2.8 to +1.8 mmol/L. Exercise did not affect fasting glucose, postprandial glucose or glucose variability. Glucose concentrations measured by continuous glucose monitoring were reduced during the 50 min of walking in exercise compared to sitting in control (- 1.56 mmol/L; 95% CI - 2.18, - 0.95, p < 0.001)., Conclusion: Contrary to previous acute exercise studies, 50 min of walking before dinner in the E-PAraDiGM protocol did not affect 24-h glucose profiles. However, highly heterogeneous responses to exercise were observed., Trial Registration: NCT02834689.- Published
- 2019
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42. Is A Healthy Diet Associated with Lower Anthropometric and Glycemic Alterations in Predisposed Children Born from Mothers with Gestational Diabetes Mellitus?
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Dugas C, Bélanger M, Perron J, Weisnagel SJ, Tchernof A, Marc I, and Robitaille J
- Subjects
- Adolescent, Body Mass Index, Canada epidemiology, Child, Child, Preschool, Cohort Studies, Female, Humans, Male, Overweight epidemiology, Pregnancy, Prevalence, Diabetes, Gestational epidemiology, Diet, Healthy statistics & numerical data, Pediatric Obesity epidemiology
- Abstract
Children born from mothers with gestational diabetes mellitus (GDM) are at high-risk of obesity and type 2 diabetes. To date, there is a lack of effective strategies to prevent these complications. The aim of this study was to evaluate the association between diet quality and anthropometric and glycemic profiles of children exposed (GDM+) and unexposed (GDM⁻) to GDM. A total of 104 GDM+ and 38 GDM⁻ children were included. Two 24-h dietary recall questionnaires were used to assess dietary intakes. The Healthy Eating Index adapted for the Canadian population (HEI-C) was used to assess diet quality. Spearman correlations adjusted for children's age and sex were computed. Mean age was 6.0 ± 2.5 and 6.8 ± 2.3 years for GDM+ and GDM⁻, respectively ( p = 0.03). Total HEI-C score was negatively associated with the android-to-gynoid fat mass ratio ( r = -0.29, p = 0.03) and homeostasis model assessment for insulin resistance (HOMA-IR) index ( r = -0.22, p = 0.04) in GDM+ children only. The prevalence of being overweight or obese during childhood was 4-fold higher among GDM+ children with a HEI-C score ≤70 compared to GDM+ children with a HEI-C score >70. Results of this study show that a healthy diet is associated with a better cardiometabolic health profile in GDM+ children, including a lower risk of being overweight or obese.
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- 2019
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43. Associations between fruit and vegetables intake and abnormal glucose tolerance among women with prior gestational diabetes mellitus.
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Mercier R, Perron J, Weisnagel SJ, and Robitaille J
- Subjects
- Adult, Canada epidemiology, Cohort Studies, Cross-Sectional Studies, Female, Glucose Intolerance prevention & control, Humans, Pregnancy, Risk Factors, Diabetes, Gestational epidemiology, Diet methods, Fruit, Glucose Intolerance epidemiology, Vegetables
- Abstract
Purpose: Women with prior gestational diabetes mellitus (GDM) are at higher risk of type 2 diabetes (T2D). The aim of this study was to investigate the association between fruit and vegetables (FV) intake and abnormal glucose tolerance (AGT) among women with prior GDM., Methods: A total of 281 women with prior GDM have been recruited a mean of 6 years after their pregnancy in this cohort study. FV intake was obtained with a validated food frequency questionnaire (FFQ). Anthropometric and glycemic components were measured during their clinical visit and women were stratified according to normal glucose tolerance (NGT) or AGT., Results: A cross-sectional analysis showed that a total of 155 women had NGT and 126 AGT. Women with AGT had significantly lower FV (6.5 ± 0.2) and vegetables servings (3.9 ± 0.2) and tended to have lower fruit servings (2.6 ± 0.2) than women with NGT (7.4 ± 0.2, 4.5 ± 0.2 and 3.0 ± 0.1, respectively) (p = 0.001, p = 0.04 and p = 0.10, respectively, adjusted for age and BMI). FV intake, per one serving increase, was associated with a reduced likelihood of having AGT [OR = 0.88 (0.81-0.97) after adjustment for age and BMI]. Vegetables or fruit intake tended to be associated with a reduced likelihood of having AGT [OR = 0.88 (0.78-1.00) and OR = 0.88 (0.76-1.02), respectively, after adjustment for age and BMI]., Conclusions: Higher intake of FV may be associated with a lower likelihood of AGT among women with prior GDM. Further studies are needed to confirm these results in this high-risk population.
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- 2019
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44. Correction: Savard et al. Trimester-Specific Dietary Intakes in a Sample of French-Canadian Pregnant Women in Comparison with National Nutritional Guidelines. Nutrients 2018, 10 , 768.
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Savard C, Lemieux S, Weisnagel SJ, Fontaine-Bisson B, Gagnon C, Robitaille J, and Morisset AS
- Abstract
The authors wish to make the following changes to their paper (Savard et al., 2018 [1]) [...].
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- 2019
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45. Association between early introduction of fruit juice during infancy and childhood consumption of sweet-tasting foods and beverages among children exposed and unexposed to gestational diabetes mellitus in utero.
- Author
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Dugas C, Perron J, Marc I, Weisnagel SJ, and Robitaille J
- Subjects
- Adolescent, Child, Child, Preschool, Cohort Studies, Female, Humans, Infant, Male, Pregnancy, Prenatal Exposure Delayed Effects, Sugar-Sweetened Beverages, Time Factors, Diabetes, Gestational, Diet, Fruit and Vegetable Juices
- Abstract
Background: Children exposed to gestational diabetes mellitus (GDM) in utero are at high-risk of obesity. Given that nutritional habits can track from infancy to childhood, the aim of this study was to evaluate the association between the timing of fruit juice introduction in infancy and later consumption of sweet-tasting foods and beverages among children exposed (GDM+) and unexposed (GDM-) to GDM., Methods: A total of 107 GDM+ and 59 GDM- participated in the project. Data on the timing of fruit juice introduction during infancy were retrospectively collected for 62 GDM+ and 32 GDM- children. Current dietary intakes were collected with two 24-hour dietary recall questionnaires. Children were divided into groups according to the median timing of juice introduction (9 months)., Results: Mean age of children was 6.3 ± 2.6 and 7.6 ± 3.7 years for GDM+ and GDM- children, respectively (p = 0.08). Mean age of fruit juice introduction was similar between groups (p > 0.05). Consuming >1 serving of fruit juice per day was 2.72 times more prevalent among GDM+ children introduced to fruit juice <9 months, compared to GDM+ children introduced ≥9 months (CI: 1.19-6.20). This association was not observed in the GDM- group. The timing of fruit juice introduction was not associated with later consumption of sweets, desserts and sweet-tasting beverages when adjustment for children's age was made among GDM+ and GDM- children., Conclusion: Early introduction of fruit juice in infant diet is associated with higher prevalence of consumption of >1 serving of fruit juice per day in GDM+ children., (Copyright © 2018. Published by Elsevier Ltd.)
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- 2019
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46. Trimester-Specific Dietary Intakes in a Sample of French-Canadian Pregnant Women in Comparison with National Nutritional Guidelines.
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Savard C, Lemieux S, Weisnagel SJ, Fontaine-Bisson B, Gagnon C, Robitaille J, and Morisset AS
- Subjects
- Adult, Dietary Fats administration & dosage, Dietary Proteins administration & dosage, Energy Intake, Female, Folic Acid administration & dosage, Folic Acid adverse effects, Humans, Nutrition Assessment, Nutrition Surveys, Pregnancy, Prospective Studies, Quebec epidemiology, Risk Factors, Vitamin D administration & dosage, Vitamin D Deficiency epidemiology, Vitamin D Deficiency prevention & control, Diet adverse effects, Dietary Supplements adverse effects, Maternal Nutritional Physiological Phenomena, Nutritional Status, Pregnancy Trimesters, Recommended Dietary Allowances
- Abstract
Diet during pregnancy greatly impacts health outcomes. This study aims to measure changes in dietary intakes throughout trimesters and to assess pregnant women’s dietary intakes in comparison with current Canadian nutritional recommendations. Seventy-nine pregnant women were recruited and completed, within each trimester, three Web-based 24-h dietary recalls and one Web questionnaire on supplement use. Dietary intakes from food, with and without supplements, were compared to nutritional recommendations throughout pregnancy. Energy and macronutrient intakes remained stable throughout pregnancy. A majority of women exceeded their energy and protein requirements in the first trimester, and fat intakes as a percentage of energy intakes were above recommendations for more than half of the women in all trimesters. Supplement use increased dietary intakes of most vitamins and minerals, but 20% of women still had inadequate total vitamin D intakes and most women had excessive folic acid intakes. This study showed that pregnant women did not increase their energy intakes throughout pregnancy as recommended. Furthermore, although prenatal supplementation reduces the risk of inadequate intake for most micronutrients, there is still a risk of excessive folic acid and insufficient vitamin D intake, which needs further investigation.
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- 2018
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47. Increased body fat mass explains the positive association between circulating estradiol and insulin resistance in postmenopausal women.
- Author
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Marchand GB, Carreau AM, Weisnagel SJ, Bergeron J, Labrie F, Lemieux S, and Tchernof A
- Subjects
- Adipose Tissue pathology, Aged, Body Composition physiology, Cross-Sectional Studies, Female, Glucose Clamp Technique, Glucose Tolerance Test, Humans, Middle Aged, Obesity blood, Obesity metabolism, Organ Size, Adipose Tissue metabolism, Adiposity physiology, Estradiol blood, Insulin Resistance physiology, Postmenopause metabolism
- Abstract
The relationship between circulating estrogen levels and cardiometabolic risk factors such as insulin resistance is unclear in postmenopausal women. High estradiol (E
2 ) levels have been reported to predict increased risk of type 2 diabetes in this population. We aimed to examine associations among estrogen levels, adiposity measurements, and cardiometabolic risk variables including insulin resistance in postmenopausal women. One hundred-one healthy participants (mean ± SD: age 57 ± 4 yr, BMI 27.9 ± 4.8 kg/m2 ) were included in the analysis. Fifteen plasma steroids or metabolites were measured by liquid chromatography-tandem mass spectrometry. Insulin sensitivity was assessed with a hyperinsulinemic-euglycemic clamp. Body composition and fat distribution were determined with hydrostatic weighing and computed tomography, respectively. Blood lipids and circulating cytokines were also measured. Circulating E2 was positively correlated with all adiposity indexes ( r = 0.62 to 0.42, P < 0.0001) except waist-to-hip ratio. E2 was positively correlated with VLDL-cholesterol, plasma-, VLDL-, and HDL-triglyceride levels ( r = 0.31 to 0.24, P < 0.02) as well as with hs-CRP and IL-6 ( r = 0.52 and 0.29, P < 0.005) and negatively with HDL-cholesterol, adiponectin, and insulin sensitivity ( r = -0.36 to -0.20, P < 0.02). With adjustments for percent body fat, correlations between E2 and metabolic risk variables were no longer significant. Similar results were observed for circulating estrone (E1 ) and estrone-sulfate (E1 -S) levels. In conclusion, circulating estrogen concentrations are proportional to adipose mass in postmenopausal women, although they remain in the low range. Insulin resistance as well as altered blood lipids and cytokines are observed when circulating estrogen levels are high within that range, but these differences are explained by concomitant variation in total adiposity.- Published
- 2018
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48. Prospective study evaluating the use of nasal glucagon for the treatment of moderate to severe hypoglycaemia in adults with type 1 diabetes in a real-world setting.
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Seaquist ER, Dulude H, Zhang XM, Rabasa-Lhoret R, Tsoukas GM, Conway JR, Weisnagel SJ, Gerety G, Woo VC, Zhang S, Carballo D, Pradhan S, Piché CA, and Guzman CB
- Subjects
- Administration, Intranasal, Adult, Blood Glucose analysis, Blood Glucose Self-Monitoring, Caregivers, Female, Glucagon therapeutic use, Health Knowledge, Attitudes, Practice, Humans, Hypoglycemia blood, Hypoglycemia chemically induced, Hypoglycemia physiopathology, Hypoglycemic Agents therapeutic use, Insulin therapeutic use, Lost to Follow-Up, Male, Middle Aged, Patient Dropouts, Patient Education as Topic, Self Report, Severity of Illness Index, Syncope etiology, Syncope prevention & control, Time Factors, Diabetes Mellitus, Type 1 drug therapy, Glucagon administration & dosage, Hypoglycemia drug therapy, Hypoglycemic Agents adverse effects, Insulin adverse effects
- Abstract
In the present multicentre, open-label, prospective, phase III study, we evaluated the real-world effectiveness and ease of use of nasal glucagon (NG) in the treatment of moderate/severe hypoglycaemic events (HEs) in adults with type 1 diabetes (T1D). Patients and caregivers were taught how to use NG (3 mg) to treat moderate/severe HEs, record the time taken to awaken or return to normal status, and measure blood glucose (BG) levels over time. Questionnaires were used to collect information about adverse events and ease of use of NG. In the efficacy analysis population, 69 patients experienced 157 HEs. In 95.7% patients, HEs resolved within 30 minutes of NG administration. In all the 12 severe HEs, patients awakened or returned to normal status within 15 minutes of NG administration without additional external medical help. Most caregivers reported that NG was easy to use. Most adverse events were local and of low to moderate severity. In this study, a single, 3-mg dose of NG demonstrated real-life effectiveness in treating moderate and severe HEs in adults with T1D. NG was well tolerated and easy to use., (© 2018 The Authors. Diabetes, Obesity and Metabolism published by John Wiley & Sons Ltd.)
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- 2018
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49. The role of glucagon-like peptide-1 receptor agonists in cardiovascular disease prevention in type 2 diabetes mellitus: evidence from the most recent clinical trials.
- Author
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Weisnagel SJ
- Abstract
Competing Interests: Conflicts of Interest: The author was a clinical trial investigator in several of the above mentioned studies. In particular, he participated in or is still involved in the following: TECOS (sitagliptin by Merck), LEADER (liraglutide by Novo-Nordisk), REWIND (dulaglutide by Eli Lilly), DECLARE (dapagliflozin by Astra Zeneca).
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- 2018
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50. Association of prenatal exposure to gestational diabetes with offspring body composition and regional body fat distribution.
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Kearney M, Perron J, Marc I, Weisnagel SJ, Tchernof A, and Robitaille J
- Subjects
- Absorptiometry, Photon, Adiposity, Adult, Blood Glucose metabolism, Body Fat Distribution, Body Mass Index, Body Weight, Child, Child, Preschool, Cohort Studies, Female, Humans, Insulin blood, Male, Obesity etiology, Obesity metabolism, Pregnancy, Prenatal Exposure Delayed Effects etiology, Prenatal Exposure Delayed Effects metabolism, Waist Circumference, Body Composition, Diabetes, Gestational metabolism, Maternal Exposure adverse effects, Obesity physiopathology, Prenatal Exposure Delayed Effects physiopathology
- Abstract
The aim of this cohort study was to compare body composition and regional body fat distribution between children exposed (GDM+) or unexposed (GDM-) in utero to gestational diabetes mellitus (GDM) and to investigate the association with the glycaemic and the insulin profile. Data from 56 GDM+ and 30 GDM- were analysed. Height, weight and waist circumference were measured. Total and regional body composition was measured by dual-energy X-ray absorptiometry. Insulin, glucose and HbA
1c were obtained from a fasting plasma sample, and the HOMA-IR index was calculated. anova was performed to compare adiposity measures between GDM+ and GDM-. Associations between the glycaemic and insulin profile and adiposity measures were studied using partial Pearson correlations. Mean age was 6.6 ± 2.3 years. Waist circumference, fat mass percentage, android fat mass, android fat mass percentage and android-to-gynoid fat mass ratio were higher among GDM+, and lean mass percentage was lower (P < 0.05). Among GDM+ children, body mass index (BMI) z score, waist circumference, fat mass percentage, android fat mass percentage and android-to-gynoid fat mass ratio were all positively correlated with HbA1C (r = 0.32-0.43, P < 0.05). Prenatal exposure to GDM is associated with increased total and abdominal adiposity. This increased adiposity observed among GDM+ children is associated with an altered glycaemic profile. This study is registered in the Clinical Trials.gov registry (NCT01340924)., (© 2017 World Obesity Federation.)- Published
- 2018
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