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12. The role of micronutrients in managing diabetes

Author

Chehade, Joe M., Sheikh-Ali, Mae, and Mooradian, Arshag D.

Subjects
Deficiency diseases -- Risk factors -- Prevention -- Research -- Complications and side effects -- Care and treatment, Diabetes -- Complications and side effects -- Care and treatment -- Research -- Prevention -- Risk factors, Diabetics -- Food and nutrition -- Care and treatment, Health
Abstract

In Brief With the exceptions of folate for prevention of birth defects and calcium for prevention of bone disease, currently there is no evidence of benefit from vitamin or mineral [...]

Published
2009

15. Ertugliflozin and Slope of Chronic eGFR

Author

Cherney, David Z.I., Cosentino, Francesco, Dagogo-Jack, Samuel, McGuire, Darren K., Pratley, Richard, Frederich, Robert, Maldonado, Mario, Liu, Chih-Chin, Liu, Jie, Pong, Annpey, Cannon, Christopher P., Pozzi, Jose Maria, Maffei, Laura, Nardone, Lucrecia, Sessa, Horacio, Brasca, Daniela Garcia, Aizenberg, Diego, Baccaro, Claudia Emilce, Gelersztein, Elizabeth Silvana, Rosario, Fabian Calella Pedro, Leon de la Fuente, Ricardo, de Lapertosa, Silvia Gorban, Maldonado, Natacha, Cruciani, Adrian, Bartolacci, Ines, Hasbani, Eduardo, Frechtel, Gustavo, Papini, Nelson Rodriguez, Pereyra, Alejandro, Montana, Oscar, Zaidman, Cesar, Mansilla, Maria, Ayres, Bronte, Simpson, Richard, Glastras, Sarah, William, Maged, Davis, Timothy, Colquhoun, David, Proietto, Joseph, Roberts, Adam, Roberts, Anthony, Stuckey, Bronwyn, Wittert, Gary, Soldatos, Georgia, Vora, Parind, Kusljugic, Zumreta, Avdagic, Azra, Durak-Nalbantic, Azra, Ibrahimpasic, Kanita, Horozic, Bosanko, Spuzic, Muhamed, Soldat-Stankovic, Valentina, Stevanovic, Dragan, Koco, Damir, Jatic, Zaim, Terzic, Ibrahim, Potkonjak, Ljiljana Markovic, Prnjavorac, Besim, Radanovic, Aleksandar, Salihbasic, Muhamed, Dimitrov, Dimitar, Stoikov, Anastas, Damyanova, Velichka, Vasileva, Darina, Kirilov, Kiril, Lefterov, Ivailo, Lyubenova, Lyudmila, Raev, Dimitar, Tsanova, Veska, Mitkov, Mitko, Shumkova, Rositsa, Kichukov, Kostadin, Simeonova-Nikolova, Tatyana, Ekoe, Jean-Marie, Pandey, Shekhar A., Dumas, Richard, Woo, Vincent, Saunders, Kevin, Conway, James, Breger, Laurie, Constance, Christian, O'Mahony, Michael, Perron, Patrice, Garceau, Claude, Csanadi, Michael, Bourgeois, Ronald, Salter, Timothy, Frechette, Andre, Diaz, Ariel, Ransom, Thomas, Sanchez-Vallejo, Gregorio, Silva, Sandra Isabel Barrera, Mendoza, Jose Accini, Ortiz, Luis Garcia, Lozno, Hernan Yupanqui, de Salazar, Dora Molina, Arroyo, Julian Coronel, Orozco Linares, Luis Alejandro, Lenis Rendon, Claudia Patricia, Darko, Pocanic, Tusek, Srecko, Weiss, Sonja Slosic, Silvija, Canecki-Varzic, Velimir, Altabas, Sidbela, Zukanovic, Cikac, Tatjana, Vucak, Jasna, Cenan, Ljiljana, Boljkovac, Zrinka, Margetic, Srecko, Kranjcevic, Ksenija, Cop, Renata, Adamkova, Vera, Pavlina, Kyselova, Wasserburger, Bedrich, Hrdina, Tomas, Smolenakova, Katerina, Ketevan, Chagunava, Pagava, Zurab, Mamatsashvili, Merab, Burnadze, Koba, Chumburidze, Vakhtang, Lominadze, Zaza, Nikoleishvili, Lali, Kobulia, Bondo, Koberidze, Nana, Emukhvari, Nodar, Kipiani, Zviad, Metreveli, David, Glonti, Salome, Giorgadze, Elene, Shaburishvili, Tamaz, Chapidze, Gulnara, Gulua, Julieta, Gogorishvili, Irakli, Berukashvili, Ekaterine, Petriashvili, Shalva, Kurashvili, Givi, Elisaf, Moses, Bousboulas, Stavros, Tentolouris, Nikolaos, Tsioufis, Konstantinos, Lymperi, Sotiria, Luk, Andrea, Yiu, Kelvin Kai Hang, Tsang, Chiu Chi, Yeung, Vincent Tok Fai, Lee, Alex Pui-Wai, Tan, Kathryn Choon Beng, Wan Ma, Ronald Ching, Wudi, Krisztina Beatrix, Bujtor, Zoltan, Feher, Zsuzsanna, Koranyi, Laszlo, Paragh, Gyorgy, Vasas, Szilard, Pauker, Zsolt, Kesmarki, Nora, Takacs, Janos, Nagy, Laszlo, Salamon, Csaba, Papp, Zsuzsanna, Hajdu, Csaba, Abramov, Galina, Hussein, Osamah, Vishlitzky, Victor, Dicker, Dror, Darawsha, Mahmud, Itzhak, Baruch, Gavish, Dov, Wainstein, Julio, Lewis, Basil, Klainman, Eliezer, Katz, Amos, Elias, Mazen, Ness-Abramof, Rosane, Hayek, Tony, Orsi, Emanuela, Lembo, Giuseppe, Piatti, Piermarco, Consoli, Agostino, Berti, Sergio, Pugliese, Giuseppe, Derosa, Giuseppe, Paolisso, Giuseppe, Limone, Paolo Piero, Jang, Hak Chul, Lee, Moon-Kyu, Kim, Nam Hoon, Cha, Bong-Soo, Park, Kyong Soo, Yoon, Kun Ho, Ahn, Chul Woo, Lee, Kwan Woo, Baik, Sei Hyun, Pirags, Valdis, Pastare, Sigita, Kavaliauskiene, Jurate, Augusteniene, Audrone, Navickas, Antanas, Urbanavicius, Vaidotas, Kavaliauskiene, Roma, Sirutaviciene, Ausra, Llamas Esperon, Guillermo Antonio, Mesa, Juan Villagordoa, Garcia Hernandez, Pedro Alberto, Ceballos, Rosa Luna, Salinas, Carlos Aguilar, Galvez, Guillermo Gonzalez, Melendez-Mier, Guillermo, Orozco, Raul Aguilar, Crijns, Harry, Hoogenberg, Klaas, Voors-Pette, Christine, Lunt, Helen, Scott, Russell, Baker, John, Williams, Michael, Kerr, Jane Elizabeth, Denopol, Marian, Panelo, Araceli, Tirador, Louie, Aquitania, Grace, Rogelio, Gregorio, Amorado-Santos, Florence, Habaluyas, Ramoncito, Rosa, Allyn Sy, Palomares, Ellen, Ebo, Geraldine, Romero, Chela Marie, Gladczak, Joanna, Hawryluk, Jaroslaw, Franek, Edward, Lukaszewicz, Monika, Madej-Dmochowska, Aleksandra, Jeznach-Steinhagen, Anna, Sokolowski, Grzegorz, Ruxer, Jan, Karczmarczyk, Agnieszka, Krzyzagorska, Ewa, Wozniak, Iwona, Olech-Cudzik, Anna, Dwojak, Marek, Anand, Izabela, Strojek, Krzysztof, Czernecka, Ewa, Antkowiak-Piatyszek, Karolina, Rozanska, Aleksandra, Gadzinski, Waldemar, Mader, Piotr, Kuligowska-jakubowska, Monika, Arciszewska, Malgorzata, Stankiewicz, Andrzej, Cypryk, Katarzyna, Wittek, Andrzej, Sawer-Szewczyk, Joanna, Pieniazek, Adam, Negrisanu, Gabriela, Pletea, Noemi, Zaharie, Daniela, Pintilei, Ella, Cif, Adriana, Duma, Livia, Szilagyi, Iosif, Halmagyi, Ildiko, Morosanu, Magdalena, Munteanu, Mircea, Albota, Adrian, Popescu, Alexandrina, Enculescu, Dan Anton, Hancu, Nicolae, Nafornita, Valerica, Croitoru, Lacramioara, Sebestyen, Lucia Luana, Pavlysh, Elena, Nikolaev, Konstantin, Vishnevsky, Alexandr, Reshetko, Olga, Kvitkova, Liudmila, Barbarash, Olga, Rodionova, Tatiana, Shaydyuk, Oxana, Ershova, Olga, Chizhov, Petr, Berns, Svetlana, Rechkova, Elena, Yakushin, Sergey, Zanozina, Olga, Lukyanov, Yuri, Vorobeva, Elena, Zateyshchikov, Dmitry, Verbovaya, Nelly, Bolshakova, Olga, Khrustalev, Oleg, Strongin, Leonid, Bondar, Irina, Zalevskaya, Alsu, Filippova, Ekaterina, Chumakova, Galina, Repin, Alexey, Panov, Alexey, Zivkovic, Teodora Beljic, Petakov, Milan, Sumarac-Dumanovic, Mirjana, Brankovic, Georgina Pudar, Kendereski, Aleksandra, Stojic, Stevo, Macut, Djuro, Babikova, Jana, Teplanova, Miriam, Tomasova, Livia, Martinka, Emil, Lachova, Beata, Ivancova, Gabriela, Rociakova, Jana, Schroner, Zbynek, Donicova, Viera, Ilavska, Adriana, Raslova, Katarina, Africa, South, Distiller, Lawrence, Siebert, Heidi, Badat, Aysha, Blignaut, Suzanne, Sarvan, Mahomed, Govender, Thirumani, Gani, Mashra, Nortje, Hendrik, Mookadam, Mohamed, Naiker, Puvanesveri, de Jong, Douwe, Van Zyl, Louis, Seeber, Mary, Urbach-Bolus, Dorothea, Bayat, Junaid, Boyd, Warren, du Toit, Margaretha, Punt, Zelda, Arnold, Susan, Van Dyk, Christo, Robertson, Leslie Ivan, Kotze, Hester Johanna, Anders, Luts, Martin, Lundvall, Carl-Johan, Lindholm, Bengt-Olov, Tengmark, Dan, Curiac, Peter, Bosson, Pekka, Koskinen, Hajimirsadeghi, Ali, Huang, Chen-Ling, Jiang, Ju-Ying, Hsia, Te- Lin, Ueng, Kwo-Chang, Yang, Wei-Shiung, Lu, Yung-Chuan, Yang, Chwen-Yi, Sheu, Wayne Huey-Herng, Chiang, Chern-En, Yeh, Hung-I, Suwanwalaikorn, Sompongse, Kosachunhanun, Natapong, Sritippayawan, Suchai, Tejavanija, Sirakarn, Silaruks, Songkwan, Araz, Mustafa, Sari, Ramazan, Berker, Dilek Sensoz, Arslan, Muyesser Sayki, Godlevska, Olga, Chopey, Ivan, Teliatnikova, Zinaida, Kuskalo, Petro, Abrahamovych, Orest, Mankovskyi, Borys, Fushtey, Ivan, Myshanych, Galyna, Tykhonova, Susanna, Tseluyko, Vira, Koval, Olena, Parkhomenko, Oleksandr, Prokhorov, Oleksandr, Vayda, Myroslava, Martymianova, Larysa, Zharinova, Viktoriia, Prystupa, Lyudmyla, Pererva, Larysa, Kovalov, Oleksandr, Sokolova, Lyubov, Botsyurko, Volodymyr, Maslyanko, Vitaliy, Vlasenko, Maryna, Khomazyuk, Tetyana, Kulyk, Anna, Synenko, Volodymyr, Karpenko, Oleksandr, Mostovoy, Yuriy, Gyrina, Olga, Dolzhenko, Maryna, Donets, Oleksandra, Sorokina, Inna, Malynovsky, Yaroslav, Lysunets, Olena, Petrovskyy, Roman, Panina, Svitlana, Avornyo, Anthony, Eyre, Susannah, Ryan, John, Cardwell, Glenn, Robinson, Anthony, Clark, Rebecca, Issa, Basil, Weeraratne, Devinda, McCrimmon, Rory, Jones, Thomas, Philip, Sam, Beboso, Ronnie, Davies, Melanie, Kyriakidou, Christina, Saxena, Manish, Thomas, Hawys, Gowda, Madhu, Arif, Imrozia, Oyesile, Babatunde, Cecil, John, Brunskill, Jonathan Mark Edwin, Akinboboye, Olakunle, Akright, Laura, Arora, Chander, Ball, Eric, Benjamin, Sabrina, Budoff, Matthew, Cathcart, Harold, Daboul, Nizar, Denker, Paul, Garner, Andrew, Jabbour, Serge, Jaffrani, Naseem, Jeanfreau, Robert, Knutson, Thomas, Lillestol, Michael, McNeil, Donald, Nakhle, Samer, Randall, William, Mallepalli, Jyothi, Schmidt, Jay, Serje, Jorge, Shoemaker, James, Storey, Daniel, Warner, Alberta, Pimentel, Severino, Quintero, Luis, Galvez, Juan, Bernard, David, Cruz, Humberto, O'Donnell, Philip, Thawani, Hemant, Sorial, Ehab, Schwartzbard, Arthur, Agaiby, John, Garcia, Bernard, Cone, Clancy, Doshi, Ankur, Iranmanesh, Ali, Lingvay, Ildiko, Smith, Kimberly, McLean, Barry, Neutel, Joel, Odugbesan, Adeniyi, Sligh, Teresa, Lesh, Kurt, Rohr, Kathryn, Ajani, Dilawar, Daniel, Jerome, Cornett, George, Dykstra, Gary, Mahal, Sharan, Adams, Michael, Ramstad, David, Arif, Ahmed, Martin, Earl, Sastre, Ramon, Srivastava, Sunny, Feld, Lawrence, Bush, Kelvin, Shah, Vinay, Konigsberg, Sarah, Allaw, Mohammed, Kelly, Richard, MacGillivray, Brian, McGuire, Michael, Weinstein, Debra, Budhraja, Madhusudan, Tahirkheli, Naeem, Binker, Josefa, Bernstein, Marc, Andrawis, Nabil, Abdullah, Shuaib, Christensen, Tom, Khan, Misal, El Shahawy, Mahfouz, Tripathy, Devjit, Ranadive, Nandkishore, Grena, Paul, Villafuerte, Betty, Cook, Charles, Bautista, Jose, Marar, Isam, Kaunzinger, Christian, Bittar, Neville, Frias, Juan, Davit, Rajesh, Bays, Harold, Cohen, Robert, Garvey, William, Smith, Stephen, Ruiz, Jose-Luis, Hartman, Aaron, Diener, James, Chochinov, Ronald, Hunter, John, Aronoff, Stephen, Reed, Larry, Evans, John, Ackermann, Jeremy, Haaksma, James, Torres-Consuegra, Aurelio, Khan, Jalil, Yousuf, Kabir, Bermudez, Lidia, Lumicao, Benjamin, Olmeda, Jorge Torres, Kessler, Evan, Winnie, Michael, Lending, Robert, Razzaque, Naveed, McCartney, Michael, Munoz, Francisco, Buynak, Robert, Ables, Lilia Rodriguez, Makam, Sashi, Lozano, Josefina, Paez, Henry, Gore, Ashwini, Al-Karadsheh, Amer, Masri, Bassem, Gorrela, Sushma, Al-Amin, Jessie Louise, Alani, Firas, Haffizulla, Jason, Hsieh, Ron, Hernandez, Luis Castillo, Turner, Merle, French, William, Jetty, Preetham, Sheikh-Ali, Mae, Leggett, Richard, Perlman, Richard, Goldstein, Gary, Osea, Edgardo A., Bartkowiak, Anthony James, Gimness, Michael Paul, Higgins, Alexander John, Khan, Sohail Mohyuddin, Rahimi, Ali R, Shah, Anil Vallabhdas, Lillo, Joseph Leonard, Hartman, Israel Alejandro, Whitney, Edwin J., Johnston, Janice G., Juarez, Mario R., Perley, Michael J., Kahn, Brian Howard, Amine, Maged A., Pace, Michael Anthony, Peters, Shirin Sabina, Hidalgo, Horacio Augusto, Krichmar, Perry, and Sinha, Rabi Ranjan

Published
2021
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17. Unexpected Bone Metastases from Thyroid Cancer

Author

Gibiezaite, Sandra, Ozdemir, Savas, Shuja, Sania, McCook, Barry, Plazarte, Monica, and Sheikh-Ali, Mae

Subjects
Article Subject
Abstract

Objective. To present a complicated case of differentiated thyroid carcinoma (DTC) with metastases to the skull that was evident on I-131 whole body scan (WBS) but negative on other imaging modalities in a low risk patient. Methods. We will discuss clinical course, imaging, pathological findings, and treatment of the patient with skull metastasis from DTC. Pertinent literature on imaging and pathology findings as well as radioactive iodine (RAI) treatment impact on quality of life and survival in patients with bone metastases from DTC will be reviewed. Results. The patient is a 37-year-old woman with a diagnosis of DTC who had focal areas of increased uptake in the head on WBS with no correlative findings on CT and MRI. Initially, false positive findings were suspected since patient had a low risk for developing metastases. However, the persistent findings on post-RAI treatment WBS, following two courses of treatment, were highly concerning for metastatic bone disease. WBC performed 6 months following the second RAI treatment revealed resolution of the findings. Conclusions. False positive findings in WBS are frequent and may be due to contamination, perspiration, or folliculitis of the scalp as well as benign lesions such as meningioma, hematoma, cavernous angioma, and metallic sutures. However, metastatic disease should always be considered even if the patient has low risk of distant metastatic disease and correlative images do not support the diagnosis. RAI therapy appears to improve the survival rates and quality of life of thyroid cancer patients with bone metastases based on retrospective studies.

Published
2015
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20. Assess and evaluate knowledge, attitude and practice of first aid management of epistaxis among general population in Aseer region

Author

Ali Maeed Sulaiman Al-Shehri, Abdulbari Ahmed Alzahrani, Abdussalam Mohammed A Alqhtani, Mozoon Mohammed Alqhtani, Sarah Hassan A lshehri, Nasser Abdullah N AlGhris, Mohammed Mushabab Al-Mudhi, and Najla Ahmad Saeed Al-Jahash

Subjects
assess, epistaxis, first aid, knowledge, treatment, Medicine
Abstract

Introduction: Epistaxis or nose bleeds is one the most common reported emergencies in the ear, nose and department. Causes of epistaxis varies from being trivial such as nose picking or dry air or trauma to concerning such as infections or elevated blood pressure to life threatening condition such as malignancies. Methods: The purposely constructed questionnaire was used for this research. The questionnaire was constructed by the panel of experts, language, psychological, doctors and subject specialist was there in the team. Internal consistencies of the questionnaire was measure through cronbach alpha. Results: Cronbach alpha = 0.84. Mean ± S.D of age of the respondents were 27.8 ± 9.8. 71.6% were females, 91.5% were belongs to Aseer region, 86.6% were living in village, 77.0% have intermediate level of education, 59.2% were single, 41.6% having health care profession. 51.1% having income less than 5000SAR. Conclusion: Most of them rely on internet and social media to gain knowledge regarding home management of epistaxis. This has limitations as they do not get a hands-on experience. Therefore, we recommend that first aid camps and workshops in management of epistaxis should be organized in order to properly educate the general population regarding its home management.

Published
2021
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22. HMNT: Hash Function Based on New Mersenne Number Transform

Author

Ali Maetouq and Salwani Mohd Daud

Subjects
Hash function, Mersenne number transform, message digest authentication, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
Abstract

In the field of information security, hash functions are considered important as they are used to ensure message integrity and authentication. Despite various available methods to design hash functions, the methods have been proven to time inefficient and have security flaws (such as a lack of collision resistance or susceptibility to birthday attacks). In the current study, we propose a novel hash function scheme based on a new Mersenne number transform. The suggested hash function called Hash Mersenne Number Transform (HMNT) takes an arbitrary length as input to generate a hash value with variable lengths (128, 256 and 512-bits or longer). The proposed scheme is evaluated in terms of the sensitivity of the hash value to the message, secret key and image, distribution of hashes, confusion and diffusion, robustness against collision and birthday attacks, alongside flexibility. Based on the simulation outcomes, the suggested scheme possess high sensitivity to the original message, the secret key and images, along with strong collision resistance. In conclusion, the proposed hash scheme is simple and efficient compared with the existing hash functions, making it viable for practical implementation.

Published
2020
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23. Cauterization tonsillectomy as compared to traditional tonsillectomy technique

Author

Ali Maeed S. Al-Shehri, Haifa Lafi Sahej Alenzi, Yazeed Mansour Ali Mohammed, Abdullah Musleh, Rishi kumar Bharti, and Amr Mohammed Saeed Munshet

Subjects
bleeding, cauterization, pain, postoperative, tonsillectomy, traditional, Medicine
Abstract

Background: Tonsillectomy is one of the most frequently applied and oldest surgical procedures in otorhinolaryngology. Various surgical techniques are used to perform this operation including traditional and cauterization techniques. Objectives: To assess morbidity and efficacy and compare objectively the techniques in tonsillectomy, i.e., traditional technique and cauterization technique. This study compares the traditional and cauterization tonsillectomy techniques in view of their advantages and complications. Methods: This is a retrospective study and comparative study, conducted during the period from January 2017 to March 2018 from the patients attending to Alnamas General Hospital, Aseer Region, Saudi Arabia. The questionnaire was designed to compare the traditional and cauterization tonsillectomy. Fifty patients underwent traditional technique and fifty patients underwent cauterization method. The data analyzed using SPSS V.16.0 (SPSS Inc; Chicago, IL, USA). Results: A total of 100 patients, 62 males and 38 females, aged 8 to 16 years were included in the study. A total of 100 patients were enrolled in the study. Traditional and cauterization tonsillectomy were performed. 50 (27 male and 23 female) patients, whose ages ranged from 9 to 16 years old underwent the traditional tonsillectomy, 50 (35 male and 15 female) patients whose ages ranged from 8 to 16 years underwent cauterization. The two groups were similar for demographic parameters. The difference between mean operative times of the two methods was statistically significant. Postoperative bleeding is significantly higher in the traditional technique compared to cauterization method. Postoperative pain is significantly less in cauterization method. Only a few patients experienced fever, bleeding, and other complications related to anesthesia. The bleeding severity is significantly lower in the cauterization technique. Postoperative pain was less in cauterization technique on day 1 and day 5. Postoperative pain was from mild to severe. Conclusion: This study revealed significantly less postoperative complications in traditional tonsillectomy in comparison with the cauterization method. Healing time was significantly faster in cauterization technique than in traditional method.

Published
2020
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27. A Rational Approach to the Initiation of Insulin Therapy in Older Adults.

Author

Sleikh-Ali, Mae and Chehade, Joe M.

Abstract

The article presents a study regarding the approach recommended by the American Diabetes Association in initiating insulin therapy among older adults in the U.S. It states that insulin analogues are inexpensive and effective as a treatment to diabetes mellitus but may pose health risks in older adults. It highlights the importance of home care for unhealthy older adults to ensure the effectiveness of the insulin therapy.

Published
2009

28. Insulin icodec: A novel once‐weekly treatment for diabetes.

Author

Schaffner, Hannah, Wiener, Jordyn, DeLuca, Amanda, Genovese, Ariana, Deeb, Alexander, Deeb, Wasim, Sheikh‐Ali, Mae, Sutton, David, Gore, Ashwini, Berner, Jason, Huston, Jessica, and Goldfaden, Rebecca

Subjects
*INSULIN derivatives, *INSULIN, *TYPE 1 diabetes, *GLYCEMIC control, *PATIENT compliance
Abstract

Aims Methods Results Conclusions To summarize the results of clinical studies of insulin icodec, an investigational insulin analog designed for once‐weekly administration, in adults with type 1 and type 2 diabetes.Thirteen published articles describing clinical studies of insulin icodec were identified in PubMed, and data pertinent to key study outcomes were selected for inclusion in this review.In insulin‐naïve and insulin‐treated individuals, icodec demonstrated efficacy in glycaemic control superior or noninferior to that of insulins glargine U100, glargine U300 and degludec. Icodec exhibited a safety profile comparable to marketed insulins, with the exception of hypoglycaemic event rates.As a once‐weekly alternative to daily basal insulin, icodec is expected to improve patient adherence and satisfaction, reducing the required number of injections per year from 365 to 52 and providing a dosing option potentially attractive to a wide range of insulin users. However, clinical data suggest a notable risk of hypoglycaemia with weekly icodec administration, especially in individuals with type 1 diabetes. [ABSTRACT FROM AUTHOR]

Published
2024
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29. Refining the Diagnostic Criteria for Diabetic Ketoacidosis.

Author

Sheikh-Ali, Mae, Karon, Bradley S., Basu, Ananda, Kudva, Yogish C., Muller, Lisa A., Saenger, Amy K., Schwenk, W. F., and Miles, John M.

Subjects
*DIABETIC acidosis, *ACETONEMIA, *SERUM, *BLOOD sugar, *HYDROGEN ions, *KETONES, *INSULIN, *DIABETES
Abstract

Current consensus criteria for a diagnosis of diabetic ketoacidosis (DKA) include the presence of ketonuria/ketonemia, a serum bicarbonate (HCO[sub 3]) ≤ 18 mEq/L, a pH ≤7.30, and a glucose > 250 mg/dL. These diagnostic criteria have limitations, however. Measurement of ketone bodies (KB) by the conventional nitroprusside method is not quantitative. Moreover, HCO[sub 3] and pH lack sensitivity and specificity due to coexisting acid-base disturbances (e.g., lactic acidosis, renal acidosis, and/or metabolic alkalosis due to HCl loss from vomiting) and variable respiratory compensation. On the other hand, plasma 103 anion concentration is a specific indicator of DKA because it is a direct reflection of KB production, which is accompanied by equimolar production of hydrogen ion. In the present study, we sought to develop a diagnostic criterion for DKA using a laboratory-based β-hydroxybutyrate (βOHB) assay, and to evaluate the degree of diagnostic discordance between βOHB and HCO[sub 3]. Data. were retrieved electronically by ICD-9 code and for simultaneous measurement of βOHB and HCO[sub 3]. A total of 485 separate encounters in 314 patients with diabetes were identified for the years 1994-2006. There was a strong negative correlation between βOHB and HCO[sub 3] by regression analysis (r⊃2 = 0.64, P < 0.0001). The βOHB value that corresponded to a HCO[sub 3] value of 18 mEq/L was 3.6 mmol/L. Therefore, a βOHB value ≥3.6 mmol/L was used to define DKA, and encounters with values < 3.6 mmol/L were considered to be non-DKA. In DKA cases on admission (n=262), βOHB was 7.8 ±0.2 mmol/L, HCO[sub 3] was 11.5 ± 0.4 mEq/L, and glucose was 478 ± 13 mg/dL. The HCO[sub 3] was > 18 mEq/L in 38 (14.5%) of these cases. Among 223 non-DKA encounters, βOHB was 1.4 ± 0.1 mmol/L, HCO[sub 3] was 22.5 ± 0.3 mEq/L, and glucose was 353 ± 12 mg/dL. The HCO[sub 3] was ≥18 mEq/L in 39 (17.0%) of these episodes. Glucose was ≤250 mg/dL in 23 (∼9%) of the DKA encounters; the majority of these patients had taken supplemental insulin shortly before coming to the hospital. Arterial pH was available in 102 DKA cases, and was 7.18 ± 0.01; 17(16.7%) had values > 7.30. Lactate (available in 67 and 68 of the DKA and non-DKA episodes, respectively) averaged 2.1 mmol/L and was > 4.0 mmol/L in ∼10% of cases in both groups. These data indicate that serum HCO[sub 3], when compared to a more specific "gold standard" KB anion measurement, results in false positive and false negative DKA diagnoses in ∼16% of patients. Where available, a serum βOHB concentration ≥3.6 mmol/L can be used to diagnose DKA, and may be superior to serum HCO[sub 3] for that purpose. [ABSTRACT FROM AUTHOR]

Published
2007

30. Empagliflozin in Patients with Chronic Kidney Disease

Author

Herrington, William G, Staplin, Natalie, Wanner, Christoph, Green, Jennifer B, Hauske, Sibylle J, Emberson, Jonathan R, Preiss, David, Judge, Parminder, Mayne, Kaitlin J, Ng, Sarah Y A, Sammons, Emily, Zhu, Doreen, Hill, Michael, Stevens, Will, Wallendszus, Karl, Brenner, Susanne, Cheung, Alfred K, Liu, Zhi-Hong, Li, Jing, Hooi, Lai Seong, Liu, Wen, Kadowaki, Takashi, Nangaku, Masaomi, Levin, Adeera, Cherney, David, Maggioni, Aldo P, Pontremoli, Roberto, Deo, Rajat, Goto, Shinya, Rossello, Xavier, Tuttle, Katherine R, Steubl, Dominik, Petrini, Michaela, Massey, Dan, Eilbracht, Jens, Brueckmann, Martina, Landray, Martin J, Baigent, Colin, Haynes, Richard, The EMPA-KIDNEY Collaborative Group: Colin Baigent, Martin J Landray, Christoph Wanner, William G Herrington, Richard Haynes, Jennifer B Green, Sibylle J Hauske, Martina Brueckmann, Mark Hopley, Maximillian von-Eynatten, Jyothis George, Susanne Brenner, Alfred K Cheung, David Preiss, Zhi-Hong Liu, Jing Li, Laiseong Hooi, Wen Liu, Takashi Kadowaki, Masaomi Nangaku, Adeera Levin, David Cherney, Roberto Pontremoli, Aldo P Maggioni, Natalie Staplin, Jonathan Emberson, Stefan Hantel, Shinya Goto, Rajat Deo, Katherine R Tuttle, Michael Hill, Parminder Judge, Kaitlin J Mayne, Sarah Y A Ng, Xavier Rossello, Emily Sammons, Doreen Zhu, Peter Sandercock, Rudolf Bilous, Charles Herzog, Paul Whelton, Janet Wittes, Derrick Bennett, Patricia Achiri, Chrissie Ambrose, Cristina Badin, Jill Barton, Richard Brown, Andy Burke, Sebastian Butler, Rejive Dayanandan, Pia Donaldson, Robert Dykas, Lucy Fletcher, Kate Frederick, Hannah Kingston, Mo Gray, Emily Harding, Akiko Hashimoto, Lyn Howie, Susan Hurley, Ryonfa Lee, Nik Luker, Kevin Murphy, Mariko Nakahara, John Nolan, Michelle Nunn, Sorcha Mulligan, Akiko Omata, Sandra Pickworth, YanRu Qiao, Shraddha Shah, Karen Taylor, Alison Timadjer, Monique Willett, Liz Wincott, Qin Yan, Hui Yu, Louise Bowman, Fang Chen, Robert Clarke, Michelle Goonasekera, Waseem Karsan, Marion Mafham, Christina Reith, Mohammed Zayed, Ritva Ellison, Rowan Moys, Will Stevens, Kevin Verdel, Karl Wallendszus, Chris Bowler, Anna Brewer, Andy Measor, Guanguo Cui, Charles Daniels, Angela Field, Bob Goodenough, Ashley Lawson, Youcef Mostefai, Dheeptha Radhakrishnan, Samee Syed, Shuang Xia, Ruth Adewuyi-Dalton, Thomas Arnold, Anne-Marie Beneat, Anoushka Bhatt, Chloe Bird, Andrew Breach, Laura Brown, Mark Caple, Tatyana Chavagnon, Karen Chung, Sarah Clark, Luminita Condurache, Katarzyna Eichstadt, Marta Espino Obrero, Scarlett Forest, Helen French, Nick Goodwin, Andrew Gordon, Joanne Gordon, Cat Guest, Tina Harding, Michal Hozak, Matthew Lacey, David MacLean, Louise Messinger, Stewart Moffat, Martin Radley, Claire Shenton, Sarah Tipper, Jon Tyler, Lesley Weaving, James Wheeler, Elissa Williams, Tim Williams, Hamish Woodhouse, Angela Chamberlain, Jo Chambers, Joanne Davies, Denise Donaldson, Pati Faria-Shayler, Denise Fleming-Brown, Jennifer Ingell, Carol Knott, Anna Liew, Helen Lochhead, Juliette Meek, Isabel Rodriguez-Bachiller, Andrea Wilson, Patrick Zettergren, Rach AitSadi, Ian Barton, Alex Baxter, Yonghong Bu, Lukasz Danel, Sonja Grotjahn, Rijo Kurien, Michael Lay, Archie Maskill, Aleksandra Murawska, Rachel Raff, Allen Young, Rebecca Sardell, Vladimir Cejka, Marcela Fajardo-Moser, Christian Hartner, Doris Poehler, Janina Renner, Franziska Scheidemantel, Miya Bryant, Anita Hepditch, Cassandra Johnson, Erin Latore, Yolanda Miller, Lauren Price, Merilee Whalen, Ashleigh Wheeler, Jenny Ingell, Yu An, Yinghua Chen, Peiling Chen, Hao Dai, Hong Du, Fang Feng, Qing Guo, Libo Hou, Wuhanbilige Hundei, Binbin Jin, Yan Li, Jiamin Liu, Xia Song, Yanping Wang, Yanwu Yu, Ning Zhang, Lingshan Zhao, Hui Zhong, Cheng Beng Goh, Ye Mun Low, Soon Yi Sor, Farah Hanis Zulkipli, Sarojini Sivanandam, Natsuki Arai, Ai Fukasawa, Mizue Furukawa, Keisuke Habuki, Shoko Hayashi, Wakako Isari, Saki Kanegae, Maria Kawai, Reiki Kobayashi, Takako Kuramae, Chika Kuribayashi, Sawako Maeno, Satoshi Masumoto, Tomoko Morisaki, Minoru Oda, Kazue Sawada, Kenta Sugamori, Ayana Tatsuzawa, Aiko Tomita, Kazuyuki Yuasa, Hiroko Inazawa, Amanda Axler, Kerri Gallo, Ester Baldini, Barbara Bartolomei Mecatti, Francesca Bianchini, Martina Ceseri, Laura Cipressa, Gianna Fabbri, Andrea Lorimer, Donata Lucci, Sharang Ghavampour, Anja Knoppe, Hans Schmidt-Gurtler, Hubert Dumann, Sybille Merscher, Margret Patecki, Georg Rainer Schlieper, Anke Torp, Bianca Weber, Maja Zietz, Bernd Hohenstein, Urs Benck, Diliana Draganova, Thomas Weinreich, Lothar Wolf, Jasmine Gaidu, Hanna Reiner, Mandy Visnjic, Daniel Steffl, Marie Breitenfeldt, Annette Kraemer-Guth, Christine Braun, Simone Hagge, Michael Schomig, Stephan Matthias, Dominik Stoffler, Beate Schumacher, Thomas Sitter, Louise Fuessl, Julia Krappe, Jerome Loutan, Volker Vielhauer, Luciano Andriaccio, Magdalena Maurer, Bernhard Winkelmann, Martin Dursch, Linda Seifert, Linda Tenbusch, Julia Weinmann-Menke, Simone Boedecker, Wiebke Kaluza-Schilling, Daniel Kraus, Carina Krieger, Margit Schmude, Anne Schreiber, Ewelina Eckrich, Diethelm Tschope, Abdulwahab Arbi, Young Lee-Barkey, Bernd Stratmann, Natalie Prib, Sina Rolfsmeier, Irina Schneider, Lars Rump, Johannes Stegbauer, Christine Pötz, Mara Schemmelmann, Claudia Schmidt, Michael Koch, Sendogan Aker, Annika Küpper, Manuela Martin, Thiemo Pfab, Christian Albert, Michael Haase, Barbara Zander, Claudia Schneider-Danwitz, Wolfgang Seeger, Wolf-Adam Seeger, Britta Zemann, Christoph Stellbrink, Kristin Marx, Ekaterina Stellbrink, Britta Brettschneider, Stephanie Watson, Marion Iselt, Gerhard Klausmann, Inga-Nadine Kummer, Auguste Kutschat, Simone Streitenberger, Matthias Girndt, Silke Markau, Ina Girakossyan, Claudia Hanf, Joachim Beige, Ralph Wendt, Ulrike Schmidt, Andreas Schneider, Roland Veelken, Claudia Donhauser, Luis Becker, Nexhat Miftari, Ricarda Wolfling, Sarah Morlok, Christian Hugo, Alexander Paliege, Jens Passauer, Julian Stumpf, Annegret Fleischer, Kerstin Haaser, Bernhard 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Elisabeth Laundy, Zhuo Tang, Radica Alicic, Ann Cooper, Lisa Davis, Ashwini Gore, Rebecca Goldfaden, Leslie Harvill, Lisa Hichkad, Barry Johns, Thomas Jones, Kayla Merritt, Jennifer Sheldon, Jennifer Stanfield, Lindsay Alexander, Kaitlyn Preston, Lindsey Wood, Rajesh Pradhan, Roger DeRaad, Kelli McIntosh, Louis Raymond, Michael Shepperd, Susan McLaughlin, Mary Seifert, Andrew Shepherd, Joseph Aiello, William Durham, Laurie Loudermilk, John Manley, Sabrina Burnette, Stephanie Evans, Tara Johnson, Lance Sloan, Judy Ann Acosta, Stacy Gillham, Katia Sloan, SueAnn Squyres, Michael Rocco, Amret Hawfield, Ben Bagwell, Lauren Richmond, Joseph Soufer, Subha Clarke, Amanda Aliu, Kristine Calabrese, Amanda Davis, Veronica Poma, Tracy Spinola, James Magee, Ricardo Silva, Rushab Choksi, Lorraine Dajani, John Evans, Anil George, Prasanth Krish, Gerard Martins, Mae Sheikh-Ali, David Sutton, Freda Driver, Abraham Hanburry, Laura Hume, Amber Hurst, Matthew Taddeo, Marla Turner, Veronica Yousif, 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Cader, Ruslinda Mustafar, Lydia Kamaruzaman, Rozita Mohd, Rahimah Ismail, Chong Men Leong, Chee Koon Low, Liang Wei Wong, Norlezah Adnan, Sabariah Ibrahim, Mohamad Zaimi Abdul Wahab, Sunita Bavanandan, Yik Shen Lim, Wan Hazlina Wan Mohamad, Siti Munirah Jaafar, Nur Ashykeen Mohd Fauzi, Aziee Sudin, Soo Kun Lim, Chye Chung Gan, Albert Hing, Wan Ahmad Faizal Alaidin Razali, Yew Fong Liew, Chelsia Bao Tyng Chan, Mei Chih Cheng, Yu Chen Ong, Loke Meng Ong, Farah Amalina Mohamed Affandi, Korina Rahmat, Ban Chai Peng, Masayu Amat, Nuzaimin Hadafi Ahmad, Doo Yee Mah, Yi Loon Tye, Zaid Azhari, Siti Nabilah Mohamad Zaini, Mohd Aidil Musa, Norazinizah Ahmad Miswan, Rafizanur Ramli, Nor Aziah Ahmad, Bak Leong Goh, Nurul Izah Ahmad, Fairol Huda Ibrahim, Tze Jian Ng, Malini Shanmuganathan, Li Lian Tay, Zaiha Harun, Salmi Ramli, Nurul 'Ain Yusof, Rossenizal Abd Rahman, Muhammad Iqbal Abdul Hafidz, Nur Hidayati Mohd Sharif, Irda Yasmoon Awang, Eitaro Nakashima, Rui Imamine, Makiko Minatoguchi, Yukari Miura, Miduki Nakaoka, Yoshiki Suzuki, Hitomi Yoshikawa, Koki Shin, Kanae Fujita, Misuzu Iwasa, Haruka Sasajima, Airi Sato, Yoshiyuki Hamamoto, Yuki Fujita, Takuya Haraguchi, Takanori Hyo, Kiyohiro Izumi, Toshiyuki Komiya, Sodai Kubota, Takeshi Kurose, Hitoshi Kuwata, Susumu Nakatani, Kaori Oishi, Saki Okamoto, Kaori Okamura, Jun Takeoka, Nagaaki Tanaka, Katsuya Tanigaki, Naohiro Toda, Koin Watanabe, Hiromi Komori, Rika Kumuji, Asako Takesada, Aya Tanaka, Shoichi Maruyama, Tomonori Hasegawa, Akiko Ishiguro, Takuji Ishimoto, Kazuhiro Ito, Yutaka Kamimura, Noritoshi Kato, Sawako Kato, Hiroshi Kojima, Tomoki Kosugi, Kayaho Maeda, Masasi Mizuno, Shoji Saito, Hitomi Sato, Yuka Sato, Yasuhiro Suzuki, Akihito Tanaka, Yoshinari Yasuda, Fujiko Hasegawa, Maiko Hayashi, Shizuka Higashi, Kaho Shimamura, Momoko Sumi, Kazuki Tajima, Chimaki Unekawa, Kana Wakayama, Yukiko Wakita, Takatoshi Otani, Ayako Imai, Sayaka Kawashima, Eri Kogure, Tomoe Sato, Misato Takezawa, Shinya Yoshida, Hideo Araki, Yuko 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Reina Umeno, Yoshihisa Wada, Toshiya Yamamoto, Yu Yamanouchi, Masumi Abe, Yoko Inukai, Wataru Ogawa, Shunichiro Asahara, Hideki Fujii, Shunsuke Goto, Yushi Hirota, Tetsuya Hosooka, Keiji Kono, Shinichi Nishi, Yuko Okada, Kazuhiko Sakaguchi, Kenji Sugawara, Michiko Takahashi, Tomoko Takai, Yoshikazu Tamori, Kentaro Watanabe, Miyu Kitajima, Misaki Nishi, Junko Wada, Yasuhiko Ito, Hideki Kamiya, Akimasa Asai, Nao Asai, Saeko Asano, Shogo Banno, Yohei Ejima, Hanako Hase, Tomohide Hayami, Tatsuhito Himeno, Takahiro Ishikawa, Mayumi Ito, Shiho Iwagaitsu, Rina Kasagi, Yoshiro Kato, Makoto Kato, Koichi Kato, Takayuki Katsuno, Miyuka Kawai, Hiroshi Kinashi, Masaki Kondo, Masako Koshino, Naoya Matsuoka, Yoshiaki Morishita, Mikio Motegi, Jiro Nakamura, Hiromi Shimoda, Hirokazu Sugiyama, Shin Tsunekawa, Makoto Yamaguchi, Kazuyo Takahashi, Hirotaka Watada, Takashi Funayama, Yasuhiko Furukawa, Tomohito Gohda, Hiromasa Goto, Hideyoshi Kaga, Yasuhiko Kanaguchi, Akio Kanazawa, Kayo Kaneko, Toshiki Kano, Masao Kihara, Shogo Kimura, Takashi Kobayashi, Masayuki Maiguma, Yuko Makita, Satoshi Mano, Tomoya Mita, Takeshi Miyatsuka, Maki Murakoshi, Masahiro Muto, Masami Nakata, Junichiro Nakata, Yuya Nishida, Nao Nohara, Takeshi Ogihara, Daisuke Sato, Junko Sato, Hiroaki Sato, Yusuke Suzuki, Ruka Suzuki, Hitoshi Suzuki, Miyuki Takagi, Yoshifumi Tamura, Toyoyoshi Uchida, Seiji Ueda, Miki Asawa, Minako Miyaji, Eri Nagashima, Yoshie Shibata, Eri Yanagisawa, Toshimasa Yamauchi, Yosuke Hirakawa, Hiroshi Nishi, Nobuhiro Shojima, Satoko Horikawa, Yukiko Nakayama, Naoko Yamada, Yuki Omori, Shintaro Yano, Miyabi Ioka, Nahoko Kuwabara, Remi Nagano, Megumi Nozawa, Yumi Osawa, Hiroshi Maegawa, Shinji Kume, Shinichi Araki, Itsuko Miyazawa, Katsutaro Morino, Ikuko Kawai, Masumi Sobata, Motoko Takaoka, Yasushi Iwaita, Takashi Udagawa, Ami Inamori, Aya Kawase, Aya Yamanaka, Hitoshi Shimano, Akiko Fujita, Hitoshi Iwasaki, Hirayasu Kai, Yoshinori Osaki, Chie Saito, Motohiro Sekiya, Ryoya Tsunoda, Kunihiro Yamagata, Rikako Nakamura, Aiko Yamada, Mitsuru Ohsugi, Motoharu Awazawa, Ryotaro Bouchi, Shota Hashimoto, Makiko Hashimoto, Tomoko Hisatake, Noriko Ihana, Koko Ishizuka, Kazuo Izumi, Hiroshi Kajio, Michi Kobayashi, Noriko Kodani, Koji Maruyama, Michihiro Matsumoto, Maya Matsushita, Tomoka Nakamura, Takehiro Sugiyama, Akiyo Tanabe, Aiko Terakawa, Kojiro Ueki, Yuko Orimo, Takako Ozawa, Eriko Takahira, Yoshimitsu Yamasaki, Masakazu Haneda, Tadahiro Tomita, Saori Akimoto, Akihiro Fujimoto, Kenji Ishihara, Chiho Murakami, Akiyo Nishiyama, Yukiko Toyonaga, Kana Uozumi, Yukihiro Yamaji, Tetsuya Shigehara, Jun Okajyo, Yukihiro Shimizu, Shingo Iwasaki, Yuki Fukao, Megumi Furusho, Shintaro Nunokawa, Hideki Katagiri, Tomohito Izumi, Keizo Kaneko, Shinjiro Kodama, Mariko Miyazaki, Yuichiro Munakata, Tasuku Nagasawa, Yuji Oe, Hiroto Sugawara, Kei Takahashi, Kazushige Hirata, Keiko Inomata, Shoko Otomo, Taeko Uchida, Chigusa Yamashita, Arihiro Kiyosue, Ryota Tamura, Francois Dube, Marilene Bolduc, Marie-Christine Talbot, Leslie Cham, Vesta Lai, Josephine Tse, Shivinder Jolly, Tabbatha Duck, Scott Lyle, Rachel Epp, Camille Galloway, Susan Haskett, Elizabeta Matvienko, Liam Paulsen, Louise Moist, Zabrina Lozon, Tina Ramsey, Brittany Whitmore, Bader Al-Zeer, Paula Macleod, Aoife O'Sullivan, Zainab Sheriff, Sam Tholl, Amritanshu Pandey, Samantha Armstrong, Bethelihem Gebeyehu, Patrick Toth, Ronald Goldenberg, Mahsa Jahangiriesmaili, Shariff Sanguila, Neethi Suresh, Tanvi Talsania, Nadia Zalunardo, Mohsen Agharazii, Marie-Pier Roussel, Annie Saillant, France Samson, Harpreet Bajaj, Miken Bhavsar, Parul Dhall, Gagandeep Dhillon, Bhupinder Grewal, Taniya Nimbkar, Francois Madore, Guylaine Marcotte, Oren Steen, Mathura Bullen, Shayani Raguwaran, Andre Valleteau, Marie-France Langlois, Christine Brown, Andrew Steele, Melissa Garrity, Taneera Ghate, Holly Robinson, Michael Tolibas, Chetna Tailor, Lauren Elliott, Christine McClary-Wright, Fadia Boreky, Sameh Fikry, Ayesha Ali, Chintankumar Barot, Wagdy Basily, Thisun Saram, Vinay Varad, Hasnain Khandwala, Alex Aguilera, Patricia Alvarez, Balwinder Gill, Nazihah Huda, Aamir Navivala, Daniel Pinto, Micheli Bevilacqua, Elaine Fung, Geraldine Hernandez, Puneet Mann, Jaskiran Saini, Remi Rabasa-Lhoret, Danijela Bovan, Marie Devaux, Cecilia Barnini, Giovanna Leoncini, Luca Manco, Giulia Nobili, Matteo Piemontese, Filippo Aucella, Rachele Grifa, Francesco Totaro, Gaetano La Manna, Irene Capelli, Giuseppe Cianciolo, Sarah Lerario, Fulvia Zappulo, Alberto Rosati, Filippo Fani, Giuseppe Spatoliatore, Loreto Gesualdo, Francesco Pesce, Maria Russo, Maria Zippo, Cesira Cafiero, Daria Motta, Simona Bianco, Donatella Bilucaglia, Piergiorgio Messa, Laura Pavone, Federica Tripodi, Simone Vettoretti, Paola Fioretto, Gianni Carraro, Filippo Farnia, Anna Postal, Alessandro D'Amelio, Antonio Cardone, Giovanni Piccinni, Annalisa Aloisi, Francesco Scolari, Federico Alberici, Alice Guerini, Chiara Saccà, Chiara Salviani, Roberta Zani, Luca De Nicola, Carlo Garofalo, Maria Elena Liberti, Roberto Minutolo, Luigi Pennino, Lucio Polese, Paolo Mené, Simona Barberi, Clorinda Falcone, Francesco Russo, Maurizio Caroppo, Gennaro Santorelli, Rodolfo Rivera, Domenico Santoro, Alfio Giuffrida, Fortunata Zirino, Cristina Calvi, Luca Estienne, Giovanni Gambaro, Concetta Gangemi, Vittorio Ortalda, Giuseppina Pessolano, Giuseppe Grandaliano, Rocco Baccaro, Pietro Ferraro, Roberto Mangiacapra, Marco Melandri, Nadia Foligno, Rita Quartagno, Giuseppe Vezzoli, Elena Brioni, William G, Herrington, Natalie, Staplin, Christoph, Wanner, Jennifer B, Green, Sibylle J, Hauske, Jonathan R, Emberson, David, Prei, Parminder, Judge, Kaitlin J, Mayne, Sarah Y A, Ng, Emily, Sammon, Doreen, Zhu, Michael, Hill, Will, Steven, Karl, Wallendszu, Susanne, Brenner, Alfred K, Cheung, Zhi-Hong, Liu, Jing, Li, Lai Seong, Hooi, Wen, Liu, Takashi, Kadowaki, Masaomi, Nangaku, Adeera, Levin, David, Cherney, Aldo P, Maggioni, Roberto, Pontremoli, Rajat, Deo, Shinya, Goto, Xavier, Rossello, Katherine R, Tuttle, Dominik, Steubl, Michaela, Petrini, Dan, Massey, Jens, Eilbracht, Martina, Brueckmann, Martin J, Landray, Colin, Baigent, Richard, Hayne, EMPA-KIDNEY Collaborative Group: Colin Baigent, The, J Landray, Martin, Wanner, Christoph, G Herrington, William, Haynes, Richard, B Green, Jennifer, J Hauske, Sibylle, Brueckmann, Martina, Hopley, Mark, von-Eynatten, Maximillian, George, Jyothi, Brenner, Susanne, K Cheung, Alfred, Preiss, David, Liu, Zhi-Hong, Li, Jing, Hooi, Laiseong, Liu, Wen, Kadowaki, Takashi, Nangaku, Masaomi, Levin, Adeera, Cherney, David, Pontremoli, Roberto, P Maggioni, Aldo, Staplin, Natalie, Emberson, Jonathan, Hantel, Stefan, Goto, Shinya, Deo, Rajat, R Tuttle, Katherine, Hill, Michael, Judge, Parminder, J Mayne, Kaitlin, A Ng, Sarah Y, Rossello, Xavier, Sammons, Emily, Zhu, Doreen, Sandercock, Peter, Bilous, Rudolf, Herzog, Charle, Whelton, Paul, Wittes, Janet, Bennett, Derrick, Achiri, Patricia, Ambrose, Chrissie, Badin, Cristina, Barton, Jill, Brown, Richard, Burke, Andy, Butler, Sebastian, Dayanandan, Rejive, Donaldson, Pia, Dykas, Robert, Fletcher, Lucy, Frederick, Kate, Kingston, Hannah, Gray, Mo, Harding, Emily, Hashimoto, Akiko, Howie, Lyn, Hurley, Susan, Lee, Ryonfa, Luker, Nik, Murphy, Kevin, Nakahara, Mariko, Nolan, John, Nunn, Michelle, Mulligan, Sorcha, Omata, Akiko, Pickworth, Sandra, Qiao, Yanru, Shah, Shraddha, Taylor, Karen, Timadjer, Alison, Willett, Monique, Wincott, Liz, Yan, Qin, Yu, Hui, Bowman, Louise, Chen, Fang, Clarke, Robert, Goonasekera, Michelle, Karsan, Waseem, Mafham, Marion, Reith, Christina, Zayed, Mohammed, Ellison, Ritva, Moys, Rowan, Stevens, Will, Verdel, Kevin, Wallendszus, Karl, Bowler, Chri, Brewer, Anna, Measor, Andy, Cui, Guanguo, Daniels, Charle, Field, Angela, Goodenough, Bob, Lawson, Ashley, Mostefai, Youcef, Radhakrishnan, Dheeptha, Syed, Samee, Xia, Shuang, Adewuyi-Dalton, Ruth, Arnold, Thoma, Beneat, Anne-Marie, Bhatt, Anoushka, Bird, Chloe, Breach, Andrew, Brown, Laura, Caple, Mark, Chavagnon, Tatyana, Chung, Karen, Clark, Sarah, Condurache, Luminita, Eichstadt, Katarzyna, Espino Obrero, Marta, Forest, Scarlett, French, Helen, Goodwin, Nick, Gordon, Andrew, Gordon, Joanne, Guest, Cat, Harding, Tina, Hozak, Michal, Lacey, Matthew, Maclean, David, Messinger, Louise, Moffat, Stewart, Radley, Martin, Shenton, Claire, Tipper, Sarah, Tyler, Jon, Weaving, Lesley, Wheeler, Jame, Williams, Elissa, Williams, Tim, Woodhouse, Hamish, Chamberlain, Angela, Chambers, Jo, Davies, Joanne, Donaldson, Denise, Faria-Shayler, Pati, Fleming-Brown, Denise, Ingell, Jennifer, Knott, Carol, Liew, Anna, Lochhead, Helen, Meek, Juliette, Rodriguez-Bachiller, Isabel, Wilson, Andrea, Zettergren, Patrick, Aitsadi, Rach, Barton, Ian, Baxter, Alex, Bu, Yonghong, Danel, Lukasz, Grotjahn, Sonja, Kurien, Rijo, Lay, Michael, Maskill, Archie, Murawska, Aleksandra, Raff, Rachel, Young, Allen, Sardell, Rebecca, Cejka, Vladimir, Fajardo-Moser, Marcela, Hartner, Christian, Poehler, Dori, Renner, Janina, Scheidemantel, Franziska, Bryant, Miya, Hepditch, Anita, Johnson, Cassandra, Latore, Erin, Miller, Yolanda, Price, Lauren, Whalen, Merilee, Wheeler, Ashleigh, Ingell, Jenny, An, Yu, Chen, Yinghua, Chen, Peiling, Dai, Hao, Du, Hong, Feng, Fang, Guo, Qing, Hou, Libo, Hundei, Wuhanbilige, Jin, Binbin, Li, Yan, Liu, Jiamin, Song, Xia, Wang, Yanping, Yu, Yanwu, Zhang, Ning, Zhao, Lingshan, Zhong, Hui, Beng Goh, Cheng, Mun Low, Ye, Yi Sor, Soon, Hanis Zulkipli, Farah, Sivanandam, Sarojini, Arai, Natsuki, Fukasawa, Ai, Furukawa, Mizue, Habuki, Keisuke, Hayashi, Shoko, Isari, Wakako, Kanegae, Saki, Kawai, Maria, Kobayashi, Reiki, Kuramae, Takako, Kuribayashi, Chika, Maeno, Sawako, Masumoto, Satoshi, Morisaki, Tomoko, Oda, Minoru, Sawada, Kazue, Sugamori, Kenta, Tatsuzawa, Ayana, Tomita, Aiko, Yuasa, Kazuyuki, Inazawa, Hiroko, Axler, Amanda, Gallo, Kerri, Baldini, Ester, Bartolomei Mecatti, Barbara, Bianchini, Francesca, Ceseri, Martina, Cipressa, Laura, Fabbri, Gianna, Lorimer, Andrea, Lucci, Donata, Ghavampour, Sharang, Knoppe, Anja, Schmidt-Gurtler, Han, Dumann, Hubert, Merscher, Sybille, Patecki, Margret, Rainer Schlieper, Georg, Torp, Anke, Weber, Bianca, Zietz, Maja, Hohenstein, Bernd, Benck, Ur, Draganova, Diliana, Weinreich, Thoma, Wolf, Lothar, Gaidu, Jasmine, Reiner, Hanna, Visnjic, Mandy, Steffl, Daniel, Breitenfeldt, Marie, Kraemer-Guth, Annette, Braun, Christine, Hagge, Simone, Schomig, Michael, Matthias, Stephan, Stoffler, Dominik, Schumacher, Beate, Sitter, Thoma, Fuessl, Louise, Krappe, Julia, Loutan, Jerome, Vielhauer, Volker, Andriaccio, Luciano, Maurer, Magdalena, Winkelmann, Bernhard, Dursch, Martin, Seifert, Linda, Tenbusch, Linda, Weinmann-Menke, Julia, Boedecker, Simone, Kaluza-Schilling, Wiebke, Kraus, Daniel, Krieger, Carina, Schmude, Margit, Schreiber, Anne, Eckrich, Ewelina, Tschope, Diethelm, Arbi, Abdulwahab, Lee-Barkey, Young, Stratmann, Bernd, Prib, Natalie, Rolfsmeier, Sina, Schneider, Irina, Rump, Lar, Stegbauer, Johanne, Pötz, Christine, Schemmelmann, Mara, Schmidt, Claudia, Koch, Michael, Aker, Sendogan, Küpper, Annika, Martin, Manuela, Pfab, Thiemo, Albert, Christian, Haase, Michael, Zander, Barbara, Schneider-Danwitz, Claudia, Seeger, Wolfgang, Seeger, Wolf-Adam, Zemann, Britta, Stellbrink, Christoph, Marx, Kristin, Stellbrink, Ekaterina, Brettschneider, Britta, Watson, Stephanie, Iselt, Marion, Klausmann, Gerhard, Kummer, Inga-Nadine, Kutschat, Auguste, Streitenberger, Simone, Girndt, Matthia, Markau, Silke, Girakossyan, Ina, Hanf, Claudia, Beige, Joachim, Wendt, Ralph, Schmidt, Ulrike, Schneider, Andrea, Veelken, Roland, Donhauser, Claudia, Becker, Lui, Miftari, Nexhat, Wolfling, Ricarda, Morlok, Sarah, Hugo, Christian, Paliege, Alexander, Passauer, Jen, Stumpf, Julian, Fleischer, Annegret, Haaser, Kerstin, Kraemer, Bernhard, Jochims, Jan, Kruger, Bernd, Foellinger, Claudia, Reisler, Anastassiya, Strutz, Frank, Haack, Stefan, Hohenstatt, Ursula, Busch, Martin, Herfurth, Konstantin, Wolf, Gunter, Paul, Rainer, Haller, Hermann, Kaufeld, Jessica, Menne, Jan, Bahlmann-Kroll, Elisabeth, Bergner, Angela, Weihprecht, Horst, Er, Aydin, Sonntag, Florian, Turan, Elif, Wittmann, Michael, Klauser, Franziska, Voigt, Eva, Schettler, Volker, Schulz, Egbert, Rohnstock, Madlen, Schettler, Elke, Schroppel, Bernd, van Erp, Rene, Kachele, Martin, Ludwig, Ulla, Schulte-Kemna, Lena, Kmietschak, Waltraud, Preiss, Elke, Ruocco, Martina, Heine, Gunnar, Brzoska, Martin, Gabel, Sebastian, Büttner, Christina, Sabarai, Asma, Banas, Bernhard, Bergler, Tobia, Ehrl, Yvonne, Putz, Franz, Schuster, Antonia, Kuhn, Stefanie, Schramm, Torsten, Degenhardt, Stefan, Schmidt, Gerhard, Weiland, Lea, Giebeln-Hudnell, Ulrike, Kielstein, Jan, Eden, Gabriele, Fuchs, Brigitte, Morig, Gina, Winkler, Manuela, Darius, Harald, Kriatselis, Charalampo, Roesch, Carl-Philipp, Maselli, Astrid, Alscher, Dominik, Ketteler, Marku, Schanz, Moritz, Schricker, Severin, Rettenmaier, Bianka, Schwab, Andrea, Pergola, Pablo, Leal, Irene, Cagle, Melissa, Romo, Anna, Torres, Anthony, Joshi, Sucharit, Barrett, Kulli, Africano, Alexi, Dodds, Vicki, Gowen, Dorleena, Morris, Ashlee, Fernandez, Juan, Jimenez, Guillermo, Viera, Ricardo, Bruce, Kendaling, Barrios, Ryan, Garcia, Maylin, Garcia, Kerelyn, Leal, Iradi, Tietjen, David, Bains, David, Castillo, Carlo, Brewer, Genielle, Davis, Justin, Freking, Natalie, Golson, Brittany, Ham, Sally, Roesch, Jesslyn, Suchinda, Pusadee, Beigh, Shameem, Lilavivat, Usah, Bilton, Joyce, Bocchicchia, Kim, Turner, Jeffrey, Dahl, Neera, Peixoto, Aldo, Kavak, Yasemin, Liberti, Lauren, Nair, Hari, Page, Nicola, Rosenberg, Stephanie, Simmons, Kathryn, Isakova, Tamara, Frazier, Rebecca, Mehta, Rupal, Srivastava, Anand, Fox, Patrick, Hecktman, Jonathan, Hodakowski, Alexander, Martinez, Carlo, Phillips, Rachel, Stevenson, Alexi, Mustafa, Reem, Jansson, Kyle, Kimber, Cassandra, Stubbs, Jason, Tuffaha, Ahmad, Yarlagadda, Sri, Griffin, Debbie, Laundy, Elisabeth, Tang, Zhuo, Alicic, Radica, Cooper, Ann, Davis, Lisa, Gore, Ashwini, Goldfaden, Rebecca, Harvill, Leslie, Hichkad, Lisa, Johns, Barry, Jones, Thoma, Merritt, Kayla, Sheldon, Jennifer, Stanfield, Jennifer, Alexander, Lindsay, Preston, Kaitlyn, Wood, Lindsey, Pradhan, Rajesh, Deraad, Roger, Mcintosh, Kelli, Raymond, Loui, Shepperd, Michael, Mclaughlin, Susan, Seifert, Mary, Shepherd, Andrew, Aiello, Joseph, Durham, William, Loudermilk, Laurie, Manley, John, Burnette, Sabrina, Evans, Stephanie, Johnson, Tara, Sloan, Lance, Ann Acosta, Judy, Gillham, Stacy, Sloan, Katia, Squyres, Sueann, Rocco, Michael, Hawfield, Amret, Bagwell, Ben, Richmond, Lauren, Soufer, Joseph, Clarke, Subha, Aliu, Amanda, Calabrese, Kristine, Davis, Amanda, Poma, Veronica, Spinola, Tracy, Magee, Jame, Silva, Ricardo, Choksi, Rushab, Dajani, Lorraine, Evans, John, George, Anil, Krish, Prasanth, Martins, Gerard, Sheikh-Ali, Mae, Sutton, David, Driver, Freda, Hanburry, Abraham, Hume, Laura, Hurst, Amber, Taddeo, Matthew, Turner, Marla, Yousif, Veronica, Beddhu, Srinivasan, Al-Rabadi, Laith, Abraham, Nikita, Caamano, Amalia, Carle, Judy, Gonce, Victoria, Staylor, Kaitlyn, Zhou, Na, Bansal, Shweta, Bhattarai, Manoj, Sharma, Kumar, Debnath, Subrata, Garza, Aliseiya, Velagapudi, Chakradhar, Rovner, Sergio, Almeida, Javier, Casares, Pablo, Stewart-Ray, Verlaine, Almaraz, Rene, Dayrell, Renata, Moncada, Ana, Pulido, Ricardo, Rodriquez, Roxana, Deeb, Wasim, Degoursey, Kathryn, Gloria, Rodel, Greene, Trevor, Miller, Robert, Pereira, Edward, Roura, Miguel, Domingo, Debbie, Dorestin, Sasha, Hodge, William, Jackson, Cathy, Lund, Deborah, Taylor, Katrina, Boren, Kenneth, Cleveland, Brittany, Gaiser, Sandra, Sahani, Mandeep, Aldrich, Logan, Edmerson, Exodu, Limon, Edmond, Valletta, Cole, Vasquez, Patricia, Provenzano, Christopher, Brar, Navkiranjot, Henderson, Heather, Keith, Bellovich, Khai, Qur, Khairullah, Quresh, Makos, Gail, Topf, Joel, Gasko, Sherry, Henschel, Rosemarie, Knapp, Kaitlin, Kozlowski, Teresa, Lafleur, Paula, Varughese, Ashwathy, Xue, Hui, Wu, Patricia, Arechiga, Olga, Darbeau, Shan, Fechter, Michael, Martinez, Stephanie, Hanson, Lenita, Cooper, Nyla, Madera, Areli, Cadorna, Jay, Sheridan, Rita, Sparks, Helen, Eilerman, Bradley, Bodine, Susanne, Eid, Wael, Flora, Rebecca, Avery, Amber, Hardy, Cashmere, Biscoveanu, Mihaela, Nagelberg, Steven, Cummins, Tracey, Rahbari-Oskoui, Frederic, Oommen, Anju, Forghani, Zohreh, Hitchcock, Stacie, Hosein, Darya, Watkins, Diane, Patel, Minesh, Lambert, Anthony, Newman, Elizabeth, Wood, Autumn, Ross, Tammy, Topping, Stephany, Mulhern, Jeffrey, Murphy, Lorna, Vasseur, Ann, Greenwood, Gregory, Hadley, Alexander, Laurienti, Denise, Marshall, Christopher, Mclean, Nichola, Satko, Scott, Caudill, Brandy, Maris, Jacob, Rogers, Janice, Vanhoy, Cindy, Thomas, George, Nakhoul, George, O'Toole, John, Taliercio, Jonathan, Cooperman, Leslie, Markovic, Marina, Tucky, Barbara, Dev, Devasmita, Hasan, Alia, Yalamanchili, Hima, Jain, Namita, Mcneil, Lesley, Wines, Eric, Park, Jean, Ghazi, Adline, Hamm, Mia, Patel, Teja, Mottl, Amy, Chang, Emily, Derebail, Vimal, Cole, Emmie, Froment, Anne, Kelley, Sara, Osmond Foster, Jordan, Mahabadi, Vahid, Jafari, Golriz, Kamarzarian, Anita, Arriaga, Wendy, Arteaga, Daisy, Machicado, Rosario, Naverrete, Genesi, Kumar, Prashant, Nazeer, Imran, Urquia, Karina, Glider, Tammi, Jones, Vickie, Rucker, Savannah, Wiley, Jennifer, Pandey, Rahul, Arroyo, Jesu, Pariani, Harish, Ahmad, Mohammad, Mozaffari, Shahin, Perez, Erika, Budoff, Matthew, Roy, Sion, Birudaraju, Divya, Ghanem, Ahmed, Hamal, Sajad, Aronoff, Stephen, Joye Petr, Elisa, Sachson, Richard, Wiebel, Jaime, Akram, Sana, Jones, Laurie, Knight, Curti, Tarlac, Maurie, Ahmed, Shahbaz, Szerlip, Harold, Akinfolarin, Akinwande, Mehta, Ankit, Camp, Shana, Castro, Cindy, Cooper, Zanaida, Terry, Jessica, Awad, Ahmed, Kothapalli, Bhavya, Lustig, Ryan, Alfaress, Serine, Jasim, Hyder, Parrigon, Mary, Karounos, Denni, Ahmed, Sadiq, Berry, Maggie, Oremus, Ruth, Hernandez-Cassis, Carlo, Ugwu, Elia, Junejo, Nazia, Suazo, Nancy, Segal, Mark, Kazory, Amir, Brown, Sherry, Daniels, Tristan, Dayi, Sofia, Hogan, Renee, Mccray, Kathy, Stickley, Jennifer, Rahman, Mahboob, Dobre, Mirela, Negrea, Lavinia, Padiyar, Aparna, Pradhan, Nishigandha, Rashidi, Arash, Sarabu, Nagaraju, Donley, Vicki, Young, Tricia, Oguchi, Godson, Onyema, Judepatrick, Damianik, Kahla, Dienes, Jack, Plummer-Morgan, Judith, Roman, Marilyn, Skipper, Mauver, Villaruel, Stacey-Ann, Williams, Krystle, Sugimoto, Danny, Dugas, Jeffrey, Ahmed, Ismeal, Bhairoo, Jamie, Rijos, Dolore, Salim, Huzaifa, Gavrila, Madita, Lafferty, Kathryn, Rabara, Ria, Ruse, Sally, Weetman, Maria, Bushnell, Jame, Power, Albert, Jenkins, Alison, Jones, Stefanie, Scott, Amanda, Byrne, Cath, Jesky, Mark, Cowley, Alison, Mchaffie, Emma, Waterfall, Holly, Taylor, Jo, Bough, Laura, Phillips, Thoma, Winter-Goodwin, Barbara, Phin Kon, Sui, Macdougall, Iain, Lioudaki, Eirini, Shah, Sapna, Sharpe, Claire, Aguilar, Francisco, Hernandez Pena, Abegail, Pugay, Conception, Te, Amelia, Finn, Hugh, Hanif, Wasim, Mostafa, Samiul, Aitken, Alice, Draxlbauer, Katharine, Grobovaite, Evelina, Kearney, Jennifer, Mccarthy, Theresa, Gentile, Giorgio, Browne, Duncan, Chellamuthu, Palanichamy, Dugal, Tabinda, Chant, Terri, Jones, Laura, Laity, Emily, Miners, Megan, Muir, Jame, Swanson, Elizabeth, Frankel, Andrew, Tomlinson, Jame, Alegata, Marlon, Almasarwah, Rashid, Apostolidi, Anthoula, Vourvou, Maria, Walters, Thoma, Taal, Maarten, Dukka, Hari, Kolhe, Nitin, Mcdonald, Carly, White, Kelly, Ugni, Shiva, Gunda, Smita, Oluyombo, Rotimi, Brindle, Vicki, Coutts, Ping, Fuller, Tracy, Nadar, Evelyn, Ramadoss, Suresh, Motherwell, Nichola, Pajak, Susannah, Tonks, Louise, Bhandari, Sunil, Bodington, Richard, Hazara, Adil, Fellowes, Dominic, Wong, Christopher, Goldsmith, Christopher, Barnes, Sherald, Bennett, Ann, Burston, Claire, Hope, Samantha, Hunt, Nicola, Kurian, Lini, Fish, Richard, Farrugia, Daniela, Lee, Judy, Sadler, Emma, Turner, Hannah, Hill, Christopher, Brown, Henry, Masengu, Agne, Maxwell, Peter, Bleakley, Nina, Murtagh, Hugh, Petchey, William, Yiu, Vivian, Kellett, Joanne, Williams, Angharad, Clarke, Helen, Carnall, Victoria, Benyon, Sarah, Blake, Caroline, Estcourt, Stephanie, Piper, Jane, Morgan, Neal, Hutchinson, Carolyn, Mckinley, Teresa, Woodman, Alastair, Graham, Judi, Leonard, Niall, Smyth, John, Adell, Vicki, Hagan, Samantha, Caplin, Ben, Oomatia, Amin, Damian, Eleanor, Sobande, Toluleyi, Doulton, Tim, Delaney, Michael, Montasser, Mahmoud, Hansen, Jenny, Loader, David, Moon, Angela, Morris, France, Sinha, Smeeta, Chukwu, Chukwuma, Hudson, Amy, Campbell, Diane, Kershaw, Melanie, Whittaker, Stephanie, Irtiza-Ali, Ayesha, Ghalli, Farid, Nosseir, Heba, Leslie, Allison, Trivedi, Kate, Fraser, Donald, Alhadj Ali, Mohammad, Griffin, Sian, Latif, Farah, Witczak, Justyna, Wonnacott, Alexa, Jeffers, Lynda, Webley, Yvette, Phelan, Paul, Miller-Hodges, Eve, Geddes, Ailsa, Glenwright, Margaret, Hunter, Amy, Pickett, Thoma, Moriarty, Jim, Hill, Linda, Tyler, Amanda, Ayub, Waqar, Evans, Gail, Hewins, Sue, Hewitt, Davina, Read, Kerry, Bell, Samira, Cosgrove, Leanne, Craik, Rachel, Murray, Shona, Bhandary, Nitin, Coles, Holly, Easow, Rashmi, Joseph, Maya, Khwaja, Arif, Jackson, Yvonne, Mbuyisa, Angeline, Sellars, Rachel, Chitalia, Nihil, Mohandas, Cynthia, Gherman, Anca, Kamundi, Charlotte, Olufuwa, Olumide, Mccafferty, Kieran, Adeleke, Adedolapo, Healy, Cara, Jeyarajah, Damini, Kinsella-Perks, Edward, Smith, Richard, Camilleri, Brian, Buckman, Carol, Finch, Jenny, Rivers, Vanessa, Connor, Andrew, Carr, Sheila, Shainberg, Lisa, Lewington, Andrew, Baker, Richard, Dorey, Suzannah, Tobin, Kay, Wheatley, Rosalyn, Banerjee, Debasish, Hull, Richard, Abat, Sharirose, Paul, Riny, Karim, Mahzuz, Htet, Zay, Tufail, Saad, Varma, Ravi, Convery, Karen, Fottrell-Gould, Deirdre, Hudig, Lisa, Tropman, Emily, Abdul-Samad, Thahir, Grace, Anne, Phipps, Marie, Suckling, Rebecca, Somalanka, Subash, Sood, Bhrigu, Swift, Pauline, Acheampong, Sarah, Ansu, Kwame, Augustin, Martia, Sampson, Anna, Vinall, Lynn, Wren, Kim, Wanninayake, Shamila, Wooding, Nichola, Edwards, Heather, Owen, Lydia, Bolton, Stephanie, Carson, Marion, Matthews, Michael, Brunskill, Nigel, Jesus-Silva, Jorge, Howson, Alex, Quashie-Akponeware, Mary, Tindall, Hilary, Nethaji, Chidambaram, Eldon, Helen, Patel, Rajan, Mark, Patrick, Rankin, Alastair, Sullivan, Michael, Forsyth, Kirsty, Mcdougall, Rowan, Dasgupta, Tanaji, Davies, Louisa, Ryder, Maggie, Grimmer, Philip, Macdonald, Clare, Webster, Mary, Newcastle, Newcastle, Ellam, Timothy, Wong, Edwin, Meshykhi, Christine, Webster, Andrea, Wilson, Peter, Vilar, Enric, Berdeprado, Jocelyn, Doctolero, Eunice, Wilkinson, Lily, Mccarroll, Frank, Ammar, Hesham, Kuan, Ying, Moran, Conor, Shivashankar, Girish, Campbell, Ryan, Glowski, Deborah, Mcdermott, Paula, Ali, Amar, Patel, Zuber, Bond, Christine, Whalley, Gillian, Zhang, Haitao, Yang, Liu, Zhang, Lihua, Kan, Tingting, Zhu, Ling, Zhao, Jinghong, Hou, Weiping, Wu, Jing, Cheng, Hong, Bian, Weijing, Zhao, Zhirui, Shao, Fengmin, Cao, Huixia, Jiao, Xiaojing, Niu, Peiyuan, Niu, Jianying, Chen, Yu, Zhang, Lihong, Zhu, Shenglang, Lin, Haiyan, Yao, Shaopeng, Chen, Jiehui, Jiang, Ying, Hu, Ying, Xiao, Huaying, Yang, Fuye, Zhang, Xinzhou, Guo, Baochun, Jin, Qiu, Liu, Lixia, Xiao, Xiangcheng, Xie, Yanyun, Meng, Ting, Xu, Chuanwen, Huang, Jie, Xu, Yanmei, Kong, Weixin, Wang, Xiaoliang, Liu, Qianpan, Wang, Xueying, Gao, Ming, Hu, Xiumei, Lu, Ying, Wang, Li, Peng, Kun, Wang, Wei, Gong, Qiuhong, Cai, Jianfang, Li, Xiaojue, Liu, Xuejiao, Zhou, Shuhan, Liu, Hong, Weng, Yao, Tang, Shuai, Yao, Yao, Zhao, Shi, Cheng, Chen, Wei, Wei, Li, Na, Aqashiah Mazlan, Sadanah, Zubaidah Bahtar, Alia, Katiman, Elliyyin, Othman, Noraini, Mushahar, Lily, Mazlan, Nurdiana, Sharafina Safiee, Nur, Ramasamy, Sarasa, Seng Wong, Hin, Ahmad Rosdi, Hajar, Zhao Zhi Tan, Esther, Fan Tay, Ju, Seng Teng, Kok, Yahaya, Hasnah, Jiun Liu, Wen, Wee Ee, Lik, Kay Leong Khoo, Kenneth, Mohd Yusoff, Yuana, Safhan Mohamad Nor, Fariz, Kamil Ahmad, Mohd, Ramli Seman, Mohd, Hui Hong Tan, Clare, Lui Sian Ngu, Laura, Yoke May Chan, Jaime, Peji, Javelin, Loong Loh, Chek, Yan Lee, Yee, Ramanaidu, Sridhar, Mean Thong, Kah, Hong Wong, Yik, Junus, Suria, Hua Ching, Chen, Faisal Asmee, Mohammad, Ruziana Ku Md Razi, Ku, Leong Low, Chun, Sze Bing Sim, Christopher, Duan Tham, Zhang, Kamila Abdullah, Noor, Meng Chen, Tai, Chieh Chan, Yong, Chang, Eason, Yean Kang, Huan, Quan Lee, Kai, Ann Lee, Sue, Kheng Lee, Aik, Vinathan, Jeevika, Abdul Cader, Rizna, Mustafar, Ruslinda, Kamaruzaman, Lydia, Mohd, Rozita, Ismail, Rahimah, Men Leong, Chong, Koon Low, Chee, Wei Wong, Liang, Adnan, Norlezah, Ibrahim, Sabariah, Zaimi Abdul Wahab, Mohamad, Bavanandan, Sunita, Shen Lim, Yik, Hazlina Wan Mohamad, Wan, Munirah Jaafar, Siti, Ashykeen Mohd Fauzi, Nur, Sudin, Aziee, Kun Lim, Soo, Chung Gan, Chye, Hing, Albert, Ahmad Faizal Alaidin Razali, Wan, Fong Liew, Yew, Bao Tyng Chan, Chelsia, Chih Cheng, Mei, Chen Ong, Yu, Meng Ong, Loke, Amalina Mohamed Affandi, Farah, Rahmat, Korina, Chai Peng, Ban, Amat, Masayu, Hadafi Ahmad, Nuzaimin, Yee Mah, Doo, Loon Tye, Yi, Azhari, Zaid, Nabilah Mohamad Zaini, Siti, Aidil Musa, Mohd, Ahmad Miswan, Norazinizah, Ramli, Rafizanur, Aziah Ahmad, Nor, Leong Goh, Bak, Izah Ahmad, Nurul, Huda Ibrahim, Fairol, Jian Ng, Tze, Shanmuganathan, Malini, Lian Tay, Li, Harun, Zaiha, Ramli, Salmi, 'Ain Yusof, Nurul, Abd Rahman, Rossenizal, Iqbal Abdul Hafidz, Muhammad, Hidayati Mohd Sharif, Nur, Yasmoon Awang, Irda, Nakashima, Eitaro, Imamine, Rui, Minatoguchi, Makiko, Miura, Yukari, Nakaoka, Miduki, Suzuki, Yoshiki, Yoshikawa, Hitomi, Shin, Koki, Fujita, Kanae, Iwasa, Misuzu, Sasajima, Haruka, Sato, Airi, Hamamoto, Yoshiyuki, Fujita, Yuki, Haraguchi, Takuya, Hyo, Takanori, Izumi, Kiyohiro, Komiya, Toshiyuki, Kubota, Sodai, Kurose, Takeshi, Kuwata, Hitoshi, Nakatani, Susumu, Oishi, Kaori, Okamoto, Saki, Okamura, Kaori, Takeoka, Jun, Tanaka, Nagaaki, Tanigaki, Katsuya, Toda, Naohiro, Watanabe, Koin, Komori, Hiromi, Kumuji, Rika, Takesada, Asako, Tanaka, Aya, Maruyama, Shoichi, Hasegawa, Tomonori, Ishiguro, Akiko, Ishimoto, Takuji, Ito, Kazuhiro, Kamimura, Yutaka, Kato, Noritoshi, Kato, Sawako, Kojima, Hiroshi, Kosugi, Tomoki, Maeda, Kayaho, Mizuno, Masasi, Saito, Shoji, Sato, Hitomi, Sato, Yuka, Suzuki, Yasuhiro, Tanaka, Akihito, Yasuda, Yoshinari, Hasegawa, Fujiko, Hayashi, Maiko, Higashi, Shizuka, Shimamura, Kaho, Sumi, Momoko, Tajima, Kazuki, Unekawa, Chimaki, Wakayama, Kana, Wakita, Yukiko, Otani, Takatoshi, Imai, Ayako, Kawashima, Sayaka, Kogure, Eri, Sato, Tomoe, Takezawa, Misato, Yoshida, Shinya, Araki, Hideo, Katsuda, Yuko, Konishi, Masahiro, Matsunaga, Takahiro, Oe, Masashi, Ogane, Kunihiro, Sakai, Masato, Takahashi, Tomoko, Yamano, Takahiro, Yokoyama, Takuya, Ito, Hitomi, Katayama, Masayo, Kuroda, Emi, Ikeda, Toru, Kojo, Takuma, Yoshidome, Etsuo, Mizumachi, Rieko, Yamamoto, Akane, Yamasaki, Narihisa, Yamasaki, Yoshihiko, Wada, Jun, Eguchi, Jun, Higuchi, Chigusa, Katayama, Akihiro, Kinomura, Masaru, Kitagawa, Masashi, Kitamura, Shinji, Miyamoto, Satoshi, Morinaga, Hiroshi, Nakatsuka, Atsuko, Nojima, Ichiro, Shikata, Kenichi, Sugiyama, Hitoshi, Tanabe, Katsuyuki, Tsuji, Kenji, Uchida, Haruhito, Watanabe, Mayu, Hashimoto, Chie, Kato, Takahiro, Yamamoto, Sayaka, Wada, Takehiko, Fukagawa, Masafumi, Hamano, Naoto, Koizumi, Masahiro, Komaba, Hirotaka, Nakagawa, Yosuke, Iwamoto, Michiyo, Masutani, Kosuke, Katanosaka, Akane, Kiyota, Mayu, Uchi, Hikari, Ueda, Yuka, Yamamoto, Sonoka, Nagasu, Hajime, Itano, Seiji, Iwakura, Tsukasa, Kadoya, Hiroyuki, Kanda, Eiichiro, Kashihara, Naoki, Kidokoro, Kengo, Kondo, Megumi, Sasaki, Tamaki, Satoh, Minoru, Tokuyama, Atsuyuki, Umeno, Reina, Wada, Yoshihisa, Yamamoto, Toshiya, Yamanouchi, Yu, Abe, Masumi, Inukai, Yoko, Ogawa, Wataru, Asahara, Shunichiro, Fujii, Hideki, Goto, Shunsuke, Hirota, Yushi, Hosooka, Tetsuya, Kono, Keiji, Nishi, Shinichi, Okada, Yuko, Sakaguchi, Kazuhiko, Sugawara, Kenji, Takahashi, Michiko, Takai, Tomoko, Tamori, Yoshikazu, Watanabe, Kentaro, Kitajima, Miyu, Nishi, Misaki, Wada, Junko, Ito, Yasuhiko, Kamiya, Hideki, Asai, Akimasa, Asai, Nao, Asano, Saeko, Banno, Shogo, Ejima, Yohei, Hase, Hanako, Hayami, Tomohide, Himeno, Tatsuhito, Ishikawa, Takahiro, Ito, Mayumi, Iwagaitsu, Shiho, Kasagi, Rina, Kato, Yoshiro, Kato, Makoto, Kato, Koichi, Katsuno, Takayuki, Kawai, Miyuka, Kinashi, Hiroshi, Kondo, Masaki, Koshino, Masako, Matsuoka, Naoya, Morishita, Yoshiaki, Motegi, Mikio, Nakamura, Jiro, Shimoda, Hiromi, Sugiyama, Hirokazu, Tsunekawa, Shin, Yamaguchi, Makoto, Takahashi, Kazuyo, Watada, Hirotaka, Funayama, Takashi, Furukawa, Yasuhiko, Gohda, Tomohito, Goto, Hiromasa, Kaga, Hideyoshi, Kanaguchi, Yasuhiko, Kanazawa, Akio, Kaneko, Kayo, Kano, Toshiki, Kihara, Masao, Kimura, Shogo, Kobayashi, Takashi, Maiguma, Masayuki, Makita, Yuko, Mano, Satoshi, Mita, Tomoya, Miyatsuka, Takeshi, Murakoshi, Maki, Muto, Masahiro, Nakata, Masami, Nakata, Junichiro, Nishida, Yuya, Nohara, Nao, Ogihara, Takeshi, Sato, Daisuke, Sato, Junko, Sato, Hiroaki, Suzuki, Yusuke, Suzuki, Ruka, Suzuki, Hitoshi, Takagi, Miyuki, Tamura, Yoshifumi, Uchida, Toyoyoshi, Ueda, Seiji, Asawa, Miki, Miyaji, Minako, Nagashima, Eri, Shibata, Yoshie, Yanagisawa, Eri, Yamauchi, Toshimasa, Hirakawa, Yosuke, Nishi, Hiroshi, Shojima, Nobuhiro, Horikawa, Satoko, Nakayama, Yukiko, Yamada, Naoko, Omori, Yuki, Yano, Shintaro, Ioka, Miyabi, Kuwabara, Nahoko, Nagano, Remi, Nozawa, Megumi, Osawa, Yumi, Maegawa, Hiroshi, Kume, Shinji, Araki, Shinichi, Miyazawa, Itsuko, Morino, Katsutaro, Kawai, Ikuko, Sobata, Masumi, Takaoka, Motoko, Iwaita, Yasushi, Udagawa, Takashi, Inamori, Ami, Kawase, Aya, Yamanaka, Aya, Shimano, Hitoshi, Fujita, Akiko, Iwasaki, Hitoshi, Kai, Hirayasu, Osaki, Yoshinori, Saito, Chie, Sekiya, Motohiro, Tsunoda, Ryoya, Yamagata, Kunihiro, Nakamura, Rikako, Yamada, Aiko, Ohsugi, Mitsuru, Awazawa, Motoharu, Bouchi, Ryotaro, Hashimoto, Shota, Hashimoto, Makiko, Hisatake, Tomoko, Ihana, Noriko, Ishizuka, Koko, Izumi, Kazuo, Kajio, Hiroshi, Kobayashi, Michi, Kodani, Noriko, Maruyama, Koji, Matsumoto, Michihiro, Matsushita, Maya, Nakamura, Tomoka, Sugiyama, Takehiro, Tanabe, Akiyo, Terakawa, Aiko, Ueki, Kojiro, Orimo, Yuko, Ozawa, Takako, Takahira, Eriko, Yamasaki, Yoshimitsu, Haneda, Masakazu, Tomita, Tadahiro, Akimoto, Saori, Fujimoto, Akihiro, Ishihara, Kenji, Murakami, Chiho, Nishiyama, Akiyo, Toyonaga, Yukiko, Uozumi, Kana, Yamaji, Yukihiro, Shigehara, Tetsuya, Okajyo, Jun, Shimizu, Yukihiro, Iwasaki, Shingo, Fukao, Yuki, Furusho, Megumi, Nunokawa, Shintaro, Katagiri, Hideki, Izumi, Tomohito, Kaneko, Keizo, Kodama, Shinjiro, Miyazaki, Mariko, Munakata, Yuichiro, Nagasawa, Tasuku, Oe, Yuji, Sugawara, Hiroto, Takahashi, Kei, Hirata, Kazushige, Inomata, Keiko, Otomo, Shoko, Uchida, Taeko, Yamashita, Chigusa, Kiyosue, Arihiro, Tamura, Ryota, Dube, Francoi, Bolduc, Marilene, Talbot, Marie-Christine, Cham, Leslie, Lai, Vesta, Tse, Josephine, Jolly, Shivinder, Duck, Tabbatha, Lyle, Scott, Epp, Rachel, Galloway, Camille, Haskett, Susan, Matvienko, Elizabeta, Paulsen, Liam, Moist, Louise, Lozon, Zabrina, Ramsey, Tina, Whitmore, Brittany, Al-Zeer, Bader, Macleod, Paula, O'Sullivan, Aoife, Sheriff, Zainab, Tholl, Sam, Pandey, Amritanshu, Armstrong, Samantha, Gebeyehu, Bethelihem, Toth, Patrick, Goldenberg, Ronald, Jahangiriesmaili, Mahsa, Sanguila, Shariff, Suresh, Neethi, Talsania, Tanvi, Zalunardo, Nadia, Agharazii, Mohsen, Roussel, Marie-Pier, Saillant, Annie, Samson, France, Bajaj, Harpreet, Bhavsar, Miken, Dhall, Parul, Dhillon, Gagandeep, Grewal, Bhupinder, Nimbkar, Taniya, Madore, Francoi, Marcotte, Guylaine, Steen, Oren, Bullen, Mathura, Raguwaran, Shayani, Valleteau, Andre, Langlois, Marie-France, Brown, Christine, Steele, Andrew, Garrity, Melissa, Ghate, Taneera, Robinson, Holly, Tolibas, Michael, Tailor, Chetna, Elliott, Lauren, McClary-Wright, Christine, Boreky, Fadia, Fikry, Sameh, Ali, Ayesha, Barot, Chintankumar, Basily, Wagdy, Saram, Thisun, Varad, Vinay, Khandwala, Hasnain, Aguilera, Alex, Alvarez, Patricia, Gill, Balwinder, Huda, Nazihah, Navivala, Aamir, Pinto, Daniel, Bevilacqua, Micheli, Fung, Elaine, Hernandez, Geraldine, Mann, Puneet, Saini, Jaskiran, Rabasa-Lhoret, Remi, Bovan, Danijela, Devaux, Marie, Barnini, Cecilia, Leoncini, Giovanna, Manco, Luca, Nobili, Giulia, Piemontese, Matteo, Aucella, Filippo, Grifa, Rachele, Totaro, Francesco, La Manna, Gaetano, Capelli, Irene, Cianciolo, Giuseppe, Lerario, Sarah, Zappulo, Fulvia, Rosati, Alberto, Fani, Filippo, Spatoliatore, Giuseppe, Gesualdo, Loreto, Pesce, Francesco, Russo, Maria, Zippo, Maria, Cafiero, Cesira, Motta, Daria, Bianco, Simona, Bilucaglia, Donatella, Messa, Piergiorgio, Pavone, Laura, Tripodi, Federica, Vettoretti, Simone, Fioretto, Paola, Carraro, Gianni, Farnia, Filippo, Postal, Anna, D'Amelio, Alessandro, Cardone, Antonio, Piccinni, Giovanni, Aloisi, Annalisa, Scolari, Francesco, Alberici, Federico, Guerini, Alice, Saccà, Chiara, Salviani, Chiara, Zani, Roberta, DE NICOLA, Luca, Garofalo, Carlo, Elena Liberti, Maria, Minutolo, Roberto, Pennino, Luigi, Polese, Lucio, Mené, Paolo, Barberi, Simona, Falcone, Clorinda, Russo, Francesco, Caroppo, Maurizio, Santorelli, Gennaro, Rivera, Rodolfo, Santoro, Domenico, Giuffrida, Alfio, Zirino, Fortunata, Calvi, Cristina, Estienne, Luca, Gambaro, Giovanni, Gangemi, Concetta, Ortalda, Vittorio, Pessolano, Giuseppina, Grandaliano, Giuseppe, Baccaro, Rocco, Ferraro, Pietro, Mangiacapra, Roberto, Melandri, Marco, Foligno, Nadia, Quartagno, Rita, Vezzoli, Giuseppe, Brioni, Elena, and Group, EMPA-KIDNEY Collaborative

Subjects
chronic renal disease, empagliflozin, empa-kidney, General Medicine
Abstract

Background The effects of empagliflozin in patients with chronic kidney disease who are at risk for disease progression are not well understood. The EMPA-KIDNEY trial was designed to assess the effects of treatment with empagliflozin in a broad range of such patients. Methods We enrolled patients with chronic kidney disease who had an estimated glomerular filtration rate (eGFR) of at least 20 but less than 45 ml per minute per 1.73 m2 of body-surface area, or who had an eGFR of at least 45 but less than 90 ml per minute per 1.73 m2 with a urinary albumin-to-creatinine ratio (with albumin measured in milligrams and creatinine measured in grams) of at least 200. Patients were randomly assigned to receive empagliflozin (10 mg once daily) or matching placebo. The primary outcome was a composite of progression of kidney disease (defined as end-stage kidney disease, a sustained decrease in eGFR to Results A total of 6609 patients underwent randomization. During a median of 2.0 years of follow-up, progression of kidney disease or death from cardiovascular causes occurred in 432 of 3304 patients (13.1%) in the empagliflozin group and in 558 of 3305 patients (16.9%) in the placebo group (hazard ratio, 0.72; 95% confidence interval [CI], 0.64 to 0.82; PConclusions Among a wide range of patients with chronic kidney disease who were at risk for disease progression, empagliflozin therapy led to a lower risk of progression of kidney disease or death from cardiovascular causes than placebo. (Funded by Boehringer Ingelheim and others; EMPA-KIDNEY ClinicalTrials.gov number, NCT03594110. opens in new tab; EudraCT number, 2017-002971-24. opens in new tab.)

Published
2023

31. Galectin-1 is associated with hematopoietic cell engraftment in murine MHC-mismatched allotransplantation.

Author

Shaikh A, Gangaplara A, Kone A, Almengo K, Kabore MD, Ali MAE, Xu X, Saxena A, Lopez-Ocasio M, McCoy JP, and Fitzhugh CD

Subjects
Animals, Mice, Mice, Inbred C57BL, Graft Rejection immunology, Transplantation, Homologous, Major Histocompatibility Complex immunology, Graft Survival immunology, Mice, Inbred BALB C, Immune Tolerance, Hematopoietic Stem Cell Transplantation, Galectin 1 immunology, Galectin 1 metabolism, T-Lymphocytes, Regulatory immunology
Abstract

Haploidentical hematopoietic cell transplantation (haplo-HCT) is associated with an increased risk of allograft rejection. Here, we employed a major histocompatibility complex (MHC)-mismatched allogeneic HCT (allo-HCT) murine model to better understand the role of Gal-1 in immune tolerance. Transplanted mice were classified into either rejected or engrafted based on donor chimerism levels. We noted significantly higher frequencies of CD4 + T cells, CD8 + T cells, natural killer cells, IFN-γ and TNF-α producing CD4 + T cells, and IFN-γ producing dendritic cells and macrophages in rejected mice. Conversely, we found significantly increased frequencies of regulatory T cells (Tregs), predominantly Helios + , IL-10-producing CD4 + T cells, type 1 regulatory (Tr1) cells, and the proportion of Tr1 + Gal-1 + cells in engrafted mice. Further, Gal-1 specific blockade in Tregs reduced suppression of effector T cells in engrafted mice. Lastly, effector T cells from engrafted mice were more prone to undergo apoptosis. Collectively, we have shown that Gal-1 may favor HSC engraftment in an MHC-mismatched murine model. Our results demonstrate that Gal-1-expressing Tregs, especially at earlier time points post-transplant, are associated with inducing immune tolerance and stable mixed chimerism after HCT., 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 Shaikh, Gangaplara, Kone, Almengo, Kabore, Ali, Xu, Saxena, Lopez-Ocasio, McCoy and Fitzhugh.)

Published
2024
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32. An epigenetically distinct HSC subset supports thymic reconstitution.

Author

Elias HK, Mitra S, da Silva MB, Rajagopalan A, Gipson B, Lee N, Kousa AI, Ali MAE, Grassman S, Zhang X, DeWolf S, Smith M, Andrlova H, Argyropoulos KV, Sharma R, Fei T, Sun JC, Dunbar CE, Park CY, Leslie CS, Bhandoola A, and van den Brink MRM

Abstract

Hematopoietic stem cells (HSCs) with multilineage potential are critical for effective T cell reconstitution and restoration of the adaptive immune system after allogeneic Hematopoietic Cell Transplantation (allo-HCT). The Kit lo subset of HSCs is enriched for multipotential precursors, 1, 2 but their T-cell lineage potential has not been well-characterized. We therefore studied the thymic reconstituting and T-cell potential of Kit lo HSCs. Using a preclinical allo-HCT model, we demonstrate that Kit lo HSCs support better thymic recovery, and T-cell reconstitution resulting in improved T cell responses to infection post-HCT. Furthermore, Kit lo HSCs with augmented BM lymphopoiesis mitigate age-associated thymic alterations, thus enhancing T-cell recovery in middle-aged hosts. We find the frequency of the Kit lo subset declines with age, providing one explanation for the reduced frequency of T-competent HSCs and reduced T-lymphopoietic potential in BM precursors of aged mice. 3, 4, 5 Chromatin profiling revealed that Kit lo HSCs exhibit higher activity of lymphoid-specifying transcription factors (TFs), including Zbtb1 . Deletion of Zbtb1 in Kit lo HSCs diminished their T-cell potential, while reinstating Zbtb1 in megakaryocytic-biased Kit hi HSCs rescued T-cell potential, in vitro and in vivo . Finally, we discover an analogous Kit lo HSC subset with enhanced lymphoid potential in human bone marrow. Our results demonstrate that Kit lo HSCs with enhanced lymphoid potential have a distinct underlying epigenetic program.

Published
2024
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33. Low dose post-transplant cyclophosphamide and sirolimus induce mixed chimerism with CTLA4-Ig or lymphocyte depletion in an MHC-mismatched murine allotransplantation model.

Author

Kabore MD, McElrath CC, Ali MAE, Almengo K, Gangaplara A, Fisher C, Barreto MA, Shaikh A, Olkhanud PB, Xu X, Gaskin D, Lopez-Ocasio M, Saxena A, McCoy JP, and Fitzhugh CD

Subjects
Animals, Mice, Hematopoietic Stem Cell Transplantation methods, Mice, Inbred BALB C, Transplantation Chimera, Transplantation, Homologous methods, Allografts, Cyclophosphamide pharmacology, Sirolimus pharmacology, Abatacept pharmacology, Abatacept therapeutic use, Lymphocyte Depletion
Abstract

Allogeneic hematopoietic cell transplantation (allo-HCT) offers a curative option for patients with certain non-malignant hematological diseases. High-dose post-transplant cyclophosphamide (PT-Cy) (200 mg/kg) and sirolimus (3 mg/kg), (HiC) synergistically induce stable mixed chimerism. Further, sirolimus and cytotoxic T lymphocyte-associated antigen-4 immunoglobulin (CTLA4-Ig), also known as Abatacept (Aba), promote immune tolerance and allograft survival. Here, in a major histocompatibility complex (MHC)-mismatched allo-HCT murine model, we combined Aba and/or T-cell depleting anti-Thy1.2 (Thy) with a lower dose of PT-Cy (50 mg/kg) and Sirolimus (3 mg/kg), (LoC). While mice in the LoC group showed graft rejection, the addition of Thy to LoC induced similar donor chimerism levels when compared to the HiC group. However, the addition of Aba to LoC led to graft acceptance only in younger mice. When Thy was added to the LoC+Aba setting, graft acceptance was restored in both age groups. Engrafted groups displayed significantly reduced frequencies of recipient-specific interferon-γ-producing T cells as well as an increased frequency in regulatory T cells (Tregs) except in the LoC+Aba group. Splenocytes from engrafted mice showed no proliferation upon restimulation with Balb/c stimulators. Collectively, in combination with Aba or Thy, LoC may be considered to reduce graft rejection in patients who undergo allo-HCT., (© 2024. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.)

Published
2024
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35. The Effect of Diet Composition on the Post-operative Outcomes of Roux-en-Y Gastric Bypass in Mice.

Author

Stevenson M, Srivastava A, Nacher M, Hall C, Palaia T, Lee J, Zhao CL, Lau R, Ali MAE, Park CY, Schlamp F, Heffron SP, Fisher EA, Brathwaite C, and Ragolia L

Subjects
Mice, Animals, Obesity surgery, Obesity metabolism, Diet, High-Fat, Non-alcoholic Fatty Liver Disease, Gastric Bypass methods, Obesity, Morbid surgery, Dyslipidemias
Abstract

Purpose: Roux-en-Y gastric bypass (RYGB) leads to the improvement of many obesity-associated conditions. The degree to which post-operative macronutrient composition contributes to metabolic improvement after RYGB is understudied., Methods: A mouse model of RYGB was used to examine the effects of diet on the post-operative outcomes of RYGB. Obese mice underwent either Sham or RYGB surgery and were administered either chow or HFD and then monitored for an additional 8 weeks., Results: After RYGB, reductions to body weight, fat mass, and lean mass were similar regardless of diet. RYGB and HFD were independently detrimental to bone mineral density and plasma vitamin D levels. Independent of surgery, HFD accelerated hematopoietic stem and progenitor cell proliferation and differentiation and exhibited greater myeloid lineage commitment. Independent of diet, systemic iron deficiency was present after RYGB. In both Sham and RYGB groups, HFD increased energy expenditure. RYGB increased fecal energy loss, and HFD after RYGB increased fecal lipid content. RYGB lowered fasting glucose and liver glycogen levels but HFD had an opposing effect. Indices of insulin sensitivity improved independent of diet. HFD impaired improvements to dyslipidemia, NAFLD, and fibrosis., Conclusion: Post-operative diet plays a significant role in determining the degree to which RYGB reverses obesity-induced metabolic abnormalities such as hyperglycemia, dyslipidemia, and NAFLD. Diet composition may be targeted in order to assist in the treatment of post-RYGB bone mineral density loss and vitamin D deficiency as well as to reverse myeloid lineage commitment. HFD after RYGB continues to pose a significant multidimensional health risk., (© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Published
2024
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36. Loss of Notch signaling in skeletal stem cells enhances bone formation with aging.

Author

Remark LH, Leclerc K, Ramsukh M, Lin Z, Lee S, Dharmalingam B, Gillinov L, Nayak VV, El Parente P, Sambon M, Atria PJ, Ali MAE, Witek L, Castillo AB, Park CY, Adams RH, Tsirigos A, Morgani SM, and Leucht P

Subjects
Animals, Mice, Adiposity, Aging genetics, Arthrodesis, Mice, Knockout, Psychomotor Agitation, Osteogenesis genetics, Adipocytes
Abstract

Skeletal stem and progenitor cells (SSPCs) perform bone maintenance and repair. With age, they produce fewer osteoblasts and more adipocytes leading to a loss of skeletal integrity. The molecular mechanisms that underlie this detrimental transformation are largely unknown. Single-cell RNA sequencing revealed that Notch signaling becomes elevated in SSPCs during aging. To examine the role of increased Notch activity, we deleted Nicastrin, an essential Notch pathway component, in SSPCs in vivo. Middle-aged conditional knockout mice displayed elevated SSPC osteo-lineage gene expression, increased trabecular bone mass, reduced bone marrow adiposity, and enhanced bone repair. Thus, Notch regulates SSPC cell fate decisions, and moderating Notch signaling ameliorates the skeletal aging phenotype, increasing bone mass even beyond that of young mice. Finally, we identified the transcription factor Ebf3 as a downstream mediator of Notch signaling in SSPCs that is dysregulated with aging, highlighting it as a promising therapeutic target to rejuvenate the aged skeleton., (© 2023. West China School of Stomatology Sichuan University.)

Published
2023
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37. Mitotic CDK1 and 4E-BP1 I: Loss of 4E-BP1 serine 82 phosphorylation promotes proliferative polycystic disease and lymphoma in aged or sublethally irradiated mice.

Author

Sun R, Guo S, Shuda Y, Chakka AB, Rigatti LH, Zhao G, Ali MAE, Park CY, Chandran U, Yu J, Bakkenist CJ, Shuda M, Moore PS, and Chang Y

Subjects
Mice, Animals, Phosphorylation, Serine metabolism, Phosphoproteins metabolism, Cell Cycle Proteins genetics, Cell Cycle Proteins metabolism, CDC2 Protein Kinase genetics, CDC2 Protein Kinase metabolism, Lymphoma genetics
Abstract

4E-BP1 is a tumor suppressor regulating cap-dependent translation that is in turn controlled by mechanistic target of rapamycin (mTOR) or cyclin-dependent kinase 1 (CDK1) phosphorylation. 4E-BP1 serine 82 (S82) is phosphorylated by CDK1, but not mTOR, and the consequences of this mitosis-specific phosphorylation are unknown. Knock-in mice were generated with a single 4E-BP1 S82 alanine (S82A) substitution leaving other phosphorylation sites intact. S82A mice were fertile and exhibited no gross developmental or behavioral abnormalities, but the homozygotes developed diffuse and severe polycystic liver and kidney disease with aging, and lymphoid malignancies after irradiation. Sublethal irradiation caused immature T-cell lymphoma only in S82A mice while S82A homozygous mice have normal T-cell hematopoiesis before irradiation. Whole genome sequencing identified PTEN mutations in S82A lymphoma and impaired PTEN expression was verified in S82A lymphomas derived cell lines. Our study suggests that the absence of 4E-BP1S82 phosphorylation, a subtle change in 4E-BP1 phosphorylation, might predispose to polycystic proliferative disease and lymphoma under certain stressful circumstances, such as aging and irradiation., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2023 Sun et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Published
2023
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38. Imeglimin in type 2 diabetes.

Author

Huston J, Schaffner H, Langley L, Skrable B, Ashchi A, Berner J, Gore A, Sheikh-Ali M, Sutton D, and Goldfaden R

Subjects
Blood Glucose metabolism, Humans, Japan, Triazines therapeutic use, United States, Diabetes Mellitus, Type 2
Abstract

Type 2 diabetes mellitus is a chronic disease most often characterized by increased glucose levels. When blood glucose levels are inadequately controlled or left untreated, the result is a variety of microvascular and macrovascular complications. To prevent these outcomes, many medications are available to manage type 2 diabetes mellitus and prevent disease progression. However, most of the medications available to date only target a few of the physiological defects caused by diabetes and may come with side effects that make adherence to the medication improbable. Imeglimin, a medication currently under investigation in the United States and approved in Japan, is a novel, first-in-its-class medication with a mechanism that is currently understood to target multiple pathways to provide glycemic control. This review aims to present and discuss the current clinical and scientific evidence pertaining to imeglimin., (Copyright 2022 Clarivate.)

Published
2022
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39. High-valency Anti-CD99 Antibodies Toward the Treatment of T Cell Acute Lymphoblastic Leukemia.

Author

Romero LA, Hattori T, Ali MAE, Ketavarapu G, Koide A, Park CY, and Koide S

Subjects
12E7 Antigen antagonists & inhibitors, Adult, Child, Humans, 12E7 Antigen immunology, Antibodies chemistry, Antibodies immunology, Antibodies therapeutic use, Precursor T-Cell Lymphoblastic Leukemia-Lymphoma immunology, Precursor T-Cell Lymphoblastic Leukemia-Lymphoma therapy
Abstract

T-cell acute lymphoblastic leukemia (T-ALL) is an aggressive form of leukemia that currently requires intensive chemotherapy. While childhood T-ALL is associated with high cure rates, adult T-ALL is not, and both are associated with significant short- and long-term morbidities. Thus, less toxic and effective strategies to treat T-ALL are needed. CD99 is overexpressed on T-ALL blasts at diagnosis and at relapse. Although targeting CD99 with cytotoxic antibodies has been proposed, the molecular features required for their activity are undefined. We identified human antibodies that selectively bound to the extracellular domain of human CD99, and the most potent clone, 10A1, shared an epitope with a previously described cytotoxic IgM antibody. We engineered clone 10A1 in bivalent, trivalent, tetravalent, and dodecavalent formats. Increasing the antibody valency beyond two had no effects on binding to T-ALL cells. In contrast, a valency of ≥3 was required for cytotoxicity, suggesting a mechanism of action in which an antibody clusters ≥3 CD99 molecules to induce cytotoxicity. We developed a human IgG-based tetravalent version of 10A1 that exhibited cytotoxic activity to T-ALL cells but not to healthy peripheral blood cells. The crystal structure of the 10A1 Fab in complex with a CD99 fragment revealed that the antibody primarily recognizes a proline-rich motif (PRM) of CD99 in a manner reminiscent of SH3-PRM interactions. This work further validates CD99 as a promising therapeutic target in T-ALL and defines a pathway toward the development of a selective therapy against T-ALL., Competing Interests: Conflict of interest LAR, TH, CYP and SK are listed as inventors of a patent application filed by New York University (US 63/174,131) related to this study. S.K. is a scientific advisory board member and holds equity in and receives consulting fees from Black Diamond Therapeutics and receives research funding from Puretech Health and Argenx BVBA., (Copyright © 2021 The Author(s). Published by Elsevier Ltd.. All rights reserved.)

Published
2022
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41. Hematopoietic Stem and Progenitor Cells Exhibit Stage-Specific Translational Programs via mTOR- and CDK1-Dependent Mechanisms.

Author

Spevak CC, Elias HK, Kannan L, Ali MAE, Martin GH, Selvaraj S, Eng WS, Ernlund A, Rajasekhar VK, Woolthuis CM, Zhao G, Ha CJ, Schneider RJ, and Park CY

Subjects
Hematopoietic Stem Cells, Signal Transduction, TOR Serine-Threonine Kinases, Hematopoietic Stem Cell Transplantation, Proteomics
Abstract

Hematopoietic stem cells (HSCs) require highly regulated rates of protein synthesis, but it is unclear if they or lineage-committed progenitors preferentially recruit transcripts to translating ribosomes. We utilized polysome profiling, RNA sequencing, and whole-proteomic approaches to examine the translatome in LSK (Lin - Sca-1 + c-Kit + ) and myeloid progenitor (MP; Lin - Sca-1 - c-Kit + ) cells. Our studies show that LSKs exhibit low global translation but high translational efficiencies (TEs) of mRNAs required for HSC maintenance. In contrast, MPs activate translation in an mTOR-independent manner due, at least in part, to proteasomal degradation of mTOR by the E3 ubiquitin ligase c-Cbl. In the near absence of mTOR, CDK1 activates eIF4E-dependent translation in MPs through phosphorylation of 4E-BP1. Aberrant activation of mTOR expression and signaling in c-Cbl-deficient MPs results in increased mature myeloid lineage output. Overall, our data demonstrate that hematopoietic stem and progenitor cells (HSPCs) undergo translational reprogramming mediated by previously uncharacterized mechanisms of translational regulation., Competing Interests: Declaration of Interests The authors declare no competing interests., (Copyright © 2019 Elsevier Inc. All rights reserved.)

Published
2020
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42. Clinical outcomes among hospital patients with Middle East respiratory syndrome coronavirus (MERS-CoV) infection.

Author

Habib AMG, Ali MAE, Zouaoui BR, Taha MAH, Mohammed BS, and Saquib N

Subjects
Adult, Aged, Antiviral Agents therapeutic use, Cohort Studies, Coronavirus Infections complications, Female, Humans, Inpatients statistics & numerical data, Interferon-alpha therapeutic use, Logistic Models, Male, Middle Aged, Middle East Respiratory Syndrome Coronavirus genetics, Pneumonia drug therapy, Pneumonia, Viral drug therapy, Pneumonia, Viral etiology, Pneumonia, Viral mortality, Polymerase Chain Reaction, Ribavirin therapeutic use, Saudi Arabia epidemiology, Treatment Outcome, Coronavirus Infections drug therapy, Coronavirus Infections mortality, Hospital Mortality
Abstract

Background: Mortality is high among patients with Middle East Respiratory Syndrome Coronavirus (MERS-CoV) infection. We aimed to determine hospital mortality and the factors associated with it in a cohort of MERS-CoV patients., Methods: We reviewed hospital records of confirmed cases (detection of virus by polymerase chain reaction from respiratory tract samples) of MERS-CoV patients (n = 63) admitted to Buraidah Central Hospital in Al-Qassim, Saudi Arabia between 2014 and 2017. We abstracted data on demography, vital signs, associated conditions presented on admission, pre-existing chronic diseases, treatment, and vital status. Bi-variate comparisons and multiple logistic regressions were the choice of data analyses., Results: The mean age was 60 years (SD = 18.2); most patients were male (74.6%) and Saudi citizens (81%). All but two patients were treated with Ribavirin plus Interferon. Hospital mortality was 25.4%. Patients who were admitted with septic shock and/or organ failure were significantly more likely to die than patients who were admitted with pneumonia and/or acute respiratory distress syndrome (OR = 47.9, 95% CI = 3.9, 585.5, p-value 0.002). Age, sex, and presence of chronic conditions were not significantly associated with mortality., Conclusion: Hospital mortality was 25%; septic shock/organ failure at admittance was a significant predictor of mortality.

Published
2019
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43. CRISPR-Cas9-mediated gene knockout in intestinal tumor organoids provides functional validation for colorectal cancer driver genes.

Author

Takeda H, Kataoka S, Nakayama M, Ali MAE, Oshima H, Yamamoto D, Park JW, Takegami Y, An T, Jenkins NA, Copeland NG, and Oshima M

Subjects
Animals, Cell Line, Tumor, Humans, Mice, Mice, Inbred NOD, CRISPR-Cas Systems, Colorectal Neoplasms genetics, Colorectal Neoplasms metabolism, Colorectal Neoplasms pathology, Gene Expression Profiling, Gene Knockout Techniques, Neoplasm Proteins biosynthesis, Neoplasm Proteins genetics, Organoids metabolism, Organoids pathology
Abstract

Colorectal cancer (CRC) is the third leading cause of cancer-related deaths worldwide. Several genome sequencing studies have provided comprehensive CRC genomic datasets. Likewise, in our previous study, we performed genome-wide Sleeping Beauty transposon-based mutagenesis screening in mice and provided comprehensive datasets of candidate CRC driver genes. However, functional validation for most candidate CRC driver genes, which were commonly identified from both human and mice, has not been performed. Here, we describe a platform for functionally validating CRC driver genes that utilizes CRISPR-Cas9 in mouse intestinal tumor organoids and human CRC-derived organoids in xenograft mouse models. We used genetically defined benign tumor-derived organoids carrying 2 frequent gene mutations ( Apc and Kras mutations), which act in the early stage of CRC development, so that we could clearly evaluate the tumorigenic ability of the mutation in a single gene. These studies showed that Acvr1b , Acvr2a , and Arid2 could function as tumor suppressor genes (TSGs) in CRC and uncovered a role for Trp53 in tumor metastasis. We also showed that co-occurrent mutations in receptors for activin and transforming growth factor-β (TGF-β) synergistically promote tumorigenesis, and shed light on the role of activin receptors in CRC. This experimental system can also be applied to mouse intestinal organoids carrying other sensitizing mutations as well as organoids derived from other organs, which could further contribute to identification of novel cancer driver genes and new drug targets., Competing Interests: The authors declare no conflict of interest.

Published
2019
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44. Functional dissection of hematopoietic stem cell populations with a stemness-monitoring system based on NS-GFP transgene expression.

Author

Ali MAE, Fuse K, Tadokoro Y, Hoshii T, Ueno M, Kobayashi M, Nomura N, Vu HT, Peng H, Hegazy AM, Masuko M, Sone H, Arai F, Tajima A, and Hirao A

Subjects
Animals, Biomarkers, Cell Differentiation genetics, Cell Lineage genetics, Cell Separation methods, Colony-Forming Units Assay, Computational Biology methods, Gene Expression Profiling, Hematopoiesis, Immunophenotyping, Mice, Mice, Transgenic, Recombinant Fusion Proteins, Single-Cell Analysis, Cell Self Renewal, Gene Expression, Genes, Reporter, Hematopoietic Stem Cells cytology, Hematopoietic Stem Cells metabolism, Transgenes
Abstract

Hematopoietic stem cells (HSCs) in a steady state can be efficiently purified by selecting for a combination of several cell surface markers; however, such markers do not consistently reflect HSC activity. In this study, we successfully enriched HSCs with a unique stemness-monitoring system using a transgenic mouse in which green florescence protein (GFP) is driven by the promoter/enhancer region of the nucleostemin (NS) gene. We found that the phenotypically defined long-term (LT)-HSC population exhibited the highest level of NS-GFP intensity, whereas NS-GFP intensity was strongly downregulated during differentiation in vitro and in vivo. Within the LT-HSC population, NS-GFP high cells exhibited significantly higher repopulating capacity than NS-GFP low cells. Gene expression analysis revealed that nine genes, including Vwf and Cdkn1c (p57), are highly expressed in NS-GFP high cells and may represent a signature of HSCs, i.e., a stemness signature. When LT-HSCs suffered from remarkable stress, such as transplantation or irradiation, NS-GFP intensity was downregulated. Finally, we found that high levels of NS-GFP identified HSC-like cells even among CD34 + cells, which have been considered progenitor cells without long-term reconstitution ability. Thus, high NS-GFP expression represents stem cell characteristics in hematopoietic cells, making this system useful for identifying previously uncharacterized HSCs.

Published
2017
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45. Can serum beta-hydroxybutyrate be used to diagnose diabetic ketoacidosis?

Author

Sheikh-Ali M, Karon BS, Basu A, Kudva YC, Muller LA, Xu J, Schwenk WF, and Miles JM

Subjects
Adolescent, Adult, Bicarbonates blood, Biomarkers blood, Blood Glucose analysis, Child, Diabetes Mellitus, Type 1 blood, Diabetes Mellitus, Type 2 blood, Diabetic Ketoacidosis blood, Humans, Inpatients, Ketone Bodies urine, Retrospective Studies, Sensitivity and Specificity, 3-Hydroxybutyric Acid blood, Diabetic Ketoacidosis diagnosis, Ketone Bodies blood
Abstract

Objective: Current criteria for the diagnosis of diabetic ketoacidosis (DKA) are limited by their nonspecificity (serum bicarbonate [HCO(3)] and pH) and qualitative nature (the presence of ketonemia/ketonuria). The present study was undertaken to determine whether quantitative measurement of a ketone body anion could be used to diagnose DKA., Research Design and Methods: A retrospective review of records from hospitalized diabetic patients was undertaken to determine the concentration of serum beta-hydroxybutyrate (betaOHB) that corresponds to a HCO(3) level of 18 mEq/l, the threshold value for diagnosis in recently published consensus criteria. Simultaneous admission betaOHB and HCO(3) values were recorded from 466 encounters, 129 in children and 337 in adults., Results: A HCO(3) level of 18 mEq/l corresponded with betaOHB levels of 3.0 and 3.8 mmol/l in children and adults, respectively. With the use of these threshold betaOHB values to define DKA, there was substantial discordance (approximately > or = 20%) between betaOHB and conventional diagnostic criteria using HCO(3), pH, and glucose. In patients with DKA, there was no correlation between HCO(3) and glucose levels on admission and a significant but weak correlation between betaOHB and glucose levels (P < 0.001)., Conclusions: Where available, serum betaOHB levels > or = 3.0 and > or = 3.8 mmol/l in children and adults, respectively, in the presence of uncontrolled diabetes can be used to diagnose DKA and may be superior to the serum HCO(3) level for that purpose. The marked variability in the relationship between betaOHB and HCO(3) is probably due to the presence of other acid-base disturbances, especially hyperchloremic, nonanion gap acidosis.

Published
2008
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