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3. Prediagnostic transcriptomic markers of Chronic lymphocytic leukemia reveal perturbations 10 years before diagnosis

Author

Chadeau-Hyam, M, Vermeulen, RCH, Hebels, DGAJ, Castagné, R, Campanella, G, Portengen, L, Kelly, RS, Bergdahl, IA, Melin, B, Hallmans, G, Palli, D, Krogh, V, Tumino, R, Sacerdote, C, Panico, S, de Kok, TMCM, Smith, MT, Kleinjans, JCS, Vineis, P, Kyrtopoulos, SA, consortium, on behalf of the EnviroGenoMarkers project, Georgiadis, P, Botsivali, M, Papadopoulou, C, Chatziioannou, A, Valavanis, I, Gottschalk, R, van Leeuwen, D, Timmermans, L, Keun, HC, Athersuch, TJ, Lenner, P, Bendinelli, B, Stephanou, EG, Myridakis, A, Kogevinas, M, Saberi-Hosnijeh, F, Fazzo, L, de Santis, M, Comba, P, Kiviranta, H, Rantakokko, P, Airaksinen, R, Ruokojarvi, P, Gilthorpe, MS, Fleming, S, Fleming, T, Tu, Y-K, Jonsson, B, Lundh, T, Chien, K-L, Chen, WJ, Lee, W-C, Hsiao, CK, Kuo, P-H, Hung, H, and Liao, S-F

Subjects
Genetic Testing, Lymphoma, Orphan Drug, Genetics, Hematology, Cancer, Rare Diseases, Clinical Research, 2.1 Biological and endogenous factors, Aetiology, Adult, Aged, Biomarkers, Tumor, Case-Control Studies, Female, Genome, Human, Humans, Leukemia, Lymphocytic, Chronic, B-Cell, Male, Middle Aged, Models, Genetic, Principal Component Analysis, Prospective Studies, Transcriptome, epidemiology, lymphoma, chronic lymphocytic leukemia, mRNA analyses, prospective cohort, EnviroGenoMarkers project consortium, Oncology and Carcinogenesis, Oncology & Carcinogenesis
Abstract

BackgroundB-cell lymphomas are a diverse group of hematological neoplasms with differential etiology and clinical trajectories. Increased insights in the etiology and the discovery of prediagnostic markers have the potential to improve the clinical course of these neoplasms.MethodsWe investigated in a prospective study global gene expression in peripheral blood mononuclear cells of 263 incident B-cell lymphoma cases, diagnosed between 1 and 17 years after blood sample collection, and 439 controls, nested within two European cohorts.ResultsOur analyses identified only transcriptomic markers for specific lymphoma subtypes; few markers of multiple myeloma (N = 3), and 745 differentially expressed genes in relation to future risk of chronic lymphocytic leukemia (CLL). The strongest of these associations were consistently found in both cohorts and were related to (B-) cell signaling networks and immune system regulation pathways. CLL markers exhibited very high predictive abilities of disease onset even in cases diagnosed more than 10 years after blood collection.ConclusionsThis is the first investigation on blood cell global gene expression and future risk of B-cell lymphomas. We mainly identified genes in relation to future risk of CLL that are involved in biological pathways, which appear to be mechanistically involved in CLL pathogenesis. Many but not all of the top hits we identified have been reported previously in studies based on tumor tissues, therefore suggesting that a mixture of preclinical and early disease markers can be detected several years before CLL clinical diagnosis.

Published
2014

7. Prediagnostic transcriptomic markers of Chronic lymphocytic leukemia reveal perturbations 10 years before diagnosis

Author

Georgiadis, P., Botsivali, M., Papadopoulou, C., Chatziioannou, A., Valavanis, I., Gottschalk, R., van Leeuwen, D., Timmermans, L., Keun, H.C., Athersuch, T.J., Lenner, P., Bendinelli, B., Stephanou, E.G., Myridakis, A., Kogevinas, M., Saberi-Hosnijeh, F., Fazzo, L., de Santis, M., Comba, P., Kiviranta, H., Rantakokko, P., Airaksinen, R., Ruokojarvi, P., Gilthorpe, M.S., Fleming, S., Fleming, T., Tu, Y.-K., Jonsson, B., Lundh, T., Chien, K.-L., Chen, W.J., Lee, W.-C., Hsiao, C.K., Kuo, P.-H., Hung, H., Liao, S.-F., Chadeau-Hyam, M., Vermeulen, R.C.H., Hebels, D.G.A.J., Castagné, R., Campanella, G., Portengen, L., Kelly, R.S., Bergdahl, I.A., Melin, B., Hallmans, G., Palli, D., Krogh, V., Tumino, R., Sacerdote, C., Panico, S., de Kok, T.M.C.M., Smith, M.T., Kleinjans, J.C.S., Vineis, P., and Kyrtopoulos, S.A.

Published
2014
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9. Impact of Placenta-Derived Mesenchymal Stem Cells on Patients with Severe Lung Injury Caused by COVID-19 Pneumonia: Clinical, Serum Cytokine and Immune Aspect

Author

Chen, M.C., primary, Lai, K.S.-L., additional, Chien, K.-L., additional, Teng, S.-T., additional, Lin, Y.-J., additional, Chao, W., additional, Lee, M.-J., additional, Wei, P.-L., additional, Huang, Y.-H., additional, Kuo, H.-P., additional, Weng, C.-M., additional, and Chou, C.-L., additional

Published
2022
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11. Circulating n-3 fatty acid levels and total and cause-specific mortality: A de novo pooled analysis from 17 prospective studies

Author

Harris, WS, Tintle, NL, Imamura, Fumiaki, Qian, F, Ardisson Korat, AV, Marklund, M, Djousse, L, Bassett, JK, Carmichael, P-H, Chen, Y-Y, Hirakawa, Y, Küpers, LK, Laguzzi, F, Lankinen, M, Murphy, RA, Samieri, C, Senn, MK, Shi, P, Virtanen, JK, Brouwer, IA, Chien, K-L, Eiriksdottir, G, Forouhi, Nita, Geleijnse, JM, Giles, GG, Gudnason, V, Helmer, C, Hodge, A, Jackson, R, Khaw, K, Laakso, M, Lai, H, Laurin, D, Leander, K, Lindsay, J, Micha, R, Mursu, J, Ninomiya, T, Post, W, Psaty, BM, Risérus, U, Robinson, JG, Shadyab, AH, Snetselaar, L, Sala-Vila, A, Sun, Y, Steffen, LM, Tsai, MY, Wareham, Nicholas, Wood, AC, Wu, JHY, Hu, F, Sun, Q, Siscovick, DS, Lemaitre, RN, Mozaffarian, D, Imamura, Fumiaki [0000-0002-6841-8396], Forouhi, Nita [0000-0002-5041-248X], Wareham, Nicholas [0000-0003-1422-2993], and Apollo - University of Cambridge Repository

Abstract

The health effects of omega-3 fatty acids (n-3 FAs) have been controversial. A de novo pooled analysis was conducted with 17 prospective cohort studies examining the associations between blood n-3 FAs levels and risk for all-cause mortality. Over a median of 15 years of follow-up, 15,720 deaths occurred among 42,466 individuals. After adjustment for relevant risk factors, risk for death from all causes was significantly lower (by 15-18%) in the highest vs the lowest quintile for circulating long chain (20-22 carbon) n-3 FAs, but not for the 18-carbon n-3 FA. These novel findings suggest that higher circulating levels of marine n-3 PUFA may be associated with a lower risk of premature death., The EPIC Norfolk study (DOI 10.22025/2019.10.105.00004) has received funding from the Medical Research Council (MR/N003284/1 and MC-UU_12015/1) and Cancer Research UK (C864/A14136). NJW, NGF, and FI were supported by the Medical Research Council Epidemiology Unit core funding [MC_UU_12015/1 and MC_UU_12015/5]. NJW and NGF acknowledge support from the National Institute for Health Research Cambridge Biomedical Research Centre [IS-BRC-1215-20014] and NJW is an NIHR Senior Investigator.

Published
2021
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12. Fatty acids in the de novo lipogenesis pathway and incidence of type 2 diabetes: A pooled analysis of prospective cohort studies.

Author

Imamura F., Fretts A.M., Marklund M., Ardisson Korat A.V., Yang W.-S., Lankinen M., Qureshi W., Helmer C., Chen T.-A., Virtanen J.K., Wong K., Bassett J.K., Murphy R., Tintle N., Yu C.I., Brouwer I.A., Chien K.-L., Chen Y.-Y., Wood A.C., del Gobbo L.C., Djousse L., Geleijnse J.M., Giles G.G., de Goede J., Gudnason V., Harris W.S., Hodge A., Hu F., Koulman A., Laakso M., Lind L., Lin H.-J., McKnight B., Rajaobelina K., Riserus U., Robinson J.G., Samieri C., Senn M., Siscovick D.S., Soedamah-Muthu S.S., Sotoodehnia N., Sun Q., Tsai M.Y., Tuomainen T.-P., Uusitupa M., Wagenknecht L.E., Wareham N.J., Wu J.H.Y., Micha R., Lemaitre R.N., Mozaffarian D., Forouhi N.G., Imamura F., Fretts A.M., Marklund M., Ardisson Korat A.V., Yang W.-S., Lankinen M., Qureshi W., Helmer C., Chen T.-A., Virtanen J.K., Wong K., Bassett J.K., Murphy R., Tintle N., Yu C.I., Brouwer I.A., Chien K.-L., Chen Y.-Y., Wood A.C., del Gobbo L.C., Djousse L., Geleijnse J.M., Giles G.G., de Goede J., Gudnason V., Harris W.S., Hodge A., Hu F., Koulman A., Laakso M., Lind L., Lin H.-J., McKnight B., Rajaobelina K., Riserus U., Robinson J.G., Samieri C., Senn M., Siscovick D.S., Soedamah-Muthu S.S., Sotoodehnia N., Sun Q., Tsai M.Y., Tuomainen T.-P., Uusitupa M., Wagenknecht L.E., Wareham N.J., Wu J.H.Y., Micha R., Lemaitre R.N., Mozaffarian D., and Forouhi N.G.

Abstract

Background De novo lipogenesis (DNL) is the primary metabolic pathway synthesizing fatty acids from carbohydrates, protein, or alcohol. Our aim was to examine associations of in vivo levels of selected fatty acids (16:0, 16:1n7, 18:0, 18:1n9) in DNL with incidence of type 2 diabetes (T2D). Methods and findings Seventeen cohorts from 12 countries (7 from Europe, 7 from the United States, 1 from Australia, 1 from Taiwan; baseline years = 1970-1973 to 2006-2010) conducted harmonized individual-level analyses of associations of DNL-related fatty acids with incident T2D. In total, we evaluated 65,225 participants (mean ages = 52.3-75.5 years; % women = 20.4%-62.3% in 12 cohorts recruiting both sexes) and 15,383 incident cases of T2D over the 9-year follow-up on average. Cohort-specific association of each of 16:0, 16:1n7, 18:0, and 18:1n9 with incident T2D was estimated, adjusted for demographic factors, socioeconomic characteristics, alcohol, smoking, physical activity, dyslipidemia, hypertension, menopausal status, and adiposity. Cohort-specific associations were meta-analyzed with an inverse-variance-weighted approach. Each of the 4 fatty acids positively related to incident T2D. Relative risks (RRs) per cohort-specific range between midpoints of the top and bottom quintiles of fatty acid concentrations were 1.53 (1.41-1.66; p < 0.001) for 16:0, 1.40 (1.33-1.48; p < 0.001) for 16:1n-7, 1.14 (1.05-1.22; p = 0.001) for 18:0, and 1.16 (1.07-1.25; p < 0.001) for 18:1n9. Heterogeneity was seen across cohorts (I2 = 51.1%-73.1% for each fatty acid) but not explained by lipid fractions and global geographical regions. Further adjusted for triglycerides (and 16:0 when appropriate) to evaluate associations independent of overall DNL, the associations remained significant for 16:0, 16:1n7, and 18:0 but were attenuated for 18:1n9 (RR = 1.03, 95% confidence interval (CI) = 0.94-1.13). These findings had limitations in potential reverse causation and residual confounding by impreci

Published
2021

13. N-3 fatty acid biomarkers and incident type 2 diabetes: An individual participant-level pooling project of 20 prospective cohort studies.

Author

Qian F., Ardisson Korat A.V., Imamura F., Marklund M., Tintle N., Virtanen J.K., Zhou X., Bassett J.K., Lai H., Hirakawa Y., Chien K.-L., Wood A.C., Lankinen M., Murphy R.A., Samieri C., Pertiwi K., de Mello V.D., Guan W., Forouhi N.G., Wareham N., Consortium I., Hu F.B., Riserus U., Lind L., Harris W.S., Shadyab A.H., Robinson J.G., Steffen L.M., Hodge A., Giles G.G., Ninomiya T., Uusitupa M., Tuomilehto J., Lindstrom J., Laakso M., Siscovick D.S., Helmer C., Geleijnse J.M., Wu J.H.Y., Fretts A., Lemaitre R.N., Micha R., Mozaffarian D., Sun Q., Qian F., Ardisson Korat A.V., Imamura F., Marklund M., Tintle N., Virtanen J.K., Zhou X., Bassett J.K., Lai H., Hirakawa Y., Chien K.-L., Wood A.C., Lankinen M., Murphy R.A., Samieri C., Pertiwi K., de Mello V.D., Guan W., Forouhi N.G., Wareham N., Consortium I., Hu F.B., Riserus U., Lind L., Harris W.S., Shadyab A.H., Robinson J.G., Steffen L.M., Hodge A., Giles G.G., Ninomiya T., Uusitupa M., Tuomilehto J., Lindstrom J., Laakso M., Siscovick D.S., Helmer C., Geleijnse J.M., Wu J.H.Y., Fretts A., Lemaitre R.N., Micha R., Mozaffarian D., and Sun Q.

Abstract

OBJECTIVE Prospective associations between n-3 fatty acid biomarkers and type 2 diabetes (T2D) risk are not consistent in individual studies. We aimed to summarize the prospective associations of biomarkers of a-linolenic acid (ALA), eicosapentaenoic acid (EPA), docosapentaenoic acid (DPA), and docosahexaenoic acid (DHA) with T2D risk through an individual participant-level pooled analysis. RESEARCH DESIGN AND METHODS For our analysis we incorporated data from a global consortium of 20 prospective studies from 14 countries. We included 65,147 participants who had blood measurements of ALA, EPA, DPA, or DHA and were free of diabetes at baseline. De novo harmonized analyses were performed in each cohort following a prespecified protocol, and cohort-specific associations were pooled using inverse variance-weighted meta-analysis. RESULTS A total of 16,693 incident T2D cases were identified during follow-up (median follow-up ranging from 2.5 to 21.2 years). In pooled multivariable analysis, per interquintile range (difference between the 90th and 10th percentiles for each fatty acid), EPA, DPA, DHA, and their sum were associated with lower T2D incidence, with hazard ratios (HRs) and 95% CIs of 0.92 (0.87, 0.96), 0.79 (0.73, 0.85), 0.82 (0.76, 0.89), and 0.81 (0.75, 0.88), respectively (all P < 0.001). ALA was not associated with T2D (HR 0.97 [95% CI 0.92, 1.02]) per interquintile range. Associations were robust across prespecified subgroups as well as in sensitivity analyses. CONCLUSIONS Highercirculating biomarkers of seafood-derivedn-3 fattyacids, including EPA,DPA, DHA, and their sum, were associated with lower risk of T2D in a global consortium of prospective studies. The biomarker of plant-derived ALA was not significantly associated with T2D risk.Copyright © 2021 by the American Diabetes Association.

Published
2021

14. n-3 Fatty Acid Biomarkers and Incident Type 2 Diabetes: An Individual Participant-Level Pooling Project of 20 Prospective Cohort Studies.

Author

Fretts A., Sun Q., Qian F., Ardisson Korat A.V., Imamura F., Marklund M., Tintle N., Mozaffarian D., Virtanen J.K., Zhou X., Bassett J.K., Lai H., Hirakawa Y., Chien K.-L., Wood A.C., Lankinen M., Murphy R.A., Samieri C., Micha R., Lemaitre R.N., Pertiwi K., de Mello V.D., Guan W., Forouhi N.G., Wareham N., Hu I.C.F.B., Riserus U., Lind L., Harris W.S., Shadyab A.H., Robinson J.G., Steffen L.M., Hodge A., Giles G.G., Ninomiya T., Uusitupa M., Tuomilehto J., Lindstrom J., Laakso M., Siscovick D.S., Helmer C., Geleijnse J.M., Wu J.H.Y., Fretts A., Sun Q., Qian F., Ardisson Korat A.V., Imamura F., Marklund M., Tintle N., Mozaffarian D., Virtanen J.K., Zhou X., Bassett J.K., Lai H., Hirakawa Y., Chien K.-L., Wood A.C., Lankinen M., Murphy R.A., Samieri C., Micha R., Lemaitre R.N., Pertiwi K., de Mello V.D., Guan W., Forouhi N.G., Wareham N., Hu I.C.F.B., Riserus U., Lind L., Harris W.S., Shadyab A.H., Robinson J.G., Steffen L.M., Hodge A., Giles G.G., Ninomiya T., Uusitupa M., Tuomilehto J., Lindstrom J., Laakso M., Siscovick D.S., Helmer C., Geleijnse J.M., and Wu J.H.Y.

Abstract

OBJECTIVE: Prospective associations between n-3 fatty acid biomarkers and type 2 diabetes (T2D) risk are not consistent in individual studies. We aimed to summarize the prospective associations of biomarkers of alpha-linolenic acid (ALA), eicosapentaenoic acid (EPA), docosapentaenoic acid (DPA), and docosahexaenoic acid (DHA) with T2D risk through an individual participant-level pooled analysis. RESEARCH DESIGN AND METHODS: For our analysis we incorporated data from a global consortium of 20 prospective studies from 14 countries. We included 65,147 participants who had blood measurements of ALA, EPA, DPA, or DHA and were free of diabetes at baseline. De novo harmonized analyses were performed in each cohort following a prespecified protocol, and cohort-specific associations were pooled using inverse variance-weighted meta-analysis. RESULT(S): A total of 16,693 incident T2D cases were identified during follow-up (median follow-up ranging from 2.5 to 21.2 years). In pooled multivariable analysis, per interquintile range (difference between the 90th and 10th percentiles for each fatty acid), EPA, DPA, DHA, and their sum were associated with lower T2D incidence, with hazard ratios (HRs) and 95% CIs of 0.92 (0.87, 0.96), 0.79 (0.73, 0.85), 0.82 (0.76, 0.89), and 0.81 (0.75, 0.88), respectively (all P < 0.001). ALA was not associated with T2D (HR 0.97 [95% CI 0.92, 1.02]) per interquintile range. Associations were robust across prespecified subgroups as well as in sensitivity analyses. CONCLUSION(S): Higher circulating biomarkers of seafood-derived n-3 fatty acids, including EPA, DPA, DHA, and their sum, were associated with lower risk of T2D in a global consortium of prospective studies. The biomarker of plant-derived ALA was not significantly associated with T2D risk.Copyright © 2021 by the American Diabetes Association.

Published
2021

15. Worldwide trends in hypertension prevalence and progress in treatment and control from 1990 to 2019: a pooled analysis of 1201 population-representative studies with 104 million participants

Author

Zhou, B, Carrillo-Larco, RM, Danaei, G, Riley, LM, Paciorek, CJ, Stevens, GA, Gregg, EW, Bennett, JE, Solomon, B, Singleton, RK, Sophiea, MK, Iurilli, MLC, Lhoste, VPF, Cowan, MJ, Savin, S, Woodward, M, Balanova, Y, Cifkova, R, Damasceno, A, Elliott, P, Farzadfar, F, He, J, Ikeda, N, Kengne, AP, Khang, Y-H, Kim, HC, Laxmaiah, A, Lin, H-H, Margozzini Maira, P, Miranda, JJ, Neuhauser, H, Sundström, J, Varghese, C, Widyahening, IS, Zdrojewski, T, Abarca-Gómez, L, Abdeen, ZA, Abdul Rahim, HF, Abu-Rmeileh, NM, Acosta-Cazares, B, Adams, RJ, Aekplakorn, W, Afsana, K, Afzal, S, Agdeppa, IA, Aghazadeh-Attari, J, Aguilar-Salinas, CA, Agyemang, C, Ahmad, NA, Ahmadi, A, Ahmadi, N, Ahmadizar, F, Ahmed, SH, Ahrens, W, Ajlouni, K, Al-Raddadi, R, Alarouj, M, AlBuhairan, F, AlDhukair, S, Ali, MM, Alkandari, A, Alkerwi, A, Allin, K, Aly, E, Amarapurkar, DN, Amougou, N, Amouyel, P, Andersen, LB, Anderssen, SA, Anjana, RM, Ansari-Moghaddam, A, Ansong, D, Aounallah-Skhiri, H, Araújo, J, Ariansen, I, Aris, T, Arku, RE, Arlappa, N, Aryal, KK, Aspelund, T, Assah, FK, Assunção, MCF, Auvinen, J, Avdićová, M, Azevedo, A, Azimi-Nezhad, M, Azizi, F, Azmin, M, Babu, BV, Bahijri, S, Balakrishna, N, Bamoshmoosh, M, Banach, M, Banadinović, M, Bandosz, P, Banegas, JR, Baran, J, Barbagallo, CM, Barceló, A, Barkat, A, Barreto, M, Barros, AJD, Barros, MVG, Bartosiewicz, A, Basit, A, Bastos, JLD, Bata, I, Batieha, AM, Batyrbek, A, Baur, LA, Beaglehole, R, Belavendra, A, Ben Romdhane, H, Benet, M, Benson, LS, Berkinbayev, S, Bernabe-Ortiz, A, Bernotiene, G, Bettiol, H, Bezerra, J, Bhagyalaxmi, A, Bhargava, SK, Bia, D, Biasch, K, Bika Lele, EC, Bikbov, MM, Bista, B, Bjerregaard, P, Bjertness, E, Bjertness, MB, Björkelund, C, Bloch, KV, Blokstra, A, Bo, S, Bobak, M, Boeing, H, Boggia, JG, Boissonnet, CP, Bojesen, SE, Bongard, V, Bonilla-Vargas, A, Bopp, M, Borghs, H, Bovet, P, Boyer, CB, Braeckman, L, Brajkovich, I, Branca, F, Breckenkamp, J, Brenner, H, Brewster, LM, Briceño, Y, Brito, M, Bruno, G, Bueno-de-Mesquita, HB, Bueno, G, Bugge, A, Burns, C, Bursztyn, M, Cabrera de León, A, Cacciottolo, J, Cameron, C, Can, G, Cândido, APC, Capanzana, MV, Čapková, N, Capuano, E, Capuano, V, Cardoso, VC, Carlsson, AC, Carvalho, J, Casanueva, FF, Censi, L, Cervantes-Loaiza, M, Chadjigeorgiou, CA, Chamukuttan, S, Chan, AW, Chan, Q, Chaturvedi, HK, Chaturvedi, N, Chee, ML, Chen, C-J, Chen, F, Chen, H, Chen, S, Chen, Z, Cheng, C-Y, Cheraghian, B, Cherkaoui Dekkaki, I, Chetrit, A, Chien, K-L, Chiolero, A, Chiou, S-T, Chirita-Emandi, A, Chirlaque, M-D, Cho, B, Christensen, K, Christofaro, DG, Chudek, J, Cinteza, E, Claessens, F, Clarke, J, Clays, E, Cohen, E, Concin, H, Cooper, C, Coppinger, TC, Costanzo, S, Cottel, D, Cowell, C, Craig, CL, Crampin, AC, Crujeiras, AB, Cruz, JJ, Csilla, S, Cui, L, Cureau, FV, Cuschieri, S, D'Arrigo, G, d'Orsi, E, Dallongeville, J, Dankner, R, Dantoft, TM, Dauchet, L, Davletov, K, De Backer, G, De Bacquer, D, De Curtis, A, de Gaetano, G, De Henauw, S, de Oliveira, PD, De Ridder, D, De Smedt, D, Deepa, M, Deev, AD, DeGennaro, VJ, Delisle, H, Demarest, S, Dennison, E, Deschamps, V, Dhimal, M, Di Castelnuovo, AF, Dias-da-Costa, JS, Diaz, A, Dickerson, TT, Dika, Z, Djalalinia, S, Do, HTP, Dobson, AJ, Donfrancesco, C, Donoso, SP, Döring, A, Dorobantu, M, Dörr, M, Doua, K, Dragano, N, Drygas, W, Duante, CA, Duboz, P, Duda, RB, Dulskiene, V, Dushpanova, A, Džakula, A, Dzerve, V, Dziankowska-Zaborszczyk, E, Eddie, R, Eftekhar, E, Eggertsen, R, Eghtesad, S, Eiben, G, Ekelund, U, El-Khateeb, M, El Ati, J, Eldemire-Shearer, D, Eliasen, M, Elosua, R, Erasmus, RT, Erbel, R, Erem, C, Eriksen, L, Eriksson, JG, Escobedo-de la Peña, J, Eslami, S, Esmaeili, A, Evans, A, Faeh, D, Fakhretdinova, AA, Fall, CH, Faramarzi, E, Farjam, M, Fattahi, MR, Fawwad, A, Felix-Redondo, FJ, Felix, SB, Ferguson, TS, Fernandes, RA, Fernández-Bergés, D, Ferrante, D, Ferrao, T, Ferrari, M, Ferrario, MM, Ferreccio, C, Ferreira, HS, Ferrer, E, Ferrieres, J, Figueiró, TH, Fink, G, Fischer, K, Foo, LH, Forsner, M, Fouad, HM, Francis, DK, Franco, MDC, Frikke-Schmidt, R, Frontera, G, Fuchs, FD, Fuchs, SC, Fujita, Y, Fumihiko, M, Furdela, V, Furer, A, Furusawa, T, Gaciong, Z, Galbarczyk, A, Galenkamp, H, Galvano, F, Gao, J, Gao, P, Garcia-de-la-Hera, M, Garcia, P, Gareta, D, Garnett, SP, Gaspoz, J-M, Gasull, M, Gazzinelli, A, Gehring, U, Geleijnse, JM, George, R, Ghanbari, A, Ghasemi, E, Gheorghe-Fronea, O-F, Ghimire, A, Gialluisi, A, Giampaoli, S, Gieger, C, Gill, TK, Giovannelli, J, Gironella, G, Giwercman, A, Gkiouras, K, Goldberg, M, Goldsmith, RA, Gomez, LF, Gomula, A, Gonçalves, H, Gonçalves, M, Gonçalves Cordeiro da Silva, B, Gonzalez-Chica, DA, Gonzalez-Gross, M, González-Rivas, JP, González-Villalpando, C, González-Villalpando, M-E, Gonzalez, AR, Gorbea, MB, Gottrand, F, Graff-Iversen, S, Grafnetter, D, Grajda, A, Grammatikopoulou, MG, Gregor, RD, Grodzicki, T, Grosso, G, Gruden, G, Gu, D, Guan, OP, Gudmundsson, EF, Gudnason, V, Guerrero, R, Guessous, I, Guimaraes, AL, Gulliford, MC, Gunnlaugsdottir, J, Gunter, MJ, Gupta, PC, Gupta, R, Gureje, O, Gurzkowska, B, Gutierrez, L, Gutzwiller, F, Ha, S, Hadaegh, F, Haghshenas, R, Hakimi, H, Halkjær, J, Hambleton, IR, Hamzeh, B, Hange, D, Hanif, AAM, Hantunen, S, Hao, J, Hardman, CM, Hari Kumar, R, Hashemi-Shahri, SM, Hata, J, Haugsgjerd, T, Hayes, AJ, He, Y, Heier, M, Hendriks, ME, Henrique, RDS, Henriques, A, Hernandez Cadena, L, Herqutanto, Herrala, S, Heshmat, R, Hill, AG, Ho, SY, Ho, SC, Hobbs, M, Holdsworth, M, Homayounfar, R, Horasan Dinc, G, Horimoto, ARVR, Hormiga, CM, Horta, BL, Houti, L, Howitt, C, Htay, TT, Htet, AS, Htike, MMT, Hu, Y, Huerta, JM, Huhtaniemi, IT, Huiart, L, Huisman, M, Husseini, AS, Huybrechts, I, Hwalla, N, Iacoviello, L, Iannone, AG, Ibrahim, MM, Ibrahim Wong, N, Ikram, MA, Iotova, V, Irazola, VE, Ishida, T, Isiguzo, GC, Islam, M, Islam, SMS, Iwasaki, M, Jackson, RT, Jacobs, JM, Jaddou, HY, Jafar, T, James, K, Jamrozik, K, Janszky, I, Janus, E, Jarvelin, M-R, 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McLachlan, S, McLean, RM, McLean, SB, McNulty, BA, Mediene Benchekor, S, Medzioniene, J, Mehdipour, P, Mehlig, K, Mehrparvar, AH, Meirhaeghe, A, Meisinger, C, Mendoza Montano, C, Menezes, AMB, Menon, GR, Mereke, A, Meshram, II, Metspalu, A, Meyer, HE, Mi, J, Michels, N, Mikkel, K, Milkowska, K, Miller, JC, Minderico, CS, Mini, GK, Mirjalili, MR, Mirrakhimov, E, Mišigoj-Duraković, M, Modesti, PA, Moghaddam, SS, Mohajer, B, Mohamed, MK, Mohamed, SF, Mohammad, K, Mohammadi, MR, Mohammadi, Z, Mohammadifard, N, Mohammadpourhodki, R, Mohan, V, Mohanna, S, Mohd Yusoff, MF, Mohebbi, I, Mohebi, F, Moitry, M, Møllehave, LT, Molnár, D, Momenan, A, Mondo, CK, Monterrubio-Flores, E, Monyeki, KDK, Moon, JS, Moosazadeh, M, Moreira, LB, Morejon, A, Moreno, LA, Morgan, K, Moschonis, G, Mossakowska, M, Mostafa, A, Mostafavi, S-A, Mota, J, Motlagh, ME, Motta, J, Moura-dos-Santos, MA, Mridha, MK, Msyamboza, KP, Mu, TT, Muhihi, AJ, Muiesan, ML, Müller-Nurasyid, M, Murphy, N, Mursu, J, Musa, KI, Musić Milanović, S, Musil, V, Mustafa, N, Nabipour, I, Naderimagham, S, Nagel, G, Naidu, BM, Najafi, F, Nakamura, H, Námešná, J, Nang, EEK, Nangia, VB, Narake, S, Ndiaye, NC, Neal, WA, Nejatizadeh, A, Nenko, I, Neovius, M, Nguyen, CT, Nguyen, ND, Nguyen, QV, Nguyen, QN, Nieto-Martínez, RE, Niiranen, TJ, Nikitin, YP, Ninomiya, T, Nishtar, S, Njelekela, MA, Noale, M, Noboa, OA, Noorbala, AA, Norat, T, Nordendahl, M, Nordestgaard, BG, Noto, D, Nowak-Szczepanska, N, Nsour, MA, Nunes, B, O'Neill, TW, O'Reilly, D, Ochimana, C, Oda, E, Odili, AN, Oh, K, Ohara, K, Ohtsuka, R, Olié, V, Olinto, MTA, Oliveira, IO, Omar, MA, Onat, A, Ong, SK, Ono, LM, Ordunez, P, Ornelas, R, Ortiz, PJ, Osmond, C, Ostojic, SM, Ostovar, A, Otero, JA, Overvad, K, Owusu-Dabo, E, Paccaud, FM, Padez, C, Pahomova, E, Paiva, KMD, Pająk, A, Palli, D, Palmieri, L, Pan, W-H, Panda-Jonas, S, Panza, F, Paoli, M, Papandreou, D, Park, S-W, Park, S, Parnell, WR, Parsaeian, M, Pasquet, P, Patel, ND, Pavlyshyn, H, Pećin, I, Pednekar, MS, Pedro, JM, Peer, N, Peixoto, SV, Peltonen, M, Pereira, AC, Peres, KGDA, Peres, MA, Peters, A, Petkeviciene, J, Peykari, N, Pham, ST, Pichardo, RN, Pigeot, I, Pikhart, H, Pilav, A, Pilotto, L, Pitakaka, F, Piwonska, A, Pizarro, AN, Plans-Rubió, P, Polašek, O, Porta, M, Poudyal, A, Pourfarzi, F, Pourshams, A, Poustchi, H, Pradeepa, R, Price, AJ, Price, JF, Providencia, R, Puhakka, SE, Puiu, M, Punab, M, Qasrawi, RF, Qorbani, M, Queiroz, D, Quoc Bao, T, Radić, I, Radisauskas, R, Rahimikazerooni, S, Rahman, M, Raitakari, O, Raj, M, Rakhimova, EM, and Ra

Published
2021

16. Blood n-3 fatty acid levels and total and cause-specific mortality from 17 prospective studies

Author

Harris, WS, Tintle, NL, Imamura, F, Qian, F, Korat, AVA, Marklund, M, Djousse, L, Bassett, JK, Carmichael, P-H, Chen, Y-Y, Hirakawa, Y, Kupers, LK, Laguzzi, F, Lankinen, M, Murphy, RA, Samieri, C, Senn, MK, Shi, P, Virtanen, JK, Brouwer, IA, Chien, K-L, Eiriksdottir, G, Forouhi, NG, Geleijnse, JM, Giles, GG, Gudnason, V, Helmer, C, Hodge, A, Jackson, R, Khaw, K-T, Laakso, M, Lai, H, Laurin, D, Leander, K, Lindsay, J, Micha, R, Mursu, J, Ninomiya, T, Post, W, Psaty, BM, Riserus, U, Robinson, JG, Shadyab, AH, Snetselaar, L, Sala-Vila, A, Sun, Y, Steffen, LM, Tsai, MY, Wareham, NJ, Wood, AC, Wu, JHY, Hu, F, Sun, Q, Siscovick, DS, Lemaitre, RN, Mozaffarian, D, Harris, WS, Tintle, NL, Imamura, F, Qian, F, Korat, AVA, Marklund, M, Djousse, L, Bassett, JK, Carmichael, P-H, Chen, Y-Y, Hirakawa, Y, Kupers, LK, Laguzzi, F, Lankinen, M, Murphy, RA, Samieri, C, Senn, MK, Shi, P, Virtanen, JK, Brouwer, IA, Chien, K-L, Eiriksdottir, G, Forouhi, NG, Geleijnse, JM, Giles, GG, Gudnason, V, Helmer, C, Hodge, A, Jackson, R, Khaw, K-T, Laakso, M, Lai, H, Laurin, D, Leander, K, Lindsay, J, Micha, R, Mursu, J, Ninomiya, T, Post, W, Psaty, BM, Riserus, U, Robinson, JG, Shadyab, AH, Snetselaar, L, Sala-Vila, A, Sun, Y, Steffen, LM, Tsai, MY, Wareham, NJ, Wood, AC, Wu, JHY, Hu, F, Sun, Q, Siscovick, DS, Lemaitre, RN, and Mozaffarian, D

Abstract

The health effects of omega-3 fatty acids have been controversial. Here we report the results of a de novo pooled analysis conducted with data from 17 prospective cohort studies examining the associations between blood omega-3 fatty acid levels and risk for all-cause mortality. Over a median of 16 years of follow-up, 15,720 deaths occurred among 42,466 individuals. We found that, after multivariable adjustment for relevant risk factors, risk for death from all causes was significantly lower (by 15-18%, at least p < 0.003) in the highest vs the lowest quintile for circulating long chain (20-22 carbon) omega-3 fatty acids (eicosapentaenoic, docosapentaenoic, and docosahexaenoic acids). Similar relationships were seen for death from cardiovascular disease, cancer and other causes. No associations were seen with the 18-carbon omega-3, alpha-linolenic acid. These findings suggest that higher circulating levels of marine n-3 PUFA are associated with a lower risk of premature death.

Published
2021

18. Free Communications 5: Epidemiology, genetics, outcomes Inflammatory markers and extent and progression of early atherosclerosis: Pooled analysis of individual participant data from 20 prospective studies of the PROG-IMT collaboration: WSC-1521

Author

Willeit, P, Thompson, S G, Agewall, S, Bergström, G, Bickel, H, Catapano, A L, Chien, K L, de Groot, E, Empana, J P, Etgen, T, Franco, O H, Iglseder, B, Johnsen, S H, Kavousi, M, Lind, L, Liu, J, Mathiesen, E B, Norata, G D, Olsen, M H, Papagianni, A, Poppert, H, Price, J F, Sacco, R L, Yanez, D N, Zhao, D, Schminke, U, Bülbül, A, Polak, J F, Sitzer, M, Hofman, A, Grigore, L, Dörr, M, Su, T C, Ducimetière, P, Xie, W, Ronkainen, K, Kiechl, S, Rundek, T, Robertson, C, Fagerberg, B, Bokemark, L, Steinmetz, H, Ikram, M A, Völzke, H, Lin, H J, Plichart, M, Tuomainen, T P, Desvarieux, M, McLachlan, S, Schmidt, C, Kauhanen, J, Willeit, J, Lorenz, M W, and Sander, D

Published
2014

19. A meta-analysis of echocardiographic measurements of the left heart for the development of normative reference ranges in a large international cohort: the EchoNoRMAL study

Author

Doughty, R. N., Gardin, J. M., Hobbs, F. D. R., McMurray, J. J. V., Nagueh, S. F., Poppe, K. K., Senior, R., Thomas, L., Whalley, G. A., Aune, E., Brown, A., Badano, L. P., Cameron, V., Chadha, D. S., Chahal, N., Chien, K. L., Daimon, M., Dalen, H., Detrano, R., Akif Duzenli, M., Ezekowitz, J., de Simone, G., Di Pasquale, P., Fukuda, S., Gill, P. S., Grossman, E., Hobbs, F. D. R., Kim, H. –K., Kuznetsova, T., Leung, N. K. W., Linhart, A., McDonagh, T. A., McGrady, M., McMurray, J. J. V., Mill, J. G., Mogelvang, R., Muiesan, M. L., Ng, A. C. T., Ojji, D., Otterstad, J. E., Petrovic, D. J., Poppe, K. K., Prendergast, B., Rietzschel, E., Schirmer, H., Schvartzman, P., Senior, R., Simova, I., Sliwa, K., Stewart, S., Squire, I. B., Takeuchi, M., Thomas, L., Whalley, G. A., Altman, D., Perera, R., Poppe, K. K., Triggs, C. M., Au Yeung, H., Beans Picón, G. A., Poppe, K. K., and Whalley, G. A.

Published
2014
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20. Fatty acids in the de novo lipogenesis pathway and incidence of type 2 diabetes: A pooled analysis of prospective cohort studies

Author

Lin, X, Imamura, F, Fretts, AM, Marklund, M, Ardisson Korat, AV, Yang, W-S, Lankinen, M, Qureshi, W, Helmer, C, Chen, T-A, Virtanen, JK, Wong, K, Bassett, JK, Murphy, R, Tintle, N, Yu, CI, Brouwer, IA, Chien, K-L, Chen, Y-Y, Wood, AC, del Gobbo, LC, Djousse, L, Geleijnse, JM, Giles, GG, de Goede, J, Gudnason, V, Harris, WS, Hodge, A, Hu, F, Koulman, A, Laakso, M, Lind, L, Lin, H-J, McKnight, B, Rajaobelina, K, Riserus, U, Robinson, JG, Samieri, C, Senn, M, Siscovick, DS, Soedamah-Muthu, SS, Sotoodehnia, N, Sun, Q, Tsai, MY, Tuomainen, T-P, Uusitupa, M, Wagenknecht, LE, Wareham, NJ, Wu, JHY, Micha, R, Lemaitre, RN, Mozaffarian, D, Forouhi, NG, Lin, X, Imamura, F, Fretts, AM, Marklund, M, Ardisson Korat, AV, Yang, W-S, Lankinen, M, Qureshi, W, Helmer, C, Chen, T-A, Virtanen, JK, Wong, K, Bassett, JK, Murphy, R, Tintle, N, Yu, CI, Brouwer, IA, Chien, K-L, Chen, Y-Y, Wood, AC, del Gobbo, LC, Djousse, L, Geleijnse, JM, Giles, GG, de Goede, J, Gudnason, V, Harris, WS, Hodge, A, Hu, F, Koulman, A, Laakso, M, Lind, L, Lin, H-J, McKnight, B, Rajaobelina, K, Riserus, U, Robinson, JG, Samieri, C, Senn, M, Siscovick, DS, Soedamah-Muthu, SS, Sotoodehnia, N, Sun, Q, Tsai, MY, Tuomainen, T-P, Uusitupa, M, Wagenknecht, LE, Wareham, NJ, Wu, JHY, Micha, R, Lemaitre, RN, Mozaffarian, D, and Forouhi, NG

Abstract

BACKGROUND: De novo lipogenesis (DNL) is the primary metabolic pathway synthesizing fatty acids from carbohydrates, protein, or alcohol. Our aim was to examine associations of in vivo levels of selected fatty acids (16:0, 16:1n7, 18:0, 18:1n9) in DNL with incidence of type 2 diabetes (T2D). METHODS AND FINDINGS: Seventeen cohorts from 12 countries (7 from Europe, 7 from the United States, 1 from Australia, 1 from Taiwan; baseline years = 1970-1973 to 2006-2010) conducted harmonized individual-level analyses of associations of DNL-related fatty acids with incident T2D. In total, we evaluated 65,225 participants (mean ages = 52.3-75.5 years; % women = 20.4%-62.3% in 12 cohorts recruiting both sexes) and 15,383 incident cases of T2D over the 9-year follow-up on average. Cohort-specific association of each of 16:0, 16:1n7, 18:0, and 18:1n9 with incident T2D was estimated, adjusted for demographic factors, socioeconomic characteristics, alcohol, smoking, physical activity, dyslipidemia, hypertension, menopausal status, and adiposity. Cohort-specific associations were meta-analyzed with an inverse-variance-weighted approach. Each of the 4 fatty acids positively related to incident T2D. Relative risks (RRs) per cohort-specific range between midpoints of the top and bottom quintiles of fatty acid concentrations were 1.53 (1.41-1.66; p < 0.001) for 16:0, 1.40 (1.33-1.48; p < 0.001) for 16:1n-7, 1.14 (1.05-1.22; p = 0.001) for 18:0, and 1.16 (1.07-1.25; p < 0.001) for 18:1n9. Heterogeneity was seen across cohorts (I2 = 51.1%-73.1% for each fatty acid) but not explained by lipid fractions and global geographical regions. Further adjusted for triglycerides (and 16:0 when appropriate) to evaluate associations independent of overall DNL, the associations remained significant for 16:0, 16:1n7, and 18:0 but were attenuated for 18:1n9 (RR = 1.03, 95% confidence interval (CI) = 0.94-1.13). These findings had limitations in potential reverse causation and residual confounding by impre

Published
2020

25. A multi-class multi-level capacitated lot sizing model

Author

Hung, Y-F and Chien, K-L

Subjects
Material requirements planning -- Research, Production planning -- Models, Integer programming -- Usage, Simulated annealing (Mathematics) -- Usage, Genetic algorithms -- Usage
Abstract

When demand loading is higher than available capacity, it takes a great deal of effort for a traditional MRP system to obtain a capacity-feasible production plan. Also, the separation of lot sizing decisions and capacity requirement planning makes the setup decisions more difficult. In a practical application, a production planning system should prioritize demands when allocating manufacturing resources. This study proposes a planning model that integrates all MRP computation modules. The model not only includes multi-level capacitated lot sizing problems but also considers multiple demand classes. Each demand class corresponds to a mixed integer programming (MIP) problem. By sequentially solving the MIP problems according to their demand class priorities, this proposed approach allocates finite manufacturing resources and generates feasible production plans. In this paper we experiment with three heuristic search algorithms: (1) tabu search; (2) simulated annealing, and (3) genetic algorithm, to solve the MIP problems. Experimental designs and statistical methods are used to evaluate and analyse the performance of these three algorithms. The results show that tabu search and simulated annealing perform best in the confirmed order demand class and forecast demand class, respectively.

Published
2000

27. Correction: Predictive value for cardiovascular events of common carotid intima media thickness and its rate of change in individuals at high cardiovascular risk - Results from the PROG-IMT collaboration (PLoS One (2018) 13:4 (e0191172) DOI: 10.1371/journal.pone.0191172)

Author

Lorenz M. W., Gao L., Ziegelbauer K., Norata G. D., Empana J. P., Schmidtmann I., Lin H. -J., McLachlan S., Bokemark L., Ronkainen K., Amato M., Schminke U., Srinivasan S. R., Lind L., Okazaki S., Stehouwer C. D. A., Willeit P., Polak J. F., Steinmetz H., Sander D., Poppert H., Desvarieux M., Arfan Ikram M., Johnsen S. H., Staub D., Sirtori C. R., Iglseder B., Beloqui O., Engstrom G., Friera A., Rozza F., Xie W., Parraga G., Grigore L., Plichart M., Blankenberg S., Su T. -C., Schmidt C., Tuomainen T. -P., Veglia F., Volzke H., Nijpels G., Willeit J., Sacco R. L., Franco O. H., Uthoff H., Hedblad B., Suarez C., Izzo R., Zhao D., Wannarong T., Catapano A., Ducimetiere P., Espinola-Klein C., Chien K. -L., Price J. F., Bergstrom G., Kauhanen J., Tremoli E., Dorr M., Berenson G., Kitagawa K., Dekker J. M., Kiechl S., Sitzer M., Bickel H., Rundek T., Hofman A., Mathiesen E. B., Castelnuovo S., Landecho M. F., Rosvall M., Gabriel R., De Luca N., Liu J., Baldassarre D., Kavousi M., De Groot E., Bots M. L., Yanez D. N., Thompson S. G., Lorenz, M. W., Gao, L., Ziegelbauer, K., Norata, G. D., Empana, J. P., Schmidtmann, I., Lin, H. -J., Mclachlan, S., Bokemark, L., Ronkainen, K., Amato, M., Schminke, U., Srinivasan, S. R., Lind, L., Okazaki, S., Stehouwer, C. D. A., Willeit, P., Polak, J. F., Steinmetz, H., Sander, D., Poppert, H., Desvarieux, M., Arfan Ikram, M., Johnsen, S. H., Staub, D., Sirtori, C. R., Iglseder, B., Beloqui, O., Engstrom, G., Friera, A., Rozza, F., Xie, W., Parraga, G., Grigore, L., Plichart, M., Blankenberg, S., Su, T. -C., Schmidt, C., Tuomainen, T. -P., Veglia, F., Volzke, H., Nijpels, G., Willeit, J., Sacco, R. L., Franco, O. H., Uthoff, H., Hedblad, B., Suarez, C., Izzo, R., Zhao, D., Wannarong, T., Catapano, A., Ducimetiere, P., Espinola-Klein, C., Chien, K. -L., Price, J. F., Bergstrom, G., Kauhanen, J., Tremoli, E., Dorr, M., Berenson, G., Kitagawa, K., Dekker, J. M., Kiechl, S., Sitzer, M., Bickel, H., Rundek, T., Hofman, A., Mathiesen, E. B., Castelnuovo, S., Landecho, M. F., Rosvall, M., Gabriel, R., De Luca, N., Liu, J., Baldassarre, D., Kavousi, M., De Groot, E., Bots, M. L., Yanez, D. N., and Thompson, S. G.

Abstract

An affiliation for Moise Desvarieux is missing. In addition to affiliation #22, Moise Desvarieux is affiliated with: METHODS Core, Centre de Recherche Epidémiologie et Statistique Paris Sorbonne Cité (CRESS), Institut National de la Santé et de la Recherche Médicale (INSERM) UMR 1153, Paris France.

Published
2018

29. DNA methylation profiling implicates exposure to PCBs in the pathogenesis of B-cell chronic lymphocytic leukemia

Author

Georgiadis, P, Gavriil, M, Rantakokko, P, Ladoukakis, E, Botsivali, M, Kelly, RS, Bergdahl, IA, Kiviranta, H, Vermeulen, RCH, Spaeth, F, Hebbels, DGAJ, Kleinjans, JCS, de Kok, TMCM, Palli, D, Vineis, P, Kyrtopoulos, SA, Gottschalk, R, van Leeuwen, D, Timmermans, L, Bendinelli, B, Portengen, L, Saberi-Hosnijeh, F, Melin, B, Hallmans, G, Lenner, P, Keun, HC, Siskos, A, Athersuch, TJ, Kogevinas, M, Stephanou, EG, Myridakis, A, Fazzo, L, De Santis, M, Comba, P, Airaksinen, R, Ruokojärvi, P, Gilthorpe, M, Fleming, S, Fleming, T, Tu, Y-K, Jonsson, B, Lundh, T, Chen, WJ, Lee, W-C, Hsiao, CK, Chien, K-L, Kuo, P-H, Hung, H, Liao, S-F, and EnviroGenomarkers consortium

Abstract

Objectives: To characterize the impact of PCB exposure on DNA methylation in peripheral blood leucocytes and to evaluate the corresponding changes in relation to possible health effects, with a focus on B-cell lymphoma. Methods: We conducted an epigenome-wide association study on 611 adults free of diagnosed disease, living in Italy and Sweden, in whom we also measured plasma concentrations of 6 PCB congeners, DDE and hexachlorobenzene. Results: We identified 650 CpG sites whose methylation correlates strongly (FDR

Published
2019

30. Biomarkers of Dietary Omega-6 Fatty Acids and Incident Cardiovascular Disease and Mortality

Author

MARKLUND, M., WU, J. H. Y., IMAMURA, F., DEL GOBBO, L. C., FRETTS, A., DE GOEDE, J., Shi, P., TINTLE, N., WENNBERG, M., ASLIBEKYAN, S., CHEN, T. A., DE OLIVEIRA OTTO, M. C., Hirakawa, Y., ERIKSEN, H. H., KROGER, J., LAGUZZI, F., LANKINEN, M., Murphy, R. A., PREM, K., Samieri, C., Virtanen, J., WOOD, A. C., Wong, K., YANG, W. S., Zhou, X., BAYLIN, A., BOER, J. M. A., BROUWER, I. A., Campos, H., CHAVES, P. H. M., CHIEN, K. L., DE FAIRE, U., DJOUSSE, L., EIRIKSDOTTIR, G., EL-ABBADI, N., FOROUHI, N. G., MICHAEL GAZIANO, J., GELEIJNSE, J. M., GIGANTE, B., GILES, G., GUALLAR, E., GUDNASON, V., HARRIS, T., HARRIS, W. S., Helmer, Catherine, HELLENIUS, M. L., Hodge, A., Hu, F. B., JACQUES, P. F., JANSSON, J. H., Kalsbeek, A., Khaw, K. T., Koh, W. P., Laakso, M., LEANDER, K., LIN, H. J., LIND, L., LUBEN, R., Luo, J., MCKNIGHT, B., MURSU, J., Ninomiya, T., Overvad, K., PSATY, B. M., RIMM, E., SCHULZE, M. B., SISCOVICK, D., SKJELBO NIELSEN, M., SMITH, A. V., STEFFEN, B. T., STEFFEN, L., Sun, Q., SUNDSTROM, J., TSAI, M. Y., TUNSTALL-PEDOE, H., UUSITUPA, M. I. J., VAN DAM, R. M., VEENSTRA, J., MONIQUE VERSCHUREN, W. M., Wareham, N., WILLETT, W., Woodward, M., Yuan, J. M., Micha, R., LEMAITRE, R. N., Mozaffarian, D., Bordeaux population health (BPH), and Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM)

Subjects
[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, LEHA
Abstract

International audience; BACKGROUND: Global dietary recommendations for and cardiovascular effects of linoleic acid, the major dietary omega-6 fatty acid, and its major metabolite, arachidonic acid, remain controversial. To address this uncertainty and inform international recommendations, we evaluated how in vivo circulating and tissue levels of linoleic acid (LA) and arachidonic acid (AA) relate to incident cardiovascular disease (CVD) across multiple international studies. METHODS: We performed harmonized, de novo, individual-level analyses in a global consortium of 30 prospective observational studies from 13 countries. Multivariable-adjusted associations of circulating and adipose tissue LA and AA biomarkers with incident total CVD and subtypes (coronary heart disease (CHD), ischemic stroke, cardiovascular mortality) were investigated according to a prespecified analytical plan. Levels of LA and AA, measured as % of total fatty acids, were evaluated linearly according to their interquintile range (i.e., the range between the mid-point of the first and fifth quintiles), and categorically by quintiles. Study-specific results were pooled using inverse-variance weighted meta-analysis. Heterogeneity was explored by age, sex, race, diabetes, statin use, aspirin use, omega-3 levels, and fatty acid desaturase 1 genotype (when available). RESULTS: In 30 prospective studies with medians of follow-up ranging 2.5 to 31.9 years, 15,198 incident cardiovascular events occurred among 68,659 participants. Higher levels of LA were significantly associated with lower risks of total CVD, cardiovascular mortality, and ischemic stroke, with hazard ratios per interquintile range of 0.93 (95% CI: 0.88-0.99), 0.78 (0.70-0.85), and 0.88 (0.79-0.98), respectively, and nonsignificantly with lower CHD risk (0.94; 0.88-1.00). Relationships were similar for LA evaluated across quintiles. AA levels were not associated with higher risk of cardiovascular outcomes; comparing extreme quintiles, higher levels were associated with lower risk of total CVD (0.92; 0.86-0.99). No consistent heterogeneity by population subgroups was identified in the observed relationships. CONCLUSIONS: In pooled global analyses, higher in vivo circulating and tissue levels of LA and possibly AA were associated with lower risk of major cardiovascular events. These results support a favorable role for LA in CVD prevention.

Published
2019

34. A meta-analysis of echocardiographic measurements of the left heart for the development of normative reference ranges in a large international cohort: the EchoNoRMAL study

Author

Anderson T., Dyck J., Ezekowitz J. A., Chirinos J. A., De Buyzere M. L., Gillebert T. C., Rietzschel E., Segers P., Van Daele C. M., Doughty R. N., Poppe K. K., Walsh H. A., Whalley G. A., Chen P. C., Chien K. L., Lin H. J., Su, T. C., Mogelvang R., Jensen J. S., Chadha D. S., Goel K., Misra A., Detrano R., Cameron V., Richards A. M., Troughton R., Di Pasquale P., Paterna S., Duzenli M. A., Hobbs F. D. R., Davies M. K., Davis R. C., Roalfe A., Calvert M., Freemantle N., Gill, P. S., Lip G. Y. H., Kuznetsova T., Staessen J. A., Dargie H. J., Ford I., McDonagh T. A., McMurray J. J. V., Grossman E., Galasko G., Lahiri A., Senior R., Blauwet L., Sliwa K., Stewart S., Brown A., Carrington M., Krum H., McGrady M., Zeitz C., Dalen H., Hansen H. E. M., Støylen A., Thorstensen A., Daimon M., Watanabe H., Yoshikawa J., Fukuda S., Kim H. K., Leung N. K. W., Linhart A., Chahal N., Chambers J. C., Kooner J., Davies J., Loke I., Ng, L., Squire I. B., Aune E., Otterstad J. E., Leung D. Y., Ng A. C. T., Ojji D., Arnold L., Coffey S., D'Arcy J., Hammond C., Mabbett C., Lima C., Loudon M., Pinheiro N., Prendergast B., Reynolds R., Badano L. P., Muraru D., Peluso D., Dal Bianco L., Petrovic D. J., Petrovic J., Schvartzman P., Fuchs F. D., Katova T., Simova I., Kaku K., Takeuchi M., Boyd A., Thomas L., Chia E. M., Schirmer H., Angelo L. C., Pereira A. C., Krieger J. E., Mill J. G., Rodrigues S. L., Muiesan M. L., Paini A., Rosei E. A., Salvetti M., Gardin J. M., Nagueh S. F., Altman D., Perera R., Triggs C. M., Au Yeung H., Beans Picon G. A., IZZO, RAFFAELE, DE LUCA, NICOLA, TRIMARCO, BRUNO, DE SIMONE, GIOVANNI, Anderson, T., Dyck, J., Ezekowitz, J. A., Chirinos, J. A., De Buyzere, M. L., Gillebert, T. C., Rietzschel, E., Segers, P., Van Daele, C. M., Doughty, R. N., Poppe, K. K., Walsh, H. A., Whalley, G. A., Izzo, Raffaele, DE LUCA, Nicola, Trimarco, Bruno, DE SIMONE, Giovanni, Chen, P. C., Chien, K. L., Lin, H. J., Su, T. C., Mogelvang, R., Jensen, J. S., Chadha, D. S., Goel, K., Misra, A., Detrano, R., Cameron, V., Richards, A. M., Troughton, R., Di Pasquale, P., Paterna, S., Duzenli, M. A., Hobbs, F. D. R., Davies, M. K., Davis, R. C., Roalfe, A., Calvert, M., Freemantle, N., Gill, P. S., Lip, G. Y. H., Kuznetsova, T., Staessen, J. A., Dargie, H. J., Ford, I., Mcdonagh, T. A., Mcmurray, J. J. V., Grossman, E., Galasko, G., Lahiri, A., Senior, R., Blauwet, L., Sliwa, K., Stewart, S., Brown, A., Carrington, M., Krum, H., Mcgrady, M., Zeitz, C., Dalen, H., Hansen, H. E. M., Støylen, A., Thorstensen, A., Daimon, M., Watanabe, H., Yoshikawa, J., Fukuda, S., Kim, H. K., Leung, N. K. W., Linhart, A., Chahal, N., Chambers, J. C., Kooner, J., Davies, J., Loke, I., Ng, L., Squire, I. B., Aune, E., Otterstad, J. E., Leung, D. Y., Ng, A. C. T., Ojji, D., Arnold, L., Coffey, S., D'Arcy, J., Hammond, C., Mabbett, C., Lima, C., Loudon, M., Pinheiro, N., Prendergast, B., Reynolds, R., Badano, L. P., Muraru, D., Peluso, D., Dal Bianco, L., Petrovic, D. J., Petrovic, J., Schvartzman, P., Fuchs, F. D., Katova, T., Simova, I., Kaku, K., Takeuchi, M., Boyd, A., Thomas, L., Chia, E. M., Schirmer, H., Angelo, L. C., Pereira, A. C., Krieger, J. E., Mill, J. G., Rodrigues, S. L., Muiesan, M. L., Paini, A., Rosei, E. A., Salvetti, M., Gardin, J. M., Nagueh, S. F., Altman, D., Perera, R., Triggs, C. M., Au Yeung, H., Beans Picon, G. A., and Badano, L

Subjects
Male, Pediatrics, International Cooperation, Left, Ethnic Group, Sex Factor, Ventricular Function, Left, Heart Ventricle, Cohort Studies, Echocardiography, Meta-analysis, Reference ranges, Adolescent, Adult, Age Factors, Aged, Aged, 80 and over, Atrial Function, Left, Ethnic Groups, Female, Heart Atria, Heart Ventricles, Humans, Middle Aged, Reference Standards, Sex Factors, Young Adult, Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Nuclear Medicine and Imaging, 80 and over, Ethnicity, Ventricular Function, Age Factor, Young adult, education.field_of_study, General Medicine, Atrial Function, Parametric Regression Method, Cohort, Cardiology, Radiology, Human, Cohort study, medicine.medical_specialty, Population, Internal medicine, medicine, Meta-analysi, Radiology, Nuclear Medicine and imaging, education, business.industry, Reference range, MED/11 - MALATTIE DELL'APPARATO CARDIOVASCOLARE, Quantile regression, Reference Standard, Normative, Cohort Studie, business
Abstract

Aim: To develop age-, sex-, and ethnic-Appropriate normative reference ranges for standard echocardiographic measurements of the left heart by combining echocardiographic measurements obtained from adult volunteers without clinical cardiovascular disease or significant cardiovascular risk factors, from multiple studies around the world.Methods and results: The Echocardiographic Normal Ranges Meta-Analysis of the Left heart (EchoNoRMAL) collaboration was established and population-based data sets of echocardiographic measurements combined to perform an individual person data meta-Analysis. Data from 43 studies were received, representing 51 222 subjects, of which 22 404 adults aged 18-80 years were without clinical cardiovascular or renal disease, hypertension or diabetes. Quantile regression or an appropriate parametric regression method will be used to derive reference values at the 5th and 95th centile of each measurement against age. Conclusion: This unique data set represents a large, multi-ethnic cohort of subjects resident in a wide range of countries. The resultant reference ranges will have wide applicability for normative data based on age, sex, and ethnicity. © The Author 2013.

Published
2013

35. Fatty acid biomarkers of dairy fat consumption and incidence of type 2 diabetes: A pooled analysis of prospective cohort studies

Author

Hattersley, AT, Imamura, F, Fretts, A, Marklund, M, Korat, AVA, Yang, W-S, Lankinen, M, Qureshi, W, Helmer, C, Chen, T-A, Wong, K, Bassett, JK, Murphy, R, Tintle, N, Yu, CI, Brouwer, IA, Chien, K-L, Frazier-Wood, AC, del Gobbo, LC, Djousse, L, Geleijnse, JM, Giles, GG, de Goede, J, Gudnason, V, Harris, WS, Hodge, A, Hu, F, Koulman, A, Laakso, M, Lind, L, Lin, H-J, McKnight, B, Rajaobelina, K, Riserus, U, Robinson, JG, Samieri, C, Siscovick, DS, Soedamah-Muthu, SS, Sotoodehnia, N, Sun, Q, Tsai, MY, Uusitupa, M, Wagenknecht, LE, Wareham, NJ, Wu, JHY, Micha, R, Forouhi, NG, Lemaitre, RN, Mozaffarian, D, Hattersley, AT, Imamura, F, Fretts, A, Marklund, M, Korat, AVA, Yang, W-S, Lankinen, M, Qureshi, W, Helmer, C, Chen, T-A, Wong, K, Bassett, JK, Murphy, R, Tintle, N, Yu, CI, Brouwer, IA, Chien, K-L, Frazier-Wood, AC, del Gobbo, LC, Djousse, L, Geleijnse, JM, Giles, GG, de Goede, J, Gudnason, V, Harris, WS, Hodge, A, Hu, F, Koulman, A, Laakso, M, Lind, L, Lin, H-J, McKnight, B, Rajaobelina, K, Riserus, U, Robinson, JG, Samieri, C, Siscovick, DS, Soedamah-Muthu, SS, Sotoodehnia, N, Sun, Q, Tsai, MY, Uusitupa, M, Wagenknecht, LE, Wareham, NJ, Wu, JHY, Micha, R, Forouhi, NG, Lemaitre, RN, and Mozaffarian, D

Abstract

BACKGROUND: We aimed to investigate prospective associations of circulating or adipose tissue odd-chain fatty acids 15:0 and 17:0 and trans-palmitoleic acid, t16:1n-7, as potential biomarkers of dairy fat intake, with incident type 2 diabetes (T2D). METHODS AND FINDINGS: Sixteen prospective cohorts from 12 countries (7 from the United States, 7 from Europe, 1 from Australia, 1 from Taiwan) performed new harmonised individual-level analysis for the prospective associations according to a standardised plan. In total, 63,682 participants with a broad range of baseline ages and BMIs and 15,180 incident cases of T2D over the average of 9 years of follow-up were evaluated. Study-specific results were pooled using inverse-variance-weighted meta-analysis. Prespecified interactions by age, sex, BMI, and race/ethnicity were explored in each cohort and were meta-analysed. Potential heterogeneity by cohort-specific characteristics (regions, lipid compartments used for fatty acid assays) was assessed with metaregression. After adjustment for potential confounders, including measures of adiposity (BMI, waist circumference) and lipogenesis (levels of palmitate, triglycerides), higher levels of 15:0, 17:0, and t16:1n-7 were associated with lower incidence of T2D. In the most adjusted model, the hazard ratio (95% CI) for incident T2D per cohort-specific 10th to 90th percentile range of 15:0 was 0.80 (0.73-0.87); of 17:0, 0.65 (0.59-0.72); of t16:1n7, 0.82 (0.70-0.96); and of their sum, 0.71 (0.63-0.79). In exploratory analyses, similar associations for 15:0, 17:0, and the sum of all three fatty acids were present in both genders but stronger in women than in men (pinteraction < 0.001). Whereas studying associations with biomarkers has several advantages, as limitations, the biomarkers do not distinguish between different food sources of dairy fat (e.g., cheese, yogurt, milk), and residual confounding by unmeasured or imprecisely measured confounders may exist. CONCLUSIONS: In a larg

Published
2018

36. Pre-diagnostic blood immune markers, incidence and progression of B-cell lymphoma and multiple myeloma: Univariate and functionally informed multivariate analyses

Author

Vermeulen, R, Saberi Hosnijeh, Fatemeh, Bodinier, B, Portengen, L, Liquet, B, Garrido-Manriquez, J, Lokhorst, H, Bergdahl, I A, Kyrtopoulos, SA, Johansson, AS, Georgiadis, P, Melin, B, Palli, D, Krogh, V, Panico, S, Sacerdote, C, Tumino, R, Vineis, P, Castagne, R, Chadeau-Hyam, M, Botsivali, M, Chatziioannou, A, Valavanis, I, Kleinjans, JCS, de Kok, T, Keun, HC, Athersuch, TJ, Kelly, Reulaina, Lenner, P, Hallmans, G, Stephanou, EG, Myridakis, A, Kogevinas, M, Fazzo, L, De Santis, M, Comba, P, Bendinelli, B, Kiviranta, H, Rantakokko, P, Airaksinen, R, Ruokojarvi, P, Gilthorpe, M, Fleming, S, Fleming, T, Tu, YK, Lundh, T, Chien, K L, Chen, WJ, Lee, WC, Hsiao, CK, Kuo, PH, Hung, H, Liao, SF, Vermeulen, R, Saberi Hosnijeh, Fatemeh, Bodinier, B, Portengen, L, Liquet, B, Garrido-Manriquez, J, Lokhorst, H, Bergdahl, I A, Kyrtopoulos, SA, Johansson, AS, Georgiadis, P, Melin, B, Palli, D, Krogh, V, Panico, S, Sacerdote, C, Tumino, R, Vineis, P, Castagne, R, Chadeau-Hyam, M, Botsivali, M, Chatziioannou, A, Valavanis, I, Kleinjans, JCS, de Kok, T, Keun, HC, Athersuch, TJ, Kelly, Reulaina, Lenner, P, Hallmans, G, Stephanou, EG, Myridakis, A, Kogevinas, M, Fazzo, L, De Santis, M, Comba, P, Bendinelli, B, Kiviranta, H, Rantakokko, P, Airaksinen, R, Ruokojarvi, P, Gilthorpe, M, Fleming, S, Fleming, T, Tu, YK, Lundh, T, Chien, K L, Chen, WJ, Lee, WC, Hsiao, CK, Kuo, PH, Hung, H, and Liao, SF

Published
2018

37. Predictive value for cardiovascular events of common carotid intima media thickness and its rate of change in individuals at high cardiovascular risk - Results from the PROG-IMT collaboration

Author

Lorenz, MW, Gao, L, Ziegelbauer, K, Norata, GD, Empana, JP, Schmidtmann, I, Lin, H J, McLachlan, S, Bokemark, L, Ronkainen, K, Amato, M, Schminke, U, Srinivasan, SR (Sathanur), Lind, L, Okazaki, S, Stehouwer, CDA, Willeit, P, Polak, JF, Steinmetz, H, Sander, D, Poppert, H, Desvarieux, M, Ikram, Arfan, Johnsen, SH, Staub, D, Sirtori, CR, Igiseder, B, Beloqui, O, Engstrom, G, Friera, A, Rozza, F, Xie, WX, Parraga, G, Grigore, L, Plichart, M, Blankenberg, S, Su, T C, Schmidt, C, Tuomainen, TP, Veglia, F, Volzke, H, Nijpels, G, Willeit, J, Sacco, RL, Franco Duran, OH, Uthoff, H, Hedblad, B, Suarez, C, Izzo, R, Zhao, D (Dan), Wannarong, T, Catapano, A, Ducimetiere, P, Espinola-Klein, C, Chien, K L, Price, JF, Bergstrom, G, Kauhanen, J, Tremoli, E, Dorr, M, Berenson, G, Kitagawa, K, Dekker, JM, Kiechl, S, Sitzer, M, Bickel, H, Rundek, T, Hofman, Bert, Mathiesen, EB, Castelnuovo, S, Landecho, MF, Rosvall, M, Gabriel, R, Luca, N, Liu, J, Baldassarre, D, Kavousi, Maryam, de Groot, E, Bots, ML, Yanez, D N, Lorenz, MW, Gao, L, Ziegelbauer, K, Norata, GD, Empana, JP, Schmidtmann, I, Lin, H J, McLachlan, S, Bokemark, L, Ronkainen, K, Amato, M, Schminke, U, Srinivasan, SR (Sathanur), Lind, L, Okazaki, S, Stehouwer, CDA, Willeit, P, Polak, JF, Steinmetz, H, Sander, D, Poppert, H, Desvarieux, M, Ikram, Arfan, Johnsen, SH, Staub, D, Sirtori, CR, Igiseder, B, Beloqui, O, Engstrom, G, Friera, A, Rozza, F, Xie, WX, Parraga, G, Grigore, L, Plichart, M, Blankenberg, S, Su, T C, Schmidt, C, Tuomainen, TP, Veglia, F, Volzke, H, Nijpels, G, Willeit, J, Sacco, RL, Franco Duran, OH, Uthoff, H, Hedblad, B, Suarez, C, Izzo, R, Zhao, D (Dan), Wannarong, T, Catapano, A, Ducimetiere, P, Espinola-Klein, C, Chien, K L, Price, JF, Bergstrom, G, Kauhanen, J, Tremoli, E, Dorr, M, Berenson, G, Kitagawa, K, Dekker, JM, Kiechl, S, Sitzer, M, Bickel, H, Rundek, T, Hofman, Bert, Mathiesen, EB, Castelnuovo, S, Landecho, MF, Rosvall, M, Gabriel, R, Luca, N, Liu, J, Baldassarre, D, Kavousi, Maryam, de Groot, E, Bots, ML, and Yanez, D N

Published
2018

38. Chronic kidney disease–related osteoporosis is associated with incident frailty among patients with diabetic kidney disease: a propensity score–matched cohort study.

Author

Chao, C.-T., Wang, J., Huang, J.-W., Chan, D.-C., Hung, K.-Y., and Chien, K.-L.

Subjects
CHRONIC kidney failure complications, AGE distribution, CONFIDENCE intervals, DIABETIC nephropathies, FRAIL elderly, PATIENT aftercare, LONGITUDINAL method, OSTEOPOROSIS, REGRESSION analysis, SEX distribution, COMORBIDITY, PROPORTIONAL hazards models, DESCRIPTIVE statistics, KAPLAN-Meier estimator, DISEASE complications, DISEASE risk factors
Abstract

Summary: Chronic kidney disease (CKD)-related osteoporosis is a major complication in patients with CKD, conferring a higher risk of adverse outcomes. We found that among those with diabetic kidney disease, this complication increased the risk of incident frailty, an important mediator of adverse outcomes. Introduction: Renal osteodystrophy and chronic kidney disease (CKD)-related osteoporosis increases complications for patients with diabetic kidney disease (DKD). Since musculoskeletal degeneration is central to frailty development, we investigated the relationship between baseline osteoporosis and the subsequent frailty risk in patients with DKD. Methods: From the Longitudinal Cohort of Diabetes Patients in Taiwan (n = 840,000), we identified 12,027 patients having DKD with osteoporosis and 24,054 propensity score-matched controls having DKD but without osteoporosis. The primary endpoint was incident frailty on the basis of a modified FRAIL scale. Patients were prospectively followed-up until the development of endpoints or the end of this study. The Kaplan-Meier technique and Cox proportional hazard regression were used to analyze the association between osteoporosis at baseline and incident frailty in these patients. Results: The mean age of the DKD patients was 67.2 years, with 55.4% female and a 12.6% prevalence of osteoporosis at baseline. After 3.5 ± 2.2 years of follow up, the incidence rate of frailty in patients having DKD with osteoporosis was higher than that in DKD patients without (6.6 vs. 5.7 per 1000 patient-year, p = 0.04). A Cox proportional hazard regression showed that after accounting for age, gender, obesity, comorbidities, and medications, patients having DKD with osteoporosis had a significantly higher risk of developing frailty (hazard ratio, 1.19; 95% confidence interval, 1.02–1.38) than those without osteoporosis. Conclusions: CKD-related osteoporosis is associated with a higher risk of incident frailty in patients with DKD. [ABSTRACT FROM AUTHOR]

Published
2020
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39. Automatic identification of variables in epidemiological datasets using logic regression

Author

Lorenz, M.W. (Matthias W.), Abdi, N.A. (Negin Ashtiani), Scheckenbach, F. (Frank), Pflug, A. (Anja), Bulbul, A. (Alpaslan), Catapano, A.L. (Alberico), Agewall, S. (Stefan), Ezhov, M. (Marat), Bots, M.L. (Michiel), Kiechl, S. (Stefan), Orth, A. (Andreas), Norata, G.D. (Giuseppe), Empana, J.P. (Jean Philippe), Lin, H.-J. (Hung-Ju), McLachlan, S. (Stela), Bokemark, L. (Lena), Ronkainen, K. (Kimmo), Amato, M. (Mauro), Schminke, U. (Ulf), Srinivasan, S.R. (Sathanur R.), Lind, L. (Lars), Kato, A. (Akihiko), Dimitriadis, C. (Chrystosomos), Przewlocki, T. (Tadeusz), Okazaki, S. (Shuhei), Stehouwer, C.D. (Coen), Lazarevic, T. (Tatjana), Willeit, J. (Johann), Yanez, D.N. (David N.), Steinmetz, H. (helmuth), Sander, D. (Dirk), Poppert, H. (Holger), Desvarieux, M. (Moise), Ikram, M.A. (Arfan), Bevc, S. (Sebastjan), Staub, D. (Daniel), Sirtori, C.R. (Cesare R.), Iglseder, B. (Bernhard), Engström, G., Tripepi, G.L. (Giovanni), Beloqui, O. (Oscar), Lee, M.-S. (Moo-Sik), Friera, A. (Alfonsa), Xie, W. (Wuxiang), Grigore, L. (Liliana), Plichart, M. (Matthieu), Su, T.-C. (Ta-Chen), Robertson, C.M. (Christine M), Schmidt, C. (Caroline), Tuomainen, T.-P. (Tomi-Pekka), Veglia, F. (Fabrizio), Völzke, H. (Henry), Nijpels, M.G.A.A.M. (Giel), Jovanovic, A. (Aleksandar), Sacco, R.L. (Ralph L.), Franco, O.H. (Oscar), Hojs, R. (Radovan), Uthoff, H. (Heiko), Hedblad, B. (Bo), Park, H.W. (Hyun Woong), Suarez, C. (Carmen), Zhao, D. (Dong), Catapano, A. (Alberico), Ducimetiere, P. (P.), Chien, K.-L. (Kuo-Liong), Price, J.F. (Jackie F.), Bergstrom, G. (Goran), Kauhanen, J. (Jussi), Tremoli, E. (Elena), Dörr, M. (Marcus), Berenson, G. (Gerald), Papagianni, A. (Aikaterini), Kablak-Ziembicka, A. (Anna), Kitagawa, K. (Kazuo), Dekker, J.M. (Jacqueline), Stolic, R. (Radojica), Polak, J.F. (Joseph F.), Sitzer, M. (Matthias), Bickel, H. (Horst), Rundek, T. (Tatjana), Hofman, A. (Albert), Ekart, R. (Robert), Frauchiger, B. (Beat), Castelnuovo, S. (Samuela), Rosvall, M. (Maria), Zoccali, C. (Carmine), Landecho, M.F. (Manuel F.), Bae, J.-H. (Jang-Ho), Gabriel, R. (Rafael), Liu, J. (Jing), Baldassarre, D. (Damiano), Kavousi, M. (Maryam), Lorenz, M.W. (Matthias W.), Abdi, N.A. (Negin Ashtiani), Scheckenbach, F. (Frank), Pflug, A. (Anja), Bulbul, A. (Alpaslan), Catapano, A.L. (Alberico), Agewall, S. (Stefan), Ezhov, M. (Marat), Bots, M.L. (Michiel), Kiechl, S. (Stefan), Orth, A. (Andreas), Norata, G.D. (Giuseppe), Empana, J.P. (Jean Philippe), Lin, H.-J. (Hung-Ju), McLachlan, S. (Stela), Bokemark, L. (Lena), Ronkainen, K. (Kimmo), Amato, M. (Mauro), Schminke, U. (Ulf), Srinivasan, S.R. (Sathanur R.), Lind, L. (Lars), Kato, A. (Akihiko), Dimitriadis, C. (Chrystosomos), Przewlocki, T. (Tadeusz), Okazaki, S. (Shuhei), Stehouwer, C.D. (Coen), Lazarevic, T. (Tatjana), Willeit, J. (Johann), Yanez, D.N. (David N.), Steinmetz, H. (helmuth), Sander, D. (Dirk), Poppert, H. (Holger), Desvarieux, M. (Moise), Ikram, M.A. (Arfan), Bevc, S. (Sebastjan), Staub, D. (Daniel), Sirtori, C.R. (Cesare R.), Iglseder, B. (Bernhard), Engström, G., Tripepi, G.L. (Giovanni), Beloqui, O. (Oscar), Lee, M.-S. (Moo-Sik), Friera, A. (Alfonsa), Xie, W. (Wuxiang), Grigore, L. (Liliana), Plichart, M. (Matthieu), Su, T.-C. (Ta-Chen), Robertson, C.M. (Christine M), Schmidt, C. (Caroline), Tuomainen, T.-P. (Tomi-Pekka), Veglia, F. (Fabrizio), Völzke, H. (Henry), Nijpels, M.G.A.A.M. (Giel), Jovanovic, A. (Aleksandar), Sacco, R.L. (Ralph L.), Franco, O.H. (Oscar), Hojs, R. (Radovan), Uthoff, H. (Heiko), Hedblad, B. (Bo), Park, H.W. (Hyun Woong), Suarez, C. (Carmen), Zhao, D. (Dong), Catapano, A. (Alberico), Ducimetiere, P. (P.), Chien, K.-L. (Kuo-Liong), Price, J.F. (Jackie F.), Bergstrom, G. (Goran), Kauhanen, J. (Jussi), Tremoli, E. (Elena), Dörr, M. (Marcus), Berenson, G. (Gerald), Papagianni, A. (Aikaterini), Kablak-Ziembicka, A. (Anna), Kitagawa, K. (Kazuo), Dekker, J.M. (Jacqueline), Stolic, R. (Radojica), Polak, J.F. (Joseph F.), Sitzer, M. (Matthias), Bickel, H. (Horst), Rundek, T. (Tatjana), Hofman, A. (Albert), Ekart, R. (Robert), Frauchiger, B. (Beat), Castelnuovo, S. (Samuela), Rosvall, M. (Maria), Zoccali, C. (Carmine), Landecho, M.F. (Manuel F.), Bae, J.-H. (Jang-Ho), Gabriel, R. (Rafael), Liu, J. (Jing), Baldassarre, D. (Damiano), and Kavousi, M. (Maryam)

Abstract

Background: For an individual participant data (IPD) meta-analysis, multiple datasets must be transformed in a consistent format, e.g. using uniform variable names. When large numbers of datasets have to be processed, this can be a time-consuming and error-prone task. Automated or semi-automated identification of variables can help to reduce the workload and improve the data quality. For semi-automation high sensitivity in the recognition of matching variables is particularly important, because it allows creating software which for a target variable presents a choice of source variables, from which a user can choose the matching one, with only low risk of having missed a correct source variable. Methods: For each variable in a set of target variables, a number of simple rules were manually created. With logic regression, an optimal Boolean combination of these rules was searched for every target variable, using a random subset of a large database of epidemiological and clinical cohort data (construction subset). In a second subset of this database (validation subset), this optimal combination rules were validated. Results: In the construction sample, 41 target variables were allocated on average with a positive predictive value (PPV) of 34%, and a negative predictive value (NPV) of 95%. In the validation sample, PPV was 33%, whereas NPV remained at 94%. In the construction sample, PPV was 50% or less in 63% of all variables, in the validation sample in 71% of all variables. Conclusions: We demonstrated that the application of logic regression in a complex data management task in large epidemiological IPD meta-analyses is feasible. However, the performance of the algorithm is poor, which may require backup strategies.

Published
2017
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40. Ethnic-specific normative reference values for echocardiographic la and LV size, LV mass, and systolic function: The EchoNoRMAL study

Author

Poppe, K. K., Doughty, R. N., Gardin, J. M., Nagueh, S. F., Whalley, G. A., Cameron, V., Chadha, D. S., Chien, K. L., Detrano, R., Akif Duzenli, M., Ezekowitz, J., Di Pasquale, P., Mogelvang, R., Altman, D. G., Perera, R., Triggs, C. M., Au Yeung, H., Beans Picon, G. A., Anderson, T., Dyck, J., Ezekowitz, J. A., Chirinos, J. A., De Buyzere, M. L., Gillebert, T. C., Rietzschel, E., Segers, P., Van daele, C. M., Walsh, H. A., Izzo, R., De Luca, N., Trimarco, B., De Simone, G., Goel, K., Misra, A., Chen, P. C., Lin, H. J., T. C., Su, Richards, A. M., Troughton, R., Skov Jensen, J., Paterna, S., Hobbs, F. D. R., Davies, M. K., Davis, R. C., Roalfe, A., Calvert, M., Freemantle, N., Gill, P. S., Lip, G. Y. H., Kuznetsova, T., Staessen, J. A., Dargie, H. J., Ford, I., Mcdonagh, T. A., Mcmurray, J. J. V., Grossman, E., Galasko, G., Lahiri, A., Senior, R., Brown, A., Carrington, M., Krum, H., Mcgrady, M., Stewart, S., Zeitz, C., Blauwet, L., Sliwa, K., Dalen, H., Moelmen Hansen, H. E., Stoylen, A., Thorstensen, A., Daimon, M., Watanabe, H., Yoshikawa, J., Fukuda, S., Kim, H. K., Leung, N. K. W., Linhart, A., Chahal, N., Chambers, J. C., Kooner, J., Davies, J., Loke, I., Ng, L., Squire, I. B., Aune, E., Otterstad, J. E., Leung, D. Y., A. C. T., Ng, Ojji, D., Arnold, L., Coffey, S., D'Arcy, J., Hammond, C., Mabbett, C., Lima, C., Loudon, M., Pinheiro, N., Prendergast, B., Reynolds, R., Badano, L. P., Muraru, D., Peluso, D., DAL BIANCO, Laura, Petrovic, D. J., Petrovic, J., Schvartzman, P., Fuchs, F. D., Katova, T., Simova, I., Kaku, K., Takeuchi, M., Boyd, A., Chia, E. M., Thomas, L., Schirmer, H., Angelo, L. C., Pereira, A. C., Krieger, J. E., Mill, J. G., Rodrigues, S. L., Muiesan, Maria Lorenza, Paini, Anna, AGABITI ROSEI, Enrico, and Salvetti, Massimo

Subjects
Nuclear Medicine and Imaging, echocardiography, ethnic appropriate, reference ranges, Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Radiology
Published
2015

41. Risk of Myocardial Infarction and Ischemic Stroke after Dental Treatments.

Author

Chen, T. T., D'Aiuto, F., Yeh, Y. C., Lai, M. S., Chien, K. L., and Tu, Y. K.

Subjects
MYOCARDIAL infarction, STROKE, HEALTH risk assessment, DENTAL care, LOGISTIC regression analysis, COMORBIDITY, ODDS ratio, ORAL microbiology, ORAL surgery, MYOCARDIAL infarction diagnosis, STROKE diagnosis, HEALTH insurance statistics, CEREBRAL ischemia, COMPARATIVE studies, CROSSOVER trials, RESEARCH methodology, MEDICAL cooperation, RESEARCH, EVALUATION research, RETROSPECTIVE studies, CASE-control method
Abstract

The association between invasive dental treatments (IDTs) and a short-term risk of myocardial infarction (MI) and ischemic stroke (IS) remains controversial. Bacterial dissemination from the oral cavity and systemic inflammation linked to IDT can induce a state of acute vascular dysfunction. The aim of study is to investigate the relation of IDTs to MI and IS by using case-only study designs to analyze data from a large Taiwanese cohort. A nationwide population-based study was undertaken by using the case-crossover and self-controlled case series design to analyze the Taiwanese National Health Care Claim database. Conditional logistic regression model and conditional Poisson regression model were used to estimate the risks of MI/IS. In addition, we used burn patients as negative controls to explore the potential effect of residual confounding. In total, 123,819 MI patients and 327,179 IS patients in the case-crossover design and 117,655 MI patients and 298,757 IS patients were included in the self-controlled case series design. Results from both study designs showed that the risk of MI within the first 24 wk after IDT was not significantly different from or close to unity except for a modest risk during the first week for patients without other comorbidities (odds ratios [95% confidence intervals] of 1.31 [1.08-1.58] and 1.15 [1.01-1.31] for 3 d and 7 d, respectively). We also observed no association between IDTs and IS, or the risk ratio was close to unity. IDTs did not appear to be associated with a transient risk of MI and IS in the Taiwanese population, with consistent findings from both case-only study designs. However, we cannot exclude that dental infections and diseases may yield a long-term risk of MI and IS. [ABSTRACT FROM AUTHOR]

Published
2019
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42. Unravelling the effects of age, period and cohort on metabolic syndrome components in a Taiwanese population using partial least squares regression

Author

Tu, Y-K, Chien, K-L, Burley, V, and Gilthorpe, MS

Abstract

Background: We investigate whether the changing environment caused by rapid economic growth yielded differential effects for successive Taiwanese generations on 8 components of metabolic syndrome (MetS): body mass index (BMI), systolic blood pressure (SBP), diastolic blood pressure (DBP), fasting plasma glucose (FPG), triglycerides (TG), high-density lipoprotein (HDL), Low-density lipoproteins (LDL) and uric acid (UA). Methods: To assess the impact of age, birth year and year of examination on MetS components, we used partial least squares regression to analyze data collected by Mei-Jaw clinics in Taiwan in years 1996 and 2006. Confounders, such as the number of years in formal education, alcohol intake, smoking history status, and betel-nut chewing were adjusted for. Results: As the age of individuals increased, the values of components generally increased except for UA. Men born after 1970 had lower FPG, lower BMI, lower DBP, lower TG, Lower LDL and greater HDL; women born after 1970 had lower BMI, lower DBP, lower TG, Lower LDL and greater HDL and UA. There is a similar pattern between the trend in levels of metabolic syndrome components against birth year of birth and economic growth in Taiwan. Conclusions: We found cohort effects in some MetS components, suggesting associations between the changing environment and health outcomes in later life. This ecological association is worthy of further investigation.

Published
2011

44. Inflammatory markers and extent and progression of early atherosclerosis : Pooled analysis of individual participant data from 20 prospective studies of the PROG-IMT collaboration

Author

Willeit, P., Thompson, S. G., Agewall, S., Bergstrom, G., Bickel, H., Catapano, A. L., Chien, K. L., de Groot, E., Empana, J. P., Etgen, T., Franco, O. H., Iglseder, B., Johnsen, S. H., Kavousi, M., Lind, Lars, Liu, J., Mathiesen, E. B., Norata, G. D., Olsen, M. H., Papagianni, A., Poppert, H., Price, J. F., Sacco, R. L., Yanez, D. N., Zhao, D., Schminke, U., Buelbuel, A., Polak, J. F., Sitzer, M., Hofman, A., Grigore, L., Doerr, M., Su, T. C., Ducimetiere, P., Xie, W., Ronkainen, K., Kiechl, S., Rundek, T., Robertson, C., Fagerberg, B., Bokemark, L., Steinmetz, H., Ikram, M. A., Voelzke, H., Lin, H. J., Plichart, M., Tuomainen, T. P., Desvarieux, M., McLachlan, S., Schmidt, C., Kauhanen, J., Willeit, J., Lorenz, M. W., Sander, D., Willeit, P., Thompson, S. G., Agewall, S., Bergstrom, G., Bickel, H., Catapano, A. L., Chien, K. L., de Groot, E., Empana, J. P., Etgen, T., Franco, O. H., Iglseder, B., Johnsen, S. H., Kavousi, M., Lind, Lars, Liu, J., Mathiesen, E. B., Norata, G. D., Olsen, M. H., Papagianni, A., Poppert, H., Price, J. F., Sacco, R. L., Yanez, D. N., Zhao, D., Schminke, U., Buelbuel, A., Polak, J. F., Sitzer, M., Hofman, A., Grigore, L., Doerr, M., Su, T. C., Ducimetiere, P., Xie, W., Ronkainen, K., Kiechl, S., Rundek, T., Robertson, C., Fagerberg, B., Bokemark, L., Steinmetz, H., Ikram, M. A., Voelzke, H., Lin, H. J., Plichart, M., Tuomainen, T. P., Desvarieux, M., McLachlan, S., Schmidt, C., Kauhanen, J., Willeit, J., Lorenz, M. W., and Sander, D.

Published
2014

46. Hypertension

Author

Shin, S. J., primary, Rhee, M.-Y., additional, Lim, C., additional, Lavoz, C., additional, Rodrigues-Di;ez, R., additional, Rayego-Mateos, S., additional, Benito-Martin, A., additional, Rodrigues-Diez, R., additional, Alique, M., additional, Ortiz, A., additional, Mezzano, S., additional, Ruiz-Ortega, M., additional, Axelsson, J., additional, Rippe, A., additional, Sverrisson, K., additional, Rippe, B., additional, Calo, L., additional, Dal Maso, L., additional, Pagnin, E., additional, Caielli, P., additional, Spanos, G., additional, Kalaitzidis, R., additional, Karasavvidou, D., additional, Pappas, K., additional, Balafa, O., additional, Siamopoulos, K., additional, Fang, T.-C., additional, Lee, T. J. F., additional, Pappas, E., additional, Ermeidi, E., additional, Tatsioni, A., additional, Blazquez-Medela, A., additional, Garcia-Sanchez, O., additional, Quiros, Y., additional, Lopez-Hernandez, F. J., additional, Lopez-Novoa, J. M., additional, Martinez-Salgado, C., additional, Wu, H.-Y., additional, Peng, Y.-S., additional, Hung, K.-Y., additional, Tsai, T.-J., additional, Tu, Y.-K., additional, Chien, K.-L., additional, Larsen, T., additional, Mose, F. H., additional, Hansen, A. B., additional, Pedersen, E. B., additional, Quiroz, Y., additional, Rivero, M., additional, Yaguas, K., additional, Rodriguez-Iturbe, B., additional, Xydakis, D., additional, Sfakianaki, M., additional, Petra, C., additional, Maragaki, E., additional, Antonaki, E., additional, Krasoudaki, E., additional, Kostakis, K., additional, Stylianou, K., additional, Papadogiannakis, A., additional, Sagliker, Y., additional, Paylar, N., additional, Heidland, A., additional, Keck, A., additional, Erek, R., additional, Kolasin, P., additional, S Ozkaynak, P., additional, Sagliker, H. S., additional, Gokcay, I., additional, Ritz, E., additional, Koleganova, N., additional, Gross-Weissmann, M.-L., additional, Piecha, G., additional, Reinecke, N., additional, Marquez Cunha, T., additional, M . S. Higa, E., additional, Pfeferman Heilberg, I., additional, Neder, J. A., additional, Nishiura, J. L., additional, Silva Almeida, W., additional, Schor, N., additional, Tapia, E., additional, Sanchez-Lozada, L. G., additional, Cristobal, M., additional, Soto, V., additional, Garci;a-Arroyo, F., additional, Monroy-Sanchez, F., additional, Madero, M., additional, Johnson, R., additional, Kim, S. M., additional, Yang, S. H., additional, Kim, Y. S., additional, Karanovic, S., additional, Fistrek, M., additional, Kos, J., additional, Pecin, I., additional, Premuzic, V., additional, Abramovic, M., additional, Matijevic, V., additional, Cvoriscec, D., additional, Cvitkovic, A., additional, Knezevic, M., additional, Bitunjac, M., additional, Laganovic, M., additional, Jelakovic, B., additional, Liu, F., additional, Wu, M., additional, Fu, P., additional, Klok Matthesen, S., additional, Guldager Lauridsen, T., additional, Vase, H., additional, Gjorup Holland, P., additional, Nykjaer, K. M., additional, Nielsen, S., additional, Bjerregaard Pedersen, E., additional, Montero, M. J., additional, Vink, E., additional, Willemien, V., additional, Michiel, V., additional, Wilko, S., additional, Evert-Jan, V., additional, Blankestijn, P., additional, Zerbi, S., additional, Pedrini, L. A., additional, Zbroch, E., additional, Malyszko, J., additional, Koc-Zorawska, E., additional, Mysliwiec, M., additional, Quelhas-Santos, J., additional, Serrao, P., additional, Soares-Silva, I., additional, Tang, L., additional, Sampaio-Maia, B., additional, Desir, G., additional, Pestana, M., additional, Elsurer, R., additional, Demir, T., additional, Celik, G., additional, Yavas, M., additional, Yavas, O., additional, Murphy, M., additional, Jacquillet, G., additional, Unwin, R. J., additional, Chichger, H., additional, Shirley, D. G., additional, Caraba, A., additional, Andreea, M., additional, Corina, S., additional, Ioan, R., additional, Nowicki, M., additional, Bobik, M., additional, Pawelec, A., additional, Lacisz, J., additional, Zapala, A., additional, Bryc, K., additional, Esposito, C., additional, Scaramuzzi, M. L., additional, Manini, A., additional, Torreggiani, M., additional, Beneventi, F., additional, Spinillo, A., additional, Grosjean, F., additional, Fasoli, G., additional, Dal Canton, A., additional, Christos, C., additional, Bernhard M.W., S., additional, Martin, N., additional, Jan, K., additional, Claus, M., additional, Leyla, R., additional, Jan, B., additional, Ulrich, K., additional, Hermann, H., additional, Menne, J., additional, Pavicevic, M., additional, Markovic, S., additional, and Igrutinovic, Z., additional

Published
2012
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47. Diabetes - Clinical

Author

Turgutalp, K., primary, Ozhan, O., additional, Akbay, E., additional, Tiftik, N., additional, Ozcan, T., additional, Yilmaz, S., additional, Kiykim, A., additional, Wu, H.-Y., additional, Peng, Y.-S., additional, Huang, J.-W., additional, Wu, K.-D., additional, Tu, Y.-K., additional, Chien, K.-L., additional, Kacso, I. M., additional, Moldovan, D., additional, Lenghel, A., additional, Rusu, C. C., additional, Gherman Caprioara, M., additional, Silva, A. P., additional, Fragoso, A., additional, Pinho, A., additional, Silva, C., additional, Santos, N., additional, Tavares, N., additional, Faisca, M., additional, Camacho, A., additional, Mesquita, F., additional, Leao, P., additional, Rato, F., additional, Oh, D.-J., additional, Kim, H.-R., additional, Kim, S.-H., additional, Okasha, K., additional, Sweilam, M., additional, Nagy, H., additional, Hassan Rizk, M., additional, Kirkpantur, A., additional, Afsar, B., additional, Chae, D.-W., additional, Chin, H. J., additional, Kim, S., additional, Fallahzadeh Abarghouei, M. K., additional, Dormanesh, B., additional, Roozbeh, J., additional, Kamali-Sarvestani, E., additional, Vessal, G., additional, Pakfetrat, M., additional, Sagheb, M. M., additional, Imasawa, T., additional, Nishimura, M., additional, Kawaguchi, T., additional, Ishibashi, R., additional, Kitamura, H., additional, Vlad, A., additional, Petrica, L., additional, Petrica, M., additional, Jianu, D. C., additional, Gluhovschi, G., additional, Ianculescu, C., additional, Negru, M., additional, Dumitrascu, V., additional, Gadalean, F., additional, Zamfir, A., additional, Popescu, C., additional, Giju, S., additional, Gluhovschi, C., additional, Velciov, S., additional, Milas, O., additional, Balgradean, C., additional, Ursoniu, S., additional, Soltysiak, J., additional, Zachwieja, J., additional, Fichna, P., additional, Lipkowska, K., additional, Skowronska, B., additional, Stankiewicz, W., additional, Stachowiak-Lewandowska, M., additional, Kluska-Jozwiak, A., additional, Afghahi, H., additional, Prasad, N., additional, Bhadauria, D., additional, Gupta, A., additional, Sharma, R. K., additional, Kaul, A., additional, Jain, M., additional, Loboda, O., additional, Dudar, I., additional, Korol, L., additional, Shifris, I., additional, Ito, K., additional, Abe, Y., additional, Ogahara, S., additional, Yasuno, T., additional, Watanabe, M., additional, Sasatomi, Y., additional, Hisano, S., additional, Nakashima, H., additional, Saito, T., additional, Nogaibayeva, A., additional, Tuganbekova, S., additional, Taubaldiyeva, Z., additional, Bekishev, B., additional, Trimova, R., additional, Topchii, I., additional, Semenovykh, P., additional, Galchiskaya, V., additional, Efimova, N., additional, Scherban, T., additional, Yasuda, F., additional, Shimizu, A., additional, MII, A., additional, Fukui, M., additional, Postorino, M., additional, Alessi, E., additional, Dal Moro, E., additional, Postorino, S., additional, Mannino, G., additional, Giandalia, A., additional, Mannino, D., additional, Pontrelli, P., additional, Conserva, F., additional, Accetturo, M., additional, Papale, M., additional, DI Palma, A. M., additional, Cordisco, G., additional, Grandaliano, G., additional, Gesualdo, L., additional, Kimoto, E., additional, Shoji, T., additional, Sonoda, M., additional, Shima, H., additional, Tsuchikura, S., additional, Mori, K., additional, Emoto, M., additional, Ishimura, E., additional, Nishizawa, Y., additional, Inaba, M., additional, Vogel, C., additional, Scholbach, T., additional, Bergner, N., additional, Lioudaki, E., additional, Stylianou, K., additional, Maragkaki, E., additional, Stratakis, S., additional, Panteri, M., additional, Choulaki, C., additional, Vardaki, E., additional, Ganotakis, E., additional, Daphnis, E., additional, Iqbal, M., additional, Ahmed, Z., additional, Mansur, M., additional, Iqbal, S., additional, Choudhury, S., additional, Nahar, N., additional, Ali, S., additional, Ahmed, T., additional, Alam, A., additional, Rahman, Z., additional, Islam, M., additional, Azad Khan, A., additional, Ogawa, A., additional, Sugiyama, H., additional, Kitagawa, M., additional, Morinaga, H., additional, Inoue, T., additional, Takiue, K., additional, Kikumoto, Y., additional, Uchida, H. A., additional, Kitamura, S., additional, Maeshima, Y., additional, Tsuchiyama, Y., additional, Makino, H., additional, Nazemian, F., additional, Jafari, M., additional, Zahed, N. O. S., additional, Javidi Dasht Bayaz, R., additional, DI Paolo, S., additional, Vocino, G., additional, DI Palma, A., additional, Federica, C., additional, Rocchetti, M. T., additional, Prajitno, C. W., additional, Ismail, G., additional, Ditoiu, A., additional, Stanciu, S., additional, Herlea, V., additional, Motoi, O., additional, Striker, G., additional, Uribarri, J., additional, Vlassara, H., additional, Gul, B., additional, Oz Gul, O., additional, Yildiz, A., additional, Eroglu, A., additional, Keni, N., additional, Ersoy, C., additional, Ersoy, A., additional, Imamoglu, S., additional, and Yurtkuran, M., additional

Published
2012
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