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Several type 2 diabetes-associated variants in genes annotated to WNT signaling interact with dietary fiber in relation to incidence of type 2 diabetes.

Genes & nutrition

Hindy G, Mollet IG, Rukh G, Ericson U, Orho-Melander M.
PMID: 27551309
Genes Nutr. 2016 Mar 21;11:6. doi: 10.1186/s12263-016-0524-4. eCollection 2016.

BACKGROUND: TCF7L2 is a central transcription factor in the canonical wingless-type MMTV integration site (WNT) signaling pathway, and genetic variants in TCF7L2 have been found to interact with dietary fiber intake on type 2 diabetes risk. Here, we investigate...

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Hindy G, Mollet IG, Rukh G, et al. Several type 2 diabetes-associated variants in genes annotated to WNT signaling interact with dietary fiber in relation to incidence of type 2 diabetes. Genes Nutr. 2016;11:6doi: 10.1186/s12263-016-0524-4.
Hindy, G., Mollet, I. G., Rukh, G., Ericson, U., & Orho-Melander, M. (2016). Several type 2 diabetes-associated variants in genes annotated to WNT signaling interact with dietary fiber in relation to incidence of type 2 diabetes. Genes & nutrition, 116. https://doi.org/10.1186/s12263-016-0524-4
Hindy, George, et al. "Several type 2 diabetes-associated variants in genes annotated to WNT signaling interact with dietary fiber in relation to incidence of type 2 diabetes." Genes & nutrition vol. 11 (2016): 6. doi: https://doi.org/10.1186/s12263-016-0524-4
Hindy G, Mollet IG, Rukh G, Ericson U, Orho-Melander M. Several type 2 diabetes-associated variants in genes annotated to WNT signaling interact with dietary fiber in relation to incidence of type 2 diabetes. Genes Nutr. 2016 Mar 21;11:6. doi: 10.1186/s12263-016-0524-4. eCollection 2016. PMID: 27551309; PMCID: PMC4968454.
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The insertion/deletion variation in the alpha2B-adrenoceptor does not seem to modify the risk for acute myocardial infarction, but may modify the risk for hypertension in sib-pairs from families with type 2 diabetes.

Cardiovascular diabetology

Snapir A, Scheinin M, Groop LC, Orho-Melander M.
PMID: 14633283
Cardiovasc Diabetol. 2003 Nov 24;2:15. doi: 10.1186/1475-2840-2-15.

BACKGROUND: An insertion/deletion polymorphism in the alpha2B-adrenoceptor (AR) has been associated with the risk for acute myocardial infarction (AMI) and sudden cardiac death. In this study we tested whether this polymorphism is associated with the risk for AMI among...

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Snapir A, Scheinin M, Groop LC, et al. The insertion/deletion variation in the alpha2B-adrenoceptor does not seem to modify the risk for acute myocardial infarction, but may modify the risk for hypertension in sib-pairs from families with type 2 diabetes. Cardiovasc Diabetol. 2003;2:15doi: 10.1186/1475-2840-2-15.
Snapir, A., Scheinin, M., Groop, L. C., & Orho-Melander, M. (2003). The insertion/deletion variation in the alpha2B-adrenoceptor does not seem to modify the risk for acute myocardial infarction, but may modify the risk for hypertension in sib-pairs from families with type 2 diabetes. Cardiovascular diabetology, 215. https://doi.org/10.1186/1475-2840-2-15
Snapir, Amir, et al. "The insertion/deletion variation in the alpha2B-adrenoceptor does not seem to modify the risk for acute myocardial infarction, but may modify the risk for hypertension in sib-pairs from families with type 2 diabetes." Cardiovascular diabetology vol. 2 (2003): 15. doi: https://doi.org/10.1186/1475-2840-2-15
Snapir A, Scheinin M, Groop LC, Orho-Melander M. The insertion/deletion variation in the alpha2B-adrenoceptor does not seem to modify the risk for acute myocardial infarction, but may modify the risk for hypertension in sib-pairs from families with type 2 diabetes. Cardiovasc Diabetol. 2003 Nov 24;2:15. doi: 10.1186/1475-2840-2-15. PMID: 14633283; PMCID: PMC305364.
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Genetic variation in the fat mass and obesity-associated gene (FTO) in association with food preferences in healthy adults.

Food & nutrition research

Brunkwall L, Ericson U, Hellstrand S, Gullberg B, Orho-Melander M, Sonestedt E.
PMID: 23589710
Food Nutr Res. 2013 Apr 12;57. doi: 10.3402/fnr.v57i0.20028. Print 2013.

BACKGROUND: Earlier studies have indicated that the fat mass and obesity-associated gene (FTO) is not only associated with BMI and weight but also with appetite and dietary intake.OBJECTIVES: We investigated if the FTO rs9939609 associates with food preferences in...

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Brunkwall L, Ericson U, Hellstrand S, et al. Genetic variation in the fat mass and obesity-associated gene (FTO) in association with food preferences in healthy adults. Food Nutr Res. 2013;57doi: 10.3402/fnr.v57i0.20028.
Brunkwall, L., Ericson, U., Hellstrand, S., Gullberg, B., Orho-Melander, M., & Sonestedt, E. (2013). Genetic variation in the fat mass and obesity-associated gene (FTO) in association with food preferences in healthy adults. Food & nutrition research, 57. https://doi.org/10.3402/fnr.v57i0.20028
Brunkwall, Louise, et al. "Genetic variation in the fat mass and obesity-associated gene (FTO) in association with food preferences in healthy adults." Food & nutrition research vol. 57 (2013). doi: https://doi.org/10.3402/fnr.v57i0.20028
Brunkwall L, Ericson U, Hellstrand S, Gullberg B, Orho-Melander M, Sonestedt E. Genetic variation in the fat mass and obesity-associated gene (FTO) in association with food preferences in healthy adults. Food Nutr Res. 2013 Apr 12;57. doi: 10.3402/fnr.v57i0.20028. Print 2013. PMID: 23589710; PMCID: PMC3625705.
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Biomarkers of blood cadmium and incidence of cardiovascular events in non-smokers: results from a population-based proteomics study.

Clinical proteomics

Borné Y, Fagerberg B, Sallsten G, Hedblad B, Persson M, Melander O, Nilsson J, Orho-Melander M, Barregard L, Engström G.
PMID: 31114450
Clin Proteomics. 2019 May 15;16:21. doi: 10.1186/s12014-019-9231-7. eCollection 2019.

BACKGROUND: Cadmium is a toxic metal with multiple adverse health effects, including risk of cardiovascular disease (CVD). The mechanistic link between cadmium and CVD is unclear. Our aim was to examine the associations between blood cadmium (B-Cd) and 88...

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Borné Y, Fagerberg B, Sallsten G, et al. Biomarkers of blood cadmium and incidence of cardiovascular events in non-smokers: results from a population-based proteomics study. Clin Proteomics. 2019;16:21doi: 10.1186/s12014-019-9231-7.
Borné, Y., Fagerberg, B., Sallsten, G., Hedblad, B., Persson, M., Melander, O., Nilsson, J., Orho-Melander, M., Barregard, L., & Engström, G. (2019). Biomarkers of blood cadmium and incidence of cardiovascular events in non-smokers: results from a population-based proteomics study. Clinical proteomics, 1621. https://doi.org/10.1186/s12014-019-9231-7
Borné, Yan, et al. "Biomarkers of blood cadmium and incidence of cardiovascular events in non-smokers: results from a population-based proteomics study." Clinical proteomics vol. 16 (2019): 21. doi: https://doi.org/10.1186/s12014-019-9231-7
Borné Y, Fagerberg B, Sallsten G, Hedblad B, Persson M, Melander O, Nilsson J, Orho-Melander M, Barregard L, Engström G. Biomarkers of blood cadmium and incidence of cardiovascular events in non-smokers: results from a population-based proteomics study. Clin Proteomics. 2019 May 15;16:21. doi: 10.1186/s12014-019-9231-7. eCollection 2019. PMID: 31114450; PMCID: PMC6518646.
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Rare coding variants in 35 genes associate with circulating lipid levels-A multi-ancestry analysis of 170,000 exomes.

American journal of human genetics

Hindy G, Dornbos P, Chaffin MD, Liu DJ, Wang M, Selvaraj MS, Zhang D, Park J, Aguilar-Salinas CA, Antonacci-Fulton L, Ardissino D, Arnett DK, Aslibekyan S, Atzmon G, Ballantyne CM, Barajas-Olmos F, Barzilai N, Becker LC, Bielak LF, Bis JC, Blangero J, Boerwinkle E, Bonnycastle LL, Bottinger E, Bowden DW, Bown MJ, Brody JA, Broome JG, Burtt NP, Cade BE, Centeno-Cruz F, Chan E, Chang YC, Chen YI, Cheng CY, Choi WJ, Chowdhury R, Contreras-Cubas C, Córdova EJ, Correa A, Cupples LA, Curran JE, Danesh J, de Vries PS, DeFronzo RA, Doddapaneni H, Duggirala R, Dutcher SK, Ellinor PT, Emery LS, Florez JC, Fornage M, Freedman BI, Fuster V, Garay-Sevilla ME, García-Ortiz H, Germer S, Gibbs RA, Gieger C, Glaser B, Gonzalez C, Gonzalez-Villalpando ME, Graff M, Graham SE, Grarup N, Groop LC, Guo X, Gupta N, Han S, Hanis CL, Hansen T, He J, Heard-Costa NL, Hung YJ, Hwang MY, Irvin MR, Islas-Andrade S, Jarvik GP, Kang HM, Kardia SLR, Kelly T, Kenny EE, Khan AT, Kim BJ, Kim RW, Kim YJ, Koistinen HA, Kooperberg C, Kuusisto J, Kwak SH, Laakso M, Lange LA, Lee J, Lee J, Lee S, Lehman DM, Lemaitre RN, Linneberg A, Liu J, Loos RJF, Lubitz SA, Lyssenko V, Ma RCW, Martin LW, Martínez-Hernández A, Mathias RA, McGarvey ST, McPherson R, Meigs JB, Meitinger T, Melander O, Mendoza-Caamal E, Metcalf GA, Mi X, Mohlke KL, Montasser ME, Moon JY, Moreno-Macías H, Morrison AC, Muzny DM, Nelson SC, Nilsson PM, O'Connell JR, Orho-Melander M, Orozco L, Palmer CNA, Palmer ND, Park CJ, Park KS, Pedersen O, Peralta JM, Peyser PA, Post WS, Preuss M, Psaty BM, Qi Q, Rao DC, Redline S, Reiner AP, Revilla-Monsalve C, Rich SS, Samani N, Schunkert H, Schurmann C, Seo D, Seo JS, Sim X, Sladek R, Small KS, So WY, Stilp AM, Tai ES, Tam CHT, Taylor KD, Teo YY, Thameem F, Tomlinson B, Tsai MY, Tuomi T, Tuomilehto J, Tusié-Luna T, Udler MS, van Dam RM, Vasan RS, Viaud Martinez KA, Wang FF, Wang X, Watkins H, Weeks DE, Wilson JG, Witte DR, Wong TY, Yanek LR, Kathiresan S, Rader DJ, Rotter JI, Boehnke M, McCarthy MI, Willer CJ, Natarajan P, Flannick JA, Khera AV, Peloso GM.
PMID: 34932938
Am J Hum Genet. 2022 Jan 06;109(1):81-96. doi: 10.1016/j.ajhg.2021.11.021. Epub 2021 Dec 20.

Large-scale gene sequencing studies for complex traits have the potential to identify causal genes with therapeutic implications. We performed gene-based association testing of blood lipid levels with rare (minor allele frequency < 1%) predicted damaging coding variation by using...

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Hindy G, Dornbos P, Chaffin MD, et al. Rare coding variants in 35 genes associate with circulating lipid levels-A multi-ancestry analysis of 170,000 exomes. Am J Hum Genet. 2021;109(1):81-96doi: 10.1016/j.ajhg.2021.11.021.
Hindy, G., Dornbos, P., Chaffin, M. D., Liu, D. J., Wang, M., Selvaraj, M. S., Zhang, D., Park, J., Aguilar-Salinas, C. A., Antonacci-Fulton, L., Ardissino, D., Arnett, D. K., Aslibekyan, S., Atzmon, G., Ballantyne, C. M., Barajas-Olmos, F., Barzilai, N., Becker, L. C., Bielak, L. F., Bis, J. C., Blangero, J., Boerwinkle, E., Bonnycastle, L. L., Bottinger, E., Bowden, D. W., Bown, M. J., Brody, J. A., Broome, J. G., Burtt, N. P., Cade, B. E., Centeno-Cruz, F., Chan, E., Chang, Y. C., Chen, Y. I., Cheng, C. Y., Choi, W. J., Chowdhury, R., Contreras-Cubas, C., Córdova, E. J., Correa, A., Cupples, L. A., Curran, J. E., Danesh, J., de Vries, P. S., DeFronzo, R. A., Doddapaneni, H., Duggirala, R., Dutcher, S. K., Ellinor, P. T., Emery, L. S., Florez, J. C., Fornage, M., Freedman, B. I., Fuster, V., Garay-Sevilla, M. E., García-Ortiz, H., Germer, S., Gibbs, R. A., Gieger, C., Glaser, B., Gonzalez, C., Gonzalez-Villalpando, M. E., Graff, M., Graham, S. E., Grarup, N., Groop, L. C., Guo, X., Gupta, N., Han, S., Hanis, C. L., Hansen, T., He, J., Heard-Costa, N. L., Hung, Y. J., Hwang, M. Y., Irvin, M. R., Islas-Andrade, S., Jarvik, G. P., Kang, H. M., Kardia, S. L. R., Kelly, T., Kenny, E. E., Khan, A. T., Kim, B. J., Kim, R. W., Kim, Y. J., Koistinen, H. A., Kooperberg, C., Kuusisto, J., Kwak, S. H., Laakso, M., Lange, L. A., Lee, J., Lee, J., Lee, S., Lehman, D. M., Lemaitre, R. N., Linneberg, A., Liu, J., Loos, R. J. F., Lubitz, S. A., Lyssenko, V., Ma, R. C. W., Martin, L. W., Martínez-Hernández, A., Mathias, R. A., McGarvey, S. T., McPherson, R., Meigs, J. B., Meitinger, T., Melander, O., Mendoza-Caamal, E., Metcalf, G. A., Mi, X., Mohlke, K. L., Montasser, M. E., Moon, J. Y., Moreno-Macías, H., Morrison, A. C., Muzny, D. M., Nelson, S. C., Nilsson, P. M., O'Connell, J. R., Orho-Melander, M., Orozco, L., Palmer, C. N. A., Palmer, N. D., Park, C. J., Park, K. S., Pedersen, O., Peralta, J. M., Peyser, P. A., Post, W. S., Preuss, M., Psaty, B. M., Qi, Q., Rao, D. C., Redline, S., Reiner, A. P., Revilla-Monsalve, C., Rich, S. S., Samani, N., Schunkert, H., Schurmann, C., Seo, D., Seo, J. S., Sim, X., Sladek, R., Small, K. S., So, W. Y., Stilp, A. M., Tai, E. S., Tam, C. H. T., Taylor, K. D., Teo, Y. Y., Thameem, F., Tomlinson, B., Tsai, M. Y., Tuomi, T., Tuomilehto, J., Tusié-Luna, T., Udler, M. S., van Dam, R. M., Vasan, R. S., Viaud Martinez, K. A., Wang, F. F., Wang, X., Watkins, H., Weeks, D. E., Wilson, J. G., Witte, D. R., Wong, T. Y., Yanek, L. R., Kathiresan, S., Rader, D. J., Rotter, J. I., Boehnke, M., McCarthy, M. I., Willer, C. J., Natarajan, P., Flannick, J. A., Khera, A. V., & Peloso, G. M. (2022). Rare coding variants in 35 genes associate with circulating lipid levels-A multi-ancestry analysis of 170,000 exomes. American journal of human genetics, 109(1), 81-96. https://doi.org/10.1016/j.ajhg.2021.11.021
Hindy, George, et al. "Rare coding variants in 35 genes associate with circulating lipid levels-A multi-ancestry analysis of 170,000 exomes." American journal of human genetics vol. 109,1 (2022): 81-96. doi: https://doi.org/10.1016/j.ajhg.2021.11.021
Hindy G, Dornbos P, Chaffin MD, Liu DJ, Wang M, Selvaraj MS, Zhang D, Park J, Aguilar-Salinas CA, Antonacci-Fulton L, Ardissino D, Arnett DK, Aslibekyan S, Atzmon G, Ballantyne CM, Barajas-Olmos F, Barzilai N, Becker LC, Bielak LF, Bis JC, Blangero J, Boerwinkle E, Bonnycastle LL, Bottinger E, Bowden DW, Bown MJ, Brody JA, Broome JG, Burtt NP, Cade BE, Centeno-Cruz F, Chan E, Chang YC, Chen YI, Cheng CY, Choi WJ, Chowdhury R, Contreras-Cubas C, Córdova EJ, Correa A, Cupples LA, Curran JE, Danesh J, de Vries PS, DeFronzo RA, Doddapaneni H, Duggirala R, Dutcher SK, Ellinor PT, Emery LS, Florez JC, Fornage M, Freedman BI, Fuster V, Garay-Sevilla ME, García-Ortiz H, Germer S, Gibbs RA, Gieger C, Glaser B, Gonzalez C, Gonzalez-Villalpando ME, Graff M, Graham SE, Grarup N, Groop LC, Guo X, Gupta N, Han S, Hanis CL, Hansen T, He J, Heard-Costa NL, Hung YJ, Hwang MY, Irvin MR, Islas-Andrade S, Jarvik GP, Kang HM, Kardia SLR, Kelly T, Kenny EE, Khan AT, Kim BJ, Kim RW, Kim YJ, Koistinen HA, Kooperberg C, Kuusisto J, Kwak SH, Laakso M, Lange LA, Lee J, Lee J, Lee S, Lehman DM, Lemaitre RN, Linneberg A, Liu J, Loos RJF, Lubitz SA, Lyssenko V, Ma RCW, Martin LW, Martínez-Hernández A, Mathias RA, McGarvey ST, McPherson R, Meigs JB, Meitinger T, Melander O, Mendoza-Caamal E, Metcalf GA, Mi X, Mohlke KL, Montasser ME, Moon JY, Moreno-Macías H, Morrison AC, Muzny DM, Nelson SC, Nilsson PM, O'Connell JR, Orho-Melander M, Orozco L, Palmer CNA, Palmer ND, Park CJ, Park KS, Pedersen O, Peralta JM, Peyser PA, Post WS, Preuss M, Psaty BM, Qi Q, Rao DC, Redline S, Reiner AP, Revilla-Monsalve C, Rich SS, Samani N, Schunkert H, Schurmann C, Seo D, Seo JS, Sim X, Sladek R, Small KS, So WY, Stilp AM, Tai ES, Tam CHT, Taylor KD, Teo YY, Thameem F, Tomlinson B, Tsai MY, Tuomi T, Tuomilehto J, Tusié-Luna T, Udler MS, van Dam RM, Vasan RS, Viaud Martinez KA, Wang FF, Wang X, Watkins H, Weeks DE, Wilson JG, Witte DR, Wong TY, Yanek LR, Kathiresan S, Rader DJ, Rotter JI, Boehnke M, McCarthy MI, Willer CJ, Natarajan P, Flannick JA, Khera AV, Peloso GM. Rare coding variants in 35 genes associate with circulating lipid levels-A multi-ancestry analysis of 170,000 exomes. Am J Hum Genet. 2022 Jan 06;109(1):81-96. doi: 10.1016/j.ajhg.2021.11.021. Epub 2021 Dec 20. PMID: 34932938.
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Association of Circulating Monocyte Chemoattractant Protein-1 Levels With Cardiovascular Mortality: A Meta-analysis of Population-Based Studies.

JAMA cardiology

Georgakis MK, de Lemos JA, Ayers C, Wang B, Björkbacka H, Pana TA, Thorand B, Sun C, Fani L, Malik R, Dupuis J, Engström G, Orho-Melander M, Melander O, Boekholdt SM, Zierer A, Elhadad MA, Koenig W, Herder C, Hoogeveen RC, Kavousi M, Ballantyne CM, Peters A, Myint PK, Nilsson J, Benjamin EJ, Dichgans M.
PMID: 33146689
JAMA Cardiol. 2021 May 01;6(5):587-592. doi: 10.1001/jamacardio.2020.5392.

IMPORTANCE: Human genetics and studies in experimental models support a key role of monocyte-chemoattractant protein-1 (MCP-1) in atherosclerosis. Yet, the associations of circulating MCP-1 levels with risk of coronary heart disease and cardiovascular death in the general population remain...

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Georgakis MK, de Lemos JA, Ayers C, et al. Association of Circulating Monocyte Chemoattractant Protein-1 Levels With Cardiovascular Mortality: A Meta-analysis of Population-Based Studies. JAMA Cardiol. 2021;6(5):587-592doi: 10.1001/jamacardio.2020.5392.
Georgakis, M. K., de Lemos, J. A., Ayers, C., Wang, B., Björkbacka, H., Pana, T. A., Thorand, B., Sun, C., Fani, L., Malik, R., Dupuis, J., Engström, G., Orho-Melander, M., Melander, O., Boekholdt, S. M., Zierer, A., Elhadad, M. A., Koenig, W., Herder, C., Hoogeveen, R. C., Kavousi, M., Ballantyne, C. M., Peters, A., Myint, P. K., Nilsson, J., Benjamin, E. J., & Dichgans, M. (2021). Association of Circulating Monocyte Chemoattractant Protein-1 Levels With Cardiovascular Mortality: A Meta-analysis of Population-Based Studies. JAMA cardiology, 6(5), 587-592. https://doi.org/10.1001/jamacardio.2020.5392
Georgakis, Marios K, et al. "Association of Circulating Monocyte Chemoattractant Protein-1 Levels With Cardiovascular Mortality: A Meta-analysis of Population-Based Studies." JAMA cardiology vol. 6,5 (2021): 587-592. doi: https://doi.org/10.1001/jamacardio.2020.5392
Georgakis MK, de Lemos JA, Ayers C, Wang B, Björkbacka H, Pana TA, Thorand B, Sun C, Fani L, Malik R, Dupuis J, Engström G, Orho-Melander M, Melander O, Boekholdt SM, Zierer A, Elhadad MA, Koenig W, Herder C, Hoogeveen RC, Kavousi M, Ballantyne CM, Peters A, Myint PK, Nilsson J, Benjamin EJ, Dichgans M. Association of Circulating Monocyte Chemoattractant Protein-1 Levels With Cardiovascular Mortality: A Meta-analysis of Population-Based Studies. JAMA Cardiol. 2021 May 01;6(5):587-592. doi: 10.1001/jamacardio.2020.5392. PMID: 33146689; PMCID: PMC8111478.
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Abdominal Fat and Metabolic Health Markers but Not PNPLA3 Genotype Predicts Liver Fat Accumulation in Response to Excess Intake of Energy and Saturated Fat in Healthy Individuals.

Frontiers in nutrition

Rosqvist F, Orho-Melander M, Kullberg J, Iggman D, Johansson HE, Cedernaes J, Ahlström H, Risérus U.
PMID: 33344496
Front Nutr. 2020 Dec 03;7:606004. doi: 10.3389/fnut.2020.606004. eCollection 2020.

No abstract available.

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Rosqvist F, Orho-Melander M, Kullberg J, et al. Abdominal Fat and Metabolic Health Markers but Not PNPLA3 Genotype Predicts Liver Fat Accumulation in Response to Excess Intake of Energy and Saturated Fat in Healthy Individuals. Front Nutr. 2020;7:606004doi: 10.3389/fnut.2020.606004.
Rosqvist, F., Orho-Melander, M., Kullberg, J., Iggman, D., Johansson, H. E., Cedernaes, J., Ahlström, H., & Risérus, U. (2020). Abdominal Fat and Metabolic Health Markers but Not PNPLA3 Genotype Predicts Liver Fat Accumulation in Response to Excess Intake of Energy and Saturated Fat in Healthy Individuals. Frontiers in nutrition, 7606004. https://doi.org/10.3389/fnut.2020.606004
Rosqvist, Fredrik, et al. "Abdominal Fat and Metabolic Health Markers but Not PNPLA3 Genotype Predicts Liver Fat Accumulation in Response to Excess Intake of Energy and Saturated Fat in Healthy Individuals." Frontiers in nutrition vol. 7 (2020): 606004. doi: https://doi.org/10.3389/fnut.2020.606004
Rosqvist F, Orho-Melander M, Kullberg J, Iggman D, Johansson HE, Cedernaes J, Ahlström H, Risérus U. Abdominal Fat and Metabolic Health Markers but Not PNPLA3 Genotype Predicts Liver Fat Accumulation in Response to Excess Intake of Energy and Saturated Fat in Healthy Individuals. Front Nutr. 2020 Dec 03;7:606004. doi: 10.3389/fnut.2020.606004. eCollection 2020. PMID: 33344496; PMCID: PMC7744344.
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Hyperglycaemia-associated Caspase-3 predicts diabetes and coronary artery disease events.

Journal of internal medicine

Sun J, Singh P, Österlund J, Orho-Melander M, Melander O, Engström G, Edsfeldt A.
PMID: 34309093
J Intern Med. 2021 Oct;290(4):855-865. doi: 10.1111/joim.13327. Epub 2021 Jul 26.

BACKGROUND: Apoptosis is central in both diabetes and atherosclerosis, linked to pancreatic beta cell death and plaque progression. Circulating Caspase-3 has also been associated with diabetes and coronary calcium score. Here, we explored if soluble Caspase-3 (sCaspase-3) is associated...

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Sun J, Singh P, Österlund J, et al. Hyperglycaemia-associated Caspase-3 predicts diabetes and coronary artery disease events. J Intern Med. 2021;290(4):855-865doi: 10.1111/joim.13327.
Sun, J., Singh, P., Österlund, J., Orho-Melander, M., Melander, O., Engström, G., & Edsfeldt, A. (2021). Hyperglycaemia-associated Caspase-3 predicts diabetes and coronary artery disease events. Journal of internal medicine, 290(4), 855-865. https://doi.org/10.1111/joim.13327
Sun, Jiangming, et al. "Hyperglycaemia-associated Caspase-3 predicts diabetes and coronary artery disease events." Journal of internal medicine vol. 290,4 (2021): 855-865. doi: https://doi.org/10.1111/joim.13327
Sun J, Singh P, Österlund J, Orho-Melander M, Melander O, Engström G, Edsfeldt A. Hyperglycaemia-associated Caspase-3 predicts diabetes and coronary artery disease events. J Intern Med. 2021 Oct;290(4):855-865. doi: 10.1111/joim.13327. Epub 2021 Jul 26. PMID: 34309093.
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Obesity Partially Mediates the Diabetogenic Effect of Lowering LDL Cholesterol.

Diabetes care

Wu P, Moon JY, Daghlas I, Franco G, Porneala BC, Ahmadizar F, Richardson TG, Isaksen JL, Hindy G, Yao J, Sitlani CM, Raffield LM, Yanek LR, Feitosa MF, Cuadrat RRC, Qi Q, Arfan Ikram M, Ellervik C, Ericson U, Goodarzi MO, Brody JA, Lange L, Mercader JM, Vaidya D, An P, Schulze MB, Masana L, Ghanbari M, Olesen MS, Cai J, Guo X, Floyd JS, Jäger S, Province MA, Kalyani RR, Psaty BM, Orho-Melander M, Ridker PM, Kanters JK, Uitterlinden A, Davey Smith G, Gill D, Kaplan RC, Kavousi M, Raghavan S, Chasman DI, Rotter JI, Meigs JB, Florez JC, Dupuis J, Liu CT, Merino J.
PMID: 34789503
Diabetes Care. 2022 Jan 01;45(1):232-240. doi: 10.2337/dc21-1284.

OBJECTIVE: LDL cholesterol (LDLc)-lowering drugs modestly increase body weight and type 2 diabetes risk, but the extent to which the diabetogenic effect of lowering LDLc is mediated through increased BMI is unknown.RESEARCH DESIGN AND METHODS: We conducted summary-level univariable...

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Wu P, Moon JY, Daghlas I, et al. Obesity Partially Mediates the Diabetogenic Effect of Lowering LDL Cholesterol. Diabetes Care. 2022;45(1):232-240doi: 10.2337/dc21-1284.
Wu, P., Moon, J. Y., Daghlas, I., Franco, G., Porneala, B. C., Ahmadizar, F., Richardson, T. G., Isaksen, J. L., Hindy, G., Yao, J., Sitlani, C. M., Raffield, L. M., Yanek, L. R., Feitosa, M. F., Cuadrat, R. R. C., Qi, Q., Arfan Ikram, M., Ellervik, C., Ericson, U., Goodarzi, M. O., Brody, J. A., Lange, L., Mercader, J. M., Vaidya, D., An, P., Schulze, M. B., Masana, L., Ghanbari, M., Olesen, M. S., Cai, J., Guo, X., Floyd, J. S., Jäger, S., Province, M. A., Kalyani, R. R., Psaty, B. M., Orho-Melander, M., Ridker, P. M., Kanters, J. K., Uitterlinden, A., Davey Smith, G., Gill, D., Kaplan, R. C., Kavousi, M., Raghavan, S., Chasman, D. I., Rotter, J. I., Meigs, J. B., Florez, J. C., Dupuis, J., Liu, C. T., & Merino, J. (2022). Obesity Partially Mediates the Diabetogenic Effect of Lowering LDL Cholesterol. Diabetes care, 45(1), 232-240. https://doi.org/10.2337/dc21-1284
Wu, Peitao, et al. "Obesity Partially Mediates the Diabetogenic Effect of Lowering LDL Cholesterol." Diabetes care vol. 45,1 (2022): 232-240. doi: https://doi.org/10.2337/dc21-1284
Wu P, Moon JY, Daghlas I, Franco G, Porneala BC, Ahmadizar F, Richardson TG, Isaksen JL, Hindy G, Yao J, Sitlani CM, Raffield LM, Yanek LR, Feitosa MF, Cuadrat RRC, Qi Q, Arfan Ikram M, Ellervik C, Ericson U, Goodarzi MO, Brody JA, Lange L, Mercader JM, Vaidya D, An P, Schulze MB, Masana L, Ghanbari M, Olesen MS, Cai J, Guo X, Floyd JS, Jäger S, Province MA, Kalyani RR, Psaty BM, Orho-Melander M, Ridker PM, Kanters JK, Uitterlinden A, Davey Smith G, Gill D, Kaplan RC, Kavousi M, Raghavan S, Chasman DI, Rotter JI, Meigs JB, Florez JC, Dupuis J, Liu CT, Merino J. Obesity Partially Mediates the Diabetogenic Effect of Lowering LDL Cholesterol. Diabetes Care. 2022 Jan 01;45(1):232-240. doi: 10.2337/dc21-1284. PMID: 34789503.
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Growth differentiation factor-15 and incident chronic kidney disease: a population-based cohort study.

BMC nephrology

Bao X, Xu B, Borné Y, Orho-Melander M, Melander O, Nilsson J, Christensson A, Engström G.
PMID: 34706669
BMC Nephrol. 2021 Oct 27;22(1):351. doi: 10.1186/s12882-021-02558-w.

BACKGROUND: The relationship between growth differentiation factor 15 (GDF-15) and the development of chronic kidney disease (CKD) is still unclear. We sought to examine whether plasma GDF-15 was related to incident CKD and kidney function decline using a large...

Cite
Bao X, Xu B, Borné Y, et al. Growth differentiation factor-15 and incident chronic kidney disease: a population-based cohort study. BMC Nephrol. 2021;22(1):351doi: 10.1186/s12882-021-02558-w.
Bao, X., Xu, B., Borné, Y., Orho-Melander, M., Melander, O., Nilsson, J., Christensson, A., & Engström, G. (2021). Growth differentiation factor-15 and incident chronic kidney disease: a population-based cohort study. BMC nephrology, 22(1), 351. https://doi.org/10.1186/s12882-021-02558-w
Bao, Xue, et al. "Growth differentiation factor-15 and incident chronic kidney disease: a population-based cohort study." BMC nephrology vol. 22,1 (2021): 351. doi: https://doi.org/10.1186/s12882-021-02558-w
Bao X, Xu B, Borné Y, Orho-Melander M, Melander O, Nilsson J, Christensson A, Engström G. Growth differentiation factor-15 and incident chronic kidney disease: a population-based cohort study. BMC Nephrol. 2021 Oct 27;22(1):351. doi: 10.1186/s12882-021-02558-w. PMID: 34706669; PMCID: PMC8554962.
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Genome-wide association study of coronary artery disease among individuals with diabetes: the UK Biobank.

Diabetologia

Fall T, Gustafsson S, Orho-Melander M, Ingelsson E.
PMID: 30003307
Diabetologia. 2018 Oct;61(10):2174-2179. doi: 10.1007/s00125-018-4686-z. Epub 2018 Jul 12.

AIMS/HYPOTHESIS: Coronary artery disease (CAD) is a common complication among individuals with diabetes. A better understanding of the genetic background of CAD in this population has the potential to suggest novel molecular targets for screening, risk assessment and drug...

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Fall T, Gustafsson S, Orho-Melander M, et al. Genome-wide association study of coronary artery disease among individuals with diabetes: the UK Biobank. Diabetologia. 2018;61(10):2174-2179doi: 10.1007/s00125-018-4686-z.
Fall, T., Gustafsson, S., Orho-Melander, M., & Ingelsson, E. (2018). Genome-wide association study of coronary artery disease among individuals with diabetes: the UK Biobank. Diabetologia, 61(10), 2174-2179. https://doi.org/10.1007/s00125-018-4686-z
Fall, Tove, et al. "Genome-wide association study of coronary artery disease among individuals with diabetes: the UK Biobank." Diabetologia vol. 61,10 (2018): 2174-2179. doi: https://doi.org/10.1007/s00125-018-4686-z
Fall T, Gustafsson S, Orho-Melander M, Ingelsson E. Genome-wide association study of coronary artery disease among individuals with diabetes: the UK Biobank. Diabetologia. 2018 Oct;61(10):2174-2179. doi: 10.1007/s00125-018-4686-z. Epub 2018 Jul 12. PMID: 30003307; PMCID: PMC6133153.
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Comparing Self-Reported Sugar Intake With the Sucrose and Fructose Biomarker From Overnight Urine Samples in Relation to Cardiometabolic Risk Factors.

Frontiers in nutrition

Ramne S, Gray N, Hellstrand S, Brunkwall L, Enhörning S, Nilsson PM, Engström G, Orho-Melander M, Ericson U, Kuhnle GGC, Sonestedt E.
PMID: 32435652
Front Nutr. 2020 May 06;7:62. doi: 10.3389/fnut.2020.00062. eCollection 2020.

Studies on sugar intake and its link to cardiometabolic risk show inconsistent results, partly due to dietary misreporting. Cost-effective and easily measured nutritional biomarkers that can complement dietary data are warranted. Measurement of 24-h urinary sugars is a biomarker...

Cite
Ramne S, Gray N, Hellstrand S, et al. Comparing Self-Reported Sugar Intake With the Sucrose and Fructose Biomarker From Overnight Urine Samples in Relation to Cardiometabolic Risk Factors. Front Nutr. 2020;7:62doi: 10.3389/fnut.2020.00062.
Ramne, S., Gray, N., Hellstrand, S., Brunkwall, L., Enhörning, S., Nilsson, P. M., Engström, G., Orho-Melander, M., Ericson, U., Kuhnle, G. G. C., & Sonestedt, E. (2020). Comparing Self-Reported Sugar Intake With the Sucrose and Fructose Biomarker From Overnight Urine Samples in Relation to Cardiometabolic Risk Factors. Frontiers in nutrition, 762. https://doi.org/10.3389/fnut.2020.00062
Ramne, Stina, et al. "Comparing Self-Reported Sugar Intake With the Sucrose and Fructose Biomarker From Overnight Urine Samples in Relation to Cardiometabolic Risk Factors." Frontiers in nutrition vol. 7 (2020): 62. doi: https://doi.org/10.3389/fnut.2020.00062
Ramne S, Gray N, Hellstrand S, Brunkwall L, Enhörning S, Nilsson PM, Engström G, Orho-Melander M, Ericson U, Kuhnle GGC, Sonestedt E. Comparing Self-Reported Sugar Intake With the Sucrose and Fructose Biomarker From Overnight Urine Samples in Relation to Cardiometabolic Risk Factors. Front Nutr. 2020 May 06;7:62. doi: 10.3389/fnut.2020.00062. eCollection 2020. PMID: 32435652; PMCID: PMC7218081.
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