Rask-Madsen C, Kahn CR. Tissue-specific insulin signaling, metabolic syndrome, and cardiovascular disease. Arterioscler Thromb Vasc Biol. 2012;32(9):2052–9.
Article
CAS
PubMed
PubMed Central
Google Scholar
Tune JD, Goodwill AG, Sassoon DJ, Mather KJ. Cardiovascular consequences of metabolic syndrome. Transl Res J Lab Clin Med. 2017;183:57–70.
CAS
Google Scholar
Afshin A, Forouzanfar MH, Reitsma MB, Sur P, Estep K, Lee A, et al. Health effects of overweight and obesity in 195 countries over 25 years. N Engl J Med. 2017;377(1):13–27.
Article
PubMed
Google Scholar
O’Neill S, O’Driscoll L. Metabolic syndrome: a closer look at the growing epidemic and its associated pathologies. Obes Rev Off J Int Assoc Study Obes. 2015;16(1):1–12.
Article
CAS
Google Scholar
International Diabetes Federation: The IDF consensus worldwide definition of the metabolic syndrome. http://www.idf.org/metabolic-syndrome.
Hanefeld M, Schaper F, Ceriello A. Geschichte und Definition(en) des metabolischen Syndroms. Der Internist. 2007;48(2):117–25.
Article
CAS
PubMed
Google Scholar
Grundy SM. Metabolic syndrome: a multiplex cardiovascular risk factor. J Clin Endocrinol Metab. 2007;92(2):399–404.
Article
CAS
PubMed
Google Scholar
Kahn R. Metabolic syndrome is it a syndrome? Does it matter? Circulation. 2007;115(13):1806–11.
Article
PubMed
Google Scholar
Richard CC. The metabolic syndrome: is it really a syndrome? Clin Cardiol. 2006;29(12):523–4.
Article
Google Scholar
Abifadel M, Varret M, Rabès JP, Allard D, Ouguerram K, Devillers M, et al. Mutations in PCSK9 cause autosomal dominant hypercholesterolemia. Nat Genet. 2003;34(2):154–6.
Article
CAS
PubMed
Google Scholar
Lind L. Genome-wide association study of the metabolic syndrome in UK biobank. Metab Syndr Relat Disord. 2019;17(10):505–11.
Article
CAS
PubMed
Google Scholar
Lind L, Elmståhl S, Ingelsson E. Cardiometabolic proteins associated with metabolic syndrome. Metab Syndr Relat Disord. 2019;17(5):272–9.
Article
CAS
PubMed
PubMed Central
Google Scholar
Priest C, Tontonoz P. Inter-organ cross-talk in metabolic syndrome. Nat Metab. 2019;1(12):1177–88.
Article
PubMed
Google Scholar
Robberecht H, Hermans N. Biomarkers of metabolic syndrome: biochemical background and clinical significance. Metab Syndr Relat Disord. 2016;14(2):47–93.
Article
PubMed
Google Scholar
Hemani G, Zheng J, Elsworth B, Wade KH, Haberland V, Baird D, Laurin C, Burgess S, Bowden J, Langdon R, et al. The MR-Base platform supports systematic causal inference across the human phenome. Elife. 2018. https://doi.org/10.7554/eLife.34408.
Article
PubMed
PubMed Central
Google Scholar
Holle, R.; Happich, M.; Lowel, H.; Wichmann, H.E. KORA--a research platform for population based health research. Gesundheitswesen (Bundesverband der Arzte des Offentlichen Gesundheitsdienstes (Germany)) 2005, 67 Suppl 1, S19-25. https://doi.org/10.1055/s-2005-858235
Krokstad S, Langhammer A, Hveem K, Holmen TL, Midthjell K, Stene TR, et al. Cohort profile: the HUNT study, Norway. Int J Epidemiol. 2013;42(4):968–77.
Article
CAS
PubMed
Google Scholar
Gold L, Ayers D, Bertino J, Bock C, Bock A, Brody EN, et al. Aptamer-based multiplexed proteomic technology for biomarker discovery. PLoS ONE. 2010;5(12):e15004.
Article
CAS
PubMed
PubMed Central
Google Scholar
Suhre K, Arnold M, Bhagwat AM, Cotton RJ, Engelke R, Raffler J, et al. Connecting genetic risk to disease end points through the human blood plasma proteome. Nat Commun. 2017;8:14357.
Article
CAS
PubMed
PubMed Central
Google Scholar
Ganz P, Heidecker B, Hveem K, et al. Development and validation of a protein-based risk score for cardiovascular outcomes among patients with stable coronary heart disease. JAMA. 2016;315(23):2532–41.
Article
CAS
PubMed
Google Scholar
Alberti KG, Eckel RH, Grundy SM, Zimmet PZ, Cleeman JI, Donato KA, et al. Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity. Circulation. 2009;120(16):1640–5.
Article
CAS
PubMed
Google Scholar
Driver SL, Martin SS, Gluckman TJ, Clary JM, Blumenthal RS, Stone NJ. Fasting or nonfasting lipid measurements: it depends on the question. J Am Coll Cardiol. 2016;67(10):1227–34.
Article
CAS
PubMed
Google Scholar
American DA. Diagnosis and classification of diabetes mellitus. Diabetes Care. 2010;33(Suppl 1):S62–9.
Article
Google Scholar
Guo P, Zeng F, Hu X, Zhang D, Zhu S, Deng Y, et al. Improved variable selection algorithm using a LASSO-type penalty, with an application to assessing hepatitis B infection relevant factors in community residents. PLoS ONE. 2015;10(7):e0134151.
Article
PubMed
PubMed Central
CAS
Google Scholar
Robin X, Turck N, Hainard A, Tiberti N, Lisacek F, Sanchez J-C, et al. pROC: an open-source package for R and S+ to analyze and compare ROC curves. BMC Bioinformat. 2011;12(1):77.
Article
Google Scholar
Steyerberg EW, Vickers AJ, Cook NR, Gerds T, Gonen M, Obuchowski N, et al. Assessing the performance of prediction models: a framework for traditional and novel measures. Epidemiology. 2010;21(1):128–38.
Article
PubMed
PubMed Central
Google Scholar
DeLong ER, DeLong DM, Clarke-Pearson DL. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics. 1988;44(3):837–45.
Article
CAS
PubMed
Google Scholar
Szklarczyk D, Gable AL, Lyon D, Junge A, Wyder S, Huerta-Cepas J, et al. STRING v11: protein–protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets. Nucleic Acids Res. 2019;47(D1):D607–13.
Article
CAS
PubMed
Google Scholar
Sun BB, Maranville JC, Peters JE, Stacey D, Staley JR, Blackshaw J, et al. Genomic atlas of the human plasma proteome. Nature. 2018;558(7708):73–9.
Article
CAS
PubMed
PubMed Central
Google Scholar
Emilsson V, Ilkov M, Lamb JR, Finkel N, Gudmundsson EF, Pitts R, et al. Co-regulatory networks of human serum proteins link genetics to disease. Science. 2018;361(6404):769–73.
Article
CAS
PubMed
PubMed Central
Google Scholar
Hartwig FP, Davies NM, Hemani G, Davey SG. Two-sample Mendelian randomization: avoiding the downsides of a powerful, widely applicable but potentially fallible technique. Int J Epidemiol. 2017;45(6):1717–26.
Article
PubMed Central
Google Scholar
Teumer A. Common methods for performing Mendelian randomization. Front Cardiovasc Med. 2018;5:51.
Article
PubMed
PubMed Central
Google Scholar
Zheng J, Baird D, Borges MC, Bowden J, Hemani G, Haycock P, et al. Recent developments in Mendelian randomization studies. Curr Epidemiol Rep. 2017;4(4):330–45.
Article
PubMed
PubMed Central
Google Scholar
Bowden J, Davey Smith G, Burgess S. Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression. Int J Epidemiol. 2015;44(2):512–25.
Article
PubMed
PubMed Central
Google Scholar
Katsiki N, Mikhailidis DP, Banach M. Leptin, cardiovascular diseases and type 2 diabetes mellitus. Acta Pharmacol Sin. 2018;39(7):1176–88.
Article
CAS
PubMed
PubMed Central
Google Scholar
Zaghlool SB, Sharma S, Molnar M, Matías-García PR, Elhadad MA, Waldenberger M, et al. Revealing the role of the human blood plasma proteome in obesity using genetic drivers. Nat Commun. 2021;12(1):1279.
Article
CAS
PubMed
PubMed Central
Google Scholar
Wittenbecher C, Ouni M, Kuxhaus O, Jähnert M, Gottmann P, Teichmann A, et al. Insulin-like growth factor binding protein 2 (IGFBP-2) and the risk of developing type 2 diabetes. Diabetes. 2019;68(1):188–97.
Article
CAS
PubMed
Google Scholar
Pouriamehr S, Barmaki H, Rastegary M, Lotfi F, Nabi AM. Investigation of insulin-like growth factors/insulin-like growth factor binding proteins regulation in metabolic syndrome patients. BMC Res Notes. 2019;12(1):653.
Article
PubMed
PubMed Central
CAS
Google Scholar
Viviano J, Brecker M, Ferrara-Cook C, Suaud L, Rubenstein RC. ERp29 as a regulator of insulin biosynthesis. PLoS ONE. 2020;15(5):e0233502.
Article
CAS
PubMed
PubMed Central
Google Scholar
Erman H, Beydogan E, Cetin SI, Boyuk B. Endocan: a biomarker for hepatosteatosis in patients with metabolic syndrome. Mediators Inflamm. 2020;2020:3534042.
Article
PubMed
PubMed Central
CAS
Google Scholar
Cikrikcioglu MA, Erturk Z, Kilic E, Celik K, Ekinci I, Yasin Cetin AI, et al. Endocan and albuminuria in type 2 diabetes mellitus. Ren Fail. 2016;38(10):1647–53.
Article
CAS
PubMed
Google Scholar
Balta S, Mikhailidis DP, Demirkol S, Ozturk C, Celik T, Iyisoy A. Endocan: a novel inflammatory indicator in cardiovascular disease? Atherosclerosis. 2015;243(1):339–43.
Article
CAS
PubMed
Google Scholar
He CT, Lee CH, Hsieh CH, Hsiao FC, Kuo P, Chu NF, et al. Soluble form of receptor for advanced glycation end products is associated with obesity and metabolic syndrome in adolescents. Int J Endocrinol. 2014;2014:657607.
Article
PubMed
PubMed Central
Google Scholar
Miranda ER, Somal VS, Mey JT, Blackburn BK, Wang E, Farabi S, et al. Circulating soluble RAGE isoforms are attenuated in obese, impaired-glucose-tolerant individuals and are associated with the development of type 2 diabetes. Am J Physiol Endocrinol Metab. 2017;313(6):E631–40.
Article
PubMed
PubMed Central
CAS
Google Scholar
Tsoporis JN, Hatziagelaki E, Gupta S, Izhar S, Salpeas V, Tsiavou A, et al. Circulating ligands of the receptor for advanced glycation end products and the soluble form of the receptor modulate cardiovascular cell apoptosis in diabetes. Molecules. 2020;25(22):5235.
Article
CAS
PubMed Central
Google Scholar
Leuner B, Max M, Thamm K, Kausler C, Yakobus Y, Bierhaus A, et al. RAGE influences obesity in mice. Effects of the presence of RAGE on weight gain, AGE accumulation, and insulin levels in mice on a high fat diet. Z Gerontol Geriatr. 2012;45(2):102–8.
Article
CAS
PubMed
Google Scholar
Alessi MC, Juhan-Vague I. PAI-1 and the metabolic syndrome: links, causes, and consequences. Arterioscler Thromb Vasc Biol. 2006;26(10):2200–7.
Article
CAS
PubMed
Google Scholar
Choi H, Koh HWL, Zhou L, Cheng H, Loh TP, Parvaresh Rizi E, Toh SA, Ronnett GV, Huang BE, Khoo CM. Plasma protein and microRNA biomarkers of insulin resistance: a network-based integrative -omics analysis. Front Physiol. 2019. https://doi.org/10.3389/fphys.2019.00379.
Article
PubMed
PubMed Central
Google Scholar
Erman H, Gelisgen R, Cengiz M, Tabak O, Erdenen F, Uzun H. The association of vascular endothelial growth factor, metalloproteinases and their tissue inhibitors with cardiovascular risk factors in the metabolic syndrome. Eur Rev Med Pharmacol Sci. 2016;20(6):1015–22.
CAS
PubMed
Google Scholar
Fernandez-Patron C, Kassiri Z, Leung D. Modulation of systemic metabolism by MMP-2: from MMP-2 deficiency in mice to MMP-2 deficiency in patients. Compr Physiol. 2016;6(4):1935–49.
Article
PubMed
Google Scholar
Hardy E, Hardy-Sosa A, Fernandez-Patron C. MMP-2: is too low as bad as too high in the cardiovascular system? Am J Physiol Heart Circ Physiol. 2018;315(5):H1332–40.
Article
CAS
PubMed
Google Scholar
Elhadad MA, Jonasson C, Huth C, Wilson R, Gieger C, Matias P, et al. Deciphering the plasma proteome of type 2 diabetes. Diabetes. 2020;141:db200296.
Google Scholar
Gudmundsdottir V, Zaghlool SB, Emilsson V, Aspelund T, Ilkov M, Gudmundsson EF, et al. Circulating protein signatures and causal candidates for type 2 diabetes. Diabetes. 2020;69(8):1843–53.
Article
CAS
PubMed
PubMed Central
Google Scholar
Abondio P, Sazzini M, Garagnani P, Boattini A, Monti D, Franceschi C, et al. The genetic variability of APOE in different human populations and its implications for longevity. Genes (Basel). 2019;10(3):222.
Article
CAS
Google Scholar
Sun Y, Wei R, Yan D, Xu F, Zhang X, Zhang B, et al. Association between APOE polymorphism and metabolic syndrome in Uyghur ethnic men. BMJ Open. 2016;6(1):e010049.
Article
PubMed
PubMed Central
Google Scholar
Shinohara M, Kanekiyo T, Tachibana M, Kurti A, Shinohara M, Fu Y, et al. APOE2 is associated with longevity independent of Alzheimer’s disease. Elife. 2020;9:62199.
Article
Google Scholar
DeBoer MD, Filipp SL, Gurka MJ. Associations of a metabolic syndrome severity score with coronary heart disease and diabetes in fasting vs. non-fasting individuals. Nutr Metab Cardiovasc Dis NMCD. 2020;30(1):92–8.
Article
PubMed
Google Scholar
Suhre K, McCarthy MI, Schwenk JM. Genetics meets proteomics: perspectives for large population-based studies. Nat Rev Genet. 2021;22(1):19–37.
Article
CAS
PubMed
Google Scholar