Literature DB >> 34219465

Cardiovascular Biomarkers of Obesity and Overlap With Cardiometabolic Dysfunction.

Emily S Lau1, Samantha M Paniagua1,2, Shahrooz Zarbafian1,2, Udo Hoffman3, Michelle T Long4, Shih-Jen Hwang5,6, Paul Courchesne6, Chen Yao6,7, Jiantao Ma6,7, Martin G Larson5,6, Daniel Levy6,7, Ravi V Shah1,2, Jennifer E Ho1,2.   

Abstract

Background Obesity may be associated with a range of cardiometabolic manifestations. We hypothesized that proteomic profiling may provide insights into the biological pathways that contribute to various obesity-associated cardiometabolic traits. We sought to identify proteomic signatures of obesity and examine overlap with related cardiometabolic traits, including abdominal adiposity, insulin resistance, and adipose depots. Methods and Results We measured 71 circulating cardiovascular disease protein biomarkers in 6981 participants (54% women; mean age, 49 years). We examined the associations of obesity, computed tomography measures of adiposity, cardiometabolic traits, and incident metabolic syndrome with biomarkers using multivariable regression models. Of the 71 biomarkers examined, 45 were significantly associated with obesity, of which 32 were positively associated and 13 were negatively associated with obesity (false discovery rate q<0.05 for all). There was significant overlap of biomarker profiles of obesity and cardiometabolic traits, but 23 biomarkers, including melanoma cell adhesion molecule (MCAM), growth differentiation factor-15 (GDF15), and lipoprotein(a) (LPA) were unique to metabolic traits only. Using hierarchical clustering, we found that the protein biomarkers clustered along 3 main trait axes: adipose, metabolic, and lipid traits. In longitudinal analyses, 6 biomarkers were significantly associated with incident metabolic syndrome: apolipoprotein B (apoB), insulin-like growth factor-binding protein 2 (IGFBP2), plasma kallikrein (KLKB1), complement C2 (C2), fibrinogen (FBN), and N-terminal pro-B-type natriuretic peptide (NT-proBNP); false discovery rate q<0.05 for all. Conclusions We found that the proteomic architecture of obesity overlaps considerably with associated cardiometabolic traits, implying shared pathways. Despite overlap, hierarchical clustering of proteomic profiles identified 3 distinct clusters of cardiometabolic traits: adipose, metabolic, and lipid. Further exploration of these novel protein targets and associated pathways may provide insight into the mechanisms responsible for the progression from obesity to cardiometabolic disease.

Entities:  

Keywords:  biomarkers; cardiometabolic disease; obesity

Year:  2021        PMID: 34219465     DOI: 10.1161/JAHA.120.020215

Source DB:  PubMed          Journal:  J Am Heart Assoc        ISSN: 2047-9980            Impact factor:   5.501


  3 in total

1.  Monoamine oxidase is a source of cardiac oxidative stress in obese rats: the beneficial role of metformin.

Authors:  Adrian P Merce; Loredana N Ionică; Anca M Bînă; Simona Popescu; Rodica Lighezan; Lucian Petrescu; Claudia Borza; Adrian Sturza; Danina M Muntean; Octavian M Creţu
Journal:  Mol Cell Biochem       Date:  2022-06-20       Impact factor: 3.396

Review 2.  Metabolic Syndrome-Related Kidney Injury: A Review and Update.

Authors:  Lirong Lin; Wei Tan; Xianfeng Pan; En Tian; Zhifeng Wu; Jurong Yang
Journal:  Front Endocrinol (Lausanne)       Date:  2022-06-23       Impact factor: 6.055

Review 3.  The Translation and Commercialisation of Biomarkers for Cardiovascular Disease-A Review.

Authors:  Soloman Saleh; Jacob George; Katharine A Kott; Peter J Meikle; Gemma A Figtree
Journal:  Front Cardiovasc Med       Date:  2022-06-02
  3 in total

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