Aldehyde Dehydrogenases Genetic Polymorphism and Obesity: From Genomics to Behavior and Health

A Systematic Review of Proteomics in Obesity: Unpacking the Molecular Puzzle

PURPOSE OF REVIEW

The present study aims to review the existing literature to identify pathophysiological proteins in obesity by conducting a systematic review of proteomics studies. Proteomics may reveal the mechanisms of obesity development and clarify the links between obesity and related diseases, improving our comprehension of obesity and its clinical implications.

RECENT FINDINGS

Most of the molecular events implicated in obesity development remain incomplete. Proteomics stands as a powerful tool for elucidating the intricate interactions among proteins in the context of obesity. This methodology has the potential to identify proteins involved in pathological processes and to evaluate changes in protein abundance during obesity development, contributing to the identification of early disease predisposition, monitoring the effectiveness of interventions and improving disease management overall. Despite many non-targeted proteomic studies exploring obesity, a comprehensive and up-to-date systematic review of the molecular events implicated in obesity development is lacking. The lack of such a review presents a significant challenge for researchers trying to interpret the existing literature. This systematic review was conducted following the PRISMA guidelines and included sixteen human proteomic studies, each of which delineated proteins exhibiting significant alterations in obesity. A total of 41 proteins were reported to be altered in obesity by at least two or more studies. These proteins were involved in metabolic pathways, oxidative stress responses, inflammatory processes, protein folding, coagulation, as well as structure/cytoskeleton. Many of the identified proteomic biomarkers of obesity have also been reported to be dysregulated in obesity-related disease. Among them, seven proteins, which belong to metabolic pathways (aldehyde dehydrogenase and apolipoprotein A1), the chaperone family (albumin, heat shock protein beta 1, protein disulfide-isomerase A3) and oxidative stress and inflammation proteins (catalase and complement C3), could potentially serve as biomarkers for the progression of obesity and the development of comorbidities, contributing to personalized medicine in the field of obesity. Our systematic review in proteomics represents a substantial step forward in unravelling the complexities of protein alterations associated with obesity. It provides valuable insights into the pathophysiological mechanisms underlying obesity, thereby opening avenues for the discovery of potential biomarkers and the development of personalized medicine in obesity.

Serum galectin-3BP as a novel marker of obesity and metabolic syndrome in Chinese adolescents

INTRODUCTION

Childhood obesity (OB) and metabolic syndrome (MetS) have become a worldwide health problem. Comparative proteomic approaches are widely used in human OB to analyze protein changes in blood plasma. The present study determined the galectin-3 binding protein (galectin-3BP) expression level in different weight categories and assessed the associations between galectin-3BP and OB and MetS.

RESEARCH DESIGN AND METHODS

The current study included 932 Chinese adolescents 13-18 years of age. The biochemical and anthropometric variables of all the subjects were evaluated using standardized procedures. The differentially expressed proteins (DEPs) were investigated among 60 adolescents (20 normal weight, 20 overweight and 20 obese) using tandem mass tag (TMT) quantitative proteomics. The serum galectin-3BP level was measured using ELISA. The associations between galectin-3BP and OB and MetS were analyzed in 932 adolescents using multiple logistic regression analyses.

RESULTS

A significant DEP, galectin-3BP, can effectively separate the obese from the normal weight group using TMT. Adolescents in tertile 3 of galectin-3BP, when compared with adolescents in the tertile 1, were positively associated with OB (OR=3.32, 95% CI 1.79 to 6.16) and MetS (OR=3.28, 95% CI 1.30 to 8.26). The receiver operating characteristic curve for galectin-3BP in subjects with MetS indicated that the area under the curve was 0.85 (95% CI 0.79 to 0.91).

CONCLUSIONS

This study confirmed an association between galectin-3BP and OB in Chinese adolescents, and galectin-3BP was also positively associated with MetS, and thus might be useful for identifying adolescents with MetS.