Novel variations in the adiponectin gene (ADIPOQ) may affect distribution of oligomeric complexes

A Systematic Narrative Review on ADIPOQ Gene Variants and its Association with T2DM in the Indian Population

BACKGROUND

The prevalence of diabetes is rapidly increasing in India, even among young adult individuals. Rare adiponectin gene (ADIPOQ) variants may be predominantly present in Indians and decrease the circulatory levels of APN (Adiponectin). Studies reported that ADIPOQ gene variants were associated with type 2 diabetes mellitus (T2DM) and its complications in the Indian population.

OBJECTIVES

To review the association of specific ADIPOQ gene variants with T2DM and its associated complications.

MATERIALS & METHODS

A search of Pubmed, Chinhal, Medline, Scopus, Web of Science databases, and Google Scholar search engine was performed to retrieve articles by using the following keywords; "ADIPOQ and T2DM", "ADIPOQ and India," "ADIPOQ gene variants and T2DM", "ADIPOQ gene variants and T2DM and India", "SNPs of ADIPOQ gene and T2DM", "SNPs of ADIPOQ gene and India," SNPs of ADIPOQ gene and T2DM and India". Eligibility criteria for the inclusion of articles: Original, Case-Control Study, and Full-Text articles were published in the English language till the end of April 2023.

RESULTS

A total of 540 articles were retrieved. Out of this, only 18 articles were found suitable to include in this systematic narrative review. The most studied ADIPOQ gene variants were found to be +10211T/G (rs17846866), +45T/G (rs2241766), and +276G/T (rs1501299) in different Indian populations.

CONCLUSION

It was reviewed that ADIPOQ gene variants +10211T/G (rs17846866), +45T/G (rs2241766), and +276G/T (rs1501299) were predominantly present in the Indian population, and decreasing the circulatory levels of APN and significantly associated with T2DM and its complications.<.

Adiponectin GWAS loci harboring extensive allelic heterogeneity exhibit distinct molecular consequences

Loci identified in genome-wide association studies (GWAS) can include multiple distinct association signals. We sought to identify the molecular basis of multiple association signals for adiponectin, a hormone involved in glucose regulation secreted almost exclusively from adipose tissue, identified in the Metabolic Syndrome in Men (METSIM) study. With GWAS data for 9,262 men, four loci were significantly associated with adiponectin: ADIPOQ, CDH13, IRS1, and PBRM1. We performed stepwise conditional analyses to identify distinct association signals, a subset of which are also nearly independent (lead variant pairwise r²<0.01). Two loci exhibited allelic heterogeneity, ADIPOQ and CDH13. Of seven association signals at the ADIPOQ locus, two signals colocalized with adipose tissue expression quantitative trait loci (eQTLs) for three transcripts: trait-increasing alleles at one signal were associated with increased ADIPOQ and LINC02043, while trait-increasing alleles at the other signal were associated with decreased ADIPOQ-AS1. In reporter assays, adiponectin-increasing alleles at two signals showed corresponding directions of effect on transcriptional activity. Putative mechanisms for the seven ADIPOQ signals include a missense variant (ADIPOQ G90S), a splice variant, a promoter variant, and four enhancer variants. Of two association signals at the CDH13 locus, the first signal consisted of promoter variants, including the lead adipose tissue eQTL variant for CDH13, while a second signal included a distal intron 1 enhancer variant that showed ~2-fold allelic differences in transcriptional reporter activity. Fine-mapping and experimental validation demonstrated that multiple, distinct association signals at these loci can influence multiple transcripts through multiple molecular mechanisms.

Many DNA variants affect common human traits, and distinct variants can have different effects on the function or expression level of the same gene. We identified variants associated with levels of adiponectin, a hormone involved in glucose regulation. Among these variants, we specifically studied the sets of variants located near two genes, ADIPOQ and CDH13, to determine how the variants affect gene expression or function. We focused on sets of variants that can be inherited together but are not always inherited together. Of the variants associated with adiponectin and located near ADIPOQ, one set were also associated with higher expression levels of the protein-coding ADIPOQ gene and a nearby non-coding gene, a second set of variants were associated with lower levels of the ADIPOQ-AS1 antisense gene, and additional variants changed the amino acid sequence or size of the adiponectin protein. Our examples show the benefits of identifying multiple sets of trait-associated variants in the same DNA region. These variants explain more trait variation, help identify genes that affect the trait, and guide studies of gene regulation and biological processes.

Metabolic syndrome: an update on diagnostic criteria, pathogenesis, and genetic links

Metabolic syndrome (MetS), today a major global public health problem, is a cluster of clinical, metabolic, and biochemical abnormalities, such as central adiposity, hypertension, insulin resistance, and dyslipidemias. These MetS-related traits significantly increase the risk of type 2 diabetes mellitus, adverse cardiac events, stroke, and hepatic steatosis. The pathogenesis of MetS is multifactorial, with the interplay of environmental, nutritional, and genetic factors. Chronic low-grade inflammation together with visceral adipose tissue, adipocyte dysfunction, and insulin resistance plays a major role in the progression of the syndrome by impairing lipid and glucose homeostasis in insulin-sensitive tissues, such as the liver, muscle, and adipocytes. Adipose-derived inflammatory cytokines and non-esterified fatty acids establish the link between central obesity IR, inflammation, and atherogenesis. Various studies have reported an association between MetS and related traits with single-nucleotide polymorphisms of different susceptibility genes. Modulation of cytokine levels, pro-oxidants, and disturbed energy homeostasis, in relation to the genetic variations, is described in this review of the recent literature, which also provides updated data regarding the epidemiology, diagnostic criteria, and pathogenesis of MetS.

In silico Evaluation of Nonsynonymous Single Nucleotide Polymorphisms in the ADIPOQ Gene Associated with Diabetes, Obesity, and Inflammation

BACKGROUND

The human ADIPOQ gene encodes adiponectin protein hormone, which is involved in regulating glucose levels as well as fatty acid breakdown. It is exclusively produced by adipose tissue and abundantly present in the circulation, with concentration of around 0.01% of total serum proteins, with important effect on metabolism.

METHODS

Most deleterious nonsynonymous single nucleotide polymorphisms in the coding region of the ADIPOQ gene were investigated using SNP databases, and detected nonsynonymous variants were analyzed in silico from the standpoint of relevant protein function and stability by using SIFT, PolyPhen-2, PROVEAN and MUpro, I-Mutant2.0 tools, respectively.

RESULT

A total of 58 nonsynonymous SNPs consisting of 55 missense variations, 3 nonsense variations were found in the ADIPOQ gene. Next, 14 of the 55 missense variants were predicted to be damaging or deleterious by three different software programs (PolyPhen-2, SIFT, and PROVEAN), and 38 of them were predicted to be less stable (I-Mutant 2.0 and MUpro software). Totally, 10 variants out of 55 missense variants were predicted to be both deleterious and reduce protein stability. Additionally, 3 nonsense variants were predicted to produce a truncated ADIPOQ protein. RMSD and total energy were calculated for 4 nsSNPs out of 10 nsSNPs which were both deleterious and showed a decrease in protein stability.

CONCLUSION

rs144526209 has high root-mean-square deviation (RMSD) and lower total energy value compared to the native modeled structure. It was concluded that this nsSNP, potentially functional and polymorphic in the ADIPOQ gene, might be associated with diabetes, obesity, and inflammation.