Background: The association between Apolipoprotein A5 (APOA5) genetic polymorphisms and susceptibility to metabolic syndrome (MetS) has been established by many studies, but there have been conflicting results from the literature. We performed a meta-analysis of observational studies to evaluate the association between APOA5 gene polymorphisms and the prevalence of MetS.
Methods: PubMed, Web of Science, Embase, and Scopus were searched up to April 2024. The random effects model was used to estimate the odds ratios (ORs) and 95% confidence intervals (CI) of the association between APOA5 gene polymorphisms and the prevalence of MetS development. The potential sources of heterogeneity were evaluated by subgroup analyses and sensitivity analyses.
Results: A total of 30 studies with 54,986 subjects (25,341 MetS cases and 29,645 healthy controls) were included. The presence of rs662799 and rs651821 polymorphisms is associated with an approximately 1.5-fold higher likelihood of MetS prevalence (OR = 1.42, 95% CI: 1.32, 1.53, p < 0.001; I = 67.1%; P-heterogeneity < 0.001; and OR = 1.50, 95% CI: 1.36-1.65, p < 0.001), respectively. MetS is also more prevalent in individuals with the genetic variants rs3135506 and rs2075291. There was no evidence of a connection with rs126317.
Conclusion: The present findings suggest that polymorphisms located in the promoter and coding regions of the APOA5 gene are associated with an increased prevalence of MetS in the adult population. Identifying individuals with these genetic variations could lead to early disease detection and the implementation of preventive strategies to reduce the risk of MetS and its related health issues. However, because the sample size was small and there was evidence of significant heterogeneity for some APOA5 gene polymorphisms, these results need to be confirmed by more large-scale and well-designed studies.
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http://dx.doi.org/10.1186/s12864-024-10493-x | DOI Listing |
Circ J
December 2024
Institute of Epidemiology and Preventive Medicine, National Taiwan University.
Am J Hum Genet
November 2024
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA. Electronic address:
Cureus
August 2024
Biochemistry and Biophysics, Karolinska Institute, Stockholm, SWE.
Background Obesity has long been a severe threat to public health as an epidemic, and studies on its pathogenesis and treatment have been ongoing. Our study aims to compare the serum levels of bone morphogenetic protein 1 (BMP1), neuregulin 4 (NRG4), and apolipoprotein A5 (ApoA5) in obese and non-obese individuals and investigate their association with obesity. Methodology Our study included a total of 111 participants, of whom 46 were obese (body mass index (BMI) ≥30 kg/m), aged 18-65 years, and had no comorbidities, and 65 were non-obese (BMI = 18.
View Article and Find Full Text PDFJ Clin Lipidol
August 2024
School of Medicine, Universidad de los Andes, Bogotá, Colombia (Drs Puerto-Baracaldo, Amaya-Montoya, Nieves-Barreto, Gaete and Mendivil); Endocrinology Section, Department of Internal Medicine, Fundación Santa Fe de Bogotá, Bogotá, Colombia (Dr Mendivil). Electronic address:
Background: The genetic substrate of severe hypertriglyceridemia (sHTG) in Latin America is insufficiently understood.
Objective: To identify genetic variants in genes related to triglyceride (TG) metabolism among adults with sHTG from Colombia.
Methods: In individuals with plasma TG≥880 mg/dL at least once in their lifetime, we amplified and sequenced all exons and intron/exon boundaries of the genes LPL, APOC2, APOA5, GPIHBP1 and LMF1.
J Anim Sci
January 2024
Department of Animal Genetics, Breeding and Reproduction, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, China.
Egg-laying is an important trait in chickens, and it is affected by many factors, such as hormones regulated by the hypothalamic-pituitary axis and precursors synthesized by the liver. Recent studies showed that gut microbiota was associated with egg-laying, however, its underlying mechanism remains unclear. We comprehensively analyzed the host transcriptome, gut microbiota, and metabolome in broiler breeder hens during the pre-laying, peak-laying, and late-laying periods.
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