Genetic variants in ghrelin (rs27647, rs696217) and leptin (rs7799039) are not associated with body composition parameters but are related to appetitive traits in Mexican young adults

IF 1 Q4 GENETICS & HEREDITY Gene Reports Pub Date : 2024-10-29 DOI:10.1016/j.genrep.2024.102071
Astrid S. Espinoza García , Rosa L. Díaz Chávez , Elia H. Valdés Miramontes , Isela Parra Rojas , Zyanya Reyes Castillo
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Abstract

Purpose

Obesity develops as a result of the interplay between obesogenic environment and the individual's eating behaviors. Genetic variants in genes coding for neuropeptides involved in metabolic regulation, such as ghrelin (GHRL) and leptin (LEP) have been associated to development of obesity and its role on appetite regulation has also been suggested. The purpose of this exploratory study was to evaluate the association of genetic variants at GHRL (rs27647, rs696217) and LEP (rs7799039) with body composition parameters as well as food approach and food avoidance appetitive traits in young adults from western Mexico.

Methods

255 young adults were included. Body composition parameters were measured by bioelectrical bioimpedance, and appetitive traits were assessed via Adult Eating Behavior Questionnaire (AEBQ). Genotyping of rs27647, rs696217 and rs7799039 variants was performed using PCR-RFLP techniques.

Results and conclusion

Median age for both sexes were 20 (19–21) years, mean body fat percentage was 36.1 ± 7.8 for women, and for men 23.7 ± 7.4. The evaluated genetic variants were not associated to body composition parameters, however GG genotype of the rs696217 variant in GHRL was associated to higher scores on food approach appetitive traits (enjoyment of food p < 0.01 and food responsiveness p < 0.0009). In addition, the GG genotype of rs7799039 variant in LEP was associated to higher scores in food avoidance appetitive traits (emotional undereating p < 0.004 and food fussiness p < 0.001). Our results suggest an association between genetic variants in GHRL and LEP genes with appetitive traits in Mexican young adults, showing an indirect genetic link with obesity, through eating behaviors modulation.
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在墨西哥青壮年中,胃泌素(rs27647、rs696217)和瘦素(rs7799039)的基因变异与身体成分参数无关,但与食欲特征有关
目的肥胖的形成是肥胖环境与个人饮食行为相互作用的结果。参与代谢调节的神经肽(如胃泌素(GHRL)和瘦素(LEP))编码基因的遗传变异与肥胖的发生有关,其对食欲调节的作用也被认为与肥胖有关。这项探索性研究的目的是评估 GHRL(rs27647、rs696217)和 LEP(rs7799039)基因变异与墨西哥西部青壮年身体成分参数以及食物接近和食物回避食欲特征的关系。身体成分参数通过生物电生物阻抗测量,食欲特质通过成人进食行为问卷(AEBQ)评估。采用 PCR-RFLP 技术对 rs27647、rs696217 和 rs7799039 变体进行了基因分型。结果和结论男女平均年龄为 20(19-21)岁,女性平均体脂率为 36.1 ± 7.8,男性为 23.7 ± 7.4。所评估的基因变异与身体成分参数无关,但GHRL中rs696217变异的GG基因型与较高的食物接近性食欲特征得分有关(食物享受性p < 0.01,食物反应性p < 0.0009)。此外,LEP 中 rs7799039 变体的 GG 基因型与较高的食物回避食欲特质得分相关(情绪性不节食 p < 0.004 和食物烦躁 p < 0.001)。我们的研究结果表明,GHRL 和 LEP 基因的遗传变异与墨西哥年轻人的食欲特质有关,这表明通过饮食行为的调节与肥胖有间接的遗传联系。
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来源期刊
Gene Reports
Gene Reports Biochemistry, Genetics and Molecular Biology-Genetics
CiteScore
3.30
自引率
7.70%
发文量
246
审稿时长
49 days
期刊介绍: Gene Reports publishes papers that focus on the regulation, expression, function and evolution of genes in all biological contexts, including all prokaryotic and eukaryotic organisms, as well as viruses. Gene Reports strives to be a very diverse journal and topics in all fields will be considered for publication. Although not limited to the following, some general topics include: DNA Organization, Replication & Evolution -Focus on genomic DNA (chromosomal organization, comparative genomics, DNA replication, DNA repair, mobile DNA, mitochondrial DNA, chloroplast DNA). Expression & Function - Focus on functional RNAs (microRNAs, tRNAs, rRNAs, mRNA splicing, alternative polyadenylation) Regulation - Focus on processes that mediate gene-read out (epigenetics, chromatin, histone code, transcription, translation, protein degradation). Cell Signaling - Focus on mechanisms that control information flow into the nucleus to control gene expression (kinase and phosphatase pathways controlled by extra-cellular ligands, Wnt, Notch, TGFbeta/BMPs, FGFs, IGFs etc.) Profiling of gene expression and genetic variation - Focus on high throughput approaches (e.g., DeepSeq, ChIP-Seq, Affymetrix microarrays, proteomics) that define gene regulatory circuitry, molecular pathways and protein/protein networks. Genetics - Focus on development in model organisms (e.g., mouse, frog, fruit fly, worm), human genetic variation, population genetics, as well as agricultural and veterinary genetics. Molecular Pathology & Regenerative Medicine - Focus on the deregulation of molecular processes in human diseases and mechanisms supporting regeneration of tissues through pluripotent or multipotent stem cells.
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