Gut microbial composition and diversity varies by CREBRF genotype among Samoan infants.

IF 2.5 4区 生物学 Q3 CELL BIOLOGY
Physiological genomics Pub Date : 2025-08-01 Epub Date: 2025-05-14 DOI:10.1152/physiolgenomics.00014.2024
Sakurako Oyama, Kendall J Arslanian, Maria Luisa Savo Sardaro, Rachel L Duckham, Erin E Kershaw, Ashlee N Wood, Ulai T Fidow, Take Naseri, Muagututia S Reupena, Katherine R Amato, Nicola L Hawley
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引用次数: 0

Abstract

Over 40% of Samoans have at least one copy of the minor A allele at rs373863828 in encoding CREB3 regulatory factor (CREBRF), which is associated with increased body mass index (BMI) but decreased odds of type 2 diabetes mellitus. The mechanisms underlying this paradoxical effect remain unknown. We hypothesized that gut microbiota may play a role and examined associations between CREBRF genotype and gut microbial diversity and composition among Samoan infants. Fecal samples were collected from Samoan infants aged 0 (n = 23), 4 (n = 20), and 21 (n = 27) mo. Microbiota community structure was analyzed using 16S rRNA bacterial gene sequencing. Both cross-sectional and longitudinal analyses revealed no associations between CREBRF genotype and overall microbiome composition or diversity at 0 or 4 mo. Cross-sectional analysis at 21 mo revealed a significant association between genotype and unweighted UniFrac distances (F1,24 = 1.855, R2 = 0.072, P = 0.015). Longitudinal differential abundance analysis also revealed several differentially abundant taxa at 21 mo. Notably, the AG genotype was associated with a lower relative abundance of Escherichia-Shigella (β = -6.741, SE = 2.243, P = 0.004, q = 0.042). Significant genotype differences in gut microbiome composition and diversity at 21 mo suggest that gut microbiota may be involved in relationships between CREBRF genotype and metabolic health. No genotype differences were observed at 0 or 4 mo, suggesting that environmental and/or maternal variables have a greater influence on the gut microbiome in early infancy, and genotype effects emerge later. Further research should examine whether genotype differences in gut microbiota are associated with functional differences in metabolic or immune signaling pathways or energy extraction.NEW & NOTEWORTHY Missense variant rs373863828 in CREBRF is associated with higher odds of obesity but lower odds of diabetes among Polynesians. We examined associations between CREBRF genotype and gut microbial diversity and composition among Samoan infants and identified significant differences at age 21 mo but not at age 0 or 4 mo. These results suggest that gut microbiota may contribute to the mechanisms through which CREBRF genotype impacts metabolic health.

萨摩亚婴儿肠道微生物组成和多样性因CREBRF基因型而异。
超过40%的萨摩亚人至少有一个CREB3调节因子(CREBRF) rs373863828的小等位基因拷贝,这与BMI增加有关,但与2型糖尿病的发病率降低有关。这种矛盾效应背后的机制尚不清楚。我们假设肠道微生物群可能起作用,并研究了萨摩亚婴儿中CREBRF基因型与肠道微生物多样性和组成之间的关系。方法:收集0 (n=23)、4 (n=20)和21 (n=27)月龄萨摩亚婴儿的粪便样本。采用16S rRNA细菌基因测序分析菌群群落结构。结果:横断面和纵向分析均显示,0或4个月时,CREBRF基因型与总体微生物组组成或多样性之间没有关联。21个月的横断面分析显示,基因型与未加权UniFrac距离之间存在显著相关性(F1,24=1.855, R2=0.072, p=0.015)。纵向差异丰度分析还发现了21个月时的几个差异丰度分类群。值得注意的是,AG基因型与志贺氏杆菌相对丰度较低相关(β=-6.741, SE=2.243, p=。004年,q = .042)。讨论:21个月时肠道微生物组组成和多样性的显著基因型差异表明肠道微生物群可能参与CREBRF基因型与代谢健康之间的关系。在0个月或4个月时没有观察到基因型差异,这表明环境和/或母亲变量对婴儿早期肠道微生物组的影响更大,基因型效应随后出现。进一步的研究应该检查肠道微生物群的基因型差异是否与代谢或免疫信号通路或能量提取的功能差异有关。
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来源期刊
Physiological genomics
Physiological genomics 生物-生理学
CiteScore
6.10
自引率
0.00%
发文量
46
审稿时长
4-8 weeks
期刊介绍: The Physiological Genomics publishes original papers, reviews and rapid reports in a wide area of research focused on uncovering the links between genes and physiology at all levels of biological organization. Articles on topics ranging from single genes to the whole genome and their links to the physiology of humans, any model organism, organ, tissue or cell are welcome. Areas of interest include complex polygenic traits preferably of importance to human health and gene-function relationships of disease processes. Specifically, the Journal has dedicated Sections focused on genome-wide association studies (GWAS) to function, cardiovascular, renal, metabolic and neurological systems, exercise physiology, pharmacogenomics, clinical, translational and genomics for precision medicine, comparative and statistical genomics and databases. For further details on research themes covered within these Sections, please refer to the descriptions given under each Section.
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