Hatton-Jones Kyle M, West Nicholas P, Thang Mike W C, Chen Pin-Yen, Davoren Peter, Cripps Allan W, Cox Amanda J
School of Pharmacy and Medical Science, Griffith University, Southport, Australia.
Menzies Health Institute Queensland, Griffith University, Southport, Australia.
J Obes Metab Syndr. 2024 Mar 30;33(1):64-75. doi: 10.7570/jomes23022. Epub 2024 Mar 21.
The contributions of the gut microbiota to obesity and metabolic disease represent a potentially modifiable factor that may explain variation in risk between individuals. This study aimed to explore relationships among microbial composition and imputed functional attributes, a range of soluble metabolic and immune indices, and gene expression markers in males with or without evidence of metabolic dysregulation (MetDys).
This case-control study included healthy males (n=15; 41.9±11.7 years; body mass index [BMI], 22.9±1.2 kg/m) and males with evidence of MetDys (n=14; 46.6±10.0 years; BMI, 35.1±3.3 kg/m) who provided blood and faecal samples for assessment of a range of metabolic and immune markers and microbial composition using 16S rRNA gene sequencing. Metagenomic functions were imputed from microbial sequence data for analysis.
In addition to elevated values in a range of traditional metabolic, adipokine and inflammatory indices in the MetDys group, 23 immunomodulatory genes were significantly altered in the MetDys group. Overall microbial diversity did not differ between groups; however, a trend for a higher relative abundance of the (=0.06) and a lower relative abundance of the (=0.09) phyla was noted in the MetDys group. Using both family- and genera-level classifications, a partial least square discriminant analysis revealed unique microbial signatures between the groups.
These findings confirm the need for ongoing investigations in human clinical cohorts to further resolve the relationships between the gut microbiota and metabolic and immune markers and risk for metabolic disease.
肠道微生物群对肥胖和代谢性疾病的影响代表了一个潜在的可调节因素，这可能解释个体之间风险的差异。本研究旨在探讨微生物组成与推定的功能属性、一系列可溶性代谢和免疫指标以及有无代谢失调（MetDys）证据的男性基因表达标志物之间的关系。
这项病例对照研究纳入了健康男性（n = 15；41.9±11.7岁；体重指数[BMI]，22.9±1.2 kg/m²）和有MetDys证据的男性（n = 14；46.6±10.0岁；BMI，35.1±3.3 kg/m²），他们提供血液和粪便样本，用于评估一系列代谢和免疫标志物以及使用16S rRNA基因测序分析微生物组成。从微生物序列数据中推算宏基因组功能进行分析。
除了MetDys组中一系列传统代谢、脂肪因子和炎症指标值升高外，MetDys组中23个免疫调节基因有显著改变。两组之间总体微生物多样性无差异；然而，在MetDys组中发现 门（=0.06）相对丰度较高和 门（=0.09）相对丰度较低的趋势。使用科和属水平的分类，偏最小二乘判别分析揭示了两组之间独特的微生物特征。
这些发现证实了有必要在人类临床队列中持续进行研究，以进一步明确肠道微生物群与代谢和免疫标志物以及代谢疾病风险之间的关系。
