Beaumont Michelle, Goodrich Julia K, Jackson Matthew A, Yet Idil, Davenport Emily R, Vieira-Silva Sara, Debelius Justine, Pallister Tess, Mangino Massimo, Raes Jeroen, Knight Rob, Clark Andrew G, Ley Ruth E, Spector Tim D, Bell Jordana T
Department of Twin Research & Genetic Epidemiology, King's College London, St Thomas' Hospital, 3rd Floor, South Wing, Block D, London, SE1 7EH, UK.
Department of Microbiology, Cornell University, Ithaca, NY, 14853, USA.
Genome Biol. 2016 Sep 26;17(1):189. doi: 10.1186/s13059-016-1052-7.
Variation in the human fecal microbiota has previously been associated with body mass index (BMI). Although obesity is a global health burden, the accumulation of abdominal visceral fat is the specific cardio-metabolic disease risk factor. Here, we explore links between the fecal microbiota and abdominal adiposity using body composition as measured by dual-energy X-ray absorptiometry in a large sample of twins from the TwinsUK cohort, comparing fecal 16S rRNA diversity profiles with six adiposity measures.
We profile six adiposity measures in 3666 twins and estimate their heritability, finding novel evidence for strong genetic effects underlying visceral fat and android/gynoid ratio. We confirm the association of lower diversity of the fecal microbiome with obesity and adiposity measures, and then compare the association between fecal microbial composition and the adiposity phenotypes in a discovery subsample of twins. We identify associations between the relative abundances of fecal microbial operational taxonomic units (OTUs) and abdominal adiposity measures. Most of these results involve visceral fat associations, with the strongest associations between visceral fat and Oscillospira members. Using BMI as a surrogate phenotype, we pursue replication in independent samples from three population-based cohorts including American Gut, Flemish Gut Flora Project and the extended TwinsUK cohort. Meta-analyses across the replication samples indicate that 8 OTUs replicate at a stringent threshold across all cohorts, while 49 OTUs achieve nominal significance in at least one replication sample. Heritability analysis of the adiposity-associated microbial OTUs prompted us to assess host genetic-microbe interactions at obesity-associated human candidate loci. We observe significant associations of adiposity-OTU abundances with host genetic variants in the FHIT, TDRG1 and ELAVL4 genes, suggesting a potential role for host genes to mediate the link between the fecal microbiome and obesity.
Our results provide novel insights into the role of the fecal microbiota in cardio-metabolic disease with clear potential for prevention and novel therapies.
此前已发现人类粪便微生物群的变化与体重指数(BMI)有关。尽管肥胖是一项全球性的健康负担,但腹部内脏脂肪的堆积是特定的心脏代谢疾病风险因素。在此,我们利用双能X线吸收法测量的身体成分,在来自英国双胞胎队列的大量双胞胎样本中,探索粪便微生物群与腹部肥胖之间的联系,将粪便16S rRNA多样性谱与六种肥胖指标进行比较。
我们对3666对双胞胎的六种肥胖指标进行了分析,并估计了它们的遗传力,发现了新的证据,表明内脏脂肪和男性/女性体型比例存在强大的遗传效应。我们证实了粪便微生物群多样性降低与肥胖及肥胖指标之间的关联,然后在双胞胎的一个发现性子样本中比较了粪便微生物组成与肥胖表型之间的关联。我们确定了粪便微生物操作分类单元(OTU)的相对丰度与腹部肥胖指标之间的关联。这些结果大多涉及内脏脂肪关联,其中内脏脂肪与颤螺菌属成员之间的关联最为强烈。以BMI作为替代表型,我们在来自三个基于人群的队列(包括美国肠道项目、佛兰芒肠道菌群项目和扩展的英国双胞胎队列)的独立样本中进行重复验证。对重复样本的荟萃分析表明,8个OTU在所有队列的严格阈值下重复出现,而49个OTU在至少一个重复样本中达到名义显著性。对与肥胖相关的微生物OTU进行遗传力分析促使我们评估肥胖相关人类候选基因座处的宿主基因-微生物相互作用。我们观察到肥胖-OTU丰度与FHIT、TDRG1和ELAVL4基因中的宿主遗传变异之间存在显著关联,这表明宿主基因在介导粪便微生物群与肥胖之间的联系中可能发挥作用。
我们的研究结果为粪便微生物群在心脏代谢疾病中的作用提供了新的见解,具有明确的预防和新疗法潜力。