Markers of metabolic health and gut microbiome diversity:findings from two population-based cohort studies

• Published in: Diabetologia
• Main Authors: Zouiouich, Semi, Loftfield, Erikka, Huybrechts, Inge, Viallon, Vivian, Louca, Panayiotis, Vogtmann, Emily, Wells, Philippa M., Steves, Claire J., Herzig, Karl Heinz, Menni, Cristina, Jarvelin, Marjo Riitta, Sinha, Rashmi, Gunter, Marc J.
• Format: Article in Journal/Newspaper
• Language: English
• Published: 2021
• Subjects: Faecal microbiome; HOMA-IR; Insulin resistance; Metabolic health; Northern Finland
• Online Access: https://kclpure.kcl.ac.uk/portal/en/publications/4e86be8d-3bbb-4b81-9dfb-7b59a55d4103; https://doi.org/10.1007/s00125-021-05464-w; http://www.scopus.com/inward/record.url?scp=85107469489&partnerID=8YFLogxK

Aims/hypothesis: The gut microbiome is hypothesised to be related to insulin resistance and other metabolic variables. However, data from population-based studies are limited. We investigated associations between serologic measures of metabolic health and the gut microbiome in the Northern Finland Birth Cohort 1966 (NFBC1966) and the TwinsUK cohort. Methods: Among 506 individuals from the NFBC1966 with available faecal microbiome (16S rRNA gene sequence) data, we estimated associations between gut microbiome diversity metrics and serologic levels of HOMA for insulin resistance (HOMA-IR), HbA 1c and C-reactive protein (CRP) using multivariable linear regression models adjusted for sex, smoking status and BMI. Associations between gut microbiome diversity measures and HOMA-IR and CRP were replicated in 1140 adult participants from TwinsUK, with available faecal microbiome (16S rRNA gene sequence) data. For both cohorts, we used general linear models with a quasi-Poisson distribution and Microbiome Regression-based Kernel Association Test (MiRKAT) to estimate associations of metabolic variables with alpha- and beta diversity metrics, respectively, and generalised additive models for location scale and shape (GAMLSS) fitted with the zero-inflated beta distribution to identify taxa associated with the metabolic markers. Results: In NFBC1966, alpha diversity was lower in individuals with higher HOMA-IR with a mean of 74.4 (95% CI 70.7, 78.3) amplicon sequence variants (ASVs) for the first quartile of HOMA-IR and 66.6 (95% CI 62.9, 70.4) for the fourth quartile of HOMA-IR. Alpha diversity was also lower with higher HbA 1c (number of ASVs and Shannon’s diversity, p < 0.001 and p = 0.003, respectively) and higher CRP (number of ASVs, p = 0.025), even after adjustment for BMI and other potential confounders. In TwinsUK, alpha diversity measures were also lower among participants with higher measures of HOMA-IR and CRP. When considering beta diversity measures, we found that microbial community profiles were associated ...