Gut microbiota may contribute to the adiposity-associated disease risk, but human studies reported inconsistent associations of adiposity with gut microbiota composition. We examined associations of body mass index (BMI) with alpha diversity and relative microbial abundance at the phylum and genus taxonomic levels (based on 16S rRNA amplicon sequencing or metagenomics) among 7415 adults from eight European observational studies in a joint federated analysis of harmonized data using DataSHIELD. Higher BMI (per 5 kg/m2) was associated with lower alpha diversity (β: −0.05; 95% CI: −0.07, −0.03) and, on the phylum level, positively associated with Proteobacteria, but neither with Firmicutes nor Bacteroidetes nor their ratio, where high between-study heterogeneity was observed. On the genus level, BMI was inversely associated with the relative abundance of Faecalibacterium of the Firmicutesphylum (β: −0.11; 95% CI: −0.14, −0.07) but positively with the odds of detection of Dorea, Streptococcus, and Clostridium (all threeFirmicutes) as well as Collinsella (Actinobacteria). This federated analysis of multiple studies found lower alpha diversity, alongsidedepleted Faecalibacterium, as well as higher odds of detection of Dorea, Streptococcus, Clostridium, and Collinsella with higher adi-posity. By combining data from diverse study populations using harmonized data and statistical methods, our analysis partly over-comes sources of heterogeneity that may explain previously observed inconsistencies.
Associations of Adiposity With Gut Microbiota Composition Among Adults—Results From a Federated Analysis of Individual Participant Data From Eight European Observational Studies
Maria Angelis De;Francesco Maria Calabrese;
2026-01-01
Abstract
Gut microbiota may contribute to the adiposity-associated disease risk, but human studies reported inconsistent associations of adiposity with gut microbiota composition. We examined associations of body mass index (BMI) with alpha diversity and relative microbial abundance at the phylum and genus taxonomic levels (based on 16S rRNA amplicon sequencing or metagenomics) among 7415 adults from eight European observational studies in a joint federated analysis of harmonized data using DataSHIELD. Higher BMI (per 5 kg/m2) was associated with lower alpha diversity (β: −0.05; 95% CI: −0.07, −0.03) and, on the phylum level, positively associated with Proteobacteria, but neither with Firmicutes nor Bacteroidetes nor their ratio, where high between-study heterogeneity was observed. On the genus level, BMI was inversely associated with the relative abundance of Faecalibacterium of the Firmicutesphylum (β: −0.11; 95% CI: −0.14, −0.07) but positively with the odds of detection of Dorea, Streptococcus, and Clostridium (all threeFirmicutes) as well as Collinsella (Actinobacteria). This federated analysis of multiple studies found lower alpha diversity, alongsidedepleted Faecalibacterium, as well as higher odds of detection of Dorea, Streptococcus, Clostridium, and Collinsella with higher adi-posity. By combining data from diverse study populations using harmonized data and statistical methods, our analysis partly over-comes sources of heterogeneity that may explain previously observed inconsistencies.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


