Work

Ecological associations between ambient air pollution, gut microbiome composition, and metabolic markers in urban populations of central India

Year: 2026

Type: article

Abstract: Objective: To investigate the ecological level associations and spatial co-variation among ambient air pollutants, Type 2 diabetes (T2D) related clinical markers, and gut microbiome composition in urban populations of Bhopal, India. Methods: , were obtained from local monitoring stations. Exposure assessment was based on location level ambient monitoring data corresponding to participants' residential localities rather than individual level personal exposure measurements. Clinical assessments were performed to measure T2D related metabolic parameters, and fecal samples were analyzed using full-length 16S rRNA sequencing to profile gut microbiome composition. Associations between pollutant levels, metabolic markers, and microbial taxa were evaluated using exploratory correlation and compositional analyses. Results: ) showed inconsistent and non-directional associations with metabolic markers. Gut microbiome analyses revealed broadly similar microbial community structures with subtle differences in diversity and composition across locations. Although variations were observed in selected microbial taxa, most genus-level differences did not remain statistically significant following multiple testing correction. Conclusion: Air pollution and gut microbiome composition appear to have a descriptive role in metabolic health. The findings describe ecological level co-variation between ambient air pollution indicators, metabolic parameters, and gut microbiome composition across the study populations. Because the study design was cross-sectional and exposure assessment relied on location level monitoring data, the results should be interpreted as descriptive and hypothesis-generating rather than causal. Further longitudinal studies incorporating individual level exposure assessment and functional microbiome analyses are required to better evaluate these relationships.

Source: Frontiers in Public Health

DOI: 10.3389/fpubh.2026.1834285