Multiomics profiling reveals signatures of dysmetabolism in urban populations in Central India

Tools

Monaghan, TM, Biswas, RN, Nashine, RR, Joshi, SS, Mullish, BH, Seekatz, AM, Blanco, JM, McDonald, JAK, Marchesi, JR, Yau, TO ORCID: https://orcid.org/0000-0002-3283-0370, Christodoulou, N, Hatziapostolou, M, Pucic-Bakovic, M, Vuckovic, F, Klicek, F, Lauc, G, Xue, N, Dottorini, T, Ambalkar, S, Satav, A, Polytarchou, C, Acharjee, A and Kashyap, RS, 2021. Multiomics profiling reveals signatures of dysmetabolism in urban populations in Central India. Microorganisms, 9 (7), p. 1485. ISSN 2076-2607

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Official URL: https://doi.org/10.3390/microorganisms9071485

Abstract

Background: Non-communicable diseases (NCDs) have become a major cause of morbidity and mortality in India. Perturbation of host–microbiome interactions may be a key mechanism by which lifestyle-related risk factors such as tobacco use, alcohol consumption, and physical inactivity may influence metabolic health. There is an urgent need to identify relevant dysmetabolic traits for predicting risk of metabolic disorders, such as diabetes, among susceptible Asian Indians where NCDs are a growing epidemic.

Methods: Here, we report the first in-depth phenotypic study in which we prospectively enrolled 218 adults from urban and rural areas of Central India and used multiomic profiling to identify relationships between microbial taxa and circulating biomarkers of cardiometabolic risk. Assays included fecal microbiota analysis by 16S ribosomal RNA gene amplicon sequencing, quantification of serum short chain fatty acids by gas chromatography-mass spectrometry, and multiplex assaying of serum diabetic proteins, cytokines, chemokines, and multi-isotype antibodies. Sera was also analysed for N-glycans and immunoglobulin G Fc N-glycopeptides.

Results: Multiple hallmarks of dysmetabolism were identified in urbanites and young overweight adults, the majority of whom did not have a known diagnosis of diabetes. Association analyses revealed several host–microbe and metabolic associations.

Conclusions: Host–microbe and metabolic interactions are differentially shaped by body weight and geographic status in Central Indians. Further exploration of these links may help create a molecular-level map for estimating risk of developing metabolic disorders and designing early interventions.

Item Type:	Journal article
Publication Title:	Microorganisms
Creators:	Monaghan, T.M., Biswas, R.N., Nashine, R.R., Joshi, S.S., Mullish, B.H., Seekatz, A.M., Blanco, J.M., McDonald, J.A.K., Marchesi, J.R., Yau, T.O., Christodoulou, N., Hatziapostolou, M., Pucic-Bakovic, M., Vuckovic, F., Klicek, F., Lauc, G., Xue, N., Dottorini, T., Ambalkar, S., Satav, A., Polytarchou, C., Acharjee, A. and Kashyap, R.S.
Publisher:	MDPI
Date:	12 July 2021
Volume:	9
Number:	7
ISSN:	2076-2607
Identifiers:	Number Type 10.3390/microorganisms9071485 DOI 1654549 Other
Rights:	© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Divisions:	Schools > School of Science and Technology
Record created by:	Jonathan Gallacher
Date Added:	03 Feb 2023 12:09
Last Modified:	03 Feb 2023 12:53
URI:	https://irep.ntu.ac.uk/id/eprint/48159