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Multiomics Profiling Reveals Signatures of Dysmetabolism in Urban Populations in Central India

Monaghan, Tanya M.; Biswas, Rima N.; Nashine, Rupam R.; Joshi, Samidha S.; Mullish, Benjamin H.; Seekatz, Anna M.; Blanco, Jesus Miguens; McDonald, Julie A. K.; Marchesi, Julian R.; Yau, Tung on; Christodoulou, Niki; Hatziapostolou, Maria; Pucic-Bakovic, Maja; Vuckovic, Frano; Klicek, Filip; Lauc, Gordan; Xue, Ning; Dottorini, Tania; Ambalkar, Shrikant; Satav, Ashish; Polytarchou, Christos; Acharjee, Animesh; Kashyap, Rajpal Singh

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Authors

TANYA MONAGHAN Tanya.Monaghan@nottingham.ac.uk
Clinical Associate Professor in Luminal Gastroenterology

Rima N. Biswas

Rupam R. Nashine

Samidha S. Joshi

Benjamin H. Mullish

Anna M. Seekatz

Jesus Miguens Blanco

Julie A. K. McDonald

Julian R. Marchesi

Tung on Yau

Niki Christodoulou

Maria Hatziapostolou

Maja Pucic-Bakovic

Frano Vuckovic

Filip Klicek

Gordan Lauc

Ning Xue

Shrikant Ambalkar

Ashish Satav

Christos Polytarchou

Animesh Acharjee

Rajpal Singh Kashyap



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

Citation

Monaghan, T. M., Biswas, R. N., Nashine, R. R., Joshi, S. S., Mullish, B. H., Seekatz, A. M., …Kashyap, R. S. (2021). Multiomics Profiling Reveals Signatures of Dysmetabolism in Urban Populations in Central India. Microorganisms, 9(7), Article 1485. https://doi.org/10.3390/microorganisms9071485

Journal Article Type Article
Acceptance Date Jul 7, 2021
Online Publication Date Jul 12, 2021
Publication Date Jul 12, 2021
Deposit Date Aug 13, 2021
Publicly Available Date Aug 16, 2021
Journal Microorganisms
Electronic ISSN 2076-2607
Publisher MDPI
Peer Reviewed Peer Reviewed
Volume 9
Issue 7
Article Number 1485
DOI https://doi.org/10.3390/microorganisms9071485
Keywords Virology; Microbiology (medical); Microbiology
Public URL https://nottingham-repository.worktribe.com/output/6015286
Publisher URL https://www.mdpi.com/2076-2607/9/7/1485

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