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

Microorganisms

Rupam R. Nashine¹  Rima N. Biswas¹  Samidha S. Joshi¹  Rajpal Singh Kashyap¹  Anna M. Seekatz²  Christos Polytarchou³  Maria Hatziapostolou³  Tung on Yau³  Niki Christodoulou³  Shrikant Ambalkar⁴  Jesus Miguens Blanco⁵  Benjamin H. Mullish⁵  Julian R. Marchesi⁵  Julie A. K. McDonald⁵  Filip Klicek⁶  Frano Vuckovic⁶  Gordan Lauc⁶  Maja Pucic-Bakovic⁶  Animesh Acharjee⁷  Ashish Satav⁸  Tanya M. Monaghan⁹  Tania Dottorini^1,10  Ning Xue^1,10 

[1] Biochemistry Research Laboratory, Dr. G.M. Taori Central India Institute of Medical Sciences, Nagpur 440010, India;Department of Biological Sciences, Clemson University, Clemson, SC 29631, USA;Department of Biosciences, John van Geest Cancer Research Centre, Centre for Health Aging and Understanding Disease, School of Science and Technology, Nottingham Trent University, Nottingham NG7 2UH, UK;Department of Microbiology and Infection, King’s Mill Hospital, Sherwood Forest Hospitals NHS Trust, Sutton in Ashfield NG17 4JL, UK;Division of Digestive Diseases, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London SW7 2AZ, UK;Glycoscience Research Laboratory, Genos Ltd., Borongajska cesta 83H, 10000 Zagreb, Croatia;Institute of Cancer and Genomic Sciences, College of Medical and Dental Sciences, University of Birmingham, Birmingham B15 2TT, UK;Mahatma Gandhi Tribal Hospital, MAHAN Trust Melghat, Amravati 605006, India;NIHR Nottingham Biomedical Research Centre, University of Nottingham, Nottingham NG7 2UH, UK;School of Veterinary Medicine and Science, University of Nottingham, Nottingham NG7 2UH, UK;

关键词: geography;    host–microbe interactions;    glycome;    dysmetabolism;    multiomics;    diabetes mellitus;   

DOI  :  10.3390/microorganisms9071485

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown