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ArticleMolecular biology reports2026

Comparative gut microbiota profiling of obese and normal-weight indian adults using 16S rRNA sequencing.

Ranjeet Kumar Vishwakarma, Priyanka Gautam, Minakshi Sahu, Gopal Nath, Bhupendra Singh Yadav

Abstract readComparative Study
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Article in Molecular biology reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Ranjeet Kumar VishwakarmaDepartment of Physiology, Faculty of Modern Medicine, Institute of Medical Sciences, Banaras Hindu University, Varanasi, 221005, Uttar Pradesh, India.ORCID http://orcid.org/0009-0001-8508-2740
Priyanka GautamDepartment of Neurology, Faculty of Modern Medicine, Institute of Medical Sciences, Banaras Hindu University, Varanasi, 221005, Uttar Pradesh, India.ORCID http://orcid.org/0000-0002-4669-1527
Minakshi SahuDepartment of Microbiology, Faculty of Modern Medicine, Institute of Medical Sciences, Banaras Hindu University, Varanasi, 221005, Uttar Pradesh, India.ORCID http://orcid.org/0009-0002-4074-0225
Gopal NathDepartment of Microbiology, Faculty of Modern Medicine, Institute of Medical Sciences, Banaras Hindu University, Varanasi, 221005, Uttar Pradesh, India. gopalnath@gmail.com.ORCID http://orcid.org/0000-0003-2722-1308
Bhupendra Singh YadavDepartment of Physiology, Faculty of Modern Medicine, Institute of Medical Sciences, Banaras Hindu University, Varanasi, 221005, Uttar Pradesh, India. bsyadav@bhu.ac.in.ORCID http://orcid.org/0000-0003-4288-1080

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObesity rates are rising globally, placing a significant strain on individuals, society, and economies. The gut microbiota (GM) plays a pivotal role in the development of obesity. Many studies have identified differences in GM composition between obese and normal-weight people worldwide. However, there is limited data on the GM profiles of obese and control Indian individuals.

methodsFecal samples from 20 participants (10 obese, 10 control) underwent 16 S rRNA gene sequencing. Anthropometric analysis confirmed significant differences in weight and BMI, with no significant variance in age or height. Taxonomic profiling and diversity indices (Chao1, Shannon, Simpson) were evaluated using the NCBI database.

resultsSequencing identified 1,359 Operational Taxonomic Units. The obese cohort exhibited an elevated Firmicutes-to-Bacteroidetes (F/B) ratio, with Firmicutes increasing to 53.78% and Bacteroidetes decreasing to 25.54%. A significant reduction in Fusobacteria was observed in the Ob group (p = 0.034). Seven species were nominally enriched in obese subjects: Bifidobacterium catenulatum (p = 0.031), Anaerostipes hadrus (p = 0.014), Eggerthella lenta(p = 0.032), Bifidobacterium bifidum (p = 0.037), Clostridium butyricum(p = 0.012), Phascolarctobacterium sp.(p = 0.046), and Alistipes onderdonkii(p = 0.033). Rarefaction curves showed higher species richness in the control group, whereas PCA plots indicated greater community similarity (lower beta diversity) in the obese group.

conclusionObesity is associated with distinct microbial dysbiosis, characterized by a significant loss of Fusobacteria and an enrichment of SCFA-producing species. These specific taxonomic shifts, rather than broad diversity indices, provide a more sensitive signature for metabolic changes associated with obesity, supporting the energy harvest hypothesis.

Indexed as

Gastrointestinal MicrobiomeObesityRNA, Ribosomal, 16SAdultBacillotaBacteriaBacteroidetesBody Mass IndexFecesFemaleHumansIndiaMaleMiddle AgedPhylogenyRNA, Ribosomal, 16S16S rRNA gene sequencingBacteroidetesBody Mass IndexFirmicutesFusobacteriaGut microbiotaObesity

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.