Evidence map›Paper›PMID 42835245›Full record

ArticleIranian journal of medical sciences2026

Integrative Metagenomic Analysis Reveals Human Gut Microbiome-Derived Candidate Non-invasive Biomarkers for Type II Diabetes Mellitus.

Wajeeha Mujahid, Sahar Safdar, Ayesha Aftab, Sania Tabassum, Syeda Marriam Bakhtiar

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Article in Iranian journal of medical sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Wajeeha MujahidDepartment of Bioinformatics and Biosciences, Capital University of Science and Technology, Islamabad, Pakistan.
Sahar SafdarDepartment of Bioinformatics and Biosciences, Capital University of Science and Technology, Islamabad, Pakistan.
Ayesha AftabDepartment of Bioinformatics and Biosciences, Capital University of Science and Technology, Islamabad, Pakistan.
Sania TabassumDepartment of Bioinformatics and Biosciences, Capital University of Science and Technology, Islamabad, Pakistan.
Syeda Marriam BakhtiarDepartment of Bioinformatics and Biosciences, Capital University of Science and Technology, Islamabad, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Type II Diabetes Mellitus (T2DM) is increasingly associated with alterations in the gut microbiome, which influences host metabolism, inflammation, and insulin sensitivity. Metagenomic profiling has emerged as a promising non-invasive strategy for identifying disease-associated microbial signatures. However, distinguishing disease-specific biomarkers from general dysbiosis remains a major challenge. This study aimed to develop an integrative subtractive metagenomic framework to identify candidate disease-specific gut microbial biomarkers. Methods: This Results: Potential microbial biomarkers were identified as Conclusion: The results of this study advance understanding of microbiome-disease crosstalk and form the basis for further

Indexed as

Diabetes Mellitus, Type 2Gastrointestinal MicrobiomeMetagenomicsBacteroidesBiomarkersCase-Control StudiesDysbiosisHumansBiomarkersMetagenomicsMicrobiomeNon-invasive biomarkersTherapeuticsType II diabetes mellitus

Identifiers

PMID42835245
PMCPMC13635452

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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.