Evidence map›Paper›PMID 31891582›Full record

ArticlePloS one2019

Analysis of gut microbiota of obese individuals with type 2 diabetes and healthy individuals.

Aftab Ahmad, Wanwei Yang, Guofang Chen, Muhammad Shafiq, Sundus Javed, Syed Shujaat Ali Zaidi, Ramla Shahid, Chao Liu, Habib Bokhari

Open access · goldAbstract readComparative Study
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 100 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
100citing papers in PubMed, 4 pooled it
8.6field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

100 citing papers in PubMed, 4 syntheses or guidelines pooled it, 190 citations in OpenAlex.

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  19. Gut Microbiota in T2DM Patients with Microvascular Complications: A 16S rRNA Sequencing Study.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025
    Article
  20. Reduced abundance ofFrontiers in pharmacology · 2025
    Article

40 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 2 countries.

Aftab AhmadDepartment of Biosciences, COMSATS University, Chak Shahzad, Islamabad, Pakistan.
Wanwei YangEndocrine and Diabetes Center, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Jiangsu Province Academy of Traditional Chinese Medicine, Nanjing, China.
Guofang ChenEndocrine and Diabetes Center, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Jiangsu Province Academy of Traditional Chinese Medicine, Nanjing, China.
Muhammad ShafiqDepartment of Biosciences, COMSATS University, Chak Shahzad, Islamabad, Pakistan.
Sundus JavedDepartment of Biosciences, COMSATS University, Chak Shahzad, Islamabad, Pakistan.
Syed Shujaat Ali ZaidiDepartment of Biosciences, COMSATS University, Chak Shahzad, Islamabad, Pakistan.
Ramla ShahidDepartment of Biosciences, COMSATS University, Chak Shahzad, Islamabad, Pakistan.
Chao LiuEndocrine and Diabetes Center, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Jiangsu Province Academy of Traditional Chinese Medicine, Nanjing, China.
Habib BokhariDepartment of Biosciences, COMSATS University, Chak Shahzad, Islamabad, Pakistan.ORCID 0000-0002-2171-6062
COMSATS University Islamabad · PKNanjing University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type 2 diabetes mellitus (T2DM) accounts for 90% of diabetes cases worldwide. The majority of T2DM patients are obese. Dysbiosis in the gut microflora is strongly associated with the pathogenesis of obesity and T2DM; however, the microbiome of obese-T2DM individuals in the Pakistani population remains unexplored. The gut microbiota signature of 60 Pakistani adults was studied using 16S rRNA sequencing targeting V3-V4 hypervariable regions. The sequence analysis revealed that bacteria from Firmicutes were predominant along with those from Clostridia and Negativicutes, whereas bacteria from Verrucomicrobia, Bacteroidetes, Proteobacteria, and Elusimicrobia were less abundant among the obese T2DM patients. These data distinctively vary from those in reports on the Indian population. The difference in gut microbiota could presumably be related to the distinct lifestyle and eastern dietary habits (high carbohydrate and fat intake, low fiber intake) and unregulated antibiotic consumption. This is the first study carried out to understand the gut microbiome and its correlation with individual life style of obese T2DM patients in the Pakistani population.

Indexed as

AdultBacteriaCase-Control StudiesDiabetes Mellitus, Type 2DNA, BacterialDNA, RibosomalDysbiosisFecesFemaleGastrointestinal MicrobiomeHealthy LifestyleHumansIndiaMaleMiddle AgedObesityDNA, BacterialDNA, RibosomalRNA, Ribosomal, 16S

Identifiers

PMID31891582
PMCPMC6938335
OpenAlexW2997486622

What OpenQuestion holds

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Registered trials

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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.