Evidence map›Paper›PMID 40034669›Full record

ArticlePeerJ2025

Skin microbiota variation in Indian families.

Renuka Potbhare, Ameeta RaviKumar, Eveliina Munukka, Leo Lahti, Richa Ashma

Abstract read
In one paragraph

Article in PeerJ, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Article
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

5 authors.

Renuka PotbhareDepartment of Zoology, Savitribai Phule Pune University, Pune, Maharashtra, India.ORCID 0000-0003-3541-8151
Ameeta RaviKumarInstitute of Bioinformatics and Biotechnology, Savitribai Phule Pune University, Pune, Maharashtra, India.ORCID 0000-0002-7088-0416
Eveliina MunukkaTurku Clinical Microbiome Bank, Department of Clinical Microbiology, Turku University Hospital, Turku, Finland.
Leo LahtiDepartment of Computing, Faculty of Technology, University of Turku, Turku, Finland.ORCID 0000-0001-5537-637X
Richa AshmaDepartment of Zoology, Savitribai Phule Pune University, Pune, Maharashtra, India.ORCID 0000-0002-0099-9497

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In India, joint families often encompass members spanning multiple generations cohabiting in the same household, thereby sharing the same ethnicity, genetics, dietary habits, lifestyles, and other living conditions. Such an extended family provides a unique opportunity to evaluate the effect of genetics and other confounding factors like geographical location, diet and age on the skin microbiota within and between families across three generations. Methods: The present study involved seventy-two individuals from fifteen families from two geographical regions of Maharashtra, India. The 16S rRNA sequencing of V3-V4 regions was performed and the generated taxonomic profiles were used for downstream analysis. Results: Our study highlights a significant difference in community composition (beta diversity) between families (PERMANOVA; Conclusion: This study underscores the diversity and commonalities in skin microbiota composition within and between families. Our result suggests that geographical location is significantly associated with the genus composition of skin microbiota, which is quantitatively unique for a family and likely explained by co-habitation.

Indexed as

MicrobiotaSkinAdultChildFamilyFemaleHumansIndiaMaleMiddle AgedRNA, Ribosomal, 16SSkin MicrobiomeStaphylococcusYoung AdultRNA, Ribosomal, 16S16S rRNA sequencingAlpha diversityBeta diversityIndian familyParent-child skin microbiotaSkin microbiota

Identifiers

PMID40034669
PMCPMC11874944

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.