Evidence map›Paper›PMID 41068182›Full record

ArticleNPJ biofilms and microbiomes2025

Functionally enriched human polymorphisms associate to species in the chronic wound microbiome.

Rebecca A Gabrilska, Khalid Omeir, Jacob Ancira, Clint Miller, Craig D Tipton, Kendra P Rumbaugh, Joseph Wolcott, Ashley Noe, Kumudu Subasinghe, Megan Rowe and 2 more

Abstract read
In one paragraph

Article in NPJ biofilms and microbiomes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Rebecca A GabrilskaDepartment of Surgery, Texas Tech University Health Sciences Center, Lubbock, TX, USA.
Khalid OmeirDepartment of Biological Sciences, Texas Tech University, Lubbock, TX, USA.
Jacob AnciraDepartment of Biological Sciences, Texas Tech University, Lubbock, TX, USA.
Clint MillerSouthwest Regional Wound Care Center, Lubbock, TX, USA.
Craig D TiptonRTL Genomics, MicroGenDX, Lubbock, TX, USA.
Kendra P RumbaughDepartment of Surgery, Texas Tech University Health Sciences Center, Lubbock, TX, USA.
Joseph WolcottSouthwest Regional Wound Care Center, Lubbock, TX, USA.
Ashley NoeDepartment of Biological Sciences, Texas Tech University, Lubbock, TX, USA.
Kumudu SubasingheMicrobiology, Immunology & Genetics, University of North Texas Health Science Center, Fort Worth, TX, USA.
Megan RoweMicrobiology, Immunology & Genetics, University of North Texas Health Science Center, Fort Worth, TX, USA.
Nicole PhillipsMicrobiology, Immunology & Genetics, University of North Texas Health Science Center, Fort Worth, TX, USA.
Caleb D PhillipsDepartment of Biological Sciences, Texas Tech University, Lubbock, TX, USA. caleb.phillips@ttu.edu.

Funding

Patient Genetic Determinants of Chronic Wound Microbiome CompositionR15GM141973 · NIGMS · TEXAS TECH UNIVERSITY · PI PHILLIPS, CALEB DAKOTAH · 2021 to 2021
$421k
NIGMS NIH HHS R15 GM141973NIH HHS R15GM141973-01
6 · The paper itself

Abstract

Chronic wounds are a burden to millions of patients worldwide and impaired wound closure has been shown to be associated with wound microbiota. Recent evidence suggests human genetics may shape differences in composition of wound microbiomes. Here, a microbiome genome-wide association study was used to test effects of human genetics on the relative abundances of bacterial species in chronic wounds. Sixteen species were associated with 193 genetic loci distributed across 25 non-overlapping genomic regions, with per-species heritability estimates ranging up to 20%. Functional analyses on genomic regions and species resulted in overrepresentation of pathways relevant to microbial infection and wound healing. Species associated with host genetics exhibited co-occurrence relationships with common wound pathogens including Staphylococcus aureus. Moreover, the genetic distance among patients was significantly related to differences in their overall wound microbiome composition. Identification of genetic biomarkers reveals predictive risk factors and new mechanistic insight for chronic wounds.

Indexed as

BacteriaMicrobiotaWound InfectionWounds and InjuriesChronic DiseaseFemaleGenome-Wide Association StudyHumansMaleMiddle AgedPolymorphism, Single NucleotideWound Healing

Identifiers

PMID41068182
PMCPMC12511294

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.