Evidence map›Paper›PMID 41463338›Full record

ArticleBiomolecules2025

Comprehensive Transcriptomic and Proteomic Analysis of Severe Pressure Ulcer Patients Identifies Molecular Signatures Associated with Impaired T Cell Function.

Kanhaiya Singh

Abstract read
In one paragraph

Article in Biomolecules, 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. 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

1 author.

Kanhaiya SinghDepartment of Surgery, McGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, PA 15219, USA.ORCID 0000-0002-4126-9618

Funding

Regulatory Mechanisms Addressing Diabetic VasculopathyR01DK136814 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Kanhaiya Singh · 2023 to 2026
$1.9M
Congressionally Directed Medical Research Programs HT9425-24-1-0131NIDDK NIH HHS DK136814NIDDK NIH HHS R01 DK136814
6 · The paper itself

Abstract

Pressure ulcers (PUs) result from prolonged pressure and shear forces, which cause local skin and soft tissue injury. Elderly patients with pressure injuries face a higher risk of death. Diabetes presents a significant comorbid condition that increases the risk of PU development due to underlying neuropathy, vasculopathy, and impaired wound healing. Recent molecular biology research on PU subjects has identified inappropriate responses to inflammatory stressors as a significant risk factor. Systemic manifestations, such as an increased abundance of inflammatory cells and alterations in inflammatory mediators, have been linked to PU formation. The present study adopted a bioinformatics, multi-omic data-mining approach to understand cellular and molecular dysregulation and identify biomarkers that may guide the development of more effective screening, diagnostic, and therapeutic strategies in the management of severe PU subjects. At the RNA level, differential gene expression indicated T cell dysfunction and impaired T cell communication in severe PU subjects. Protein-based analysis further validated this finding, as T lymphocyte functional readouts, such as Th1 cell response, memory T cell activation, and Th17 cell differentiation, were predicted to be downregulated. Taken together, our results show that T lymphocyte function and communication remain impaired in severe PU and could guide the development of a therapeutic cell-based treatment for regenerative medicine.

Indexed as

Pressure UlcerProteomeProteomicsT-LymphocytesTranscriptomeAgedAged, 80 and overBiomarkersFemaleGene Expression ProfilingHumansMaleMiddle AgedTh17 CellsBiomarkersProteomediabetesinflammationpressure ulcerproteomicsT celltranscriptomics

Identifiers

PMID41463338
PMCPMC12731076

What OpenQuestion holds

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LicenceCC BY
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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.