Evidence map›Paper›PMID 38989182›Full record

ArticleAnnals of medicine and surgery (2012)2024

Prediction of immune molecules activity during burn wound healing among elderly patients: in-silico analyses: experimental research.

Mohammad Reza Zabihi, Mohammad Akhoondian, Pegah Tamimi, Aliasghar Ghaderi, Seyed Amirhossein Mazhari, Bahar Farhadi, Samad Karkhah, Pooyan Ghorbani Vajargah, Mohammadreza Mobayen, Narges Norouzkhani and 1 more

Abstract read
In one paragraph

Article in Annals of medicine and surgery (2012), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

11 authors.

Mohammad Reza ZabihiDepartment of Immunology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Mohammad AkhoondianDepartment of Physiology, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran.
Pegah TamimiCenter for Research and Training in Skin Diseases and Leprosy, Tehran University of Medical Sciences, Tehran, Iran.
Aliasghar GhaderiCenter for Research and Training in Skin Diseases and Leprosy, Tehran University of Medical Sciences, Tehran, Iran.
Seyed Amirhossein MazhariStudent Research Committee, Azerbaijan Medical University, Baku, Azerbaijan.
Bahar FarhadiSchool of Medicine, Islamic Azad University, Mashhad Branch, Mashhad, Iran.
Samad KarkhahBurn and Regenerative Medicine Research Center, Guilan University of Medical Sciences, Rasht, Iran.
Pooyan Ghorbani VajargahBurn and Regenerative Medicine Research Center, Guilan University of Medical Sciences, Rasht, Iran.
Mohammadreza MobayenBurn and Regenerative Medicine Research Center, Guilan University of Medical Sciences, Rasht, Iran.
Narges NorouzkhaniDepartment of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Ramyar FarzanDepartment of Plastic & Reconstructive Surgery, School of Medicine, Guilan University of Medical Sciences, Rasht, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Burn injuries lead to dysregulation of immune molecules, impacting cellular and humoral immune pathways. This study aims to determine the prediction of immune molecule activity during burn wound healing among elderly patients. Methods: The current study utilized the Gene Expression Omnibus (GEO) database to extract the proper gene set. Also, the literature review was conducted in the present study to find immune signatures. The study used the "enrich r" website to identify the biological functions of extracted genes. The critical gene modules related to mortality were identified using the weighted gene co-expression network analysis (WGCNA) R package. Results: The appreciated GSE was extracted. According to the data, the most upregulated signatures were related to natural killer (NK) cells, and the most downregulated signatures were associated with M1 macrophages. Also, the results of WGCNA have shown that the most related gene modules ( Conclusion: The study identified significant changes in macrophage and NK cell expression patterns post-burn injury, linking them to potential improvements in clinical outcomes and wound healing. The gene B3GNT5, associated with mortality, was highlighted as a key marker for prognostic evaluation.

Indexed as

burnsimmune molecules activitywound healingwoundswounds and injuries

Identifiers

PMID38989182
PMCPMC11230785

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