Evidence map›Paper›PMID 41743660›Full record

ArticleJournal of inflammation research2026

Comprehensive Analysis of Immunomodulatory-Related Genes Reveals MAPK14-Associated Myeloid-Derived Suppressor Cells Infiltration in Pediatric Sepsis.

Jia Shi, Jianze Jiang, Jin Ye, Wei Dai

Abstract read
In one paragraph

Article in Journal of inflammation research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Jia ShiDepartment of Pediatrics, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200050, People's Republic of China.
Jianze JiangDepartment of Clinical Medicine, Shangrao Key Laboratory of Acute and Critical Care Medicine, Jiangxi Medical College, Shangrao, Jiangxi Province, 334000, People's Republic of China.ORCID 0009-0002-5750-5205
Jin YeDepartment of Clinical Medicine, Shangrao Key Laboratory of Acute and Critical Care Medicine, Jiangxi Medical College, Shangrao, Jiangxi Province, 334000, People's Republic of China.ORCID 0009-0005-3459-0007
Wei DaiDepartment of Clinical Medicine, Shangrao Key Laboratory of Acute and Critical Care Medicine, Jiangxi Medical College, Shangrao, Jiangxi Province, 334000, People's Republic of China.ORCID 0009-0001-2744-4838

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Immune dysregulation is central to the pathogenesis of sepsis, yet the underlying immunomodulatory mechanisms in pediatric sepsis remain insufficiently defined. This study aimed to elucidate key immune-related gene signatures and cellular features associated with pediatric sepsis. Methods: Integrated bioinformatic analyses were applied to identify immunomodulatory-related differentially expressed genes (IRDEGs). Immune modulation was further characterized by computing immunomodulatory scores (IMSs) using single-sample gene set enrichment analysis (ssGSEA), followed by subgroup stratification and immune cell infiltration analysis. Results: Five hub IRDEGs-MAPK14, S100A9, HP, SERPINB1, and SIGLEC5-were identified. Among these, MAPK14 exhibited a strong association with myeloid-derived suppressor cells (MDSCs), which were significantly enriched in patients with high IMSs. Conclusion: These findings reveal novel immunomodulatory axes in pediatric sepsis, emphasizing the role of MAPK14 and MDSCs. This work provides potential biomarkers and therapeutic targets for improving the clinical management of pediatric sepsis.

Indexed as

immunomodulationleast absolute shrinkage and selection operatormachine learningmyeloid-derived suppressor cellspediatric sepsis

Identifiers

PMID41743660
PMCPMC12931142

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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.