Evidence map›Paper›PMID 41255589›Full record

ArticleJournal of inflammation research2025

The Intestinal Immune Network for IgA Production is Involved in the Development and Progression of Sepsis: A Multi-Omics Study.

Yi-Feng Wang, Song Gao, Fei Gao, Mei-Li Wu, Lan Yang, Jia-Yue Zhang, Ya-Nan Wang, Hong-Yang Xu

Abstract read
In one paragraph

Article in Journal of inflammation research, 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

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

8 authors.

Yi-Feng Wang *Department of Critical Care Medicine, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Nanjing Medical University, Wuxi, Jiangsu, People's Republic of China.ORCID 0000-0002-1815-3991
Song Gao *Department of Critical Care Medicine, Xishan People's Hospital of Wuxi City, Wuxi, Jiangsu, People's Republic of China.ORCID 0009-0006-7087-328X
Fei GaoDepartment of Critical Care Medicine, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Nanjing Medical University, Wuxi, Jiangsu, People's Republic of China.
Mei-Li WuCenter of Clinical Research, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Nanjing Medical University, Wuxi, Jiangsu, People's Republic of China.
Lan YangDepartment of Critical Care Medicine, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Nanjing Medical University, Wuxi, Jiangsu, People's Republic of China.ORCID 0009-0008-7837-7349
Jia-Yue ZhangDepartment of Critical Care Medicine, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Nanjing Medical University, Wuxi, Jiangsu, People's Republic of China.ORCID 0009-0008-7191-5263
Ya-Nan WangDepartment of Gastroenterology, Henan Provincial People's Hospital, Zhengzhou, Henan, People's Republic of China.ORCID 0009-0007-1956-9124
Hong-Yang XuDepartment of Critical Care Medicine, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Nanjing Medical University, Wuxi, Jiangsu, People's Republic of China.ORCID 0009-0003-8847-3506

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Intestinal barrier injury plays a significant role in the development and progression of sepsis. However, the underlying mechanisms remain unclear. Methods: The "intestinal immune network for IgA production" pathway (KEGG ID: hsa04672) is closely associated with the intestinal barrier. This study integrated bulk and single-cell RNA sequencing data, a clinical trial, an animal study and Mendelian randomization (MR) analyses to elucidate the role of hsa04672 during sepsis. Results: Enrichment analyses confirmed the relationship between hsa04672 and sepsis. Four machine learning algorithms identified HLA-DPA1 (area under the curve [AUC] = 0.995), ITGB7 (AUC = 0.967), and CXCR4 (AUC = 0.942) as hsa04672-associated diagnostic biomarkers. Gene Set Variation Analysis (GSVA) revealed suppressed activity of hsa04672 in sepsis patients. Two independent methods (GSVA scores and consensus clustering) generated hsa04672-associated sepsis subgroups. Kaplan-Meier analyses subsequently confirmed significant survival differences between these subgroups, indicating a relationship between hsa04672 and sepsis prognosis. Afterwards, univariable Cox, LASSO, and multivariable Cox regression analyses identified ANKRD55, CX3CR1, and GIMAP4 as hsa04672-associated prognostic biomarkers. Based on these prognostic biomarkers, we constructed a nomogram model, whose accuracy and robustness were demonstrated through calibration curves, decision curve analyses, and time-dependent ROC curves. In the animal study, reduced intestinal IgA production was observed in severe sepsis. Single-cell analyses revealed the activities of hsa04672 and the expression patterns of biomarkers within each immune cell type across healthy controls, sepsis survivors, and sepsis nonsurvivors. MR analyses suggested that elevated CXCR4 expression was a risk factor of sepsis (OR = 1.27, 95% CI: 1.02-1.58, P = 0.036), and decreased GIMAP4 expression was a risk factor of 28-day death in sepsis (OR = 0.76, 95% CI: 0.60-0.98, P = 0.032). Conclusion: The "intestinal immune network for IgA production" is deeply involved in the development and progression of sepsis.

Indexed as

biomarkerintestinal immune network for IgA productionmendelian randomizationnomogram modelSepsissingle-cell RNA sequencing

Identifiers

PMID41255589
PMCPMC12621630

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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.