Evidence map›Paper›PMID 39372399›Full record

ArticleFrontiers in immunology2024

Altered immune cell in human severe acute pancreatitis revealed by single-cell RNA sequencing.

Zheyi Wu, Shijie Wang, Zhiheng Wu, Junjie Tao, Lei Li, Chuanming Zheng, Zhipeng Xu, Zhaohui Du, Chengpu Zhao, Pengzhen Liang and 2 more

Abstract read
In one paragraph

Article in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
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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

12 authors.

Zheyi Wu *Department of Emergency Surgery, The First Affiliated Hospital of Bengbu Medical College, Bengbu, China.
Shijie Wang *Department of Emergency Surgery, The First Affiliated Hospital of Bengbu Medical College, Bengbu, China.
Zhiheng Wu *Department of General Surgery, Huangshan City People's Hospital, Huangshan, China.
Junjie TaoDepartment of Emergency Surgery, The First Affiliated Hospital of Bengbu Medical College, Bengbu, China.
Lei LiDepartment of Emergency Surgery, The First Affiliated Hospital of Bengbu Medical College, Bengbu, China.
Chuanming ZhengDepartment of Emergency Surgery, The First Affiliated Hospital of Bengbu Medical College, Bengbu, China.
Zhipeng XuDepartment of Emergency Surgery, The First Affiliated Hospital of Bengbu Medical College, Bengbu, China.
Zhaohui DuDepartment of Emergency Surgery, The First Affiliated Hospital of Bengbu Medical College, Bengbu, China.
Chengpu ZhaoDepartment of Emergency Surgery, The First Affiliated Hospital of Bengbu Medical College, Bengbu, China.
Pengzhen LiangDepartment of Emergency Surgery, The First Affiliated Hospital of Bengbu Medical College, Bengbu, China.
Aman XuDepartment of Gastrointestinal Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Zhenjie WangDepartment of Emergency Surgery, The First Affiliated Hospital of Bengbu Medical College, Bengbu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Severe acute pancreatitis (SAP) is characterized by inflammation, with inflammatory immune cells playing a pivotal role in disease progression. This study aims to understand variations in specific immune cell subtypes in SAP, uncover their mechanisms of action, and identify potential biological markers for predicting Acute Pancreatitis (AP) severity. Methods: We collected peripheral blood from 7 untreated SAP patients and employed single-cell RNA sequencing for the first time to construct a transcriptome atlas of peripheral blood mononuclear cells (PBMCs) in SAP. Integrating SAP transcriptomic data with 6 healthy controls from the GEO database facilitated the analysis of immune cell roles in SAP. We obtained comprehensive transcriptomic datasets from AP samples in the GEO database and identified potential biomarkers associated with AP severity using the "Scissor" tool in single-cell transcriptomic data. Results: This study presents the inaugural construction of a peripheral blood single-cell atlas for SAP patients, identifying 20 cell subtypes. Notably, there was a significant decrease in effector T cell subsets and a noteworthy increase in monocytes compared to healthy controls. Moreover, we identified a novel monocyte subpopulation expressing high levels of Conclusion: This study reveals monocytes' crucial role in SAP initiation and progression, characterized by distinct pro-inflammatory features intricately linked to AP severity. A monocyte subpopulation with elevated

Indexed as

MonocytesPancreatitisSingle-Cell AnalysisAdultBiomarkersChemokine CCL3FemaleGene Expression ProfilingHumansLeukocytes, MononuclearMaleMiddle AgedSequence Analysis, RNASeverity of Illness IndexTranscriptomeBiomarkersCCL3 protein, humanChemokine CCL3inflammatorymonocytessevere acute pancreatitissingle cell RNA-sequencingtranscriptomic analyses

Identifiers

PMID39372399
PMCPMC11449708

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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.