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急性胰腺炎中标记基因和致病外周中性粒细胞亚型的新见解。

Novel insight on marker genes and pathogenic peripheral neutrophil subtypes in acute pancreatitis.

机构信息

Department of gastroenterology, First Affiliated Hospital, Naval Medical University, Shanghai, China.

Academy of Medical Sciences, Zhengzhou University, Zhengzhou, China.

出版信息

Front Immunol. 2022 Aug 22;13:964622. doi: 10.3389/fimmu.2022.964622. eCollection 2022.

DOI:10.3389/fimmu.2022.964622
PMID:36072587
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9444397/
Abstract

Acute pancreatitis is a common critical and acute gastrointestinal disease worldwide, with an increasing percentage of morbidity. However, the gene expression pattern in peripheral blood has not been fully analyzed. In addition, the mechanism of coronavirus disease 2019 (COVID-19)-induced acute pancreatitis has not been investigated. Here, after bioinformatic analysis with machine-learning methods of the expression data of peripheral blood cells and validation in local patients, two functional gene modules in peripheral blood cells of acute pancreatitis were identified, and S100A6, S100A9, and S100A12 were validated as predictors of severe pancreatitis. Additionally, through a combination analysis of bulk sequencing and single-cell sequencing data of COVID-19 patients, a pivotal subtype of neutrophils with strong activation of the interferon-related pathway was identified as a pivotal peripheral blood cell subtype for COVID-19-induced acute pancreatitis. These results could facilitate the prognostic prediction of acute pancreatitis and research on COVID-19-induced acute pancreatitis.

摘要

急性胰腺炎是一种常见的全球性急危重症消化系统疾病,发病率呈上升趋势。然而,外周血细胞中的基因表达模式尚未被充分分析。此外,新型冠状病毒病(COVID-19)引起的急性胰腺炎的发病机制尚未被研究。在这里,我们通过对细胞外血液表达数据的机器学习方法的生物信息学分析,并在本地患者中进行验证,鉴定出急性胰腺炎外周血细胞中的两个功能基因模块,并验证 S100A6、S100A9 和 S100A12 是重症胰腺炎的预测因子。此外,通过对 COVID-19 患者的批量测序和单细胞测序数据的组合分析,鉴定出一种具有强烈干扰素相关途径激活的关键中性粒细胞亚型,是 COVID-19 引起的急性胰腺炎的关键外周血细胞亚型。这些结果有助于急性胰腺炎的预后预测和 COVID-19 引起的急性胰腺炎的研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/389a/9444397/aa8acfc87100/fimmu-13-964622-g009.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/389a/9444397/0f69f3d24c76/fimmu-13-964622-g007.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/389a/9444397/aa8acfc87100/fimmu-13-964622-g009.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/389a/9444397/2b48fa649d87/fimmu-13-964622-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/389a/9444397/080a59469ab4/fimmu-13-964622-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/389a/9444397/b6297a8b63be/fimmu-13-964622-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/389a/9444397/68b7598905f5/fimmu-13-964622-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/389a/9444397/0f69f3d24c76/fimmu-13-964622-g007.jpg
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