Revealing Prdx4 as a potential diagnostic and therapeutic target for acute pancreatitis based on machine learning analysis
Zhonghua Lu, Yan Tang, Ruxue Qin, Ziyu Han, Hu Chen, Lijun Cao, Pinjie Zhang, Xiang Yang, Weili Yu, Na Cheng, Yun Sun

TL;DR
This study identifies Prdx4 as a potential diagnostic and treatment target for acute pancreatitis using machine learning and immune cell analysis.
Contribution
The study introduces Prdx4 as a novel hub gene and potential therapeutic target for acute pancreatitis.
Findings
Prdx4 was identified as a key biomarker associated with immune cell infiltration in acute pancreatitis.
Recombinant Prdx4 treatment reduced pancreatic tissue damage in a mouse model of acute pancreatitis.
Prdx4 expression was significantly increased in the pancreatic tissue of AP mice.
Abstract
Acute pancreatitis (AP) is a common systemic inflammatory disease resulting from the activation of trypsinogen by various incentives in ICU. The annual incidence rate is approximately 30 out of 100,000. Some patients may progress to severe acute pancreatitis, with a mortality rate of up to 40%. Therefore, the goal of this article is to explore the key genes for effective diagnosis and treatment of AP. The analysis data for this study were merged from two GEO datasets. 1357 DEGs were used for functional enrichment and cMAP analysis, aiming to reveal the pathogenic genes and potential mechanisms of AP, as well as potential drugs for treating AP. Importantly, the study used LASSO and SVM-RFE machine learning to screen the most likely AP occurrence biomarker for Prdx4 among numerous candidate genes. A receiver operating characteristic of Prdx4 was used to estimate the incidence of AP. The…
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Taxonomy
TopicsPancreatitis Pathology and Treatment · Diabetes and associated disorders · Biomarkers in Disease Mechanisms
