Evidence map›Paper›PMID 41088210›Full record

ArticleBMC medical informatics and decision making2025

The role of four ERS-related key genes in sepsis induced organ dysfunction and the forewarning model construction.

Yuanqun Zhou, Xinming Xiang, Han She, Yue Wu, Xingnan Ouyang, Xiaowei Zhou, Shunxin Yang, Liangming Liu, Tao Li

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In one paragraph

Article in BMC medical informatics and decision making, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Yuanqun ZhouState Key Laboratory of Trauma and Chemical Poisoning,Shock and Transfusion Department, Daping Hospital, Army Medical University, Chongqing, 400042, People's Republic of China.
Xinming XiangState Key Laboratory of Trauma and Chemical Poisoning,Shock and Transfusion Department, Daping Hospital, Army Medical University, Chongqing, 400042, People's Republic of China.
Han SheState Key Laboratory of Trauma and Chemical Poisoning,Shock and Transfusion Department, Daping Hospital, Army Medical University, Chongqing, 400042, People's Republic of China.
Yue WuState Key Laboratory of Trauma and Chemical Poisoning,Shock and Transfusion Department, Daping Hospital, Army Medical University, Chongqing, 400042, People's Republic of China.
Xingnan OuyangState Key Laboratory of Trauma and Chemical Poisoning,Shock and Transfusion Department, Daping Hospital, Army Medical University, Chongqing, 400042, People's Republic of China.
Xiaowei ZhouState Key Laboratory of Trauma and Chemical Poisoning,Shock and Transfusion Department, Daping Hospital, Army Medical University, Chongqing, 400042, People's Republic of China.
Shunxin YangState Key Laboratory of Trauma and Chemical Poisoning,Shock and Transfusion Department, Daping Hospital, Army Medical University, Chongqing, 400042, People's Republic of China.
Liangming LiuState Key Laboratory of Trauma and Chemical Poisoning,Shock and Transfusion Department, Daping Hospital, Army Medical University, Chongqing, 400042, People's Republic of China.
Tao LiState Key Laboratory of Trauma and Chemical Poisoning,Shock and Transfusion Department, Daping Hospital, Army Medical University, Chongqing, 400042, People's Republic of China. lt200132@163.com.

Funding

the Key Program of the National Natural Science Foundation of China No.81830065
6 · The paper itself

Abstract

bakgroundSepsis/septic shock frequently occurred as a lethal complication in the intensive care unit. Endoplasmic reticulum stress (ERS) leading to the disturbance of cellular proteostasis played an important role in the sepsis-induced multiple organ dysfunction. Previous studies showed that several ERS molecule were involved in. It is not clear which ERS molecule could be competent as prognostic indicators of sepsis.

methodsTranscriptomic datasets containing gene expression profiles of sepsis patients and healthy controls were downloaded from the GEO database. Consensus clustering was performed to identify sepsis molecular subtypes associated with ERS. An integrated machine learning approach was conducted to screen potential prognostic markers for sepsis.

resultsThe overactivated ERS-related sepsis subgroup were identified according to higher APACHE II scores and poor prognosis. Further molecular characterization and immune function analysis of this subgroup revealed that overactivated ERS-related sepsis was linked to excessive neutrophil extracellular trap (NET) formation, inflammatory response and pronounced immunosuppression. AHSP, FIS1, REXO2 and SYF2 were identified as key prognostic markers for this sepsis subtype. Their expressions following sepsis and their role in the severity of sepsis were validated by in vivo experiments. Furthermore, a prognostic risk model with the four genes was established as an independent and superior prognostic indicator, outperforming APACHE IV score and cardiovascular insufficiency in predicting outcome for septic patients.

conclusionIn summary, four ERS-related genes play an important role in sepsis-induced organ dysfunction, and the ERS-related prognostic model shows great potential as a major forewarning model.

Indexed as

Endoplasmic Reticulum StressMultiple Organ FailureSepsisTranscriptomeAnimalsHumansMachine LearningPrognosisEndoplasmic reticulum stressMachine learningRisk modelSepsis

Identifiers

PMID41088210
PMCPMC12523029

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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.