Evidence map›Paper›PMID 41943168›Full record

ArticleHereditas2026

Serum LINC01127 serves as a diagnostic biomarker for sepsis and its predictive value for clinical outcomes.

Congcong Li, Xiao Gui, Haiyuan Zhu, Jinhui Wang, Yu Xie, Lilin Wang, Yongyang Tian, Shun Li

Abstract read
In one paragraph

Article in Hereditas, 2026. 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

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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.

Congcong LiDepartment of Critical Care Medicine, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, 310016, China.
Xiao GuiDepartment of Critical Care Medicine, University-Town Hospital of Chongqing Medical University, Chongqing, 401331, China.
Haiyuan ZhuDepartment of Critical Care Medicine, University-Town Hospital of Chongqing Medical University, Chongqing, 401331, China.
Jinhui WangDepartment of Critical Care Medicine, University-Town Hospital of Chongqing Medical University, Chongqing, 401331, China.
Yu XieDepartment of Respiratory and Critical Care Medicine, University-Town Hospital of Chongqing Medical University, Chongqing, 401331, China.
Lilin WangDepartment of Critical Care Medicine, University-Town Hospital of Chongqing Medical University, Chongqing, 401331, China.
Yongyang TianDepartment of Critical Care Medicine, University-Town Hospital of Chongqing Medical University, Chongqing, 401331, China.
Shun LiDepartment of Critical Care Medicine, The Affiliated Hospital of Xuzhou Medical University, No.99, Huaihai Road, Xuzhou, 221000, China. lishun83xz@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aims to investigate the role of LINC01127 in sepsis and evaluate its potential clinical value.

methodsThis study included 102 sepsis patients and 102 controls matched for age and gender. Serum levels of LINC01127 and miR-34b-5p were measured using quantitative real-time PCR (RT-qPCR). Receiver operating characteristic (ROC) curves were constructed to assess the diagnostic efficacy of LINC01127 for sepsis, while Kaplan-Meier curves evaluated its prognostic significance during 28-day follow-up. Lipopolysaccharide (LPS)-induced THP-1 cells were used to simulate an in vitro sepsis model. Enzyme-linked immunosorbent assay (ELISA) measured proinflammatory factor levels, and flow cytometry assessed apoptosis.

resultsSerum LINC01127 exhibited downregulation in sepsis-affected individuals, while miR-34b-5p was upregulated. ROC curve analysis demonstrated that LINC01127 possesses good diagnostic value for sepsis. Kaplan-Meier analysis showed that low LINC01127 levels were associated with poorer prognosis during the 28-day follow-up. Bioinformatics analysis successfully predicted a binding site for miR-34b-5p on LINC01127, and dual-luciferase reporter (DLR) and RNA immunoprecipitation (RIP) assays confirmed their target relationship. Cell experiments demonstrated that upregulating LINC01127 significantly reduced the apoptosis and inflammation triggered by LPS, while increasing miR-34b-5p expression markedly reversed these effects.

conclusionLINC01127 may serve as a promising biomarker for sepsis, alleviating apoptosis and inflammatory responses through targeting miR-34b-5p. This offers novel insights into sepsis diagnosis and treatment.

Indexed as

BiomarkersRNA, Long NoncodingSepsisApoptosisCase-Control StudiesFemaleHumansKaplan-Meier EstimateMaleMicroRNAsMiddle AgedPrognosisROC CurveBiomarkersMicroRNAsMIRN34 microRNA, humanRNA, Long NoncodingDiagnosisLINC01127miR-34b-5pPrognosisSepsis

Identifiers

PMID41943168
PMCPMC13182082

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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.