Evidence map›Paper›PMID 40089725›Full record

SynthesisBMC immunology2025

LINC02363: a potential biomarker for early diagnosis and treatment of sepsis.

Linghan Leng, Hao Wang, Yingchun Hu, Li Hu

Abstract readMeta-Analysis
In one paragraph

Synthesis in BMC immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. MicroRNAs in sepsis: Advances in diagnosis and prognostic monitoring.World journal of critical care medicine · 2026
    Review
  2. Article
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

4 authors.

Linghan LengDepartment of Intensive Care Unit, Chengdu Fifth People's Hospital, Chengdu, People's Republic of China.
Hao WangSchool of Clinical Medicine, Shandong Second Medical University, Weifang, People's Republic of China.
Yingchun HuDepartment of Emergency Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, People's Republic of China. huyingchun913@swmu.edu.cn.
Li HuDepartment of Emergency Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, People's Republic of China. huli114@swmu.edu.cn.

Funding

Key Clinical Specialty Construction Project of Sichuan Province. Sichuan Provincial Health and Health Committee Science and Technology Project 23LCYJ001
6 · The paper itself

Abstract

backgroundSepsis remains a leading cause of global morbidity and mortality, yet early diagnosis is hindered by the limited specificity and sensitivity of current biomarkers.

aimThe aim of this study was to identify lncRNAs that play a key role in sepsis and provide potential biomarkers for the diagnosis and treatment of sepsis.

methodsTranscriptomic data from sepsis patients were retrieved from the Chinese National Genebank (CNGBdb). Differential expression analysis identified 2,348 LncRNAs and 5,125 mRNAs (|FC|≥2, FDR < 0.05). Weighted gene co-expression network analysis (WGCNA) and meta-analysis were applied to screen core genes. Gene set enrichment analysis (GSEA) explored functional pathways, while single-cell sequencing and qPCR validated cellular localization and expression patterns.

resultsWGCNA identified three key genes: LINC02363 (LncRNA), DYNLT1, and FCGR1B. Survival and meta-analyses revealed strong correlations between these genes and sepsis outcomes. GSEA highlighted LINC02363's involvement in "herpes simplex virus type 1 infection," "tuberculosis," and ribosome pathways. Single-cell sequencing showed FCGR1B's broad distribution across immune cells, while DYNLT1 localized predominantly in macrophages. qPCR confirmed significant upregulation of LINC02363 (p < 0.01), FCGR1B (p < 0.05), and DYNLT1 (p < 0.05) in sepsis patients compared to controls.

conclusionLINC02363 may serve as a new biomarker for the diagnosis and treatment of sepsis.

Indexed as

RNA, Long NoncodingSepsisBiomarkersEarly DiagnosisGene Expression ProfilingGene Regulatory NetworksHumansReceptors, IgGSingle-Cell AnalysisTranscriptomeBiomarkersReceptors, IgGRNA, Long NoncodingLncRNAPrognosisQPCRScRNA-seqSepsis

Identifiers

PMID40089725
PMCPMC11909972

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.