Evidence map›Paper›PMID 41372998›Full record

ArticleHereditas2025

MiR-143-5p serves as a diagnostic biomarker in patients with sepsis and regulates sepsis-induced inflammation and cardiac dysfunction.

Yaqi Wu, Le Gu, Xu Huang

Abstract read
In one paragraph

Article in Hereditas, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

1 citing paper in PubMed.

  1. 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

3 authors.

Yaqi Wu *Department of Infection Management, Xuzhou Central Hospital, Southeast University, Xuzhou, 221000, China.
Le Gu *Department of Intensive Care Unit, Xuzhou Central Hospital, Southeast University, Xuzhou, 221000, China.
Xu HuangDepartment of Emergency, Xuzhou Central Hospital, Southeast University, No.199, Jiefang South Road, Xuzhou, 221000, China. 17705225137@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND &

objectiveMicroRNAs (miRNAs) offer advantages in stability and therapeutic specificity. This study investigated the diagnostic and therapeutic potential of miR-143-5p in sepsis (SP) and SP-associated cardiac dysfunction (CD). ‌Methods. Quantitative Real-Time polymerase chain reaction (qRT-PCR) quantified serum and cellular miR-143-5p levels. Receiver operator characteristic (ROC) curve evaluated miR-143-5p's diagnostic efficacy. Pearson correlation analysis assessed the association between miR-143-5p and SP. Univariate logistic regression identified CD risk factors, with multivariate logistic analysis including significant variables from univariate analysis. Lipopolysaccharide (LPS)-induced macrophage (THP-1) and cardiomyocyte (AC16) models elucidated miR-143-5p mechanisms in SP, with bioinformatics predicting the potential pathways. ‌Results. MiR-143-5p downregulation demonstrated diagnostic value for SP (AUC: 0.897) and SP-CD (AUC: 0.812). MiR-143-5p expression correlated (P < 0.0001) with white blood cell count (WBC, r = -0.680), C-reactive protein (CRP, r = -0.563), procalcitonin (PCT, r = - 0.693), left ventricular ejection fraction (LVEF, r = 0.640), cardiac troponin I (cTnI, r = -0.599), Acute Physiology And Chronic Health Evaluation II (APACHE II, r = -0.695), and Sequential Organ Failure Assessment (SOFA, P < 0.05) scores. MiR-143-5p served as a risk factor for CD in SP (OR: 0.100). MiR-143-5p overexpression reduced M1 polarization and pro-inflammatory cytokines in LPS-treated THP-1. In AC16 cardiomyocytes, it enhanced viability, suppressed apoptosis, and attenuated inflammation. Bioinformatics analysis indicated miR-143-5p was involved in p53 and MAPK signal pathways regulation. ‌Conclusions. MiR-143-5p downregulation showed diagnostic potential for SP and SP with CD, correlating with disease severity and CD risk. Mechanistically, miR-143-5p overexpression mitigated macrophage and cardiomyocyte injury.

Indexed as

Heart DiseasesInflammationMicroRNAsSepsisAgedBiomarkersFemaleHumansMaleMiddle AgedMyocytes, CardiacROC CurveBiomarkersMicroRNAsMIRN143 microRNA, humanCardiac dysfunctionInflammationMiR-143-5pSepsis

Identifiers

PMID41372998
PMCPMC12801460

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Registered trials

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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.