Evidence map›Paper›PMID 40396530›Full record

ArticleThe clinical respiratory journal2025

LncRNA HOXA-AS2 Can Predict the Risk of Acute Respiratory Distress Syndrome and 28-Day Mortality in Patients With Sepsis.

Youhong Quan, Song Gao

Abstract read
In one paragraph

Article in The clinical respiratory journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
–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

4 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Mechanisms ofFood science & nutrition · 2026
    Article
  4. Review
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

2 authors.

Youhong QuanIntensive Care Unit, Wuxi Branch of Zhongda Hospital Southeast University, Wuxi, China.
Song GaoIntensive Care Unit, Wuxi Branch of Zhongda Hospital Southeast University, Wuxi, China.ORCID https://orcid.org/0009-0006-8915-3995

Funding

Wuxi Double Hundred Talents Project Topic HB2023118
6 · The paper itself

Abstract

objectiveThis study aimed to explore the diagnostic and predictive value of lncRNA HOXA-AS2 for acute respiratory distress syndrome (ARDS) and 28-day mortality in sepsis patients.

methodsThe levels of HOXA-AS2 in sepsis and ARDS patients were detected by real-time quantitative reverse transcription PCR (RT-qPCR). The receiver operating curve (ROC) curve was used to evaluate the diagnostic value of HOXA-AS2 for sepsis and ARDS. The K-M curve was used to evaluate the effect of HOXA-AS2 on the prognosis. Logistic regression analysis and COX regression analysis were used to explore the risk factors influencing ARDS and death. Additionally, an ARDS cell model was constructed to explore the effects of HOXA-AS2 on cell viability, inflammation, and endothelial glycocalyx.

resultsHOXA-AS2 decreased in sepsis patients who developed ARDS and died. This molecule can not only serve as a diagnostic marker for sepsis but also act as a risk factor to predict the risk of ARDS and death within 28 days in patients with sepsis. Sepsis patients with low levels of HOXA-AS2 are more prone to ARDS and death. In cells attacked by lipopolysaccharide (LPS), overexpression of HOXA-AS2 inhibited apoptosis, inflammation, and the degradation of endothelial glycocalyx.

conclusionIn sepsis patients, HOXA-AS2 has the potential to serve as a predictive marker for ARDS and 28-day mortality. This molecule may delay the progression of ARDS by inhibiting inflammation and the degradation of the endothelial glycocalyx.

Indexed as

Respiratory Distress SyndromeRNA, Long NoncodingSepsisAgedApoptosisBiomarkersFemaleHumansMaleMiddle AgedPredictive Value of TestsPrognosisRisk FactorsROC CurveBiomarkersRNA, Long NoncodingARDSdiagnosisHOXA‐AS2prognosissepsis

Identifiers

PMID40396530
PMCPMC12093249

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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.