Evidence map›Paper›PMID 39170019›Full record

ArticleSichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition2024

[Mechanism of Extracellular Histone-Induced Endothelial Dysfunction Leading to Sepsis-Induced Acute Respiratory Distress Syndrome].

Tinghang Yang, Yupei Li, Baihai Su

Abstract readEnglish Abstract
In one paragraph

Article in Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition, 2024. 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. 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

3 authors.

Tinghang Yang/ ( 610041) Department of Nephrology/Kidney Research Institute, West China Hospital, Sichuan University, Chengdu 610041, China.
Yupei Li/ ( 610041) Department of Nephrology/Kidney Research Institute, West China Hospital, Sichuan University, Chengdu 610041, China.
Baihai Su/ ( 610041) Department of Nephrology/Kidney Research Institute, West China Hospital, Sichuan University, Chengdu 610041, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Sepsis-induced acute respiratory distress syndrome (ARDS) is an independent risk factor for mortality in critically ill septic patients. However, effective therapeutic targets are still unavailable due to the lack of understanding of its unclear pathogenesis. With increasing understanding in the roles of circulating histones and endothelial dysfunction in sepsis, we aimed to investigate the mechanism of histone-induced endothelial dysfunction leading to sepsis-induced ARDS and to provide experimental support for histone-targeted treatment of sepsis-induced ARDS. Methods: First of all, Results: The results of the Conclusion: By binding to TLR-4, histone decreases VE-cadherin expression on the surface of vascular endothelial cells, disrupts the integrity of intercellular adherens junctions, and triggers pathological damage to lung tissue. Using TLR-4 inhibitors can prevent sepsis-induced ARDS in histone-induced sepsis.

Indexed as

ApoptosisHistonesHuman Umbilical Vein Endothelial CellsMice, Inbred C57BLRespiratory Distress SyndromeSepsisToll-Like Receptor 4AnimalsAntigens, CDCadherin 5CadherinsHumansInterleukin-6MaleMiceSulfonamidesAntigens, CDCadherin 5Cadherinsethyl 6-(N-(2-chloro-4-fluorophenyl)sulfamoyl)cyclohex-1-ene-1-carboxylateHistonesInterleukin-6SulfonamidesToll-Like Receptor 4Tumor Necrosis Factor-alphaAcute respiratory distress syndromeEndothelial dysfunctionExtracellular histoneSepsisToll-like receptor 4

Identifiers

PMID39170019
PMCPMC11334276

What OpenQuestion holds

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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.