Evidence map›Paper›PMID 38501424›Full record

ArticleNan fang yi ke da xue xue bao = Journal of Southern Medical University2024

[Tea polyphenols ameliorates acute lung injury in septic mice by inhibiting NLRP3 inflammasomes].

X Ling, W Xu, G Pang, X Hong, F Liu, Y Li

Abstract readEnglish Abstract
In one paragraph

Article in Nan fang yi ke da xue xue bao = Journal of Southern Medical University, 2024. 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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0cells of the map it votes in
0citing papers in PubMed
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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

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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

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0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 2 institutions in 1 country.

X LingDepartment of Health Management, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China.
W XuOutpatient Department, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China.
G PangDepartment of Health Management, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China.
X HongDepartment of Health Management, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China.
F LiuDepartment of Health Management, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China.
Y LiDepartment of Gastroenterology, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China.
Southern Medical University · CNNanfang Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the mechanism of tea polyphenols (TP) for regulating NLRP3 inflammasomes and alleviating acute lung injury in septic mice.

methodsSixty C57BL/6 mice were randomly assigned into sham-operated, cecal ligation and puncture (CLP) and CLP +TP treatment groups, and survival of the mice was recorded after modeling in each group. The lung wet/dry weight ratio and myeloperoxidase (MPO) activity were determined, and lung injury of the mice was evaluated using HE staining and acute lung injury score. The expressions of IL-1β, TNF-α, IL-6, NLRP3, caspase-1 p10, ASC, MPO, and caspase-8 in the lung tissue were detected using ELISA, Western blotting, or immunohistochemical staining. MDA and H

resultsThe postoperative mortality rate at 72 h, lung wet/dry weight ratio, MPO level and acute lung injury scores were significantly lower in CLP+TP group than in CLP group (

conclusionTP inhibits NLRP3 inflammasome-associated inflammation to alleviate CLP-induced acute lung injury in mice through a regulatory mechanism that inhibits NOX4 expression and reduces oxidative stress in the lung tissue.

Indexed as

Acute Lung InjurySepsisAnimalsHydrogen PeroxideInflammasomesLungMiceMice, Inbred C57BLNLR Family, Pyrin Domain-Containing 3 ProteinTeaHydrogen PeroxideInflammasomesNLR Family, Pyrin Domain-Containing 3 ProteinTeaacute lung injuryNLRP3 inflammasomesoxidative stresssepsistea polyphenols

Identifiers

PMID38501424
PMCPMC10954520
OpenAlexW4394758310

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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.