Evidence map›Paper›PMID 37365190›Full record

ArticleCell death & disease2023

Neutrophil extracellular traps aggravate neuronal endoplasmic reticulum stress and apoptosis via TLR9 after traumatic brain injury.

Liang Mi, Xiaobin Min, Mingming Shi, Liang Liu, Yanfeng Zhang, Yanlin Zhu, Peng Li, Yan Chai, Fanglian Chen, Quanjun Deng and 3 more

Open access · goldAbstract read
In one paragraph

Article in Cell death & disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 2 pooled it
10.4field-weighted citation impact, top 1% of its field
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

52 citing papers in PubMed, 2 syntheses or guidelines pooled it, 63 citations in OpenAlex.

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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

13 authors at 3 institutions in 2 countries.

Liang Mi *Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, P.R. China.
Xiaobin Min *Department of Neurosurgery, Baodi Clinical College, Tianjin Medical University, Baodi, Tianjin, P.R. China.
Mingming Shi *Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, P.R. China. mingmingshi96369@hotmail.com.ORCID 0009-0002-3026-5256
Liang Liu *Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, P.R. China.
Yanfeng ZhangDepartment of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, P.R. China.
Yanlin ZhuDepartment of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, P.R. China.
Peng LiDepartment of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, P.R. China.
Yan ChaiTianjin Neurological Institute, Key Laboratory of Post-Trauma Neuro-Repair and Regeneration in Central Nervous System, Ministry of Education, Tianjin Key Laboratory of Injuries, Variations and Regeneration of Nervous System, Tianjin, P.R. China.
Fanglian ChenTianjin Neurological Institute, Key Laboratory of Post-Trauma Neuro-Repair and Regeneration in Central Nervous System, Ministry of Education, Tianjin Key Laboratory of Injuries, Variations and Regeneration of Nervous System, Tianjin, P.R. China.
Quanjun DengDepartment of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, P.R. China. dqj2177@163.com.ORCID 0000-0002-8718-1857
Shu ZhangTianjin Neurological Institute, Key Laboratory of Post-Trauma Neuro-Repair and Regeneration in Central Nervous System, Ministry of Education, Tianjin Key Laboratory of Injuries, Variations and Regeneration of Nervous System, Tianjin, P.R. China. zhangshu2017@tmu.edu.cn.
Jianning ZhangDepartment of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, P.R. China. jianningzhang2021@163.com.ORCID 0000-0002-7290-0994
Xin ChenDepartment of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, P.R. China. xinchentianjin@163.com.ORCID 0000-0002-1720-1226
Tianjin Medical University General Hospital · CNTianjin University of Technology · CNTianjin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Endoplasmic reticulum (ER) stress and ER stress-mediated apoptosis play an important role during secondary brain damage after traumatic brain injury (TBI). Increased neutrophil extracellular traps (NETs) formation has been demonstrated to be associated with neurological damage after TBI. However, the correlation between ER stress and NETs remains unclear, and the specific function of NETs in neurons has not been defined. In this study, we found that the levels of NETs circulating biomarkers were remarkably elevated in the plasma of TBI patients. We then inhibited NETs formation by peptidylarginine deiminase 4 (PAD4, a critical enzyme for NETs formation) deficiency and discovered that ER stress activation and ER stress-mediated neuronal apoptosis were reduced. The degradation of NETs via DNase I showed similar outcomes. Furthermore, overexpression of PAD4 aggravated neuronal ER stress and ER stress-associated apoptosis, while TLR9 antagonist administration abrogated the damage caused by NETs. In addition to in vivo experiments, in vitro experiments revealed that treatment with a TLR9 antagonist alleviated NETs-induced ER stress and apoptosis in HT22 cells. Collectively, our results indicated that ER stress as well as the accompanying neuronal apoptosis can be ameliorated by disruption of NETs and that suppression of the TLR9-ER stress signaling pathway may contribute to positive outcomes after TBI.

Indexed as

Brain Injuries, TraumaticExtracellular TrapsApoptosisEndoplasmic Reticulum StressHumansNeuronsNeutrophilsToll-Like Receptor 9TLR9 protein, humanToll-Like Receptor 9

Identifiers

PMID37365190
PMCPMC10293297
OpenAlexW4382136560

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.