Evidence map›Paper›PMID 37528888›Full record

ArticleOpen life sciences2023

TAK-242, a toll-like receptor 4 antagonist, against brain injury by alleviates autophagy and inflammation in rats.

Yan Feng, Yaru Ju, Qiang Wu, Guozhu Sun, Zhongjie Yan

Abstract read
In one paragraph

Article in Open life sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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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

9 citing papers in PubMed.

  1. Review
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  4. Thiamine Deficiency and Neuroinflammation Are Important Contributors to Alcohol Use Disorder.Pathophysiology : the official journal of the International Society for Pathophysiology · 2025
    Review
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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

5 authors.

Yan FengDepartment of Neurosurgery, The Second Hospital of Hebei Medical University, Shi Jiazhuang, Hebei 050000, China.
Yaru JuPerinatal Center, The Fourth Hospital of Shi Jiazhuang, Shi Jiazhuang, Hebei 050011, China.
Qiang WuDepartment of Neurosurgery, The Second Hospital of Hebei Medical University, Shi Jiazhuang, Hebei 050000, China.
Guozhu SunDepartment of Neurosurgery, The Second Hospital of Hebei Medical University, Shi Jiazhuang, Hebei 050000, China.
Zhongjie YanDepartment of Neurosurgery, The Second Hospital of Hebei Medical University, No. 215 Heping West Road, Shi Jiazhuang, Hebei 050000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inhibition of Toll-like receptor 4 (TLR4)-mediated inflammatory pathways exerts a critical effect on neuronal death; therefore, it is a possible new therapeutic approach for traumatic brain injury (TBI). Resatorvid (TAK-242) is a novel small-molecule compound widely used to inhibit TLR4-mediated pathways, but the protective mechanism of TAK-242 in TBI remains unclear. Herein, we analyzed the neuroprotective effects of TAK-242 in rats after TBI. The rat model of brain injury was established using a modified Free-fall device, and the rats were injected with TAK-242 (0.5 mg/kg) through the caudal vein before TBI. The rats were allocated into four groups: a sham group, a TBI group, a TBI + vehicle group, and a TBI + TAK-242 group. The brain tissue was extracted for histology and determination of the expression of autophagy-related proteins and inflammatory mediators. TAK-242 pretreatment significantly reduced the damage to hippocampal neurons. Neuronal autophagy increased after brain injury, whereas TAK-242 significantly reduced autophagy marker protein LC3-II in the hippocampus. In addition, TAK-242 pretreatment significantly downregulated NF-κB p65, TNF-α, and IL-1β in the hippocampus. In conclusion, TAK-242 significantly reduced hippocampal neuronal damage by inhibiting autophagy and neuroinflammatory activity, possibly via the NF-κB signaling pathway.

Indexed as

autophagyneuroinflammationTAK-242toll-like receptor 4traumatic brain injury

Identifiers

PMID37528888
PMCPMC10389675

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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.