Evidence map›Paper›PMID 39840113›Full record

ReviewFrontiers in pharmacology2024

Nature's magic: how natural products work hand in hand with mitochondria to treat stroke.

Lin Cheng, Shangbin Lv, Chengkai Wei, Sucheng Li, Hao Liu, Yong Chen, Zhaoliang Luo, Hongyan Cui

Abstract readReview
In one paragraph

Review in Frontiers in pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

8 authors.

Lin Cheng *Department of Neurology, Chongqing Kaizhou Hospital of Traditional Chinese Medicine, Chongqing, China.
Shangbin Lv *Chongqing Universty of Traditional Chinese Medicine, Chongqing, China.
Chengkai WeiDepartment of Neurology, Chongqing Kaizhou Hospital of Traditional Chinese Medicine, Chongqing, China.
Sucheng LiDepartment of Neurology, Chongqing Kaizhou Hospital of Traditional Chinese Medicine, Chongqing, China.
Hao LiuDepartment of Neurology, Chongqing Kaizhou Hospital of Traditional Chinese Medicine, Chongqing, China.
Yong ChenDepartment of Neurology, Chongqing Kaizhou Hospital of Traditional Chinese Medicine, Chongqing, China.
Zhaoliang LuoDepartment of Encephalopathy, Chongqing Traditional Chinese Medicine Hospital, Chongqing, China.
Hongyan CuiDepartment of Rehabilitation Medicine, The Fifth People's Hospital of Chongqing, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Mitochondria, as the energy factories of cells, are involved in a wide range of vital activities, including cell differentiation, signal transduction, the cell cycle, and apoptosis, while also regulating cell growth. However, current pharmacological treatments for stroke are challenged by issues such as drug resistance and side effects, necessitating the exploration of new therapeutic strategies. Objective: This review aims to summarize the regulatory effects of natural compounds targeting mitochondria on neuronal mitochondrial function and metabolism, providing new perspectives for stroke treatment. Main findings: Numerous Conclusion: As multi-target chemical agents, natural products offer high efficacy with fewer side effects and present promising potential for innovative stroke therapies. Future research should further investigate the effectiveness and safety of these natural products in clinical applications, advancing their development as a new therapeutic strategy for stroke.

Indexed as

ischaemic injurymitochondrianatural productsneuronal protectionstroke

Identifiers

PMID39840113
PMCPMC11747497

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.