Evidence map›Paper›PMID 32592024›Full record

ReviewTranslational stroke research2020

Mitochondrial Transfer as a Therapeutic Strategy Against Ischemic Stroke.

Wei Chen, Jingjing Huang, Yueqiang Hu, Seyed Esmaeil Khoshnam, Alireza Sarkaki

Abstract readReview
PubMed Publisher
In one paragraph

Review in Translational stroke research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Review
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  4. Mitochondrial transplant activates CaStem cell research & therapy · 2026
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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.

Wei ChenThe 1st Encephalopathy Area, The First Affiliated of Guangxi University of Chinese Medicine, Nanning, 530023, China.
Jingjing HuangDepartment of Spleen, Stomach and Liver Diseases, The First Affiliated Hospital of Guangxi University of Chinese Medicine, Nanning, 530023, China.
Yueqiang HuThe 1st Encephalopathy Area, The First Affiliated of Guangxi University of Chinese Medicine, Nanning, 530023, China. zhyxbj09@163.com.
Seyed Esmaeil KhoshnamPhysiology Research center, Ahvaz Jundishapur University of Medical Science, Ahvaz, Iran. Esmaeil.khoshnam1392@gmail.com.ORCID 0000-0002-3834-4242
Alireza SarkakiPhysiology Research center, Ahvaz Jundishapur University of Medical Science, Ahvaz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stroke is a debilitating disease that remains the second leading cause of death and disability worldwide. Despite accumulating knowledge of the disease pathology, treatments for stroke are limited, and clinical translation of the neuroprotective agents has not been a complete success. Accumulating evidence links mitochondrial dysfunction to brain impairments after stroke. Recent studies have implicated the important roles of healthy mitochondria in neuroprotection and neural recovery following ischemic stroke. New and convincing studies have shown that mitochondrial transfer to the damaged cells can help revive cells energetic in the recipient cells. Hence, mitochondrial transplantation has shown to replace impaired or dysfunctional mitochondria with exogenous healthy mitochondria after ischemic stroke. We highlight the potential of mitochondrial transfer by stem cells as a therapeutic strategy for the treatment of ischemic stroke. This review captures the recent advances in the mitochondrial transfer as a novel and promising treatment for ischemic stroke.

Indexed as

AnimalsHumansIschemic StrokeMitochondriaNeuroprotective AgentsNeuroprotective AgentsIschemic strokeMitochondrial transferStem cells

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.