Evidence map›Paper›PMID 39420985›Full record

ArticleFrontiers in neuroscience2024

Electroacupuncture ameliorates depression-like behaviors in rats with post-stroke depression by inhibiting ferroptosis in the prefrontal cortex.

Jing Gao, Xiaolei Song, Yixuan Feng, Lihua Wu, Zhimin Ding, Shikui Qi, Mingyue Yu, Ruonan Wu, Xinyue Zheng, Yanyan Qin and 4 more

Abstract read
In one paragraph

Article in Frontiers in neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 4 pooled it
–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

13 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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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

14 authors.

Jing Gao *Department of Rehabilitation Center, The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, China.
Xiaolei Song *Second Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China.
Yixuan Feng *School of Rehabilitation Medicine, Henan University of Chinese Medicine, Zhengzhou, China.
Lihua Wu *School of Rehabilitation Medicine, Henan University of Chinese Medicine, Zhengzhou, China.
Zhimin DingSchool of Rehabilitation Medicine, Henan University of Chinese Medicine, Zhengzhou, China.
Shikui QiDepartment of Rehabilitation Center, The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, China.
Mingyue YuSchool of Rehabilitation Medicine, Henan University of Chinese Medicine, Zhengzhou, China.
Ruonan WuSchool of Rehabilitation Medicine, Henan University of Chinese Medicine, Zhengzhou, China.
Xinyue ZhengSchool of Rehabilitation Medicine, Henan University of Chinese Medicine, Zhengzhou, China.
Yanyan QinSchool of Rehabilitation Medicine, Henan University of Chinese Medicine, Zhengzhou, China.
Yuchuang TangSchool of Rehabilitation Medicine, Henan University of Chinese Medicine, Zhengzhou, China.
Mengyu WangSchool of Rehabilitation Medicine, Henan University of Chinese Medicine, Zhengzhou, China.
Xiaodong FengDepartment of Rehabilitation Center, The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, China.
Qiongshuai ZhangThe First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Post-stroke depression (PSD) is the most common complication following a stroke, significantly hindering recovery and rehabilitation in affected patients. Despite its prevalence, the pathogenesis of PSD remains poorly understood. Electroacupuncture (EA) has shown antidepressant effects, yet its neuroprotective properties are not well defined. Ferroptosis, a recently identified form of cell death, is implicated in the pathological processes of stroke and is associated with the development of depression-like behaviors. So we aimed to investigate whether PSD induces ferroptosis, identify potential therapeutic targets within these pathways, and elucidate the underlying mechanisms in this study. Methods: Male Sprague-Dawley rats were subjected to middle carotid artery occlusion and chronic unpredictable mild stress to model PSD. To explore the role of ferroptosis in the effects of EA, the ferroptosis inducer erastin was administered into the rats' lateral ventricles, followed by 14 days of EA treatment, with sessions lasting 30 minutes per day. The Zea-Longa score was used to assess neurological deficits, while the sucrose preference test, elevated plus maze test, and open-field test were employed to evaluate depression-like behaviors in the rats. Hematoxylin-eosin, Nissl, and Perl's staining were used to observe the morphological changes and iron deposition in the prefrontal neurons. Transmission electron microscopy provided detailed observations of mitochondrial morphological changes in neurons. We utilized activity assay kits, enzyme-linked immunosorbent assay (ELISA), and Western blotting to explore potential molecular mechanisms underlying the effects of EA. Results: EA can reduce neurological deficits and enhance the spontaneous activity and exploration behavior of rats. In addition, EA could inhibit prefrontal cortex neuronal ferroptosis by reducing iron deposition, decreasing lipid peroxidation, and enhancing antioxidation. Discussion: EA improved depression-like behaviors, mitigated mitochondrial damage, and inhibited ferroptosis in prefrontal cortex neurons. Notably, the administration of erastin further enhanced these effects. In conclusion, EA appears to improve PSD by inhibiting ferroptosis in the prefrontal cortex.

Indexed as

depression-like behaviorelectroacupunctureferroptosisiron accumulationpost-stroke depression

Identifiers

PMID39420985
PMCPMC11483888

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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.