Evidence map›Paper›PMID 32518774›Full record

ArticleWorld journal of clinical cases2020

Cross electro-nape-acupuncture ameliorates cerebral hemorrhage-induced brain damage by inhibiting necroptosis.

Guo-Feng Cai, Zhong-Ren Sun, Zhe Zhuang, Hai-Chun Zhou, Shan Gao, Kai Liu, Li-Li Shang, Kun-Ping Jia, Xiu-Zhen Wang, Hui Zhao and 3 more

Open access · diamondAbstract read
In one paragraph

Article in World journal of clinical cases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 33% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
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  3. Review
  4. Article
  5. 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

13 authors at 3 institutions in 1 country.

Guo-Feng CaiHanan Branch of Second Affiliated Hospital of Heilongjiang University of Traditional Chinese Medicine, Harbin 150001, Heilongjiang Province, China.
Zhong-Ren SunHeilongjiang University of Traditional Chinese Medicine, Harbin 150040, Heilongjiang Province, China.
Zhe ZhuangSecond Affiliated Hospital of Heilongjiang University of Traditional Chinese Medicine, Harbin 150000, Heilongjiang Province, China.
Hai-Chun ZhouHanan Branch of Second Affiliated Hospital of Heilongjiang University of Traditional Chinese Medicine, Harbin 150001, Heilongjiang Province, China.
Shan GaoFirst Affiliated Hospital of Heilongjiang University of Traditional Chinese Medicine, Harbin 150040, Heilongjiang Province, China.
Kai LiuHanan Branch of Second Affiliated Hospital of Heilongjiang University of Traditional Chinese Medicine, Harbin 150001, Heilongjiang Province, China.
Li-Li ShangSecond Affiliated Hospital of Heilongjiang University of Traditional Chinese Medicine, Harbin 150000, Heilongjiang Province, China.
Kun-Ping JiaHanan Branch of Second Affiliated Hospital of Heilongjiang University of Traditional Chinese Medicine, Harbin 150001, Heilongjiang Province, China. jka3ih@163.com.
Xiu-Zhen WangHanan Branch of Second Affiliated Hospital of Heilongjiang University of Traditional Chinese Medicine, Harbin 150001, Heilongjiang Province, China.
Hui ZhaoSecond Affiliated Hospital of Heilongjiang University of Traditional Chinese Medicine, Harbin 150000, Heilongjiang Province, China.
Guo-Liang CaiHarbin Sport University, Harbin 150001, Heilongjiang Province, China.
Wen-Li SongHarbin Sport University, Harbin 150001, Heilongjiang Province, China.
Sheng-Nan XuGraduate School of Heilongjiang University of Traditional Chinese Medicine, Harbin 150040, Heilongjiang Province, China.
Heilongjiang University of Chinese Medicine · CNFirst Affiliated Hospital of Heilongjiang University of Chinese Medicine · CNHarbin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundReceptor interacting protein kinase 1 (RIPK1)-mediated cell death, including apoptosis and necroptosis, belongs to programmed cell death. It has been reported that RIPK1-mediated necroptosis exists in lesions of cerebral hemorrhage (CH). Electroacupuncture, a treatment derived from traditional Chinese medicine, could improve neurological impairment in patients with brain injury.

aimTo investigate the protective role of cross electro-nape acupuncture (CENA) in CH, and clarify the potential mechanism.

methodsCH rat models were established, and CENA was applied to the experimental rats. Neurological functions and encephaledema were then measured. Necrotic cells in the brain of rats with CH were evaluated by propidium iodide staining. Necroptosis was assessed by immunofluorescence. Activation of the necroptosis-related pathway was detected by western blot. Extraction of brain tissue, cerebrospinal fluid and serum samples was conducted to measure the expression and secretion of inflammatory cytokines by quantitative real-time polymerase chain reaction and enzyme-linked immunosorbent assay.

resultsThe necroptotic marker p-MLKL was detectable in the brains of rats with CH. Next, we found that CENA could ameliorate neurological functions in rat models of CH. Moreover, the upregulation of RIPK1-mediated necroptosis-related molecules in the brains of rats with CH were inhibited by CENA. Further investigation revealed that CENA partially blocked the interaction between RIPK1 and RIPK3. Finally,

conclusionThese findings revealed that CENA exerts a protective role in CH models by inhibiting RIPK1-mediated necroptosis.

Indexed as

Cerebral hemorrhageCross electro-nape acupunctureEnzyme-linked immunosorbent assayNecroptosisQuantitative real-time polymerase chain reactionReceptor interacting protein kinase 1

Identifiers

PMID32518774
PMCPMC7262720
OpenAlexW3029775143

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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.