Evidence map›Paper›PMID 35185516›Full record

ArticleFrontiers in aging neuroscience2021

Electro-Acupuncture Improve the Early Pattern Separation in Alzheimer's Disease Mice

Long Li, Jianhong Li, Yaling Dai, Minguang Yang, Shengxiang Liang, Zhifu Wang, Weilin Liu, Lidian Chen, Jing Tao

Open access · goldAbstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 16% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

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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

9 authors at 2 institutions in 1 country.

Long LiRehabilitation Medical Technology Joint National Local Engineering Research Center, Fujian University of Traditional Chinese Medicine, Fuzhou, China.
Jianhong LiTCM Rehabilitation Research Center of SATCM, Fujian University of Traditional Chinese Medicine, Fuzhou, China.
Yaling DaiRehabilitation Medical Technology Joint National Local Engineering Research Center, Fujian University of Traditional Chinese Medicine, Fuzhou, China.
Minguang YangRehabilitation Medical Technology Joint National Local Engineering Research Center, Fujian University of Traditional Chinese Medicine, Fuzhou, China.
Shengxiang LiangTCM Rehabilitation Research Center of SATCM, Fujian University of Traditional Chinese Medicine, Fuzhou, China.
Zhifu WangCollege of Integrated Traditional Chinese and Western Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, China.
Weilin LiuCollege of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, China.
Lidian ChenRehabilitation Medical Technology Joint National Local Engineering Research Center, Fujian University of Traditional Chinese Medicine, Fuzhou, China.
Jing TaoCollege of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, China.
Fujian University of Traditional Chinese Medicine · CNState Administration of Traditional Chinese Medicine of the People's Republic of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo explore the effect of electro-acupuncture (EA) treatment on pattern separation and investigate the neural circuit mechanism involved in five familial mutations (5 × FAD) mice.

methodsFive familial mutations mice were treated with EA at Baihui (DU20) and Shenting (DU24) acupoints for 30 min each, lasting for 4 weeks. Cognitive-behavioral tests were performed to evaluate the effects of EA treatment on cognitive functions.

resultsElectro-acupuncture treatment significantly improved spatial recognition memory and pattern separation impairment, regulated cholinergic system via reduction neuron loss, upregulation of choline/creatine, choline acetyltransferase, vesicular acetylcholine transporter, and downregulation of enzyme acetylcholinesterase in 5 × FAD mice. Aβ deposition was reduced after EA treatment. Subsequently, the monosynaptic hM4Di DREADDs virus tracing and inhibiting strategy showed that EA treatment activates the MS/VDB-DG cholinergic neural circuit to improve the early pattern separation. In addition, EA treatment activates this circuit to upregulating M1 receptors positive cells and promoting hippocampal neurogenesis in the dentate gyrus (DG).

conclusionElectro-acupuncture could improve the early pattern separation impairment by activating the MS/VDB-DG cholinergic neural circuit in 5 × FAD mice, which was related to the regulation of the cholinergic system and the promotion of neurogenesis by EA treatment.

Indexed as

Alzheimer’s diseasechemogenetic technologycholinergic neural circuitelectro-acupuncturepattern separation

Identifiers

PMID35185516
PMCPMC8847781
OpenAlexW4210632661

What OpenQuestion holds

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LicenceCC BY
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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.