Evidence map›Paper›PMID 35230607›Full record

ReviewChinese journal of integrative medicine2022

Mechanisms of Acupuncture in Improving Alzheimer's Disease Caused by Mitochondrial Damage.

Yu-Hang Jiang, Jia-Kai He, Ran Li, Ze-Hao Chen, Bao-Hui Jia

Abstract readReview
PubMed Publisher
In one paragraph

Review in Chinese journal of integrative medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Review
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 at 2 institutions in 1 country.

Yu-Hang JiangDepartment of Acupuncture, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, China.
Jia-Kai HeDepartment of Acupuncture, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, China.
Ran LiDepartment of Acupuncture, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, China.
Ze-Hao ChenDepartment of Acupuncture, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, China.
Bao-Hui JiaDepartment of Acupuncture, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, China. myrroossee@aliyun.com.
Guang’anmen Hospital · CNChinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer's disease (AD) is one of the most common neurodegenerative diseases among the elderly and it accounts for nearly 80% of all dementias. The pathogenesis of AD is complicated and enigmatic thus far. The mitochondrial cascade hypothesis assumes that mitochondrial damage may mediate, drive, or contribute to a variety of AD pathologies and may be the main factor in late-onset AD. Currently, there are no widely recognized drugs able to attenuate mitochondrial damage in AD. Notably, increasing evidence supports the efficacy of acupuncture for improving the mitochondrial structure and protecting mitochondrial functions in AD. This review reports the mechanisms by which acupuncture regulates mitochondrial dynamics, energy metabolism, calcium homeostasis and apoptosis. In conclusion, these findings suggest that AD mitochondrial dysfunction represents a reasonable therapeutic target and acupuncture could play a significant role in preventing and treating AD.

Indexed as

Acupuncture TherapyAlzheimer DiseaseAgedApoptosisHumansMitochondriaacupunctureAlzheimer’s diseasemitochondrial damagereview

Identifiers

PMID35230607
OpenAlexW4214483448

What Socratic 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 Socratic graph.