Evidence map›Paper›PMID 30546033›Full record

Trial reportScientific reports2018

Active Acupoints Differ from Inactive Acupoints in Modulating Key Plasmatic Metabolites of Hypertension: A Targeted Metabolomics Study.

Mingxiao Yang, Zheng Yu, Xiaomin Chen, Zhenyu Guo, Shufang Deng, Lin Chen, Qiaofeng Wu, Fanrong Liang

Abstract readClinical TrialComparative Study
In one paragraph

Trial report in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Novel insights into weight loss: acupuncture combined with a very low-carbohydrate diet-a Swiss experience.Acupuncture in medicine : journal of the British Medical Acupuncture Society · 2023
    Observational
  5. Article
  6. Article
  7. Article
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

8 authors.

Mingxiao YangCollege of Acupuncture and Tuina, Chengdu University of Traditional Chinese Medicine, 37 Shierqiao Road, Jinniu Street, Chengdu, 610075, Sichuan, China.ORCID http://orcid.org/0000-0002-6514-3366
Zheng YuCollege of Acupuncture and Tuina, Chengdu University of Traditional Chinese Medicine, 37 Shierqiao Road, Jinniu Street, Chengdu, 610075, Sichuan, China.
Xiaomin ChenMetabolomics, Scientific Technology Department, BGI, Beishan Industrial Zone, Yantian District, Shenzhen, 518083, Guangdong, China.
Zhenyu GuoMetabolomics, Scientific Technology Department, BGI, Beishan Industrial Zone, Yantian District, Shenzhen, 518083, Guangdong, China.
Shufang DengCollege of Acupuncture and Tuina, Chengdu University of Traditional Chinese Medicine, 37 Shierqiao Road, Jinniu Street, Chengdu, 610075, Sichuan, China.
Lin ChenCollege of Acupuncture and Tuina, Chengdu University of Traditional Chinese Medicine, 37 Shierqiao Road, Jinniu Street, Chengdu, 610075, Sichuan, China.
Qiaofeng WuCollege of Acupuncture and Tuina, Chengdu University of Traditional Chinese Medicine, 37 Shierqiao Road, Jinniu Street, Chengdu, 610075, Sichuan, China. rwqfrwqf@163.com.
Fanrong LiangCollege of Acupuncture and Tuina, Chengdu University of Traditional Chinese Medicine, 37 Shierqiao Road, Jinniu Street, Chengdu, 610075, Sichuan, China. acuresearch@126.com.

Funding

Ministry of Science and Technology of the People's Republic of China (Chinese Ministry of Science and Technology) 2012CB518501National Natural Science Foundation of China (National Science Foundation of China) 81373737National Natural Science Foundation of China (National Science Foundation of China) 81590951, 81403482
6 · The paper itself

Abstract

The effect of active acupoints versus inactive acupoints in treating hypertension is not well documented. Metabolic phenotypes, depicted by metabolomics analysis, reflect the influence of external exposures, nutrition, and lifestyle on the integrated system of the human body. Therefore, we utilized high-performance liquid chromatography tandem mass spectrometry to compare the targeted metabolic phenotype changes induced by two different acupoint treatments. The clinical outcomes show that active acupoint treatment significantly lowers 24-hour systolic blood pressure but not diastolic blood pressure, as compared with inactive acupoint treatment. Furthermore, distinctive changes are observed between the metabolomics data of the two groups. Multivariate analysis shows that only in the active acupoint treatment group can the follow-up plasma be clearly separated from the baseline plasma. Moreover, the follow-up plasma of these two groups can be clearly separated, indicating two different post-treatment metabolic phenotypes. Three metabolites, sucrose, cellobiose, and hypoxanthine, are shown to be the most important features of active acupoint treatment. This study demonstrates that metabolomic analysis is a potential tool that can be used to efficiently differentiate the effect of active acupoints from inactive acupoints in treating hypertension. Possible mechanisms are the alternation of hypothalamic microinflammation and the restoration of host-gut microbiota interactions induced by acupuncture.

Indexed as

Acupuncture PointsBlood PressureHypertensionAgedCellobioseChromatography, High Pressure LiquidFemaleHumansHypoxanthineMaleMass SpectrometryMetabolomicsMiddle AgedSucroseCellobioseHypoxanthineSucrose

Identifiers

PMID30546033
PMCPMC6292875

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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.