Evidence map›Paper›PMID 35586687›Full record

ReviewEvidence-based complementary and alternative medicine : eCAM2022

Clinical Evidence and Potential Mechanisms of Complementary Treatment of

Jiashuai Huang, Linjing Zhao, Jijia Sun, Lixin Wang, Jianrong Gu, Xijian Liu, Mengwen Yang, Yuting Wang, Ning Zhang, Jiamin Zhu and 3 more

Abstract readReview
In one paragraph

Review in Evidence-based complementary and alternative medicine : eCAM, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

13 authors.

Jiashuai HuangCollege of Chemistry and Chemical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China.ORCID https://orcid.org/0000-0003-0546-1837
Linjing ZhaoCollege of Chemistry and Chemical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China.ORCID https://orcid.org/0000-0002-8364-3495
Jijia SunDepartment of Mathematics and Physics, Pharmacy School, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.ORCID https://orcid.org/0000-0001-5068-4357
Lixin WangIntegrated TCM & Western Medicine Department, Shanghai Pulmonary Hospital, Tongji University, Shanghai 200433, China.
Jianrong GuInformatization Office, Shanghai University of Engineering Science, Shanghai 201620, China.
Xijian LiuCollege of Chemistry and Chemical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China.ORCID https://orcid.org/0000-0001-5856-9142
Mengwen YangCollege of Chemistry and Chemical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China.ORCID https://orcid.org/0000-0003-2226-128X
Yuting WangCollege of Chemistry and Chemical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China.ORCID https://orcid.org/0000-0002-7700-7679
Ning ZhangCollege of Chemistry and Chemical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China.ORCID https://orcid.org/0000-0002-3330-9923
Jiamin ZhuCollege of Chemistry and Chemical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China.ORCID https://orcid.org/0000-0003-4379-4827
Shanshan XuSchool of Basic Medical Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, Sichuan Province, China.
Xinfeng RenCollege of Chemistry and Chemical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China.
Ying SuDepartment of Pathology, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China.ORCID https://orcid.org/0000-0001-8322-0655

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aims to evaluate the clinical effects of Methods: Cluster analysis was adopted to investigate the TCM herbs and their frequency of occurrence for treating hyperlipidemia and obesity in an academic experience database of Chinese famous TCM doctors (http://www.gjmlzy.com:83). Then, relevant randomized controlled trials (RCTs) about LGZG supplementation in improving lipid levels and obesity were retrieved and analyzed. Lastly, the integration of network pharmacology, as well as greedy algorithms, which are theoretically well founded for the set cover in computer science, was exploited to identify the bioactive components of LGZG and to reveal potential mechanisms for attenuation or reversal of hyperlipidemia and obesity. Results: Based on the cluster analysis of 104 cases in TCM academic experience database, four TCM herbs in LGZG showed high-use frequency for treating hyperlipidemia and obesity. Meta-analysis on 19 randomized controlled trials (RCTs) with 1716 participants indicated that LGZG supplementation significantly decreased the serum levels of total triglycerides, total cholesterol, low-density lipoprotein cholesterol, BMI, and body weight and increased high-density lipoprotein cholesterol, compared with clinical control groups. No serious adverse effect was detected in all studies. Twenty-one bioactive components of LGZG, mainly flavonoids (i.e., naringenin, kaempferol, and kumatakenin), saponins (i.e., hederagenin), and fatty acids (i.e., eicosenoic acid), had the potential benefits possibly by regulating multiple targets such as PTPN1, CYP19A1, and ESR2, as well as a few complex pathways including the TNF signaling pathway, PPAR signaling pathway, arachidonic acid metabolism, fat digestion, and absorption. Conclusion: The present study has proved the clinical value of LGZG as a complementary treatment for attenuation or reversal of hyperlipidemia and obesity. More high-quality clinical and experimental studies in the future are demanded to verify its effects and the precise mechanism of action.

Identifiers

PMID35586687
PMCPMC9110158

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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.