Evidence map›Paper›PMID 35502176›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2022

The Mechanism of

Lin-Zi Li, Hui-Ying Wang, Jia-Hui Huang, Kun Liu, Xiao-Jie Feng, Xi-Ming Wang, Li-Jie Zhu, Xing-Lishang He, Xiang Zheng, Hai-Long Li and 6 more

Open access · hybridAbstract read
In one paragraph

Article 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 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 21% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Merits of bioactivity and products ofFrontiers in plant science · 2026
    Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. 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

16 authors at 3 institutions in 1 country.

Lin-Zi LiZhejiang University of Technology, Hangzhou, Zhejiang 310014, China.ORCID https://orcid.org/0000-0001-9131-3018
Hui-Ying WangZhejiang University of Technology, Hangzhou, Zhejiang 310014, China.
Jia-Hui HuangZhejiang University of Technology, Hangzhou, Zhejiang 310014, China.
Kun LiuZhejiang University of Technology, Hangzhou, Zhejiang 310014, China.
Xiao-Jie FengZhejiang University of Technology, Hangzhou, Zhejiang 310014, China.
Xi-Ming WangZhejiang University of Technology, Hangzhou, Zhejiang 310014, China.
Li-Jie ZhuZhejiang University of Technology, Hangzhou, Zhejiang 310014, China.ORCID https://orcid.org/0000-0001-6988-8421
Xing-Lishang HeZhejiang University of Technology, Hangzhou, Zhejiang 310014, China.
Xiang ZhengZhejiang University of Technology, Hangzhou, Zhejiang 310014, China.ORCID https://orcid.org/0000-0001-7675-7278
Hai-Long LiZhejiang University of Technology, Hangzhou, Zhejiang 310014, China.
Ying-Jie DongZhejiang University of Technology, Hangzhou, Zhejiang 310014, China.
Bo LiZhejiang University of Technology, Hangzhou, Zhejiang 310014, China.ORCID https://orcid.org/0000-0002-1918-8854
Han-Song WuZhejiang University of Technology, Hangzhou, Zhejiang 310014, China.
Ning-Hua JiangThe Second Affiliated Hospital of Jiaxing University, Huancheng North Road, Nanhu District, Jiaxing, Zhejiang 314001, China.ORCID https://orcid.org/0000-0003-0218-5822
Gui-Yuan LvZhejiang Chinese Medical University, Hangzhou, Zhejiang 310053, China.ORCID https://orcid.org/0000-0003-2732-4905
Su-Hong ChenZhejiang University of Technology, Hangzhou, Zhejiang 310014, China.ORCID https://orcid.org/0000-0001-8807-5071
Zhejiang University of Technology · CNJiaxing University · CNZhejiang Chinese Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Materials and Methods: The active compounds in DO, their targets, and targets associated with hyperlipidemia were screened across various databases, and the hidden targets of DO in treating hyperlipidemia were forecast. The compound-target (C-T), protein-protein interaction (PPI), and compound-target-pathway (C-T-P) networks of DO were set up with Cytoscape software. The hub genes and core clusters of DO predicted to be active against hyperlipidemia were calculated by Cytoscape. The DAVID database was adopted for Gene Ontology (GO) analysis and KEGG pathway enrichment analysis. Next, we used the high-sucrose-fat diet and alcohol (HFDA)-induced hyperlipidemia rats to evaluate the hypolipidemic effect of DO. Results: In this study, we obtained 264 compounds from DO, revealed 11 bioactive compounds, and predicted 89 potential targets of DO. The network analysis uncovered that naringenin, isorhamnetin, and taxifolin might be the compounds in DO that are mainly in charge of its roles in hyperlipidemia and might play a role by modulating the targets (including PPARG, ADIPOQ, AKT1, TNF, and APOB). The pathway analysis showed that DO might affect diverse signaling pathways related to the pathogenesis of hyperlipidemia, including PPAR signaling pathway, insulin resistance, AMPK signaling pathway, and non-alcoholic fatty liver disease simultaneously. Meanwhile, in the HFDA-induced hyperlipidemia rat model, DO could significantly decrease the level of TC, TG, LDL-c, and ALT in serum, and increase HDL-c as well. The liver pathological section indicated that DO could ease liver damage and lipid cumulation. Conclusion: In summary, the biological targets of the main bioactive compounds in DO were found to distribute across multiple metabolic pathways. These findings suggest that a mutual regulatory system consisting of multiple components, targets, and pathways is a likely mechanism through which DO may improve hyperlipidemia. Validation experiments indicated that DO may treat hyperlipidemia by affecting NAFLD-related signaling pathways.

Identifiers

PMID35502176
PMCPMC9056230
OpenAlexW4224015445

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.