Evidence map›Paper›PMID 35003311›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2021

The Study of Yin-Chen-Hao-Tang Preventing and Treating Alcoholic Fatty Liver Disease through PPAR Signaling Pathway Based on Network Pharmacology and RNA-Seq Transcriptomics.

Yi-Wei Zhu, Du Li, Ting-Jie Ye, Feng-Jun Qiu, Xiao-Ling Wang, Xiao-Feng Yan, Yan-Lin Lu, Wei Xu, Hua Li, Xu-Dong Hu

Open access · hybridAbstract read
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

9 citing papers in PubMed, 30 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

10 authors at 1 institution in 1 country.

Yi-Wei Zhu *Department of Biology, School of Basic Medical Science, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.ORCID https://orcid.org/0000-0002-2770-9971
Du Li *Department of Biology, School of Basic Medical Science, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.ORCID https://orcid.org/0000-0002-7314-4537
Ting-Jie Ye *Department of Biology, School of Basic Medical Science, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.ORCID https://orcid.org/0000-0003-2371-0374
Feng-Jun QiuDepartment of Biology, School of Basic Medical Science, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.ORCID https://orcid.org/0000-0002-5792-1498
Xiao-Ling WangDepartment of Biology, School of Basic Medical Science, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.ORCID https://orcid.org/0000-0002-0304-6464
Xiao-Feng YanDepartment of Biology, School of Basic Medical Science, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.ORCID https://orcid.org/0000-0001-8510-0411
Yan-Lin LuDepartment of Biology, School of Basic Medical Science, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.ORCID https://orcid.org/0000-0002-3841-655X
Wei XuDepartment of Biology, School of Basic Medical Science, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.ORCID https://orcid.org/0000-0001-7977-4487
Hua LiDepartment of Biology, School of Basic Medical Science, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.ORCID https://orcid.org/0000-0002-0534-9530
Xu-Dong HuDepartment of Biology, School of Basic Medical Science, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.ORCID https://orcid.org/0000-0002-2166-0564
Shanghai University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlcoholic fatty liver disease (AFLD) is the first stage of the alcoholic liver disease course. Yin-Chen-Hao-Tang (YCHT) has a good clinical effect on the treatment of AFLD, but its molecular mechanism has not been elucidated. In this study, we tried to explore the molecular mechanism of YCHT in improving hepatocyte steatosis in AFLD mice through network pharmacology and RNA sequencing (RNA-Seq) transcriptomics.

methodsNetwork pharmacological methods were used to analyze the potential therapeutic signaling pathways and targets of YCHT on AFLD. Then, the AFLD mice model was induced and YCHT was administered concurrently. Liver injury was measured by serum alanine aminotransferase (ALT) activity and liver tissue H&E staining, and liver steatosis was determined by serum triglyceride (TG) level and liver tissue Oil Red staining. The molecular mechanism of YCHT on prevention and treatment of mice AFLD was investigated according to the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis of the differential expression genes data obtained by liver tissue RNA-Seq. Finally, ethanol-induced AFLD AML12 hepatocyte model was established, YCHT with or without PPAR

resultsThe results of network pharmacology analysis showed that YCHT may exert its pharmacological effect on AFLD through 312 potential targets which are involved in many signaling pathways including the PPAR signaling pathway. AFLD mice experiments results showed that YCHT markedly decreased mice serum ALT activity and serum TG levels. YCHT also significantly improved alcohol-induced hepatic injury and steatosis in mice livers. Furthermore, KEGG pathway enrichment results of RNA-Seq showed that the PPAR signaling pathway should be the most relevant pathway of YCHT in the prevention and treatment of AFLD. AFLD hepatocyte model experiment results showed that YCHT could remarkably reduce hepatocyte steatosis through reducing PPAR

conclusionsOur study discovered that PPAR

Identifiers

PMID35003311
PMCPMC8741355
OpenAlexW4226115421

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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.