Evidence map›Paper›PMID 38029250›Full record

SynthesisFrontiers in cellular and infection microbiology2023

Convergent application of traditional Chinese medicine and gut microbiota in ameliorate of cirrhosis: a data mining and Mendelian randomization study.

Cheng Zhou, Jingjing Wei, Peng Yu, Jinqiu Yang, Tong Liu, Ran Jia, Siying Wang, Pengfei Sun, Lin Yang, Haijuan Xiao

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Frontiers in cellular and infection microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 8% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. CombinedFrontiers in pharmacology · 2026
    Article
  4. Article
  5. Article
  6. 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

10 authors at 3 institutions in 1 country.

Cheng Zhou *The First College of Clinical Medicine, Henan University of Chinese Medicine, Zhengzhou, China.
Jingjing Wei *The First College of Clinical Medicine, Henan University of Chinese Medicine, Zhengzhou, China.
Peng Yu *The First College of Clinical Medicine, Henan University of Chinese Medicine, Zhengzhou, China.
Jinqiu YangThe First College of Clinical Medicine, Henan University of Chinese Medicine, Zhengzhou, China.
Tong LiuThe First College of Clinical Medicine, Henan University of Chinese Medicine, Zhengzhou, China.
Ran JiaThe First College of Clinical Medicine, Henan University of Chinese Medicine, Zhengzhou, China.
Siying WangThe First College of Clinical Medicine, Henan University of Chinese Medicine, Zhengzhou, China.
Pengfei SunDepartment of Orthopaedics, Jiangsu Province Hospital of Chinese Medicine, Nanjing, China.
Lin YangDepartment of Hepatobiliary Surgery, Xianyang Central Hospital Affiliated to Shaanxi University of Chinese Medicine, Xianyang, China.
Haijuan XiaoDepartment of Oncology, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang, China.
First Affiliated Hospital of Henan University · CNAffiliated Hospital of Shaanxi University of Chinese Medicine · CNJiangsu Province Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Traditional Chinese medicine (TCM) has been used for the treatment of chronic liver diseases for a long time, with proven safety and efficacy in clinical settings. Previous studies suggest that the therapeutic mechanism of TCM for hepatitis B cirrhosis may involve the gut microbiota. Nevertheless, the causal relationship between the gut microbiota, which is closely linked to TCM, and cirrhosis remains unknown. This study aims to utilize two-sample Mendelian randomization (MR) to investigate the potential causal relationship between gut microbes and cirrhosis, as well as to elucidate the synergistic mechanisms between botanical drugs and microbiota in treating cirrhosis. Methods: Eight databases were systematically searched through May 2022 to identify clinical studies on TCM for hepatitis B cirrhosis. We analyzed the frequency, properties, flavors, and meridians of Chinese medicinals based on TCM theories and utilized the Apriori algorithm to identify the core botanical drugs for cirrhosis treatment. Cross-database comparison elucidated gut microbes sharing therapeutic targets with these core botanical drugs. MR analysis assessed consistency between gut microbiota causally implicated in cirrhosis and microbiota sharing therapeutic targets with key botanicals. Results: Our findings revealed differences between the Chinese medicinals used for compensated and decompensated cirrhosis, with distinct frequency, dosage, properties, flavors, and meridian based on TCM theory. Conclusion: We identified 6 core botanical drugs for managing compensated and decompensated hepatitis B cirrhosis, despite slight prescription differences. The core botanical drugs affected cirrhosis through multiple targets and pathways. The shared biological effects between botanicals and protective gut microbiota offer a potential explanation for the therapeutic benefits of these key herbal components in treating cirrhosis. Elucidating these mechanisms provides crucial insights to inform new drug development and optimize clinical therapy for hepatitis B cirrhosis.

Indexed as

Drugs, Chinese HerbalGastrointestinal MicrobiomeHepatitis BData MiningHumansLiver CirrhosisMedicine, Chinese TraditionalMendelian Randomization AnalysisPaeoniaPlant ExtractsDrugs, Chinese Herbalpeony root extractPlant Extractsdata mininggut microbiotahepatitis B cirrhosismendelian randomizationnetwork analysistraditional Chinese medicine

Identifiers

PMID38029250
PMCPMC10657829
OpenAlexW4388423286

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.