Evidence map›Paper›PMID 35224164›Full record

ArticleGenes & diseases2022

Chinese herbal decoction astragalus and angelica exerts its therapeutic effect on renal interstitial fibrosis through the inhibition of MAPK, PI3K-Akt and TNF signaling pathways.

Hao Yuan, Xuelian Wu, Xiaomin Wang, Chengfu Yuan

Open access · diamondAbstract read
In one paragraph

Article in Genes & diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 27% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Frontiers in pharmacology · 2022
    Review
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

4 authors at 1 institution in 1 country.

Hao YuanCollege of Medical Science, China Three Gorges University, Yichang, Hubei 443002, PR China.
Xuelian WuCollege of Medical Science, China Three Gorges University, Yichang, Hubei 443002, PR China.
Xiaomin WangChumeiren Medical Cosmetic Clinic, WuJiaGang District, Yichang, Hubei 443002, PR China.
Chengfu YuanCollege of Medical Science, China Three Gorges University, Yichang, Hubei 443002, PR China.
China Three Gorges University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Astragalus and Angelica decoction (A&A) has been clinically used as a classical traditional Chinese medicine (TCM) formula in China for many years for the treatment of kidney diseases, especially renal interstitial fibrosis (RIF). However, the mechanisms underlying the therapeutic effects of A&A on RIF remains poorly understood. In the present study, systematic network pharmacology and effective experimental verification were utilized for the first time to elucidate the pharmacological efficacy and potential mechanism. The outcomes indicated that 22 active components and 87 target genes of A&A were identified and cross-referenced with RIF-associated genes, contributing to confirmation of 74 target genes of A&A for RIF. Pathway and functional enrichment analyses revealed that A&A had substantial effects on MAPK, PI3K-Akt and TNF signaling pathways. In addition, seven core targets with relatively higher betweenness and degree were identified in the constructed Chinese medicine material-chemical component-target-signal pathway network. Moreover, we verified the potential therapeutic effect of A&A

Indexed as

Active componentsAstragalus and angelica decoctionNetwork pharmacologyRenal interstitial fibrosisTarget gene

Identifiers

PMID35224164
PMCPMC8843878
OpenAlexW3036708755

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.