Evidence map›Paper›PMID 35378831›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2022

Potential Molecular Mechanism of Yishen Capsule in the Treatment of Diabetic Nephropathy Based on Network Pharmacology and Molecular Docking.

Yaling Hu, Shuang Liu, Wenyuan Liu, Ziyuan Zhang, Yuxiang Liu, Sufen Li, Dalin Sun, Guang Zhang, Jingai Fang

Open access · goldAbstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
1.9field-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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Yishen Capsule Alleviated Symptoms of Diabetic Nephropathy via NOD-like Receptor Signaling Pathway.Diabetes, metabolic syndrome and obesity : targets and therapy · 2022
    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

9 authors at 1 institution in 1 country.

Yaling HuShanxi Medical University, Taiyuan, Shanxi, 030001, People's Republic of China.
Shuang LiuDepartment of Urology, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, 030001, People's Republic of China.
Wenyuan LiuDepartment of Nephrology, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, 030001, People's Republic of China.
Ziyuan ZhangDepartment of Nephrology, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, 030001, People's Republic of China.
Yuxiang LiuShanxi Medical University, Taiyuan, Shanxi, 030001, People's Republic of China.
Sufen LiDepartment of Nephrology, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, 030001, People's Republic of China.
Dalin SunDepartment of Nephrology, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, 030001, People's Republic of China.
Guang ZhangDepartment of Nephrology, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, 030001, People's Republic of China.
Jingai FangDepartment of Nephrology, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, 030001, People's Republic of China.
Shanxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Using network pharmacology and molecular docking to explore the mechanism of Yishen Capsule in the treatment of diabetic nephropathy. Materials and Methods: Active components of Yishen Capsule were obtained using database such as TCMSP and TCMID. UniProt protein database was used to screen and standardize the human-derived targets of the active chemical components. Diabetic nephropathy (DN) targets were obtained from databases such as GeneCards, OMIM, TTD, DisGeNET and DrugBank. A network of "Yishen Capsule Components-diabetic nephropathy Targets-Pathways" was constructed by analyzing data above to screening out core targets for molecular docking verification. DN is induced by streptozocin in rats after left nephrectomy. Renal tubular epithelial cells (RTECs) was isolated  and cultured under high glucose conditions. Based on these experimental models, key pathway target genes screened by network pharmacology were verified both in vitro and in vivo. Results: The main active components of Yishen Capsule in the treatment of DN include quercetin, kaempferol, gallic acid, astragaloside IV, etc. Some key targets (such as AR, AKT1, TP53, ESR1, JUN) and important signal pathways (such as AGE-RAGE, HIF-1 and JAK-STAT signal pathway) were included in the treatment of DN with Yishen Capsule. Molecular docking assay showed that most of the targets have good binding activity with the components of Yishen Capsule. Based on the results of network pharmacology, key target proteins in HIF-1α and JAK2/STAT3 signaling pathways were selected for experimental verification. Results presented that HIF-1α, JAK2, STAT3, TGF-β and MCP-1 were increased under high glucose environment. With the treatment of Yishen Capsule, the expression of HIF-1α further increased, while the expression of JAK2, STAT3, MCP-1 and TGF-β was decreased. Conclusion: This study revealed the mechanism of Yishen Capsule in the treatment of DN, which possesses the characteristics of multi-component, multi-target, and multi-pathway. Further experiments confirmed that Yishen Capsule interfered with HIF-1α and JAK/STAT signaling pathways to reduce inflammation and fibrosis damage in the kidney tissue of rats with diabetic nephropathy.

Indexed as

diabetic nephropathyHIF-1αJAK/STATmolecular dockingnetwork pharmacology

Identifiers

PMID35378831
PMCPMC8976486
OpenAlexW4220911865

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.