Evidence map›Paper›PMID 37565668›Full record

ArticlePharmaceutical biology2023

Integrating network pharmacology and experimental validation to decipher the mechanism of the Chinese herbal prescription modified Shen-Yan-Fang-Shuai formula in treating diabetic nephropathy.

Borui Yu, Mengqi Zhou, Zhaocheng Dong, Huijuan Zheng, Yuxue Zhao, Jingwei Zhou, Chao Zhang, Fudong Wei, Guoyong Yu, Wei Jing Liu and 2 more

Open access · goldAbstract read
In one paragraph

Article in Pharmaceutical biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
4.0field-weighted citation impact, top 7% 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

11 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Journal of advanced pharmaceutical technology & research
    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

12 authors at 2 institutions in 1 country.

Borui YuDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, P.R. China.
Mengqi ZhouDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, P.R. China.
Zhaocheng DongDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, P.R. China.
Huijuan ZhengDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, P.R. China.
Yuxue ZhaoDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, P.R. China.
Jingwei ZhouDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, P.R. China.
Chao ZhangDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, P.R. China.
Fudong WeiDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, P.R. China.
Guoyong YuDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, P.R. China.
Wei Jing LiuDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, P.R. China.
Hongfang LiuDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, P.R. China.
Yaoxian WangBeijing University of Chinese Medicine, Beijing, P.R. China.
Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine · CNBeijing University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextDiabetic nephropathy (DN) is the main cause of end-stage renal disease. Modified Shen-Yan-Fang-Shuai formula (M-SYFSF) has excellent clinical efficacy in treating diabetic kidney disease. However, the potential mechanism of M-SYFSF remains unknown.

objectiveTo investigate the mechanism of M-SYFSF against DN by network pharmacological analysis and biological experiments. MATERIALS AND

methodsUtilizing a web-based pharmacology database, the potential mechanisms of M-SYFSF against DN were identified.

resultsNetwork pharmacological analysis showed that MAPK pathway was the potential pathway. Results showed that compared with the Model group, M-SYFSF significantly reduced 24h urine albumin, UACR, and serum creatinine levels (54.90 ± 26.67 vs. 111.78 ± 4.28, 8.87 ± 1.69 vs. 53.94 ± 16.01, 11.56 ± 1.70 vs. 118.70 ± 49.57, respectively), and improved renal pathological changes. Furthermore, the intervention of M-SYFSF reduced the expression of pro-inflammatory cytokines and inhibited the activation of MAPK pathway in AGEs-treated HK-2 cells. DISCUSSION AND

conclusionM-SYFSF is likely to reduce inflammation in DN by inhibiting the MAPK pathway. It provides a theoretical basis for the clinical application of M-SYFSF in the treatment of DN.

Indexed as

Diabetes Mellitus, ExperimentalDiabetic NephropathiesDrugs, Chinese HerbalAnimalsGlycation End Products, AdvancedHumansMaleNetwork PharmacologyRatsRats, Sprague-DawleyDrugs, Chinese HerbalGlycation End Products, AdvancedinflammationMAPK signaling pathwayprotein-protein interaction networkTraditional Chinese medicine formula

Identifiers

PMID37565668
PMCPMC10424623
OpenAlexW4385751925

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.