Evidence map›Paper›PMID 37580684›Full record

ArticleBMC complementary medicine and therapies2023

Integrated multi-omics and bioinformatic methods to reveal the mechanisms of sinomenine against diabetic nephropathy.

Yan Li, Lei Wang, Jimin Zhang, Bojun Xu, Huakui Zhan

Open access · goldAbstract read
In one paragraph

Article in BMC complementary medicine and therapies, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Illuminating diabetesWorld journal of diabetes · 2025
    Review
  2. Review
  3. Frontiers in pharmacology · 2025
    Review
  4. Article
  5. 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

5 authors at 4 institutions in 1 country.

Yan Li *Department of Rheumatology and Clinical Immunology, The First Affiliated Hospital of Xiamen University, Xiamen, 117892, Fujian, China.
Lei Wang *Key Laboratory of Chinese Internal Medicine of Ministry of Education and Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100700, China.
Jimin ZhangDepartment of Rheumatology and Clinical Immunology, The First Affiliated Hospital of Xiamen University, Xiamen, 117892, Fujian, China.
Bojun Xu *Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610072, Sichuan, China. bojunxu@cdutcm.edu.cn.
Huakui Zhan *Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610072, Sichuan, China. zhanhuak@cdutcm.edu.cn.
Chengdu University of Traditional Chinese Medicine · CNBeijing University of Chinese Medicine · CNFirst Affiliated Hospital of Xiamen University · CNXiamen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesDiabetic Nephropathy (DN) is a serious complication of diabetes, the diagnosis and treatment of DN is still limited. Sinomenine (SIN) is an active extract of herbal medicine and has been applied into the therapy of DN.

methodsIn the part of bioinformatic analyses, network pharmacology and molecular docking analyses were conducted to predict the important pathway of SIN treatment for DN. In-vivo study, DN rats were randomized to be treated with vehicle or SIN (20 mg/kg or 40 mg/kg) daily by gavage for 8 weeks. Then, the pharmacological effect of SIN on DN and the potential mechanisms were also evaluated by 24 h albuminuria, histopathological examination, transcriptomics, and metabolomics.

resultsFirstly, network pharmacology and molecular docking were performed to show that SIN might improve DN via AGEs/RAGE, IL-17, JAK, TNF pathways. Urine biochemical parameters showed that SIN treatment could significantly reduce 24 h albuminuria of DN rats. Transcriptomics analysis found SIN could affect DN progression via inflammation and EMT pathways. Metabolic pathway analysis found SIN would mainly involve in arginine biosynthesis, linoleic acid metabolism, arachidonic acid metabolism, and glycerophospholipid metabolism to affect DN development.

conclusionsWe confirmed that SIN could inhibit the progression of DN via affecting multiple genes and metabolites related pathways.

Indexed as

Diabetes MellitusDiabetic NephropathiesAlbuminuriaAnimalsComputational BiologyMolecular Docking SimulationMorphinansMultiomicsRatsMorphinanssinomenineDiabetic nephropathyMetabonomicsNetwork pharmacologySinomenineTranscriptomics

Identifiers

PMID37580684
PMCPMC10424381
OpenAlexW4385806936

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.