Evidence map›Paper›PMID 39981089›Full record

ArticleFrontiers in medicine2025

Clinical study, network pharmacology, and molecular docking of Kunxian capsule in treating idiopathic membranous nephropathy.

Jia Lv, Xinyu Gao, Lihua Liu, Libing He, Geng Tian, Xuehong Lu

Abstract read
In one paragraph

Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

6 authors.

Jia LvDepartment of Nephrology, The Second Hospital of Jilin University, Changchun, China.
Xinyu GaoDepartment of Nephrology, The Second Hospital of Jilin University, Changchun, China.
Lihua LiuDepartment of Nephrology, The Second Hospital of Jilin University, Changchun, China.
Libing HeDepartment of Nephrology, The Second Hospital of Jilin University, Changchun, China.
Geng TianDepartment of Gynecology and Obstetrics, The Second Hospital of Jilin University, Changchun, China.
Xuehong LuDepartment of Nephrology, The Second Hospital of Jilin University, Changchun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: A new Methods: We conducted a retrospective study of 39 patients with IMN who received KX to investigate its efficacy and side effects of KX in treating IMN. We also used network pharmacology and molecular docking methods to explore the potential mechanism of action of KX in IMN. Results: In patients with IMN receiving KX treatment, 24 h urine protein was markedly decreased, whereas serum albumin levels increased. The overall clinical response rate was 79.49% after 6 months of treatment, and there were no significant adverse events. Quercetin, luteolin and kaempferol were the main bioactive ingredients of KX in treating IMN. AKT1, IL6, and TNF were core targets. The main potential mechanism of KX in treating IMN were pathways involved in cancer, the AGE-RAGE signaling pathway in diabetic complications, lipid and atherosclerosis. Molecular docking results showed that the binding force between the active ingredient and core target was relatively stable. Conclusion: KX is a safe and effective treatment option for IMN and can effectively improve serum albumin and 24 h urine protein levels in patients with IMN. This study preliminarily reveals the possible mechanism of KX in the treatment of IMN and provides a theoretical basis for future clinical research.

Indexed as

clinical studyidiopathic membranous nephropathyKunxian capsulemolecular dockingnetwork pharmacology

Identifiers

PMID39981089
PMCPMC11839627

What OpenQuestion holds

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Registered trials

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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.