Evidence map›Paper›PMID 40236300›Full record

ArticleDrug design, development and therapy2025

Elucidating the Differential Mechanisms of Jingui Shenqi Pill and Mingmu Dihuang Pill in the Treatment of Diabetic Nephropathy Based on Yin-Yang Theory.

Shijie Bi, Zhenzhen Xu, Anlei Yuan, Zewen Wang, Yanxia Liu, Bin Yu, Jiaye Tian, Chaoqun Liu, Liansheng Qiao, Zhibin Wang and 1 more

Abstract read
In one paragraph

Article in Drug design, development and therapy, 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
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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

11 authors.

Shijie Bi *Key Laboratory of TCM-information Engineer of State Administration of TCM, School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, 102488, People's Republic of China.
Zhenzhen Xu *Key Laboratory of TCM-information Engineer of State Administration of TCM, School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, 102488, People's Republic of China.
Anlei YuanKey Laboratory of TCM-information Engineer of State Administration of TCM, School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, 102488, People's Republic of China.
Zewen WangKey Laboratory of TCM-information Engineer of State Administration of TCM, School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, 102488, People's Republic of China.
Yanxia LiuKey Laboratory of TCM-information Engineer of State Administration of TCM, School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, 102488, People's Republic of China.
Bin YuKey Laboratory of TCM-information Engineer of State Administration of TCM, School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, 102488, People's Republic of China.
Jiaye TianKey Laboratory of TCM-information Engineer of State Administration of TCM, School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, 102488, People's Republic of China.
Chaoqun LiuKey Laboratory of TCM-information Engineer of State Administration of TCM, School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, 102488, People's Republic of China.
Liansheng QiaoKey Laboratory of TCM-information Engineer of State Administration of TCM, School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, 102488, People's Republic of China.
Zhibin WangBeijing Tong Ren Tang Technology Development Co., Ltd, Beijing, 100000, People's Republic of China.
Yanling ZhangKey Laboratory of TCM-information Engineer of State Administration of TCM, School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, 102488, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The Yin-Yang attributes of MMDH and JGSQ in treating diabetic nephropathy (DN) remain unexplored. Methods: UPLC-MS identified formula components, network pharmacology analyzed common DN targets, and in vitro renal fibrosis models assessed efficacy. Transcriptomics revealed key pathways, and molecular docking simulated component-target interactions. Results: UPLC-MS confirmed the compositional complexity of MMDH and JGSQ. Network pharmacology indicated their involvement in multiple DN-related pathways. In vitro, JGSQ alleviated fibrosis and enhanced adhesion via FN and E-cad, while MMDH reduced interstitial fibrosis via FN and VIM. Transcriptomics showed JGSQ regulates the TGF-β pathway, and MMDH modulates the TNF pathway. Molecular docking confirmed key components binding to TGFB1 and TNFA. Conclusion: MMDH and JGSQ exhibit distinct chemical compositions, targets, and pathways, underscoring their Yin-Yang regulatory roles in kidney function.

Indexed as

Diabetic NephropathiesDrugs, Chinese HerbalYin-YangAnimalsHumansMolecular Docking SimulationNetwork PharmacologyDrugs, Chinese Herbalshenqidiabetic nephropathyJingui Shenqi pillMingmu Dihuang pillnetwork pharmacologytranscriptomics

Identifiers

PMID40236300
PMCPMC11998986

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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.