Evidence map›Paper›PMID 36864834›Full record

ArticleFrontiers in endocrinology2023

Network pharmacology and experimental validation to elucidate the pharmacological mechanisms of Bushen Huashi decoction against kidney stones.

Haizhao Liu, Min Cao, Yutong Jin, Beitian Jia, Liming Wang, Mengxue Dong, Lu Han, Joseph Abankwah, Jianwei Liu, Tao Zhou and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.6field-weighted citation impact, top 10% 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, 10 citations in OpenAlex.

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  8. Unraveling the Antioxidant Activity ofInternational journal of molecular sciences · 2023
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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

13 authors at 1 institution in 1 country.

Haizhao LiuSchool of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Min CaoSchool of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Yutong JinSchool of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Beitian JiaSchool of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Liming WangState Key Laboratory of Component-Based Chinese Medicine, Tianjin Key Laboratory of TCM Chemistry and Analysis, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Mengxue DongSchool of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Lu HanSchool of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Joseph AbankwahSchool of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Jianwei LiuSchool of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Tao ZhouSchool of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Baogui ChenWuqing Hospital of Traditional Chinese Medicine Affiliated with Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Yiyang WangSchool of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Yuhong BianSchool of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Tianjin University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Kidney stone disease (KS) is a complicated disease with an increasing global incidence. It was shown that Bushen Huashi decoction (BSHS) is a classic Chinese medicine formula that has therapeutic benefits for patients with KS. However, its pharmacological profile and mechanism of action are yet to be elucidated. Methods: The present study used a network pharmacology approach to characterize the mechanism by which BSHS affects KS. Compounds were retrieved from corresponding databases, and active compounds were selected based on their oral bioavailability (≥30) and drug-likeness index (≥0.18). BSHS potential proteins were obtained from the Traditional Chinese Medicine Systems Pharmacology (TCMSP) database, whereas KS potential genes were obtained from GeneCards and OMIM, TTD, and DisGeNET. Gene ontology and pathway enrichment analysis were used to determine potential pathways associated with genes. The ingredients of BSHS extract were identified by the ultra-high-performance liquid chromatography coupled with quadrupole orbitrap mass spectrometry (UHPLC-Q/Orbitrap MS). The network pharmacology analyses predicted the potential underlying action mechanisms of BSHS on KS, which were further validated experimentally in the rat model of calcium oxalate kidney stones. Results: Our study found that BSHS reduced renal crystal deposition and improved renal function in ethylene glycol(EG)+ammonium chloride(AC)-induced rats, and also reversed oxidative stress levels and inhibited renal tubular epithelial cell apoptosis in rats. BSHS upregulated protein and mRNA expression of E2, ESR1, ESR2, BCL2, NRF2, and HO-1 in EG+AC-induced rat kidney while downregulating BAX protein and mRNA expression, consistent with the network pharmacology results. Discussion: This study provides evidence that BSHS plays a critical role in anti-KS

Indexed as

Kidney CalculiNetwork PharmacologyAnimalsNF-E2-Related Factor 2Proto-Oncogene Proteins c-bcl-2RatsRNA, MessengerNF-E2-Related Factor 2Proto-Oncogene Proteins c-bcl-2RNA, MessengerBushen Huashi decoctionChinese medicine formulacrystal depositionkidney stonenetwork pharmacology

Identifiers

PMID36864834
PMCPMC9971497
OpenAlexW4320724012

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.