Evidence map›Paper›PMID 39487526›Full record

ArticleChinese medicine2024

Protective effect of Huashi Baidu formula against AKI and active ingredients that target SphK1 and PAI-1.

Yute Zhong, Xia Du, Ping Wang, Weijie Li, Cong Xia, Dan Wu, Hong Jiang, Haiyu Xu, Luqi Huang

Abstract read
In one paragraph

Article in Chinese medicine, 2024. 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
–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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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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

9 authors.

Yute ZhongCollege of Chinese Medicinal Materials, Jilin Agricultural University, Changchun, 130118, Jilin, China.
Xia DuInstitute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, 100700, China.
Ping WangInstitute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, 100700, China.
Weijie LiInstitute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, 100700, China.
Cong XiaInstitute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, 100700, China.
Dan WuInstitute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, 100700, China.
Hong JiangInstitute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, 100700, China.
Haiyu XuInstitute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, 100700, China. hyxu@icmm.ac.cn.
Luqi HuangNational Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, 100700, China. huangluqi01@126.com.

Funding

Fundamental Research Funds for the Central Universities ZXKT23008Key project at central government level: The ability establishment of sustainable use for valuable Chinese medicine resources 2060302National Key R&D Program of China 2023YFC2308204National Natural Science Foundation of China 82204711National Natural Science Foundation of China 82304830Scientific and Technological Innovation Project of China Academy of Chinese Medical Sciences CI2023C013YL
6 · The paper itself

Abstract

backgroundHuashi Baidu Formula (HBF) is a clinical formula known for its efficacy against coronavirus disease 2019 (COVID-19). HBF may reduce the number of patients with abnormal serum creatinine while improving respiratory symptoms, suggesting that this formula may have potential for treating acute kidney injury (AKI). However, the protective effect of HBF on AKI has not been definitively confirmed, and the mechanism remains unclear. Therefore, the present study explored the renoprotective effects and molecular mechanisms of HBF and screened for its active ingredients to identify new potential applications of renoprotection by HBF.

methodsThe present study first assessed the protective effects of HBF on AKI in a DOX-induced mouse model. Then, RNA-seq and bioinformatics analyses were used to explore the related pathological processes and potential molecular mechanisms, which were subsequently validated using qRT-PCR and Western blotting. Furthermore, candidate compounds with potential binding affinity to two pivotal targets, sphingosine kinase 1 (SphK1) and plasminogen activator inhibitor-1 (PAI-1), were screened from the 29 constituents present in the blood using Microscale Thermophoresis (MST). Finally, to identify the active ingredients, the candidate components were re-screened using the SphK1 kinase activity detection system or the uPA/PAI-1 substrate colorimetric assay system.

resultsIn the DOX-induced AKI mouse model, therapeutic administration of HBF significantly reduced the levels of CRE, BUN, TNF-α, IL-1β, IL-6, and UA in plasma and the levels of MDA, T-CHO, and TG in kidney tissue. Additionally, the levels of TP and Alb in plasma and SOD and CAT in the kidney tissue were significantly increased. Histopathological assessment revealed that HBF reduced tubular vacuolation, renal interstitial inflammatory cell infiltration, tubular atrophy, and positive staining of renal interstitial collagen. RNA-seq and bioinformatics analyses showed that oxidative stress, the immune-inflammatory response, and extracellular matrix (ECM) formation could be the pathological processes that HBF targets to exerts its renoprotective effects. Furthermore, HBF regulated the APJ/SPHK1/NF-κB and APJ/PAI-1/TGFβ signaling axes and reduced the phosphorylation levels of NF-κB p65 and SMAD2 and the expression of cytokines and the ECM downstream of the axis. Finally, six SphK1 inhibitors (paeoniflorin, astragalin, emodin, glycyrrhisoflavone, quercetin, and liquiritigenin) and three PAI-1 inhibitors (glycyrrhisoflavone, licochalcone B, and isoliquiritigenin) were identified as potentially active ingredients in HBF.

conclusionIn brief, our investigation underscores the renoprotective effect of HBF in a DOX-induced AKI model mice, elucidating its mechanisms through distinct pathological processes and identifying key bioactive compounds. These findings offer new insights for broadening the clinical applications of HBF and unravelling its molecular mode of action.

Indexed as

Active ingredientsAcute kidney injuryHuashi BaiduMolecular mechanism

Identifiers

PMID39487526
PMCPMC11529477

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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.