Evidence map›Paper›PMID 35669284›Full record

ArticleDrug design, development and therapy2022

Astragaloside IV Alleviates Renal Tubular Epithelial-Mesenchymal Transition via CX3CL1-RAF/MEK/ERK Signaling Pathway in Diabetic Kidney Disease.

Yonghui Hu, Wangna Tang, Wenjie Liu, Zhibo Hu, Congqing Pan

Open access · goldAbstract read
In one paragraph

Article in Drug design, development and therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
5.6field-weighted citation impact, top 3% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

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  18. Pharmacological Effects of Astragaloside IV: A Review.Molecules (Basel, Switzerland) · 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

5 authors at 1 institution in 1 country.

Yonghui Hu *NHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, People's Republic of China.
Wangna Tang *NHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, People's Republic of China.
Wenjie LiuNHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, People's Republic of China.
Zhibo HuNHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, People's Republic of China.
Congqing PanNHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, People's Republic of China.ORCID 0000-0001-6532-4928
Tianjin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Epithelial-mesenchymal transition (EMT) plays an important role in interstitial matrix deposition and renal fibrosis in diabetic kidney disease (DKD). It has been verified that Astragaloside IV (AS-IV) is beneficial for ameliorating DKD. However, the underlying mechanisms of AS-IV on regulating EMT in DKD are yet to be established. Accumulated evidence has suggested that C-X3-C motif ligand 1 (CX3CL1) plays a significant role in the progression of EMT. Purpose: We aimed to investigate whether AS-IV could alleviate EMT by regulating CX3CL1 in DKD and reveal its underlying mechanisms. Methods: For the in vivo study, mice were divided into the following five groups (n=10): db/m+vehicle, db/db+vehicle, db/db+AS-IV-L (10mg/kg/d), db/db+AS-IV-M (20mg/kg/d), db/db+AS-IV-H (40mg/kg/d). After 12 weeks of treatment, the renal injuries were assessed based on the related parameters of urine, blood and histopathological examination. Immunohistochemistry and Western blotting were used to detect relative proteins levels. Then in HK-2 cells, the molecular mechanism of AS-IV attenuating the EMT in mice with DKD through the CX3CL1-RAF/MEK/ERK pathway was studied. Results: In the present study, we found that AS-IV reduced urinary protein levels and improved renal pathological damage in DKD mice. Moreover, AS-IV ameliorated the renal tubular EMT induced by hyperglycemia or high glucose (HG), and decreased the expression of CX3CL1 and inhibited the activation of the RAF/MEK/ERK pathway in vivo and in vitro. In HK-2 cells, downregulation of CX3CL1 suppressed the stimulation of the RAF/MEK/ERK pathway and EMT induced by HG. However, CX3CL1 overexpression eliminated the benefits of AS-IV on the RAF/MEK/ERK pathway and EMT. Conclusion: In summary, we indicated that AS-IV alleviates renal tubular EMT through the CX3CL1-RAF/MEK/ERK signaling pathway, indicating that CX3CL1 could be a potential therapeutic target of AS-IV in DKD.

Indexed as

Diabetes MellitusDiabetic NephropathiesHyperglycemiaAnimalsChemokine CX3CL1Epithelial-Mesenchymal TransitionFibrosisMAP Kinase Signaling SystemMiceMitogen-Activated Protein Kinase KinasesSaponinsSignal TransductionTriterpenesastragaloside AChemokine CX3CL1Cx3cl1 protein, mouseMitogen-Activated Protein Kinase KinasesSaponinsTriterpenesAstragaloside IVCX3CL1diabetic kidney diseaseepithelial–mesenchymal transitionrenal fibrosis

Identifiers

PMID35669284
PMCPMC9166910
OpenAlexW4281836749

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.