Evidence map›Paper›PMID 39566909›Full record

ArticleCell proliferation2025

Targeting Hsp90α to inhibit HMGB1-mediated renal inflammation and fibrosis.

Huizhi Wei, Jinhong Ren, Xiue Feng, Chengxiao Zhao, Yuanlin Zhang, Hongxia Yuan, Fan Yang, Qingshan Li

Abstract read
In one paragraph

Article in Cell proliferation, 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. 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

8 authors.

Huizhi WeiSchool of Pharmacy, Medicinal Basic Research Innovation Center of Chronic Kidney Disease, Ministry of Education, Shanxi Medical University, Taiyuan, China.
Jinhong RenSchool of Pharmacy, Medicinal Basic Research Innovation Center of Chronic Kidney Disease, Ministry of Education, Shanxi Medical University, Taiyuan, China.
Xiue FengSchool of Pharmacy, Medicinal Basic Research Innovation Center of Chronic Kidney Disease, Ministry of Education, Shanxi Medical University, Taiyuan, China.
Chengxiao ZhaoSchool of Pharmacy, Medicinal Basic Research Innovation Center of Chronic Kidney Disease, Ministry of Education, Shanxi Medical University, Taiyuan, China.
Yuanlin ZhangShanxi Key Laboratory of Innovative Drug for the Treatment of Serious Diseases Basing on the Chronic Inflammation, Shanxi University of Chinese Medicine, Taiyuan, China.
Hongxia YuanShanxi Key Laboratory of Innovative Drug for the Treatment of Serious Diseases Basing on the Chronic Inflammation, Shanxi University of Chinese Medicine, Taiyuan, China.
Fan YangSchool of Pharmacy, Medicinal Basic Research Innovation Center of Chronic Kidney Disease, Ministry of Education, Shanxi Medical University, Taiyuan, China.
Qingshan LiSchool of Pharmacy, Medicinal Basic Research Innovation Center of Chronic Kidney Disease, Ministry of Education, Shanxi Medical University, Taiyuan, China.ORCID https://orcid.org/0000-0003-3665-5175

Funding

National Major Science and Technology Projects of China 2018ZX09711001-001-017National Natural Science Foundation of China 82003770Natural Science Foundation of Shanxi Province 201901D211545Natural Science Foundation of Shanxi Province 202403021211185Shanxi Leader Team of Medical Science and Technology Innovations 2020TD02Shanxi Medical University Project CKD-2024-04Shanxi Provincial Key Research and Development Project 202102130501005
6 · The paper itself

Abstract

Renal fibrosis, a terminal manifestation of chronic kidney disease, is characterized by uncontrolled inflammatory responses, increased oxidative stress, tubular cell death, and imbalanced deposition of extracellular matrix. 5,2'-Dibromo-2,4',5'-trihydroxydiphenylmethanone (LM49), a polyphenol derivative synthesized by our group with excellent anti-inflammatory pharmacological properties, has been identified as a small-molecule inducer of extracellular matrix degradation. Nonetheless, the protective effects and mechanisms of LM49 on renal fibrosis remain unknown. Here, we report LM49 could effectively alleviate renal fibrosis and improve filtration function. Furthermore, LM49 significantly inhibited macrophage infiltration, pro-inflammatory cytokine production and oxidative stress. Interestingly, in HK-2 cells induced by tumour necrosis factor alpha under oxygen-glucose-serum deprivation conditions, LM49 treatment similarly yielded a reduced inflammatory response, elevated cellular viability and suppressed cell necrosis and epithelial-to-mesenchymal transition. Notably, LM49 prominently suppressed the high-mobility group box 1 (HMGB1) expression, nucleocytoplasmic translocation and activation. Mechanistically, drug affinity responsive target stability and cellular thermal shift assay confirmed that LM49 could interact with the target heat shock protein 90 alpha family class A member 1 (Hsp90α), disrupting the direct binding of Hsp90α to HMGB1 and inhibiting the nuclear export of HMGB1, thereby suppressing the inflammatory response, cell necrosis and fibrogenesis. Furthermore, molecular docking and molecular dynamic simulation revealed that LM49 occupied the N-terminal ATP pocket of Hsp90α. Collectively, our findings show that LM49 treatment can ameliorate renal fibrosis through inhibition of HMGB1-mediated inflammation and necrosis via binding to Hsp90α, providing strong evidence for its anti-inflammatory and anti-fibrotic actions.

Indexed as

HMGB1 ProteinHSP90 Heat-Shock ProteinsInflammationKidneyAnimalsAnti-Inflammatory AgentsCell LineEpithelial-Mesenchymal TransitionFibrosisHumansMaleMiceMice, Inbred C57BLMolecular Docking SimulationOxidative StressAnti-Inflammatory AgentsHMGB1 ProteinHSP90 Heat-Shock Proteins

Identifiers

PMID39566909
PMCPMC11882747

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.