Evidence map›Paper›PMID 40877955›Full record

ArticleJournal of translational medicine2025

PHPT1 acts as an inhibitor in high-altitude pulmonary hypertension via negative TRPV5 signaling regulation.

Ge Guo, Ming-Xiang Zhu, Xiang Xu, Xin Li, Yi-Bing Chen, Yan-Ying Shen, Han-Lu Li, Li-Ting Cheng, Kun-Lun He, Yong-Ming Yao and 1 more

Abstract read
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Article in Journal of translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Ge Guo *Medical Innovation Research Division of the Chinese PLA General Hospital, Beijing, 100853, China.
Ming-Xiang Zhu *Graduate School, The Chinese PLA General Hospital, Beijing, 100853, China.
Xiang XuMedical Innovation Research Division of the Chinese PLA General Hospital, Beijing, 100853, China.
Xin LiMedical Innovation Research Division of the Chinese PLA General Hospital, Beijing, 100853, China.
Yi-Bing ChenMedical Innovation Research Division of the Chinese PLA General Hospital, Beijing, 100853, China.
Yan-Ying ShenMedical Innovation Research Division of the Chinese PLA General Hospital, Beijing, 100853, China.
Han-Lu LiMedical Innovation Research Division of the Chinese PLA General Hospital, Beijing, 100853, China.
Li-Ting ChengGraduate School, The Chinese PLA General Hospital, Beijing, 100853, China.
Kun-Lun HeMedical Innovation Research Division of the Chinese PLA General Hospital, Beijing, 100853, China. kunlunhe@plagh.org.
Yong-Ming YaoMedical Innovation Research Division of the Chinese PLA General Hospital, Beijing, 100853, China. c_ff@sina.com.
Chun-Lei LiuMedical Innovation Research Division of the Chinese PLA General Hospital, Beijing, 100853, China. chunleiliu87@163.com.

Funding

National Natural Science Foundation of China 82101966
6 · The paper itself

Abstract

backgroundLow barometric pressure hypoxia at high altitudes triggers vascular remodeling, resulting in high-altitude pulmonary hypertension (HAPH). The key step is the transformation of pulmonary artery smooth muscle cells (PASMCs) from a contractile to synthetic phenotype. Protein kinases and phosphatases contribute to phenotype transformation by altering phosphorylated protein expression.

objectivesIn this study, we aimed to investigate the role of phosphohistidine phosphatase 1 (PHPT1) in PASMC transformation and its regulatory pathway in HAPH.

methodsAn HAPH model was constructed in wild-type, PHPT1

resultsPHPT1 protein expression was downregulated in HAPH, and its knockdown impaired cardiopulmonary functions, including elevated mean pulmonary artery pressure (mPAP), right ventricular systolic pressure (RVSP), and increased right ventricular thickness, and enhanced PASMC proliferation and migration. PHPT1 directly interacted with TRPV5 phosphorylation sites, whereas Asp30Ala/Arg157Ala functioned to prevent this interaction. PHPT1 overexpression protected against cardiopulmonary damage, reducing mPAP, RVSP, the D/W ratio, and MWT%. Additionally, PHPT1 overexpression mitigated PASMC proliferation and migration, resulting in restored TRPV5, p-Akt, p-SMAD2/3, and p-TGF-β expression under hypoxic conditions.

conclusionsThese findings underscore that PHPT1 inhibits PASMC proliferation and migration through TRPV5 signaling, thereby reducing mPAP and improving right ventricular function in HAPH. Therefore, PHPT1 targeting could potentially contribute to the development of novel therapeutic approaches for treating HAPH.

Indexed as

AltitudeAltitude SicknessHypertension, PulmonarySignal TransductionTRPV Cation ChannelsAnimalsCell MovementCell ProliferationMaleMyocytes, Smooth MusclePhosphorylationPulmonary ArteryRatsRats, Sprague-DawleyTRPV Cation ChannelsCa2+ signalingHigh-altitude pulmonary hypertensionPHPT1TRPV5 signaling

Identifiers

PMID40877955
PMCPMC12395715

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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.