JOURNAL ARTICLE
Saw Palmetto Extract Ameliorates Benign Prostatic Hyperplasia by Regulating 5α‐Reductase and Apoptosis In Vitro and In Vivo.
Published In: LUTS (1757-5664), 2025, v. 17, n. 3. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Zhang, Bo; Wang, Hui; Ma, Tianyu; Yang, Jiangang 3 of 3
Abstract
Objectives: The therapeutic effect of saw palmetto extract (SPE) in benign prostatic hyperplasia (BPH) has been evaluated in clinical trials. However, the molecular mechanisms of SPE in BPH development are not fully understood. Methods: LNCap cell line treated with dihydrotestosterone (DHT) and SD rats induced with testosterone were used, respectively. TUNEL and Muse Cell Analyzer for apoptosis and CCK8 assay for cell viability were performed to investigate the effects of SPE against BPH. Histological changes were examined by HE staining. Protein expression was analyzed for AR, PSA, SRC‐1, and 5AR2 by Western blot, and the levels of DHT and testosterone in rat serum were quantified by ELISA. Results: SPE treatment could accelerate the apoptosis of cells and decrease the expressions of TNF‐α, IL‐1β and IL‐18. TUNEL staining revealed an increase in positive staining after SPE treatment. Rats treated with SPE exhibited a reduction in prostate weight. SPE treatment led to a decrease in serum DHT and testosterone levels. SPE treatment significantly reduced the protein levels of AR, PSA, SRC‐1, and 5AR2 in vitro and in vivo. Conclusions: SPE possesses anti‐proliferative and pro‐apoptotic effects by inhibiting 5α‐reductase and DHT expression in vitro and in vivo, thereby mitigating the progression of BPH. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:LUTS (1757-5664). 2025/05, Vol. 17, Issue 3, p1
- Document Type:Article
- Subject Area:Health and Medicine
- Publication Date:2025
- ISSN:1757-5664
- DOI:10.1111/luts.70015
- Accession Number:185525148
- Copyright Statement:Copyright of LUTS (1757-5664) is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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