Effects of Alginate Oligosaccharide on Testosterone-Induced Benign Prostatic Hyperplasia in Orchiectomized Rats.
You-Jee JangHye-Yeon JungJu-Yeong MyeongKwang Hoon SongJoseph KwonDuwoon KimJae-Il ParkPublished in: Nutrients (2023)
Benign prostatic hyperplasia (BPH) is an age-related disease of the urinary system that affects elderly men. Current treatments for BPH are associated with several adverse effects, thus highlighting the need for alternative agents. Alginate oligosaccharide (AOS), a water-soluble functional oligomer derived from brown algae, inhibits prostate cancer cell proliferation. However, the effects of AOS on BPH and the underlying molecular mechanisms remain unclear. Therefore, here, we aimed to investigate the therapeutic potential of AOS in BPH by using human benign prostatic epithelial cells (BPH-1) and a rat model of testosterone-induced BPH. Treatment with AOS inhibited in vitro and in vivo proliferation of prostatic epithelial cells and the testosterone-induced expression of androgen receptor (AR) and androgen-associated genes, such as those encoding 5α-reductase type 2 and prostate-specific antigen. Oral administration of AOS remarkably reduced the serum levels of dihydrotestosterone (DHT) and testosterone as well as the expression of proliferating cell nuclear antigen, inflammatory cytokines, and enzymes, which showed increased levels in prostatic tissues of rats with testosterone-induced BPH. Taken together, these data demonstrate that AOS suppresses testosterone-induced BPH in rats by downregulating AR and the expression of androgen-associated genes, supporting the hypothesis that AOS might be of potential use for the treatment of BPH.
Keyphrases
- benign prostatic hyperplasia
- lower urinary tract symptoms
- high glucose
- replacement therapy
- prostate cancer
- diabetic rats
- cell proliferation
- poor prognosis
- endothelial cells
- drug induced
- signaling pathway
- gene expression
- mesenchymal stem cells
- stem cells
- risk assessment
- genome wide
- dna methylation
- cell therapy
- climate change
- smoking cessation
- bone marrow
- cell cycle
- artificial intelligence
- data analysis
- bioinformatics analysis
- genome wide identification