Cargando…

Aromatic amino acids play a harmonizing role in prostate cancer: A metabolomics-based cross-sectional study

BACKGROUND: Prostate cancer (PCa) is a common health problem worldwide. The rate of this disease is likely to grow by 2021. PCa is a heterogeneous disorder, and various biochemical factors contribute to the development of this disease. The metabolome is the complete set of metabolites in a cell or b...

Descripción completa

Detalles Bibliográficos
Autores principales: Akbari, Ziba, Dijojin, Roghayeh Taghipour, Zamani, Zahra, Hosseini, Reza Haji, Arjmand, Mohammad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Knowledge E 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8458921/
https://www.ncbi.nlm.nih.gov/pubmed/34568735
http://dx.doi.org/10.18502/ijrm.v19i8.9622
Descripción
Sumario:BACKGROUND: Prostate cancer (PCa) is a common health problem worldwide. The rate of this disease is likely to grow by 2021. PCa is a heterogeneous disorder, and various biochemical factors contribute to the development of this disease. The metabolome is the complete set of metabolites in a cell or biological sample and represents the downstream end product of the omics. Hence, to model PCa by computational systems biology, a preliminary metabolomics-based study was used to compare the metabolome profile pattern between healthy and PCa men. OBJECTIVE: This study was carried out to highlight energy metabolism modification and assist the prognosis and treatment of disease with unique biomarkers. MATERIALS AND METHODS: In this cross-sectional research, 26 men diagnosed with stage-III PCa and 26 healthy men with normal PSA levels were enrolled. Urine was analyzed with proton nuclear magnetic resonance ([Formula: see text] H-NMR) spectroscopy, accompanied by the MetaboAnalyst web-based platform tool for metabolomics data analysis. Partial least squares regression discriminant analysis was applied to clarify the separation between the two groups. Outliers were documented and metabolites determined, followed by identifying biochemical pathways. RESULTS: Our findings reveal that modifications in aromatic amino acid metabolism and some of their metabolites have a high potential for use as urinary PCa biomarkers. Tryptophan metabolism (p [Formula: see text] 0.001), tyrosine metabolism (p [Formula: see text] 0.001), phenylalanine, tyrosine and tryptophan biosynthesis (p [Formula: see text] 0.001), phenylalanine metabolism (p = 0.01), ubiquinone and other terpenoid-quinone biosynthesis (p = 0.19), nitrogen metabolism (p = 0.21), and thiamine metabolism (p = 0.41) with Q [Formula: see text] (0.198) and R [Formula: see text] (0.583) were significantly altered. CONCLUSION: The discriminated metabolites and their pathways play an essential role in PCa causes and harmony.