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| Autor(es): Mostrar menos - |
Camelo, Andre Luiz Melo
;
de Oliveira, Andre Matos
;
Zamora-Obando, Hans Rolando
;
Dias, Aline Cristina
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Lopes, Thais de Assis
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Oliveira, Regina Vincenzi
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Farah, Joao Pedro Simon
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Tavares, Marina Franco Maggi
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Tavares, Maggi
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Antunes, Alberto Azoubel
;
Valeria, Ana
;
Simionato, Colnaghi
Número total de Autores: 12
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| Tipo de documento: | Artigo Científico |
| Fonte: | METABOLOMICS; v. 21, n. 4, p. 14-pg., 2025-06-19. |
| Resumo | |
IntroductionPopulation aging is increasing rapidly, representing a global trend that has launched many discussions regarding older adult's quality of life. Benign prostatic hyperplasia (BPH) is a commonly found condition among older men, affecting the lower urinary tract and quality of life. BPH diagnosis typically involves clinical evaluations which cannot accurately identify patients who will develop a clinically significant disease in the future. Metabolomics emerges as a promising approach to understand the metabolic pathways associated with BPH, offering potential aid in early diagnosis.ObjectivesTo investigate the metabolic profile of BPH patients compared with a control group for diagnosing BPH at different stages.MethodA total of 62 individuals were selected and divided into two groups: 32 BPH (prostate volume > 40 mL) and 30 healthy individuals (prostate volume <= 40 mL and normal voiding patterns). Plasma samples were analyzed by LC-HRMS. Data were processed using unsupervised and supervised techniques. Self-organizing maps were further used to aid in the identification of potential biomarkers.ResultsSelf-organizing maps revealed three distinct groups which expanded upon the existing groups indicated by the medical team. Discriminant analysis models showed good predictive ability and accuracy, providing a classification perspective of patients and expanding diagnostic possibilities for different health states. Integration of chemical data with clinical variables revealed meaningful correlations. Our results also suggest the presence of discriminatory metabolites related to inflammation and oxidation processes, clarifying the metabolic basis of BPH.ConclusionSelf-organizing maps proved their effectiveness in classifying groups of samples from BPH patients, revealing potential biomarkers that went undetected by conventional data analysis methods. This approach underscores metabolomics as a relevant tool in identifying hidden patterns and supporting the development of more robust diagnostic and prognostic models. (AU) | |
| Processo FAPESP: | 14/50244-6 - UHPLC acoplado a espectrômetro de massa do tipo híbrido com analisador quadrupolar e time of flight |
| Beneficiário: | Quezia Bezerra Cass |
| Modalidade de apoio: | Auxílio à Pesquisa - Programa Equipamentos Multiusuários |
| Processo FAPESP: | 20/16089-4 - Metabolômica global de neuropatias inflamatórias: busca de biomarcadores de diagnóstico e prognóstico |
| Beneficiário: | Ana Valéria Colnaghi Simionato |
| Modalidade de apoio: | Auxílio à Pesquisa - Regular |
| Processo FAPESP: | 17/27059-6 - Expansão da cobertura metabólica utilizando cromatografia iônica acoplada à espectrometria de massas nos estudos metabolômicos de terapias imunossupressoras no transplante renal |
| Beneficiário: | Marina Franco Maggi Tavares |
| Modalidade de apoio: | Auxílio à Pesquisa - Regular |
| Processo FAPESP: | 20/05965-8 - Estratégias metabolômicas baseadas em LC-HRMS para investigação de potenciais biomarcadores para diagnóstico clínico - Fase I |
| Beneficiário: | Regina Vincenzi Oliveira |
| Modalidade de apoio: | Auxílio à Pesquisa - Regular |