Time Evolution of Bacterial Resistance Observed with Principal Component Analysis

Autor(es)

Barrera Patino, Claudia P. ; Bonner, Mitchell ; Borsatto, Andrew Ramos ; Soares, Jennifer M. ; Blanco, Kate C. ; Bagnato, Vanderlei S.

• Tipo de documento: Artigo Científico
• Fonte: ANTIBIOTICS-BASEL; v. 14, n. 7, p. 20-pg., 2025-07-20.

Resumo

Background/Objectives: In recent work, we have demonstrated that principal component analysis (PCA) and Fourier Transformation Infrared (FTIR) spectra are powerful tools for analyzing the changes in microorganisms at the biomolecular level to detect changes in bacteria with resistance to antibiotics. Here biochemical structural changes in Staphylococcus aureus were analyzed over exposure time with the goal of identifying trends inside the samples that have been exposed to antibiotics for increasing amounts of time and developed resistance. Methods: All studied data was obtained from FTIR spectra of samples with induced antibiotic resistance to either Azithromycin, Oxacillin, or Trimethoprim/Sulfamethoxazole following the evolution of this development over four increasing antibiotic exposure periods. Results: The processing and data analysis with machine learning algorithms performed on this FTIR spectral database allowed for the identification of patterns across minimum inhibitory concentration (MIC) values associated with different exposure times and both clusters from hierarchical classification and PCA. Conclusions: The results enable the observation of resistance development pathways for the sake of knowing the present stage of resistance of a bacterial sample. This is carried out via machine learning methods for the purpose of faster and more effective infection treatment in healthcare settings. (AU)

• Processo FAPESP: 14/50857-8 - INCT 2014 - de Óptica Básica e Aplicada às Ciências da Vida
• Beneficiário: Vanderlei Salvador Bagnato
• Modalidade de apoio: Auxílio à Pesquisa - Temático
• Processo FAPESP: 24/00100-0 - Combate da resistência antimicrobiana em bactérias multirresistentes por ação fotodinâmica
• Beneficiário: Jennifer Machado Soares
• Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado
• Processo FAPESP: 23/17384-8 - Identificação da Resistência de Bactérias a Antibióticos por Meio de Absorção de Grupos Bioquímicos Específicos com Implementação de Algoritmos de Aprendizado de Máquina.
• Beneficiário: Claudia Patricia Barrera Patiño
• Modalidade de apoio: Bolsas no Brasil - Programa Capacitação - Treinamento Técnico
• Processo FAPESP: 13/07276-1 - CEPOF - Centro de Pesquisa em Óptica e Fotônica
• Beneficiário: Vanderlei Salvador Bagnato
• Modalidade de apoio: Auxílio à Pesquisa - Centros de Pesquisa, Inovação e Difusão - CEPIDs