Navegando por Palavras-chave "MALDI-MS"
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- ItemSomente MetadadadosLipid profiling of follicular fluid from women undergoing IVF: Young poor ovarian responders versus normal responders(Informa Healthcare, 2013-01-01) Cataldi, Thais [UNIFESP]; Cordeiro, Fernanda Bertuccez [UNIFESP]; Teixeira da Costa, Livia Do Vale [UNIFESP]; Pilau, Eduardo Jorge; Ferreira, Christina Ramires; Gozzo, Fabio Cesar; Eberlin, Marcos Nogueira; Bertolla, Ricardo Pimenta [UNIFESP]; Cedenho, Agnaldo Pereira [UNIFESP]; Lo Turco, Edson Guimaraes [UNIFESP]; Universidade Federal de São Paulo (UNIFESP); Universidade Estadual de Campinas (UNICAMP); Jardim Univ MaringaThis study identified possible lipid biomarkers in follicular fluid from women with poor ovarian response. These biomarkers indicate pathophysiological pathways and have potential diagnostic applications. An observational case-control study of young women undergoing ovarian stimulation for in-vitro fertilization was conducted. the participants were categorized into a poor ovarian response group and a normal ovarian response to stimulation group. All of the women underwent the same ovarian stimulation protocol, and follicular fluid was collected after ovarian aspiration. Analyses were performed using matrix-assisted laser desorption/ionization mass spectrometry. Principal component analysis and Volcano plots were used to describe follicular fluid classification models based on the lipid profiles. A total of 10 lipids were differentially expressed between the study and control groups. of these lipid ions, three belonged to the phosphatidylcholine subclass and were present in higher concentrations in the control group. the other seven differential lipids were present in the study group and classified into four lipid subclasses: phosphatidylethanolamines, phosphatidylglycerols, phosphatidylinositols, and diacylglycerols. These distinctive lipids may be involved in hormonal responses and oocyte development processes and may be useful as biomarkers for therapeutic intervention in women with poor ovarian response.
- ItemSomente MetadadadosPlasma Lipidomic Fingerprinting to Distinguish among Hepatitis C-related Hepatocellular Carcinoma, Liver Cirrhosis, and Chronic Hepatitis C using MALDI-TOF Mass Spectrometry: a Pilot Study(Medical Univ Press, 2015-03-01) Passos-Castilho, Ana Maria [UNIFESP]; Lo Turco, Edson [UNIFESP]; Ferraz, Maria Lucia [UNIFESP]; Matos, Carla [UNIFESP]; Silva, Ivonete [UNIFESP]; Parise, Edison [UNIFESP]; Pilau, Eduardo; Gozzo, Fabio; Granato, Celso [UNIFESP]; Universidade Federal de São Paulo (UNIFESP); Universidade Estadual de Campinas (UNICAMP); Univ MaringaBackground & Aims: Hepatitis C (HC) is a major cause of hepatocellular carcinoma (HCC), and a late diagnosis is the main factor for the poor survival of patients. There is an urgent need for identifying sensitive and specific biomarkers for HCC diagnosis. In the present study, plasma lipid patterns of patients with HCHCC, HC-liver cirrhosis (LC), and chronic HC (CHC) were assessed by matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS).Methods. Plasma samples of 25 patients with HC-HCC, 15 patients with HC-LC, and 25 patients with CHC were evaluated by MALDI-MS using a Q-ToF premier (Synapt) mass spectrometer (Waters, Manchester, UK) equipped with a 200-Hz solid-state laser in the mass range between m/z (mass-to-charge ratio) of 700-1200.Results. A total of 2205 ions were initially obtained and 7 ions (m/z) were highlighted as corresponding to the most important lipids to differentiate HCC patients from LC and CHC patients. The specific lipidomic expression signature generated resulted in an overall predictive accuracy of 93% of HC-HCC and HC-LC, and 100% of HC-HCC and CHC. The 7-peak algorithm distinguished HCC from LC with a sensitivity of 96% and a specificity of 87%, and HCC from CHC with both sensitivity and specificity of 100%.Conclusion. MALDI-MS-specific signature peaks accurately distinguished patients with HC-HCC from those with FIC-LC and CHC. The results indicate the potential of MALDI-MS and the selected peaks to improve HCC surveillance in patients with viral C cirrhosis and chronic hepatitis C.