CARLA RACHEL ONO
Projetos de Pesquisa
Unidades Organizacionais
Instituto do Câncer do Estado de São Paulo, Hospital das Clínicas, Faculdade de Medicina - Médico
LIM/43 - Laboratório de Medicina Nuclear, Hospital das Clínicas, Faculdade de Medicina
LIM/43 - Laboratório de Medicina Nuclear, Hospital das Clínicas, Faculdade de Medicina
5 resultados
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- Brain PET amyloid and neurodegeneration biomarkers in the context of the 2018 NIA-AA research framework: an individual approach exploring clinical-biomarker mismatches and sociodemographic parameters (vol 45, pg 616, 2020)(2020) COUTINHO, Artur Martins; BUSATTO, Geraldo F.; PORTO, Fabio Henrique de Gobbi; FARIA, Daniele de Paula; ONO, Carla Rachel; GARCEZ, Alexandre Teles; SQUARZONI, Paula; DURAN, Fabio Luiz de Souza; OLIVEIRA, Maira Okada de; TRES, Eduardo Sturzeneker; BRUCKI, Sonia Maria Dozzi; FORLENZA, Orestes Vicente; NITRINI, Ricardo; BUCHPIGUEL, Carlos Alberto
- Author response: Insular and anterior cingulate cortex deep stimulation for central neuropathic pain: Disassembling the percept of pain(2020) ANDRADE, Daniel Ciampi de; GALHARDONI, Ricardo; SILVA, Valquiria Aparecida da; GARCIA-LARREA, Luis; DALE, Camila; BAPTISTA, Abrahao F.; BARBOSA, Luciana Mendonca; MENEZES, Luciana Mendes Bahia; SIQUEIRA, Silvia R. D. T. de; VALERIO, Fernanda; ROSI, Jefferson; RODRIGUES, Antonia Lilian de Lima; FERNANDES, Diego Toledo Reis Mendes; SELINGARDI, Priscila Mara Lorencini; MARCOLIN, Marco Antonio; DURAN, Fabio Luis de Souza; ONO, Carla Rachel; LUCATO, Leandro Tavares; FERNANDES, Ana Mercia B. L.; SILVA, Fabio E. F. da; YENG, Lin T.; BRUNONI, Andre R.; BUCHPIGUEL, Carlos A.; TEIXEIRA, Manoel J.
conferenceObject FDG-PET degeneration patterns predict amyloid deposition in Corticobasal Syndrome(2020) PARMERA, J.; COUTINHO, A.; NETO, A.; ONO, C.; ARANHA, M.; BUCHPIGUEL, C.; NITRINI, R.; BARBOSA, E.; BRUCKI, S.- In vivo imaging evidence of poor cognitive resilience to Alzheimer's disease pathology in subjects with very low cognitive reserve from a low-middle income environment(2020) BUSATTO, Geraldo F.; PORTO, Fabio Henrique de Gobbi; FARIA, Daniele de Paula; SQUARZONI, Paula; COUTINHO, Artur Martins; GARCEZ, Alexandre Teles; ROSA, Pedro Gomes Penteado; COSTA, Naomi Antunes da; CARVALHO, Cleudiana Lima; TORRALBO, Leticia; HERNANDES, Jullie Rosana de Almeida; ONO, Carla Rachel; BRUCKI, Sonia Maria Dozzi; NITRINI, Ricardo; BUCHPIGUEL, Carlos Alberto; DURAN, Fabio Luis Souza; FORLENZA, Orestes VicenteINTRODUCTION: Reduced cognitive reserve (CR) due to very low educational (VLE) levels may influence high dementia rates in low-middle income environments, leading to decreased cognitive resilience (RES) to Alzheimers disease (AD) pathology. However, in vivo findings in VLE groups confirming this prediction are lacking. METHODS: Cognitively impaired patients (with clinically defined AD dementia or amnestic mild cognitive impairment) and cognitively unimpaired older adults (n = 126) were recruited for a positron emission tomography (PET) and magnetic resonance imaging (MRI) investigation in Brazil, including 37 VLE individuals (<= 5 years of education). A CR score was generated combining educational attainment and vocabulary knowledge. RES indices to AD pathology were calculated using standardized residuals from linear regression models relating current cognitive performance (episodic memory or overall cognition) to amyloid beta (A beta) burden Pittsburgh compound-B ([11C]PiB-PET). RESULTS: A beta burden was lower in VLE relative to highly-educated subjects (controlling for age, sex, and Mini-Mental Status Exam [MMSE] scores) in the overall cognitively impaired sample, and in dementia subjects when the three clinically defined groups were evaluated separately. In bivariate regression analyses for the overall sample, the RES index based on a composite cognitive score was predicted by CR, socioeconomic status, and hippocampal volume (but not white matter hyperintensities or intracranial volume [ICV]); in the multivariate model, only CR retained significance (and similar results were obtained in the A beta-positive subsample). In the multivariate model for the overall sample using the RES index based on memory performance, CR, hippocampal volume, and ICV were significant predictors, whereas only CR retained significance in A beta-positive subjects. DISCUSSION: Lower CR consistently predicted less resilience to AD pathology in older adults from a low-middle income environment.
- Brain PET amyloid and neurodegeneration biomarkers in the context of the 2018 NIA-AA research framework: an individual approach exploring clinical-biomarker mismatches and sociodemographic parameters(2020) COUTINHO, Artur Martins; BUSATTO, Geraldo F.; PORTO, Fabio Henrique de Gobbi; FARIA, Daniele de Paula; ONO, Carla Rachel; GARCEZ, Alexandre Teles; SQUARZONI, Paula; DURAN, Fabio Luiz de Souza; OLIVEIRA, Maira Okada de; TRES, Eduardo Sturzeneker; BRUCKI, Sonia Maria Dozzi; FORLENZA, Orestes Vicente; NITRINI, Ricardo; BUCHPIGUEL, Carlos AlbertoPurpose [F-18]FDG-PET and [C-11]PIB-PET are validated as neurodegeneration and amyloid biomarkers of Alzheimer's disease (AD). We used a PET staging system based on the 2018 NIA-AA research framework to compare the proportion of amyloid positivity (A+) and hypometabolism ((N)+) in cases of mild probable AD, amnestic mild cognitive impairment (aMCI), and healthy controls, incorporating an additional classification of abnormal [F-18]FDG-PET patterns and investigating the co-occurrence of such with A+, exploring [F-18]FDG-PET to generate hypotheses in cases presenting with clinical-biomarker ""mismatches."" Methods Elderly individuals (N = 108) clinically classified as controls (N = 27), aMCI (N = 43) or mild probable AD (N = 38) were included. Authors assessed their A(N) profiles and classified [F-18]FDG-PET neurodegenerative patterns as typical or non-typical of AD, performing re-assessments of images whenever clinical classification was in disagreement with the PET staging (clinical-biomarker ""mismatches""). We also investigated associations between ""mismatches"" and sociodemographic and educational characteristics. Results AD presented with higher rates of A+ and (N)+. There was also a higher proportion of A+ and (N)+ individuals in the aMCI group in comparison to controls, however without statistical significance regarding the A staging. There was a significant association between amyloid positivity and AD (N)+ hypometabolic patterns typical of AD. Non-AD (N)+ hypometabolism was seen in all A- (N)+ cases in the mild probable AD and control groups and [F-18]FDG-PET patterns classified such individuals as ""SNAP"" and one as probable frontotemporal lobar degeneration. All A- (N)- cases in the probable AD group had less than 4 years of formal education and lower socioeconomic status (SES). Conclusion The PET-based staging system unveiled significant A(N) differences between AD and the other groups, whereas aMCI and controls had different (N) staging, explaining the cognitive impairment in aMCI. [F-18]FDG-PET could be used beyond simple (N) staging, since it provided alternative hypotheses to cases with clinical-biomarker ""mismatches."" An AD hypometabolic pattern correlated with amyloid positivity. Low education and SES were related to dementia in the absence of biomarker changes.