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1.
J Affect Disord ; 302: 131-138, 2022 04 01.
Artigo em Inglês | MEDLINE | ID: mdl-34990638

RESUMO

INTRODUCTION: Functioning in Bipolar Disorder (BD) is affected in a substantial proportion of patients. The impact of demographic, clinical, cognitive, and genetic factors on functioning has been shown individually; however, as a complex phenomenon, a global approach to identify the most relevant as well as possible interactions is needed. METHODS: 102 patients with type I BD in euthymia were invited for evaluation of demographic, clinical, and cognitive characteristics as well as genotype for Val66Met polymorphism of BDNF gene to determine those associated with poor functioning according to the FAST scale cut-off score. Clinical evaluation included assessment of residual affective symptoms and anxiety. Cognitive evaluation included the COBRA scale, verbal memory, and executive functions testing. RESULTS: Residual depressive symptoms, anxiety, cognitive complaints and being a Met carrier were more frequent in the poor functioning group and were entered in a logistic regression model. Being a Met carrier (OR=4.46, CI=1.19-16.67) and cognitive complaints (OR=1.29, CI= 1.13-1.46) were the most important predictors of poor functioning in type I BD. LIMITATIONS: Cross-sectional study, with select population limiting generalizability of findings. CONCLUSIONS: A better understanding of underlying factors affecting cognition, including the possible involvement of BDNF Val66Met polymorphism, its systematic evaluation and a continued search for targeted treatment, along with recognition and attention of residual affective and anxious symptoms might improve psychosocial outcomes such as functioning in this population.


Assuntos
Transtorno Bipolar , Fator Neurotrófico Derivado do Encéfalo/genética , Transtorno Bipolar/psicologia , Cognição , Estudos Transversais , Humanos , Testes Neuropsicológicos
2.
Complex Psychiatry ; 7(3-4): 60-70, 2021 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-36017067

RESUMO

No large-scale genome-wide association studies (GWASs) of psychosis have been conducted in Mexico or Latin America to date. Schizophrenia and bipolar disorder in particular have been found to be highly heritable and genetically influenced. However, understanding of the biological basis of psychosis in Latin American populations is limited as previous genomic studies have almost exclusively relied on participants of Northern European ancestry. With the goal of expanding knowledge on the genomic basis of psychotic disorders within the Mexican population, the National Institute of Psychiatry Ramón de la Fuente Muñiz (INPRFM), the Harvard T.H. Chan School of Public Health, and the Broad Institute's Stanley Center for Psychiatric Research launched the Neuropsychiatric Genetics Research of Psychosis in Mexican Populations (NeuroMex) project to collect and analyze case-control psychosis samples from 5 states across Mexico. This article describes the planned sample collection and GWAS protocol for the NeuroMex study. The 4-year study will span from April 2018 to 2022 and aims to recruit 9,208 participants: 4,604 cases and 4,604 controls. Study sites across Mexico were selected to ensure collected samples capture the genomic diversity within the Mexican population. Blood samples and phenotypic data will be collected during the participant interview process and will contribute to the development of a local biobank in Mexico. DNA extraction will be done locally and genetic analysis will take place at the Broad Institute in Cambridge, MA. We will collect extensive phenotypic information using several clinical scales. All study materials including phenotypic instruments utilized are openly available in Spanish and English. The described study represents a long-term collaboration of a number of institutions from across Mexico and the Boston area, including clinical psychiatrists, clinical researchers, computational biologists, and managers at the 3 collaborating institutions. The development of relevant data management, quality assurance, and analysis plans are the primary considerations in this protocol article. Extensive management and analysis processes were developed for both the phenotypic and genetic data collected. Capacity building, partnerships, and training between and among the collaborating institutions are intrinsic components to this study and its long-term success.

3.
Neuropsychiatr Dis Treat ; 16: 1199-1206, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-32494139

RESUMO

PURPOSE: Bipolar disorder (BD) is a condition associated with structural alterations in the prefrontal cortex (PFC); some genetic variants and mood stabilizer medications like lithium or valproate are associated with these changes. CACNA1C is a gene involved in BD pathology and brain function; carriers of the A allele of rs1006737 are reported to have increased risk for BD and increased cortical thickness (CT) in the PFC compared to non-carriers. Lithium is also associated with increased CT in the PFC of BD subjects compared to the ones on valproate. The influence of these treatments and gene variants over the PFC structure of Mexican subjects has not been explored. Therefore, we evaluate the effects of mood stabilizers and risk A allele of CACNA1C rs1006737 on the prefrontal cortical thickness of Mexican BD patients treated with lithium or valproate. PATIENTS AND METHODS: A cross-sectional study of 40 BD type I euthymic adult outpatients (20 treated with lithium and 20 with valproate) who underwent a 3T T1-weighted 3D brain scan and genotyping for CACNA1C risk allele rs1006737 was conducted. We performed a cortical thickness analysis of the dorsolateral and orbitofrontal regions of the prefrontal cortex with BrainVoyager 20.6. The effects of treatment and gene variants were analyzed with a two-way multivariate analysis of covariance. RESULTS: There was no association of CACNA1C risk allele rs1006737 with CT measures of both PFCs nor significant interaction between the genetic variant and treatment. Mood stabilizers reported the main effect on the CT measures of the right PFC of our sample. Patients on treatment with lithium showed higher mean CT on the right orbitofrontal cortex. CONCLUSION: We did not find any association between the prefrontal CT and CACNA1C risk A allele rs1006737 in BD Mexican patients treated with lithium or valproate. Our results suggest that mood stabilizers had the main effect in the CT of the right PFC.

4.
Telemed J E Health ; 25(3): 250-256, 2019 03.
Artigo em Inglês | MEDLINE | ID: mdl-29932811

RESUMO

BACKGROUND: The method used to collect, store, and analyze data can affect the quality of data obtained. Many studies have shown the advantages of electronic systems over paper. Numerous tools are available for this purpose; however, they tend to be implemented only in high-budget protocols as they tend to be expensive. INTRODUCTION: We report the experience of the Affective Disorders' Clinic of the National Institute of Psychiatry in Mexico City using Adobe Acrobat® Forms combined with Dropbox® as storage and distribution method for clinical protocols. MATERIALS AND METHODS: Adobe Acrobat 9 Pro® was used to create personalized forms to capture data for seven different clinical purposes. Dropbox was used to share the distributed forms with fellow researchers. Completed forms were stored in Dropbox and the main researcher kept the data collection file, from where the forms were gathered for analysis. RESULTS: Sixteen forms created for different clinical purposes had an average of 1.2% missing fields. DISCUSSION: The main drawbacks relate to remote filling and the time spent in fine-tuning complex forms. The main advantages relate to the simplicity of the implementation of the method and the fact that no software other than the one available at the Institute is required. CONCLUSIONS: Compared with other types of electronic data collection systems, the combination of these tools achieves similar goals and is low cost, requiring minimal knowledge of informatics.


Assuntos
Análise de Dados , Coleta de Dados/métodos , Registros Eletrônicos de Saúde/organização & administração , Armazenamento e Recuperação da Informação/métodos , Software , Humanos
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