ABSTRACT
Bioinformatic analysis of large and complex omics datasets has become increasingly useful in modern day biology by providing a great depth of information,with its application to neuroscience termed neuroinformatics.Data mining of omics datasets has enabled the generation of new hypotheses based on differentially regulated biological molecules associated with disease mechanisms,which can be tested experimentally for improved diagnostic and therapeutic targeting of neurodegenerative diseases.Importantly,integrating multi-omics data using a systems bioinformatics approach will advance the understanding of the layered and interactive network of biological regulation that exchanges systemic knowledge to facilitate the development of a comprehensive human brain profile.In this review,we first summarize data mining studies utilizing datasets from the individual type of omics analysis,including epigenetics/epigenomics,transcriptomics,proteomics,metabolomics,lipidomics,and spatial omics,pertaining to Alzheimer's disease,Parkinson's disease,and multiple sclerosis.We then discuss multi-omics integration approaches,including independent biological integration and unsupervised integra-tion methods,for more intuitive and informative interpretation of the biological data obtained across different omics layers.We further assess studies that integrate multi-omics in data mining which provide convoluted biological insights and offer proof-of-concept proposition towards systems bioinformatics in the reconstruction of brain networks.Finally,we recommend a combination of high dimensional bio-informatics analysis with experimental validation to achieve translational neuroscience applications including biomarker discovery,therapeutic development,and elucidation of disease mechanisms.We conclude by providing future perspectives and opportunities in applying integrative multi-omics and systems bioinformatics to achieve precision phenotyping of neurodegenerative diseases and towards personalized medicine.
ABSTRACT
Context: The term "Well-being" [WB] has many different meanings in scientific literature. Objectives: To search specific situations and related semantics for feelings of well-being [WB] associated to oxytocin [OT] release. Data sources: A systematic review using PRISMA guidelines in PubMed, BVS Virtual (Medline, Lilacs) and SIBI-USP Portal de Busca Integrada (1970-1999 & 2014-2018). Study selection: Reviews and clinical trials (PICOS) on OT, & WB and similar concepts in humans. Data extraction: Independent selection of articles by two reviewers; selection of articles by one reviewer, using predefined criteria. Data synthesis: 46 articles were selected out of 339, with 26 additional articles. Main data referred to social situations, sensorial stimuli, trust and psychiatric and health studies. Conclusions: The identified variables involved brain-body-mind interactions, and health/disease; translational neuroscience seems to be the best theoretical reference to investigate it.
Contexto: O termo "Bem-estar" [WB] apresenta muitos significados diferentes na literatura. Objetivos: Buscar situações específicas e semânticas relacionadas a sentimentos de bem-estar [WB] ligados à ocitocina [OT]. Fontes de dados: Revisão sistemática a partir das Referências PRISMA nas bases de dados PubMed, BVS Virtual (Medline, Lilacs) and SIBI-USP Portal de Busca Integrada (1970-1999 & 2014-2018). Seleção do estudo: revisões e ensaios clínicos (PICOS) sobre OT, & WB e sinônimos, em humanos. Extração de dados: seleção independente de artigos por dois revisores. Um revisor selecionou os textos utilizando critérios pré-definidos. Síntese dos dados: Dentre 339 artigos, 46 foram selecionados, e mais 26 posteriormente adicionados. Os principais dados obtidos referiam-se a situações sociais, estímulos sensoriais, confiança e estudos psiquiátricos e de saúde. Conclusões: As variáveis identificadas envolveram interações cérebro-corpo-mente e saúde; A neurociência translacional parece ser o melhor referencial teórico para investigá-la.
Contexto: El termo "Bienestar" [WB] abarca muchos significados diferentes en la literatura científica. Objetivos: buscar situaciones y semánticas sobre sentimientos de bienestar [WB] asociados con la produccion de oxitocina [OT]. Fuentes de datos: Revisión sistemática en PubMed, BVS Virtual (Medline, Lilacs) y SIBI-USP Portal de Busca Integrada (1970-1999; 2014-2018). Selección de estudios: revisiones y ensayos clínicos (PICOS) en OT, & WB y sinónimos, en humanos. Extracción de datos: Extracion independiente de artículos por dos revisores; selección de artículos por un revisor, utilizando criterios predefinidos. Síntesis de datos: se seleccionaron 46 artículos dentre 339, y mas 26 adicionales. Los datos principales se referían a situaciones sociales, estímulos sensoriales, confianza y estudios psiquiátricos y de salud. Conclusiones: Las variables identificadas involucraron interacciones cerebro-cuerpo-mente y salud; La neurociencia traslacional parece ser el mejor marco teórico para investigarlo.
Subject(s)
Humans , Oxytocin/physiology , Happiness , Homeostasis/physiology , PsychophysiologyABSTRACT
OBJECTIVES: The neural substrate of fear is thought to be highly conserved among species including human. The purpose of this review was to address the neural substrates of fear based on recent findings obtained from animal and human studies. METHODS: Recent studies on brain regions related to fear, particularly fear conditioning in rodents and humans, were extensively reviewed. RESULTS: This paper suggests high consistency in anatomical structure and physiological mechanisms for fear perception, response, learning and modulation in animals and humans. CONCLUSIONS: Fear is manifested and modulated by well conserved neural circuits among species interconnected with the amygdala, such as the hippocampus and the ventromedial prefrontal cortex. Further research is required to incorporate findings from animal studies into a better understanding of neural circuitry of fear in human in a translational approach.