RESUMEN
Human brains vary across people and over time; such variation is not yet understood in cellular terms. Here we describe a relationship between people's cortical neurons and cortical astrocytes. We used single-nucleus RNA sequencing to analyse the prefrontal cortex of 191 human donors aged 22-97 years, including healthy individuals and people with schizophrenia. Latent-factor analysis of these data revealed that, in people whose cortical neurons more strongly expressed genes encoding synaptic components, cortical astrocytes more strongly expressed distinct genes with synaptic functions and genes for synthesizing cholesterol, an astrocyte-supplied component of synaptic membranes. We call this relationship the synaptic neuron and astrocyte program (SNAP). In schizophrenia and ageing-two conditions that involve declines in cognitive flexibility and plasticity1,2-cells divested from SNAP: astrocytes, glutamatergic (excitatory) neurons and GABAergic (inhibitory) neurons all showed reduced SNAP expression to corresponding degrees. The distinct astrocytic and neuronal components of SNAP both involved genes in which genetic risk factors for schizophrenia were strongly concentrated. SNAP, which varies quantitatively even among healthy people of similar age, may underlie many aspects of normal human interindividual differences and may be an important point of convergence for multiple kinds of pathophysiology.
Asunto(s)
Envejecimiento , Astrocitos , Neuronas , Corteza Prefrontal , Esquizofrenia , Adulto , Anciano , Anciano de 80 o más Años , Humanos , Persona de Mediana Edad , Adulto Joven , Envejecimiento/metabolismo , Envejecimiento/patología , Astrocitos/citología , Astrocitos/metabolismo , Astrocitos/patología , Colesterol/metabolismo , Cognición , Neuronas GABAérgicas/metabolismo , Predisposición Genética a la Enfermedad , Glutamina/metabolismo , Salud , Individualidad , Inhibición Neural , Plasticidad Neuronal , Neuronas/citología , Neuronas/metabolismo , Neuronas/patología , Corteza Prefrontal/citología , Corteza Prefrontal/metabolismo , Corteza Prefrontal/patología , Esquizofrenia/genética , Esquizofrenia/metabolismo , Esquizofrenia/patología , Análisis de Expresión Génica de una Sola Célula , Sinapsis/genética , Sinapsis/metabolismo , Sinapsis/patología , Membranas Sinápticas/química , Membranas Sinápticas/metabolismoRESUMEN
INTRODUCTION: A wide array of post-translational modifications of the tau protein occurs in Alzheimer's disease (AD) and they are critical to pathogenesis and biomarker development. Several promising tau markers, pT181, pT217, and pT231, rely on increased phosphorylation within a common molecular motif threonine-proline-proline (TPP). METHODS: We validated new and existing antibodies against pT217, pT231, pT175, and pT181, then combined immunohistochemistry (IHC) and immunoassays (ELISA) to broadly examine the phosphorylation of the tau TPP motif in AD brains. RESULTS: The tau burden, as examined by IHC and ELISA, correlates to Braak stages across all TPP sites. Moreover, we observed regional variability across four TPP motif phosphorylation sites in multiple brains of sporadic AD patients. DISCUSSION: We conclude that there is an elevation of TPP tau phosphorylation in AD brains as disease advances. The regional variability of pTPP tau suggests that examining different phosphorylation sites is essential for a comprehensive assessment of tau pathology.
Asunto(s)
Enfermedad de Alzheimer , Humanos , Enfermedad de Alzheimer/patología , Proteínas tau/metabolismo , Fosforilación , Treonina/metabolismo , Encéfalo/patología , Prolina/metabolismoRESUMEN
Human brains vary across people and over time; such variation is not yet understood in cellular terms. Here we describe a striking relationship between people's cortical neurons and cortical astrocytes. We used single-nucleus RNA-seq to analyze the prefrontal cortex of 191 human donors ages 22-97 years, including healthy individuals and persons with schizophrenia. Latent-factor analysis of these data revealed that in persons whose cortical neurons more strongly expressed genes for synaptic components, cortical astrocytes more strongly expressed distinct genes with synaptic functions and genes for synthesizing cholesterol, an astrocyte-supplied component of synaptic membranes. We call this relationship the Synaptic Neuron-and-Astrocyte Program (SNAP). In schizophrenia and aging - two conditions that involve declines in cognitive flexibility and plasticity 1,2 - cells had divested from SNAP: astrocytes, glutamatergic (excitatory) neurons, and GABAergic (inhibitory) neurons all reduced SNAP expression to corresponding degrees. The distinct astrocytic and neuronal components of SNAP both involved genes in which genetic risk factors for schizophrenia were strongly concentrated. SNAP, which varies quantitatively even among healthy persons of similar age, may underlie many aspects of normal human interindividual differences and be an important point of convergence for multiple kinds of pathophysiology.
RESUMEN
INTRODUCTION: Transdiagnostic dimensional phenotypes are essential to investigate the relationship between continuous symptom dimensions and pathological changes. This is a fundamental challenge to postmortem work, as assessment of newly developed phenotypic concepts needs to rely on existing records. METHODS: We adapted well-validated methodologies to compute NIMH research domain criteria (RDoC) scores using natural language processing (NLP) from electronic health records (EHRs) obtained from post-mortem brain donors and tested whether RDoC cognitive domain scores were associated with hallmark Alzheimer's disease (AD) neuropathological measures. RESULTS: Our results confirm an association of EHR-derived cognitive scores with hallmark neuropathological findings. Notably, higher neuropathological load, particularly neuritic plaques, was associated with higher cognitive burden scores in the frontal (ß=0.38, p=0.0004), parietal (ß=0.35, p=0.0008), temporal (ß=0.37, p=0. 0004) and occipital (ß=0.37, p=0.0003) lobes. DISCUSSION: This proof of concept study supports the validity of NLP-based methodologies to obtain quantitative measures of RDoC clinical domains from postmortem EHR.