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1.
Sci Rep ; 12(1): 13484, 2022 08 05.
Artículo en Inglés | MEDLINE | ID: mdl-35931712

RESUMEN

The aim of this study is to characterize cell type-specific transcriptional signatures in non-alcoholic steatohepatitis (NASH) to improve our understanding of the disease. We performed single-cell RNA sequencing on liver biopsies from 10 patients with NASH. We applied weighted gene co-expression network analysis and validated our findings using a publicly available RNA sequencing data set derived from 160 patients with non-alcoholic fatty liver disease (NAFLD) and 24 controls with normal liver histology. Our study provides a comprehensive single-cell analysis of NASH pathology in humans, describing 19,627 single-cell transcriptomes from biopsy-proven NASH patients. Our data suggest that the previous notion of "NASH-associated macrophages" can be explained by an up-regulation of normally existing subpopulations of liver macrophages. Similarly, we describe two distinct populations of activated hepatic stellate cells, associated with the level of fibrosis. Finally, we find that the expression of several circulating markers of NAFLD are co-regulated in hepatocytes together with predicted effector genes from NAFLD genome-wide association studies (GWAS), coupled to abnormalities in the complement system. In sum, our single-cell transcriptomic data set provides insights into novel cell type-specific and general biological processes associated with inflammation and fibrosis, emphasizing the importance of studying cell type-specific biological processes in human NASH.


Asunto(s)
Enfermedad del Hígado Graso no Alcohólico , Biomarcadores/metabolismo , Fibrosis , Estudio de Asociación del Genoma Completo , Humanos , Hígado/metabolismo , Enfermedad del Hígado Graso no Alcohólico/patología , Transcriptoma
2.
Mol Metab ; 47: 101174, 2021 05.
Artículo en Inglés | MEDLINE | ID: mdl-33549847

RESUMEN

OBJECTIVE: The goal of this study was to investigate the importance of central hormone-sensitive lipase (HSL) expression in the regulation of food intake and body weight in mice to clarify whether intracellular lipolysis in the mammalian hypothalamus plays a role in regulating appetite. METHODS: Using pharmacological and genetic approaches, we investigated the role of HSL in the rodent brain in the regulation of feeding and energy homeostasis under basal conditions during acute stress and high-fat diet feeding. RESULTS: We found that HSL, a key enzyme in the catabolism of cellular lipid stores, is expressed in the appetite-regulating centers in the hypothalamus and is activated by acute stress through a mechanism similar to that observed in adipose tissue and skeletal muscle. Inhibition of HSL in rodent models by a synthetic ligand, global knockout, or brain-specific deletion of HSL prevents a decrease in food intake normally seen in response to acute stress and is associated with the increased expression of orexigenic peptides neuropeptide Y (NPY) and agouti-related peptide (AgRP). Increased food intake can be reversed by adeno-associated virus-mediated reintroduction of HSL in neurons of the mediobasal hypothalamus. Importantly, metabolic stress induced by a high-fat diet also enhances the hyperphagic phenotype of HSL-deficient mice. Specific deletion of HSL in the ventromedial hypothalamic nucleus (VMH) or AgRP neurons reveals that HSL in the VMH plays a role in both acute stress-induced food intake and high-fat diet-induced obesity. CONCLUSIONS: Our results indicate that HSL activity in the mediobasal hypothalamus is involved in the acute reduction in food intake during the acute stress response and sensing of a high-fat diet.


Asunto(s)
Apetito/fisiología , Homeostasis , Hipotálamo/metabolismo , Esterol Esterasa/metabolismo , Proteína Relacionada con Agouti/metabolismo , Animales , Peso Corporal , Dieta Alta en Grasa/efectos adversos , Ingestión de Alimentos , Metabolismo Energético , Femenino , Hiperfagia/metabolismo , Masculino , Ratones , Ratones Endogámicos C57BL , Ratones Noqueados , Neuronas/metabolismo , Neuropéptido Y/metabolismo , Obesidad/metabolismo , Factores de Empalme de ARN , Esterol Esterasa/genética , Estrés Fisiológico/genética , Transcriptoma
4.
Nat Commun ; 11(1): 5038, 2020 10 07.
Artículo en Inglés | MEDLINE | ID: mdl-33028830

RESUMEN

Epilepsy is one of the most common neurological disorders, yet its pathophysiology is poorly understood due to the high complexity of affected neuronal circuits. To identify dysfunctional neuronal subtypes underlying seizure activity in the human brain, we have performed single-nucleus transcriptomics analysis of >110,000 neuronal transcriptomes derived from temporal cortex samples of multiple temporal lobe epilepsy and non-epileptic subjects. We found that the largest transcriptomic changes occur in distinct neuronal subtypes from several families of principal neurons (L5-6_Fezf2 and L2-3_Cux2) and GABAergic interneurons (Sst and Pvalb), whereas other subtypes in the same families were less affected. Furthermore, the subtypes with the largest epilepsy-related transcriptomic changes may belong to the same circuit, since we observed coordinated transcriptomic shifts across these subtypes. Glutamate signaling exhibited one of the strongest dysregulations in epilepsy, highlighted by layer-wise transcriptional changes in multiple glutamate receptor genes and strong upregulation of genes coding for AMPA receptor auxiliary subunits. Overall, our data reveal a neuronal subtype-specific molecular phenotype of epilepsy.


Asunto(s)
Epilepsia Refractaria/genética , Epilepsia del Lóbulo Temporal/genética , Neuronas/patología , Lóbulo Temporal/patología , Transcriptoma/genética , Adolescente , Adulto , Biopsia , Estudios de Casos y Controles , Núcleo Celular/genética , Núcleo Celular/metabolismo , Conjuntos de Datos como Asunto , Epilepsia Refractaria/diagnóstico , Epilepsia Refractaria/patología , Epilepsia Refractaria/cirugía , Epilepsia del Lóbulo Temporal/diagnóstico , Epilepsia del Lóbulo Temporal/patología , Epilepsia del Lóbulo Temporal/cirugía , Femenino , Ácido Glutámico/metabolismo , Humanos , Imagen por Resonancia Magnética , Masculino , Microdisección , Persona de Mediana Edad , Modelos Genéticos , Red Nerviosa/metabolismo , Red Nerviosa/patología , Neuronas/citología , Neuronas/metabolismo , RNA-Seq , Receptores AMPA/genética , Receptores AMPA/metabolismo , Receptores de Glutamato/genética , Receptores de Glutamato/metabolismo , Transducción de Señal/genética , Análisis de la Célula Individual , Lóbulo Temporal/citología , Lóbulo Temporal/diagnóstico por imagen , Lóbulo Temporal/cirugía , Transcripción Genética , Regulación hacia Arriba , Adulto Joven
5.
Elife ; 92020 09 21.
Artículo en Inglés | MEDLINE | ID: mdl-32955435

RESUMEN

The underlying cell types mediating predisposition to obesity remain largely obscure. Here, we integrated recently published single-cell RNA-sequencing (scRNA-seq) data from 727 peripheral and nervous system cell types spanning 17 mouse organs with body mass index (BMI) genome-wide association study (GWAS) data from >457,000 individuals. Developing a novel strategy for integrating scRNA-seq data with GWAS data, we identified 26, exclusively neuronal, cell types from the hypothalamus, subthalamus, midbrain, hippocampus, thalamus, cortex, pons, medulla, pallidum that were significantly enriched for BMI heritability (p<1.6×10-4). Using genes harboring coding mutations associated with obesity, we replicated midbrain cell types from the anterior pretectal nucleus and periaqueductal gray (p<1.2×10-4). Together, our results suggest that brain nuclei regulating integration of sensory stimuli, learning and memory are likely to play a key role in obesity and provide testable hypotheses for mechanistic follow-up studies.


Asunto(s)
Química Encefálica/genética , Encéfalo , Biología Computacional/métodos , Obesidad , Animales , Índice de Masa Corporal , Encéfalo/citología , Encéfalo/metabolismo , Técnicas Genéticas , Estudio de Asociación del Genoma Completo , Ratones , Obesidad/genética , Obesidad/metabolismo , Obesidad/fisiopatología , Especificidad de Órganos/genética , ARN/química , ARN/metabolismo , Análisis de la Célula Individual
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