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1.
Int J Mol Sci ; 22(8)2021 Apr 10.
Artículo en Inglés | MEDLINE | ID: mdl-33920138

RESUMEN

Alzheimer's disease (AD) is a chronic, neurodegenerative brain disorder affecting millions of Americans that is expected to increase in incidence with the expanding aging population. Symptomatic AD patients show cognitive decline and often develop neuropsychiatric symptoms due to the accumulation of insoluble proteins that produce plaques and tangles seen in the brain at autopsy. Unexpectedly, some clinically normal individuals also show AD pathology in the brain at autopsy (asymptomatic AD, AsymAD). In this study, SWItchMiner software was used to identify key switch genes in the brain's entorhinal cortex that lead to the development of AD or disease resilience. Seventy-two switch genes were identified that are differentially expressed in AD patients compared to healthy controls. These genes are involved in inflammation, platelet activation, and phospholipase D and estrogen signaling. Peroxisome proliferator-activated receptor γ (PPARG), zinc-finger transcription factor (YY1), sterol regulatory element-binding transcription factor 2 (SREBF2), and early growth response 1 (EGR1) were identified as transcription factors that potentially regulate switch genes in AD. Comparing AD patients to AsymAD individuals revealed 51 switch genes; PPARG as a potential regulator of these genes, and platelet activation and phospholipase D as critical signaling pathways. Chemical-protein interaction analysis revealed that valproic acid is a therapeutic agent that could prevent AD from progressing.


Asunto(s)
Enfermedad de Alzheimer/genética , Péptidos beta-Amiloides/genética , Genes de Cambio/genética , Inflamación/genética , Envejecimiento/genética , Envejecimiento/patología , Enfermedad de Alzheimer/patología , Encéfalo/metabolismo , Encéfalo/patología , Disfunción Cognitiva/genética , Disfunción Cognitiva/patología , Proteína 1 de la Respuesta de Crecimiento Precoz/genética , Corteza Entorrinal/patología , Regulación de la Expresión Génica/genética , Humanos , Inflamación/patología , PPAR gamma/genética , Fosfolipasa D/genética , Placa Amiloide , Transducción de Señal/genética , Programas Informáticos , Proteína 2 de Unión a Elementos Reguladores de Esteroles/genética , Factor de Transcripción YY1/genética
2.
BMC Genomics ; 11: 513, 2010 Sep 24.
Artículo en Inglés | MEDLINE | ID: mdl-20868472

RESUMEN

BACKGROUND: Functional comparative genomic analysis of the cellular immunological effects of different anti-inflammatory phytocompounds is considered as a helpful approach to distinguish the complex and specific bioactivities of candidate phytomedicines. Using LPS-stimulated THP-1 monocytes, we characterize here the immunomodulatory activities of three single phytocompounds (emodin, shikonin, and cytopiloyne) and a defined phytocompound mixture extracted from Echinacea plant (BF/S+L/Ep) by focused DNA microarray analysis of selected immune-related genes. RESULTS: Shikonin and emodin significantly inhibited the early expression (within 0.5 h) of approximately 50 genes, notably cytokines TNF-α, IL-1ß and IL-4, chemokines CCL4 and CCL8, and inflammatory modulators NFATC3 and PTGS2. In contrast, neither cytopiloyne nor BF/S+L/Ep inhibited the early expression of these 50 genes, but rather inhibited most late-stage expression (~12 h) of another immune gene subset. TRANSPATH database key node analysis identified the extracellular signal-regulated kinase (ERK) 1/2 activation pathway as the putative target of BF/S+L/Ep and cytopiloyne. Western blot confirmed that delayed inactivation of the ERK pathway was indeed demonstrable for these two preparations during the mid-stage (1 to 4 h) of LPS stimulation. We further identified ubiquitin pathway regulators, E6-AP and Rad23A, as possible key regulators for emodin and shikonin, respectively. CONCLUSION: The current focused DNA microarray approach rapidly identified important subgenomic differences in the pattern of immune cell-related gene expression in response to specific anti-inflammatory phytocompounds. These molecular targets and deduced networks may be employed as a guide for classifying, monitoring and manipulating the molecular and immunological specificities of different anti-inflammatory phytocompounds in key immune cell systems and for potential pharmacological application.


Asunto(s)
Antiinflamatorios/farmacología , Genómica/métodos , Inmunidad/efectos de los fármacos , Extractos Vegetales/química , Extractos Vegetales/farmacología , Transducción de Señal/efectos de los fármacos , Transducción de Señal/inmunología , Muerte Celular/efectos de los fármacos , Línea Celular , Análisis por Conglomerados , Emodina/farmacología , Activación Enzimática/efectos de los fármacos , Perfilación de la Expresión Génica , Regulación de la Expresión Génica/efectos de los fármacos , Genes de Cambio/genética , Glucósidos/farmacología , Humanos , Inmunidad/genética , Cinética , Lipopolisacáridos/farmacología , Sistema de Señalización de MAP Quinasas/efectos de los fármacos , Monocitos/citología , Monocitos/efectos de los fármacos , Monocitos/enzimología , Naftoquinonas/farmacología , Análisis de Secuencia por Matrices de Oligonucleótidos , Poliinos/farmacología , Transducción de Señal/genética
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