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1.
Proteomics ; 22(19-20): e2100247, 2022 10.
Artículo en Inglés | MEDLINE | ID: mdl-35866514

RESUMEN

Fingolimod (FTY720) is an oral drug approved by the Food and Drug Administration (FDA) for management of multiple sclerosis (MS) symptoms, which has also shown beneficial effects against Alzheimer's (AD) and Parkinson's (PD) diseases pathologies. Although an extensive effort has been made to identify mechanisms underpinning its therapeutic effects, much remains unknown. Here, we investigated Fingolimod induced proteome changes in the cerebellum (CB) and frontal cortex (FC) regions of the brain which are known to be severely affected in MS, using a tandem mass tag (TMT) isobaric labeling-based quantitative mass-spectrometric approach to investigate the mechanism of action of Fingolimod. This study identified 6749 and 6319 proteins in CB and FC, respectively, and returned 2609 and 3086 differentially expressed proteins in mouse CB and FC, respectively, between Fingolimod treated and control groups. Subsequent bioinformatics analyses indicated a metabolic reprogramming in both brain regions of the Fingolimod treated group, where oxidative phosphorylation was upregulated while glycolysis and pentose phosphate pathway were downregulated. In addition, modulation of neuroinflammation in the Fingolimod treated group was indicated by upregulation of retrograde endocannabinoid signaling and autophagy pathways, and downregulation of neuroinflammation related pathways including neutrophil degranulation and the IL-12 mediated signaling pathway. Our findings suggest that Fingolimod may exert its protective effects on the brain by inducing metabolic reprogramming and neuroinflammation pathway modulation.


Asunto(s)
Clorhidrato de Fingolimod , Esclerosis Múltiple , Animales , Ratones , Clorhidrato de Fingolimod/farmacología , Clorhidrato de Fingolimod/metabolismo , Clorhidrato de Fingolimod/uso terapéutico , Proteoma/metabolismo , Endocannabinoides/metabolismo , Encéfalo/metabolismo , Esclerosis Múltiple/metabolismo , Metabolismo Energético , Autofagia , Interleucina-12/metabolismo
2.
Biomolecules ; 11(10)2021 09 27.
Artículo en Inglés | MEDLINE | ID: mdl-34680044

RESUMEN

Cannabis (Cannabis sativa), popularly known as marijuana, is the most commonly used psychoactive substance and is considered illicit in most countries worldwide. However, a growing body of research has provided evidence of the therapeutic properties of chemical components of cannabis known as cannabinoids against several diseases including Alzheimer's disease (AD), multiple sclerosis (MS), Parkinson's disease, schizophrenia and glaucoma; these have prompted changes in medicinal cannabis legislation. The relaxation of legal restrictions and increased socio-cultural acceptance has led to its increase in both medicinal and recreational usage. Several biochemically active components of cannabis have a range of effects on the biological system. There is an urgent need for more research to better understand the molecular and biochemical effects of cannabis at a cellular level, to understand fully its implications as a pharmaceutical drug. Proteomics technology is an efficient tool to rigorously elucidate the mechanistic effects of cannabis on the human body in a cell and tissue-specific manner, drawing conclusions associated with its toxicity as well as therapeutic benefits, safety and efficacy profiles. This review provides a comprehensive overview of both in vitro and in vivo proteomic studies involving the cellular and molecular effects of cannabis and cannabis-derived compounds.


Asunto(s)
Cannabinoides/uso terapéutico , Cannabis/genética , Proteoma/genética , Proteómica , Enfermedad de Alzheimer/tratamiento farmacológico , Analgésicos/uso terapéutico , Agonistas de Receptores de Cannabinoides/uso terapéutico , Cannabinoides/genética , Glaucoma/tratamiento farmacológico , Humanos , Esclerosis Múltiple/tratamiento farmacológico , Enfermedad de Parkinson/tratamiento farmacológico , Proteoma/efectos de los fármacos , Esquizofrenia/tratamiento farmacológico
3.
J Transl Med ; 18(1): 278, 2020 07 09.
Artículo en Inglés | MEDLINE | ID: mdl-32646487

RESUMEN

BACKGROUND: Severe acute respiratory syndrome (SARS) has been initiating pandemics since the beginning of the century. In December 2019, the world was hit again by a devastating SARS episode that has so far infected almost four million individuals worldwide, with over 200,000 fatalities having already occurred by mid-April 2020, and the infection rate continues to grow exponentially. SARS coronavirus 2 (SARS-CoV-2) is a single stranded RNA pathogen which is characterised by a high mutation rate. It is vital to explore the mutagenic capability of the viral genome that enables SARS-CoV-2 to rapidly jump from one host immunity to another and adapt to the genetic pool of local populations. METHODS: For this study, we analysed 2301 complete viral sequences reported from SARS-CoV-2 infected patients. SARS-CoV-2 host genomes were collected from The Global Initiative on Sharing All Influenza Data (GISAID) database containing 9 genomes from pangolin-CoV origin and 3 genomes from bat-CoV origin, Wuhan SARS-CoV2 reference genome was collected from GeneBank database. The Multiple sequence alignment tool, Clustal Omega was used for genomic sequence alignment. The viral replicating enzyme, 3-chymotrypsin-like cysteine protease (3CLpro) that plays a key role in its pathogenicity was used to assess its affinity with pharmacological inhibitors and repurposed drugs such as anti-viral flavones, biflavanoids, anti-malarial drugs and vitamin supplements. RESULTS: Our results demonstrate that bat-CoV shares > 96% similar identity, while pangolin-CoV shares 85.98% identity with Wuhan SARS-CoV-2 genome. This in-depth analysis has identified 12 novel recurrent mutations in South American and African viral genomes out of which 3 were unique in South America, 4 unique in Africa and 5 were present in-patient isolates from both populations. Using state of the art in silico approaches, this study further investigates the interaction of repurposed drugs with the SARS-CoV-2 3CLpro enzyme, which regulates viral replication machinery. CONCLUSIONS: Overall, this study provides insights into the evolving mutations, with implications to understand viral pathogenicity and possible new strategies for repurposing compounds to combat the nCovid-19 pandemic.


Asunto(s)
Betacoronavirus/enzimología , Simulación por Computador , Infecciones por Coronavirus/virología , Cisteína Endopeptidasas/metabolismo , Replicación del ADN , Reposicionamiento de Medicamentos , Geografía , Neumonía Viral/virología , Proteínas no Estructurales Virales/metabolismo , Betacoronavirus/genética , COVID-19 , Proteasas 3C de Coronavirus , Evolución Molecular , Genoma Viral , Humanos , Simulación del Acoplamiento Molecular , Mutación/genética , Tasa de Mutación , Pandemias , Filogenia , SARS-CoV-2 , Ensamble de Virus
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