RESUMO
Multiple sclerosis (MS) is a demyelinating chronic autoimmune inflammatory disease of the central nervous system (CNS). A large amount of proinflammatory cytokines is released in the CNS from the self-reactive T cells infiltrate, leading to the destruction of the myelin sheath and contributing to the development of MS. Several drugs have emerged in recent years to treat MS, and studies have shown that gold nanoparticles (GNPs) have anti-inflammatory properties in autoimmune diseases. Thus, the effects of GNP conjugation to ethylene dicysteine diethyl ester (ECD) were evaluated in C57BL/6 female mice exposed to experimental MS. Animals were exposed to experimental autoimmune encephalitis (EAE) induced by myelin oligodendrocyte glycoprotein (MOG35-55) in complete Freund's adjuvant supplemented with Mycobacterium tuberculosis. The clinical and cerebral effects of the different doses of ECD-GNPs (0.3, 0.6, and 1.0 mg/kg) were first studied, and the results showed that the group treated with 0.6 mg/kg ECD-GNPs improved clinical symptoms, inflammatory infiltrate, and myelin integrity. In the following step, GNPs and ECD-GNPs (0.6 mg/kg) showed improvements in the clinical signs of the disease. Moreover, there was a reduction in the levels of proinflammatory cytokines in both groups compared to EAE, and only the isolated use of GNPs increased IL-4 expression. Both NF-κB and TGFß immunoexpression were significantly reduced following EAE + GNPs and EAE + ECD-GNPs treatment. In conclusion, GNPs and ECD-GNPs at 0.6 mg/kg attenuate the neurological signs of EAE likely due to inhibition of neuroinflammation induced by EAE.
Assuntos
Encefalomielite Autoimune Experimental , Nanopartículas Metálicas , Animais , Cisteína/análogos & derivados , Encefalomielite Autoimune Experimental/induzido quimicamente , Ésteres , Feminino , Ouro , Nanopartículas Metálicas/toxicidade , Camundongos , Camundongos Endogâmicos C57BLRESUMO
OBJECTIVES: Screening for genes differentially expressed in placental tissues, aiming to identify transcriptional signatures that may be involved in ZIKV congenital pathogenesis. METHODS: Transcriptome data from placental tissues of pregnant women naturally infected with Zika virus during the third trimester were compared to those from women who tested negative for Zika infection. The findings were validated using both a cell culture model and an immunohistochemistry/morphological analysis of naturally infected placental tissues. RESULTS: Transcriptome analysis revealed that Zika virus infection induces downregulation of insulin-like growth factor II (IGF2) gene, an essential factor for fetal development. The Caco-2 cell culture model that constitutively expresses IGF2 was used for the transcriptome validation. Asiatic and African Zika virus strains infection caused downregulated IGF2 gene expression in Caco-2 cells, whereas other flaviviruses, such as dengue serotype 1, West Nile and wild-type yellow fever viruses, had no effect on this gene expression. Immunohistochemical assays on decidual tissues corroborated our transcriptome analysis, showing that IGF2 is reduced in the decidua of Zika virus-infected women. CONCLUSIONS: Our results draw attention to IGF2 modulation in uterine tissues, and this finding is expected to support future studies on strategies to ameliorate the harmful effects of Zika virus infection during pregnancy.
Assuntos
Infecção por Zika virus , Zika virus , Brasil , Células CACO-2 , Regulação para Baixo , Feminino , Humanos , Fator de Crescimento Insulin-Like II/genética , Gravidez , Terceiro Trimestre da Gravidez , Zika virus/genéticaRESUMO
Comparative molecular field analysis (CoMFA), comparative molecular similarity indices analysis, and hologram quantitative structure-activity relationship (HQSAR) studies were conducted on a series of 52 training set inhibitors of calf spleen purine nucleoside phosphorylase (PNP). Significant cross-validated correlation coefficients (CoMFA, q(2)=0.68; CoMSIA, q(2)=0.66; and HQSAR, q(2)=0.70) were obtained, indicating the potential of the models for untested compounds. The models were then used to predict the inhibitory potency of 16 test set compounds that were not included in the training set, and the predicted values were in good agreement with the experimental results. The final QSAR models along with the information gathered from 3D contour and 2D contribution maps should be useful for the design of novel inhibitors of PNP having improved potency.