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A major aim in MS field has been the search for biomarkers that enable accurate detection of neuronal damage. Besides MRI, recent studies have shown that neuroaxonal damage can also be tracked by neurofilament detection. Nevertheless, before widespread implementation, a better understanding of the principal contributors for this biomarker is of paramount importance. Therefore, we analyzed neurofilament light chain (NfL) in relapsing (RMS) and progressive MS (PMS), addressing which MRI and clinical variables are better related to this biomarker.Forty-seven MS patients underwent MRI (3T) and cerebrospinal fluid (CSF) sampling. We measured NfL concentrations using ELISA (UmanDiagnostics) and performed multivariable regression analysis to assess the contribution of clinical and MRI metrics to NfL.NfL correlated with previous clinical activity in RMS (p 0.001). In RMS, NfL also correlated with Gad+ and cortical lesion volumes. However, after multivariable analysis, only cortical lesions and relapses in previous 12 months remained in the final model (RCSF NfL levels are increased in RMS and associated with relapses and cortical lesions. Although NfL levels were correlated with Gad+ lesion volume, this association did not persist in multivariable analysis after controlling for previous clinical activity. We encourage controlling for previous clinical activity when testing the association of NfL with MRI. In PMS, the major contributor to NfL was T1-hypointense lesion volume.

Recently, it was shown that highly effective anti-CD20 therapies used for MS patients not only deplete CD20+ B cells, but also a small subset of T cells expressing CD20 surface marker (CD3+CD20+ T cells). Here we demonstrated that, in progressive MS patients, CD3+CD20+ T cells share the ability to express cytotoxic factors such as perforin and serine-protease granzyme-B (GzmB), classically associated with CD8+ T cells functionality. Beyond it, cluster analyses show that a set of activation markers and transcriptional factors related with CD8 effector program are also expressed in CD3+CD20+ T cells. Further characterization of surface and functional markers from CD3+CD20+ T subsets may be helpful for development of new therapeutic strategies mainly for progressive MS patients, as well as for assessing pathophysiological effects of highly effective anti-CD20 therapies.

Made available in DSpace on 2020-12-12T02:25:21Z (GMT). No. of bitstreams: 0 Previous issue date: 2020-09-01 Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) Fundo de Apoio ao Ensino, à Pesquisa e Extensão, Universidade Estadual de Campinas Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) COVID-19 can result in severe lung injury. It remained to be determined why diabetic individuals with uncontrolled glucose levels are more prone to develop the severe form of COVID-19. The molecular mechanism underlying SARS-CoV-2 infection and what determines the onset of the cytokine storm found in severe COVID-19 patients are unknown. Monocytes and macrophages are the most enriched immune cell types in the lungs of COVID-19 patients and appear to have a central role in the pathogenicity of the disease. These cells adapt their metabolism upon infection and become highly glycolytic, which facilitates SARS-CoV-2 replication. The infection triggers mitochondrial ROS production, which induces stabilization of hypoxia-inducible factor-1α (HIF-1α) and consequently promotes glycolysis. HIF-1α-induced changes in monocyte metabolism by SARS-CoV-2 infection directly inhibit T cell response and reduce epithelial cell survival. Targeting HIF-1ɑ may have great therapeutic potential for the development of novel drugs to treat COVID-19. Diabetic people with uncontrolled blood glucose levels have a greater risk to develop severe COVID-19 disease. Codo et al. show that elevated glucose levels and glycolysis promote SARS-CoV-2 (CoV-2) replication and cytokine production in monocytes through a mitochondrial ROS/hypoxia-inducible factor-1α dependent pathway, resulting in T cell dysfunction and epithelial cell death. Laboratory of Immunometabolism Department of Genetics Evolution Microbiology and Immunology Institute of Biology University of Campinas Department of Genetics Evolution Microbiology and Immunology Institute of Biology University of Campinas Department of Biochemistry and Tissue Biology Institute of Biology University of Campinas Department of Genetics at Ribeirao Preto Medical School University of Sao Paulo, Ribeirao Preto Department of Clinical and Toxicological analyses School of Pharmaceutical Sciences University of São Paulo Brazilian Biosciences National Laboratory (LNBio), Campinas Department of Animal Biology Institute of Biology University of Campinas, Campinas Department of Internal Medicine School of Medical Sciences University of Campinas, Campinas Department of Clinical Medicine School of Medical Sciences University of Campinas, Campinas Hematology and Hemotherapy Center University of Campinas, Campinas Obesity and Comorbidities Research Center (OCRC) University of Campinas Experimental Medicine Research Cluster (EMRC) University of Campinas Department of Structural and Functional Biology Institute of Biosciences São Paulo State University (UNESP), Botucatu D'Or Institute for Research and Education (IDOR) Instituto Nacional de Biomarcadores em Neuropsiquiatria Conselho Nacional de Desenvolvimento Científico e Tecnológico Department of Structural and Functional Biology Institute of Biosciences São Paulo State University (UNESP), Botucatu FAPESP: 20/04579-7 FAPESP: 2015/15626-8 FAPESP: 2016/18031-8 FAPESP: 2016/23328-0 FAPESP: 2017/01184-9 FAPESP: 2018/22505-0 FAPESP: 2019/00098-7 FAPESP: 2019/06372-3 FAPESP: 2020/04522-5 FAPESP: 2020/04558-0 FAPESP: 2020/04583-4 FAPESP: 2020/04746-0 FAPESP: 2020/04919-2 Fundo de Apoio ao Ensino, à Pesquisa e Extensão, Universidade Estadual de Campinas: 2274/20