Phenotypical characterization of exteroceptive sensation and pain symptoms on diabetic patients.

BACKGROUD: Diabetic neuropathy (DN) is one of the most common complications of diabetes, affecting about half of individuals with the disease. Among the various symptoms of DN, the development of chronic pain stands out and manifests as exacerbated responses to sensorial stimuli. The conventional clinical treatments used for general neuropathy and associated painful symptoms, still brings uncomplete and unsatisfactory pain relief. Patients with neuropathic pain syndromes are heterogeneous. They present with a variety of sensory symptoms and pain qualities which difficult the correct diagnosis of sensory comorbidities and consequently, the appropriate chronic pain management. AIMS: Herein, we aimed to demonstrate the existence of different sensory profiles on diabetic patients by investigating epidemiological and clinical data on the symptomatology of a group of patients with DN. METHODS: This is a longitudinal and observational study, with a sample of 57 volunteers diagnosed with diabetes from outpatient day clinic of Hospital Universitário of the University of São Paulo-Brazil. After being invited and signed the Informed Consent Form (ICF), patients were submitted to clinical evaluation and filled out pain and quality of life questionnaires. They also performed quantitative sensory test (QST) and underwent skin biopsy for correlation with cutaneous neuropathology. RESULTS: Data demonstrate that 70% of the studied sample presented some type of pain, manifesting in a neuropathic or nociceptive way, what has a negative impact on the life of patients with DM. We also demonstrated a positive association between pain and anxiety and depression, in addition to pain catastrophic thoughts. Three distinct profiles were identified in the sample, separated according to the symptoms of pain: (i) subjects without pain; (ii) with mild or moderate pain; (iii) subjects with severe pain. We also identified through skin biopsy that diabetic patients presented advanced sensory impairment, as a consequence of the degeneration of the myelinated and unmyelinated peripheral fibers. This study characterized the painful symptoms and exteroceptive sensation profile in these diabetic patients, associated to a considerable level of sensory degeneration, indicating, and reinforcing the importance of the long-term clinical monitoring of individuals diagnosed with DM, regarding their symptom profiles and exteroceptive sensitivity.

Identification of pathogenic variants in the brazilian cohort with familial hypercholesterolemia using exon-targeted gene sequencing

Familial hypercholesterolemia (FH) is a monogenic disease characterized by high plasma low-density lipoprotein cholesterol (LDL-c) levels and increased risk of premature atherosclerotic cardiovascular disease. Mutations in FH-related genes account for 40% of FH cases worldwide. In this study, we aimed to assess the pathogenic variants in FH-related genes in the Brazilian FH cohort FHBGEP using exon-targeted gene sequencing (ETGS) strategy. FH patients (n = 210) were enrolled at five clinical sites and peripheral blood samples were obtained for laboratory testing and genomic DNA extraction. ETGS was performed using MiSeq platform (Illumina). To identify deleterious variants in LDLR, APOB, PCSK9, and LDLRAP1, the long-reads were subjected to Burrows-Wheeler Aligner (BWA) for alignment and mapping, followed by variant calling using Genome Analysis Toolkit (GATK) and ANNOVAR for variant annotation. The variants were further filtered using in-house custom scripts and classified according to the American College Medical Genetics and Genomics (ACMG) guidelines. A total of 174 variants were identified including 85 missense, 3 stop-gain, 9 splice-site, 6 InDel, and 71 in regulatory regions (3'UTR and 5'UTR). Fifty-two patients (24.7%) had 30 known pathogenic or likely pathogenic variants in FH-related genes according to the American College Medical and Genetics and Genomics guidelines. Fifty-three known variants were classified as benign, or likely benign and 87 known variants have shown uncertain significance. Four novel variants were discovered and classified as such due to their absence in existing databases. In conclusion, ETGS and in silico prediction studies are useful tools for screening deleterious variants and identification of novel variants in FH-related genes, they also contribute to the molecular diagnosis in the FHBGEP cohort.

Identification of pathogenic variants in the Brazilian cohort with Familial hypercholesterolemia using exon-targeted gene sequencing.

Familial hypercholesterolemia (FH) is a monogenic disease characterized by high plasma low-density lipoprotein cholesterol (LDL-c) levels and increased risk of premature atherosclerotic cardiovascular disease. Mutations in FH-related genes account for 40% of FH cases worldwide. In this study, we aimed to assess the pathogenic variants in FH-related genes in the Brazilian FH cohort FHBGEP using exon-targeted gene sequencing (ETGS) strategy. FH patients (n = 210) were enrolled at five clinical sites and peripheral blood samples were obtained for laboratory testing and genomic DNA extraction. ETGS was performed using MiSeq platform (Illumina). To identify deleterious variants in LDLR, APOB, PCSK9, and LDLRAP1, the long-reads were subjected to Burrows-Wheeler Aligner (BWA) for alignment and mapping, followed by variant calling using Genome Analysis Toolkit (GATK) and ANNOVAR for variant annotation. The variants were further filtered using in-house custom scripts and classified according to the American College Medical Genetics and Genomics (ACMG) guidelines. A total of 174 variants were identified including 85 missense, 3 stop-gain, 9 splice-site, 6 InDel, and 71 in regulatory regions (3'UTR and 5'UTR). Fifty-two patients (24.7%) had 30 known pathogenic or likely pathogenic variants in FH-related genes according to the American College Medical and Genetics and Genomics guidelines. Fifty-three known variants were classified as benign, or likely benign and 87 known variants have shown uncertain significance. Four novel variants were discovered and classified as such due to their absence in existing databases. In conclusion, ETGS and in silico prediction studies are useful tools for screening deleterious variants and identification of novel variants in FH-related genes, they also contribute to the molecular diagnosis in the FHBGEP cohort.

Methotrexate promotes recovery of arthritis-induced alveolar bone loss and modifies the composition of the oral-gut microbiota.

OBJECTIVES: The impact of rheumatoid arthritis (RA) on the shaping of the oral and gut microbiome raises the question of whether and how RA treatment modifies microbial communities. We examined changes in the oral and gut microbiota in a mouse model of antigen-induced arthritis (AIA) treated or not with methotrexate (MTX). METHODS: Maxillae and stools were evaluated by the MiSeq platform of the V4 region of the 16S rRNA gene. Alveolar bone parameters were analysed by micro-computed tomography. Moreover, arthritis-induced changes in hyperalgesia and oedema were assessed, along with the impact on periodontal bone health. RESULTS: Microbial communities in MTX-treated AIA mice revealed distinct clusters compared to the control and AIA groups. Overall, MTX impacted the richness and variability of microorganisms in the oral-gut axis microbiome at the phylum level. Regarding the oral microbiome, while in the control group the most dominant phylum was Firmicutes, in the AIA group there was a shift towards the predominance of Campilobacteriota and Bacteroidetes associated with the disease. MTX treatment led to greater dominance of the health-associated phylum Proteobacteria. In the gut microbiome, AIA induction resulted in increased abundance of the Verrucomicrobiota phylum, and MTX treatment restored its levels compared to control. Importantly, the MTX-treated AIA animals had significantly less periodontal bone loss, as well as decreased hyperalgesia and joint oedema compared to the AIA animals. CONCLUSION: Data suggest the benefit of MTX treatment in protecting alveolar bone, in addition to providing new insights on the drug-microbiome interaction in the course of RA.

Proteomics reveals disturbances in the immune response and energy metabolism of monocytes from patients with septic shock.

Sepsis results from a dyshomeostatic response to infection, which may lead to hyper or hypoimmune states. Monocytes are central regulators of the inflammatory response, but our understanding of their role in the genesis and resolution of sepsis is still limited. Here, we report a comprehensive exploration of monocyte molecular responses in a cohort of patients with septic shock via proteomic profiling. The acute stage of septic shock was associated with an impaired inflammatory phenotype, indicated by the down-regulation of MHC class II molecules and proinflammatory cytokine pathways. Simultaneously, there was an up-regulation of glycolysis enzymes and a decrease in proteins related to the citric acid cycle and oxidative phosphorylation. On the other hand, the restoration of immunocompetence was the hallmark of recovering patients, in which an upregulation of interferon signaling pathways was a notable feature. Our results provide insights into the immunopathology of sepsis and propose that, pending future studies, immunometabolism pathway components could serve as therapeutic targets in septic patients.

Genomics, epigenomics and pharmacogenomics of Familial Hypercholesterolemia (FHBGEP): A study protocol

BACKGROUND: Familial hypercholesterolemia (FH) is a genetic disease that affects millions of people worldwide. OBJECTIVES: The study protocol FHBGEP was design to investigate the main genomic, epigenomic, and pharmacogenomic factors associated with FH and polygenic hypercholesterolemia (PH). METHODS: FH patients will be enrolled at six research centers in Brazil. An exon-targeted gene strategy will be used to sequence a panel of 84 genes related to FH, PH, pharmacogenomics and coronary artery disease. Variants in coding and regulatory regions will be identified using a proposed variant discovery pipeline and classified according to the American College Medical Genetics guidelines. Functional effects of variants in FH-related genes will be investigated by in vitro studies using lymphocytes and cell lines (HepG2, HUVEC and HEK293FT), CRISPR/Cas9 mutagenesis, luciferase reporter assay and other technologies. Functional studies in silico, such as molecular docking, molecular dynamics, and conformational analysis, will be used to explore the impact of novel variants on protein structure and function. DNA methylation profile and differential expression of circulating non-coding RNAs (miRNAs and lncRNAs) will be analyzed in FH patients and normolipidemic subjects (control group). The influence of genomic and epigenomic factors on metabolic and inflammatory status will be analyzed in FH patients. Pharmacogenomic studies will be conducted to investigate the influence of genomic and epigenomic factors on response to statins in FH patients. SUMMARY: The FHBGEP protocol has the potential to elucidate the genetic basis and molecular mechanisms involved in the pathophysiology of FH and PH, particularly in the Brazilian population. This pioneering approach includes genomic, epigenomic and functional studies, which results will contribute to the improvement of the diagnosis, prognosis and personalized therapy of FH patients.

Genomics, epigenomics and pharmacogenomics of familial hypercholesterolemia (FHBGEP): A study protocol.

BACKGROUND: Familial hypercholesterolemia (FH) is a genetic disease that affects millions of people worldwide. OBJECTIVES: The study protocol FHBGEP was design to investigate the main genomic, epigenomic, and pharmacogenomic factors associated with FH and polygenic hypercholesterolemia (PH). METHODS: FH patients will be enrolled at six research centers in Brazil. An exon-targeted gene strategy will be used to sequence a panel of 84 genes related to FH, PH, pharmacogenomics and coronary artery disease. Variants in coding and regulatory regions will be identified using a proposed variant discovery pipeline and classified according to the American College Medical Genetics guidelines. Functional effects of variants in FH-related genes will be investigated by in vitro studies using lymphocytes and cell lines (HepG2, HUVEC and HEK293FT), CRISPR/Cas9 mutagenesis, luciferase reporter assay and other technologies. Functional studies in silico, such as molecular docking, molecular dynamics, and conformational analysis, will be used to explore the impact of novel variants on protein structure and function. DNA methylation profile and differential expression of circulating non-coding RNAs (miRNAs and lncRNAs) will be analyzed in FH patients and normolipidemic subjects (control group). The influence of genomic and epigenomic factors on metabolic and inflammatory status will be analyzed in FH patients. Pharmacogenomic studies will be conducted to investigate the influence of genomic and epigenomic factors on response to statins in FH patients. SUMMARY: The FHBGEP protocol has the potential to elucidate the genetic basis and molecular mechanisms involved in the pathophysiology of FH and PH, particularly in the Brazilian population. This pioneering approach includes genomic, epigenomic and functional studies, which results will contribute to the improvement of the diagnosis, prognosis and personalized therapy of FH patients.

Usando a imunologia de sistemas para entender os mecanismos moleculares de doenças e vacinas / Using systems immunology to understand the molecular mechanisms of diseases and vaccines

Nas últimas décadas, dados relacionados com a saúde humana, desde informações clínicas e epidemiológicas até imagens médicas e experimentos ômicos, foram gerados e acumulados em uma quantidade sem precedentes na história. Um campo novo de pesquisa chamado "Imunologia de Sistemas" emergiu para tentar integrar, analisar, interpretar e predizer os mecanismos moleculares de doenças e vacinas. Esta tese mostra diversas aplicações da Imunologia de Sistemas no estudo de arboviroses, vacina da gripe, câncer, tuberculose, pneumonia, artrite, dentre outros. Também mostra o desenvolvimento de ferramentas computacionais amigáveis que permitem com que qualquer cientista, sem conhecimento prévio de bioinformática, possa realizar análises de Imunologia de Sistemas. Os achados das análises forneceram novas hipóteses e insights que, ao serem testados e validados experimentalmente, melhoram nosso entendimento sobre os processos imunológicos por trás da vacinação e de doenças humanas

Identificação e análise de expressão de RNAs intrônicos não codificadores humanos / Identification and expression analysis of human intronic noncoding RNAs

Nesse trabalho, nós mostramos estudos em larga-escala de RNAs não codificadores antisenso que são transcritos em regiões intrônicas de genes humanos. Alguns destes transcritos intrônicos possuem níveis de expressão correlacionados ao grau de diferenciação tumoral de câncer de próstata, apontando para uma relevância biológica destas mensagens em doenças complexas como o câncer. Nós também avaliamos a existência de um mecanismo comum de regulação de transcrição, compartilhado por mRNAs codificadores de proteína e RNAs intrônicos, através de análises de perfís de expressão de uma linhagem tumoral de próstata estimulada por andrógeno. A análise de ESTs e mRNAs depositados em bancos públicos de seqüência revelou mais de 55 mil RNAs Totalmente Intrônicos Não-codificadores (TIN), transcritos dos íntrons de 74% de todos os genes RefSeq únicos. Guiados por esta informação, nós desenhamos uma plataforma de oligonucleotídeos contendo sondas senso e antisenso para cada um de 7.520 transcritos TIN selecionados aleatoriamente, além de sondas para os genes codificadores de proteína correspondentes. Nos identificamos assinaturas intrônicas e exônicas de expressão tecido-específicas em fígado, próstata e rim.Os RNAs TIN antisenso mais altamente expressos eram transcritos de íntrons de genes codificadores de proteína enriquecidos na categoria “Regulação da transcrição...