Catalyst-Free Click Chemistry for Engineering Chondroitin Sulfate-Multiarmed PEG Hydrogels for Skin Tissue Engineering.

The quest for an ideal biomaterial perfectly matching the microenvironment of the surrounding tissues and cells is an endless challenge within biomedical research, in addition to integrating this with a facile and sustainable technology for its preparation. Engineering hydrogels through click chemistry would promote the sustainable invention of tailor-made hydrogels. Herein, we disclose a versatile and facile catalyst-free click chemistry for the generation of an innovative hydrogel by combining chondroitin sulfate (CS) and polyethylene glycol (PEG). Various multi-armed PEG-Norbornene (A-PEG-N) with different molecular sizes were investigated to generate crosslinked copolymers with tunable rheological and mechanical properties. The crosslinked and mechanically stable porous hydrogels could be generated by simply mixing the two clickable Tetrazine-CS (TCS) and A-PEG-N components, generating a self-standing hydrogel within minutes. The leading candidate (TCS-8A-PEG-N (40 kD)), based on the mechanical and biocompatibility results, was further employed as a scaffold to improve wound closure and blood flow in vivo. The hydrogel demonstrated not only enhanced blood perfusion and an increased number of blood vessels, but also desirable fibrous matrix orientation and normal collagen deposition. Taken together, these results demonstrate the potential of the hydrogel to improve wound repair and hold promise for in situ skin tissue engineering applications.

Familial lecithin-cholesterol acyltransferase deficiency: If so rare, why so frequent in the state of Piauí, northeastern Brazil?

Lecithin-cholesterol acyltransferase (LCAT), an enzyme that participates in lipoprotein metabolism, plays an important role in cholesterol homeostasis. Mutations in the LCAT gene can cause two rare genetic disorders: familial LCAT deficiency (FLD), which is characterized by corneal opacities, normocytic anemia, dyslipidemia, and proteinuria progressing to chronic renal failure, and fish-eye disease (FED), which causes dyslipidemia and progressive corneal opacities. Herein, we report six suspected cases of FLD in the backlands of Piauí, located in northeast Brazil. A genetic diagnosis was performed in index cases. Among these, a further investigation was performed to identify new cases in the families. In addition, molecular analyses were performed to verify the levels of consanguinity within families and the existence of a genetic relationship between them. All six index cases were confirmed as FLD with an identical mutation (c.803G > A, p.R268H). The genetic investigation confirmed another 7 new cases of FLD, 52 heterozygous and 6 individuals without mutations. The rate of consanguinity revealed that marriages within the family did not contribute to the high number of FLD cases within the restricted region. The elders of each family (patriarchs and matriarchs) were subjected to a kinship analysis and were more genetically related to each other than the control group. Bayesian analysis was implemented to confirm the hypothesis of connectivity among patriarchs and matriarchs and indicated that they were genetically more related to each other than would be randomly expected, thus suggesting the occurrence of a possible founder effect in these families.

Smartpathk: a platform for teaching glomerulopathies using machine learning.

BACKGROUND: With the emergence of the new coronavirus pandemic (COVID-19), distance learning, especially that mediated by information and digital communication technologies, has been adopted in all areas of knowledge and at all levels, including medical education. Imminently practical areas, such as pathology, have made traditional teaching based on conventional microscopy more flexible through the synergies of computational tools and image digitization, not only to improve teaching-learning but also to offer alternatives to repetitive and exhaustive histopathological analyzes. In this context, machine learning algorithms capable of recognizing histological patterns in kidney biopsy slides have been developed and validated with a view to building computational models capable of accurately identifying renal pathologies. In practice, the use of such algorithms can contribute to the universalization of teaching, allowing quality training even in regions where there is a lack of good nephropathologists. The purpose of this work is to describe and test the functionality of SmartPathk, a tool to support teaching of glomerulopathies using machine learning. The training for knowledge acquisition was performed automatically by machine learning methods using the J48 algorithm to create a computational model of an appropriate decision tree. RESULTS: An intelligent system, SmartPathk, was developed as a complementary remote tool in the teaching-learning process for pathology teachers and their students (undergraduate and graduate students), showing 89,47% accuracy using machine learning algorithms based on decision trees. CONCLUSION: This artificial intelligence system can assist in teaching renal pathology to increase the training capacity of new medical professionals in this area.

pHLA3D: Updating the database of predicted three-dimensional structures of HLA with HLA-DR, HLA-DQ and HLA-DP molecules.

To improve the availability of three-dimensional (3D) structures of HLA molecules, we created the pHLA3D database. In its first version, we modeled and published 106 3D structures of HLA class I molecules from the HLA-A, HLA-B, and HLA-C loci. This paper presents an update of this database, providing more 127 3D structures of HLA class II molecules (41 DR, 42 DQ, and 44 DP), predicted via homology modeling with MODELLER and SWISS-MODEL. These new 3D structures of HLA class II molecules are now freely available at pHLA3D (www.phla3d.com.br) for immunologists and other researchers working with HLA molecules.

pHLA3D: An online database of predicted three-dimensional structures of HLA molecules.

HLA epitope analysis emerged as a strategy to determine alloimmune risk in solid organ transplantation. However, it requires not only knowledge on HLA amino acids sequences, but also on HLA three-dimensional structures. Unfortunately, the number of structures available is still unsatisfactory. This work reports the modelling of 106 heterotrimeric (alpha chain + ß2M + peptide) HLA class I molecules. The models were generated by homology modelling using Modeller, refined using GalaxyRefine server, heterodimerized with Swiss-PDB Viewer and, finally, assessed as to their structural quality through Dali server. The final structures were made available through a free online database, pHLA3D (www.phla3d.com.br), developed in Ruby language using the Ruby on Rails web framework. Structural parameters were similar between refined molecules and their templates. The new database may improve HLA epitope analysis and better guide risk assessment in solid organ transplantation setting.

CD77 levels over enzyme replacement treatment in Fabry Disease Family (V269M) / Níveis de CD77 ao longo do tratamento de reposição enzimática em família com Doença de Fabry (V269M)

ABSTRACT Introduction: Fabry disease (FD) is a disorder caused by mutations in the gene encoding for lysosomal enzyme α-galactosidase A (α-GAL). Reduced α-GAL activity leads to progressive accumulation of globotriaosylceramide (Gb3), also known as CD77. The recent report of increased expression of CD77 in blood cells of patients with FD indicated that this molecule can be used as a potential marker for monitoring enzyme replacement therapy (ERT). Objective: The purpose of this study was to evaluate the CD77 levels throughout ERT in FD patients (V269M mutation). Methods: We evaluated the fluctuations in PBMC (peripheral blood mononuclear cell) membrane CD77 expression in FD patients undergoing ERT and correlated these levels with those observed in different cell types. Results: A greater CD77 expression was found in phagocytes of patients compared to controls at baseline. Interestingly, the variability in CD77 levels is larger in patients at baseline (340 - 1619 MIF) and after 12 months of ERT (240 - 530 MIF) compared with the control group (131 - 331 MFI). Furthermore, by analyzing the levels of CD77 in phagocytes from patients throughout ERT, we found a constant decrease in CD77 levels. Conclusion: The increased CD77 levels in the phagocytes of Fabry carriers together with the decrease in CD77 levels throughout ERT suggest that measuring CD77 levels in phagocytes is a promising tool for monitoring the response to ERT in FD.

RESUMO Introdução: A doença de Fabry (DF) é um distúrbio causado por mutações no gene que codifica a enzima lisossômica α-galactosidase A (α-GAL). A redução da atividade de α-GAL leva ao acúmulo progressivo de globotriaosilceramida (Gb3), também conhecida como CD77. O recente relato de aumento da expressão de CD77 em células sanguíneas de pacientes com DF indicou que essa molécula pode ser utilizada como um potencial marcador para o monitoramento da terapia de reposição enzimática (TRE). Objetivo: O objetivo deste estudo foi avaliar os níveis de CD77 ao longo da TRE em pacientes com DF (mutação V269M). Métodos: Foram avaliadas as flutuações na expressão de CD77 nas membranas das CMSP (células mononucleares do sangue periférico) em pacientes com DF submetidos à TRE e correlacionados com aqueles observados em diferentes tipos de células. Resultados: Uma maior expressão de CD77 foi encontrada em fagócitos de pacientes em comparação aos controles no início do estudo. Curiosamente, a variabilidade nos níveis de CD77 é maior em pacientes no início do estudo (340 - 1619 MIF) e após 12 meses de TRE (240 - 530 MIF) em comparação com o grupo controle (131 - 331 MFI). Além disso, analisando os níveis de CD77 em fagócitos de pacientes ao longo da TRE, encontramos uma diminuição constante nos níveis de CD77. Conclusão: O aumento nos níveis de CD77 nos fagócitos de portadores de Fabry, juntamente com a diminuição nos níveis de CD77 ao longo da TRE, sugerem que medir os níveis de CD77 nos fagócitos é uma ferramenta promissora para monitorar a resposta à TRE na DF.

Time is life: EpAssistant - a new tool for the automatic identification of anti-HLA antibody epitope specificity in transplant programs.

BACKGROUND AND OBJECTIVES: This work aims to present the expert system EpAssistant, a platform algorithm designed to accurately and automatically identify the EPLETS specificities of anti-HLA (Human Leukocyte Antigen) antibodies in the sera of transplantation candidates. MATERIALS AND METHODS: RESULTS: As preliminary results, we present the development and establishment of the EpAssistant platform. EpAssistant analyses can be performed for Class I (-A, B and C) and Class II (-DR, -DQ and -DP) HLA molecules. CONCLUSIONS: EpAssistant automates the EPLETS reactivity analysis process and drastically reduces the time required to produce final results, enabling large-scale data analyses in a simple, inexpensive and rapid manner and facilitating the allocation of donated organs via the EPLETS Virtual Crossmatch (EVxM) system.

CD77 levels over enzyme replacement treatment in Fabry Disease Family (V269M).

INTRODUCTION: Fabry disease (FD) is a disorder caused by mutations in the gene encoding for lysosomal enzyme α-galactosidase A (α-GAL). Reduced α-GAL activity leads to progressive accumulation of globotriaosylceramide (Gb3), also known as CD77. The recent report of increased expression of CD77 in blood cells of patients with FD indicated that this molecule can be used as a potential marker for monitoring enzyme replacement therapy (ERT). OBJECTIVE: The purpose of this study was to evaluate the CD77 levels throughout ERT in FD patients (V269M mutation). METHODS: We evaluated the fluctuations in PBMC (peripheral blood mononuclear cell) membrane CD77 expression in FD patients undergoing ERT and correlated these levels with those observed in different cell types. RESULTS: A greater CD77 expression was found in phagocytes of patients compared to controls at baseline. Interestingly, the variability in CD77 levels is larger in patients at baseline (340 - 1619 MIF) and after 12 months of ERT (240 - 530 MIF) compared with the control group (131 - 331 MFI). Furthermore, by analyzing the levels of CD77 in phagocytes from patients throughout ERT, we found a constant decrease in CD77 levels. CONCLUSION: The increased CD77 levels in the phagocytes of Fabry carriers together with the decrease in CD77 levels throughout ERT suggest that measuring CD77 levels in phagocytes is a promising tool for monitoring the response to ERT in FD.

Novel recombinant multiepitope proteins for the detection of anti-Cryptococcus antibodies.

AIM: To produce and test recombinant multiepitope proteins as an alternative assay for the serological diagnosis of cryptococcosis. MATERIALS & METHODS: Previously, synthetic peptides were used to detect anti-Cryptococcus antibodies, and in silico analyses showed that the union of peptides would improve the results. Here, the coding sequences of these peptides were assembled into synthetic genes. Four genes have been cloned and expressed in Escherichia coli, producing recombinant multiepitope proteins: proteins A, B, C and D. RESULTS: All constructs yielded good results; however, protein D showed the best results, with a sensitivity of 88.57% and specificity of 100%. CONCLUSION: The multiepitope proteins were shown to be potential antigens for the diagnosis of cryptococcosis in an attempt to detect anti-Cryptococcus antibodies.

Characterization and phosphoproteomic analysis of a human immortalized podocyte model of Fabry disease generated using CRISPR/Cas9 technology.

Fabry nephropathy is a major cause of morbidity and premature death in patients with Fabry disease (FD), a rare X-linked lysosomal storage disorder. Gb3, the main substrate of α-galactosidase A (α-Gal A), progressively accumulates within cells in a variety of tissues. Establishment of cell models has been useful as a tool for testing hypotheses of disease pathogenesis. We applied CRISPR/Cas9 genome editing technology to the GLA gene to develop human kidney cell models of FD in human immortalized podocytes, which are the main affected renal cell type. Our podocytes lack detectable α-Gal A activity and have increased levels of Gb3. To explore different pathways that could have distinct patterns of activation under conditions of α-gal A deficiency, we used a high-throughput antibody array to perform phosphorylation profiling of CRISPR/Cas9-edited and control podocytes. Changes in both total protein levels and in phosphorylation status per site were observed. Analysis of our candidate proteins suggests that multiple signaling pathways are impaired in FD.

Web-based ecosystem software for virtual crossmatching in transplant programs.

BACKGROUND: The compatibilities between donors and recipients are extremely important for evaluating the immunological risks of transplants. One challenge faced by data analysis tools is the transformation of complex data into simple, intuitive, and important information that can be used to resolve contemporary problems. To address this challenge, we developed the EpViX software to perform epitope reactivity analyses and automated epitope virtual crossmatching. EpViX is a facilitator of medical decision-making regarding the identification of the best donor for a high-immunologic risk recipient. The objective of this work is to describe the computational architecture of the EpViX ecosystem (http://www.epvix.com.br). MATERIALS AND METHODS: EpViX is a freeware on the web that was developed in the Ruby language. EpViX can be accessed from different platforms, e.g., PCs, tablets, and smartphones. It consists of an ecosystem of tools that are capable of integrating all of the stakeholders who are involved in a transplant process with a deceased donor. RESULTS: We successfully developed a program that allows people to work collaboratively and effectively during the donation process by accurately predicting negative crossmatches, saving time and other resources. CONCLUSIONS: EpViX represents a significant breakthrough for the organ transplant process and may meet the current needs of transplant programs because it increases the chances of the allocation of low-immunologic risk donors to highly sensitized recipients and assures greater equity among the recipients on a waiting list. EpViX was duly verified and tested in terms of data security. Moreover, usability tests demonstrated that EpViX is an intuitive and easy-to-use tool.

Podocyturia in Fabry disease.

INTRODUCTION: Fabry disease is a lysosomal storage disorder due to abnormalities in the GLA gene (Xq22). Such changes result in the reduction/absence of activity of the lysosome enzyme α-GAL, whose function is to metabolize globotriaosylceramide (Gb3). Renal disease is a major clinical outcome of the accumulation of Gb3. Podocyte injury is thought to be a major contributor to the progressive loss of the renal function and may be found altered even before the onset of microalbuminuria. OBJECTIVE: The aim of this study was to quantify the urinary excretion of podocytes in Fabry disease patients (V269M, n = 14) and healthy controls (n = 40), and to correlate podocyturia with the variables gender, age, time of therapy and albumin: creatinine ratio (ACR). METHODS: Urinary podocytes were stained using immunofluorescence to podocalyxin and DAPi. The number of podocalyxin-positive cells was quantified and the average number was taken (normal range 0-0.6 podocytes/mL). RESULTS: The average number of podocytes in the urine of Fabry disease patients was significantly higher than in healthy controls (p < 0.0001). We observed a positive correlation between podocyturia and ACR (p = 0.004; (r2 = 0.6417). We found no correlation between podocyturia and gender, age or duration of therapy. CONCLUSION: Podocyturia is an important parameter in the assessment of renal disease in general, and it may serve as an additional early tool for monitoring Fabry disease nephropathy even before changes in ACR are seen. This may prove to be a useful tool to assess disease progression in patients expected to have a more aggressive phenotype.

Podocitúria na doença de Fabry / Podocyturia in Fabry disease

Resumo Introdução: A doença de Fabry (DF) é uma desordem lisossômica ligada ao cromossomo X ocasionada por mutações no gene que codifica a enzima lisossômica α-galactosidase A (α-GAL). A redução ou ausência da atividade dessa enzima leva ao acúmulo progressivo de gb3. A doença renal é uma importante consequência clínica da acumulação de Gb3. Podócito é o tipo celular mais afetado na doença renal, que mostra apenas uma resposta parcial à Terapia de Reposição Enzimática. Além disso, a disfunção podocitária é a principal contribuinte para a perda progressiva da função renal e pode ser encontrada alterada mesmo antes do início da microalbuminúria. Assim, a podocitúria na DF pode ser uma ferramenta importante para prever a doença renal. Objetivo: O objetivo deste estudo foi quantificar a excreção urinária de podócitos em pacientes com DF (V269M, n = 14) e controles saudáveis (n = 40), e relacioná-las com as variáveis sexo, idade, tempo de terapia e a razão albumina: creatinina (AUC). Métodos: Podócitos urinários foram identificados utilizando imunofluorescência para podocalixina e DAPI. O número de células podocalixina positivo foi contado e o número médio foi utilizado (faixa normal 0-0.6 podócitos/mL). Resultados: O número médio de podócitos na urina de pacientes com DF foi significativamente maior do que os controles saudáveis (p < 0.0001). Observou-se uma correlação positiva entre podocitúria e AUC (p = 0.004; r2 = 0.6417). Conclusão: A podocitúria pode ser uma ferramenta adicional para avaliar a progressão da doença renal em pacientes que se espera que tenha um fenótipo mais agressivo.

Abstract Introduction: Fabry disease is a lysosomal storage disorder due to abnormalities in the GLA gene (Xq22). Such changes result in the reduction/absence of activity of the lysosome enzyme α-GAL, whose function is to metabolize globotriaosylceramide (Gb3). Renal disease is a major clinical outcome of the accumulation of Gb3. Podocyte injury is thought to be a major contributor to the progressive loss of the renal function and may be found altered even before the onset of microalbuminuria. Objective: The aim of this study was to quantify the urinary excretion of podocytes in Fabry disease patients (V269M, n = 14) and healthy controls (n = 40), and to correlate podocyturia with the variables gender, age, time of therapy and albumin: creatinine ratio (ACR). Methods: Urinary podocytes were stained using immunofluorescence to podocalyxin and DAPi. The number of podocalyxin-positive cells was quantified and the average number was taken (normal range 0-0.6 podocytes/mL). Results: The average number of podocytes in the urine of Fabry disease patients was significantly higher than in healthy controls (p < 0.0001). We observed a positive correlation between podocyturia and ACR (p = 0.004; (r2 = 0.6417). We found no correlation between podocyturia and gender, age or duration of therapy. Conclusion: Podocyturia is an important parameter in the assessment of renal disease in general, and it may serve as an additional early tool for monitoring Fabry disease nephropathy even before changes in ACR are seen. This may prove to be a useful tool to assess disease progression in patients expected to have a more aggressive phenotype.

EpViX: A cloud-based tool for epitope reactivity analysis and epitope virtual crossmatching to identify low immunologic risk donors for sensitized recipients.

One of the challenges facing solid organ transplantation programs globally is the identification of low immunological risk donors for sensitized recipients by HLA allele genotype. Because recognition of donor HLA alleles by host antibodies is at the core of organ rejection, the objective of this work was to develop a new version of the EpHLA software, named EpViX, which uses an HLAMatchmaker algorithm and performs automated epitope virtual crossmatching at the initiation of the organ donation process. EpViX is a free, web-based application developed for use over the internet on a tablet, smartphone or computer. This program was developed using the Ruby programming language and the Ruby-on-Rails framework. To improve the user experience, the EpViX software interface was developed based on the best human­computer interface practices. To simplify epitope analysis and virtual crossmatching, the program was integrated with important available web-based resources, such as OPTN, IMGT/HLA and the International HLA Epitope Registry. We successfully developed a program that allows people to work collaboratively and effectively during the donation process by accurately predicting negative crossmatches, saving time and other resources.

Rio Grande do Norte, Brazil, voluntary bone marrow donors registry analysis.

OBJECTIVE: this study aimed to report the allele and haplotype frequencies of volunteer bone marrow donors (VBMD) from the state of Rio Grande do Norte (RN) who were enrolled in the Brazilian Volunteer Bone Marrow Donor Registry (REDOME). METHODS: the sample comprised 12,973 VBMD who had their allele and haplotype frequencies calculated by Arlequin 3.5.1.2. A multivariate analysis of the data was obtained through a principal component analysis (PCA) and hierarchical cluster analysis (HCA) performed with SPSS 8.0. RESULTS: the most frequent allelic group was HLA-A*02, followed by -DRB1*13, -DRB1*04, -DRB1*07, -B*44, -B*35, -A*24 and -DRB1*01. Of the 2,701 haplotypes observed, the three most frequent were HLA-A*01 B*08 DRB1*03 (1.62%), -A*29 B*44 DRB1*07 (1.56%) and -A*02 B*44 DRB1*04 (1.29%). These haplotypes were in linkage disequilibrium. RN allele and haplotype frequencies were very similar to those in other Brazilian states in which similar studies have been performed. The PCA revealed that RN is highly genetically similar to Caucasian populations, especially those from Iberian countries, which strongly influenced the state's ethnic composition. Africans and Amerindians also influenced the RN population structure, to a lesser extent. CONCLUSION: the HCA reinforced the conclusion that, despite its highly admixed profile, the RN population is genetically similar to European and European-descended populations. The PCA also showed that RN cities do not contribute to the same extent to REDOME, with less populous cities being underrepresented, indicating the need to enroll more VBMD from these smaller cities to faithfully depict the state's population structure in the database.

Rio Grande do Norte, Brazil, voluntary bone marrow donors registry analysis / Análise do registro de doadores voluntários de medula óssea do Rio Grande do Norte, Brasil.

Objective: this study aimed to report the allele and haplotype frequencies of volunteer bone marrow donors (VBMD) from the state of Rio Grande do Norte (RN) who were enrolled in the Brazilian Volunteer Bone Marrow Donor Registry (REDOME). Methods: the sample comprised 12,973 VBMD who had their allele and haplotype frequencies calculated by Arlequin 3.5.1.2. A multivariate analysis of the data was obtained through a principal component analysis (PCA) and hierarchical cluster analysis (HCA) performed with SPSS 8.0. Results: the most frequent allelic group was HLA-A*02, followed by -DRB1*13, -DRB1*04, -DRB1*07, -B*44, -B*35, -A*24 and -DRB1*01. Of the 2,701 haplotypes observed, the three most frequent were HLA-A*01 B*08 DRB1*03 (1.62%), -A*29 B*44 DRB1*07 (1.56%) and -A*02 B*44 DRB1*04 (1.29%). These haplotypes were in linkage disequilibrium. RN allele and haplotype frequencies were very similar to those in other Brazilian states in which similar studies have been performed. The PCA revealed that RN is highly genetically similar to Caucasian populations, especially those from Iberian countries, which strongly influenced the state’s ethnic composition. Africans and Amerindians also influenced the RN population structure, to a lesser extent. Conclusion: the HCA reinforced the conclusion that, despite its highly admixed profile, the RN population is genetically similar to European and European-descended populations. The PCA also showed that RN cities do not contribute to the same extent to REDOME, with less populous cities being underrepresented, indicating the need to enroll more VBMD from these smaller cities to faithfully depict the state’s population structure in the database. .

Objetivo: relatar as frequências alélicas e haplotípicas do HLA-A, -B e -DRB1 de doadores voluntários de medula óssea (DVMO) do Rio Grande do Norte (RN), inscritos no Registro Nacional de Doadores de Medula Óssea (REDOME). Metodologia: 12.973 DVMO tiveram suas frequências alélica e haplotípica calculadas pelo programa Arlequin 3.5.1.2. Uma análise multivariada dos dados foi obtida por meio da Análise de Componente Principal (ACP) e da Análise de Cluster Hierárquico (ACH) realizadas pelo SPSS 8.0. Resultados: os grupos alélicos mais frequentes foram HLA-A*02, seguido por -DRB1*13, -DRB1*04, -DRB1*07, -B*44, -B*35, -A*24 e -DRB1*01. Dos 2.701 haplótipos observados, os três mais frequentes foram HLA-A*01 B*08 DRB1*03 (1,62%), -A*29 B*44 DRB1*07 (1,56%) e -A*02 B*44 DRB1*04 (1,29%), que se encontravam em desequilíbrio de ligação. As frequências alélicas e haplotípicas do RN são bastante similares às de outros estados brasileiros em que trabalhos semelhantes foram executados. A ACP revelou ser o RN geneticamente muito semelhante a populações caucasianas, especialmente a dos países ibéricos, os quais influenciaram fortemente na composição étnica do Estado. Africanos e ameríndios também contribuíram para a estrutura populacional, mas em menor proporção. Conclusão: a ACH reforçou a conclusão de que, apesar de seu perfil miscigenado, a população do RN se assemelha geneticamente com populações europeias e que descendem das europeias. A ACP também mostrou que as cidades do RN não contribuem equitativamente na composição do REDOME, de modo que cidades pouco populosas estão sub-representadas, apontando a necessidade de cadastrar mais DVMO dessas cidades para que a estrutura da população seja fielmente retratada. .

First report on the antibody verification of HLA-DR, HLA-DQ and HLA-DP epitopes recorded in the HLA Epitope Registry.

The International Registry of Antibody-Defined HLA Epitopes (http://www.epregistry.com.br) has been recently established as a tool to understand humoral responses to HLA mismatches. These epitopes can be structurally defined as eplets by three-dimensional molecular modeling and amino acid sequence differences between HLA antigens. A major goal is to identify HLA eplets that have been verified experimentally with informative antibodies. This report addresses class II epitopes encoded by genes in the HLA-D region. Our analysis included reviews of many publications about epitope specificity of class II reactive human and murine monoclonal antibodies and informative alloantibodies from HLA sensitized patients as well as our own antibody testing results. As of July 1, 2014, 24 HLA-DRB1/3/4/5, 15 DQB, 3 DQA and 8 DPB antibody-verified epitopes have been identified and recorded. The Registry is still a work-in-progress and will become a useful resource for HLA professionals interested in histocompatibility testing at the epitope level and investigating antibody responses to HLA mismatches in transplant patients.

Immunoreactivity of synthetic peptides derived from proteins of Cryptococcus gattii.

AIM: To determine the immunoreactivity of synthetic Cryptococcus-derived peptides. MATERIALS & METHODS: A total of 63 B-cell epitopes from previously identified Cryptococcus gattii immunoreactive proteins were synthesized and evaluated as antigens in ELISAs. The peptides were first evaluated for their ability to react against sera from immunocompetent subjects carrying cryptococcal meningitis. Peptides that yielded high sensitivity and specificity in the first test were then retested with sera from individuals with other fungal pathologies for cross-reactivity determination. RESULTS: Six of 63 synthetic peptides were recognized by antibodies in immunoassays, with a specificity of 100%, sensitivity of 78% and low cross-reactivity. CONCLUSION: We successfully determined the immunoreactivity of selected synthetic peptides of C. gattii derived proteins.

Lysosome-associated protein 1 (LAMP-1) and lysosome-associated protein 2 (LAMP-2) in a larger family carrier of Fabry disease.

This study investigated the potential relationship between the expression levels of lysosome-associated membrane proteins (LAMP) 1 and 2 and responses to enzyme replacement therapy (ERT) in the members of a single family with Fabry disease (FD). LAMP levels were assessed by flow cytometry in leukocytes from 17 FD patients who received an eight-month course of ERT course and 101 healthy individuals. We found that phagocytic cells from the FD patients had higher expression levels of both LAMP-1 and LAMP-2, relative to the levels in phagocytes from the healthy controls (p=0.001). Furthermore, the LAMP-1 and LAMP-2 levels in phagocytes from the FD carriers continuously decreased with ERT administration to reach levels similar to those in healthy controls. We suggest that LAMP-1 and LAMP-2 could be used as additional markers with which to assess ERT effectiveness in FD.

Altered dynamics of a lipid raft associated protein in a kidney model of Fabry disease.

Accumulation of globotriaosylceramide (Gb3) and other neutral glycosphingolipids with galactosyl residues is the hallmark of Fabry disease, a lysosomal storage disorder caused by deficiency of the enzyme alpha-galactosidase A (α-gal A). These lipids are incorporated into the plasma membrane and intracellular membranes, with a preference for lipid rafts. Disruption of raft mediated cell processes is implicated in the pathogenesis of several human diseases, but little is known about the effects of the accumulation of glycosphingolipids on raft dynamics in the context of Fabry disease. Using siRNA technology, we have generated a polarized renal epithelial cell model of Fabry disease in Madin-Darby canine kidney cells. These cells present increased levels of Gb3 and enlarged lysosomes, and progressively accumulate zebra bodies. The polarized delivery of both raft-associated and raft-independent proteins was unaffected by α-gal A knockdown, suggesting that accumulation of Gb3 does not disrupt biosynthetic trafficking pathways. To assess the effect of α-gal A silencing on lipid raft dynamics, we employed number and brightness (N&B) analysis to measure the oligomeric status and mobility of the model glycosylphosphatidylinositol (GPI)-anchored protein GFP-GPI. We observed a significant increase in the oligomeric size of antibody-induced clusters of GFP-GPI at the plasma membrane of α-gal A silenced cells compared with control cells. Our results suggest that the interaction of GFP-GPI with lipid rafts may be altered in the presence of accumulated Gb3. The implications of our results with respect to the pathogenesis of Fabry disease are discussed.