Navegando por Autor "Santos, Sidney"

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Association of insertion-deletions polymorphisms with colorectal cancer risk and clinical features
(World Journal Of Gastroenterology, 2017-10-07) Correa, Romualdo da Silva; Marques, Diego; Costa, Layse Raynara Ferreira; Costa, Lorenna Larissa Ferreira; Borges, Aline Maciel Pinheiro; Ito, Fernanda Ribeiro; Ramos, Carlos Cesar de Oliveira; Bortolin, Raul Hernandes; Luchessi, André Ducati; Santos, Ândrea Ribeiro dos; Santos, Sidney; Silbiger, Vivian Nogueira
AIM To investigate the association between 16 insertion-deletions (INDEL) polymorphisms, colorectal cancer (CRC) risk and clinical features in an admixed population. Methodos: One hundred and forty patients with CRC and 140 cancer-free subjects were examined. Genomic DNA was extracted from peripheral blood samples. Polymorphisms and genomic ancestry distribution were assayed by Multiplex-PCR reaction, separated by capillary electrophoresis on the ABI 3130 Genetic Analyzer instrument and analyzed on GeneMapper ID v3.2. Clinicopathological data were obtained by consulting the patients’ clinical charts, intra-operative documentation, and pathology scoring. Rerults: Logistic regression analysis showed that polymorphism variations in IL4 gene was associated with increased CRC risk, while TYMS and UCP2 genes were associated with decreased risk. Reference to anatomical localization of tumor Del allele of NFKB1 and CASP8 were associated with more colon related incidents than rectosigmoid. In relation to the INDEL association with tumor node metastasis (TNM) stage risk, the Ins alleles of ACE, HLAG and TP53 (6 bp INDEL) were associated with higher TNM stage. Furthermore, regarding INDEL association with relapse risk, the Ins alleles of ACE, HLAG, and UGT1A1 were associated with early relapse risk, as well as the Del allele of TYMS. Regarding INDEL association with death risk before 10 years, the Ins allele of SGSM3 and UGT1A1 were associated with death risk. Conclusion: The INDEL variations in ACE, UCP2, TYMS, IL4, NFKB1, CASP8, TP53, HLAG, UGT1A1, and SGSM3 were associated with CRC risk and clinical features in an admixed population. These data suggest that this cancer panel might be useful as a complementary tool for better clinical management, and more studies need to be conducted to confirm these findings.
Epidemiological-molecular profile of variants associated with type 2 diabetes mellitus in indigenous populations from the Brazilian Amazon
(Elsevier BV, 2023-03) Monte, Natasha; Rodrigues, Juliana Carla Gomes; Vinagre, Lui Wallacy Morikawa Souza; Pastana, Lucas Favacho; Alcântara, Angélica Leite de; Leitão, Luciana Pereira Colares; Santos, André Maurício Ribeiro dos; Fernandes, Marianne Rodrigues; Santos, Andrea Kely Campos Ribeiro dos; Guerreiro, João Farias; Assumpção, Paulo Pimentel; Santos, Sidney; Souza, Sandro José de; Santos, Ney Pereira Carneiro dos
Aims: While lifestyle factors are strongly associated with Type 2 diabetes (T2DM), genetic characteristics also play a role. However, much of the research on T2DM genetics focuses on European and Asian populations, leaving underrepresented groups, such as indigenous populations with high diabetes prevalence, understudied. Methods: We characterized the molecular profile of 10 genes involved in T2DM risk through complete exome sequencing of 64 indigenous individuals belonging to 12 different Amazonian ethnic groups. Results: The analysis revealed 157 variants, including four exclusive variants in the indigenous population located in the NOTCH2 and WFS1 genes with a modifier or moderate impact on protein effectiveness. Furthermore, a high impact variant in NOTCH2 was also found. Additionally, the frequency of 10 variants in the indigenous group showed significant differences when compared to other global populations that were evaluated. Conclusion: Our study identified 4 novel variants associated with T2DM in the NOTCH2 and WFS1 genes in the Amazonian indigenous populations we studied. In addition, a variant with a high predicted impact in NOTCH2 was also observed. These findings represent a valuable starting point for conducting further association and functional studies, which could help to improve our understanding of the unique characteristics of this population
Exome sequencing of native populations from the Amazon reveals patterns on the peopling of South America
(Frontiers Media SA, 2020-10-29) Ribeiro-dos-Santos, André M.; Vidal, Amanda Ferreira; Vinasco-Sandoval, Tatiana; Guerreiro, João; Santos, Sidney; Ribeiro-dos-Santos, Ândrea; Souza, Sandro José de
Studies on the peopling of South America have been limited by the paucity of sequence data from Native Americans, especially from the east part of the Amazon region. Here, we investigate the whole exome variation from 58 Native American individuals (eight different populations) from the Amazon region and draw insights into the peopling of South America. By using the sequence data generated here together with data from the public domain, we confirmed a strong genetic distinction between Andean and Amazonian populations. By testing distinct demographic models, our analysis supports a scenario of South America occupation that involves migrations along the Pacific and Atlantic coasts. Occupation of the southeast part of South America would involve migrations from the north, rather than from the west of the continent
High-Throughput Sequencing of a South American Amerindian
(2013-12-30) Ribeiro-dos-Santos, André M.; Souza, Jorge Estefano Santana de; Almeida, Renan; Alencar, Dayse O.; Barbosa, Maria Silvanira; Gusmão, Leonor; Silva Jr., Wilson A.; Souza, Sandro José de; Silva, Artur; Ribeiro-dos-Santos, Ândrea; Darnet, Sylvain; Santos, Sidney
The emergence of next-generation sequencing technologies allowed access to the vast amounts of information that are contained in the human genome. This information has contributed to the understanding of individual and population-based variability and improved the understanding of the evolutionary history of different human groups. However, the genome of a representative of the Amerindian populations had not been previously sequenced. Thus, the genome of an individual from a South American tribe was completely sequenced to further the understanding of the genetic variability of Amerindians. A total of 36.8 giga base pairs (Gbp) were sequenced and aligned with the human genome. These Gbp corresponded to 95.92% of the human genome with an estimated miscall rate of 0.0035 per sequenced bp. The data obtained from the alignment were used for SNP (single-nucleotide) and INDEL (insertion-deletion) calling, which resulted in the identification of 502,017 polymorphisms, of which 32,275 were potentially new high-confidence SNPs and 33,795 new INDELs, specific of South Native American populations. The authenticity of the sample as a member of the South Native American populations was confirmed through the analysis of the uniparental (maternal and paternal) lineages. The autosomal comparison distinguished the investigated sample from others continental populations and revealed a close relation to the Eastern Asian populations and Aboriginal Australian. Although, the findings did not discard the classical model of America settlement; it brought new insides to the understanding of the human population history. The present study indicates a remarkable genetic variability in human populations that must still be identified and contributes to the understanding of the genetic variability of South Native American populations and of the human populations history.
Identification of NUDT15 gene variants in Amazonian Amerindians and admixed individuals from northern Brazil
(2020-04-15) Rodrigues, Juliana Carla Gomes; Souza, Tatiane Piedade de; Pastana, Lucas Favacho; Santos, André Maurício Ribeiro dos; Fernandes, Marianne Rodrigues; Pinto, Pablo; Wanderley, Alayde Vieira; Souza, Sandro José de; Kroll, José Eduardo; Pereira, Adenilson Leão; Magalhães, Leandro; Mercês, Laís Reis das; Vidal, Amanda Ferreira; Vinasco-Sandoval, Tatiana; Cavalcante, Giovanna Chaves; Guerreiro, João Farias; Assumpção, Paulo Pimentel de; Ribeiro-dos-Santos, Ândrea; Santos, Sidney; Santos, Ney Pereira Carneiro dos
Introduction The nudix hydrolase 15 (NUDT15) gene acts in the metabolism of thiopurine, by catabolizing its active metabolite thioguanosine triphosphate into its inactivated form, thioguanosine monophosphate. The frequency of alternative NUDT15 alleles, in particular those that cause a drastic loss of gene function, varies widely among geographically distinct populations. In the general population of northern Brazilian, high toxicity rates (65%) have been recorded in patients treated with the standard protocol for acute lymphoblastic leukemia, which involves thiopurine-based drugs. The present study characterized the molecular profile of the coding region of the NUDT15 gene in two groups, non-admixed Amerindians and admixed individuals from the Amazon region of northern Brazil. Methods The entire NUDT15 gene was sequenced in 64 Amerindians from 12 Amazonian groups and 82 admixed individuals from northern Brazil. The DNA was extracted using phenol-chloroform. The exome libraries were prepared using the Nextera Rapid Capture Exome (Illumina) and SureSelect Human All Exon V6 (Agilent) kits. The allelic variants were annotated in the ViVa® (Viewer of Variants) software. Results Four NUDT15 variants were identified: rs374594155, rs1272632214, rs147390019, andrs116855232. The variants rs1272632214 and rs116855232 were in complete linkage disequilibrium, and were assigned to the NUDT15*2 genotype. These variants had high frequencies in both our study populations in comparison with other populations catalogued in the 1000 Genomes database. We also identified the NUDT15*4 haplotype in our study populations, at frequencies similar to those reported in other populations from around the world. Conclusion Our findings indicate that Amerindian and admixed populations from northern Brazil have high frequencies of the NUDT15 haplotypes that alter the metabolism profile of thiopurines.
Pharmacogenomic Profile of Amazonian Amerindians
(MDPI AG, 2022-06-10) Rodrigues, Juliana Carla Gomes; Fernandes, Marianne Rodrigues; Ribeiro-dos-Santos, André Maurício; Araújo, Gilderlanio Santana de; Souza, Sandro José de; Guerreiro, João Farias; Ribeiro-dos-Santos, Ândrea; Assumpção, Paulo Pimentel de; Santos, Ney Pereira Carneiro dos; Santos, Sidney
Given the role of pharmacogenomics in the large variability observed in drug efficacy/safety, an assessment about the pharmacogenomic profile of patients prior to drug prescription or dose adjustment is paramount to improve adherence to treatment and prevent adverse drug reaction events. A population commonly underrepresented in pharmacogenomic studies is the Native American populations, which have a unique genetic profile due to a long process of geographic isolation and other genetic and evolutionary processes. Here, we describe the pharmacogenetic variability of Native American populations regarding 160 pharmacogenes involved in absorption, distribution, metabolism, and excretion processes and biological pathways of different therapies. Data were obtained through complete exome sequencing of individuals from 12 different Amerindian groups of the Brazilian Amazon. The study reports a total of 3311 variants; of this, 167 are exclusive to Amerindian populations, and 1183 are located in coding regions. Among these new variants, we found non-synonymous coding variants in the DPYD and the IFNL4 genes and variants with high allelic frequencies in intronic regions of the MTHFR, TYMS, GSTT1, and CYP2D6 genes. Additionally, 332 variants with either high or moderate (disruptive or non-disruptive impact in protein effectiveness, respectively) significance were found with a minimum of 1% frequency in the Amazonian Amerindian population. The data reported here serve as scientific basis for future design of specific treatment protocols for Amazonian Amerindian populations as well as for populations admixed with them, such as the Northern Brazilian population
Severe toxicities in amazonian populations and the role of precision medicine in acute lymphoblastic leukemia treatment
(Springer Science and Business Media LLC, 2024-11) Leitão, Luciana Pereira Colares; Monte, Natasha; Rodrigues, Juliana Carla Gomes; Freitas, Lilian Marques de; Santos, André Mauricio Ribeiro dos; Santos, Andrea Kely Campos Ribeiro dos; Santos, Sidney; Souza, Sandro José de; Fernandes, Marianne Rodrigues; Santos, Ney Pereira Carneiro dos
Corticosteroids, such as prednisone or dexamethasone, constitute integral components of antineoplastic regimens for Acute Lymphoblastic Leukemia (ALL) therapy, albeit accompanied by significant adverse effects. The multifactorial nature of interindividual variability in drug response, encompassing genetic polymorphisms, underscores the complexity of pharmacotherapy outcomes. However, pharmacogenetic investigations hitherto have predominantly focused on cohorts of European and North American descent, thus limiting the generalizability of findings to populations with minimal representation. Indigenous populations in Brazil, particularly those inhabiting the Amazon region, exhibit a distinctive genetic heritage, predominantly characterized by Native American ancestry. These populations frequently manifest suboptimal therapeutic responses and elevated mortality rates following ALL treatment. Therefore, delineating the molecular signatures of genes implicated in the corticosteroid pathway within these indigenous cohorts assumes paramount importance. This study identified novel variants within genes associated with the glucocorticoid pathway in indigenous Amazonian populations and conducted comparative analyses of variant frequencies across diverse global populations. The findings underscore the genetic uniqueness of indigenous groups and highlight the potential impact of genetic factors on adverse responses to ALL treatment. Precision medicine approaches tailored to the genetic peculiarities of indigenous populations emerge as imperative strategies for optimizing therapeutic efficacy and mitigating treatment-related toxicities in these communities
A small interfering RNA (siRNA) database for SARS-CoV-2
(2021-04-23) Medeiros, Inácio Gomes; Khayat, André Salim; Stransky, Beatriz; Santos, Sidney; Assumpção, Paulo; Souza, Jorge Estefano Santana de
Coronavirus disease 2019 (COVID-19) rapidly transformed into a global pandemic, for which a demand for developing antivirals capable of targeting the SARS-CoV-2 RNA genome and blocking the activity of its genes has emerged. In this work, we presented a database of SARS-CoV-2 targets for small interference RNA (siRNA) based approaches, aiming to speed the design process by providing a broad set of possible targets and siRNA sequences. The siRNAs sequences are characterized and evaluated by more than 170 features, including thermodynamic information, base context, target genes and alignment information of sequences against the human genome, and diverse SARS-CoV-2 strains, to assess possible bindings to off-target sequences. This dataset is available as a set of four tables, available in a spreadsheet and CSV (Comma-Separated Values) formats, each one corresponding to sequences of 18, 19, 20, and 21 nucleotides length, aiming to meet the diversity of technology and expertise among laboratories around the world. A metadata table (Supplementary Table S1), which describes each feature, is also provided in the aforementioned formats. We hope that this database helps to speed up the development of new target antivirals for SARS-CoV-2, contributing to a possible strategy for a faster and effective response to the COVID-19 pandemic
Unraveling the protective genetic architecture of COVID-19 in the Brazilian Amazon
(Springer Science and Business Media LLC, 2024-11) Barros, Maria Clara; Souza, Jorge Estefano Santana de; Gomes, Daniel Henrique Ferreira; Pinho, Catarina Torres; Silva, Caio Santos; Silva, Cintia Helena Braga da; Cavalcante, Giovanna Chaves; Magalhães, Leandro; Pinheiro, Jhully Azevedo dos Santos; Quaresma, Juarez Antônio Simões; Falcão, Luiz Fábio Magno; Costa, Patrícia Fagundes; Salgado, Cláudio Guedes; Carneiro, Thiago Xavier; Burbano, Rommel Rodrigues; Vieira, José Ricardo dos Santos; Santos, Sidney; Souza, Giordano Bruno Soares; Souza, Sandro José de; Santos, Andrea Kely Campos Ribeiro dos
Despite all the efforts acquired in four years of the COVID-19 pandemic, the path to a full understanding of the biological mechanisms involved in this disease remains complex. This is partly due to a combination of factors, including the inherent characteristics of the infection, socio-environmental elements, and the variations observed within both the viral and the human genomes. Thus, this study aimed to investigate the correlation between genetic host factors and the severity of COVID-19. We conducted whole exome sequencing (WES) of 124 patients, categorized into severe and non-severe groups. From the whole exome sequencing (WES) association analysis, four variants (rs1770731 in CRYBG1, rs7221209 in DNAH17, rs3826295 in DGKE, and rs7913626 in CFAP46) were identified as potentially linked to a protective effect against the clinical severity of COVID-19, which may explain the less severe impact of COVID-19 on the Northern Region. Our findings underscore the importance of carrying out more genomic studies in populations living in the Amazon, one of the most diverse from the point of view of the presence of rare and specific alleles. To our knowledge, this is the first WES study of admixed individuals from the Brazilian Amazon to investigate genomic variants associated with the clinical severity of COVID-19
Whole genome sequencing of the Pirarucu (Arapaima gigas) supports independent emergence of major teleost clades
(2018-07-05) Vialle, Ricardo Assunção; Souza, Jorge Estefano Santana de; Lopes, Katia de Paiva; Teixeira, Diego Gomes; Alves Sobrinho, Pitágoras de Azevedo; Ribeiro-dos-Santos, André M.; Furtado, Carolina; Sakamoto, Tetsu; Silva, Fábio Augusto Oliveira; Oliveira, Edivaldo Herculano Corrêa de; Hamoy, Igor Guerreiro; Assumpção, Paulo Pimentel; Ribeiro-dos-Santos, Ândrea; Lima, João Paulo Matos Santos; Seuánez, Héctor N.; Souza, Sandro José de; Santos, Sidney
The Pirarucu (Arapaima gigas) is one of the world's largest freshwater fishes and member of the superorder Osteoglossomorpha (bonytongues), one of the oldest lineages of ray-finned fishes. This species is an obligate air-breather found in the basin of the Amazon River with an attractive potential for aquaculture. Its phylogenetic position among bony fishes makes the Pirarucu a relevant subject for evolutionary studies of early teleost diversification. Here, we present, for the first time, a draft genome version of the A. gigas genome, providing useful information for further functional and evolutionary studies. The A. gigas genome was assembled with 103 Gb raw reads sequenced in an Illumina platform. The final draft genome assembly was approximately 661 Mb, with a contig N50 equal to 51.23 kb and scaffold N50 of 668 kb. Repeat sequences accounted for 21.69% of the whole genome, and a total of 24,655 protein-coding genes were predicted from the genome assembly, with an average of 9 exons per gene. Phylogenomic analysis based on 24 fish species supported the postulation that Osteoglossomorpha and Elopomorpha (eels, tarpons and bonefishes) are sister groups, both forming a sister lineage with respect to Clupeocephala (remaining teleosts). Divergence time estimations suggested that Osteoglossomorpha and Elopomorpha lineages emerged independently in a period of approximately 30 million years in the Jurassic. The draft genome of A. gigas provides a valuable genetic resource for further investigations of evolutionary studies and may also offer a valuable data for economic applications.

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Navegando por Autor "Santos, Sidney"