Banca de QUALIFICAÇÃO: SUSANA PAIVA OLIVEIRA

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
STUDENT : SUSANA PAIVA OLIVEIRA
DATE: 04/10/2021
TIME: 09:00
LOCAL: Online (Google Meet)
TITLE:

ASSOCIATION STUDY OF IL10 AND IL6 GENES WITH LEPROSY IN A POPULATION FROM AGRESTE OF ALAGOAS STATE


KEY WORDS:

leprosy, SNPs, IL10, IL6.


PAGES: 31
BIG AREA: Ciências Biológicas
AREA: Genética
SUBÁREA: Genética Humana e Médica
SUMMARY:

Leprosy is a chronic infectious disease caused by the bacteria Mycobcterium leprae and mainly affects the skin and peripheral nerves. Brazil is the second country in the world in number of cases of leprosy. From 2014 to 2019, around 164,000 new cases of leprosy were reported in the country. In 2015, the Northeast region had an incidence rate of the disease (per 100,000 inhabitants) of 21.53, while Alagoas had an incidence of 10.57, considered to be very high and high endemicity rates, respectively. Despite this, there are still no published studies investigating the possible risk factors related to the occurrence of the disease in the region of Alagoas. One of the factors related to the development of leprosy is the genetic component of the host, especially SNPs in genes related to cytokines of the immune response in the pathophysiology of the disease. Previous studies have shown an association of polymorphisms in the genes of the cytokines IL-10 and IL-6. The aim of the present study was to investigate associations of cytokine genes with leprosy and to verify the correlation between associated polymorphisms and the immuno-inflammatory profile of individuals. A case-control study was carried out including leprosy patients and healthy individuals recruited in Arapiraca-AL. After that, DNA extraction from peripheral blood was performed by the salting-out method (or DNA precipitation method). From the extracted DNA, the genotyping of SNPs in these genes was performed, using allelic discrimination assays by real-time PCR. The analyzes were performed using the logistic regression model, which also allows for the inclusion of possible covariates that may introduce some kind of bias in the analyses, generating measures of genetic association with leprosy. To assess the immuno-inflammatory profile, the cytokines IL-10 and IL-6 were measured in the serum of individuals by ELISA and compared between individuals with different genetic profiles (one-way ANOVA test between medians), seeking a genetic-functional correlation . All analyzes will be performed in an R environment. As a result of population recruitment in Alagoas, we obtained 422 individuals, 158 cases and 264 controls. In polymorphisms in the population of Alagoas for the CT genotype of the SNP rs1800871 of the IL10 gene, it was observed that the CT genotype was more frequent in patients (56%) than in the control group (48%), not showing to be a significant difference, and therefore, the polymorphism was not associated with leprosy in this particular model (OR= 1.50; p-value= 0.2; CI= 0.95-2.36; OR: 1.50). The AG genotype for the rs2069845 SNP of the IL6 gene was frequent in 45% of cases and 47% of controls. According to the codominant model that evaluated the individual categories of genotypes and comparing the frequency in cases and controls, it was observed that there is no statistically significant difference between these frequencies (OR= 0.73; CI= 0.45-1.17; p-value= 0.11 ), with no association with leprosy. The cytokine dosage step is in progress with the perspective of characterizing the inflammatory profile of leprosy patients according to the SNPs genotypes in the IL10 and IL6 genes. The results will significantly contribute to the understanding of the genetic influence on leprosy, making it possible to enrich a panel of predictive markers for the development of the disease in the population of Alagoas and Brazil.


BANKING MEMBERS:
Presidente - 2269479 - CAROLINNE DE SALES MARQUES
Interno - 1298235 - EMILIANO DE OLIVEIRA BARRETO
Externa à Instituição - ANA CAROLINE MELO DOS SANTOS
Notícia cadastrada em: 24/09/2021 08:36
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