Molecular diagnosis of infectious diseases in São Miguel Island (Azores, Portugal): A hospital-based descriptive study.

INTRODUCTION: We performed a descriptive analysis of molecular diagnosis of infectious agents in the São Miguel Island population, in order to address questions like what is the frequency of clinical requests, is it observable seasonality of pathogens, and what is the positive rate for the clinical diagnosis. METHODOLOGY: This was a retrospective and descriptive study based on 878 individuals suspected of harboring infectious diseases during two consecutive years, 2012-2013. More than 25 different pathogens were investigated by polymerase chain reaction (PCR)-based methods. The individuals were stratified into gender, occupation, and age groups. RESULTS: The pathogen with more clinical requests was hepatitis C virus, investigated in 225 individuals (30.0%), followed by Leptospira spp., in 187 (24.9%). Overall, data demonstrated a gender distribution bias, where 72.9% of cases were males. The age group of 25 to 44 years was the class with more clinical requests. Regarding occupation, a predominance of construction workers (12.0%) was observed, followed by retired workers (11.0%). Patient distribution per year showed a higher number of patients in the fall months. Diagnoses of leptospirosis and respiratory virus infections presented seasonality. CONCLUSIONS: The present study provides a valid contribution to the knowledge of the epidemiology of infectious diseases in the São Miguel Island (Azores, Portugal) population.

Three multiplex snapshot assays for SNP genotyping in candidate innate immune genes.

BACKGROUND: Innate immune system is the first line of research when studying immune response to diverse infections and autoimmune/inflammatory diseases. This immune response has been reported to be genetically diverse, due to polymorphisms coded by different genes. For this reason, our purpose was to develop a multiplex assay that allows the genotyping of candidate single nucleotide polymorphisms (SNPs) in innate immune genes. FINDINGS: We developed three multiplex PCR panels coupled with the minisequencing (SNaPshot) technique (multiplex PCR, multiplex primer extension, and capillary electrophoresis). The panels were tested in a sample set composed of 100 anonymous DNAs from healthy blood donors living in São Miguel Island (Azores, Portugal). Sixteen relevant SNPs among nine genes of the innate immune system--IL1α, IL1ß, IL6, IL10, IL12RB1, TLR2, TLR4, TLR9 and CD14--were genotyped and validated by direct sequencing, with the exception of one that was undetected by minisequencing. We suggest that these panels can be used in future studies for detection of risk gene variants in several populations and/or diseases. CONCLUSIONS: In summary, we propose a multiplex assay that is able to identify the most frequent candidate SNPs in innate immune genes, using a medium scale genotyping platform. The assays can be used to evaluate the risk gene variants in populations of various geographic origins.

UGT1A1, UGT1A6 and UGT1A7 genetic analysis: repercussion for irinotecan pharmacogenetics in the São Miguel Island Population (Azores, Portugal).

BACKGROUND: Glucuronidation reactions, catalyzed by uridine-diphosphate glucuronosyltransferase (UGT) enzymes, constitute a detoxification process that adds glucuronic acid to endogenous and exogenous compounds, aiding their excretion. UGT1A proteins have been implicated as risk factors for both the development of cancer and adverse drug effects. METHODS: Here, we assess the genome of 469 individuals from São Miguel Island (Azores, Portugal) in order to determine the frequencies of polymorphisms and haplotypes in UGT1A1, UGT1A6, and UGT1A7, the co-occurrence of reduced enzyme activity UGT1A variants related to irinotecan toxicity, and to calculate the extent of linkage disequilibrium (LD) in the genomic region encompassing these genes. RESULTS: Allelic analysis disclosed the presence of rare alleles - UGT1A1*36 and UGT1A1*37--only found in individuals of African descent, and UGT1A7*4. These alleles confirm our previous results on the São Miguel Island genetic background. We identified five different genotypes in UGT1A1 and UGT1A6 and nine in UGT1A7. Haplotype analysis showed that three haplotypes constituted approximately 80% of the allelic variants. Interestingly, haplotype 3 (UGT1A1*28-UGT1A6*2-UGT1A7*3), with a frequency of 0.235, gathers the three alleles encoding the low-function UGT isoforms. Additionally, LD indicates a strong interaction between functional polymorphisms related to the alteration of the UGT enzyme activity. CONCLUSIONS: In summary, the results demonstrate a high variability of alleles and haplotypes, which have important roles in modifying expression and activity of UGTs. The data presented here could improve the understanding of the predisposition to cancers and susceptibility to the adverse effects of irinotecan in the São Miguel Island population.