Association between genetic variations at 8q24 and prostate cancer risk in Mexican Men.

BACKGROUND: Variants of 8q24 locus have been associated with prostate cancer (PCa) susceptibility. This study aims to analyze the genetic basis of PCa susceptibility in Mexican men by analyzing SNPs in the 8q24 locus for the first time. METHODS: A case-control study was performed in 875 men recruited from the Mexican Social Security Institute, 326 patients with PCa, and 549 non-PCa patients (88 with benign prostatic hyperplasia BPH and 461 healthy controls). The 8q24 locus SNPs: rs16901979, rs16983267, rs1447295, and rs7837328 were genotyped by allelic discrimination assays using TaqMan probes. Statistical analysis was performed using Epi Info statistical 7.0 and SNPstats softwares. RESULTS: All genotype frequencies were in Hardy-Weinberg Equilibrium. No differences were observed in genotype distribution between PCa and non-PCa patients for rs6983267. Under different inheritance models, the rs16901979, rs1447295, and rs7837328 SNPs were associated with PCa (OR = 2.8, 1.8, and 1.72, respectively; Pc < 0.001) when comparing PCa patients against controls. This association remains between PCa and BPH patients under different models (OR = 8.5, 2.2, and 1.9, respectively; Pc < 0.001). There were no significant differences in allele and genotype distribution among BPH patients and controls. The combined effect of the alleles CGAA for the SNPs rs16901979, rs6983267, rs1447295, and rs7837328 showed significant differences between PCa patients and controls (OR = 2.9, 95% CI = 1.48-5.83, Pc = 0.008). Four 8q24 variants were not associated with D'Amico score, age at diagnosis, and bone metastases. CONCLUSIONS: Our study provides the first confirmation that variants rs16901979, rs1447295, and 7837328 at 8q24 locus are associated with PCa susceptibility in Mexican men.

Analysis of influenza data generated by four epidemiological surveillance laboratories in Mexico, 2010-2016.

The disease caused by the influenza virus is a global public health problem due to its high rates of morbidity and mortality. Thus, analysis of the information generated by epidemiological surveillance systems has vital importance for health decision making. A retrospective analysis was performed using data generated by the four molecular diagnostic laboratories of the Mexican Social Security Institute between 2010 and 2016. Demographics, influenza positivity, seasonality, treatment choices and vaccination status analyses were performed for the vaccine according to its composition for each season. In all cases, both the different influenza subtypes and different age groups were considered separately. The circulation of A/H1N1pdm09 (48.7%), influenza A/H3N2 (21.1%), influenza B (12.6%), influenza A not subtyped (11%) and influenza A/H1N1 (6.6%) exhibited well-defined annual seasonality between November and March, and there were significant increases in the number of cases every 2 years. An inadequate use of oseltamivir was determined in 38% of cases, and the vaccination status in general varied between 12.1 and 18.5% depending on the season. Our results provide current information about influenza in Mexico and demonstrate the need to update both operational case definitions and medical practice guidelines to reduce the inappropriate use of antibiotics and antivirals.

Comparison of gene expression profiles between pansensitive and multidrug-resistant strains of Mycobacterium tuberculosis.

Mycobacterium tuberculosis has developed resistance to anti-tuberculosis first-line drugs. Multidrug-resistant strains complicate the control of tuberculosis and have converted it into a worldwide public health problem. Mutational studies of target genes have tried to envisage the resistance in clinical isolates; however, detection of these mutations in some cases is not sufficient to identify drug resistance, suggesting that other mechanisms are involved. Therefore, the identification of new markers of susceptibility or resistance to first-line drugs could contribute (1) to specifically diagnose the type of M. tuberculosis strain and prescribe an appropriate therapy, and (2) to elucidate the mechanisms of resistance in multidrug-resistant strains. In order to identify specific genes related to resistance in M. tuberculosis, we compared the gene expression profiles between the pansensitive H37Rv strain and a clinical CIBIN:UMF:15:99 multidrug-resistant isolate using microarray analysis. Quantitative real-time PCR confirmed that in the clinical multidrug-resistant isolate, the esxG, esxH, rpsA, esxI, and rpmI genes were upregulated, while the lipF, groES, and narG genes were downregulated. The modified genes could be involved in the mechanisms of resistance to first-line drugs in M. tuberculosis and could contribute to increased efficiency in molecular diagnosis approaches of infections with drug-resistant strains.