Background and objectiveBreast cancer remains the most common cause of cancer mortality in women. The aim of this study was to investigate associations between genetic variability in GSTM1 and GSTT1 and susceptibility to breast cancer.MethodsGenomic DNA was extracted from blood samples for 80 cases of histologically diagnosed breast cancer and 100 control subjects. Genotyping analyses were performed by PCR-based methods. Associations between specific genotypes and the development of breast cancer were examined using logistic regression to calculate odds ratios [1] and 95% confidence intervals (95%CI).ResultsNo correlation was found between GSTM1-null and breast cancer (OR = 1.83; 95%CI 0.90-3.71; p = 0.10), while GSTT1-null (OR = 2.42; 95%CI 1.17-5.02; p= 0.01) was associated with increased breast cancer risk. The GSTM1/GSTT1 double null was not associated with an increased risk of developing breast cancer (OR = 2.52; 95%CI 0.75-8.45; p = 0.20). Furthermore, analysis found no association between GSTM1-null (OR =1.12; 95%CI 0.08-15.50; p = 1.00) or GSTT1-null (OR = 1.71; 95%CI 0.13-22.51; p = 1.00) and the disease stage of familial breast cancer patients or sporadic breast cancer patients (GSTM1 (OR = 0.40; 95%CI 0.12-1.32; p = 0.20) and GSTT1 (OR = 1.41; 95%CI 0.39-5.12; p = 0.75)). Also, body mass index (BMI) was not associated with increased or decreased breast cancer risk in either GSTM1-null (OR = 0.60; 95%CI 0.21-1.68; p = 0.44) or GSTT1-null (OR = 0.60; 95%CI 0.21-1.68; p =0.45).ConclusionOur results suggest that only GSTT1-null is associated with increased susceptibility to breast cancer development.
Viral and bacterial infections represent an occupational risk for female sex workers. This study aimed at determining HPV coinfection with genital pathogens among female sex workers in West and Central Africa and identifying antibiotic resistance genes. A total of 182 samples from female sex workers were analyzed by real-time PCR and classic PCR. For the molecular diagnosis of HPV, the real-time multiplex amplification kit “HPV Genotypes 14 Real-TM Quant” from SACACE Biotechnologies®, detecting 14 high-risk HPV genotypes, was used, while for other pathogens, the real-time multiplex amplification kit N. gonorrhoeae/C. trachomatis/M. genitalium/T. vaginalis Real-TM, allowing their simultaneous detection, was used. The women were aged 17–50 years with an average age of 27.12 ± 6.09 years. The pathogens identified were HPV 54.94% (100/120), Neisseria gonorrhoeae (13.74%), Chlamydia trachomatis (11.54%) and Mycoplasma genitalium (11.54%). The most common HPV genotypes were HPV68, HPV38 and HPV52. The antibiotic resistance genes identified were bla QNR B 24.00%, bla GES 22.00%, bla SHV 17.00%, blaCTX-M 13.00% and bla QNR S 1.00%. This study revealed the presence of various HPV genotypes associated with other pathogens with problems of antibiotic resistance among sex workers of West and Central African origin working in Ouagadougou.
The severe acute respiratory syndrome due to the new coronavirus (SARS-CoV-2), responsible for coronavirus disease (COVID-19), has severely tested the global health response capacity, with predictions of a fatality for developing countries. To evaluate the prevalence of anti-SARS-CoV- 2 antibodies in People Living with HIV (PLHIV) with no COVID-19 symptoms in Burkina Faso. Seroprevalence was estimated by performing a qualitative screening test for SARS-CoV-2-specific immunoglobulins. The STANDARDTM Q COVID-19 IgM/IgG Combo Test kit from SD BIOSENSOR was used. Parameters like HIV plasma viral load, CD4 T cell count and C-Reactive Protein (CRP) expression were estimated. This study enrolled a total of 200 PLHIV aged 4-87 years who are asymptomatic for COVID-19. There were 36 (18%) positive for SARS-CoV-2 IgM and/or IgG of which three (1.50%) were positive for SARS-CoV-2 IgM and 33 (16.50%) for IgG. Among participants diagnosed as IgM positive, 66.67% (2/3) had the highest HIV viral loads with the lowest CD4 T cell counts (p<0.0001). The expression of CRP was relatively higher in COVID-19 IgG positive individuals (7.95±12.5 mg/L) than negative individuals (6.26±6.92 mg/L; p=0.37). The rate of IgG and IgM SARS-CoV-2 immunoglobulin carriage (18%), accompanied by a relatively high CRP levels, was revealed in this study among PLHIV. This serologic evidence and mild inflammation suggest that Burkina Faso escaped the worst, not necessarily because there were not many SARS-CoV-2 infections in its population, but because factors including genetic and environmental, might have resulted in many asymptomatic carriers.
Background Prostate cancer (Pca) is a public health problem that affects men, usually of middle age or older. It is the second most common cancer diagnosed in men and the fifth leading cause of death. The RNASEL gene located in 1q25 and identified as a susceptibility gene to hereditary prostate cancer, has never been studied in relation to prostate cancer in Burkina Faso. The aim of this study was to analyze the carriage of RNASEL R462Q and D541E mutations and risks factors in patients with prostate cancer in the Burkina Faso. Methods This case–control study included of 38 histologically diagnosed prostate cancer cases and 53 controls (cases without prostate abnormalities). Real-time PCR genotyping of R462Q and D541E variants using the TaqMan® allelic discrimination technique was used. Correlations between different genotypes and combined genotypes were investigated. Results The R462Q variant was present in 5.3% of cases and 7.5% of controls. The D541E variant was present in 50.0% of cases and 35% of controls. There is no association between R462Q variants (OR = 0.60; 95%IC, 0.10–3.51; p = 0.686) and D541E variants (OR = 2.46; 95%IC, 0.78–7.80; p = 0.121) and genotypes combined with prostate cancer. However, there is a statistically significant difference in the distribution of cases according to the PSA rate at diagnosis (p ˂ 0.001). For the Gleason score distribution, only 13.2% of cases have a Gleason score greater than 7. There is a statistically significant difference in the Gleason score distribution of cases (p ˂ 0.001). Conclusions These variants, considered in isolation or in combination, are not associated with the risk of prostate cancer.
Background Vulvovaginal candidiasis is an important cause of morbidity among women due to Candida species. In the last decades, resistance to azoles, first-line antifungals has increased. One molecular mechanism of azole resistance by Candida involves mutations in the ERG11 gene encoding lanosterol 14-α-demethylase, the target enzyme. This study was conducted to identify the clinical Candida species associated in vulvovaginal candidiasis; to determine the rate of antifungal resistance among Candida albicans isolates and to determine mutated ERG11 gene at Saint Camille Hospital in Ouagadougou, Burkina Faso. Methods Antifungals susceptibility were performed using Kirby–Bauer disk diffusion method. ERG11 gene was detected using conventional PCR in C. albicans isolates resistant to at least one azole. Results Out of 262 clinical strains isolated, C. albicans accounted for 59.90%, followed by Candida glabrata 27.86%, Candida famata 7.25%, Candida tropicalis 3.05% and Saccharomyces cerevisiae 1.91%. Resistance rate of fluconazole to C. albicans was 59.54%. ERG11 gene was found in 9.79% of 92 C. albicans strains resistant to azoles. Conclusions This detection of mutated ERG11 gene in C. albicans is the first in Burkina Faso and may be a cause of azole resistance in recurrent Candida vulvovaginitis.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.