Association of CYP2B6 Genetic Variation with Efavirenz and Nevirapine Drug Resistance in HIV-1 Patients from Botswana

Association between maternal HIV status and postpartum depressive symptoms in Botswana

Few studies have evaluated postpartum depression (PPD) in women living with HIV (WLHIV) in Botswana, a high prevalence HIV setting. The Edinburgh Postnatal Depression Scale (EPDS) was used to evaluate PPD symptoms in WLHIV (n = 300) and women who are HIV-uninfected (n = 131) in the Tshilo Dikotla study, an observational cohort study with a nested randomized trial. The EPDS was administered at 2, 6, and 12 months postpartum. We assessed the association of (1) HIV infection and (2) antiretroviral therapy (ART) with odds of PPD symptoms (EPDS ≥ 10 or thoughts of self-harm) in the first year postpartum using generalized estimating equations. Of WLHIV, 24 (8.00%) had PPD symptoms at one or more follow-up time points, compared to 9 (6.9%) women who were HIV-seronegative. There was no association between HIV status and PPD symptoms (adjusted odds ratio [aOR]:1.69, 95% confidence interval [CI]: 0.73-3.93, p = 0.225); however, WLHIV on efavirenz-based ART regimens had higher odds of experiencing PPD symptoms compared to dolutegravir-based ART (aOR:3.05, 95% CI:1.16-8.03, p = 0.024).

Pharmacogenetics of Breast Cancer Treatments: A Sub-Saharan Africa Perspective

Breast cancer is the most frequent cause of cancer death in low- and middle-income countries, in particular among sub-Saharan African women, where response to available anticancer treatment therapy is often limited by the recurrent breast tumours and metastasis, ultimately resulting in decreased overall survival rate. This can also be attributed to African genomes that contain more variation than those from other parts of the world. The purpose of this review is to summarize published evidence on pharmacogenetic and pharmacokinetic aspects related to specific available treatments and the known genetic variabilities associated with metabolism and/or transport of breast cancer drugs, and treatment outcomes when possible. The emphasis is on the African genetic variation and focuses on the genes with the highest strength of evidence, with a close look on CYP2A6, CYP2B6, CYP2C8, CYP2C9, CYP2C19, CYP2D6, CYP3A4/5, CYP19A1, UGT1A4, UGT2B7, UGT2B15, SLC22A16, SLC38A7, FcγR, DPYD, ABCB1, and SULT1A1, which are the genes known to play major roles in the metabolism and/or elimination of the respective anti-breast cancer drugs given to the patients. The genetic variability of their metabolism could be associated with different metabolic phenotypes that may cause reduced patients’ adherence because of toxicity or sub-therapeutic doses. Finally, this knowledge enhances possible personalized treatment approaches, with the possibility of improving survival outcomes in patients with breast cancer.