Department of Psychiatry
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Browsing Department of Psychiatry by Author "Abrahams, Naeemah"
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- ItemGenome-wide differentially methylated genes associated with posttraumatic stress disorder and longitudinal change in methylation in rape survivors(Springer Nature, 2019) Nothling, Jani; Abrahams, Naeemah; Toikumo, Sylvanus; Suderman, Matthew; Mhlongo, Shibe; Lombard, Carl; Seedat, Soraya; Hemmings, Sian Megan JoannaENGLISH ABSTRACT: Rape is associated with a high risk for posttraumatic stress disorder (PTSD). DNA methylation changes may confer risk or protection for PTSD following rape by regulating the expression of genes implicated in pathways affected by PTSD. We aimed to: (1) identify epigenome-wide differences in methylation profiles between rape-exposed women with and without PTSD at 3-months post-rape, in a demographically and ethnically similar group, drawn from a low-income setting; (2) validate and replicate the findings of the epigenome-wide analysis in selected genes (BRSK2 and ADCYAP1); and (3) investigate baseline and longitudinal changes in BRSK2 and ADCYAP1 methylation over six months in relation to change in PTSD symptom scores over 6 months, in the combined discovery/validation and replication samples (n = 96). Rape-exposed women (n = 852) were recruited from rape clinics in the Rape Impact Cohort Evaluation (RICE) umbrella study. Epigenome-wide differentially methylated CpG sites between rape-exposed women with (n = 24) and without (n = 24) PTSD at 3-months post-rape were investigated using the Illumina EPIC BeadChip in a discovery cohort (n = 48). Validation (n = 47) and replication (n = 49) of BRSK2 and ADCYAP1 methylation findings were investigated using EpiTYPER technology. Longitudinal change in BRSK2 and ADCYAP1 was also investigated using EpiTYPER technology in the combined sample (n = 96). In the discovery sample, after adjustment for multiple comparisons, one differentially methylated CpG site (chr10: 61385771/ cg01700569, p = 0.049) and thirty-four differentially methylated regions were associated with PTSD status at 3-months post-rape. Decreased BRSK2 and ADCYAP1 methylation at 3-months and 6-months post-rape were associated with increased PTSD scores at the same time points, but these findings did not remain significant in adjusted models. In conclusion, decreased methylation of BRSK2 may result in abnormal neuronal polarization, synaptic development, vesicle formation, and disrupted neurotransmission in individuals with PTSD. PTSD symptoms may also be mediated by differential methylation of the ADCYAP1 gene which is involved in stress regulation. Replication of these findings is required to determine whether ADCYAP1 and BRSK2 are biomarkers of PTSD and potential therapeutic targets.
- ItemIncrease in HIV incidence in women exposed to rape(Wolters Kluwer Health, 2021-03) Mhlongo, Shibe; Abrahams, Naeemah; Mhlongo, Shibe; Dunkle, Kristin; Chirwa, Esnat; Lombard, Carl; Seedat, Soraya, 1966-; Kengne, Andre P.; Myers, Bronwyn; Peer, Nasheeta; Garcia-Moreno, Claudia; Jewkes, RachelObjective: To determine the incidence of HIV acquisition in women postrape compared with a cohort of women who had not been raped. Design: A prospective cohort study. Methods: The Rape Impact Cohort Evaluation study based in Durban, South Africa, enrolledwomen aged 16–40 years from postrape care services, and a control group of women from Primary Healthcare services. Women who were HIV negative at baseline (441 in the rape-exposed group and 578 in the control group) were followed for 12–36 months with assessments every 3 months in the first year and every 6months thereafter. Multivariable Cox regression models adjusted for baseline and time varying covariates were used to investigate the effect of rape exposure on HIV incidence over follow-up. Results: Eighty-six women acquired HIV during 1605.5 total person-years of follow-up, with an incident rate of 6.6 per 100 person-years [95% confidence interval (CI): 4.8–9.1] among the rape exposed group and 4.7 per 100 person-years (95% CI: 3.5–6.2) among control group. After controlling for confounders (age, previous trauma, social support, perceived stress, multiple partners and transactional sex with a casual partner), women exposed to rape had a 60% increased risk of acquiring HIV [adjusted hazard ratio: 1.59 (95% CI: 1.01–2.48)] compared with those not exposed. Survival analysis showed difference in HIV incident occurred after month 9. Conclusion: Rape is a long-term risk factor for HIV acquisition. Rape survivors need both immediate and long-term HIV prevention and care.
- ItemStudy protocol for a longitudinal study evaluating the impact of rape on women's health and their use of health services in South Africa(BMJ Publishing Group, 2017-09) Abrahams, Naeemah; Seedat, Soraya; Lombard, Carl; Kengne, Andre P.; Myers, Bronwyn; Sewnath, Alesha; Mhlongo, Shibe; Ramjee, Gita; Peer, Nasheeta; Garcia-Moreno, Claudia; Jewkes, RachelIntroduction South Africa is a country known for its high levels of HIV infection and sexual violence. Although the interface between gender-based violence, HIV and mental health has been described, there are substantial gaps in knowledge of the medium-term and long-term health impact. The 2010 Global Burden of Disease study excluded many health outcomes associated with rape and other forms of gender-based violence because systematic reviews revealed huge gaps in data and poor evidence of health effects. This study aims to describe the incidence and attributable burden of physical and mental health problems (including HIV acquisition) in adult women over a 2-year postrape period, through comparison with a cohort of women who have not been raped. The study will substantially advance our understanding of the impact of rape and will generate robust data to assist in the development of postrape health services and the delivery of evidence-based care. Methods and analysis This longitudinal study seeks to recruit 1008 rape-exposed and 1008 rape non-exposed women. Women were recruited from health services, and assessments were carried out at baseline, 3, 6, 9, 12, 18 and 24 months. Outcome measures include exposure to risk factors; mental health status; cardio-metabolic risks; and biomarkers for HIV, sexually transmitted infections, pregnancy and stress. The primary analysis will be to compare HIV incidence in the two groups using log-rank tests. Appropriate models to predict health outcomes over time will also be applied.