| Literature DB >> 27668294 |
Ameeta S Kalokhe1, Chris C Ibegbu2, Surinder P Kaur3, Rama R Amara2, Mary E Kelley4, Carlos Del Rio1, Rob Stephenson5.
Abstract
BACKGROUND: Biological pathways mediating the link between intimate partner violence (IPV) and increased HIV risk remain unexplored. We hypothesized that IPV-induced stress negatively affects HIV systemic immune defenses and aimed to evaluate whether IPV was associated with immune profiles linked to HIV susceptibility: CD4 activation and diminished regulatory T-cell (Treg) frequency.Entities:
Keywords: CD4-positive T-lymphocytes; HIV infections; gender-based violence; humans; intimate partner violence; lymphocyte activation; regulatory T-lymphocytes; risk; spouse abuse
Year: 2016 PMID: 27668294 PMCID: PMC5034930 DOI: 10.20411/pai.v1i1.120
Source DB: PubMed Journal: Pathog Immun ISSN: 2469-2964
Figure 1.Behavioral and biological pathways linking intimate partner violence (IPV) experience and HIV susceptibility. Established behavioral pathways linking IPV experience and HIV susceptibility (closed boxes). Potential biological pathways between IPV experience and HIV susceptibility being tested in the described studies (perforated boxes).
Supplemental Figure 1.Applied gating strategy.
Associations with CD4 activation (outcome) and demographic, behavioral, and clinical measures (predictors) in n = 75 subjects. SD = standard deviation; EDS = The Everyday Discrimination; PTSD = post-traumatic stress disorder; PSS = PTSD Symptom Scale; CES-D10 = 10-item Center for Epi-demiologic Studies of Depression Short Form; IPA = Index of Psychological Abuse; SVAWS=Severity of Violence Against Women Scale; NSAID=nonsteroidal anti-inflammatory drug; STI = sexually transmitted disease; ‖Income was measured as a 4-level variable where income < $10,000=1, $10,000 - 20,000 = 2, $20,000 - 40,000 = 3, and > $40,000 = 4.
| Variable | Mean (SD) | Rho | P | ||
|---|---|---|---|---|---|
| Age, (years) | 34.1 (8.5) | 0.181 | 0.121 | ||
| Income‖ | 1.4 (0.7) | 0.025 | 0.832 | ||
| Discrimination (EDS score) | 17.6 (7.1) | −0.187 | 0.109 | ||
| PTSD (PSS score) | 23.5 (13.8) | 0.247 | |||
| Depression (CES-D10 score) | 13.6 (6.8) | 0.125 | 0.286 | ||
| Psychological abuse (IPA score) | |||||
| Lifetime | 19.0 (9.5) | 0.326 | |||
| Past-year | 36.6 (24.2) | 0.261 | |||
| Physical abuse (SVAWS subscore) | |||||
| Lifetime | 18.6 (11.3) | 0.312 | |||
| Past-year | 28.6 (25.2) | 0.287 | |||
| Sexual abuse (SVAWS subscore) | |||||
| Lifetime | 2.2 (2.1) | 0.228 | |||
| Past-year | 3.3 (4.6) | 0.113 | 0.333 | ||
| Cortisol | 8.1 (4.9) | 0.025 | 0.835 | ||
Figure 2.Association between past-year intimate partner violence (IPV) experience and CD4 Representative flow diagrams demonstrating CD4+ T-cell activation (%HLA-DR+/CD38+) in the whole blood of two donors with low versus high reporting of past-year IPV experience. (B) Summary data from 75 HIV high-risk women demonstrating past-year IPV reporting is significantly associated with CD4+ T-cell activation (%HLADR+/CD38+) in whole blood. (C) Representative flow diagrams depicting frequencies of CD4+ T-cell memory phenotypes using CD27 and CD45RA markers in the whole blood of two donors with low versus high reporting of past-year IPV experience, and (D) Summary data from 75 HIV high-risk women demonstrating past-year IPV reporting is significantly associated with an increase in CD4+ effector memory T-cell population (%CD27-CD45RA-).
Figure 3.Association between lifetime intimate partner violence (IPV) experience and CD4 Representative flow diagrams demonstrating CD4+ T-cell activation (%HLA-DR+/CD38+) in the whole blood of two donors with low versus high reporting of lifetime IPV experience. (B) Summary data from 75 HIV high-risk women demonstrating lifetime IPV reporting is significantly associated with CD4+ T-cell activation (%HLA-DR+/ CD38+) in whole blood. (C) Representative flow diagrams depicting frequencies of CD4+ T-cell memory phenotypes using CD27 and CD45RA markers in the whole blood of two donors with low versus high reporting of lifetime IPV experience, and (D) Summary data from 75 HIV high-risk women demonstrating lifetime IPV reporting is significantly associated with an increase in CD4+ effector memory T-cell population (%CD27-CD45RA-).
Figure 4.Association between past-year intimate partner violence (IPV) experience and regulatory (CD4 Representative flow diagrams demonstrating frequencies of regulatory (CD4+Foxp3+CD25+) T-cells in the PBMC of two donors with low versus high reporting of past-year IPV experience. (B) Summary data from 75 HIV high-risk women demonstrating past-year IPV experience was not significantly associated with frequency of regulatory (CD4+FoxP3+CD25+) T-cells in PBMC. (C) Representative flow diagrams depicting frequencies of regulatory (CD4+FoxP3+CD25+) T-cell phenotypes using CD45RA and HLA-DR markers in the PBMC of two donors with low versus high reporting of past-year IPV experience. (D) Summary data from 75 HIV high-risk women demonstrating past-year IPV experience is negatively associated with the frequency of naïve regulatory T-cells (HLA-DR-CD45RA+CD4+FoxP3+CD25+) in PBMC.
Figure 5.Association between lifetime intimate partner violence (IPV) experience and regulatory (CD4 Representative flow diagrams demonstrating frequencies of regulatory (CD4+Foxp3+CD25+) T-cells in the PBMC of two donors with low versus high reporting of lifetime IPV experience. (B) Summary data from 75 HIV high-risk women demonstrating lifetime IPV experience was not significantly associated with frequency of regulatory (CD4+FoxP3+CD25+) T-cells in PBMC. (C) Representative flow diagrams depicting frequencies of regulatory (CD4+FoxP3+CD25+) T-cell phenotypes using CD45RA and HLA-DR markers in the PBMC of two donors with low versus high reporting of lifetime IPV experience. (D) Summary data from 75 HIV high-risk women demonstrating lifetime IPV experience is negatively associated with the frequency of naïve regulatory T-cells (HLA-DR-CD45RA+CD4+FoxP3+CD25+) in PBMC.