| Literature DB >> 26925299 |
Saurabh Mehandru1, Sherry Deren2, Sung-Yeon Kang2, Angela Banfield2, Aakash Garg1, Donald Garmon3, Melissa LaMar3, Teresa H Evering3, Martin Markowitz3.
Abstract
OBJECTIVE: Injection drug use (IDU) remains a major risk factor for HIV-1 acquisition. The complex interplay between drug use, non-sterile injection, and Hepatitis C remains poorly understood. We conducted a pilot study to determine the effect of IDU on immune parameters among HIV-uninfected and -infected individuals. We hypothesized that IDU could further augment immunological changes associated with HIV-1 infection, which could in turn affect HIV pathogenesis.Entities:
Keywords: HIV; Immune activation; Injection drug use; Mucosal
Year: 2015 PMID: 26925299 PMCID: PMC4765000 DOI: 10.4172/2155-6105.1000257
Source DB: PubMed Journal: J Addict Res Ther
Socio-demographic clinical characteristics of the study volunteers (N=50)
| HIV-uninfected | HIV-uninfected | HIV-infected non-IDUs | HIV-infected IDUs | |
|---|---|---|---|---|
| Gender (% male) | 61.5 | 68.4 | 87.5 | 90.0 |
| Age (mean yrs, sd) | 39.0 (9.5) | 37.4 (8.5) | 40.5 (8.6) | 42.1 (8.1) |
| Race/Ethnicity (%) | ||||
| Black | 15.4 | 10.5 | 75.0 | 20.0 |
| Hispanic | 69.2 | 73.7 | 25.0 | 80.0 |
| White | 15.4 | 15.8 | 0 | 0 |
| Education (%) | ||||
| <HS | 7.7 | 42.1 | 25.0 | 50.0 |
| GED/HS | 23.1 | 36.8 | 25.0 | 50.0 |
| >HS | 69.2 | 21.1 | 50.0 | 0 |
| Homelessness (%) | 0 | 10.5 | 0 | 0 |
| HIV viral load (copies/ml plasma), mean, (range) | <48 | <48 | 58,409 (13,571–214,696) | 63,046 (7,259–111,609) |
| CD4 count (cells/mm3), mean, (range) | 925 (442–1449) | 950 (456–2021) | 456 (37–645) | 264 (9–819) |
| HCV-infected (number, %) | 0/13 | 14/19 (74) | 1/8 (12) | 9/10 (90) |
p<0.05;
Note: Significance tests used: Fisher’s exact test for categorical variables and one-way ANOVA for continuous variables.
Injection & non-injection behaviours by HIV-non-infected vs. HIV-infected IDUs (prior 30 days)
| HIV-non- | HIV-infected | |
|---|---|---|
| Duration of IDU (years, SD) | 13.5 (8.7) | 19.6 (14.3) |
| Frequency of injection (#/mo) | 160.9 (219.7) | 147.1 (127.4) |
| Drugs injected (%) | ||
| Heroin | 89.5 | 100 |
| Cocaine | 63.2 | 90 |
| Speedball | 47.4 | 80 |
| Other | 36.8 | 10 |
| Shared needles/syringes (%) | 57.9 | 20 |
| Shared other paraphernalia (%) | 63.2 | 70 |
| Non-injecting drug use (%) | ||
| Heroin | 10.5 | 50 |
| Cocaine/crack | 26.3 | 40 |
| Methadone | 73.7 | 70 |
| Other drugs | 63.2 | 90 |
p<0.05,
Note: Significance tests used: Fisher’s exact test for categorical variables and 2-tailed t-test for continuous variables
Figure 1Impact of IDU on T cell subsets in the peripheral blood and the GI tract. (a) Percentage of CD4+ T cells (left panel) and CD8+ T cells (right panel) from Group 1 (non-IDUs, HIV-uninfected, n=13); Group 2 (HIV-1 uninfected IDUs, n=19); Group 3 (HIV-1 infected, viremic, non-IDUs, n=8) and Group 4 (HIV-1 infected, viremic, IDUs n=10). PBMCs are depicted by dark circles and MMC by open grey circles. Red horizontal bars represent the mean per group examined.
Figure 2Cumulative data comparing the percentage of CD3+CD38+ cells (y-axis) between groups 1–4 (x-axis). PBMCs are depicted by dark circles and MMC by open grey circles. Red horizontal bars represent the mean per group examined.
Figure 3Cumulative data comparing the percentage of CD3+Ki67+ cells (y-axis) between groups 1–4 (x-axis). PBMCs are depicted by dark circles and MMC by open grey circles. Red horizontal bars represent the mean per group examined
Figure 4Effect of IDU on plasma levels of sCD14. Levels of sCD14 (ng/ml, y-axis) from Group 1 (non-IDUs, HIV-uninfected, n=13); Group 2 (HIV-1 uninfected IDUs, n=19); Group 3 (HIV-1 infected, viremic, non-IDUs, n=8) and Group 4 (HIV-1 infected, viremic, IDUs n=10) (x-axis). Each of the symbols represents individual data points and the horizontal red line shows the mean for each of the groups.