| Literature DB >> 36215260 |
Jacqueline Hernandez1, Javier A Tamargo1, Sabrina Sales Martinez1, Haley R Martin1, Adriana Campa1, Rafick-Pierre Sékaly2, Rebeka Bordi2, Kenneth E Sherman3, Susan D Rouster3, Heidi L Meeds3, Jag H Khalsa4, Raul N Mandler5, Shenghan Lai6, Marianna K Baum1.
Abstract
OBJECTIVE: Determine if cocaine use impacts gut permeability, promotes microbial translocation and immune activation in people living with HIV (PLWH) using effective antiretroviral therapy (ART).Entities:
Mesh:
Substances:
Year: 2022 PMID: 36215260 PMCID: PMC9550062 DOI: 10.1371/journal.pone.0275675
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.752
Participant’s characteristics.
| Characteristics | Total | Cocaine Non-users | Cocaine Users | P value |
|---|---|---|---|---|
| (N = 100) | (N = 63) | (N = 37) | ||
| 53.4±6.9 | 52.8±7.4 | 54.3±5.8 | 0.304 | |
| 53.0% | 55.6% | 48.7% | 0.504 | |
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| African American | 66.0% | 57.6% | 42.4% |
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| Hispanic | 29.0% | 33.3% | 21.6% | 0.213 |
| White | 28.0% | 34.9% | 16.2% | 0.100 |
| Other | 6.0% | 6.4% | 5.4% | 0.603 |
| 1.75±0.33 | 1.78±0.32 | 1.70±0.36 | 0.549 | |
|
| 78% | 69.7% | 30.3% | 0.207 |
|
| 22% | 54.5% | 45.5% | 0.142 |
| 17.2±7.3 | 18.0±7.2 | 15.6±7.1 | 0.150 | |
| 641.7±354.1 | 633.4±305.6 | 655.9±428.5 | 0.780 | |
|
| 47.0% | 36.5% | 64.9% |
|
| 2 (0, 5) | 1 (0, 3) | 2 (0, 6) | 0.284 | |
| 28.7±5.8 | 29.0±5.9 | 28.2±5.6 | 0.520 | |
| 37.0% | 38.1% | 35.1% | 0.767 | |
| 0.59±0.23 | 0.53±0.24 | 0.72±0.12 |
| |
| 2515.83± 1072.95 | 2337.56±1072.95 | 2866.97±798.06 |
| |
| 1038.47±424.2 | 1021.81±402.55 | 1080.73±480.7 | 0.552 | |
| 7.95±2.94 | 7.70±2.52 | 8.58±3.81 | 0.291 | |
| 635.71±418.52 | 613.25±431.73 | 692.74±385.01 | 0.393 | |
| 3.70±3.57 | 3.58±3.63 | 3.94±3.48 | 0.638 | |
| 8.02 (5.76–11.44) | 8.31 (5.78–11.44) | 7.48 (3.05–11.47) | 0.445 | |
| 0.7 (6.6–50.8) | 24.8 (8.5–55.5) | 4.9 (3.3–28.3) | 0.453 |
Bold indicates statistical significance at P < 0.05.
aData are summarized as mean ± standard deviation (or median [interquartile range]) for continuous variables and No. (%) for categorical outcomes.
bBetween group comparisons consisted of T-tests (or Wilcoxon Rank-Sum Test) for continuous variables and Chi-square Tests for categorical variables.
Correlation matrix.
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| 0.117 | -0.084 | 0.093 | -0.047 | 0.010 | 0.191 | -0.139 | 0.014 |
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| - |
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| -0.186 | -0.132 | 0.183 | -0.010 | 0.197 | 0.066 |
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| - |
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| -0.066 | -0.152 | 0.061 | 0.036 | -0.057 | 0.065 |
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| - | - | - | -0.022 | 0.097 | -0.058 | -0.181 | -0.093 | -0.109 |
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| - | - | - | - | 0.123 | -0.088 |
| 0.023 | 0.133 |
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| - | - | - | - | - | -0.079 | 0.068 | -0.084 |
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| - | - | - | - | - | - |
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| - | - | - | - | - | - | - |
| 0.125 |
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| - | - | - | - | - | - | - |
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Bold indicates statistical significance at p < 0.05.
aPearman’s correlation, unless otherwise specified
bLog-transformed
cSpearman’s correlation
*P < 0.05
**P < 0.01
Fig 1Comparison of gut permeability, microbial translocation, immune activation, and inflammatory markers between cocaine users and non-users.
Bold indicates statistical significance at P < 0.05. Microbial translocation: a) LPS. Gut permeability: b) I-FABP. Immune activation: c) sCD14, d) sCD27, e) sCD163. Inflammation: f) hs-CRP, g) TNF-α, h) IL-6.
Associations between cocaine use, gut integrity damage, microbial translocation and immune activation.
| I-FABP | LPS | sCD14 | sCD27 | sCD163 | ||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| B | SD | t | P | B | SD | t | P | B | SD | t | P | B | SD | t | P | B | SD | t | P | |
| Cocaine use | 0.24 | 0.11 | 2.17 |
| 0.39 | 0.11 | 3.88 |
| 0.02 | 0.11 | 0.19 | 0.850 | 0.08 | 0.09 | 0.89 | 0.371 | 0.44 | 0.16 | 2.65 |
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| IFABP | 0.12 | 0.11 | 1.05 | 0.296 | -0.13 | 0.10 | -1.15 | 0.252 | 0.16 | 0.08 | 1.48 | 0.142 | 0.02 | 0.15 | 0.24 | 0.808 | ||||
| LPS | -0.12 | 0.09 | -1.07 | 0.285 | -0.01 | 0.07 | -0.14 | 0.866 | -0.09 | 0.14 | -0.84 | 0.401 | ||||||||
Bold indicates statistical significance at P < 0.05.
a Estimates are adjusted for age, sex, race, CD4 cell count, suppressed HIV viral load (20–200 copies/mL), and cigarette smoking.
bLog-transformed
Logistic regression analysis predicting the likelihood of high levels of gut integrity damage and microbial translocation in cocaine users living with HIV.
| Variable | Cocaine Users | |||
|---|---|---|---|---|
| Unadjusted OR (95% CI) | P-value | Adjusted OR | P-value | |
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| 2.69 (0.94–5.11) | 0.069 | 2.20 (0.89–5.45) | 0.087 | |
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| 4.86 (1.95–12.1) |
| 5.15 (1.89–13.9) |
| |
Bold indicates statistical significance at P < 0.05.
a Reference category non-cocaine users
b Estimates are adjusted for age, sex, race, CD4 cell count, suppressed HIV viral load (20–200 copies/mL), and cigarette smoking.