| Literature DB >> 31844807 |
Jose F Camargo1, Suresh Pallikkuth2, Ilona Moroz1, Yoichiro Natori1, Maria L Alcaide1, Allan Rodriguez1, Giselle Guerra3, George W Burke3, Savita Pahwa2.
Abstract
INTRODUCTION: HIV-positive (HIV+) kidney transplant recipients exhibit a 2- to 3-fold increased risk of allograft rejection. Dysregulated immune activation in HIV infection persists despite successful antiretroviral therapy and is associated with non-AIDS morbidity, including renal disease. We hypothesized that the pathological levels of inflammation and immune activation associated with chronic HIV infection could have clinical utility in the prediction of rejection in HIV+ kidney recipients.Entities:
Keywords: C-reactive protein; HIV; T-cell activation; kidney transplant; rejection; sTNF-R1
Year: 2019 PMID: 31844807 PMCID: PMC6895601 DOI: 10.1016/j.ekir.2019.08.006
Source DB: PubMed Journal: Kidney Int Rep ISSN: 2468-0249
Baseline characteristics of study participants
| Variable | All patients | Rejection | Composite outcome | ||
|---|---|---|---|---|---|
| Yes | No | Yes | No | ||
| Demographics | |||||
| Age, yr, median (IQR) | 47 (40–61) | 50 (48–58) | 45 (40–61) | 49 (44–56) | 44 (39–62) |
| Male sex | 16 (72) | 3 (100) | 13 (68) | 7 (88) | 9 (64) |
| African American | 20 (91) | 3 (100) | 17 (89) | 7 (88) | 13 (93) |
| Time on dialysis before transplantation, yr, median (IQR) | 7 (2–9) | 8 (7–18) | 7 (2–9) | 8 (7–13) | 7 (2–9) |
| HIV infection | |||||
| Pretransplant CD4 count, cells/mm3, median (IQR) | 453 (336–716) | 429 (349–467) | 475 (298–741) | 452 (369–656) | 457 (293–762) |
| Pretransplant HIV viral load, <50 copies/ml | 22 (100) | 3 (100) | 19 (100) | 8 (100) | 14 (100) |
| Time from HIV diagnosis, yr, median (IQR) | 17 (10–23) | 26 (13–28) | 14 (9–23) | 20 (13–25) | 13 (9–23) |
| Protease inhibitor–containing regimen, pretransplant | 14 (64) | 3 (100) | 11 (58) | ||
| Protease inhibitor–containing regimen, post-transplant | 2 (9) | 0 | 2 (11) | 1 (13) | 1 (7) |
| Comorbidities | |||||
| Hepatitis C | 6 (27) | 0 | 6 (32) | 0 | 6 (43) |
| Diabetes mellitus | 6 (27) | 1 (33) | 5 (26) | 3 (38) | 3 (21) |
| Hypertension | 12 (55) | 3 (100) | 9 (47) | 4 (50) | 8 (57) |
| HIVAN | 19 (86) | 3 (100) | 16 (84) | 7 (88) | 12 (86) |
| Overweight (BMI >25) | 9 (41) | 1 (33) | 8 (42) | 4 (50) | 5 (36) |
| Immunosuppression | |||||
| Prednisone | 22 (100) | 3 (100) | 19 (100) | 8 (100) | 14 (100) |
| i.v. Ig | 1 (5) | 0 | 1 (5) | 0 | 1 (7) |
| Rituximab | 2 (9) | 1 (33) | 1 (5) | 1 (13) | 1 (7) |
| Tacrolimus | 22 (100) | 3 (100) | 19 (100) | 8 (100) | 14 (100) |
| MMF | 22 (100) | 3 (100) | 19 (100) | 8 (100) | 14 (100) |
| Everolimus | 2 (9) | 0 | 2 (11) | 1 (13) | 1 (7) |
| Kidney allograft | |||||
| Post-transplant follow-up, d, median (IQR) | 689 (511–844) | 331 (99–1076) | 736 (527–856) | 520 (340–711) | 779 (532–886) |
| Living donor | 1 (5) | 0 | 0 | 1 (13) | 0 |
| Donor age, yr, median (IQR) | 36 (22–46) | 47 (45–50) | 32 (21–42) | 45 (19–50) | 35 (23–42) |
| Donor terminal creatinine, mg/dl, median (IQR) | 0.8 (0.73–0.98) | n/a | n/a | 0.8 (0.67–1.0) | 0.8 (0.7–1.2) |
| Kidney Donor Profile Index, median (IQR) | 43 (28–49) | 47 (33–67) | 42 (25–46) | ||
| Delayed graft function | 3 (14) | 1 (33) | 2 (11) | ||
| Warm ischemia time, | 27 (21–37) | 23 | 26 (20–35) | 27 (20–35) | 25 (20–33) |
| Cold ischemia time, h, median (IQR) | 18 (9–29) | 14 (6–31) | 21 (10–29) | 25 (14–30) | 16 (7–30) |
| Pretransplant calculated panel reactive antibody, >80% | 1 (5) | 1 (33) | 0 | 1 (13) | 0 |
| 5 (23) | 2 (67) | 3 (16) | 2 (25) | 3 (21) | |
| CMV viremia, | 1 (5) | 0 | 1 (5) | 0 | 1 (7) |
| BK viremia, | 3 (14) | 2 (25) | 1 (7) | ||
| Tacrolimus level at 4 wk, ng/ml, median (IQR) | 6.8 (6.0–7.7) | 6.8 (3.2–12.8) | 6.8 (6–7.8) | 6.7 (4.1–8.6) | 6.9 (6.1–7.5) |
BMI, body mass index; CMV, cytomegalovirus; HIVAN, HIV-associated nephropathy; IQR, interquartile range; i.v. Ig, intravenous immunoglobulin; MMF, mycophenolate mofetil; n/a, not applicable.
Data presented as absolute number (percentage), unless specified otherwise. Fisher's exact test or Mann-Whitney test were used for comparison between groups where appropriate. Differences with P values < 0.05 are shown in bold font.
Composite outcome consisting of delayed graft function, biopsy-proven acute rejection, graft loss, serious infection, or death.
Mostly presumptive diagnosis, only 2 were biopsy proven.
All of the patients received antithymocyte globulin, basiliximab, and methylprednisolone for induction.
None of the study subjects was lost from clinical follow-up.
All deceased donors were donor after brain death.
Donor creatinine was not available for the 3 patients in the rejection group.
Data available for only 12 patients. Insufficient numbers in one of the columns to calculate IQR.
During first year post-transplant.
Figure 1Elevated levels of soluble CD14 (sCD14), lipopolysaccharide (LPS), and soluble tumor necrosis factor receptor 1 (sTNF-R1) in HIV+ hemodialysis patients are reduced following kidney transplantation. (a–g) Scatter dot plots correspond to the circulating levels of inflammation (sTNF-R1, C-reactive protein [CRP]), microbial translocation (sCD14, LPS), and immune activation (CD38+HLADR+ T cells) biomarkers, as well as T regulatory cells (CD4+CD25highFoxP3+) in healthy HIV− subjects (black circles; n = 27); ESRD HIV− patients receiving hemodialysis (blue circles; n = 9); end-stage renal disease (ESRD) HIV+ patients receiving hemodialysis (samples obtained within 12 hours pretransplant; purple circles; n = 22), and HIV+ kidney transplant recipients (samples obtained 90 days post-transplant; open circles; n = 12). Mean with SEM are shown for each group. P values correspond to comparision between groups using the Mann-Whitney test, except for the comparison between ESRD HIV+ (pretransplant) and HIV+ post-transplant groups, which was performed using the Wilcoxon matched-pairs signed ranked test. Only statistically significant differences are shown.
Figure 2Elevated pretransplant levels of soluble tumor necrosis factor receptor 1 (sTNF-R1), C-reactive protein (CRP), and frequencies of activated CD8 T cells predict risk of acute rejection in HIV+ kidney transplant recipients. (a–d) Scatter dot plots correspond to the circulating pretransplant levels of sTNF-R1 (a), CD38+HLADR+ CD8 T cells (b), and CRP (c,d) by clinical outcome group. Note increased pretransplant levels of these biomarkers among patients who experienced rejection or the composite outcome (delayed graft function [DGF], rejection, graft loss, infection, and/or death) post-transplant. Mean with SEM are shown for each group. P values correspond to comparision between groups using the Mann-Whitney test. (e–h) The 200-day cumulative incidence of acute rejection (e–g) and the composite outcome as described previously (h) by levels of sTNF-R1 (e), CD38+HLADR+ CD8 T cells (f), and CRP (g,h). Specific cutoffs for each biomarker were identified using the most significant P-value approach. Number of subjects in the log-rank analysis shown in (e) was 14 and 8 for low and high sTNF-R1 groups, respectively; in (f) it was 14 and 8 for low and high CD38+HLADR+ CD8 T cells groups, respectively; and in (g) and (h) it was 14 and 7 for low and high CRP groups, respectively. Note the increased cumulative incidence of poor outcomes in patients with high pretransplant levels of the corresponding biomarker.