| Literature DB >> 30157919 |
Dimitrios Chanouzas1,2, Michael Sagmeister3,4, Lovesh Dyall4, Phoebe Sharp3,4, Lucy Powley4, Serena Johal3,4, Jessica Bowen4, Peter Nightingale5, Charles J Ferro4,5, Matthew D Morgan4,6, Paul Moss7, Lorraine Harper4,5,6.
Abstract
BACKGROUND: Cardiovascular disease is a leading cause of death in ANCA-associated vasculitis (AAV). An expansion of CD4+CD28null T cells is seen mainly in cytomegalovirus (CMV)-seropositive individuals and has been linked to increased cardiovascular disease risk in other conditions. The aims of this study were to phenotype CD4+CD28null T cells in AAV with respect to their pro-inflammatory capacity and ability to target and damage the endothelium and to investigate their relationship to arterial stiffness, a marker of cardiovascular mortality.Entities:
Keywords: ANCA; Arterial stiffness; Cardiovascular disease; Cytomegalovirus; Inflammation; T cells; Vasculitis
Mesh:
Year: 2018 PMID: 30157919 PMCID: PMC6116544 DOI: 10.1186/s13075-018-1695-8
Source DB: PubMed Journal: Arthritis Res Ther ISSN: 1478-6354 Impact factor: 5.156
Participant baseline characteristics
| AAV ( | HV ( | |
|---|---|---|
| Age, years | 69.0 [62.8–75.3] | 70.5 [66.8–74.0]* |
| Gender, male:female | 35:18 | 14:16* |
| ANCA specificity, PR3:MPO | 34:18 | – |
| AAV disease chronicity, years | 6.0 [3.2–12.0] | – |
| Renal function eGFR, mL/min per 1.73 m2 | 53 [21] | – |
| Urine albumin-to-creatinine ratio, mg/mmol | 4.4 [1.4–9.9] | – |
| Steroids, n (%) | 39 (73.6) | – |
| Mycophenolate mofetil, n (%) | 14 (26.4) | – |
| Azathioprine, n (%) | 19 (35.8) | – |
| No current immunosuppression, n (%) | 4 (7.5) | – |
| Ever smoker, n (%) | 26 (49.1) | – |
| Diabetes mellitus, n (%) | 11 (20.8) | – |
| On statin treatment, n (%) | 29 (54.7) |
Data are displayed as median [interquartile range] apart from renal function displayed as mean [standard deviation]. Immunosuppressive treatment refers to number and percentage of patients on the respective immunosuppressive agent at the time of study entry.
*Comparison between ANCA-associated vasculitis (AAV) and healthy volunteers (HV): age (Mann–Whitney U test, P = 0.557), gender (Fisher’s exact, P = 0.106)
Abbreviations: eGFR estimated glomerular filtration rate, MPO myeloperoxidase, PR3 proteinase 3
Fig. 1CD4+CD28null T cells are cytomegalovirus (CMV)-responsive T helper 1 (Th1) pro-inflammatory T cells. a Following stimulation with CMV lysate, a greater proportion of CD4+CD28null T cells (open circles) expressed the activation marker CD154 and secreted interferon-gamma (IFN-γ), tumour necrosis factor-alpha (TNF-α) and interleukin-2 (IL-2) compared with CD4+CD28+ T cells (grey squares) (ANCA-associated vasculitis [AAV], n = 53). b CD4+CD28null T-cell percentage correlated with the size of the total CD4 CMV response and with the anti-CMV IgG antibody titre (AAV, n = 53). c A greater proportion of CD4+CD28null T cells expressed the Th1 transcription factor T-bet compared with CD4+CD28+ T cells and CD4+CD28null T-cell percentage correlated with the percentage of CD4 T cells expressing T-bet (AAV, n = 53). d CD4+CD28null T cells exhibited a Th1 lineage chemokine receptor pattern rather than Th2 or Th17 (AAV, n = 17). e There was no difference in the cytokine expression profile between AAV (n = 53, open circles) and healthy volunteers (HV) (n = 30, open triangles), but patients with AAV contained larger expansions of CD4+CD28null T cells. **P < 0.01, ***P < 0.001. All bars are medians. Abbreviation: ns not significant
Fig. 2CD4+CD28null T cells are endothelial homing, cytotoxic T cells. Unstimulated CD4 T cells from patients with ANCA-associated vasculitis (AAV) (n = 10) were stained for expression of endothelial homing receptors CX3CR1, CD49d and CD11b and intracellular cytotoxic molecules perforin and granzyme B. a Representative staining and summary data for unstimulated CD4 T cells gated on CD4+CD28null (top two flow cytometry plots) and CD4+CD28+ T cells (bottom two flow cytometry plots). Sequential gating was performed as follows: CD49d and CD11b to identify CD49d CD11b double-positive cells, followed by CX3CR1 to identify CD49d CD11b CX3CR1 triple-positive cells. b Representative staining and summary data for unstimulated CD4 T cells gated on CD4+CD28+ and CD4+CD28null T cells showing cells double-positive for perforin and granzyme B
Fig. 3CD4+CD28null T-cell expansion correlates with increased arterial stiffness and blood pressure parameters. CD4+CD28null T-cell percentage correlated with increased systolic blood pressure (a), pulse pressure (b), a surrogate marker of arterial stiffness, and carotid-to-femoral pulse wave velocity (c) (n = 53)
Variables associated with pulse wave velocity on univariable analysis
| Variable | Univariable analysis | ||
|---|---|---|---|
| R2 | Regression coefficient [95% CI] | ||
| Age, years | 0.183 | 0.131 [0.053, 0.208] | 0.001 |
| Gender | 0.004 | 0.393 [− 1.313, 2.100] | 0.645 |
| eGFR, mL/min per 1.73 m2 | 0.026 | − 0.023 [− 0.062, 0.017] | 0.252 |
| Urinary albumin-to-creatinine ratio, mg/mmol | 0.056 | 0.019 [−0.003, 0.041] | 0.088 |
| Ever smoker | 0.017 | −0.759 [−2.364, 0.847] | 0.347 |
| Presence of diabetes | 0.002 | 0.291 [−1.704, 2.286] | 0.771 |
| On statin treatment | 0.044 | 1.208 [−0.383, 2.799] | 0.134 |
| Pulse pressure, mm Hg | 0.163 | 0.084 [0.030, 0.137] | 0.003 |
| Mean arterial pressure, mm Hg | 0.102 | 0.088 [0.015, 0.161] | 0.020 |
| Systolic blood pressure, mm Hg | 0.191 | 0.079 [0.033, 0.124] | 0.001 |
| Diastolic blood pressure, mm Hg | 0.027 | 0.056 [−0.039, 0.150] | 0.243 |
| CD4+CD28null T-cell proportion (%), per 10% increase | 0.182 | 0.912 [0.368, 1.455] | 0.001 |
| C-reactive protein, mg/mL | 0.008 | −0.234 [− 0.958, 0.490] | 0.520 |
| IL-2, pg/mL | 0.066 | 0.007 [0.000, 0.015] | 0.065 |
| IFN-γ, pg/mL | 0.036 | −0.004 [− 0.010, 0.002] | 0.179 |
| IL-10, pg/mL | 0.025 | 0.089 [−0.068, 0.245] | 0.260 |
| IL-6, pg/mL | 0.004 | 0.002 [−0.007, 0.011] | 0.649 |
| TNF-α, pg/mL | 0.083 | 0.015 [0.001, 0.029] | 0.039 |
| IL-17, pg/mL | 0.015 | −0.003 [−0.011, 0.004] | 0.389 |
All variables with a P value of less than 0.1 on univariable analysis were included in the multivariable model shown in Table 3
Abbreviations: CI confidence interval, eGFR estimated glomerular filtration rate, IL interleukin, TNF-α tumour necrosis factor-alpha
Multivariable linear regression model for pulse wave velocity (meters per second)
| Variable | Univariable analysis | Multivariable analysis | ||
|---|---|---|---|---|
| Regression coefficient [95% CI] | Regression coefficient [95% CI] | |||
| CD4+CD28null T-cell percentage, per 10% increase | 0.912 [0.368, 1.455] | 0.001 | 0.663 [0.132, 1.194] | 0.016 |
| Age, years | 0.131 [0.053, 0.208] | 0.001 | 0.080 [0.006, 0.155] | 0.035 |
| Proteinuria (urinary ACR), mg/mmol | 0.019 [−0.003, 0.041] | 0.088 | 0.013 [−0.007, 0.033] | 0.196 |
| Mean arterial pressure, mm Hg | 0.088 [0.015, 0.161] | 0.020 | 0.053 [−0.016, 0.122] | 0.128 |
| TNF-α, pg/mL | 0.015 [0.001, 0.029] | 0.039 | 0.010 [−0.002, 0.022] | 0.086 |
Variables with P value of less than 0.1 on univariable analysis (Table 2) were included in the model. In order to avoid collinearity, only one blood pressure parameter and either plasma concentration of tumour necrosis factor-alpha (TNF-α) or interleukin-2 (IL-2) were added at each iteration of the model. This table shows the final model with mean arterial pressure (MAP) and TNF-α. The size of the CD4+CD28null T-cell expansion remained independently associated with pulse wave velocity with negligible impact on the model characteristics when pulse pressure or systolic blood pressure was substituted for MAP and when plasma concentration of IL-2 was substituted for TNF-α
R value: 0.635, R2: 0.404
Abbreviations: ACR albumin-to-creatinine ratio, CI confidence interval