| Literature DB >> 31263122 |
Magnhild E Macpherson1,2,3, Bente Halvorsen4,5, Arne Yndestad4, Thor Ueland4,5,6, Tom E Mollnes7,8,6,9, Rolf K Berge10,11, Azita Rashidi4, Kari Otterdal4, Ida Gregersen4,5, Xiang Y Kong4,5, Kirsten B Holven12,13, Pål Aukrust4,14,5,6, Børre Fevang4,14, Silje F Jørgensen4,14,5.
Abstract
Common variable immunodeficiency (CVID) is the most common symptomatic primary immunodeficiency, characterized by inadequate antibody responses and recurrent bacterial infections. Paradoxically, a majority of CVID patients have non-infectious inflammatory and autoimmune complications, associated with systemic immune activation. Our aim was to explore if HDL, known to have anti-inflammatory properties, had impaired function in CVID patients and thereby contributed to their inflammatory phenotype. We found reduced HDL cholesterol levels in plasma of CVID patients compared to healthy controls, particularly in patients with inflammatory and autoimmune complications, correlating negatively with inflammatory markers CRP and sCD25. Reverse cholesterol transport capacity testing showed reduced serum acceptance capacity for cholesterol in CVID patients with inflammatory and autoimmune complications. They also had reduced cholesterol efflux capacity from macrophages to serum and decreased expression of ATP-binding cassette transporter ABCA1. Human HDL suppressed TLR2-induced TNF release less in blood mononuclear cells from CVID patients, associated with decreased expression of transcriptional factor ATF3. Our data suggest a link between impaired HDL function and systemic inflammation in CVID patients, particularly in those with autoimmune and inflammatory complications. This identifies HDL as a novel therapeutic target in CVID as well as other more common conditions characterized by sterile inflammation or autoimmunity.Entities:
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Year: 2019 PMID: 31263122 PMCID: PMC6603020 DOI: 10.1038/s41598-019-45861-1
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Patient characteristics for CVID cohort and healthy controls.
| CVID cohort (n = 102) | Healthy controls (n = 28) | p-value | |
|---|---|---|---|
| Age in years mean ± SD [min-max] | 48 ± 15 [18–83] | 42 ± 10 [28–65] | 0.053* |
| Female (%) | 54% | 64% | 0.328† |
| BMI mean ± SD [min-max] | 25 ± 4 [17–39] | 24 ± 3 [19–34] | 0.232‡ |
| IVIG (%) | 18 (18%) | — | — |
| SCIG (%) | 71 (70%) | — | — |
| IVIG and SCIG’ (%) | 12 (12%) | — | — |
| Infections only (%) | 26 (26%) | — | — |
| Non-infectious complications (%) | 76 (75%) | — | — |
BMI: Body mass index. IVIG: Intravenous immunoglobulins. SCIG: Subcutaneous immunoglobulins.
‘One CVID patient did not receive any immunoglobulin substitution.
*Mann Whitney test, †Pearson Chi square test, ‡Student’s t-test.
Figure 1HDL cholesterol levels in CVID patients and controls including CVID subgroups. Plasma levels of HDL cholesterol in Common Variable Immunodeficiency (CVID) patients and controls. The CVID cohort is further divided into two subgroups: infection only and non-infectious complications. Results are given as boxes representing the 25th to 75th percentile with lines indicating median and whiskers min-max values; **p < 0.01, ****p < 0.0001 using Mann-Whitney test between groups.
Figure 2Correlation between HDL cholesterol levels and inflammatory markers in CVID. Panels show correlation between HDL cholesterol and sCD25 (a) and CRP (b) in CVID patients (n = 102). Comparisons are made by Spearman’s rank correlation test. Spearman’s rank correlation coefficient is referred to as r. Trend lines indicate negative correlation between variables sCD25 and HDL cholesterol as well as between CRP and HDL cholesterol.
Figure 3Apo A-1 levels in CVID patients and controls. The results are given as mean with error bars for SD. **p < 0.01 using unpaired Student’s t-test between groups.
Figure 4Cholesterol efflux from THP-1 macrophages to serum in CVID patients and controls. The results are given as median with interquartile range showing cholesterol efflux in CVID patients and healthy controls as well as in the CVID subgroups: infection only and non-infectious complications. *p < 0.05, **p < 0.01 using Mann-Whitney test between groups.
Figure 5Reverse cholesterol transport related gene expression in PBMC from CVID patients and controls. mRNA expression in PBMC from CVID patients (n = 40) and healthy controls (n = 30) of the genes: ABCA1 (****p < 0.0001), ABCG1 (p = 0.17), SR-A1 (p = 0.55) and SR-B1 (p = 0.32) involved in reverse cholesterol transport from peripheral cells, using Mann-Whitney test between groups. Results given as mean with 95% CI. mRNA levels were quantified by qPCR and values given in relation to the reference genes β-actin and GAPDH.
Figure 6Cholesterol efflux from CVID and control macrophages to universal serum. Cholesterol efflux from monocyte-derived macrophages from CVID patients with non-infectious complications and age- and sex matched healthy controls to universal serum. Results given with bars for median and interquartile range, *p < 0.05 using Wilcoxon matched pair signed rank test.
Figure 7ATF3 mRNA levels and HDL cholesterol effects on TLR2-stimulated TNF release from mononuclear cells in CVID patients and controls. (a) ATF3 mRNA expression in CVID patients and healthy controls; results given with bars for median and interquartile range, ****p < 0.0001 using Mann-Whitney test between groups. mRNA levels were quantified by qPCR and values given in relation to the reference genes β-actin and GAPDH. (b) Effect of increasing HDL cholesterol concentration on TLR2- (Pam3Cys) stimulated TNF release from mononuclear cells in CVID (n = 6) and controls (n = 6); *p < 0.05. Results illustrated as median with variance, p-values calculated using repeated measures ANOVA analysis. The difference between CVID patients and the control group in TNF release at baseline from mononuclear cells after Pam3Cys stimulation was found non-significant (p = 0.389) when performing Student’s t-test on log-transformed datasets.