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Open Access Highly Accessed Research article

Activation of transforming growth factor-β1 and early atherosclerosis in systemic lupus erythematosus

Michelle Jackson1, Yasmeen Ahmad2, Ian N Bruce2, Beatrice Coupes1 and Paul EC Brenchley1*

Author Affiliations

1 Renal Research Laboratories, Manchester Institute of Nephrology and Transplantation, Manchester Royal Infirmary, Manchester, UK

2 University of Manchester Rheumatism Research Centre, Central Manchester and Manchester Children's University NHS Trust, Manchester Royal Infirmary, Manchester, UK

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Arthritis Research & Therapy 2006, 8:R81  doi:10.1186/ar1951

The electronic version of this article is the complete one and can be found online at: http://arthritis-research.com/content/8/3/R81


Received:21 October 2005
Revisions received:21 March 2006
Accepted:31 March 2006
Published:28 April 2006

© 2006 Jackson et al.; licensee BioMed Central Ltd.

This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The efficiency of activating latent transforming growth factor (TGF)-β1 in systemic lupus erythematosus (SLE) may control the balance between inflammation and fibrosis, modulating the disease phenotype. To test this hypothesis we studied the ability to activate TGF-β1 in SLE patients and control individuals within the context of inflammatory disease activity, cumulative organ damage and early atherosclerosis. An Activation Index (AI) for TGF-β1 was determined for 32 patients with SLE and 33 age-matched and sex-matched control individuals by quantifying the increase in active TGF-β1 under controlled standard conditions. Apoptosis in peripheral blood mononuclear cells was determined by fluorescence-activated cell sorting. Carotid artery intima-media thickness was measured using standard Doppler ultrasound. These measures were compared between patients and control individuals. In an analysis conducted in patients, we assessed the associations of these measures with SLE phenotype, including early atherosclerosis. Both intima-media thickness and TGF-β1 AI for SLE patients were within the normal range. There was a significant inverse association between TGF-β1 AI and levels of apoptosis in peripheral blood mononuclear cells after 24 hours in culture for both SLE patients and control individuals. Only in SLE patients was there a significant negative correlation between TGF-β1 AI and low-density lipoprotein cholesterol (r = -0.404; P = 0.022) and between TGF-β1 AI and carotid artery intima-media thickness (r = -0.587; P = 0.0004). A low AI was associated with irreversible damage (SLICC [Systemic Lupus International Collaborating Clinics] Damage Index ≥1) and was inversely correlated with disease duration. Intima-media thickness was significantly linked to total cholesterol (r = 0.371; P = 0.037). To conclude, in SLE low normal TGF-β1 activation was linked with increased lymphocyte apoptosis, irreversible organ damage, disease duration, calculated low-density lipoprotein levels and increased carotid IMT, and may contribute to the development of early atherosclerosis.

Introduction

Transforming growth factor (TGF)-β1 is the most potent naturally occurring immunosuppressant [1]; it is produced by all cells of the immune system and plays a fundamental role in controlling proliferation and the fate of cells through apoptosis. In TGF-β1 knockout mice [2] lack of TGF-β1 initiates indiscriminate loss of self-tolerant T cells. Consequential dysregulation of B cell activity leads to production of systemic lupus erythematosus (SLE)-like autoantibodies [3] and development of a lupus-like illness, resulting in early death at 3–4 weeks [2]. Preliminary human studies suggest that TGF-β1 expression in SLE may be dysregulated. Production of TGF-β1 by lymphocytes isolated from SLE patients is reduced compared with that in control individuals [4]. Spontaneous polyclonal IgG and autoantibody production can be abrogated by treatment with interleukin-2 and TGF-β1 [5].

Atherosclerosis is a major cause of mortality and morbidity in SLE, with 6–10% of patients developing premature clinical coronary heart disease [6]. The 'protective cytokine hypothesis', recently reviewed [7], proposes that active TGF-β1 in the vascular wall is required to maintain the normal vascular wall structure and controls the balance between inflammation and extracellular matrix deposition in atherosclerosis. TGF-β1 is an inhibitor of smooth muscle and endothelial cell proliferation [8]. Mice heterozygous for the deletion of the TGF-β1 gene (tgfβ1+/-) have a 50% reduction in levels of TGF-β1 in artery walls and, when fed a cholesterol-enriched diet, such mice exhibit marked deposition of lipid in the artery wall as compared with wild-type mice [9]. In experimental models the evidence suggests that lack of TGF-β1 signalling promotes the development of atherosclerotic lesions and unstable plaques [10]. Therefore, because impairment in the TGF-β1 pathway has been associated with both an SLE-like illness and enhanced atherogenesis, we hypothesize that this pathway might represent a link between the inflammatory and atherosclerotic processes seen in SLE [11].

The aim of the present study was therefore to measure the efficiency of TGF-β1 activation in SLE, using a standard assay for active TGF-β1 in blood samples that were clotted under controlled conditions. We compared the level of physiological TGF-β1 activation during blood clotting in patients and control individuals, and examined whether TGF-β1 activation was associated with clinical phenotype, in particular inflammatory disease activity, cumulative organ damage and early atherosclerosis.

Materials and methods

Patients and control individuals

We recruited female Caucasian patients, of British descent, with SLE (1998 revised criteria) from clinics in the Manchester Royal Infirmary, North Manchester General Hospital and Blackburn Royal Infirmary. All studies in patients and control individuals were conducted with full informed consent of each participant. The study was approved by the North-West Multicenter Research Ethics Committee and the Scientific Advisory Board of the Wellcome Trust Clinical Research Facility. Patients underwent a full clinical assessment, including measurement of disease activity using the SLE Disease Activity Index (SLEDAI) [12]. Therapy was recorded, including current dose of steroids and antimalarial drugs. Damage was assessed using the American College of Rheumatology SLICC (Systemic Lupus International Collaborating Clinics) Damage Index (SDI) [13]. Healthy age-matched and sex-matched control individuals were recruited from the North West of England. In addition to the clinical assessment, current lipid and autoantibody profiles were noted. Following an overnight fast and avoidance of alcohol for 48 hours, 50 ml blood was drawn for laboratory studies. Specifically, antinuclear antibodies (ANAs), antibodies to double stranded (ds)DNA and anticardiolipin (ACL) were measured. ANAs were measured by indirect immunofluorescence on Hep2 cells. Antibodies to dsDNA (IgG) and cardiolipin (ACL; IgG and IgM) were detected using commercially available ELISAs (Aesku Diagnostics, Wendelsheim, Germany), with normal ranges of <25 units for anti-dsDNA antibodies and <16 units for ACL. C3 and C4 complement levels and the lupus anticoagulant were measured using the dilute Russell Viper Venom Test.

An ultracentrifugation method was used to remove very-low-density lipoprotein cholesterol from the plasma [14]. High-density lipoprotein (HDL)-cholesterol was determined following precipitation of low-density lipoprotein (LDL) from the resulting supernatant by heparin/Mn2+ sulphate [14]. Total serum cholesterol, HDL-cholesterol and infranatant cholesterol were determined using the cholesterol oxidase: p-aminophenazone (CHOD-PAP) method. LDL-cholesterol was calculated as the difference between infranatant cholesterol and HDL-cholesterol. Serum triglycerides were determined by the glycerol phosphate oxidase: p-aminophenazone (GPO-PAP) method. LDL-cholesterol was calculated using the Friedewald formula (in mmol/l):

Calculated LDL-cholesterol = total cholesterol - HDL-cholesterol - (triglycerides/2.2)

TGF-β1 activation assay

A variation of an ELISA format previously reported for detection of active TGF-β1 was employed [15,16]. Venous blood was collected without anticoagulant and 16 × 100 μl samples were immediately aliquoted into 2 × 8 well ELISA assay strips (Corning Plastics, Sigma-Aldrich Ltd, Poole, UK). One strip was immediately frozen at -20°C whereas the other was incubated at 37°C in a humidified incubator for 90 minutes and then frozen at -20°C. A solid-phase ELISA was carried out on stored paired samples of clotted (n = 8) and nonclotted blood (n = 8) arranged on the same plate. Plate lids with individual probes (TSP; Nunc, Fisher Scientific, Loughborough, UK) were coated over night with 100 μl/well of 2 μg/ml anti-TGF-β1,2,3 antibody (R&D Systems, Abingdon, UK) in coating buffer at 4°C in a humidified box. Lids were then washed in wash buffer (phosphate-buffered saline [PBS], 0.01% Tween 20 [Sigma-Aldrich Ltd, Poole, UK]), and blocked for 1 hour at room temperature with 150 μl/well ELISA buffer (PBS, 0.1% bovine serum albumen, 0.01% Tween 20). Samples were incubated at room temperature until just thawed and then the TSP lids were incubated in the samples for 2 hours at 4°C on a plate shaker. The lids were then washed and incubated with 100 μl/well of a 2.5 μg/ml anti-TGF-β1 antibody (R&D Systems) solution in ELISA buffer for 90 minutes at room temperature on a plate shaker. Lids were washed and incubated with 100 μl/well of a 1:20,000 dilution of donkey anti-chicken IgG antibody conjugated to peroxidase (Jackson Immunoresearch Laboratories, Stratech Scientific, Soham, UK) for 1 hour at room temperature. Freshly prepared 3,3',5,5'-tetramethylbenzidine substrate was used to develop the plate lids using 100 μl per well, the reaction was stopped by the addition of 50 μl per well of 2 mol/l H2SO4, and the plates were read at 450 nm. A relative Activation Index (AI) was calculated, by division of TGF-β1 levels in blood (A450) incubated at 37°C for 90 minutes by TGF-β1 levels in blood (A450) immediately frozen. The samples were collected, processed, stored and assayed in a standard manner with a between-batch variation (coefficient of variation) of ± 5%.

Measurements of apoptosis

Apoptosis was measured in cells immediately following isolation of peripheral blood mononuclear cells (PBMCs) from blood, and after culture for 24 hours in 48-well plates (Nunc) at 1 × 106 cells per ml, 1 ml per well. Staining with annexin-V/propidium iodide (PI) identified early apoptotic cells. PBMCs were identified on the basis of light scatter properties. Dual colour histograms were analyzed for annexin-V/PI labelled cells and the percentages of apoptotic (fluorescein isothiocyanate [FITC]+PI-) and necrotic (FITC+PI+) cells determined. Cells in later stages of apoptosis were analyzed using PI staining to identify cells containing subdiploid amounts of DNA. Apoptosis of PI stained cells was defined as the percentage of cells with a fractional DNA content less than that in intact G1 cells (subdiploid cells).

For annexin-V/PI staining 1 × 106 cells were resuspended in 50 μl binding buffer (Roche Diagnostics, Lewes, UK) and incubated with annexin-V/FITC (Roche) and annexin-V/PI (Roche) for 15 minutes at room temperature in the dark. Samples were then washed once in PBS and resuspended in PBS, and immediate flow cytometric analysis was performed. Cells for PI staining were resuspended in 1 ml PBS, and 3 ml absolute ethanol was added whilst vortexing. Cells were fixed for at least 1 hour at 4°C. Following fixation cells were washed in PBS and resuspended in 1 ml staining buffer (50 μg/ml PI, 0.5 μg/ml RNase A, PBS). Samples were incubated at 4°C for 2 hours, washed once in PBS, resuspended in PBS and analyzed by flow cytometry. Flow cytometric analyses were performed on an Epics XL-MCL (Beckman-Coulter, High Wycombe, UK) flow cytometer. Ten thousand cells were analyzed for annexin-V/PI staining and 5,000 cells were analyzed for PI staining.

Carotid artery intima-media thickness

All participants underwent a B-mode Doppler scan of their carotid arteries using a standard protocol. The common carotid artery (CCA) was scanned longitudinally and the intima-media thickness (IMT) was measured in the CCA, 1 cm proximal to the carotid bulb. IMT was the maximum distance between the intima-lumen and adventitia-media interfaces in areas without carotid plaque [17]. IMT was determined as the average of six measurements, three each from the left and right CCA. The intraclass correlation coefficient for IMT measurements, assessed in 15 participants on two separate occasions, 2 weeks apart, was 0.92 (95% confidence interval 0.84–1.00).

Statistical analysis

TGF-β1 activation indices and lymphocyte apoptosis in SLE patients and control individuals were compared using the Mann-Whitney U test. Clinical associations were compared using the Mann-Whitney U test, and correlations were determined with the Pearson test. P < 0.05 was considered statistically significant.

Results

Clinical data from patients with SLE

We studied 32 patients and 33 control individuals with mean (± standard deviation) ages of 47.5 ± 9.4 years and 48 ± 10 years, respectively. SLE patients had a mean disease duration of 13 ± 5.8 years. The mean SLEDAI and SLICC damage scores were 1.75 ± 1.8 and 1.1 ± 1.2, respectively. Twenty-eight (91%) had a history of arthritis and 24 (75%) had mucocutaneous involvement. Three (9%) had a history of renal involvement. Twenty (60%) patients were receiving prednisolone (mean dose 3.6 ± 3.9 mg/day). Seventeen (53%) patients were receiving hydroxychloroquine and 18 (56%) patients were receiving other disease-modifying drugs. Seven (22%) were taking azathioprine, 5 (16%) methotrexate and one each were receiving one (3%) monthly pulse of intravenous cyclophosphamide and leflunomide. With regard to antibody profile at the time of study, 27 (90%) patients were positive for ANAs, 21 (69%) had elevated antibodies to dsDNA, 13 (41%) had ACL antibodies and nine (28%) had lupus anticoagulant.

TGF-β1 activation index: an in vitro measure of the in vivo efficiency of TGF-β1 activation

To examine the ability of SLE patients and control individuals to activate TGF-β1, a ratio of levels of TGF-β1 in freshly collected blood and after 90 minutes of clotting at 37°C was determined. The degranulation of platelets during clotting results in release of excess latent TGF-β1 (estimated at >25 ng/ml [18]), some of which is subsequently activated physiologically over 90 minutes through protease action and interaction with thrombospondin, as occur in wound healing. That this initial pool of latent TGF-β1 was in excess is demonstrated by the lack of association between platelet count and TGF-β1 activation index (Pearson r = 0.143, P = 0.435; data not shown). Comparing levels of TGF-β1 in fresh unclotted blood and levels in blood clotted for a limited time (90 minutes) gives an indication of the overall efficiency of the TGF-β1 activation process in an individual. The TGF-β1 activation indices were similar between patients and control individuals (median [interquartile range] AI: 1.63 [1.31–1.88] in SLE patients versus 1.50 [1.26–1.73] in control individuals, P = 0.157; data not shown). The AI was determined once for each patient and control individuals on entry into the study. A study of the variation in TGF-β1 AI over time and with disease activity and treatment in SLE patients is beyond the scope of the present study.

Apoptosis of peripheral blood mononuclear cells and TGF-β1 activation

SLE patients exhibited higher levels of apoptotic cells in the total PBMC population at 24 hours, as measured by annexin-V staining (median [interquartile range]: 3.25% [2.25–5.15%] versus 2.20% [1.7–3.35%], P = 0.012; Figure 1a). The TGF-βAI was significantly correlated with level of PBMC apoptosis at 24 hours in both control individuals and patients; Figure 1b shows the relationship for SLE patients (r = -0.504, P = 0.0062).

thumbnailFigure 1. Association of apoptosis and TGF-β1 Activation Index. (a) Percentage of PBMCs undergoing apoptosis: control individuals versus SLE patients. Cells were stained with annexin-V and propidium iodide to differentiate early apoptotic cells from necrosing and late apoptotic cells. The thick horizontal bar denotes the median, and the whiskers show the interquartile range. Significance was calculated using the Mann-Whitney U test. (b) Degree of apoptosis in PBMCs from patients and TGF-β1 Activation Index are correlated, using Pearson test. PBMC, peripheral blood mononuclear cell; SLE, systemic lupus erythematosus; TGF, transforming growth factor.

TGF-β1 Activation Index and early atherosclerosis in control individuals and SLE patients

There was no correlation between TGF-β1 AI and calculated LDL levels in control patients (Pearson r = 0.209, P = 0.243; Figure 2a), but there was a significant inverse correlation between the TGF-β1 AI and fasting LDL-cholesterol in patients with SLE (Pearson r = -0.404, P = 0.022; Figure 2a). TGF-β1 AI also correlated with total cholesterol in patients with SLE (Pearson r = -0.371, P = 0.037). TGF-β1 AI did not correlate with current steroid dose (P = 0.663), total duration of steroids (P = 0.986), dose of antimalarial (P = 0.589), disease-modifying antirheumatic drug therapy (P = 0.121), or SLEDAI (P = 0.913; data not shown).

thumbnailFigure 2. Correlation of LDL cholesterol and carotid IMT score with TGFβ1 Activation Index. (a)Correlation of LDL cholesterol and TGF-β1 Activation Index, using Pearson test. (b) Carotid artery IMT scores were correlated with TGF-β1 Activation Index for control patients and SLE patients, using Pearson correlation. A significant positive correlation was observed for control patients, whereas a significant inverse relationship was identified for SLE patients, with low TGF-β1 Activation Index being associated with increased mean carotid IMT score. Patients with SLICC score 0 have a higher TGF-β1 Activation Index than those with SLICC score 1–3, analyzed by Mann-Whitney U test. IMT, intima-media thickness; LDL, low-density lipoprotein; SLICC, Systemic Lupus International Collaborating Clinics; TGF, transforming growth factor.

There was no difference in mean carotid IMT between patients and controls (mean ± standard error: 0.050 ± 0.002 cm versus 0.050 ± 0.002 cm; not significant). However, the correlation between TGF-β1 AI and carotid IMT in SLE patients and control individuals was qualitatively different (Figure 3a,b). In control individuals there was a significant positive correlation (r = 0.376, P = 0.031). In contrast, there was a highly significant inverse correlation in SLE patients (r = -0.587, P = 0.0004), such that low activation status was linked with higher IMT score. Analysis of covariance of IMT versus TGF-β1 activation and subject group, and testing the interaction term shows that the slopes in the control and SLE groups are significantly different (P = 0.0001). IMT exhibited a significant correlation with total cholesterol (Pearson r = 0.371, P = 0.037) but not with calculated LDL (Pearson r = 0.246, P = 0.175).

thumbnailFigure 3. SLE disease severity and TGFβ1 Activation Index. Patients with SLICC score 1–3 have a significantly lower TGF-β1 AI than do patients with mild disease (SLICC score 0). SLICC, Systemic Lupus International Collaborating Clinics; TGF, transforming growth factor.

TGF-β1 activation index, damage and disease duration

TGF-β1 activation was lower in patients with a SDI of 1 or greater (n = 18) than in those with a SDI of 0 (n = 12; median [interquartile range]: 1.43 [1.20–1.59] versus 1.73 [1.43–1.88], P = 0.034; Figure 3). The TGF-β1 AI in SLE patients inversely correlated with disease duration (Pearson r = -0.377, P = 0.033; data not shown).

Discussion

We investigated the ability of SLE patients and control individuals to activate latent TGF-β1 in an in vitro assay that utilizes the physiological activation of latent TGF-β1 that occurs normally during blood clotting. The activation of TGF-β1 during clotting is complex, being mediated through several mechanisms [19,20] involving protease (plasmin) activation and interaction of TGF-β1 with thrombospondin-1. Using an ELISA assay validated for detection of active TGF-β1 [15,16], we determined the increased active TGF-β1 after clotting a standard volume of blood at 37°C for 90 minutes relative to the nonclotted sample. Although no differences in mean values were observed between AIs of control individuals and SLE patients, we hypothesized that the level of biological variation in the SLE group could be used as a surrogate marker of the efficiency of activating latent TGF-β1. This would allow us to establish whether low or high TGF-β1 activation efficiency could be linked with known abnormalities in lymphocyte apoptosis and markers of early atherosclerosis.

In accordance with other studies [21-23], we found an increase in apoptosis in the PBMCs of SLE patients compared with control individuals following 24 hours in culture. We found a lower rate of apoptosis at 24 hours (median 3.35%) compared with that described by Emlen and coworkers [21] (mean 12%). However, our SLE patients have a low disease activity score (mean SLEDAI score 1.75) and low damage score (mean SLICC score 1.1). This is consistent with the finding reported by Emlen and coworkers of a significant positive correlation between disease severity (SLAM [Systemic Lupus Activity Measure] index) and rate of apoptosis.

There was no significant difference after 24 hours of culture between the levels of apoptosis in patients receiving and those not receiving steroids at the time of study. In both patients and control individuals we observed a significant inverse relationship between level of PBMC apoptosis and TGF-β1 activation index (low TGF-β1 AI linked with high level of apoptosis).

The significance of increased PBMC apoptosis in SLE is profound, possibly reflecting increased levels of cells undergoing activated induced cell death and/or a defect in non-inflammatory phagocytosis of apoptotic cells. Failure to achieve programmed cell death and to clear apoptotic cell fragments could be a key pathogenic factor in the development of autoimmunity. As demonstrated in TGF-β1 knockout mouse, a loss of control in apoptosis affects the development and control of tolerance. Lack of TGF-β1 leads to increases in the levels of both the number of activated T cells and the levels of apoptosis in activated T cells and self-tolerant T cells – a situation that may be similar to that found in SLE patients. In the present study we report, for the first time, a significant association between ability to activate TGF-β1 and the degree of PBMC apoptosis at 24 hours. In the TGF-β1 knockout mouse there is an increase in mitochondrial membrane potential, and such increases are associated with initiation of apoptosis. It was recently demonstrated that the mitochondrial membrane potential in SLE patients is also increased [24]. Those SLE patients with low TGF-β1 AI status/increased apoptosis may be most at risk for the fundamental inflammatory process that drives SLE autoantibody production.

It is now well established that SLE patients are at fivefold to ten-fold increased risk for coronary heart disease compared with the general population. Classic risk factors have been found to be of importance in promoting the development of atherosclerosis in SLE [6]. However, after adjusting for Framingham risk factors, a significant excess risk remains [25]. This suggests that additional factors contribute to atherogenesis in SLE. Additional factors at play in SLE may include other metabolic changes such as renal impairment and homocysteine as well as adverse effects of steroid therapy and factors related to the underlying disease process, such as endothelial dysfunction and immune complex deposition [26].

The inverse correlation of TGF-β1 activation status and LDL-cholesterol levels identified in patients but not in control individuals is therefore highly relevant to this inflammatory process in the vascular wall. Two potential mechanisms whereby LDL might reduce TGF-β1 function have been described. First, it has been shown that very-low-density lipoprotein and LDL can inhibit the binding of active TGF-β1 to the type II TGF-β receptor and thereby suppress signalling through the receptor [27]. Second, and with particular relevance to this study, oxidized LDL is reported to interact specifically with thrombospondin-1 and inhibit the thrombospondin-1 dependent activation of latent TGF-β1 [28]. In SLE, Nuttal and coworkers [29] noted that LDL-cholesterol was more likely to exist as small dense particles that are more prone to oxidation. Although we did not measure LDL particle size, this difference in the type of LDL present in patients and control individuals may explain our observation of an inverse correlation of TGF-β1 AI and LDL in SLE patients, which was not seen in control individuals.

In the present study carotid IMT itself was not different between patients and control individuals; this is consistent with the findings of other larger series of SLE patients. Indeed, Roman and coworkers [30] found lower carotid IMT in SLE. Low TGF-β1 activation was also strongly associated with increased carotid IMT, an early marker of atherosclerotic change. It has been proposed that low levels of active TGF-β1 in the artery wall, resulting from apolipoprotein(a) inhibition of plasminogen activation and failure to activate latent TGF-β1 through plasmin proteolysis, allows endothelial and smooth muscle cell proliferation, leading to intima-medial expansion [8,31]. In our study this relationship was observed only in SLE patients, and the slopes in the SLE and control groups were significantly different (P = 0.0001), suggesting that the TGF-β1 interaction with IMT in SLE patients is different from that in age-matched/sex-matched control individuals. Although the TGF-β1 AI did not differ significantly between patients and control individuals, in the context of SLE increased oxidized LDL may promote a low TGF-β1 milieu, permitting excessive cellular apoptosis and enhancing the propensity for atherogenesis. Further studies are now needed to explore this hypothesis and it may be that several different factors govern the progression of carotid IMT in SLE. Such prospective studies will be needed to explore the interaction between inflammation and early atherosclerosis in more detail both in patients and unaffected individuals.

The association of low TGF-β1 AI and disease duration suggests that prospective studies of patients might identify changes in TGF-β1 activation and lipoprotein subfractions over time that could influence the development of atherosclerosis in SLE. Some of the atherogenic risk associated with LDL, in particular oxidized LDL, could be mediated through modulation of the availability of active TGF-β1 in the vasculature.

This observation has wider applications for prospective monitoring of TGF-β1 activation, not only in SLE but generally in patients developing atherosclerosis and fibrosis (for example, chronic allograft rejection). Therapeutic manipulation of the levels of active TGF-β1 may offer a new perspective in controlling the expression of disease in patients with SLE.

Conclusion

Impairment of the TGF-β1 system in SLE not only may impact on the autoimmune pathophysiology of the disease but also may modulate the development of atherosclerosis and the increased risk for cardiovascular disease. Low activation of TGF-β1 is associated with increased apoptosis of PBMCs, increased carotid IMT, high levels of LDL-cholesterol and more severe SLE disease score. The factors in blood that modulate activation of TGF-β1 remain obscure, but the link with LDL-cholesterol opens up a novel atherogenic pathway that requires further study.

Abbreviations

ACL = anticardiolipin; AI = Activation Index; ANA = antinuclear antibody; CCA = common carotid artery; ds = double stranded; ELISA = enzyme-linked immunosorbent assay; FITC= fluorescein isothiocyanate; HDL = high-density lipoprotein; IMT = intima-media thickness; PBMC = peripheral blood mononuclear cell; PBS = phosphate-buffered saline; PI = propidium iodide; TGF = transforming growth factor; SDI = SLICC damage index; SLE = systemic lupus erythematosus; SLEDAI = SLE Disease Activity Index.

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

MJ performed most of the laboratory assays, helped in statistical analysis of the data and helped to draft the manuscript. YA obtained consent from patients and collected the samples and patient data for the study, and participated in the coordination of the study and writing of the manuscript. IB conceived the study, selected the patients for study, participated in its design and coordination, and helped to draft the manuscript. BC developed and carried out the TGF-β activation assay, data analysis and contributed to the writing of the manuscript. PB conceived the study, participated in its design and coordination and data analysis and writing of the manuscript. All authors read and approved the final manuscript

Acknowledgements

The authors acknowledge Drs RM Bernstein, HN Snowden, MG Pattrick, LS Teh, P Smith and F Qasim, who identified patients for inclusion in the study. They also acknowledge the help of Professor PN Durrington and Dr M Mackness, University of Manchester Department of Medicine, in performing the lipid analysis and Dr Steve Roberts, University of Manchester Biostatistics Group, for statistical advice. The study was funded by ARC (UK) Grant number B0700 and supported by the Wellcome Trust Clinical Research Facility, Manchester and the NHS R&D Levy through CMMC NHS Trust.

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