Background
Inflammation could be a driver of biological ageing, since inflammation increases with age; is elevated in ageing-associated conditions like sarcopenia, and dysmetabolism; and is a risk factor for cardiovascular disease, type 2 diabetes, cancer, and overall mortality [
1‐
6]. Accordingly, HIV-infected patients could exhibit accelerated ageing, as combination antiretroviral therapy (cART)-treated HIV-infected patients exhibit higher inflammatory levels and develop cardiovascular disease, type 2 diabetes, and maybe sarcopenia at a younger age than population controls [
7‐
11]. Moreover, 30–60 % of HIV-infected patients exhibit altered adipose tissue (AT) distribution termed lipodystrophy. Lipodystrophy is characterised by loss of SAT (lipoatrophy) and/or gain of visceral adipose tissue (VAT) (lipohypertrophy), resembling an extreme form of age-associated AT redistribution. Lipodystrophy is caused by a combination of the infection and cART [
12‐
16], and is associated with insulin resistance, systemic and adipose tissue inflammation [
17,
18].
It is well-established that inflammation is elevated in the majority of age-associated complications. However, it is still not understood whether this is a general inflammatory mechanism, or whether the inflammatory biomarkers reflect different co-existing pathophysiological processes. A major limitation for understanding this, has been inconsistent adjustment for confounders with major impact on inflammation, such as not assessing muscle mass when assessing fat mass. Our aim was therefore to study whether leptin, interleukin 6 (IL-6), and soluble urokinase plasminogen activator receptor (suPAR) were associated distinctively with adiposity, lipodystrophy and sarcopenia, in HIV-infected patients and healthy Controls.
Leptin is a central adipokine produced in levels proportional to fat cell mass [
19,
20]. Leptin integrates inflammation, metabolism and neuroendocrine signalling thereby regulating energy consumption and storage. Obesity is associated with increased leptin levels, and leptin resistance may be a characteristic of obesity contributing to insulin resistance and lipotoxicity [
20]. Leptin levels are altered in lipodystrophy, and leptin therapy has been applied to improve insulin sensitivity in HIV-associated lipoatrophy, but with diverging results [
21‐
23]. It is not established whether leptin levels are altered in lipodystrophy merely as a result of the AT mass, or whether AT redistribution affects leptin levels.
IL-6 is a pleiotropic cytokine produced by numerous cell types such as adipocytes, myocytes, and leukocytes. Increased IL-6 levels are associated with obesity, muscle catabolism, cardiovascular disease, and mortality [
1,
24‐
26]. Paradoxically, IL-6 is also produced by skeletal muscle during exercise where it mediates beneficial effects of exercise, independently of muscle damage [
25]. IL-6 is elevated in HIV, but IL-6 levels appear not to be affected in lipodystrophy [
8,
18]. How IL-6 reflects and affects AT and muscle mass in HIV-infection and lipodystrophy is not clear.
suPAR is produced when uPAR is cleaved from the cell surface, primarily from activated T cells, monocytes, neutrophils and endothelial cells. suPAR correlates with other inflammatory proteins such as TNF-α, and suPAR levels are elevated in a variety of diseases like HIV, sepsis, cardiovascular disease, and cancer. The function of suPAR is not well-established, but patients with the highest suPAR levels generally have the worst prognosis [
2,
27,
28]. In contrast to many other inflammatory markers, suPAR associates weakly with AT measures, but strongly with low lean mass [
2,
29,
30]. suPAR could therefore reflect a distinct type of inflammation related to sarcopenia but not AT.
We found that leptin reflected adiposity- and lipodystrophy-related inflammation, but not sarcopenia. IL-6 reflected both adiposity-, but also sarcopenia-related inflammation; and suPAR was a marker of sarcopenia-related inflammation. Our results indicate that different inflammatory processes can be active simultaneously contributing to the systemic low grade inflammatory state.
Discussion
Inflammation has been intensively studied in age-associated complications. However, it is not clear whether it is the same inflammatory changes that are central in all age-associated complications. We therefore studied leptin, IL-6 and suPAR that we hypothesised would be associated distinctively with lipodystrophy, adiposity and sarcopenia. Leptin levels were significantly elevated in lipodystrophy of the Hypertrophic or Mixed type (Hyper/Mix) compared to HIV-infected patients without lipodystrophy (Non-Lipo). In contrast, IL-6 or suPAR levels were not changed in lipodystrophy, but tended to be higher in HIV-infected patients than Controls. Leptin was a strong marker of fat mass. In contrast, suPAR showed strong associations with low lean mass, and weak associations with fat mass. IL-6 was a marker of both increased fat and low lean mass. Thus we found leptin, IL-6 and suPAR to be associated with lipodystrophy, adiposity and sarcopenia distinctively.
For the first time we show that leptin levels were significantly elevated in patients with Hyper/Mix type lipodystrophy compared to Non-Lipo, not only as a result of the fat mass or the insulin sensitivity. In contrast, leptin levels were not significantly lower in patients with lipoatrophy, than what was expected from their low fat mass. Results from other studies suggest that the elevated leptin levels do not appear to be a general feature of age-associated AT re-distribution [
19]. The elevated leptin levels in Hyper/Mix type lipodystrophy could be a physiological response to counteract ectopic fat-mediated lipotoxicity, as leptin exhibits lipotoxicity-protective effects [
20]. However, the higher leptin levels could also represent a state of leptin resistance contributing to insulin resistance.
IL-6 and suPAR levels were not altered in lipodystrophy of either subtype, in agreement with most studies [
18,
27]. In contrast, IL-6 and suPAR levels were elevated in Non-Lipo compared to Controls, though not significantly in multiple adjusted analyses. Along with the highly elevated CD8+ T cell counts and the lower CD4+/CD8+ T cell ratio, these findings support that the immune system has not been fully normalised in HIV-infected patients despite successful treatment, in agreement with previous studies [
8]. The chronic immune activation could be involved in the earlier onset of comorbidities in HIV-infected patients.
FMI and
tLMI and
lLMI were positively associated, in agreement with the increase in lean mass required to carry an increased fat mass previously reported [
31]. However, in Hyper/Mix the association appeared disturbed, also when removing an influential outlier. Whether this is an artefact, or whether Hyper/Mix type lipodystrophy is associated with dysregulation of muscle homeostasis as in sarcopenic obesity, is not possible to determine in this study.
Leptin and IL-6 were significantly associated with FMI and VAT in both univariate and multiple regression analyses. In contrast, suPAR was only significantly associated with FMI and VAT in multiple regression analyses, in agreement with previous studies [
1,
19]. This did not appear to be a result of insulin resistance, since adjusting for HOMA-IR did not change the estimates. When adjusting for fat mass, IL-6 was independently associated with low lean mass, in contrast to the univariate analysis. Moreover, we confirmed our previous finding that suPAR reflects low lean mass in HIV-infected patients and extended this to healthy Controls [
29]. Neither the association with suPAR nor IL-6 and low lean mass was explained by self-reported physical activity (data not shown). The association of suPAR with low lean mass may provide new insight into why suPAR is a risk marker for mortality.
Our findings, of inflammatory biomarkers being associated distinctively with age-related processes, are in agreement with other studies, where it was reported that inflammatory biomarkers were distinctively associated with disease severity, and with risk factors leading to disease development [
30,
32]. This indicates that different inflammatory processes can be active simultaneously contributing to the systemic low grade inflammatory state. CCAAT-enhancer-binding proteins (C/EBP) and specificity protein (SP)-1 are transcription factors for both the leptin and IL-6 genes. Thus, on the molecular level, the association between leptin and IL-6 and adiposity could be the result of pathways leading to C/EBP and SP-1 binding to the promoter regions of the leptin and IL-6 genes [
33‐
35]. However, the different inflammatory processes also affect each other, as leptin and IL-6 affect the production of each other. It is not well understood, whether suPAR is regulated by, or regulates other inflammatory mediators [
36,
37].
On the cellular level, adiposity-associated inflammation may result from an increased adipocyte size leading to AT stress. AT stress could induce adipocyte death, inflammation, and macrophage infiltration [
38‐
40]. However, inflammation can also induce AT stress, thereby initiating a vicious cycle. More specifically, enlarged adipocytes may contribute significantly to the elevated leptin levels, since leptin is produced in amounts proportional to fat cell size [
41]. AT-derived IL-6 can be produced by stressed adipocytes or by infiltrating macrophages. Elevated IL-6 levels may contribute to disease development, by increasing the expression of cytokines like TNF-α known to induce insulin resistance, or by inducing insulin resistance itself [
5,
42,
43].
Muscle leptin expression is very small, thus leptin does not appear to be involved in muscle pathology [
33]. Inflammation could cause muscle atrophy by increasing Nuclear Factor-κB expression that is known to activate atrogen gene expression in muscle [
26]. IL-6 may promote muscle catabolism directly through signal transducer and activator of transcription 3 resulting in Atrogin-1 expression. However, IL-6 anabolic effects have also been reported [
24]. IL-6 catabolic effects may first ensue in a persistent inflammatory state and thus be dependent on other inflammatory mediators.
The uPAR ligand urokinase plasminogen activator (uPA) exhibits muscle anabolic properties, independently of its binding to uPAR [
44‐
47]. suPAR may directly affect muscle homeostatis by binding uPA. suPAR is cleaved from the cell surface by proteases involved in extracellular matrix degradation. The increased suPAR levels associated with low muscle mass, could therefore also be a result of the tissue re-modulation taken place during muscle atrophy [
26,
28]. However, underlying pathophysiological processes could give rise to elevated suPAR and IL-6 levels, and low muscle mass, without any direct muscle atrophic effects of suPAR and IL-6.
There are some limitations to our study. The study was cross-sectional, and we could therefore not examine the role of leptin, IL-6, and suPAR in the development of complications. Moreover, our Control and lipodystrophy subgroups were small, and our findings should therefore be confirmed in larger studies. Furthermore, to understand whether the inflammatory changes identified here are indeed part of the pathophysiologic process, studies at the molecular level should be carried out. Our findings for patients with lipoatrophy are representative for relatively normo-metabolic patients, since inclusion criteria were no lipid-lowering or anti-diabetic treatment. Furthermore, our study was designed to assess lipodystrophy, and not lipodystrophy subtypes, and few patients with the lipohypertrophic phenotype were included. We therefore grouped patients with lipohypertrophy and mixed type lipodystrophy. Our findings support those from other studies, in that lipodystrophy phenotypes should be analysed separately [
21,
48]
. Finally, we could not determine the impact of the HIV infection itself, since no cART naïve HIV-infected group was included.
Conclusion
Our findings add to the growing knowledge of inflammation involved in adiposity, adipose tissue redistribution and sarcopenia. In line with other studies, we showed that fat mass and lean mass are correlated, which could confound the relation between body composition and inflammation if both muscle and fat is not taken into account. In conclusion, we showed that leptin levels are elevated in Hyper/Mix type lipodystrophy not only as a result of the fat mass. This suggests that the leptin system is central in the pathophysiology of Hyper/Mix type lipodystrophy. In contrast, suPAR appeared to primarily reflect sarcopenia-associated inflammation, whereas IL-6 was central in both adiposity- and sarcopenia-associated inflammation. These findings suggest that leptin, IL-6 and suPAR are associated distinctively with various complications of both ageing and HIV-infection. Identifying major contributors to circulating leptin, IL-6, and suPAR levels could therefore improve our understanding of which processes leads to distinct age-related complications.
Methods
Microdialysis results from 18 subjects of the study have been published as part of a microdialysis methodological study [
49].
Ethics
The local ethics committee of the Capital Region of Denmark (H-4-2010-045), and the Danish Data protection agency (2010-41-4952) approved the study. We carried out the study according to the declaration of Helsinki. Written informed consent was obtained from all participants.
Subjects
We included 60 HIV-infected patients from the Department of Infectious Diseases, Copenhagen University Hospital, Hvidovre, Denmark, and 16 healthy men (Controls) from November 2010 through October 2012. Controls were recruited by advertisement at Hvidovre Hospital. Inclusion criteria were: male; age older than 18 years; White ethnicity; no current Hepatitis B (HBV) and/or C (HCV) infection; no current immunomodulating treatment or disease; no current lipid-lowering, anti-diabetic or endocrinologic treatment; no intravenous drug use. Moreover, the HIV-infected patients also had to fulfil: at least 12 month on cART; CD4+ cell counts ≥200 cells/μL; HIV-RNA <400 copies/mL. Controls were tested negative for HIV, HBV, and HCV before inclusion, and it was ensured that mean age was similar in patients and Controls.
Study protocol
Blood samples were collected in the morning after an overnight fast of eight hours. All subjects completed a self-administered questionnaire including: tobacco use; AT distribution; and physical activity. Anthropometry was performed as in Andersen et al. [
50], and included: body weight, height, waist and hip circumference. Blood pressure was measured after minimum one hour of rest. All participants were told to refrain from vigorous exercise the day before examination, physical activity on the examination day, and the use of any pain killers the week before the examination.
Whole body composition was evaluated by Dual energy X-ray absorptiometry (DXA) scan (Norland XR-36, Gammatec A/S, Værløse, Denmark). An experienced radiologist evaluated abdominal SAT and VAT mass by single slice computed tomography (CT) scan (Somatom Sensation 10, Siemens) at the upper limit of L4 as previously described in Hansen et al. [
51].
Lipodystrophy was determined by physical examination by a trained examiner. Fat atrophy or hypertrophy in the face, retroauricular region, dorsocervical region, upper arms, thighs, buttocks, and abdominal subcutaneous and visceral regions was assessed. Patients were characterised as lipodystrophic (Lipo) if at least one sign of atrophy and/or hypertrophy was present, as in Andersen et al. [
50]. Patients were not characterised as lipodystrophic (Non-Lipo) if no other signs of lipodystrophy than abdominal obesity were present. Patients were characterised as atrophic (Atrophy) if only signs of lipoatrophy were present; hypertrophic (Hyper) if only signs of lipohypertrophy were present, and Mixed type (Mix) if both lipoatrophy and lipohypertrophy was present.
Body composition measures
Total and regional lean and fat mass was derived from DXA scans. Lean mass was used as a surrogate marker for muscle mass, since lean mass is primarily constituted of skeletal muscle, especially appendicular lean mass [
52]. Fat and lean mass measures were constructed as previously described in Kelly et al. [
53]: Fat mass index (FMI) was evaluated as: total fat mass/height
2 (kg/m
2). Total lean mass index (
tLMI) as: total lean mass/height
2 (kg/m
2). Leg lean mass index (
lLMI) as: lean mass of legs/height
2 (kg/m
2). Central SAT as: SAT area (cm
2). Central VAT as: VAT area (cm
2). Metabolic syndrome was assigned according to the 2009 metabolic syndrome consensus definition [
54]. We used ≥94 cm as waist circumference cut-off as recommended for high risk populations.
Blood sample measurements
CD4+ and CD8+ T-cell numbers, HIV RNA, and glucose were measured as part of the routine patient management. Insulin was measured in plasma by the Immulite® 2000 Systems (Siemens®, NY, USA). Plasma suPAR was measured with the suPARnostic® ELISA (ViroGates A/S, Birkerød, Denmark) with a mean coefficient of variation (CV) of 4 %. Plasma IL-6 was measured with Quantikine® HS-IL-6 ELISA (R&D Systems, Minneapolis, USA) with a mean CV of 8 %. Plasma leptin was measured with Quantikine® Leptin ELISA (R&D Systems, Minneapolis, USA) with a mean CV of 3 %. Insulin resistance was calculated using the homeostatic model assessment of insulin resistance (HOMA-IR) as described by Matthews et al. [
55].
Statistics
We assessed the effect of lipodystrophy on biomarker levels by comparing biomarker levels in lipodystrophy subgroups and Non-Lipo, and of HIV/cART by comparing biomarker levels in Non-Lipo and Controls. Differences in baseline characteristics between groups were analysed by one-way Anova models. If residuals were not normally distributed, we used Kruskal-Wallis tests. Group differences in smoking, HIV, previous thymidine nucleoside reverse transcriptase inhibitor (tNRTI) exposure, RNA >20 copies/mL, and metabolic syndrome were analysed by χ
2 or Fisher’s exact test if less than five individuals were expected in a group.
The association of biomarkers with fat and lean mass was analysed by linear regression analyses and tested for group interactions with biomarker level as outcome. The association between fat and lean mass was analysed in a similar manner with lean mass as outcome. The association of biomarkers with age, group, smoking, fat and lean mass, was analysed in univariate analyses and multiple regression analyses adjusted for biological relevant covariates with biomarker level as outcome.
We investigated goodness of fit of the linear regression models for normal distribution of residuals and homogeneity of variance. If residuals were not normal, biomarker levels were transformed using log2(x) to obtain normal distributed residuals. Results from regression analyses were therefore back-transformed using 1-2β, and shown as percent estimates per unit increase. P-values less than 0.05 were considered statistically significant. The statistics program”Statistical Analysis Systems” (SAS, version 9.3; SAS Institute, Cary, NC, USA) was applied for analyses. Graphs were made using Graph Pad Prism (GraphPad Software Inc., San Diego, CA, USA) and the statistical software R (version 2.15.2, R foundation).
Competing interest
ViroGates A/S donated the suPARnostic® kits for suPAR measurements, but did not have any influence on the design of the study. Jesper Eugen-Olsen and Ove Andersen are inventors of the patent on suPAR and disease risk. Copenhagen University Hospital, Hvidovre owns the patent, which is licensed to ViroGates A/S. Jesper Eugen-Olsen is founder, board member and shareholder in ViroGates A/S. Anne Langkilde, Janne Petersen, Jens Henrik Henriksen, Frank Krieger Jensen, and Jan Gerstoft declare no conflicts of interest.
Authors’ contributions
AL participated in the design of the study; the recruitment and inclusion of patients; the statistical analyses; carried out the laboratory measurements; and drafted the study. JP participated in the design of the study and conceived the statistical analyses. JHH participated in the coordination of the DXA scans and the drafting of the manuscript. FKJ evaluated the CT scans. JG participated in patient recruitment. JEO participated in the study design and drafting of the study. OA participated in the design of the study, recruitment and inclusion of patients, and drafting the study. All authors read and approved the final manuscript.