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GlycA Is a Novel Biomarker of Inflammation and Subclinical Cardiovascular Disease in Psoriasis.

ABSTRACT: RATIONALE:GlycA, an emerging inflammatory biomarker, predicted cardiovascular events in population-based studies. Psoriasis, an inflammatory disease associated with increased cardiovascular risk, provides a model to study inflammatory biomarkers in cardiovascular disease (CVD). Whether GlycA associates with psoriasis and how it predicts subclinical CVD beyond high-sensitivity C-reactive protein in psoriasis is unknown. OBJECTIVE:To investigate the relationships between GlycA and psoriasis and between GlycA and subclinical CVD. METHODS AND RESULTS:Patients with psoriasis and controls (n=412) participated in a 2-stage study. We measured GlycA by nuclear magnetic resonance spectroscopy. National Institutes of Health (NIH) participants underwent 18-F Fluorodeoxyglucose Positron Emission Tomography Computed Tomography (18-FDG PET/CT) scans to assess vascular inflammation (VI) and coronary computed tomographic angiography to quantify coronary artery disease burden. Psoriasis cohorts were young (mean age=47.9), with low cardiovascular risk and moderate skin disease. high-sensitivity C-reactive protein and GlycA were increased in psoriasis compared with controls (GlycA: [PENN: 408.8±75.4 versus 289.4±60.2, P<0.0001; NIH: 415.8±63.2 versus 346.2±46, P<0.0001]) and demonstrated a dose-response with psoriasis severity. In stage 2, VI (?=0.36, P<0.001) and coronary artery disease (?=0.29, P=0.004) associated with GlycA beyond CV risk factors in psoriasis. In receiver operating characteristic analysis, GlycA added value in predicting VI (P=0.01) and coronary artery disease (P<0.01). Finally, initiating anti-tumor necrosis factor therapy (n=16) reduced psoriasis severity (P<0.001), GlycA (463.7±92.5 versus 370.1±78.5, P<0.001) and VI (1.93±0.36 versus 1.76±0.19, P<0.001), whereas GlycA remained associated with VI (?=0.56, P<0.001) post treatment. CONCLUSIONS:GlycA associated with psoriasis severity and subclinical CVD beyond traditional CV risk and high-sensitivity C-reactive protein. Moreover, psoriasis treatment reduced GlycA and VI. These findings support the potential use of GlycA in subclinical CVD risk assessment in psoriasis and potentially other inflammatory diseases.

SUBMITTER: Joshi AA

PROVIDER: S-EPMC5215065 | biostudies-literature | 2016 Nov

REPOSITORIES: biostudies-literature

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GlycA Is a Novel Biomarker of Inflammation and Subclinical Cardiovascular Disease in Psoriasis.

Joshi Aditya A AA Lerman Joseph B JB Aberra Tsion M TM Afshar Mehdi M Teague Heather L HL Rodante Justin A JA Krishnamoorthy Parasuram P Ng Qimin Q Aridi Tarek Z TZ Salahuddin Taufiq T Natarajan Balaji B Lockshin Benjamin N BN Ahlman Mark A MA Chen Marcus Y MY Rader Daniel J DJ Reilly Muredach P MP Remaley Alan T AT Bluemke David A DA Playford Martin P MP Gelfand Joel M JM Mehta Nehal N NN

Circulation research 20160921 11

<h4>Rationale</h4>GlycA, an emerging inflammatory biomarker, predicted cardiovascular events in population-based studies. Psoriasis, an inflammatory disease associated with increased cardiovascular risk, provides a model to study inflammatory biomarkers in cardiovascular disease (CVD). Whether GlycA associates with psoriasis and how it predicts subclinical CVD beyond high-sensitivity C-reactive protein in psoriasis is unknown.<h4>Objective</h4>To investigate the relationships between GlycA and p ...[more]

PMID: 27654120

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Project description:IntroductionPatients with axial spondyloarthritis (axSpA) have a high disease burden mainly due to the rheumatic disease itself, and also exhibit accelerated atherosclerosis, that leads to a higher incidence of cardiovascular (CV) disease. Accordingly, the identification of biomarkers of CV risk and inflammation in axSpA patients is clinically relevant. In this sense, given the beneficial functions exerted by the adipomyokine irisin in processes related to CV disease and inflammation, our aim was to assess, for the first time, the role of irisin as a genetic and serological biomarker of subclinical atherosclerosis, CV risk and disease severity in axSpA patients.MethodsA large cohort of 725 Spanish patients with axSpA was included. Subclinical atherosclerosis (presence of plaques and abnormal carotid intima-media thickness values) was evaluated by carotid ultrasound. Four irisin polymorphisms (rs16835198 G/T, rs3480 A/G, rs726344 G/A, and rs1570569 G/T) were genotyped by TaqMan probes. Additionally, serum irisin levels were determined by ELISA.ResultsLow irisin levels were linked to the presence of plaques (p=0.002) and atherogenic index values ≥4 (p=0.01). Serum irisin were positively correlated with C-peptide levels (p<0.001) and negatively correlated with visual analogue scale and Bath Ankylosing Spondylitis Metrology Index (p<0.05 in all the cases). Moreover, lower irisin levels were observed in patients with sacroiliitis and in those with a negative HLA-B27 status (p<0.001 and p=0.006, respectively), as well as in those treated with non-steroidal anti-inflammatory drugs and conventional disease-modifying antirheumatic drugs (p<0.001 and p=0.002, respectively). Interestingly, the TT genotype and the T allele of rs16835198 were less frequent in axSpA patients with ASDAS >2.1 (Odds Ratio (OR): 0.48 [0.28-0.83] and OR: 0.73 [0.57-0.92], respectively, p=0.01 in both cases). Additionally, the frequency of rs1570569 T allele was higher in these patients (OR: 1.46 [1.08-1.97], p=0.01). Furthermore, the GGGT haplotype was more frequent in patients with ASDAS values >2.1 (OR: 1.73 [1.13-2.66], p=0.01).ConclusionsOur results indicate that low serum irisin levels could be indicators of the presence of subclinical atherosclerosis, high CV risk and more severe disease in axSpA patients. In addition, irisin may also constitute a genetic biomarker of disease activity in axSpA.

Project description:OBJECTIVES:This study hypothesized that there is an association between chronic stress (as indexed by resting amygdalar activity [AmygA]), hematopoietic system activity (HMPA), and subclinical cardiovascular indexes (aortic vascular inflammation [VI] and noncalcified coronary plaque burden [NCB]) in psoriasis (PSO). The study also hypothesized that treatment of PSO would improve these parameters. BACKGROUND:PSO is a stress-related chronic inflammatory condition that is associated with increased prevalence of subclinical cardiovascular disease (CVD). In individuals without PSO, stress has been linked to CVD through a serial biological pathway that involves the amygdala, hematopoietic tissues, and atherosclerotic plaques. METHODS:A total of 164 consecutive patients with PSO and 47 healthy volunteers underwent 18-fluorodeoxyglucose positron emission tomography/computed tomography scans for assessment of AmygA, HMPA, and VI, as well as coronary computed tomography angiography scans for quantifying NCB. Furthermore, a consecutive subset of 30 patients with severe PSO (Psoriasis Area Severity Index Score >10) were followed at 1 year to assess the relationship between skin disease improvement and AmygA, HMPA, VI, and NCB. RESULTS:The PSO cohort was middle-aged (mean age: 50 years), had low cardiovascular risk (Framingham risk score: median: 3) and had mild to moderate PSO activity (median Psoriasis Area Severity Index Score: 5.6). AmygA was higher in patients with PSO compared to volunteer participants. AmygA was associated with HMPA (bone marrow activity: ? = 0.20, p = 0.01) and subclinical CVD (VI: ? = 0.31, p < 0.001; NCB: ? = 0.27, p < 0.001) The AmygA-CVD association was in part mediated by HMPA (VI: 20.9%, NCB: 36.7%). Following 1 year of PSO treatment in those with severe disease, improvement in skin disease was accompanied by a reduction in AmygA, bone marrow activity, and VI, with no progression of NCB. CONCLUSIONS:In PSO, a chronic inflammatory disease state, AmygA, which is a manifestation of chronic stress, substantially contributes to the risk of subclinical CVD. Additional studies that use psychometric measures of stress are required to explore therapeutic impact.

Project description:Sustained night shift work is associated with various adverse health risks, including an increased risk of cardiovascular disease, type II diabetes, and susceptibility to infectious respiratory diseases. The extent of these adverse health effects, however, seems to greatly vary between night shift workers, yet the underlying reasons and the mechanisms underlying these interindividual differences remain poorly understood. Metabolomics assays in the blood have recently gained much attention as a minimally invasive biomarker platform capturing information predictive of metabolic and cardiovascular diseases. In this cross-sectional study, we explored and compared the metabolic profiles of 1010 night shift workers and 1010 age- and sex-matched day workers (non-shift workers) from the Lifelines Cohort Study. The metabolic profiles were determined using the 1H-NMR Nightingale platform for the quantification of 250 parameters of metabolism, including routine lipids, extensive lipoprotein subclasses, fatty acid composition, and various low-molecular metabolites, including amino acids, ketone bodies, and gluconeogenesis-related metabolites. Night shift workers had an increased BMI (26.6 vs. 25.9 kg/m2) compared with day workers (non-shift workers) in both sexes, were slightly more likely to be ever smokers (only in males) (54% vs. 46%), worked on average 5.9 ± 3.7 night shifts per month, and had been working in night shifts for 18.3 ± 10.5 years on average. We observed changes in several metabolic markers in male night shift workers compared with non-shift workers, but no changes were observed in women. In men, we observed higher levels of glycoprotein acetyls (GlycA), triglycerides, and fatty acids compared with non-shift workers. The changes were seen in the ratio of triglycerides and cholesterol(esters) to total lipids in different sizes of VLDL particles. Glycoprotein acetyls (GlycAs) are of particular interest as markers since they are known as biomarkers for low-grade chronic inflammation. When the analyses were adjusted for BMI, no significant associations were observed. Further studies are needed to better understand the relationship between night shift work and metabolic profiles, particularly with respect to the role of sex and BMI in this relationship.

Project description:BackgroundSubjects with Type 1 diabetes mellitus (T1DM) have an increased incidence of heart failure (HF). Several pathophysiological mechanisms have been involved in its development. The aim of this study was to analyze the potential contribution of the advanced lipoprotein profile and plasma glycosylation (GlycA) to the presence of subclinical myocardial dysfunction in subjects with T1DM.MethodsWe included subjects from a Danish cohort of T1DM subjects (Thousand & 1 study) with either diastolic and/or systolic subclinical myocardial dysfunction, and a control group without myocardial dysfunction, matched by age, sex and HbA1c. All underwent a transthoracic echocardiogram and an advanced lipoprotein profile obtained by using the NMR-based Liposcale® test. GlycA NMR signal was also analyzed. Systolic dysfunction was defined as left ventricular ejection fraction ≤ 45% and diastolic dysfunction was considered as E/e'≥12 or E/e' 8-12 + volume of the left atrium > 34 ml/m2. To identify a metabolic profile associated with the presence of subclinical myocardial dysfunction, a multivariate supervised model of classification based on least squares regression (PLS-DA regression) was performed.ResultsOne-hundred forty-six subjects had diastolic dysfunction and 18 systolic dysfunction. Compared to the control group, patients with myocardial dysfunction had longer duration of diabetes (p = 0.005), and higher BMI (p = 0.013), serum NTproBNP concentration (p = 0.001), systolic blood pressure (p < 0.001), albuminuria (p < 0.001), and incidence of advanced retinopathy (p < 0.001). The supervised classification model identified a specific pattern associated with myocardial dysfunction, with a capacity to discriminate patients with myocardial dysfunction from controls. PLS-DA showed that triglyceride-rich lipoproteins (TGRLs), such as VLDL (total VLDL particles, large VLDL subclass and VLDL-TG content) and IDL (IDL cholesterol content), as well as the plasma concentration of GlycA, were associated with the presence of subclinical myocardial dysfunction.ConclusionProatherogenic TGRLs and the proinflammatory biomarker Glyc A are strongly associated to myocardial dysfunction in T1DM. These findings suggest a pivotal role of TGRLs and systemic inflammation in the development of subclinical myocardial dysfunction in T1DM.

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GlycA Is a Novel Biomarker of Inflammation and Subclinical Cardiovascular Disease in Psoriasis.

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GlycA Is a Novel Biomarker of Inflammation and Subclinical Cardiovascular Disease in Psoriasis.

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