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Introduction: Patients 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.
Methods: A 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 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.
Results: Low 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).
Conclusions: Our 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, may also constitute a genetic biomarker of disease activity in axSpA.
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http://dx.doi.org/10.3389/fimmu.2022.894171 | DOI Listing |
Fertil Steril
September 2025
Dept of OBGYN, University of Rochester, Rochester, NY, USA. Electronic address:
Polycystic ovary syndrome (PCOS) is a common endocrine condition often recognized for its association with reproductive complications. However, the impact of PCOS extends well beyond such that it is considered a multisystemic disorder, with effects on mental health, metabolic conditions, and pregnancy. While there is ample evidence for increased prevalence of cardiovascular disease (CVD) risk factors in PCOS including hypertension, dyslipidemia, diabetes and obesity in reproductive age and menopausal women, robust data on atherosclerotic CVD events (ASCVD), defined as coronary artery disease (CAD), myocardial infarction (MI), angina, carotid artery disease, ischemic stroke, transient ischemic attack (TIA) and peripheral artery disease (PAD), in PCOS is emerging.
View Article and Find Full Text PDFEur Rev Med Pharmacol Sci
August 2025
Division of Cardiology, Policlinico Tor Vergata, Rome, Italy.
Unlabelled: BACKGROUND: Spinal and bulbar muscular atrophy (SBMA) is a rare X-linked neuromuscular disorder characterized by progressive muscle weakness and endocrine abnormalities. Beyond its classic neurological presentation, SBMA is increasingly associated with metabolic and cardiovascular comorbidities, including dyslipidemia and insulin resistance. CASE REPORT: We present the case of a 54-year-old male with genetically confirmed SBMA and high cardiovascular risk, in whom statins and ezetimibe were contraindicated due to persistently elevated creatine kinase levels and underlying muscle involvement.
View Article and Find Full Text PDFAm J Prev Cardiol
September 2025
Department of Preventive Medicine, NCD Epidemiology Research Center, Shiga University of Medical Science, Otsu, Shiga, Japan.
Background And Aims: The American Heart Association's Life's Essential-8 (LE8) cardiovascular health (CVH) metrics is considered a comprehensive framework for optimal cardiovascular wellbeing. However, its relationship with the progression of subclinical atherosclerosis, like coronary artery calcification (CAC), is not clarified. We investigated the associations of LE8 CVH metrics with the prevalence and progression of CAC in Japanese men.
View Article and Find Full Text PDFRheumatol Int
September 2025
Department of Physical Medicine and Rehabilitation, University of Health Sciences, Adana City Research and Training Hospital, Dr. Mithat Özsan Boulevard, 4522. Street No: 28, Yüreğir, Adana, Türkiye.
Cardiovascular (CV) morbidity and mortality pose major challenges in patients with axial spondyloarthritis (AxSpA), a chronic inflammatory disorder that includes both radiographic and non-radiographic forms. Patients with AxSpA have heightened CV morbidity and mortality, mainly attributable to systemic inflammation and typical CV risk factors like hypertension, hyperlipidemia, diabetes, and obesity. Subclinical atherosclerosis frequently manifests independently of conventional risk factors and is associated with indicators of disease activity and inflammatory load.
View Article and Find Full Text PDFCurr Atheroscler Rep
September 2025
Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.
Purpose Of Review: To define the emerging role of artificial intelligence-enhanced electrocardiography (AI-ECG) in advancing population-level screening for atherosclerotic cardiovascular disease (ASCVD), we provide a comprehensive overview of its role in predicting major adverse cardiovascular events and detecting subclinical coronary artery disease. We also outline the clinical, methodological, and implementation challenges that must be addressed for widespread adoption.
Recent Findings: State-of-the-art AI-ECG models exhibit high accuracy, correctly re-classifying patients deemed 'low risk' by traditional risk models.