Objective: Patients with SLE have an increased risk of atherosclerosis (ATH) that is not adequately explained by traditional risk factors. We previously described the Predictors of Risk for Elevated Flares, Damage Progression, and Increased Cardiovascular disease in PaTients with SLE (PREDICTS) atherosclerosis-risk panel, which includes proinflammatory HDL (piHDL), leptin, soluble tumour necrosis factor-like weak inducer of apoptosis (sTWEAK) and homocysteine, as well as age and diabetes. A high PREDICTS score confers 28-fold increased odds for future atherosclerosis in SLE. The aim of this study is to determine whether PREDICTS biomarkers are modifiable by common lupus therapies.
Methods: This prospective observational study included SLE subjects started on new lupus treatments. Leptin, sTWEAK, homocysteine and antioxidant function of HDL were measured at baseline (prior to drug initiation), 6 weeks and 12 weeks.
Results: 16 subjects started mycophenolate (MMF), 18 azathioprine (AZA) and 25 hydroxychloroquine (HCQ). In MMF-treated subjects, HDL function progressively improved from 2.23 ± 1.32 at baseline to 1.37±0.81 at 6 weeks (p=0.02) and 0.93±0.54 at 12 weeks (p=0.009). sTWEAK levels also improved in MMF-treated subjects from 477.5±447.1 to 290.3±204.6 pg/mL after 12 weeks (p=0.04), but leptin and homocysteine levels were not significantly changed. In HCQ-treated subjects, only HDL function improved from 1.80±1.29 at baseline to 1.03±0.74 after 12 weeks (p=0.05). There were no changes in the AZA group. MMF treatment was still associated with significant improvements in HDL function after accounting for potential confounders such as total prednisone dose and changes in disease activity. Overall, the mean number of high-risk PREDICTS biomarkers at week 12 significantly decreased in the entire group of patients started on a new lupus therapy (2.1±0.9 to 1.8±0.9, p=0.02) and in the MMF-treated group (2.4±0.8 vs 1.8±0.9, p=0.003), but not in the AZA or HCQ groups. In multivariate analysis, the odds of having a high PREDICTS atherosclerosis risk score at 12 weeks were lower with MMF treatment (OR 0.002, 95% CI 0.000 to 0.55, p=0.03).
Conclusions: 12 weeks of MMF therapy improves the overall PREDICTS atherosclerosis biomarker profile. Further studies will determine whether biomarker changes reflect decreases in future cardiovascular events.
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http://dx.doi.org/10.1136/lupus-2019-000321 | DOI Listing |
Actas Dermosifiliogr
January 2025
Unidad de Salud Pública y Atención Ambiental, Departamento de Medicina Preventiva y Salud Pública, Ciencias de los Alimentos, Toxicología y Medicina Forense, Universidad de Valencia, España; CIBER en Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, España.
Psoriasis is consistently associated with an elevated cardiovascular risk. However, biochemical parameters are needed to predict cardiovascular events in these patients. Therefore, we conducted a retrospective cohort study with psoriatic patients undergoing systemic treatment to analyze the value of the triglyceride-glucose (TyG) index in predicting the development of major adverse cardiovascular events (MACE).
View Article and Find Full Text PDFClin Nurs Res
January 2025
College of Nursing, University of Tennessee Health Science Center, Memphis, TN, USA.
Atherosclerotic cardiovascular disease (ASCVD) risk calculators estimate the 10-year incident risk of myocardial infarction (MI), coronary artery disease (CAD) death, or stroke; however, they lack comprehensiveness and accuracy. Carotid intima-media thickness (CIMT) is a surrogate marker that may improve risk estimation acumen. The objective of this study was to derive ASCVD risk scores from historical data and determine whether these risk scores are associated with the history of subclinical CAD and CIMT.
View Article and Find Full Text PDFSci Adv
January 2025
Yale Cardiovascular Research Center, Yale School of Medicine, New Haven, CT 06511, USA.
Fluid shear stress (FSS) from blood flow sensed by vascular endothelial cells (ECs) determines vessel behavior, but regulatory mechanisms are only partially understood. We used cell state transition assessment and regulation (cSTAR), a powerful computational method, to elucidate EC transcriptomic states under low shear stress (LSS), physiological shear stress (PSS), high shear stress (HSS), and oscillatory shear stress (OSS) that induce vessel inward remodeling, stabilization, outward remodeling, or disease susceptibility, respectively. Combined with a publicly available database on EC transcriptomic responses to drug treatments, this approach inferred a regulatory network controlling EC states and made several notable predictions.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA.
Background: Recent research reported that cancer patients had lower risk of Alzheimer's disease (AD). Common signaling pathways, hormonal systems, and genetic predispositions have been hypothesized as important factors contributing to this inverse association. However, the exact mechanisms are still unknown.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Laboratory of Behavioral Neuroscience, National Institute on Aging, Intramural Research Program, Baltimore, MD, USA.
Background: While immune function is known to play a mechanistic role in Alzheimer's disease (AD), whether immune proteins in peripheral circulation influence the rate of amyloid-b (Aβ) progression remains unknown.
Method: Using the Baltimore Longitudinal Study of Aging (BLSA; n = 196; mean follow-up: 5 years/4 scans), we identified immune-related proteins in plasma (candidate proteins) related to rates of change in cortical Aβ levels, as measured by C-PiB PET. Along with identifying genetic variants that contributed to candidate protein associations, characterizing their relationships with tau-PET and changes in ADRD biomarkers (Aβ, NfL, GFAP, pTau-181), and assessing their expression patterns in human microglia, we leveraged data from the Atherosclerosis Risk in Communities (ARIC) study to determine if changes in candidate protein levels precede Ab = β onset (n = 272), and whether they predict 20-year dementia risk during mid-life (n = 11,596) and 8-year dementia risk during late-life (n = 4,288).
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