Accumulating evidence considers psoriasis a systemic inflammatory disorder that is associated with comorbidities such as psoriatic arthritis, cardiovascular disease, and metabolic syndrome. Although the precise pathogenetic links between psoriasis and atherosclerosis warrants further investigation, it is believed that chronic systemic inflammation along with the T helper (Th)-1 and Th17 polarization are associated with endothelial dysfunction and subsequent acceleration of atherosclerosis. Considering the above, several studies have evaluated if optimal control of the inflammation in psoriasis by inhibiting interleukins targeting the Interleukin (IL)-23/Th17 axis could subsequently reduce the atherosclerotic process during anti-psoriatic treatment by using a variety of surrogate markers of subclinical atherosclerosis. This systematic review summarizes current knowledge on the pathogenetic mechanisms and diagnostic evaluation of atherosclerosis in the context of psoriasis and provides a systematic review of the literature on the impact of treatment with biologics targeting the IL-23/Th17 axis on subclinical atherosclerosis in patients with plaque psoriasis and/or psoriatic arthritis.
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http://dx.doi.org/10.3390/biomedicines11020318 | DOI Listing |
Eur J Prev Cardiol
January 2025
Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Introduction: Premature advanced subclinical coronary atherosclerosis among young adults is an under-recognized and unique disease phenotype that has not been well characterized.
Methods: We used data from 44,047 participants with no prior CVD history (59.8% male) from the Coronary Artery Calcium (CAC) Consortium.
Diabetol Metab Syndr
January 2025
Department of Radiology, Shanghai Health and Medical Center, No. 67 Dajishan, Binhu District, Wuxi, 214065, China.
Background: Metabolic dysfunction-associated steatotic liver disease (MASLD) is characterized by the presence of at least one cardiovascular disease (CVD) risk factor, underscoring its potential to elevate CVD risk in affected individuals. However, evidence linking MASLD to subclinical coronary atherosclerosis remains scarce, and further investigations are necessary to elucidate the independent role of varying MASLD severities as a CVD risk factor.
Methods: This study analyzed 7,507 participants aged ≥ 40 who underwent comprehensive health evaluations at the Shanghai Health and Medical Center.
Atherosclerosis
December 2024
Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA. Electronic address:
Background And Aims: The significance of left ventricular mass and chamber volumes from non-contrast computed tomography (CT) for predicting major adverse cardiovascular events (MACE) has not been studied. Our objective was to evaluate the role of artificial intelligence-enabled multi-chamber cardiac volumetry from non-contrast CT for long-term risk stratification in asymptomatic subjects without known coronary artery disease.
Methods: Our study included 2022 asymptomatic individuals (55.
Circ Cardiovasc Imaging
January 2025
Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC. (P.S., C.H., G.B., A.H., S.H.S., P.S.D., M.A.D.).
Background: Patients with abnormal (positive) exercise electrocardiography, but normal stress echocardiography (+ECG/-Echo), have an increased risk of adverse cardiovascular events compared with patients with a normal (negative) ECG and a normal stress Echo (-ECG/-Echo). However, it is unclear if +ECG/-Echo discordance is associated with a greater burden of subclinical coronary atherosclerosis.
Methods: Project Baseline Health Study participants who underwent a stress Echo and coronary artery calcium (CAC) scan were stratified by stress Echo result: -ECG/-Echo or +ECG/-Echo.
Atherosclerosis
December 2024
The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Center for Genomic Data Analytics, Icahn School of Medicine at Mount Sinai, New York, NY, USA. Electronic address:
Background And Aims: An in silico quantitative score of coronary artery disease (ISCAD), built using machine learning and clinical data from electronic health records, has been shown to result in gradations of risk of subclinical atherosclerosis, coronary artery disease (CAD) sequelae, and mortality. Large-scale metabolite biomarker profiling provides increased portability and objectivity in machine learning for disease prediction and gradation. However, these models have not been fully leveraged.
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