Cardiovascular disease biomarkers across autoimmune diseases

Ahearn, Joseph M.; Shields, Kelly J.; Liu, Chau‐Ching; Manzi, Susan

doi:10.1016/j.clim.2015.05.024

Cited by 20 publications

(13 citation statements)

References 53 publications

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“…In addition to traditional cardiovascular risk factors, prolonged steroid therapy, chronicity and activity of disease, and postmenopausal status appear to raise risk specifically in CTD patients 31 32 . Many pathogenic mechanisms for increased atherosclerosis are possible in patients with CTD and likely overlap with the pathophysiology of the specific CTD itself; these include systemic inflammatory responses, autoantibody and immune complex mediated processes, and increased inflammatory cytokines from activated T cells both systemically and locally at the atheroma 33 . Some of these mechanisms, along with secondary increases in sympathetic tone, may also account for other clinical important cardiovascular outcomes in CTD patients, including heart failure and arrhythmia 15 16 17 34 .…”

Section: Discussionmentioning

confidence: 99%

The Prevalence of Atherosclerosis in Those with Inflammatory Connective Tissue Disease by Race, Age and Traditional Risk Factors

Alenghat

2016

Sci Rep

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Systemic inflammation promotes cardiovascular disease. Inflammatory connective tissue diseases (CTD) like lupus and rheumatoid arthritis associate with cardiovascular risk, but it is unknown whether particular groups of patients have enhanced propensity for atherosclerotic cardiovascular disease (ASCVD) associated with their CTD. Analysis of aggregate health record data at a large U.S. academic center identified CTD and ASCVD status for 287,467 African American and white adults. ASCVD prevalence in those with CTD was 29.7% for African Americans and 14.7% for white patients with prevalence ratios, compared to those without CTD, of 3.1 and 1.8, respectively. When different types of CTD were analyzed individually (rheumatoid arthritis; lupus; scleroderma; Sjögren Syndrome; dermatomyositis/polymyositis; unspecified/mixed CTD; other inflammatory arthropathy), increased ASCVD rates were found in nearly all subsets, always with higher prevalence ratios in African Americans. The prevalence ratio of ASCVD was particularly high in young African Americans. Furthermore, individuals lacking traditional cardiovascular risk factors had more ASCVD if they had CTD (prevalence ratio 2.9). Multivariate analysis confirmed a positive interaction between CTD and African-American race and a negative interaction between CTD and age. The factors driving the observed disproportionate CTD-associated ASCVD in African Americans, young adults, and those without traditional risk factors warrant further study.

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Section: Discussionmentioning

confidence: 99%

The Prevalence of Atherosclerosis in Those with Inflammatory Connective Tissue Disease by Race, Age and Traditional Risk Factors

Alenghat

2016

Sci Rep

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“…Cardiovascular diseases related to stroke and coronary heart disease are increasingly recognized as leading causes of premature mortality. Hence, therapeutic intervention and early prevention are urgently needed to address this issue [33] . In the diabetic mouse myocardium, 45 circRNAs were found to be increased, while 31 were decreased.…”

Section: Circrnas In Cardiovascular Dis-easesmentioning

confidence: 99%

Roles of Circular RNAs And Their Interactions With MicroRNAs in Human Disorders

Sun¹

2018

Clin Surg Res Commun

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Circular RNAs (circRNAs) are a class of non-coding RNAs (ncRNAs) that are involved in transcriptional and posttranscriptional gene expression regulation by sponging microRNAs (miRNAs). As miRNAs control a large set of biological processes, circRNA sponge activity also affects these pathways and thereby participates in human disease initiation and development. A growing number of works have confirmed that circRNAs may play critical roles in normal human tissues and organ functions and in the pathogenesis of human diseases, mainly by interacting with miRNAs. Herein, we review the expressions and functions of circRNAs in diverse disorders, including those of the nervous system and cardiovascular system, cancer, and other common diseases. As circRNAs are easily detected in many clinical samples, they present great potential as biomarkers for disease diagnosis and prognostic evaluation; thus, the prospect of using circRNAs as biomarkers for clinical decision-making is also discussed.

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“…[8] Endothelial cells are also of interest because dysfunction of these cells is more common in those with autoimmune disease, causing accelerated atherosclerosis and other cardiovascular disease, making it a leading cause of mortality among patients, especially in rheumatic autoimmune diseases. [9][10][11] In this study, DNA methylation and gene expression changes were characterized in human umbilical vein endothelial cell (HUVEC) primary cell lines before and after treatment with TNFα in order to help identify new therapeutic targets and to provide information that can be used to help predict possible side effects. A systems biology approach, weighted gene coexpression network analysis (WGCNA), was used to construct a gene expression network and find groups of genes that not only have a high correlation of expression but high topological overlap, meaning that to be considered members of the same group, genes need to show similar correlation patterns to other genes outside of the group.…”

Section: Introductionmentioning

confidence: 99%

Global expression and CpG methylation analysis of primary endothelial cells before and after TNFa stimulation reveals gene modules enriched in inflammatory and infectious diseases and associated DMRs

et al. 2020

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Endothelial cells are a primary site of leukocyte recruitment during inflammation. An increase in tumor necrosis factor-alpha (TNFa) levels as a result of infection or some autoimmune diseases can trigger this process. Several autoimmune diseases are now treated with TNFa inhibitors. However, genomic alterations that occur as a result of TNF-mediated inflammation are not well understood. To investigate molecular targets and networks resulting from increased TNFa, we measured DNA methylation and gene expression in 40 human umbilical vein endothelial cell primary cell lines before and 24 hours after stimulation with TNFa via microarray. Weighted gene co-expression network analysis identified 15 gene groups (modules) with similar expression correlation patterns; four modules showed a strong association with TNFa treatment. Genes in the top TNFa-associated module were all up-regulated, had the highest proportion of hypomethylated regions, and were associated with 136 Disease Ontology terms, including autoimmune/inflammatory, infectious and cardiovascular diseases, and cancers. They included chemokines CXCL1, CXCL10 and CXCL8, and genes associated with autoimmune diseases including HLA-C, DDX58, IL4, NFKBIA and TNFAIP3. Cardiovascular and metabolic disease genes, including APOC1, ACLY, ELOVL6, FASN and SCD, were overrepresented in a module that was not associated with TNFa treatment. Of 223 hypomethylated regions identified, several were in promoters of autoimmune disease GWAS loci (ARID5B, CD69, HDAC9, IL7R, TNIP1 and TRAF1). Results reveal specific gene groups acting in concert in endothelial cells, delineate those driven by TNFa, and establish their relationship to DNA methylation changes, which has strong implications for understanding disease etiology and precision medicine approaches.

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Cardiovascular disease biomarkers across autoimmune diseases

Cited by 20 publications

References 53 publications

The Prevalence of Atherosclerosis in Those with Inflammatory Connective Tissue Disease by Race, Age and Traditional Risk Factors

The Prevalence of Atherosclerosis in Those with Inflammatory Connective Tissue Disease by Race, Age and Traditional Risk Factors

Roles of Circular RNAs And Their Interactions With MicroRNAs in Human Disorders

Global expression and CpG methylation analysis of primary endothelial cells before and after TNFa stimulation reveals gene modules enriched in inflammatory and infectious diseases and associated DMRs

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