Tumour necrosis factor like cytokine 1A levels and lesion complexity in non-smoking patients with coronary artery disease
Background: Tumour necrosis factor like cytokine 1A (TL1A), which is a member of tumour necrosis factor alpha superfamily (TNF-α), is a novel indicator of atherosclerosis. Objective: Smoking is an established stimulant of TNF-α. We aimed to investigate whether TLA1 plays a role in the presence and c...
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Published in: | Biomarkers Vol. 24; no. 8; pp. 764 - 770 |
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Main Authors: | , , , |
Format: | Journal Article |
Language: | English |
Published: |
England
Taylor & Francis
17-11-2019
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Subjects: | |
Online Access: | Get full text |
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Summary: | Background: Tumour necrosis factor like cytokine 1A (TL1A), which is a member of tumour necrosis factor alpha superfamily (TNF-α), is a novel indicator of atherosclerosis.
Objective: Smoking is an established stimulant of TNF-α. We aimed to investigate whether TLA1 plays a role in the presence and complexity of coronary artery atherosclerosis, exclusively in non-smoking patients with CAD.
Methods: We enrolled 103 participants in the study, who underwent coronary angiography for stable angina pectoris. We divided the study population into 2 groups: The CAD group consisted of 62 patients with CAD and the control group consisted of 41 subjects with non-CAD. SYNTAX and Gensini scores, indicating CAD severity and complexity, were analysed as well as TLA1 levels.
Results: TLA1 levels was higher in patients with CAD than those in controls (228[119-824] vs 178[15-418]pg/ml, p < 0.001). Presence of CAD (β ± SE = 106.29 ± 33.11, p = 0.002), Syntax score (β ± SE= 6.57 ± 1.75, p = 0.012), and Gensini score (β ± SE = 2.30 ± 0.65, p = 0.001) were found to be predictors of TL1A levels. Gensini score and Syntax score were positively correlated with TL1A levels (r = 0.420, p < 0.001, and r = 0.402, p < 0.001, respectively).
Conclusions: Non-smoker CAD patients have higher TLA1 levels that are promising biomarker for diagnosing CAD and indicating CAD lesion complexity. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1354-750X 1366-5804 |
DOI: | 10.1080/1354750X.2019.1685004 |