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Relationship of thoracic fat depots with coronary atherosclerosis and circulating inflammatory biomarkers.

ABSTRACT: The aim of the study was to determine the relationship of various thoracic fat depots with the presence and extent of coronary artery plaque and circulating biomarkers.In 342 patients (52?±?11 years, 61% male, BMI 29.1?±?5.9 kg/m(2) ) with coronary computed tomography (CT), angiography, we measured the fat volume in four thoracic depots (pericoronary, epicardial, periaortic, extracardiac), assessed coronary plaque, and determined the circulating levels of C-reactive protein, tumor necrosis factor alpha, plasminogen activator inhibitor-1, monocyte chemoattractant protein-1, and adiponectin. The extent of coronary plaque was classified into three groups: 0, 1-3, and >3 segments.Patients with plaque (n =169, 49%) had higher volumes of all four fat depots as compared to patients without plaque (all P?

SUBMITTER: Maurovich-Horvat P

PROVIDER: S-EPMC4446160 | biostudies-literature | 2015 Jun

REPOSITORIES: biostudies-literature

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Relationship of thoracic fat depots with coronary atherosclerosis and circulating inflammatory biomarkers.

Maurovich-Horvat Pál P Kallianos Kimberly K Engel Leif-Christopher LC Szymonifka Jackie J Schlett Christopher L CL Koenig Wolfgang W Hoffmann Udo U Truong Quynh A QA

Obesity (Silver Spring, Md.) 20150509 6

<h4>Objective</h4>The aim of the study was to determine the relationship of various thoracic fat depots with the presence and extent of coronary artery plaque and circulating biomarkers.<h4>Methods</h4>In 342 patients (52 ± 11 years, 61% male, BMI 29.1 ± 5.9 kg/m(2) ) with coronary computed tomography (CT), angiography, we measured the fat volume in four thoracic depots (pericoronary, epicardial, periaortic, extracardiac), assessed coronary plaque, and determined the circulating levels of C-reac ...[more]

PMID: 25960369

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Project description:Background: Circular RNA (circRNA) has been reported to be involved in the pathogenesis of cardiovascular disease (CVD), however, it is unclear whether circRNA carried by exosomes (exos) can be used as biomarkers for chronic coronary syndrome (CCS). This study aimed to investigate the expression pattern of exosomal circRNAs in the plasma of CCS patients, and to screen exo-circRNAs that can act as biomarkers for the diagnosis of CCS. Methods: High-throughput sequencing technology was carried out in the plasma exosomal RNA of 15 CCS patients and 15 non-cardiac chest pain patients (NCCP, control group) (sequencing cohort) to screen for differentially expressed circRNAs. Selected differentially expressed exo-circRNAs were further verified by real time polymerase chain reaction (RT-PCR) in a small-sample cohort (derivation cohort) and a large-sample cohort (validation cohort). Receiver operating characteristic (ROC) curve analysis was performed to evaluate the diagnostic value of exo-circRNAs for CCS patients. Results: By high-throughput sequencing of circRNAs in 15 CCS patients and 15 NCCP patients, 276 circRNAs differentially expressed in plasma exosomes of CCS patients were screened by using |log2(Fold change) |>1 and q-value<0.001, and 103 were up-regulated and 173 were down-regulated. Among the 103 up-regulated circRNAs, 5 circRNAs with high expression levels and significantly increased in plasma exosomes of CCS patients were selected for validation. Twice RT-PCR validation demonstrated that exo-hsa_circ_0075269 and exo-hsa_circ_0000284 were significantly up-regulated in patients with CCS (P<0.001). Circulating exo-hsa_circ_0075269 and exo-hsa_circ_0000284 yielded the area under the curve (AUC) values of 0.761 (P<0.001, 95%CI=0.669, 0.852) and 0.623 (P=0.015, 95%CI=0.522, 0.724) for CCS, respectively by ROC curve analysis. Moreover, AUC of hsa_circ_0075269 combined with hsa_circ_0000284 for diagnosing CCS was 0.741 (P<0.001, 95%CI=0.667, 0.850). Conclusion: The expression profile of circRNA in plasma exosomes of patients with CCS was significantly different from that of the control group. Plasma exo-hsa_circ_0075269 and exo-hsa_circ_0000284 have the potential to be new biomarkers for CCS diagnosis.

Dataset Information

Relationship of thoracic fat depots with coronary atherosclerosis and circulating inflammatory biomarkers.

Publications

Relationship of thoracic fat depots with coronary atherosclerosis and circulating inflammatory biomarkers.

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