Impact of adiposity on cellular adhesion: The Multi‐Ethnic Study of atherosclerosis (MESA)

Christoph, Mary J.; Allison, Matthew A.; Pankow, James S.; Decker, Paul A.; Kirsch, Phillip S.; Tsai, Michael Y.; Sale, Michèle M.; Andrade, Mariza de; Sicotte, Hugues; Tang, Weihong; Hanson, Naomi Q.; Berardi, Cecilia; Wassel, Christina L.; Larson, Nicholas B.; Bielinski, Suzette J.

doi:10.1002/oby.21245

Cited by 10 publications

(11 citation statements)

References 40 publications

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“…As for the CAMs, a review concluded that anthropometric indicators, body composition and eating pattern positively modulate the subclinical inflammation of obesity through reducing CAMs and chemokines [ 78 ]. Moreover, a recent study also identified the relationship of adiposity to several CAMs [ 79 ].…”

Section: Discussionmentioning

confidence: 99%

Weighted gene co-expression network analysis of expression data of monozygotic twins identifies specific modules and hub genes related to BMI

et al. 2017

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BackgroundThe therapeutic management of obesity is challenging, hence further elucidating the underlying mechanisms of obesity development and identifying new diagnostic biomarkers and therapeutic targets are urgent and necessary. Here, we performed differential gene expression analysis and weighted gene co-expression network analysis (WGCNA) to identify significant genes and specific modules related to BMI based on gene expression profile data of 7 discordant monozygotic twins.ResultsIn the differential gene expression analysis, it appeared that 32 differentially expressed genes (DEGs) were with a trend of up-regulation in twins with higher BMI when compared to their siblings. Categories of positive regulation of nitric-oxide synthase biosynthetic process, positive regulation of NF-kappa B import into nucleus, and peroxidase activity were significantly enriched within GO database and NF-kappa B signaling pathway within KEGG database. DEGs of NAMPT, TLR9, PTGS2, HBD, and PCSK1N might be associated with obesity. In the WGCNA, among the total 20 distinct co-expression modules identified, coral1 module (68 genes) had the strongest positive correlation with BMI (r = 0.56, P = 0.04) and disease status (r = 0.56, P = 0.04). Categories of positive regulation of phospholipase activity, high-density lipoprotein particle clearance, chylomicron remnant clearance, reverse cholesterol transport, intermediate-density lipoprotein particle, chylomicron, low-density lipoprotein particle, very-low-density lipoprotein particle, voltage-gated potassium channel complex, cholesterol transporter activity, and neuropeptide hormone activity were significantly enriched within GO database for this module. And alcoholism and cell adhesion molecules pathways were significantly enriched within KEGG database. Several hub genes, such as GAL, ASB9, NPPB, TBX2, IL17C, APOE, ABCG4, and APOC2 were also identified. The module eigengene of saddlebrown module (212 genes) was also significantly correlated with BMI (r = 0.56, P = 0.04), and hub genes of KCNN1 and AQP10 were differentially expressed.ConclusionWe identified significant genes and specific modules potentially related to BMI based on the gene expression profile data of monozygotic twins. The findings may help further elucidate the underlying mechanisms of obesity development and provide novel insights to research potential gene biomarkers and signaling pathways for obesity treatment. Further analysis and validation of the findings reported here are important and necessary when more sample size is acquired.Electronic supplementary materialThe online version of this article (10.1186/s12864-017-4257-6) contains supplementary material, which is available to authorized users.

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Section: Discussionmentioning

confidence: 99%

Weighted gene co-expression network analysis of expression data of monozygotic twins identifies specific modules and hub genes related to BMI

et al. 2017

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“…VCAM-1 relates to the thickness of the carotid intima-media and its plaque in rheumatoid arthritis [ 40 ]. In women, serum sVCAM-1 is inversely correlated with visceral adipose tissue [ 41 ]. In persons with hyperglycemia, moderate exercise was shown to increase sVCAM-1 [ 42 ].…”

Section: Discussionmentioning

confidence: 99%

“…Platelet P-selectin is associated with hypertension [ 73 ]; in patients with hypertension caused by primary aldosteronism serum, sP-selectin decreased after removal of aldosterone-secreting adrenal adenoma [ 74 ]. Plasma sP-selectin associates with waist-to-hip ratio and visceral adipose tissue in men [ 41 ]. In healthy persons, physical effort relates to lower sP-selectin [ 75 ].…”

Section: Discussionmentioning

confidence: 99%

Increased Soluble VCAM-1 and Normal P-Selectin in Cystic Fibrosis: a Cross-Sectional Study

Nowak

Wojsyk‐Banaszak

Mądry

et al. 2017

Lung

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PurposeAs life expectancy in cystic fibrosis (CF) increases, questions regarding its potential impact on cardiovascular health arise. Soluble vascular cell adhesion molecule 1 (sVCAM-1), P-selectin (sP-selectin) are proposed as biomarkers of cardiovascular disease. We aimed to: compare their concentrations in clinically stable CF patients and healthy subjects (HS) and verify whether they independently correlate with CF characteristics.MethodsSerum sVCAM-1 and sP-selectin levels were measured using ELISA. CF was characterized using: forced expiratory volume in 1 s, exocrine pancreatic and CF-related liver disease status, Pseudomonas aeruginosa colonization, serum high-sensitivity C-reactive protein, and body mass index (BMI). CFTR genotypes were classified as severe (classes I and II) or other.Results108 CF patients and 51 healthy subjects volunteered for the study. In the CF group BMI was lower (median [IQR]: 20.5 kg/m2 [18.4–22.2] vs. 21.6 kg/m2 [19.9–23.4], p = 0.02) and hsCRP levels were higher (3.6 mg/L [1.1–7.1] vs. 0.5 mg/dL [0.3–1.0], p < 10−10). While sVCAM-1 concentrations were greater in CF patients (1018 ng/mL [851–1279] vs. 861 ng/mL [806–979], p < 10−4), sP-selectin levels did not differ (155 ng/mL [129–188] vs. 156 ng/mL [144–177], p = 0.48). None of the multivariable regression models was valid for the prediction of sVCAM-1 and sP-selectin in CF.ConclusionsWe found higher sVCAM-1 concentrations in CF patients than in healthy subjects, which were not explained by CF characteristics. Further research is required to check whether sVCAM-1 is a marker of microangiopathy in CF.

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“…In the current study, low HDL is associated with increased inflammation, endothelial dysfunction, and low adiponectin ( Table 2 ). In the study of Acute Coronary Syndrome Patients in Middle East (6,266 patients), obesity was the main predictor of low HDL [ 18 ]. Moderate weight loss, regular exercise, and cessation of smoking significantly increase HDL [ 18 ].…”

Section: Discussionmentioning

confidence: 99%

Subclinical Inflammation and Endothelial Dysfunction in Young Patients with Diabetes: A Study from United Arab Emirates

et al. 2016

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BackgroundThe impact of obesity and dyslipidemia on cardiovascular health in adolescents and young adults with diabetes is incompletely understood. This study evaluated the effects of these co-morbidities on markers of inflammation and endothelial dysfunction in young patients with the disease.MethodsThe study investigated sets of inflammatory, endothelial, and adipocyte biomarkers in 79 patients with type 1 diabetes, 55 patients with type 2 diabetes, and 47 controls.ResultsMean (±SD) age was 20±6 y (median = 17, range = 12–31). Patients with diabetes had higher levels of cytoadhesive molecules (sICAM-1 and sVCAM-1, p<0.001), adiponectin (p<0.001), and haptoglobin (p = 0.023). Their heart rate variability assessment revealed lower standard deviation of beat-to-beat intervals and lower total power (p≤0.019), reflecting autonomous nervous dysfunction. Hemoglobin A1c >8.0% (estimated average blood glucose >10 mmol/L) was associated with higher adiponectin (p<0.001) and obesity was associated with lower adiponectin (p<0.001); thus, obesity damped the effect of hyperglycemia on adiponectin. Obesity was associated with higher sICAM-1 (p≤0.015), tumor necrosis factor-α (TNFα), interleukin-6 (IL-6), and high-sensitivity C-reactive protein (hs-CRP), p<0.001. Similarly, high-density lipoprotein (HDL) <1.02 mmol/L was associated with higher sICAM-1, TNFα, IL-6, and hsCRP (p≤0.009) and lower adiponectin (p<0.001). Adiponectin correlated negatively with the inflammatory biomarkers in patients with diabetes.ConclusionSubclinical inflammation and endothelial dysfunction are common among young patients with diabetes. Poor diabetes control is associated with higher adiponectin. Obesity and dyslipidemia are associated with lower adiponectin and higher inflammatory and endothelial biomarkers. Intuitively, these predictors of cardiovascular disease are amenable to proper glycemic control, nutritional choices, and regular exercise.

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Impact of adiposity on cellular adhesion: The Multi‐Ethnic Study of atherosclerosis (MESA)

Cited by 10 publications

References 40 publications

Weighted gene co-expression network analysis of expression data of monozygotic twins identifies specific modules and hub genes related to BMI

Weighted gene co-expression network analysis of expression data of monozygotic twins identifies specific modules and hub genes related to BMI

Increased Soluble VCAM-1 and Normal P-Selectin in Cystic Fibrosis: a Cross-Sectional Study

Subclinical Inflammation and Endothelial Dysfunction in Young Patients with Diabetes: A Study from United Arab Emirates

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