scholarly journals CCL2 level is elevated with metabolic syndrome and CXCL10 level is correlated with visceral fat area in obese children

2016 ◽  
Vol 63 (9) ◽  
pp. 795-804 ◽  
Author(s):  
Masahiro Ishii ◽  
Shunsuke Araki ◽  
Motohide Goto ◽  
Yukiyo Yamamoto ◽  
Koichi Kusuhara
2006 ◽  
Vol 91 (12) ◽  
pp. 5113-5116 ◽  
Author(s):  
Shunsuke Araki ◽  
Kazushige Dobashi ◽  
Kazuyasu Kubo ◽  
Kohtaro Asayama ◽  
Akira Shirahata

Abstract Context: Japanese are prone to obesity-induced metabolic derangement, which is linked to serum adipocytokine profile even in children. Objective: The objective of the study was to determine whether high molecular-weight adiponectin (H-Adn) more specifically relates to metabolic derangement in obese children than total adiponectin (T-Adn). Design and Setting: A case (n = 59) control (n = 28) study was performed at the pediatric clinic of a university hospital. Patients: Japanese obese children (38 boys and 21 girls) were consecutively enrolled. The ages ranged from 5 to 15 (10.3 ± 0.3; mean ± sem) yr. Nonobese children (15 boys and 13 girls) were assigned as age-matched controls. Main Outcome Measures: Serum adiponectin multimeric complexes were assayed by an ELISA kit. The relationship of adiponectin to metabolic abnormalities was evaluated. Results: T-Adn (5.1 ± 0.2 vs. 8.8 ± 0.4 μg/ml), H-Adn (1.3 ± 0.1 vs. 4.8 ± 0.4 μg/ml), and medium molecular weight-Adn were significantly lower in obese than in control children. After adjustment for age and sex, both T- and H-Adn were inversely correlated with insulin and homeostasis model of assessment-insulin resistance, whereas H-Adn (but not T-Adn) inversely correlated with visceral fat area, as determined by computed tomography. Seven obese children were estimated to have metabolic syndrome and showed selective decrease in H-Adn and H/T-Adn. Conclusion: H-Adn reflects metabolic abnormalities due to obesity better than T-Adn in children. H-Adn is associated with the development of metabolic syndrome, even in childhood.


2011 ◽  
Vol 38 (4) ◽  
pp. 532-536
Author(s):  
Ikuma KASUGA ◽  
Nanako OSHIDA ◽  
Makoto KOBAYASHI ◽  
Tsunehiro FUKUI ◽  
Daisuke TAKAHASHI ◽  
...  

2018 ◽  
Vol 39 (4) ◽  
pp. 239-246 ◽  
Author(s):  
Arang Lee ◽  
Ye Ji Kim ◽  
Seung-Won Oh ◽  
Cheol Min Lee ◽  
Ho Chun Choi ◽  
...  

2021 ◽  
Vol 36 (1) ◽  
pp. 97-105
Author(s):  
Han Ho Jeon ◽  
Yong Kang Lee ◽  
Dong Hyun Kim ◽  
Haeyong Pak ◽  
Sang Yun Shin ◽  
...  

2019 ◽  
Vol 7 (23) ◽  
pp. 3930-3936 ◽  
Author(s):  
Nagwa Abdallah Ismail ◽  
Shadia H. Ragab ◽  
Abeer M. Nour E lDin Abd ElBaky ◽  
Mona Hamid Ibrahim

BACKGROUND: Obese children and adolescents are more prone to have metabolic syndrome (MS).MS is a cluster of cardiovascular risk factors associated with insulin resistance. Body round index [BRI], visceral adiposity index [VAI] and a body shape index [ABSI] are among the new obesity anthropometric parameters. AIM: To evaluate the new markers for obesity in children and their possible association with other laboratory and clinical variables of MS. METHODS: Eighty nine obese children and 40 controls aged 10-18 years were recruited. Full history taking, thorough clinical examination, anthropometric and biochemical features were performed in the studied groups. Subcutaneous fat thickness (SFT) and visceral fat thickness (VFT) were estimated by ultrasonography. RESULTS: Obese children, exhibited significantly higher values in all anthropometric measurements (P < 0.001). Diastolic and systolic blood pressure were significantly higher (P < 0.001) in the obese group. ABSI, BRI and VAI have been found to be significantly higher in obese subjects (P < 0.001), with no significant gender difference. BMI, WHtR, WC/HR, SBP, DBP, subcutaneous fat thickness and visceral fat thickness, Liver Span, ABSI, BRI, VAI and HOMA_IR were significantly higher among children with MS than those without MS. Positive significant correlations of VAI with BMI, WC/Ht, WC/Hip, SBP, DBP, SFT, VFT, Liver size and HOMA-IR (r = 0.384, 0.239, 0.268, 0.329, 0.516, 0.320, 0.254, 0.251, and 0.278 respectively) are shown. The area under the ROC curve (AUC) of BMI, VAI, ABSI, BRI for predicting MS was 0.802 (0.701-0.902), 0.737 (0.33-0.841), 0.737 (0.620-0.855), 0.816 (0.698-0.934). CONCLUSION: We suggest using the VAI and WHtR indexes, as they are better predictor of MS.


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