Journals / Sakarya Tıp Dergisi / 2021 / Cilt: 11 - Sayı: 3

Altered Serum Chitotriosidase Activity and Irisin Level in Obese Children

Obez Çocuklarda Değişen Serum Kitotriosidaz Aktivitesi ve İrisin Düzeyi

Pages
523–532
Publication Date
2021-09-22
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

We argue that ChT and irisin should be considered potential biomarkers of metabolic syndrome in children with obesity.

📌 3 Key Takeaways

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Objective & Hypothesis:Objective:In this study, we aimed to investigate serum chitotriosidase (ChT) activity and irisin levels in children with obesity and compare them to those of healthy counterparts.
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Key Findings & Data:Material and Methods: A total of 91 obese and 83 normal-weight children were included in the study.
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Conclusion & Impact:We argue that ChT and irisin should be considered potential biomarkers of metabolic syndrome in children with obesity.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Obezite · Çocukluk çağı · İrisin

Abstract

Objective:In this study, we aimed to investigate serum chitotriosidase (ChT) activity and irisin levels in children with obesity and compare them to those of healthy counterparts. Material and Methods: A total of 91 obese and 83 normal-weight children were included in the study. Serum ChT activity and irisin levels of children with obesity were compared to those of normal-weight children. Results: The mean ChT value in the obese group was 1825.332 ± 4804.147 nmol/L/h and was significantly higher than that in the control group. In contrast, the mean irisin level, 2679.663 ± 5473.58 pg/ml, was lower than that in the control group. The cutoff point of the continuous variable selected in the model for ChT was 601, with 31.9% sensitivity, 90.6% specificity, and an area under the curve of 0.596. The cutoff point for irisin was 901.4, with 83.5% sensitivity, 42.4% specificity, and an area under the curve of 0.617. Conclusion: This study is the first to show decreased serum both serum ChT activity and irisin level and ChT’s association with irisin levels in children with obesity . We argue that ChT and irisin should be considered potential biomarkers of metabolic syndrome in children with obesity.

Özet

Amaç: Bu çalışmada obez çocuklar ile sağlıklı çocukların serum kitotriosidaz (ChT) aktivitesi ve irisin düzeylerini araştırmayı karşılaştırmayı amaçladık. Gereç ve Yöntemler: Çalışmaya 91 obez ve 83 normal kilolu çocuk dahil edildi. Obeziteye sahip çocukların serum ChT aktivitesi ve irisin düzeyleri normal kilolu çocuklarla karşılaştırıldı. Bulgular: Obez grupta ortalama ChT değeri 1825.332 ± 4804.147 nmol / L / h idi ve kontrol grubuna göre anlamlı derecede yüksekti. Buna karşılık, ortalama irisin seviyesi 2679.663 ± 5473.58 pg / ml, kontrol grubuna göre daha düşüktü. ChT için seçilmiş sürekli değişken modelde cutoff değeri 601, duyarlılık % 31.9, özgüllük % 90.6 ve eğri altında bir alan 0.596 idi. İrisin için cutoff değeri 901,4, duyarlılık % 83,5, özgüllük % 42,4 ve eğri altındaki alan 0,617. Sonuç: Bu çalışma, obezitesi olan çocuklarda serum ChT aktivitesi ve irisin düzeyinin azaldığını ve ChT'nin irisin düzeyleri ile ilişkisini gösteren ilk çalışmadır.ChT ve irisin'in obezitesi olan çocuklarda metabolik sendromun potansiyel biyobelirteçleri olarak kabul edilmesi gerektiğini savunuyoruz.

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Cite This Article

DURANKUŞ, F., ŞENKAL, E., DURANKUŞ, R., SİLİSTRE, E. S., SAYIN, O., POTAS, N., ALBAYRAK, Y. (2021). Altered Serum Chitotriosidase Activity and Irisin Level in Obese Children. Sakarya Tıp Dergisi, Cilt: 11 - Sayı: 3, 523–532. https://ajindex.com/articles/398961

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References (15)

  1. Kawasaki M, Arata N, Miyazaki C, ve ark. Obesity and abnormal glucose tolerance in offspring of diabetic mothers: a systematic review and meta-analysis. 2018;13(1):e0190676
  2. Kumar S, Kelly AS. Review of childhood obesity: from epidemiology, etiology, and comorbidities to clinical assessment and treatment. Mayo Clinic Proceedings, 2017: Elsevier:251-65
  3. Oken E, Levitan E, Gillman MJIjoo. Maternal smoking during pregnancy and child overweight: systematic review and meta-analysis. 2008;32(2):201-10
  4. Umer A, Kelley GA, Cottrell LE, Giacobbi P, Innes KE, Lilly CLJBph. Childhood obesity and adult cardiovascular disease risk factors: a systematic review with meta-analysis. 2017;17(1):683
  5. Donoso A, Córdova P, Hevia Juricic MdP, Arriagada D. The obese child in the intensive care unit. Update. 2016
  6. Rajjo T, Mohammed K, Alsawas M, ve ark. Treatment of pediatric obesity: an umbrella systematic review. 2017;102(3):763-75
  7. Trandafir L, Temneanu OJJom, life. Pre and post-natal risk and determination of factors for child obesity. 2016;9(4):386
  8. Winck AD, Heinzmann-Filho JP, Soares RB, Silva JSd, Woszezenki CT, Zanatta LBJRPdP. Effects of obesity on lung volume and capacity in children and adolescents: a systematic review. 2016;34(4):510-7. 9. de Vries MA, Klop B, Janssen HW, Njo TL, Westerman EM, Cabezas MC. Postprandial inflammation: targeting glucose and lipids. Oxidative Stress and Inflammation in Non-communicable Diseases-Molecular Mechanisms and Perspectives in Therapeutics,(ed.). Springer; 2014:161-70
  9. Yudkin JJIJoO. Adipose tissue, insulin action and vascular disease: inflammatory signals. 2003;27(3):S25-S8
  10. Arslan N, Erdur B, Aydin AJIp. Hormones and cytokines in childhood obesity. 2010;47(10):829-39
  11. Calle EE, Kaaks RJNRC. Overweight, obesity and cancer: epidemiological evidence and proposed mechanisms. 2004;4(8):579-91
  12. Ridker PMJC. High-sensitivity C-reactive protein: potential adjunct for global risk assessment in the primary prevention of cardiovascular disease. 2001;103(13):1813-8
  13. Fogarty AW, Glancy C, Jones S, Lewis SA, McKeever TM, Britton JRJTAjocn. A prospective study of weight change and systemic inflammation over 9 y. 2008;87(1):30-5
  14. Saltevo J, Vanhala M, Kautiainen H, Laakso MJD, Research VD. Levels of adiponectin, C-reactive protein and interleukin-1 receptor antagonist are associated with the relative change in body mass index between childhood and adulthood. 2007;4(4):328-31
  15. Artieda M, Cenarr