Serum IL-36β levels are associated with Insulin sensitivity in paediatric patients with obesity.
Paloma Narros-FernándezAndrew O'DonnellClodagh SheehyShrikanth Chomanahalli BasavarajappaYasmina Esther Hernandez SantanaDavid KinlenDeclan CodyAndrew E HoganPatrick T WalshPublished in: International journal of obesity (2005) (2024)
Although the orchestrating role of Interleukin-36 cytokines in regulating inflammation at barrier tissue sites, is well established, whether they play a significant role in the settings of metabolic health and disease, has yet to be fully established. Several recent studies have demonstrated that IL-36 cytokine expression is elevated among adult patients with obesity, and can play roles in regulating both insulin sensitivity and driving inflammation. In this report, we have extended these analyses to paediatric patients and identified an association between elevated serum levels of expression of the specific Interleukin-36 subfamily member, IL-36β, among children with obesity displaying insulin sensitivity, compared to children with obesity who are insulin resistant. While these data further indicate a possible protective role for IL-36 in metabolic health, they also differ with previous findings from an adult patient cohort, where elevated levels of the related cytokine, IL-36γ, were found to occur in association with improved metabolic health. While highlighting important differences between paediatric and adult patient cohorts in the context of metabolic disease associated with obesity, these data underscore the need for a deeper mechanistic analysis of the role of IL-36 cytokines in disease.
Keyphrases
- insulin resistance
- metabolic syndrome
- type diabetes
- weight loss
- weight gain
- high fat diet induced
- healthcare
- public health
- intensive care unit
- mental health
- poor prognosis
- emergency department
- oxidative stress
- young adults
- health information
- case report
- adipose tissue
- electronic health record
- ejection fraction
- newly diagnosed
- end stage renal disease
- big data
- prognostic factors
- machine learning
- physical activity
- binding protein
- body mass index
- skeletal muscle
- glycemic control
- artificial intelligence
- risk assessment
- health promotion
- human health
- long non coding rna
- deep learning
- genome wide identification