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Published on: August 7, 2017
Inverse correlation of serum inflammatory markers with metabolic parameters in healthy, Black and White prepubertal
J Zabaleta1, C Velasco-Gonzalez2, J Estrada3
11] Department of Pediatrics and Stanley S. Scott Cancer Center, Louisiana State University Health Sciences Center, New Orleans, LA, USA [2] Behavioral & Community Health Sciences Program, School of Public Health, Louisiana State University Health Sciences Center, New Orleans, LA, USA.
Insights
In healthy children aged 7-9, pro-inflammatory cytokines like TNF-α and IL-8 showed inverse correlations with obesity markers. These relationships differ from adults, suggesting unique pediatric metabolic regulation.
Area of Science:
- Pediatric Endocrinology
- Immunology
- Metabolic Health
Background:
- Obesity is linked to chronic inflammation and metabolic dysfunction in adults.
- Understanding these associations in prepubertal children is crucial for early disease risk assessment.
- Race and age are important factors in pediatric metabolic health.
Purpose of the Study:
- To investigate the relationship between pro-inflammatory cytokines and obesity-related metabolic biomarkers in prepubertal children.
- To compare these associations between Black and White children.
- To examine differences compared to adult patterns.
Main Methods:
- Assessed body mass index (BMI), insulin resistance, adipose tissue (visceral, subcutaneous), intrahepatic lipid (IHL), and intramyocellular lipid (IMCL) in 40 obese and non-obese children (7-9 years).
- Measured serum levels of key pro-inflammatory cytokines: IL-1, IL-6, IL-8, TNF-α, and MCP-1.
- Utilized magnetic resonance imaging (MRI), dual-energy X-ray absorptiometry, and proton magnetic resonance spectroscopy for body composition and fat distribution.
Main Results:
- Found significant inverse correlations between BMI z-score, subcutaneous adipose tissue (SAT), total body fat (BF), and IHL with tumor necrosis factor alpha (TNF-α).
- Interleukin-8 (IL-8) levels were inversely correlated with intramyocellular lipid (IMCL), remaining significant after adjusting for race.
- Intramyocellular lipid (IMCL) showed an inverse association with TNF-α, particularly after race adjustment.
Conclusions:
- The study reveals reversed relationships between pro-inflammatory markers and metabolic parameters in healthy prepubertal children compared to adults.
- These findings highlight distinct inflammatory and metabolic profiles in early childhood obesity.
- Further longitudinal research is needed to understand the long-term implications for chronic disease risk.
Objective:
To examine for the first time the associations between pro-inflammatory cytokines and obesity-related metabolic biomarkers in, exclusively prepubertal, otherwise healthy obese and non-obese Black and White children, 7-9 years of age.
Design And Methods:
Body mass index (BMI), homeostasis model assessment-estimated insulin resistance, visceral adipose tissue and subcutaneous adipose tissue (SAT (magnetic resonance imaging)); total body fat (dual-energy X-ray absorptiometry), ectopic, intrahepatic lipid (IHL) and intramyocellular lipid (IMCL) fat (proton magnetic resonance spectroscopy) and serum levels of interleukin (IL)-1, IL-6, IL-8, tumor necrosis factor alpha (TNF-α) and monocyte chemoattractant protein-1 were measured in 40 obese and non-obese children. Relationships between inflammatory cytokines and obesity were assessed by analysis of variance and Spearman's rank correlation.
Results:
Significant inverse correlations were found between BMI z-score, SAT, total BF, and IHL and levels of TNF-α (Spearman's ρ=-0.36, -0.39, -0.43 and -0.39, respectively; P<0.05). Levels of IL-8 were significantly and inversely correlated with IMCL (-0.39; P=0.03) and remained significant after adjusting for race. IMCL was inversely associated with TNF-α only after adjusting for race (-0.37; P=0.04).
Conclusions:
Relationships between pro-inflammatory and metabolic markers commonly observed in adults are reversed in healthy, Black and White children before puberty. Prospective studies are warranted to determine how these inverse relationships modify chronic disease risk later in life.
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