Children born small-for-gestational-age exhibit normal body fat but elevated hs-CRP and hepatocellular lipid content

Leena Hintikka1,2, Jarmo Jääskeläinen1,2, Riina Palonen2,3

  • 1Department of Pediatrics, Kuopio University Hospital, Kuopio, Finland.

Pediatric Research
|October 16, 2025
PubMed

Insights

Children born small-for-gestational-age (SGA) have higher liver fat and inflammation markers. These findings suggest elevated liver triglycerides and hs-CRP in SGA children may signal future cardiometabolic risks.

Area of Science:

  • Pediatric Endocrinology
  • Metabolic Health
  • Medical Imaging

Background:

  • Small-for-gestational-age (SGA) birth is linked to increased adult cardiometabolic disease risk.
  • Hepatocellular lipid (HCL) concentrations in prepubertal children are influenced by birth size.

Purpose of the Study:

  • To investigate the impact of birth size on hepatocellular lipid (HCL) concentrations in prepubertal children.
  • To determine associations between birth size, liver fat, and metabolic/inflammatory markers.

Main Methods:

  • 195 prepubertal children (4.4-9.7 years) categorized as SGA, appropriate-for-gestational-age (AGA), or large-for-gestational-age (LGA).
  • Evaluations included dual-energy X-ray absorptiometry (DXA) for body fat, MRI/MR spectroscopy (MRS) for liver fat, anthropometry, and biochemical markers.
  • Proton MR spectroscopy (MRS) quantified HCL concentrations.

Main Results:

  • SGA children exhibited significantly higher HCL concentrations detected by MRS (p=0.02).
  • Elevated high-sensitivity C-reactive protein (hs-CRP) levels were observed in SGA children compared to AGA and LGA groups (p=0.01, p=0.002).
  • HCL concentrations correlated with hs-CRP values (R=0.51, p=0.03), independent of traditional anthropometric markers.

Conclusions:

  • SGA status is associated with elevated MRS-detectable HCL and hs-CRP in prepubertal children.
  • Elevated liver triglycerides and hs-CRP in SGA children may serve as early indicators of metabolic changes.
  • MRS can identify at-risk children for potential metabolic sequelae.
Abstract

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