The Proteome of Exosomes at Birth Predicts Insulin Resistance, Adrenarche and Liver Fat in Childhood

It is unknown whether there are differentially expressed proteins (DEPs) in the circulating exosomes of appropriate- vs. small-for-gestational-age (AGA vs. SGA) infants, and if so, whether such DEPs relate to measures of endocrine-metabolic health and body composition in childhood. Proteomic analysis in cord-blood-derived exosomes was performed by label-free quantitative mass spectrometry in AGA (n = 20) and SGA infants (n = 20) and 91 DEPs were identified. Enrichment analysis revealed that they were related to complement and coagulation cascades, lipid metabolism, neural development, PI3K/Akt and RAS/RAF/MAPK signaling pathways, phagocytosis and focal adhesion. Protein-protein interaction (PPI) analysis identified 39 DEPs involved in the pathways enriched by the KEGG and Reactome. Those DEPs were associated with measures of adiposity and insulin resistance and with liver fat at age 7 (all <i>p</i> < 0.01). Multivariate linear regression analysis uncovered that two DEPs (up-regulated in SGA), namely PCYOX1 (related to adipogenesis) and HSP90AA1 (related to lipid metabolism and metabolic-dysfunction-associated steatotic liver disease progression), were independent predictors of the hepatic fat fraction at age 7 (β = 0.634; <i>p</i> = 0.002; R<sup>2</sup> = 52% and β = 0.436; <i>p</i> = 0.009; R<sup>2</sup> = 24%, respectively). These data suggest that DEPs at birth may predict insulin resistance, adrenarche and/or ectopic adiposity in SGA children at age 7, when an early insulin-sensitizing intervention could be considered.

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Publication Details

Journal
International Journal of Molecular Sciences
Published
2025-02-18
DOI
https://doi.org/10.3390/ijms26041721
Citations
4
Primary Topic
Extracellular vesicles in disease
Type
article
Field-Weighted Citation Impact
3.22

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article

The Proteome of Exosomes at Birth Predicts Insulin Resistance, Adrenarche and Liver Fat in Childhood

Francesc Villarroya, Abel López‐Bermejo, Marta Díaz, Francis de Zegher et al.
4 citations
International Journal of Molecular Sciences
Extracellular vesicles in disease
3.22
article

The Proteome of Exosomes at Birth Predicts Insulin Resistance, Adrenarche and Liver Fat in Childhood

Francesc Villarroya, Abel López‐Bermejo, Marta Díaz, Francis de Zegher, Paula Casano, Tania Quesada‐López, Lourdes Ibáñez
article en
4 citations

Abstract

It is unknown whether there are differentially expressed proteins (DEPs) in the circulating exosomes of appropriate- vs. small-for-gestational-age (AGA vs. SGA) infants, and if so, whether such DEPs relate to measures of endocrine-metabolic health and body composition in childhood. Proteomic analysis in cord-blood-derived exosomes was performed by label-free quantitative mass spectrometry in AGA (n = 20) and SGA infants (n = 20) and 91 DEPs were identified. Enrichment analysis revealed that they were related to complement and coagulation cascades, lipid metabolism, neural development, PI3K/Akt and RAS/RAF/MAPK signaling pathways, phagocytosis and focal adhesion. Protein-protein interaction (PPI) analysis identified 39 DEPs involved in the pathways enriched by the KEGG and Reactome. Those DEPs were associated with measures of adiposity and insulin resistance and with liver fat at age 7 (all <i>p</i> < 0.01). Multivariate linear regression analysis uncovered that two DEPs (up-regulated in SGA), namely PCYOX1 (related to adipogenesis) and HSP90AA1 (related to lipid metabolism and metabolic-dysfunction-associated steatotic liver disease progression), were independent predictors of the hepatic fat fraction at age 7 (β = 0.634; <i>p</i> = 0.002; R<sup>2</sup> = 52% and β = 0.436; <i>p</i> = 0.009; R<sup>2</sup> = 24%, respectively). These data suggest that DEPs at birth may predict insulin resistance, adrenarche and/or ectopic adiposity in SGA children at age 7, when an early insulin-sensitizing intervention could be considered.

International Journal of Molecular SciencesVol. 26(4)
Hospital Sant Joan de Déu Barcelona (ES), Universitat de Girona (ES), Instituto de Salud Carlos III (ES), Spanish Biomedical Research Centre in Physiopathology of Obesity and Nutrition (ES), Hospital de Sant Pau (ES), Centro de Investigación Biomédica en Red Diabetes y Enfermedades Metabólicas Asociadas (ES), Institut d'Investigació Biomèdica de Girona (ES), Institute for Research in Biomedicine (ES), Universitat de Barcelona (ES), KU Leuven (BE)
Universidad Complutense de Madrid, Ministerio de Ciencia e Innovación, Centro de Investigación Biomédica en Red Diabetes y Enfermedades Metabólicas Asociadas, Instituto de Salud Carlos III
Openalex Percentile: Top 9%
Extracellular vesicles in disease
3.22
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