AI Article Synopsis

  • - This study examines the intestinal metabolites of children aged 4-6 years with obstructive sleep apnea-hypopnea syndrome (OSAHS) compared to healthy peers, highlighting significant differences in metabolite composition.
  • - A total of 206 metabolites were identified, with 18 showing notable variances between groups; six metabolites were particularly effective in diagnosing OSAHS, notably N-acetylmethionine, which exhibited a high area under the curve for diagnostic accuracy.
  • - Correlation analyses revealed various relationships between metabolites and clinical indicators, indicating that specific metabolites could be linked to the severity of conditions like tonsil enlargement, while highlighting potential metabolic pathways affected by these metabolites.

Article Abstract

Objectives: To study the characteristics and clinical value of intestinal metabolites in children aged 4-6 years with obstructive sleep apnea-hypopnea syndrome (OSAHS).

Methods: A total of 31 children aged 4-6 years with OSAHS were prospectively enrolled as the test group, and 24 healthy children aged 4-6 years were included as the control group. Relevant clinical indicators were recorded. Fecal samples were collected, and non-targeted metabolomics analysis using liquid chromatography-mass spectrometry was performed to detect all metabolites.

Results: A total of 206 metabolites were detected, mainly amino acids and their derivatives. There was a significant difference in the overall composition of intestinal metabolites between the test and control groups (<0.05). Eighteen different metabolites were selected, among which six (N-acetylmethionine, L-methionine, L-lysine, DL-phenylalanine, L-tyrosine, and L-isoleucine) had receiver operating characteristic curve areas greater than 0.7 for diagnosing OSAHS. Among them, N-acetylmethionine had the largest area under the curve, which was 0.807, with a sensitivity of 70.83% and a specificity of 80.65%. Correlation analysis between different metabolites and clinical indicators showed that there were positive correlations between the degree of tonsil enlargement and enterolactone, between uric acid and phenylacetaldehyde, between blood glucose and acetylmethionine, and between cholesterol and 9-bromodiphenyl and procaine (<0.05). There were negative correlations between the degree of tonsil enlargement and N-methyltyramine, aspartate aminotransferase and indolepropionic acid and L-isoleucine, between alanine aminotransferase and DL-phenylalanine, between indolepropionic acid and L-isoleucine, between uric acid and hydroxyquinoline, and between urea nitrogen and N,N-dicyclohexylurea (<0.05). The metabolic functional pathways affected by differential metabolites mainly included riboflavin metabolism, arginine and proline metabolism, pantothenic acid and coenzyme A biosynthesis, cysteine and methionine metabolism, lysine degradation and glutathione metabolism.

Conclusions: Intestinal metabolites and metabolic functions are altered in children aged 4-6 years with OSAHS, primarily involving amino acid metabolism disorders. The screened differential intestinal metabolites have potential screening and diagnostic value as biomarkers for OSAHS.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11562065PMC
http://dx.doi.org/10.7499/j.issn.1008-8830.2309129DOI Listing

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