Cri Du Chat (CDC) syndrome is a rare genetic condition caused by the deletion of genetic material on the small arm (the p arm) of chromosome 5. A high-pitched cry that sounds like that of a cat, dysmorphic characteristics, and cytogenetic methods are often used for diagnosing the syndrome. In this study, we applied GC-MS analysis for determining organic acids in urine from 17 control volunteers without CDC syndrome, and from 16 individuals with the CDC syndrome in order to determine the profile of organic acids and biochemical pathways alterations resulting from this genetic condition. First, performing multivariate data analysis selected the best method for extracting organic acids with greater signal intensities and good reproducibility. After selection, multivariate (PLS-DA) and univariate (Mann-Whitney test) data analysis discriminated the metabolites responsible for separation between groups. Nine organic acid metabolites had values of VIP ≥ 1.0 and p-values ≤ 0.05, with highest intensities in the samples from CDC individuals, indicating the strongest discriminative power (tricarballylic acid, indoleacetic acid, anthranilic acid, 4-hydroxyphenylacetic acid, 4-hydroxybenzoic acid, 4-hydroxyhippuric acid, pantothenic acid, homovanillic acid, and vanillylmandelic acid). These metabolites are involved in several biochemical pathways like in the tyrosine and phenylalanine metabolism, as well as the tryptophan metabolism, which could be associated (i) to some neuropsychiatric alterations commonly observed in CDC individuals, (ii) to exogenous compounds related to transformation products by intestinal microbial, and (iii) to a possible deficiency in enzyme activity due to the syndrome.
Keywords: Chemometrics; Cri Du Chat; GC–MS; Metabolomics; Organic acids.
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