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. 2025 Apr:114:105664.
doi: 10.1016/j.ebiom.2025.105664. Epub 2025 Mar 25.

Cerebrospinal fluid metabolomics in autistic regression reveals dysregulation of sphingolipids and decreased β-hydroxybutyrate

Affiliations

Cerebrospinal fluid metabolomics in autistic regression reveals dysregulation of sphingolipids and decreased β-hydroxybutyrate

Jingya Yan et al. EBioMedicine. 2025 Apr.

Abstract

Background: Autism is highly heritable, however actionable genetic findings are only found in a minority of patients. Many people with autism suffer loss of neurodevelopmental skills, known as autistic regression. The cause of regression is poorly understood, and the diagnostic and therapeutic pathways are lacking.

Methods: We used untargeted metabolomics using a UPLC-Q-Exactive-HFx Mass Spectrometry to examine cerebrospinal fluid (CSF) from twenty-two patients with autistic regression compared to sixteen controls with neurodevelopmental disorders (but not autistic regression) and thirty-four controls with other neurological disease (headache, encephalitis, epilepsy). The twenty-two patients with autistic regression consisted of two groups: early (infantile) autistic regression <2 years of age (n = 8), and later regression of skills >4 years of age, often in the context of pre-existing developmental concerns (n = 14). Metabolites of interest were then quantified and validated using targeted assays.

Findings: Untargeted case-control studies revealed good separation of patients from controls using multivariate analysis. β-hydroxybutyrate was significantly decreased in the CSF of patients with autistic regression, and the findings were validated using a targeted β-hydroxybutyrate assay. The sphingolipid, sphingosine-1-phosphate was significantly elevated in the discovery case-control studies, and sphingolipid metabolism pathways were also significantly dysregulated. We therefore developed a targeted metabolite assay of forty sphingolipids. After FDR correction, 21 of the 40 sphingolipids were significantly dysregulated (pFDR < 0.05) (Benjamini-Hochberg correction) in autistic regression compared to the neurodevelopmental controls, and 26 of the 40 sphingolipids were significantly dysregulated in autistic regression compared to other neurological controls, with elevated ceramides, hexosylceramides, sphingosines (including sphingosine-1-phosphate), and sulfatides. By contrast, sphingomyelin levels were generally decreased in autistic regression.

Interpretation: Our data shows the potential utility of CSF metabolomics in the context of autistic regression, a clinical syndrome which has historically lacked pathophysiological biomarkers and disease modifying therapies.

Funding: Financial support for the study was granted by Dale NHMRC Investigator grant APP1193648, Petre Foundation, Cerebral Palsy Alliance, and Ainsworth and SCHF Neuroscience grant scheme.

Keywords: Inflammation; Lipidomics; Metabolomics; Neurodevelopmental disorders.

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Conflict of interest statement

Declaration of interests The authors have declared that no conflict of interest exists.

Figures

Fig. 1
Fig. 1
Summary of statistical analyses of cerebrospinal fluid cohort studies, cohort 1 (left) and cohort 2 (right) using ultra-performance liquid chromatography coupled to high resolution mass spectrometry. (a) Partial least squares discriminant analysis score plots of patients with autistic regression (red dots), control patients (green dots) and quality control samples (blue dots) showing clustering of the respective groups. (b) Pathway analysis of statistically significant metabolites after FDR correction and a power analysis: sphingolipid metabolism is significantly dysregulated in both cohort 1 and 2. (c) Elevation of sphingosine-1-phosphate in the autistic regression group compared to controls showing p = 0.0097 (cohort 1; AUTREG, n = 11; Controls, n = 11) and p = 0.0083 (cohort 2; AUTREG, n = 11; Controls, n = 11) (ANOVA and Fisher’s LSD FDR-adjusted). The response ratio is the ratio of peak area of metabolite: internal standard peak area.
Fig. 2
Fig. 2
β-hydroxybutyrate data. (a) Untargeted metabolomics of patients with autistic regression (AUTREG, n = 11) are compared with controls (n = 11) showing β-hydroxybutyrate is reduced in the autistic regression group compared to controls (p = 0.0004) (ANOVA and Fisher’s LSD FDR-adjusted). The response ratio is the ratio of peak area of metabolite: internal standard peak area. (b) Validation of untargeted metabolomics study through quantification of β-hydroxybutyrate using a single analyte LiquiColor assay showing decreased β-hydroxybutyrate in patents with autistic regression (AUTREG, n = 17) and controls (n = 12) (p = 0.03) (Mann Whitney U test). (c) β-hydroxybutyrate pathway. HMGCS, 3-hydroxy-3-methylglutaryl-CoA synthase; HMGCL, 3-hydroxy-3-methylglutaryl-CoA lyase; BDH1, β-hydroxybutyrate dehydrogenase; HMG-CoA, 3-hydroxy-beta-methylglutaryl-CoA.
Fig. 3
Fig. 3
Targeted sphingolipids. (a) Targeted sphingolipids data of autistic regression group (AUTREG) compared to neurodevelopmental control group (NEURODEV CONT.) and ‘other neurological disorder’ control (OTHER NEURO CONT.) group (see Table 1). Representative statistically significant sphingolipids which are elevated in autistic regression are presented, including ceramides (Cer), hexosylceramides (HexCer), sulfatides (ST) and sphingosine 1 phosphate (S1P) (all < 0.05 according to Benjamini-Hochberg correction FDR-adjusted, see Supplemental Table S3 for values). By contrast, the sphingomyelin (SM) metabolites were generally decreased in autistic regression. (b) FDR adjusted p values of autistic regression (AUTREG) compared to other neurodevelopmental (NDD) controls and compared to ‘other neurological disorder controls are presented for all forty sphingolipids, with elevated values in red and decreased values in blue. Most sphingolipids were elevated in autistic regression, apart from sphingomyelin metabolites which were often decreased (full values in Supplemental Table S3) (c) Pathways of sphingolipid metabolism. SPL, SIP lyase; SK, sphingosine kinase; CDase, ceramidase; CerS, ceramide synthase; DES, dihydroceramide desaturase; HexCerase, hexosylceramidase; HexCerS, hexosylceramides synthase; HSase, hexosaminidase; CK, ceramide kinase; C1PP, ceramide-1-phosphate phosphatase; SMS, sphingomyelin synthase; SMase, sphingomyelinase.

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