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Investigation of metabolic biomarkers: A metabolomics approach - 15/08/22

Doi : 10.1016/j.toxac.2022.06.071 
Yan Jinni 1, , Kuzhiumparambil Unnikrishnan 2, Bandodkar Sushil 3, Dale Russell 1, Solowij Nadia 4, Fu Shanlin 5
1 Kids neuroscience centre, faculty of medicine and health, Sydney children's hospitals network, Sydney, Australia 
2 School of life sciences, University of technology Sydney, Sydney, Australia 
3 Department of biochemistry, Sydney children's hospitals network, Sydney, Australia 
4 School of psychology, University of Wollongong, Sydney, Australia 
5 Centre for forensic science, University of technology Sydney, Sydney, Australia 

Corresponding author.

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Riassunto

Aim

Metabolomics is a powerful emerging approach increasingly used as a characteristic fingerprint in clinical sciences. Metabolites are crucial for cellular functions whereby biological disturbances can cause a series of metabolic changes in the body. Metabolomics entered the toxicology field over a decade ago, showing rapid growth in the comprehensive analysis of plasma, urine and tissue extracts. This study aims to investigate human metabolic signature(s) through an untargeted metabolomics cerebrospinal fluid (CSF) study and a targeted metabolomics urinary pilot study.

Method

An untargeted CSF metabolomics study investigated a cohort of fourteen patients with acute encephalitis and age-matched non-inflammatory neurological disease controls (n=14). Cerebrospinal fluid metabolites were analysed using liquid chromatography coupled to high resolution mass spectrometry followed by subsequent multivariate and univariate statistical methods. The targeted metabolomics study explored the urinary neurotransmitter levels using a fully validated “dilute-and-shoot” LC-MS/MS method. For this study twenty regular cannabis users were assigned to consume 200mg of medical graded cannabidiol capsules per day (Biosynthesis Pharma Group UK) for a period of ten weeks.

Results

The untargeted CSF profiling showed metabolic differences between the patient and control groups using supervised orthogonal partial least squares discriminant analysis and further analysis of variance and Fisher's least significant different post hoc analysis presented thirty-five metabolites were significantly involved. The tryptophan-kynurenine, nitric oxide and GABA-glutamate metabolism and neopterin were key pathways contributing to the statistical discrimination. The targeted cannabidiol pilot study showed significant change from baseline to post-treatment: increases were observed for glutamate (P<.0001) whilst gamma amino butyric acid (GABA) decreased (P<.001).

Conclusion

The clinical study demonstrated untargeted metabolomics is a powerful platform for the identification of biomarkers to improve early diagnosis. More importantly, the emergence of cerebrospinal fluid metabolomics holds promise incorporating clinical research experience into clinical translation practice. The administration of CBD in chronic cannabis users showed metabolic changes in urinary neurotransmitters. The pilot study showed promise that urine may be a useful and cost-effective alternative matrix for assessing the effectiveness of therapeutic intervention of brain damage caused by cannabis use.

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© 2022  Pubblicato da Elsevier Masson SAS.
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Vol 34 - N° 3S

P. S57 - Settembre 2022 Ritorno al numero
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