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Aboud O, Liu Y, Dahabiyeh L, Abuaisheh A, Li F, Aboubechara JP, Riess J, Bloch O, Hodeify R, Tagkopoulos I, Fiehn O. Profile Characterization of Biogenic Amines in Glioblastoma Patients Undergoing Standard-of-Care Treatment. Biomedicines 2023; 11:2261. [PMID: 37626757 PMCID: PMC10452138 DOI: 10.3390/biomedicines11082261] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 07/29/2023] [Accepted: 08/07/2023] [Indexed: 08/27/2023] Open
Abstract
INTRODUCTION Biogenic amines play important roles throughout cellular metabolism. This study explores a role of biogenic amines in glioblastoma pathogenesis. Here, we characterize the plasma levels of biogenic amines in glioblastoma patients undergoing standard-of-care treatment. METHODS We examined 138 plasma samples from 36 patients with isocitrate dehydrogenase (IDH) wild-type glioblastoma at multiple stages of treatment. Untargeted gas chromatography-time of flight mass spectrometry (GC-TOF MS) was used to measure metabolite levels. Machine learning approaches were then used to develop a predictive tool based on these datasets. RESULTS Surgery was associated with increased levels of 12 metabolites and decreased levels of 11 metabolites. Chemoradiation was associated with increased levels of three metabolites and decreased levels of three other metabolites. Ensemble learning models, specifically random forest (RF) and AdaBoost (AB), accurately classified treatment phases with high accuracy (RF: 0.81 ± 0.04, AB: 0.78 ± 0.05). The metabolites sorbitol and N-methylisoleucine were identified as important predictive features and confirmed via SHAP. CONCLUSION To our knowledge, this is the first study to describe plasma biogenic amine signatures throughout the treatment of patients with glioblastoma. A larger study is needed to confirm these results with hopes of developing a diagnostic algorithm.
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Affiliation(s)
- Orwa Aboud
- Department of Neurology, University of California, Davis, Sacramento, CA 95817, USA
- Department of Neurological Surgery, University of California, Davis, Sacramento, CA 95817, USA
- Comprehensive Cancer Center, University of California Davis, Sacramento, CA 95817, USA
| | - Yin Liu
- Department of Neurology, University of California, Davis, Sacramento, CA 95817, USA
- Department of Neurological Surgery, University of California, Davis, Sacramento, CA 95817, USA
- Department of Ophthalmology, University of California, Davis, Sacramento, CA 95817, USA
| | - Lina Dahabiyeh
- West Coast Metabolomics Center, University of California Davis, Davis, CA 95616, USA
- Department of Pharmaceutical Sciences, School of Pharmacy, The University of Jordan, Amman 11942, Jordan
| | - Ahmad Abuaisheh
- School of Medicine, Al Balqa Applied University, Al-Salt 19117, Jordan
| | - Fangzhou Li
- Department of Computer Science, University of California, Davis, Sacramento, CA 95616, USA
- Genome Center, University of California, Davis, Sacramento, CA 95616, USA
- USDA/NSF AI Institute for Next Generation Food Systems (AIFS), Davis, CA 95616, USA
| | | | - Jonathan Riess
- Comprehensive Cancer Center, University of California Davis, Sacramento, CA 95817, USA
- Department of Internal Medicine, Division of Hematology and Oncology, University of California, Davis, Sacramento, CA 95817, USA
| | - Orin Bloch
- Department of Neurological Surgery, University of California, Davis, Sacramento, CA 95817, USA
| | - Rawad Hodeify
- Department of Biotechnology, School of Arts and Sciences, American University of Ras Al Khaimah, Ras Al-Khaimah 10021, United Arab Emirates
| | - Ilias Tagkopoulos
- Department of Computer Science, University of California, Davis, Sacramento, CA 95616, USA
- Genome Center, University of California, Davis, Sacramento, CA 95616, USA
- USDA/NSF AI Institute for Next Generation Food Systems (AIFS), Davis, CA 95616, USA
| | - Oliver Fiehn
- West Coast Metabolomics Center, University of California Davis, Davis, CA 95616, USA
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