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Ait Tayeb AEK, Colle R, Chappell K, El-Asmar K, Acquaviva-Bourdain C, David DJ, Trabado S, Chanson P, Feve B, Becquemont L, Verstuyft C, Corruble E. Metabolomic profiles of 38 acylcarnitines in major depressive episodes before and after treatment. Psychol Med 2024; 54:289-298. [PMID: 37226550 DOI: 10.1017/s003329172300140x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/26/2023]
Abstract
BACKGROUND Major depression is associated with changes in plasma L-carnitine and acetyl-L-carnitine. But its association with acylcarnitines remains unclear. The aim of this study was to assess metabolomic profiles of 38 acylcarnitines in patients with major depression before and after treatment compared to healthy controls (HCs). METHODS Metabolomic profiles of 38 plasma short-, medium-, and long-chain acylcarnitines were performed by liquid chromatography-mass spectrometry in 893 HCs from the VARIETE cohort and 460 depressed patients from the METADAP cohort before and after 6 months of antidepressant treatment. RESULTS As compared to HCs, depressed patients had lower levels of medium- and long-chain acylcarnitines. After 6 months of treatment, increased levels of medium- and long-chain acyl-carnitines were observed that no longer differed from those of controls. Accordingly, several medium- and long-chain acylcarnitines were negatively correlated with depression severity. CONCLUSIONS These medium- and long-chain acylcarnitine dysregulations argue for mitochondrial dysfunction through fatty acid β-oxidation impairment during major depression.
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Affiliation(s)
- Abd El Kader Ait Tayeb
- CESP, MOODS Team, INSERM UMR 1018, Faculté de Médecine, Univ Paris-Saclay, Le Kremlin Bicêtre, Paris, F-94275, France
- Service Hospitalo-Universitaire de Psychiatrie de Bicêtre, Hôpitaux Universitaires Paris-Saclay, Assistance Publique-Hôpitaux de Paris, Hôpital de Bicêtre, Le Kremlin Bicêtre, Paris, F-94275, France
| | - Romain Colle
- CESP, MOODS Team, INSERM UMR 1018, Faculté de Médecine, Univ Paris-Saclay, Le Kremlin Bicêtre, Paris, F-94275, France
- Service Hospitalo-Universitaire de Psychiatrie de Bicêtre, Hôpitaux Universitaires Paris-Saclay, Assistance Publique-Hôpitaux de Paris, Hôpital de Bicêtre, Le Kremlin Bicêtre, Paris, F-94275, France
| | - Kenneth Chappell
- CESP, MOODS Team, INSERM UMR 1018, Faculté de Médecine, Univ Paris-Saclay, Le Kremlin Bicêtre, Paris, F-94275, France
| | - Khalil El-Asmar
- CESP, MOODS Team, INSERM UMR 1018, Faculté de Médecine, Univ Paris-Saclay, Le Kremlin Bicêtre, Paris, F-94275, France
- Department of Epidemiology and Population Health, Faculty of Health Sciences, American University of Beirut, Beirut, Lebanon
| | - Cécile Acquaviva-Bourdain
- Service de Biochimie et Biologie Moléculaire; Unité Médicale Pathologies Héréditaires du Métabolisme et du Globule Rouge; Centre de Biologie et Pathologie Est; CHU de Lyon; F-69500 Bron, France
| | - Denis J David
- CESP, MOODS Team, INSERM UMR 1018, Faculté de Médecine, Univ Paris-Saclay, Le Kremlin Bicêtre, Paris, F-94275, France
| | - Séverine Trabado
- INSERM UMR-S U1185, Physiologie et Physiopathologie Endocriniennes, Faculté de Médecine, Univ Paris-Saclay, Le Kremlin Bicêtre, Paris, F-94275, France
- Service de Génétique Moléculaire, Pharmacogénétique et Hormonologie de Bicêtre, Hôpitaux Universitaires Paris-Saclay, Assistance Publique-Hôpitaux de Paris, Hôpital de Bicêtre, Le Kremlin Bicêtre, F-94275, France
| | - Philippe Chanson
- INSERM UMR-S U1185, Physiologie et Physiopathologie Endocriniennes, Faculté de Médecine, Univ Paris-Saclay, Le Kremlin Bicêtre, Paris, F-94275, France
- Université Paris-Saclay, Assistance Publique-Hôpitaux de Paris, Hôpital Bicêtre, Service d'Endocrinologie et des Maladies de la Reproduction, Centre de Référence des Maladies Rares de l'Hypophyse, Hôpital de Bicêtre, Le Kremlin Bicêtre, F-94275, France
| | - Bruno Feve
- Sorbonne Université-INSERM, Centre de Recherche Saint-Antoine, Institut Hospitalo-Universitaire ICAN, Service d'Endocrinologie, CRMR PRISIS, Hôpital Saint-Antoine, Assistance Publique-Hôpitaux de Paris, Paris, F-75012, France
| | - Laurent Becquemont
- CESP, MOODS Team, INSERM UMR 1018, Faculté de Médecine, Univ Paris-Saclay, Le Kremlin Bicêtre, Paris, F-94275, France
- Centre de recherche clinique, Hôpitaux Universitaires Paris-Saclay, Assistance Publique-Hôpitaux de Paris, Hôpital de Bicêtre, Le Kremlin Bicêtre, Paris, F-94275, France
| | - Céline Verstuyft
- CESP, MOODS Team, INSERM UMR 1018, Faculté de Médecine, Univ Paris-Saclay, Le Kremlin Bicêtre, Paris, F-94275, France
- Service de Génétique Moléculaire, Pharmacogénétique et Hormonologie de Bicêtre, Hôpitaux Universitaires Paris-Saclay, Assistance Publique-Hôpitaux de Paris, Hôpital de Bicêtre, Le Kremlin Bicêtre, F-94275, France
| | - Emmanuelle Corruble
- CESP, MOODS Team, INSERM UMR 1018, Faculté de Médecine, Univ Paris-Saclay, Le Kremlin Bicêtre, Paris, F-94275, France
- Service Hospitalo-Universitaire de Psychiatrie de Bicêtre, Hôpitaux Universitaires Paris-Saclay, Assistance Publique-Hôpitaux de Paris, Hôpital de Bicêtre, Le Kremlin Bicêtre, Paris, F-94275, France
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Jentsch M, der Strate BV, Meddens M, Meddens M, Schoevers R. Assessment of biomarker stability and assay performance parameters for medical diagnosis: a case study of diagnosis of major depressive disorder. Biomark Med 2024; 18:59-68. [PMID: 38305225 DOI: 10.2217/bmm-2023-0416] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2024] Open
Abstract
Aim: Assessing the stability profiles and assay performance of 24 biomarker assays in 32 biomarker/body fluid combinations identified as relevant for prediction of major depressive disorder. Materials & methods: Combinations were tested for stability and assay performance with ELISA at different storage and freeze-thaw conditions in pooled samples of 40 patients. Results: Stability and assay performance issues were found in almost all cases except three biomarkers in urine and three in serum. Conclusion: This study shows that, to produce reliable measurement data, assessments of stability and assay performance are essential. In development, other quality assurance parameters might be implemented to increase the level of measurement reliability by increasing assay performance control.
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Affiliation(s)
- Mike Jentsch
- Brainscan BV, Zutphenseweg 55 7418 AH Deventer, Netherlands
- University of Groningen, University Medical Center Groningen, Department of Psychiatry, Hanzeplein 1 9700 RB Groningen, Netherlands
| | - Barry van der Strate
- University Medical Center Groningen, Research Office, Hanzeplein 1 9700 RB Groningen, Netherlands
| | - Marjolein Meddens
- Department of Radiology & Nuclear Medicine, University Medical Center Utrecht, Heidelberglaan 100 3584 CX Utrecht, Netherlands
| | - Marcus Meddens
- Brainscan BV, Zutphenseweg 55 7418 AH Deventer, Netherlands
| | - Robert Schoevers
- University of Groningen, University Medical Center Groningen, Department of Psychiatry, Hanzeplein 1 9700 RB Groningen, Netherlands
- Research School of Behavioral & Cognitive Neurosciences, University of Groningen, Ant. Deusinglaan 1, 9713 AV Groningen, Netherlands
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Liu M, Ma W, He Y, Sun Z, Yang J. Recent Progress in Mass Spectrometry-Based Metabolomics in Major Depressive Disorder Research. Molecules 2023; 28:7430. [PMID: 37959849 PMCID: PMC10647556 DOI: 10.3390/molecules28217430] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 10/24/2023] [Accepted: 11/02/2023] [Indexed: 11/15/2023] Open
Abstract
Major depressive disorder (MDD) is a serious mental illness with a heavy social burden, but its underlying molecular mechanisms remain unclear. Mass spectrometry (MS)-based metabolomics is providing new insights into the heterogeneous pathophysiology, diagnosis, treatment, and prognosis of MDD by revealing multi-parametric biomarker signatures at the metabolite level. In this comprehensive review, recent developments of MS-based metabolomics in MDD research are summarized from the perspective of analytical platforms (liquid chromatography-MS, gas chromatography-MS, supercritical fluid chromatography-MS, etc.), strategies (untargeted, targeted, and pseudotargeted metabolomics), key metabolite changes (monoamine neurotransmitters, amino acids, lipids, etc.), and antidepressant treatments (both western and traditional Chinese medicines). Depression sub-phenotypes, comorbid depression, and multi-omics approaches are also highlighted to stimulate further advances in MS-based metabolomics in the field of MDD research.
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Affiliation(s)
- Mingxia Liu
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China; (M.L.)
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100069, China
| | - Wen Ma
- State Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, Beijing 100191, China
| | - Yi He
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China; (M.L.)
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100069, China
| | - Zuoli Sun
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China; (M.L.)
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100069, China
| | - Jian Yang
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China; (M.L.)
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100069, China
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