A preliminary nuclear magnetic resonance metabolomics study identifies metabolites that could serve as diagnostic markers of major depressive disorder

Background: The evaluation of metabolites that are directly involved in the physiological process, few steps short of phenotypical manifestation, remains vital for unravelling the biological moieties involved in the development of the (MDD) and in predicting its treatment outcome. Methodology: Eight...

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Main Authors: Mohammed Badamasi, Ibrahim, Maulidiani, Maulidiani, Munn, Sann Lye, Ibrahim, Normala, Shaari, Khozirah, Stanslas, Johnson
Format: Article
Published: Bentham Science Publishers 2022
Online Access:http://psasir.upm.edu.my/id/eprint/100334/
https://www.eurekaselect.com/article/116105
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spelling my.upm.eprints.1003342024-01-29T04:38:04Z http://psasir.upm.edu.my/id/eprint/100334/ A preliminary nuclear magnetic resonance metabolomics study identifies metabolites that could serve as diagnostic markers of major depressive disorder Mohammed Badamasi, Ibrahim Maulidiani, Maulidiani Munn, Sann Lye Ibrahim, Normala Shaari, Khozirah Stanslas, Johnson Background: The evaluation of metabolites that are directly involved in the physiological process, few steps short of phenotypical manifestation, remains vital for unravelling the biological moieties involved in the development of the (MDD) and in predicting its treatment outcome. Methodology: Eight (8) urine and serum samples each obtained from consenting healthy controls (HC), twenty-five (25) urine and serum samples each from first episode treatment naïve MDD (TNMDD) patients, and twenty (22) urine and serum samples each s from treatment naïve MDD patients 2 weeks after SSRI treatment (TWMDD) were analysed for metabolites using proton nuclear magnetic resonance (1HNMR) spectroscopy. The evaluation of patients’ samples was carried out using Partial Least Squares Discriminant Analysis (PLS-DA) and Orthogonal Partial Least Square- Discriminant Analysis (OPLSDA) models. Results: In the serum, decreased levels of lactate, glucose, glutamine, creatinine, acetate, valine, alanine, and fatty acid and an increased level of acetone and choline in TNMDD or TWMDD irrespective of whether an OPLSDA or PLSDA evaluation was used were identified. A test for statistical validations of these models was successful. Conclusion: Only some changes in serum metabolite levels between HC and TNMDD identified in this study have potential values in the diagnosis of MDD. These changes included decreased levels of lactate, glutamine, creatinine, valine, alanine, and fatty acid, as well as an increased level of acetone and choline in TNMDD. The diagnostic value of these changes in metabolites was maintained in samples from TWMDD patients, thus reaffirming the diagnostic nature of these metabolites for MDD. Bentham Science Publishers 2022-03-14 Article PeerReviewed Mohammed Badamasi, Ibrahim and Maulidiani, Maulidiani and Munn, Sann Lye and Ibrahim, Normala and Shaari, Khozirah and Stanslas, Johnson (2022) A preliminary nuclear magnetic resonance metabolomics study identifies metabolites that could serve as diagnostic markers of major depressive disorder. Current Neuropharmacology, 20 (5). 965 - 982. ISSN 1570-159X; ESSN: 1875-6190 https://www.eurekaselect.com/article/116105 10.2174/1570159X19666210611095320
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
description Background: The evaluation of metabolites that are directly involved in the physiological process, few steps short of phenotypical manifestation, remains vital for unravelling the biological moieties involved in the development of the (MDD) and in predicting its treatment outcome. Methodology: Eight (8) urine and serum samples each obtained from consenting healthy controls (HC), twenty-five (25) urine and serum samples each from first episode treatment naïve MDD (TNMDD) patients, and twenty (22) urine and serum samples each s from treatment naïve MDD patients 2 weeks after SSRI treatment (TWMDD) were analysed for metabolites using proton nuclear magnetic resonance (1HNMR) spectroscopy. The evaluation of patients’ samples was carried out using Partial Least Squares Discriminant Analysis (PLS-DA) and Orthogonal Partial Least Square- Discriminant Analysis (OPLSDA) models. Results: In the serum, decreased levels of lactate, glucose, glutamine, creatinine, acetate, valine, alanine, and fatty acid and an increased level of acetone and choline in TNMDD or TWMDD irrespective of whether an OPLSDA or PLSDA evaluation was used were identified. A test for statistical validations of these models was successful. Conclusion: Only some changes in serum metabolite levels between HC and TNMDD identified in this study have potential values in the diagnosis of MDD. These changes included decreased levels of lactate, glutamine, creatinine, valine, alanine, and fatty acid, as well as an increased level of acetone and choline in TNMDD. The diagnostic value of these changes in metabolites was maintained in samples from TWMDD patients, thus reaffirming the diagnostic nature of these metabolites for MDD.
format Article
author Mohammed Badamasi, Ibrahim
Maulidiani, Maulidiani
Munn, Sann Lye
Ibrahim, Normala
Shaari, Khozirah
Stanslas, Johnson
spellingShingle Mohammed Badamasi, Ibrahim
Maulidiani, Maulidiani
Munn, Sann Lye
Ibrahim, Normala
Shaari, Khozirah
Stanslas, Johnson
A preliminary nuclear magnetic resonance metabolomics study identifies metabolites that could serve as diagnostic markers of major depressive disorder
author_facet Mohammed Badamasi, Ibrahim
Maulidiani, Maulidiani
Munn, Sann Lye
Ibrahim, Normala
Shaari, Khozirah
Stanslas, Johnson
author_sort Mohammed Badamasi, Ibrahim
title A preliminary nuclear magnetic resonance metabolomics study identifies metabolites that could serve as diagnostic markers of major depressive disorder
title_short A preliminary nuclear magnetic resonance metabolomics study identifies metabolites that could serve as diagnostic markers of major depressive disorder
title_full A preliminary nuclear magnetic resonance metabolomics study identifies metabolites that could serve as diagnostic markers of major depressive disorder
title_fullStr A preliminary nuclear magnetic resonance metabolomics study identifies metabolites that could serve as diagnostic markers of major depressive disorder
title_full_unstemmed A preliminary nuclear magnetic resonance metabolomics study identifies metabolites that could serve as diagnostic markers of major depressive disorder
title_sort preliminary nuclear magnetic resonance metabolomics study identifies metabolites that could serve as diagnostic markers of major depressive disorder
publisher Bentham Science Publishers
publishDate 2022
url http://psasir.upm.edu.my/id/eprint/100334/
https://www.eurekaselect.com/article/116105
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