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Metabolites
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Metabolomics in the Study of Psychiatric/Neurodegenerative Disorders
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Metabolomics in the Study of Psychiatric/Neurodegenerative Disorders

A special issue of Metabolites (ISSN 2218-1989). This special issue belongs to the section "Advances in Metabolomics".

Deadline for manuscript submissions: closed (15 March 2023) | Viewed by 6041

Special Issue Editor

Dr. Alessandra Sussulini

E-Mail Website
Guest Editor
Departamento de Química Analítica, Instituto de Química, Universidade Estadual de Campinas (Unicamp), Campinas, Brazil
Interests: mass spectrometry; bioanalytical chemistry; clinical metabolomics; lipidomics; neuropsychiatric disorders; multi-omics

Special Issue Information

Dear Colleagues,

Since the molecular bases of most psychiatric and neurodegenerative disorders are still not completely elucidated, studies aiming to identify the metabolic pathways that are altered in the presence of these diseases have become essential in neurosciences. Another relevant question is regarding the current available treatments for these diseases, which are not effective for all patients, or which present several side effects. In this context, metabolomics arises as a powerful analytical tool to unravel the molecular bases of neuropsychiatric diseases and thus indicate potential targets for the development of novel or alternative treatments that can improve the quality of life of the patients. Therefore, this Special Issue focuses on the applications of metabolomics to the study of psychiatric/neurodegenerative diseases, including the evaluation of their treatments, biomarker discovery, as well as data integration with other -omic sciences.

Dr. Alessandra Sussulini
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Metabolites is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • metabolomics
  • psychiatric disorders
  • neurodegenerative disorders
  • biomarkers
  • alternative treatments
  • multi-omics

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Published Papers (2 papers)

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Research

12 pages, 445 KiB  
Article
Hair-Based Assessment of Sex Steroid Hormones in Patients with Anorexia Nervosa
by Victoria-Luise Batury, Friederike I. Tam, Inger Hellerhoff, Marie-Louis Wronski, Katrin Borucki, Kerstin Weidner, Veit Roessner, Wei Gao and Stefan Ehrlich
Metabolites 2023, 13(1), 21; https://doi.org/10.3390/metabo13010021 - 22 Dec 2022
Cited by 1 | Viewed by 2083
Abstract
Anorexia nervosa (AN) is a complex psychiatric disorder accompanied by a variety of endocrine effects. Altered levels of the sex steroid hormones progesterone and dehydroepiandrosterone (DHEA) have been shown to occur in patients with AN using short-term hormonal measurement methods based on blood, [...] Read more.
Anorexia nervosa (AN) is a complex psychiatric disorder accompanied by a variety of endocrine effects. Altered levels of the sex steroid hormones progesterone and dehydroepiandrosterone (DHEA) have been shown to occur in patients with AN using short-term hormonal measurement methods based on blood, saliva, and urine samples. However, since sex steroid hormone levels fluctuate during the menstrual cycle, these measurement methods require a great deal of effort due to the need to collect multiple samples in order to correctly determine the basal level of sex hormones. In contrast, hair-based assessments provide a marker of accumulated longer-term hormone exposure using a single, non-invasive sample. The aim of this study was to investigate sex steroid hormone levels via hair-based assessments in acutely underweight AN in comparison with healthy, age-matched, female control participants. Additionally, we compared progesterone and DHEA hair levels longitudinally during inpatient treatment in AN. Collected hair samples were analyzed using liquid chromatography-mass spectrometry (LC-MS/MS) to determine a monthly hormone level of progesterone and DHEA. Our results indicate that DHEA hair hormone levels were similar across groups but progesterone was suppressed in underweight AN compared with healthy controls. In the longitudinal design, no significant change in hair hormone levels during partial weight restoration in patients with AN was observed. Our findings suggest that hair analysis can be used to detect suppressed progesterone levels in severe AN, and that progesterone does not increase during short-term weight restoration. Full article
(This article belongs to the Special Issue Metabolomics in the Study of Psychiatric/Neurodegenerative Disorders)
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16 pages, 2761 KiB  
Article
NMR Metabolomics in Serum Fingerprinting of Schizophrenia Patients in a Serbian Cohort
by Katarina Simić, Nina Todorović, Snežana Trifunović, Zoran Miladinović, Aleksandra Gavrilović, Silvana Jovanović, Nataša Avramović, Dejan Gođevac, Ljubodrag Vujisić, Vele Tešević, Ljubica Tasić and Boris Mandić
Metabolites 2022, 12(8), 707; https://doi.org/10.3390/metabo12080707 - 29 Jul 2022
Cited by 11 | Viewed by 2994
Abstract
Schizophrenia is a widespread mental disorder that leads to significant functional impairments and premature death. The state of the art indicates gaps in the understanding and diagnosis of this disease, but also the need for personalized and precise approaches to patients through customized [...] Read more.
Schizophrenia is a widespread mental disorder that leads to significant functional impairments and premature death. The state of the art indicates gaps in the understanding and diagnosis of this disease, but also the need for personalized and precise approaches to patients through customized medical treatment and reliable monitoring of treatment response. In order to fulfill existing gaps, the establishment of a universal set of disorder biomarkers is a necessary step. Metabolomic investigations of serum samples of Serbian patients with schizophrenia (51) and healthy controls (39), based on NMR analyses associated with chemometrics, led to the identification of 26 metabolites/biomarkers for this disorder. Principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA) models with prediction accuracies of 0.9718 and higher were accomplished during chemometric analysis. The established biomarker set includes aspartate/aspartic acid, lysine, 2-hydroxybutyric acid, and acylglycerols, which are identified for the first time in schizophrenia serum samples by NMR experiments. The other 22 identified metabolites in the Serbian samples are in accordance with the previously established NMR-based serum biomarker sets of Brazilian and/or Chinese patient samples. Thirteen metabolites (lactate/lactic acid, threonine, leucine, isoleucine, valine, glutamine, asparagine, alanine, gamma-aminobutyric acid, choline, glucose, glycine and tyrosine) that are common for three different ethnic and geographic origins (Serbia, Brazil and China) could be a good start point for the setup of a universal NMR serum biomarker set for schizophrenia. Full article
(This article belongs to the Special Issue Metabolomics in the Study of Psychiatric/Neurodegenerative Disorders)
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