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Metabolomic biomarkers related to non-suicidal self-injury in patients with bipolar disorder
BACKGROUND: Non-suicidal self-injury (NSSI) is an important symptom of bipolar disorder (BD) and other mental disorders and has attracted the attention of researchers lately. It is of great significance to study the characteristic markers of NSSI. Metabolomics is a relatively new field that can prov...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9306041/ https://www.ncbi.nlm.nih.gov/pubmed/35869468 http://dx.doi.org/10.1186/s12888-022-04079-8 |
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author | Guo, Xiangjie Jia, Jiao Zhang, Zhiyong Miao, Yuting Wu, Peng Bai, Yaqin Ren, Yan |
author_facet | Guo, Xiangjie Jia, Jiao Zhang, Zhiyong Miao, Yuting Wu, Peng Bai, Yaqin Ren, Yan |
author_sort | Guo, Xiangjie |
collection | PubMed |
description | BACKGROUND: Non-suicidal self-injury (NSSI) is an important symptom of bipolar disorder (BD) and other mental disorders and has attracted the attention of researchers lately. It is of great significance to study the characteristic markers of NSSI. Metabolomics is a relatively new field that can provide complementary insights into data obtained from genomic, transcriptomic, and proteomic analyses of psychiatric disorders. The aim of this study was to identify the metabolic pathways associated with BD with NSSI and assess important diagnostic and predictive indices of NSSI in BD. METHOD: Nuclear magnetic resonance spectrometry was performed to evaluate the serum metabolic profiles of patients with BD with NSSI (n = 31), patients with BD without NSSI (n = 46), and healthy controls (n = 10). Data were analyzed using an Orthogonal Partial Least Square Discriminant Analysis and a t-test. Differential metabolites were identified (VIP > 1 and p < 0.05), and further analyzed using Metabo Analyst 3.0 to identify associated metabolic pathways. RESULTS: Eight metabolites in the serum and two important metabolic pathways, the urea and glutamate metabolism cycles, were found to distinguish patients with BD with NSSI from healthy controls. Eight metabolites in the serum, glycine and serine metabolism pathway, and the glucose-alanine cycle were found to distinguish patients with BD without NSSI from healthy controls. Five metabolites in the serum and the purine metabolism pathway were found to distinguish patients with BD with NSSI from those with BD without NSSI. CONCLUSIONS: Abnormalities in the urea cycle, glutamate metabolism, and purine metabolism played important roles in the pathogenesis of BD with NSSI. |
format | Online Article Text |
id | pubmed-9306041 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-93060412022-07-23 Metabolomic biomarkers related to non-suicidal self-injury in patients with bipolar disorder Guo, Xiangjie Jia, Jiao Zhang, Zhiyong Miao, Yuting Wu, Peng Bai, Yaqin Ren, Yan BMC Psychiatry Research BACKGROUND: Non-suicidal self-injury (NSSI) is an important symptom of bipolar disorder (BD) and other mental disorders and has attracted the attention of researchers lately. It is of great significance to study the characteristic markers of NSSI. Metabolomics is a relatively new field that can provide complementary insights into data obtained from genomic, transcriptomic, and proteomic analyses of psychiatric disorders. The aim of this study was to identify the metabolic pathways associated with BD with NSSI and assess important diagnostic and predictive indices of NSSI in BD. METHOD: Nuclear magnetic resonance spectrometry was performed to evaluate the serum metabolic profiles of patients with BD with NSSI (n = 31), patients with BD without NSSI (n = 46), and healthy controls (n = 10). Data were analyzed using an Orthogonal Partial Least Square Discriminant Analysis and a t-test. Differential metabolites were identified (VIP > 1 and p < 0.05), and further analyzed using Metabo Analyst 3.0 to identify associated metabolic pathways. RESULTS: Eight metabolites in the serum and two important metabolic pathways, the urea and glutamate metabolism cycles, were found to distinguish patients with BD with NSSI from healthy controls. Eight metabolites in the serum, glycine and serine metabolism pathway, and the glucose-alanine cycle were found to distinguish patients with BD without NSSI from healthy controls. Five metabolites in the serum and the purine metabolism pathway were found to distinguish patients with BD with NSSI from those with BD without NSSI. CONCLUSIONS: Abnormalities in the urea cycle, glutamate metabolism, and purine metabolism played important roles in the pathogenesis of BD with NSSI. BioMed Central 2022-07-22 /pmc/articles/PMC9306041/ /pubmed/35869468 http://dx.doi.org/10.1186/s12888-022-04079-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Guo, Xiangjie Jia, Jiao Zhang, Zhiyong Miao, Yuting Wu, Peng Bai, Yaqin Ren, Yan Metabolomic biomarkers related to non-suicidal self-injury in patients with bipolar disorder |
title | Metabolomic biomarkers related to non-suicidal self-injury in patients with bipolar disorder |
title_full | Metabolomic biomarkers related to non-suicidal self-injury in patients with bipolar disorder |
title_fullStr | Metabolomic biomarkers related to non-suicidal self-injury in patients with bipolar disorder |
title_full_unstemmed | Metabolomic biomarkers related to non-suicidal self-injury in patients with bipolar disorder |
title_short | Metabolomic biomarkers related to non-suicidal self-injury in patients with bipolar disorder |
title_sort | metabolomic biomarkers related to non-suicidal self-injury in patients with bipolar disorder |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9306041/ https://www.ncbi.nlm.nih.gov/pubmed/35869468 http://dx.doi.org/10.1186/s12888-022-04079-8 |
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