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iTRAQ-based quantitative proteomic analysis provides insight for molecular mechanism of neuroticism

BACKGROUND: Neuroticism is a core personality trait and a major risk factor for several mental and physical diseases, particularly in females, who score higher on neuroticism than men, on average. However, a better understanding of the expression profiles of proteins in the circulating blood of diff...

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Autores principales: Tian, Lei, You, Hong-Zhao, Wu, Hao, Wei, Yu, Zheng, Min, He, Lei, Liu, Jin-Ying, Guo, Shu-Zhen, Zhao, Yan, Zhou, Ren-Lai, Hu, Xingang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6839193/
https://www.ncbi.nlm.nih.gov/pubmed/31719821
http://dx.doi.org/10.1186/s12014-019-9259-8
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author Tian, Lei
You, Hong-Zhao
Wu, Hao
Wei, Yu
Zheng, Min
He, Lei
Liu, Jin-Ying
Guo, Shu-Zhen
Zhao, Yan
Zhou, Ren-Lai
Hu, Xingang
author_facet Tian, Lei
You, Hong-Zhao
Wu, Hao
Wei, Yu
Zheng, Min
He, Lei
Liu, Jin-Ying
Guo, Shu-Zhen
Zhao, Yan
Zhou, Ren-Lai
Hu, Xingang
author_sort Tian, Lei
collection PubMed
description BACKGROUND: Neuroticism is a core personality trait and a major risk factor for several mental and physical diseases, particularly in females, who score higher on neuroticism than men, on average. However, a better understanding of the expression profiles of proteins in the circulating blood of different neurotic female populations may help elucidate the intrinsic mechanism of neurotic personality and aid prevention strategies on mental and physical diseases associated with neuroticism. METHODS: In our study, female subjects were screened for inclusion by the Eysenck Personality Questionnaire (EPQ), Beck Depression Inventory (BDI), Beck Anxiety Inventory (BAI) scales and routine physical examination. Subjects who passed the examination and volunteered to participate were grouped by neuroticism using EPQ scores (0 and 1 = low neuroticism group; > 5 = high neuroticism group). Proteins in serum samples of the two neuroticism groups were identified using isobaric tags for relative and absolute quantification (iTRAQ) technology. RESULTS: A total of 410 proteins exhibited significant differences between high and low neuroticism, 236 proteins were significantly upregulated and 174 proteins were significantly downregulated. Combine the results of GO and KEGG enrichment analysis of differences proteins between high and low neuroticism with the PPI network, it could be observed that the Alpha-synuclein (SNCA), ATP7A protein (ATP7A), Guanine nucleotide-binding protein G(I)/G(S)/G(O) subunit gamma-2 (GNG2), cyclin-dependent kinase 6 (CDK6), myeloperoxidase (MPO), azurocidin (AZU1), Histone H2B type 1-H (HIST1H2BH), Integrin alpha-M (ITGAM) and Matrix metalloproteinase-9 (MMP9) might participate in the intrinsic mechanism of neuroticism by regulating response to catecholamine stimulus, catecholamine metabolic process, limbic system development and transcriptional misregulation in cancer pathway. CONCLUSIONS: Our study revealed the characteristics of the neurotic personality proteome, which might be intrinsic mechanism of the neurotic population.
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spelling pubmed-68391932019-11-12 iTRAQ-based quantitative proteomic analysis provides insight for molecular mechanism of neuroticism Tian, Lei You, Hong-Zhao Wu, Hao Wei, Yu Zheng, Min He, Lei Liu, Jin-Ying Guo, Shu-Zhen Zhao, Yan Zhou, Ren-Lai Hu, Xingang Clin Proteomics Research BACKGROUND: Neuroticism is a core personality trait and a major risk factor for several mental and physical diseases, particularly in females, who score higher on neuroticism than men, on average. However, a better understanding of the expression profiles of proteins in the circulating blood of different neurotic female populations may help elucidate the intrinsic mechanism of neurotic personality and aid prevention strategies on mental and physical diseases associated with neuroticism. METHODS: In our study, female subjects were screened for inclusion by the Eysenck Personality Questionnaire (EPQ), Beck Depression Inventory (BDI), Beck Anxiety Inventory (BAI) scales and routine physical examination. Subjects who passed the examination and volunteered to participate were grouped by neuroticism using EPQ scores (0 and 1 = low neuroticism group; > 5 = high neuroticism group). Proteins in serum samples of the two neuroticism groups were identified using isobaric tags for relative and absolute quantification (iTRAQ) technology. RESULTS: A total of 410 proteins exhibited significant differences between high and low neuroticism, 236 proteins were significantly upregulated and 174 proteins were significantly downregulated. Combine the results of GO and KEGG enrichment analysis of differences proteins between high and low neuroticism with the PPI network, it could be observed that the Alpha-synuclein (SNCA), ATP7A protein (ATP7A), Guanine nucleotide-binding protein G(I)/G(S)/G(O) subunit gamma-2 (GNG2), cyclin-dependent kinase 6 (CDK6), myeloperoxidase (MPO), azurocidin (AZU1), Histone H2B type 1-H (HIST1H2BH), Integrin alpha-M (ITGAM) and Matrix metalloproteinase-9 (MMP9) might participate in the intrinsic mechanism of neuroticism by regulating response to catecholamine stimulus, catecholamine metabolic process, limbic system development and transcriptional misregulation in cancer pathway. CONCLUSIONS: Our study revealed the characteristics of the neurotic personality proteome, which might be intrinsic mechanism of the neurotic population. BioMed Central 2019-11-08 /pmc/articles/PMC6839193/ /pubmed/31719821 http://dx.doi.org/10.1186/s12014-019-9259-8 Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Tian, Lei
You, Hong-Zhao
Wu, Hao
Wei, Yu
Zheng, Min
He, Lei
Liu, Jin-Ying
Guo, Shu-Zhen
Zhao, Yan
Zhou, Ren-Lai
Hu, Xingang
iTRAQ-based quantitative proteomic analysis provides insight for molecular mechanism of neuroticism
title iTRAQ-based quantitative proteomic analysis provides insight for molecular mechanism of neuroticism
title_full iTRAQ-based quantitative proteomic analysis provides insight for molecular mechanism of neuroticism
title_fullStr iTRAQ-based quantitative proteomic analysis provides insight for molecular mechanism of neuroticism
title_full_unstemmed iTRAQ-based quantitative proteomic analysis provides insight for molecular mechanism of neuroticism
title_short iTRAQ-based quantitative proteomic analysis provides insight for molecular mechanism of neuroticism
title_sort itraq-based quantitative proteomic analysis provides insight for molecular mechanism of neuroticism
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6839193/
https://www.ncbi.nlm.nih.gov/pubmed/31719821
http://dx.doi.org/10.1186/s12014-019-9259-8
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