Cargando…
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...
Autores principales: | , , , , , , , , , , |
---|---|
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 |
_version_ | 1783467364071768064 |
---|---|
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. |
format | Online Article Text |
id | pubmed-6839193 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT tianlei itraqbasedquantitativeproteomicanalysisprovidesinsightformolecularmechanismofneuroticism AT youhongzhao itraqbasedquantitativeproteomicanalysisprovidesinsightformolecularmechanismofneuroticism AT wuhao itraqbasedquantitativeproteomicanalysisprovidesinsightformolecularmechanismofneuroticism AT weiyu itraqbasedquantitativeproteomicanalysisprovidesinsightformolecularmechanismofneuroticism AT zhengmin itraqbasedquantitativeproteomicanalysisprovidesinsightformolecularmechanismofneuroticism AT helei itraqbasedquantitativeproteomicanalysisprovidesinsightformolecularmechanismofneuroticism AT liujinying itraqbasedquantitativeproteomicanalysisprovidesinsightformolecularmechanismofneuroticism AT guoshuzhen itraqbasedquantitativeproteomicanalysisprovidesinsightformolecularmechanismofneuroticism AT zhaoyan itraqbasedquantitativeproteomicanalysisprovidesinsightformolecularmechanismofneuroticism AT zhourenlai itraqbasedquantitativeproteomicanalysisprovidesinsightformolecularmechanismofneuroticism AT huxingang itraqbasedquantitativeproteomicanalysisprovidesinsightformolecularmechanismofneuroticism |