ArticleClinical proteomics2019
iTRAQ-based quantitative proteomic analysis provides insight for molecular mechanism of neuroticism.
Article in Clinical proteomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed, 15 citations in OpenAlex.
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- Peripheral serum iTRAQ-based proteomic characteristics of carbon tetrachloride-induced acute liver injury inToxicology reports · 2024Article
- Neuropathological signatures revealed by transcriptomic and proteomic analysis in Pten-deficient mouse models.Scientific reports · 2023Article
- Predictive value of proteomic markers for advanced rectal cancer with neoadjuvant chemoradiotherapy.BMC cancer · 2022Article
- A large-scale polygenic risk score analysis identified candidate proteins associated with anxiety, depression and neuroticism.Molecular brain · 2022Article
- Recognition of Key Genes in Human Anaplastic Thyroid Cancer via the Weighing Gene Coexpression Network.BioMed research international · 2022Article
- Prognostic Model of Eleven Genes Based on the Immune Microenvironment in Patients With Thymoma.Frontiers in genetics · 2022Article
- iTRAQ‑based quantitative proteomics analysis of the potential application of secretoneurin gene therapy for cardiac hypertrophy induced by DL‑isoproterenol hydrochloride in mice.International journal of molecular medicine · 2020Article
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Authors and funding
11 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundNeuroticism 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.
methodsIn 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.
resultsA 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.
conclusionsOur study revealed the characteristics of the neurotic personality proteome, which might be intrinsic mechanism of the neurotic population.
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