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Relationship between depression and inflammatory factors and brain-derived neurotrophic factor in patients with perimenopause syndrome
The relationship of depression with levels of serum inflammatory factors and brain-derived neurotrophic factor (BDNF) in patients with perimenopausal syndrome was analyzed to investigate the predictive values of risk factors for depression in patients with perimenopausal syndrome. A total of 73 pati...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5962862/ https://www.ncbi.nlm.nih.gov/pubmed/29849779 http://dx.doi.org/10.3892/etm.2018.5985 |
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author | Guo, Li Ren, Lidong Zhang, Caixia |
author_facet | Guo, Li Ren, Lidong Zhang, Caixia |
author_sort | Guo, Li |
collection | PubMed |
description | The relationship of depression with levels of serum inflammatory factors and brain-derived neurotrophic factor (BDNF) in patients with perimenopausal syndrome was analyzed to investigate the predictive values of risk factors for depression in patients with perimenopausal syndrome. A total of 73 patients with perimenopausal syndrome were selected, and divided into the depression (n=30) and non-depression (n=43) groups. Results showed that the self-rating anxiety scale (SAS) and self-rating depression scale (SDS) scores in the depression group were significantly higher than those in the non-depression group (P<0.05). The serum BDNF level in the depression group was significantly lower than that in the non-depression group (P<0.05). The levels of serum inflammatory factors, including C-reactive protein (CRP), interleukin-6 (IL-6) and tumor necrosis factor-α (TNF-α), in depression group were obviously higher than those in non-depression group (P<0.05). The correlation analyses of serum inflammatory factor and BDNF levels with depression showed that CRP and TNF-α were positively correlated with SDS score, while BDNF level was negatively correlated with SDS score. Logistic regression analyses revealed that menstrual status, chronic diseases, serum inflammatory factors (CRP, IL-6 and TNF-α) and BDNF levels had independent predictive values for depression in patients with perimenopausal syndrome (P<0.05). In conclusion, levels of serum CRP, IL-6, TNF-α and BDNF can be used as judgment indicators for the severity of depression. |
format | Online Article Text |
id | pubmed-5962862 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | D.A. Spandidos |
record_format | MEDLINE/PubMed |
spelling | pubmed-59628622018-05-30 Relationship between depression and inflammatory factors and brain-derived neurotrophic factor in patients with perimenopause syndrome Guo, Li Ren, Lidong Zhang, Caixia Exp Ther Med Articles The relationship of depression with levels of serum inflammatory factors and brain-derived neurotrophic factor (BDNF) in patients with perimenopausal syndrome was analyzed to investigate the predictive values of risk factors for depression in patients with perimenopausal syndrome. A total of 73 patients with perimenopausal syndrome were selected, and divided into the depression (n=30) and non-depression (n=43) groups. Results showed that the self-rating anxiety scale (SAS) and self-rating depression scale (SDS) scores in the depression group were significantly higher than those in the non-depression group (P<0.05). The serum BDNF level in the depression group was significantly lower than that in the non-depression group (P<0.05). The levels of serum inflammatory factors, including C-reactive protein (CRP), interleukin-6 (IL-6) and tumor necrosis factor-α (TNF-α), in depression group were obviously higher than those in non-depression group (P<0.05). The correlation analyses of serum inflammatory factor and BDNF levels with depression showed that CRP and TNF-α were positively correlated with SDS score, while BDNF level was negatively correlated with SDS score. Logistic regression analyses revealed that menstrual status, chronic diseases, serum inflammatory factors (CRP, IL-6 and TNF-α) and BDNF levels had independent predictive values for depression in patients with perimenopausal syndrome (P<0.05). In conclusion, levels of serum CRP, IL-6, TNF-α and BDNF can be used as judgment indicators for the severity of depression. D.A. Spandidos 2018-05 2018-03-22 /pmc/articles/PMC5962862/ /pubmed/29849779 http://dx.doi.org/10.3892/etm.2018.5985 Text en Copyright: © Guo et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. |
spellingShingle | Articles Guo, Li Ren, Lidong Zhang, Caixia Relationship between depression and inflammatory factors and brain-derived neurotrophic factor in patients with perimenopause syndrome |
title | Relationship between depression and inflammatory factors and brain-derived neurotrophic factor in patients with perimenopause syndrome |
title_full | Relationship between depression and inflammatory factors and brain-derived neurotrophic factor in patients with perimenopause syndrome |
title_fullStr | Relationship between depression and inflammatory factors and brain-derived neurotrophic factor in patients with perimenopause syndrome |
title_full_unstemmed | Relationship between depression and inflammatory factors and brain-derived neurotrophic factor in patients with perimenopause syndrome |
title_short | Relationship between depression and inflammatory factors and brain-derived neurotrophic factor in patients with perimenopause syndrome |
title_sort | relationship between depression and inflammatory factors and brain-derived neurotrophic factor in patients with perimenopause syndrome |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5962862/ https://www.ncbi.nlm.nih.gov/pubmed/29849779 http://dx.doi.org/10.3892/etm.2018.5985 |
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