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Introduction

With the increase of social pressure and the pace of life, mental illnesses, such as anxiety disorder, or even depression disorder, are increasingly common in perimenopause women due to hormonal metabolic disorders (1). Patients with perimenopausal syndrome present a series of symptoms, such as dysphoria, irascibility, mood swings and uncontrolled rage, which have a negative impact on the patients themselves and their families and lead to a lower quality of life (2,3). The main reasons for these symptoms are the decline of ovarian function and significant reduction of endogenous estrogen secretion.

Previous research has shown that the level of brain-derived neurotrophic factor (BDNF) in peripheral serum is closely related to the severity of depression (4), as it is an important component in neurotrophic factors. BDNF in the cells of brain tissue is composed of the tissues such as neurogliocyte and neuron in the brain tissue cells (5) and BDNF in peripheral serum is composed and secreted by blood platelets. When the composition or content of blood palates is stimulated by external or internal factors, a reduction or increase is observed in the synthesis and secretion of BDNF (6). When patients have depressive symptoms, a significant reduction in the content, synthesis and release of BDNF in peripheral serum is observed (7). As the inflammatory system is regulated and mediated by multiple inflammatory factors, antidepressants are often used in the treatment of the majority pf patients with depression disorder to lower the level of inflammatory factors and obtain a better treatment effect (8). However, more research data are necessary to support the related mechanisms.

Perimenopausal syndrome refers to the related clinical manifestations presented during the period from the first time of clinical manifestation of menopause to the time of the last menstruation. It is during this period that the probability of depression is increased (9). Therefore, the investigation on the risk factors associated with depression in perimenopausal syndrome patients can avoid or reduce the onset as much as possible or achieve the goal of early detection and early treatment.

Patients and methods

General data

A total of 73 patients diagnosed with perimenopausal syndrome treated in the Affiliated Hospital of Inner Mongolia Medical University (Hohhot, China) from February, 2016 to January, 2017 were selected and divided into the depression (n=30) and non-depression (n=42) groups. The patients were aged 47–53 years, with an average age of 49.03±3.48 years. All selected cases conformed to the related diagnostic requirements of perimenopausal syndrome specified in the 8th edition of Obstetrics and Gynaecology in China. The diagnosis of depression was based on the Hamiton's Depression Scale in 1959 (score >20 points) and the Chinese classification and diagnostic criteria of mental disorders. Exclusion criteria: Patients aged <41 years; patients who had taken related medicines that affected hormone level recently; patients with severe heart, liver or renal insufficiency; patients with malignant tumor; patients with mental disorders, such as anxiety, depression or schizophrenia in their past medical history; patients who did not sign the informed consent; patients without complete clinical data or who dropped out midway.

The study was approved by the Ethics Committee of Affiliated Hospital of Inner Mongolia Medical University. Written informed consent was provided by the patients.

Methods

Measurement of the level of inflammatory factors in peripheral serum [C-reactive protein (CRP), interleukin-6 (IL-6) and tumor necrosis factor-α (TNF-α)] and BDNF: Peripheral blood sample (15 ml) was drawn from each of the included patients after fasting for solids and liquids for 10 h overnight, which was then centrifuged to obtain the upper serum. Serum (10 ml) was used to measure the level of inflammatory factors in peripheral serum by immunoturbidimetry and the remaining 5 ml was used to measure the level of BDNF by ELISA. All the reagents and instruments were provided by Hangzhou Biological Instruments Co., Ltd. (Hangzhou, China).

Calculation methods in self-rating anxiety scale (SAS) and self-rating depression scale (SDS): SDS scores include 20 items and the critical score is 50 points. The higher the total score is, the more obvious the depressive symptom will be. SAS score: >50 points, SAS >60 points (mild anxiety), ≤60 points, SAS <70 points (moderate anxiety), SAS ≥70 point (severe anxiety).

Statistical analysis

Statistical Product and Service Solutions (SPSS) 19.0 software (IBM, Armonk, NY, USA) was used for data processing, data collected were presented as mean ± SD, Chi-square test was used for the comparison of enumeration data, correlation analysis was conducted for the two factors, logistic analysis was conducted for the related risk factors, and P<0.05 indicates that the difference was considered to be statistically significant.

Results

Comparison of general data and main life events between depression group and non-depression group of patients with perimenopausal syndrome

The results showed that the differences in the age and health condition of spouse between depression group and non-depression group had no statistical significance (P<0.05), while the number of cases having irregular menstruation, no work, being divorced or widowed and having chronic disease in the depression group was significantly higher than that in non-depression group, and the difference was statistically significant (P<0.05) (Table I).

Table I. Comparisons of general data and main life events between depression group and non-depression group of patients with perimenopausal syndrome.

Table I.

Comparisons of general data and main life events between depression group and non-depression group of patients with perimenopausal syndrome.

Normal information	Depression group (n=30)	Non-depression group (n=43)	P-value
Age (years)	50.78±3.69	49.01±2.41	0.671
Menstruation (normal/abnormal)	4/26	33/10	0.003
Work (work/no work)	5/25	38/5	0.023
Companion health (health/chronic diseases)	18/12	27/16	0.058
Marital status (good/divorced/widowed)	5/23/2	38/4/1	0.001
Self-chronic disease (yes/no)	26/4	16/27	0.048

Comparisons of SAS score and SDS score between the depression and non-depression groups of patients with perimenopausal syndrome

The results showed that SAS score and SDS score in depression group was significantly higher than those in non-depression group, and the differences were statistically significant (P<0.05) (Fig. 1).

Figure 1. Comparisons of self-rating anxiety scale (SAS) scores and self-rating depression scale (SDS) scores between the depression and non-depression groups of patients with perimenopausal syndrome.

Comparison of BDNF level in peripheral serum between the depression and non-depression groups of patients with perimenopausal syndrome

The results showed that BDNF level in peripheral serum in depression group was significantly lower than that in non-depression group, and the difference was statistically significant (P<0.05) (Fig. 2).

Figure 2. Comparison of brain-derived neurotrophic factor (BDNF) level in peripheral serum between depression group and non-depression group of patients with perimenopausal syndrome.

Comparison of inflammatory factor levels in peripheral serum between the depression and non-depression groups of patients with perimenopausal syndrome

The results showed that inflammatory factor levels (CRP, IL-6 and TNF-α) in peripheral serum in depression group were significantly higher than those in non-depression group and the differences were statistically significant (P<0.05) (Table II).

Table II. Comparisons of inflammatory factor levels in peripheral serum between the depression and non-depression group of patients with perimenopausal syndrome.

Table II.

Comparisons of inflammatory factor levels in peripheral serum between the depression and non-depression group of patients with perimenopausal syndrome.

Group	No.	CRP (mg/l)	TNF-α (pg/ml)	IL-6 (ng/l)
Depression group	30	5.39±1.46	13.67±3.19	16.45±2.92
Non-depression group	43	2.38±1.09	7.06±3.56	8.02±1.87
P-value		0.001	0.001	0.001

[i] CRP, C-reactive protein; TNF-α, tumor necrosis factor-α; IL-6, interleukin-6.

Correlation analysis of inflammatory factor levels in peripheral serum and BDNF level with depression

The results showed CRP (r=0.793, P<0.001) and TNF-α (r=0.682, P<0.001) were all positively correlated with SDS score, while BDNF level was negatively correlated with SDS score (r=−0.745, P<0.001) (Figs. 3–5).

Figure 3. Correlation between C-reactive protein (CRP) and self-rating depression scale (SDS) score.

Figure 5. Correlation between brain-derived neurotrophic factor (BDNF) and self-rating depression scale (SDS) score.

Logistic regression analysis of risk factors in predicting the onset of depression of patients with perimenopausal syndrome

The results indicated that the menstrual condition, chronic disease condition, inflammatory factor in peripheral serum (CRP, IL-6 and TNF-α) and BDNP level had unique value in predicting the onset of depression of patients with perimenopausal syndrome (P<0.05) (Table III).

Table III. Logistic regression analysis of risk factors in predicting the onset of depression of patients with perimenopausal syndrome.

Table III.

Logistic regression analysis of risk factors in predicting the onset of depression of patients with perimenopausal syndrome.

Risk factors	P-value	OR value	95% CI
Age (years)	0.109	1.095	0.986–1.157
Menstruation	0.015	7.953	1.916–25.134
Work	0.054	1.046	0.988–1.119
Companion health	0.526	1.448	0.466–4.488
Marital status	0.052	1.165	1.054–1.538
Self-chronic disease	0.043	1.005	0.928–1.113
BDNF	0.023	1.046	0.995–1.113
CRP	0.001	1.004	0.995–1.321
IL-6	0.032	1.065	0.964–1.117
TNF-α	0.029	1.054	0.984–1.065

[i] BDNF, brain-derived neurotrophic factor; CRP, C-reactive protein; TNF-α, tumor necrosis factor-α; IL-6, interleukin-6.

Discussion

As patients with depression are often in the psychological state of low mood, it is easy to cause substantial organ dysfunction, if not treated seriously for a long time. Depression is a common impaired mental function syndrome (10), especially in this rapid development world, the incidence of depression has become higher and higher with the increase of life pressure (11). Patients with perimenopausal syndrome, due to the metabolic disorders of hormone levels, are more likely to develop autonomic nerve dysfunction (12), which can be further developed into depression. Some patients have the symptom of depression from the beginning of perimenopause which may continue or repeat until menopause, while it may even continue for 5–10 years after menopause to overcome by patients (13), which will bring serious negative effects on patients themselves and their families as well as society. The most essential reason of having depression for patients with perimenopausal syndrome is the rapid reduction of endogenic estrogen content, resulting in moodiness, mainly manifested as irritability and depression (14). Thus, estrogen is often used in the clinical treatment of perimenopausal syndrome, which can effectively improve patients' depressed mood and promote their life quality (15). Relevant research data indicated that the use of exogenous estrogen in the treatment of perimenopausal syndrome can lower the inflammatory factor level and increase BDNF level, which can avoid onset of depression or effectively improve the severity of depression (16). However, this conclusion is necessary to be supported by more research data. BDNF is a protein component (17) with wide application existing in both central nervous system and peripheral nervous system of mammals, which can defend against anxiety and depression by mediating synapses by accelerating the differentiation of certain neurons (18). Hippocampus in the central nervous system is the main place where BDNF expression is produced. When BDNF content decreases, the patient will be found in an obvious depressive state (19). This study found that BDNF level in the group of perimenopausal syndrome patients with depression was significantly lower than that in the group without depression and BDNF was negatively correlated with SDS score, which was consistent with the conclusion.

The most common therapy for patients with depression is to use antidepressant. Research has shown that there is an obvious decline in patients' inflammatory factor level in peripheral serum during the use of antidepressant, thus inflammatory factor levels in peripheral serum are considered to be correlated with depression and its severity (20).

The conclusion from this study is that inflammatory factor levels in peripheral serum in depression group of patients with perimenopausal syndrome are significantly higher than those in non-depression group and inflammatory factor levels are positively correlated with SDS scores. In general, inflammatory factor levels in peripheral serum and BDNF level have important reference value in the depression occurred during perimenopause and can be regarded as the marker in evaluating the treatment effect of drug therapy on depression disorder. The decline of BDNF level in peripheral serum and increase of inflammatory factor levels demonstrate that the patient is more likely to develop depression disorder simultaneously or the depressive symptoms may be exacerbated. Therefore, BDNF level and inflammatory factor levels in peripheral serum have great significance in the diagnosis and treatment of perimenopausal syndrome.

Acknowledgements

Not applicable.

Funding

This work was supported in part by the Natural Science Foundation of Inner Mongolia (2017MS0828).

Availability of data and materials

All data generated or analyzed during this study are included in this published article.

Authors' contributions

LG was for study design, LR and CZ were for data collection and analysis, LG and CZ were for manuscript preparation. All authors read and approved the final manuscript.

Ethics approval and consent to participate

The study was approved by the Medical Ethics Committee of Affiliated Hospital of Inner Mongolia Medical University (no. INNER-MS-2015-IS-0043; Hohhot, China). Written informed consent was obtained from all the patients.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

References