Plasma Levels of Neurotrophic Factors are not Associated with the Severity of Depression

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Abstract

Depression is one of the most common mental illnesses. Impaired neurogenesis is observed in depression. Studying the concentration of biochemical indicators in the blood that may be involved in the pathogenesis of depression, looking for associations with the severity of depressive symptoms can be useful as an objective diagnosis of the disease and predicting the severity of the pathology. We determined plasma concentrations of the monoamine neurotransmitters serotonin and dopamine, and neurotrophic factors involved in neurogenesis (BDNF, CDNF and neuropeptide Y) in depressed patients and healthy volunteers with the same socio-demographic parameters using enzyme immunoassay and mass spectrometry. All study participants were administered the Hamilton Depression Scale (HAMD), the Generalized Anxiety Disorder Questionnaire (GAD-7), and the Center for Epidemiological Studies (CES-D). The cumulative scores on the three scales examined were significantly higher in depressed patients than in controls. The concentration of serotonin, dopamine, BDNF, CDNF, and neuropeptide Y in plasma did not differ between the subject groups and was not associated with the scores on the scales. Positive correlations were found between the content of neuropeptide Y and serotonin, BDNF and CDNF in blood plasma. Thus, although these markers are related to the pathophysiology of depression, they do not correlate with the severity of symptomatology and possibly in plasma cannot reflect processes occurring in the brain.

General Information

Keywords: depression, HAMD, CES-D, GAD7, BDNF, CDNF, neuropeptide Y

Journal rubric: Editorials

Article type: scientific article

DOI: https://doi.org/10.17816/CP110

Received: 26.10.2021

Accepted:

For citation: Zorkina Ya.A., Syunyakov T.S., Abramova O.V., Yunes R.A., Pavlichenko A.V., Pavlov K.A., Khobta E.B., Susloparova D.A., Tsarapkin G.Yu., Andreyuk D.S., Danilenko V.N., Gurina O.D., Morozova A.Yu. Plasma Levels of Neurotrophic Factors are not Associated with the Severity of Depression. Consortium Psychiatricum, 2021. Vol. 2, no. 4, pp. 13–22. DOI: 10.17816/CP110.

Full text

INTRODUCTION

Depression is a common mental disorder with multifactorial etiology. There is a need for the search for biomarkers that correlate with depression that will allow for timely diagnostics of at-risk individuals and to assess treatment efficacy for those who develop depression.1,2 Depression is known to be accompanied by biochemical changes in the blood that could potentially serve as appropriate biomarkers.2

Although there are many hypotheses on how depression actually develops, the pathophysiology of the disease is still not fully understood. The monoaminergic hypothesis was one of the earliest on the development of depression, which attributes the depressive symptomatology to the dysfunction of monoamine neurotransmitter systems.1 Serotonin is a key neurotransmitter for emotional responses, whose metabolism and reuptake from the synaptic cleft are impaired in depression. Dopamine is the main neurotransmitter supporting the reward pathway.3 Depression is associated with a decrease in activity of the dopaminergic system.3-5 Although the main functions of monoamine neurotransmitters are in brain tissue, their concentrations in blood may reflect certain neurochemical changes, and identifying such associations is promising in terms of finding potential biomarkers of depression.5

Depression is associated with structural and cellular changes in the corticolimbic brain areas that control mood and emotions, such as neuronal loss and synaptic dysfunction.6-9 The loss or reduction of neurogenesis in the hippocampal dentate gyrus and subventricular zone of the lateral ventricles in adults may cause depression. Impaired growth factor signaling is associated with manifestations of depression.7,10 The brain-derived neurotrophic factor (BDNF) is a well-researched protein that has multiple functions and is involved in the processes of neurogenesis, neuroplasticity, and memory formation.11 The BDNF has been found not only in the brain but also in blood and saliva.12,13 Numerous studies have shown that the BDNF in blood is involved in certain depression-associated mechanisms.14-17 Cerebral dopamine neurotrophic factor (CDNF) shows neuroprotective and neurorestorative activity. Among the known growth factors, CDNF is the least studied.19,20 Neuropeptides function as neuromodulators in the brain. Neuropeptide Y (NPY) is widely distributed in the central nervous system and is involved in physiological and behavioral regulation, and in neurogenesis modulation.21,22 NPY is associated with anxious behavior in animals and humans and affects cognitive function.23-25 Several studies have shown that NPY concentrations may alter in cerebrospinal fluid and blood during depression and antidepressant therapy.26-30

Thus, specific growth factors, neuropeptides, and neurotransmitters in the blood may potentially act as biomarkers for depressive disorders. To confirm this assumption, we conducted a study to examine blood concentrations of factors related to the regulation of neuroplasticity and neurogenesis (BDNF, CDNF, and neuropeptide Y) and monoamine neuromediators (serotonin and dopamine), and to determine the connections between these factors and the severity of depressive symptoms. Another aim was to determine possible correlations between the levels of neurotrophic factors in plasma and the relationships between these parameters with each other in depressive disorders.

This study is a part of the study “Metagenomic analysis of the gut microbiota in people with depressive disorders to identify marker gene compositions. A single center non-interventional observational exploratory study” (study code “PKB1-2020-01”).

MATERIAL AND METHODS

Study population

The study includes twenty-two patients with depression (13 males and nine females, aged 18–59 years old) and sixteen healthy volunteers (seven males and nine females, aged 18–45 years old). The patients were continuously selected from inpatients of Mental Health Clinic No. 1, named after N.A. Alexeev, of the Moscow Healthcare Department with diagnoses of depression.

Inclusion criteria:

Patients with moderate to severe depressive episodes with or without psychotic symptoms within bipolar disorder, depressive episodes, recurrent depression (ICD-10 F31.3; F31.4, F31.5; F32.1; F32.2; F32.3; and F32.8, F32.9, F33.1, F33.2, F33.3), aged 18–60 years old were enrolled in the study. Additionally, patients underwent evaluation using the Generalized Anxiety Disorder Questionnaire (GAD-7)33, and the Center for Epidemiological Studies (CES-D)32. Following scales cut-offs were used to confirm the presence of depression and absence of anxiety: The patients had total scores of HAMD ≥14, CES-D ≥27, and GAD-7 <10.

The group of healthy volunteers met the following criteria: (1) absence of current psychiatric disorders; (2) total CES-D score under 18 and GAD-7 score under 5. Exclusion criteria were:

  • acute infectious and chronic autoimmune diseases, somatic diseases that may affect biochemical analysis (for instance, cancer, HIV, diabetes, mellitus);
  • concurrent eating disorders, posttraumatic stress disorder, or psychoactive substance use disorder, including alcohol dependence;
  • concomitant neurological diseases, or a history of severe craniocerebral trauma.
Instruments

Medical examination and medical history investigation were carried out in accordance with routine clinical practice, including anthropometric parameter evaluation (height, weight), collecting information about smoking or alcohol use, and any family history of mental disorders.

17-item Hamilton Depression Rating Scale (HAMD-17) scores31 and CES-D32 were used to assess symptoms severity in patients with depression.

Fasting blood samples were collected from the cubital vein in the morning on the second or third day after admission. Plasma was separated by centrifugation immediately after blood sampling (3,000 rpm for 10 minutes) at 4ºC and was stored at -80ºC.

Healthy volunteers were blood sampled using the same protocol.

Before the analysis, the plasma samples were thawed and BDNF, CDNF, and neuropeptide Y plasma concentrations were determined using an enzyme immunoassay kit (Abcam) according to the manufacturer’s protocols. Monoamines were determined using an Agilent 6490A mass spectrometer combined with an Agilent 1290 liquid chromatograph.

Statistical analysis

Given the small sample size, all statistical analyses were performed using nonparametric statistical methods, regardless of the variables’ distribution patterns. Continuous variables were presented as medians with indication of quartiles 1 (Q1) and 3 (Q3), and categorical variables were presented as absolute and relative frequencies. The Kruskal-Wallis test was used to compare continuous variables between the groups. The differences between the frequencies were analyzed using Fisher’s exact test. Relationships between quantitative variables were measured using the Spearman’s rank correlation method. All statistical tests were performed at a statistical significance level of 5%. Statistical analysis was performed using the freeware R (RStudio, Version 1.3.1073, 2020) and Jamovi software suites (Jamovi, Version 1.6, 2021).

All study participants signed voluntary informed consent forms. The study was approved by the Research Clinical Institute of Otorhinolaryngology of L.I. Svelzhevsky (Protocol No. 2 dated May 20, 2020).

RESULTS

Overall and clinical characteristics of the study sample are shown in Table 1. Among the 22 patients, 11 were diagnosed with a first depressive episode, six patients had had a second episode, and five patients had had three or more episodes. Five patients had family histories of psychiatric disorders, whilst in the group of healthy volunteers no-one had family history of mental disorders. Five patients showed a moderate severity of depression (total HAMD score of 14 to 18), 14 patients had severe depression (score of 19 to 24), and three had extreme depression (score >24).

Study groups were comparable in age, gender, anthropometric parameters, smoking or alcohol use status, and family histories of mental disorders (Table 1).

 

Table 1. Clinical and demographic characteristics of the study population

Parameter

Main group (n=22)

Control group (n=16)

Statistical significance rates

Agea

- Median (Q1, Q3)

29.0 (21.0, 38.0)

25.0 (24.0, 30.0)

KW=0.00

p=0.951

Genderb

- Females

9 (40.9%)

9 (56.2%)

p=0,512

- Males

13 (59.1%)

7 (43.8%)

Weight, kga

- Median (Q1, Q3)

58.5 (54.2, 76.8)

62.0 (57.0, 79.5)

KW=0.13

p=0.722

Height, сma

- Median (Q1, Q3)

171.5 (169.2, 177.8)

172.0 (164.5, 178.0)

KW=0.087

p=0.768

Smoking statusb

- Negative

13 (59.1%)

9 (56.3%)

p=1.000

- Positive

9 (40.9%)

7 (43.7%)

Alcohol use statusb

- Negative

12 (54.5%)

8 (50.0%)

p=0.743

- Positive

10 (45.5%)

8 (50.0%)

Depression in past medical historyb

- Positive

11 (50%)

0 (0%)

p=0.005

- Negative

11 (50%)

16 (100%)

Family history of psychiatric disordersb

- Negative

17 (77.3%)

16 (100.0%)

p=0.067

- Positive

5 (22.7%)

0 (0.0%)

HAMD, total scorea

- Median (Q1, Q3)

20.0 (19.0, 22.0)

2.0 (0.0, 3.5)

KW=26.3

p <0.001

GAD7, total scorea

- Median (Q1, Q3)

7.5 (5.0, 8.8)

2.0 (0.8, 3.0)

KW=22.0

p <0.001

CES-D, total scorea

- Median (Q1, Q3)

28.0 (28.0, 30.5)

3.0 (0.0, 8.2)

KW=27.5

p <0.001

a Kruskal–Wallis test

b Fisher’s exact test

No differences were found in blood biomarker concentrations between patients with depression and healthy volunteers (Table 2).

Table 2. Comparison of serotonin, dopamine, neuropeptide Y, BDNF, and CDNF values in plasma of patients with depression and healthy volunteers

Biomarkers

Depression (n=22)

Volunteers (n=16)

Statistical significance rates

Serotonin (ng/ml)

- Median (Q1, Q3)

4.4 (1.7, 11.0)

7.2 (2.9, 31.2)

KW=0.423

p=0.284

Dopamine (pg/ml)

- Median (Q1, Q3)

3.4 (1.9, 5.9)

3.7 (2.4, 6.8)

KW=0.013

p=0.908

NPY (pg/ml)

- Median (Q1, Q3)

408.1 (148.6, 618.2)

492.4 (186.2, 571.9)

KW=0.014

p=0.906

BDNF (pg/ml)

- Median (Q1, Q3)

312.1 (293.4, 458.3)

313.3 (165.8, 406.9)

KW=0.423

p=0.515

CDNF (ng/ml)

- Median (Q1, Q3)

82.9 (68.3, 152.7)

55.8 (43.3, 97.5)

KW=1.773

p=0.183

 

The correlation analysis showed no relationship between biomarker concentrations and the total score in the CES-D, GAD-7, and HAMD scales (Tables 3 and 4). Positive correlations between NPY and serotonin in the depressed patient group, and between CDNF and BDNF in the healthy volunteer group, were revealed.

Table 3. The correlation analysis of serotonin, dopamine, neuropeptide Y, BDNF, and CDNF content in the plasma of patients with depression and healthy volunteers. The table also shows the associated p-values

Рatients with depression

Parameter

BDNF (pg/ml)

Serotonin (ng/ml)

NPY (pg/ml)

Dopamine (pg/ml)

CDNF (ng/ml)

BDNF

1

0.074

0.906

0.396

0.763

Serotonin

0.074

1

0.024

0.333

0.744

NPY

0.906

0.024

1

0.354

0.617

Dopamine

0.396

0.333

0.354

1

0.662

CDNF

0.763

0.744

0.617

0.662

1

CES

0.871

0.508

0.900

0.783

0.281

GAD7

0.389

0.512

0.139

0.267

0.263

HAMD

0.091

0.056

0.639

0.783

0.480

Нealthy volunteers

Parameter

BDNF (pg/ml)

Serotonin (ng/ml)

NPY (pg/ml)

Dopamine (pg/ml)

CDNF (ng/ml)

BDNF

1

0.356

0.299

0.536

0.008

Serotonin

0.356

1

0.462

1.000

0.200

NPY

0.299

0.462

1

0.132

0.880

Dopamine

0.536

1.000

0.132

1

0.136

CDNF

0.008

0.200

0.880

0.136

1

CES

0.409

0.613

0.774

0.115

0.076

GAD7

0.281

0.553

0.955

0.389

0.843

HAMD

0.539

0.883

0.695

0.096

0.744

 

Table 4. The correlation analysis of serotonin, dopamine, neuropeptide Y, BDNF, and CDNF content in the plasma of patients with depression and healthy volunteers. The table shows the correlation factor values

Рatients with depression

Parameter

BDNF (pg/ml)

Serotonin (ng/ml)

NPY (pg/ml)

Dopamine (pg/ml)

CDNF (ng/ml)

BDNF

1

-0.516

-0.032

-0.393

-0.082

Serotonin

-0.516

1

-0.721

0.800

0.133

NPY

-0.032

-0.721

1

-0.429

0.135

Dopamine

-0.393

0.800

-0.429

1

0.214

CDNF

-0.082

0.133

0.135

0.214

1

CES

0.037

0.202

-0.034

-0.111

0.287

GAD7

0.192

-0.200

0.375

-0.491

0.297

HAMD

-0.370

0.549

-0.122

-0.108

-0.190

Нealthy volunteers

Parameter

BDNF (pg/ml)

Serotonin (ng/ml)

NPY (pg/ml)

Dopamine (pg/ml)

CDNF (ng/ml)

BDNF

1

0.309

-0.345

-0.262

0.840

Serotonin

0.309

1

-0.310

0.000

0.595

NPY

-0.345

-0.310

1

0.595

-0.050

Dopamine

-0.262

0.000

0.595

1

-0.667

CDNF

0.840

0.595

-0.050

-0.667

1

CES

0.221

0.173

-0.101

-0.610

0.641

GAD7

0.287

0.202

-0.023

-0.346

0.084

HAMD

0.172

-0.058

0.136

-0.630

0.141

 

DISCUSSION

In our study we did not find differences in the blood concentrations of the examined biochemical indicators (biomarkers) for depression between the patient and healthy volunteers groups. In the patients group, we did not find any correlations between biomarker concentrations and HAMD and CES-D scales scores.

Quantitative serotonin and dopamine levels seem to be very useful indicators of depression,4,26 although our study has not revealed any links between plasma concentrations of neurotransmitters and depression, other studies show mixed results.34-36 Plasma serotonin levels have been investigated as biomarkers, even though the relationship between plasma serotonin and brain serotonin is uncertain.35 Plasma levels of serotonin have been shown to be very low or undetectable in patients with monopolar depression.37 However, there is evidence that plasma levels of serotonin do not change in depression,35 which is similar to the results of our study. Some authors have concluded that plasma serotonin levels do not correlate with the amount of serotonin in the brain; in a similar manner, serotonin levels in the blood do not depend on the depressive disorder stage, and it thus cannot be used as a quality marker for treatment.34 In terms of dopamine, some researchers revealed an increase,5 some a decrease,38 and some did not find any changes in the blood in depression.

Chronic stress has a negative impact on hippocampal neurogenesis in adults. Preclinical studies show that exposure to stress leads to atrophy and cell loss in the hippocampus, as well as to decreased expression of neurotrophic growth factors.10 Therefore, the focus of this study has concentrated on identifying the substances in blood that affect neurogenesis and the neuroplasticity of the brain.

Some authors suggest that depression develops due to dysfunctional neurogenesis in the regions of the brain responsible for emotion and cognition.39 This hypothesis is based on the revealed correlation between lower BDNF levels and a higher incidence of depressive symptoms. If we review the existing research on the relationship between BDNF blood concentrations and depression, we may find sufficient evidence to support this pattern. Patients with depression have lower serum and plasma BDNF levels than healthy controls.14-17 Thus, many studies have identified BDNF as a possible biomarker for depression. Our study showed no apparent differences in plasma BDNF concentrations of the patients with depression and healthy volunteers, as well as the absence of associations of their levels with depression scale scores. Such studies should be interpreted with caution as they show mixed results, have small sample sizes, systematic publication errors, and different patterns of BDNF measurement, where these studies mostly ignore the different sampling factors that affect BDNF, which is problematic when interpreting the relationship between peripheral blood BDNF and depression. The question of the relationship between peripheral BDNF and depression has many unresolved issues and requires further careful validation, and at this stage the blood BDNF value is not recommended for use as a biomarker in clinical practice.12

CDNF has a unique mode of action associated with the prevention of cell death,20 therefore it was useful to investigate whether the CDNF concentration in blood can be related to depressive state. In our study, we found no apparent connection between this factor and diagnosed depression and its severity. However, we have revealed that CDNF levels are correlated with plasma BDNF levels in the group of healthy volunteers. This pattern requires further investigation, as CDNF has only recently been discovered and is thus a poorly studied growth factor.

Although our study demonstrated no alterations in plasma NPY concentrations in depression, the correlation between NPY concentrations in the central nervous system and depression has been shown in a number of studies.26 In cases of depression, NPY expression is reduced in the hippocampus, amygdala, and cerebrospinal fluid, but is increased in the hypothalamus. However, the scientific literature provides us with mixed results on blood NPY levels in people with major depressive disorder (MDD). It has been shown that in cases of MDD, blood NPY concentrations can remain unchanged,26 can increase,27 or decrease.40 However, a meta-analysis of studies35 has revealed that NPY levels are lower in patients with depression compared to healthy controls,29 and there is evidence that NPY levels increase (become normal) with antidepressant medication.30 It is also worth noting that psychotropic drug use and the female gender are associated with higher NPY levels.29

In our study, we found no association between NPY and the presence of depression and its severity, but we have found a positive correlation between plasma NPY and serotonin concentrations in the group of patients with depression. This association is an interesting finding because there are indications in animal studies that certain mechanisms of interaction between serotonin and NPY exist in the brain. In animal studies, it has been shown that serotonin neurons and NPY-synthesizing neurons in the hypothalamus, which inhibit and stimulate food intake, respectively, can interact with fluoxetine (a serotonin reuptake inhibitor) to control energy homeostasis, significantly reducing NPY levels in the paraventricular nucleus, the main area of NPY release.41 Also, intracerebroventricular administration of NPY increases serotonin release in the hypothalamus.42 The results reported in these studies show an association between serotonin and NPY in the central nervous system and its possible association with depression; however, this does not exclude possible peripheral associations of these factors, and which thus require further research.

Our study was limited by the small sample size, clinical heterogeneity of the depressive episode (bipolar and unipolar depression, half of the patients having had their first episode), and also because the medications used in therapy were not considered.

CONCLUSION

Contrary to our expectations, we have found no apparent association between the concentration of the studied biochemical parameters and the severity of depressive symptoms. At the same time, our work has shown definite connections between concentrations of biochemical indicators in plasma. A positive correlation between serotonin and NPY levels in the plasma of patients with depression, and between CDNF and BDNF in the plasma of healthy volunteers has been shown. These findings require closer attention in future studies.

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Information About the Authors

Yana A. Zorkina, PhD in Biology, V. Serbsky National Medical Research Centre of Psychiatry and Narcology of the Ministry of Health of the Russian Federation; Mental-health, Mental-health Clinic No. 1 named after N.A. Alexeev, Moscow, Russia, ORCID: https://orcid.org/0000-0003-0247-2717, e-mail: zorkina.ya@serbsky.ru

Timur S. Syunyakov, PhD in Medicine, leading researcher, Psychiatric Clinical Hospital No. 1 named after N.A. Alekseev, Republican Specialized Scientific and Practical Center of Narcology; Samara State Medical University, Moscow, Russia, ORCID: https://orcid.org/0000-0002-4334-1601, e-mail: sjunja@bk.ru

Olga V. Abramova, Junior research assistant, FSBI "NMIC PN named after V.P. Serbsky" of the Ministry of Health of the Russian Federation, Mental Health Clinic No.1 named after N.A. Alexeev, Moscow, Russia, ORCID: https://orcid.org/0000-0001-8793-1833

Roman A. Yunes, PhD in Biology, Institute of General Genetics named after N. I. Vavilov RAS, Moscow, Russia, ORCID: https://orcid.org/0000-0001-6283-6258

Alexey V. Pavlichenko, PhD in Medicine, Associate Professor, the Department of Mental Health, Faculty of Psychology, Lomonossov Moscow State University, Chief Specialist, International Scientific and Educational Center for Neuropsychiatry, Samara State Medical University under the Ministry of Health of the Russian Federation, Moscow, Russia, ORCID: https://orcid.org/0000-0003-2742-552X, e-mail: apavlichenko76@gmail.com

Konstantin A. Pavlov, PhD, Department Basic and Applied Neurobiology, V.P. Serbsky National Medical Research Center for Psychiatry and Narcology, Moscow, Russia, ORCID: https://orcid.org/0000-0001-8390-7000

Elena B. Khobta, Attending physician, Researcher, Psychiatric Clinical Hospital No. 1 named after N.A. Alekseev, Moscow, Russia, ORCID: https://orcid.org/0000-0002-4501-8576

Daria A. Susloparova, Clinical resident psychiatrist , Psychiatric Clinical Hospital No. 1 named after N.A. Alekseev, Moscow, Russia, ORCID: https://orcid.org/0000-0002-8505-8310

Grigory Y. Tsarapkin, Doctor of Medicine, Research Clinical Institute of Otorhinolaryngology of L.I. Svelzhevsky Department of Health of Moscow, Moscow, Russia

Denis S. Andreyuk, PhD in Biology, Psychiatric Clinical Hospital No. 1 named after N.A. Alekseev, Moscow, Russia, ORCID: https://orcid.org/0000-0002-3349-5391, e-mail: denis.s.andreyuk@yandex.ru

Valery N. Danilenko, Doctor of Biology, Head of the Laboratory of Microbial Genetics, Head of the Department of Genetic Foundations of Biotechnology, Institute of General Genetics of the Russian Academy of Sciences, Scientific director and coordinator of the Russian Consortium "Nutrigenomics. Microbiome", Professor of the Department of Bioinformatics, Faculty of Medical and Biological Physics, MIPT, Moscow, Russia, ORCID: https://orcid.org/0000-0001-5780-0621, e-mail: valerid@vigg.ru

Oksana D. Gurina, PhD in Psychology, Main Expert, Moscow Research Center, Associate Professor, Department of Legal Psychology and Law, Faculty of Legal Psyсhology, Moscow State University of Psychology & Education, Moscow, Russia, ORCID: https://orcid.org/0000-0002-4369-5450, e-mail: godgur@yandex.ru

Anna Y. Morozova, V. Serbsky National Medical Research Centre of Psychiatry and Narcology of the Ministry of Health of the Russian Federation; Mental-health, Mental-health Clinic No. 1 named after N.A. Alexeev, Moscow, Russia, ORCID: https://orcid.org/0000-0002-8681-5299, e-mail: hakurate77@gmail.com

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