Mikhail Zinchuk

Dr. Mikhail Zinchuk

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Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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Journal Article
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TDTatyana A. Druzhkova
Tatyana A. Druzhkova
AYAlexander Yakovlev
Alexander Yakovlev
FRFlora Rider
Flora Rider
MZMikhail Zinchuk
Mikhail Zinchuk
AGAlla B. Guekht
Alla B. Guekht
Natalia V. GulyaevaNatalia V. Gulyaeva
Natalia V. Gulyaeva
Background: The hypothalamic-pituitary-adrenal (HPA) axis, inflammatory processes and neurotrophic factor systems are involved in pathogenesis of both epilepsy and depressive disorders. The study aimed to explore these systems in patients with focal epilepsy (PWE, n = 76), epilepsy and comorbid depression (PWCED n = 48), and major depressive disorder (PWMDD, n = 62) compared with healthy controls (HC, n = 78). Methods: Parameters of the HPA axis, neurotrophic factors, and TNF-α were measured in blood serum along with the hemogram. Results: Serum cortisol level was augmented in PWE, PWCED, and PWMDD compared with HC and was higher in PWMDD than in PWE. Serum cortisol negatively correlated with Mini–Mental State Examination (MMSE) score in PWE, and positively with depression inventory–II (BDI-II) score in PWMDD. Only PWMDD demonstrated elevated plasma ACTH. Serum TNF-α, lymphocytes, and eosinophils were augmented in PWMDD; monocytes elevated in PWE and PWCED, while neutrophils were reduced in PWE and PWMDD. Serum BDNF was decreased in PWE and PWCED, CNTF was elevated in all groups of patients. In PWE, none of above indices depended on epilepsy etiology. Conclusions: The results confirm the involvement of HPA axis and inflammatory processes in pathogenesis of epilepsy and depression and provide new insights in mechanisms of epilepsy and depression comorbidity.

1 October 2021 in Epilepsy & Behavior
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Journal Article
Closed access
MZMikhail Zinchuk
Mikhail Zinchuk
GKGeorgii Kustov
Georgii Kustov
EPEvgenii Pashnin
Evgenii Pashnin
AGAnna Gersamia
Anna Gersamia
FRFlora Rider
Flora Rider
AGAlla Guekht
Alla Guekht

27 October 2020 in Archives of Suicide Research
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Journal Article
Closed access
MZMikhail Zinchuk
Mikhail Zinchuk
MBMassimiliano Beghi
Massimiliano Beghi
EBEttore Beghi
Ettore Beghi
EBElisa Bianchi
Elisa Bianchi
AAAlla Avedisova
Alla Avedisova
AGAlla Guekht
Alla Guekht
Nonsuicidal self-injury (NSSI) is recognized as a public health concern for its association with unfavorable outcomes, including suicidal behavior. The aim of this study is to identify factors asso...

15 September 2022 in Journal of Affective Disorders
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Journal Article
Closed access
MZMikhail Zinchuk
Mikhail Zinchuk
AGAlla B. Guekht
Alla B. Guekht
TDTatiana A. Druzhkova
Tatiana A. Druzhkova
NGNatalia V. Gulyaeva
Natalia V. Gulyaeva
ASAlexander A. Shpak
Alexander A. Shpak

23 June 2022 in Epilepsy & Behavior
Verified
Journal Article
Closed access
MZMikhail Zinchuk
Mikhail Zinchuk
GKGeorgii Kustov
Georgii Kustov
EPEvgenii Pashnin
Evgenii Pashnin
AGAnna Gersamia
Anna Gersamia
FRFlora Rider
Flora Rider
AGAlla Guekht
Alla Guekht

1 May 2023 in Psychological Assessment
Verified
Journal Article
Closed access
MZMikhail Zinchuk
Mikhail Zinchuk
GKGeorgii Kustov
Georgii Kustov
BBBo Bach
Bo Bach
EPEvgenii Pashnin
Evgenii Pashnin
AGAnna Gersamija
Anna Gersamija
AGAlla Guekht
Alla Guekht
The Diagnostic and Statistical Manual of Mental Disorders, fifth edition (DSM-5) and International Classification of Diseases 11th revision (ICD-11) have introduced a new dimensional approach to personality disorder (PD) classification that relies on the global level of PD severity and individual expressions of personality dysfunction in terms of specified trait domains (i.e., negative affectivity, detachment, antagonism, disinhibition, anankastia, and psychoticism). This study sought to evaluate the psychometric qualities of the DSM-5 and ICD-11 trait domains and facets in 570 Russian psychiatric inpatients using the Modified 36-Item Personality Inventory for DSM-5 and ICD-11 Brief Form Plus-Modified (PID5BF + M). The expected six-factor structure of the DSM-5 and ICD-11 trait domains was replicated using exploratory factor analysis. The six domain scores showed expected convergence with normal five-factor model scores, and the 18 subfacets showed acceptable scale reliability. Our findings overall support the psychometric properties of the six PID5BF + M domain scores and 18 subfacet scores covering both the ICD-11 and the DSM-5 trait models. Consequently, clinicians and researchers in Russian-speaking mental health services are now able to perform a combined and facet-level assessment of the DSM-5 and ICD-11 trait models in a feasible and psychometrically sound manner. (PsycInfo Database Record (c) 2023 APA, all rights reserved).