[Development of preclinical diagnosis and preventive treatment of neurodegenerative diseases]

Pathological Correlates of Cognitive Decline in Parkinson's Disease: From Molecules to Neural Networks

Parkinson's disease (PD) is a progressive neurodegenerative disorder caused by the death of dopaminergic neurons in the substantia nigra and appearance of protein aggregates (Lewy bodies) consisting predominantly of α-synuclein in neurons. PD is currently recognized as a multisystem disorder characterized by severe motor impairments and various non-motor symptoms. Cognitive decline is one of the most common and worrisome non-motor symptoms. Moderate cognitive impairments (CI) are diagnosed already at the early stages of PD, usually transform into dementia. The main types of CI in PD include executive dysfunction, attention and memory decline, visuospatial impairments, and verbal deficits. According to the published data, the following mechanisms play an essential role demonstrates a crucial importance in the decline of the motor and cognitive functions in PD: (1) changes in the conformational structure of transsynaptic proteins and protein aggregation in presynapses; (2) synaptic transmission impairment; (3) neuroinflammation (pathological activation of the neuroglia); (4) mitochondrial dysfunction and oxidative stress; (5) metabolic disorders (hypometabolism of glucose, dysfunction of glycolipid metabolism; and (6) functional rearrangement of neuronal networks. These changes can lead to the death of dopaminergic cells in the substantia nigra and affect the functioning of other neurotransmitter systems, thus disturbing neuronal networks involved in the transmission of information related to the regulation of motor activity and cognitive functions. Identification of factors causing detrimental changes in PD and methods for their elimination will help in the development of new approaches to the therapy of PD. The goal of this review was to analyze pathological processes that take place in the brain and underlie the onset of cognitive disorders in PD, as well as to describe the impairments of cognitive functions in this disease.

Modern Methods of Diagnostics and Treatment of Neurodegenerative Diseases and Depression

This paper discusses the promising areas of research into machine learning applications for the prevention and correction of neurodegenerative and depressive disorders. These two groups of disorders are among the leading causes of decline in the quality of life in the world when estimated using disability-adjusted years. Despite decades of research, the development of new approaches for the assessment (especially pre-clinical) and correction of neurodegenerative diseases and depressive disorders remains among the priority areas of research in neurophysiology, psychology, genetics, and interdisciplinary medicine. Contemporary machine learning technologies and medical data infrastructure create new research opportunities. However, reaching a consensus on the application of new machine learning methods and their integration with the existing standards of care and assessment is still a challenge to overcome before the innovations could be widely introduced to clinics. The research on the development of clinical predictions and classification algorithms contributes towards creating a unified approach to the use of growing clinical data. This unified approach should integrate the requirements of medical professionals, researchers, and governmental regulators. In the current paper, the current state of research into neurodegenerative and depressive disorders is presented.

Proteins of the Vesicular Cycle as a Marker of Neuroplasticity of Dopaminergic Neurons in the Substantia Nigra of the Brain

Nigrostriatal dopaminergic neurons (DNs), involved in the regulation of motor function, are characterized by a high plasticity. Indeed, at the death of up to 50% of DNs in Parkinson's disease, the survived neurons provide normal regulation. This study was aimed to determine whether the vesicle cycle proteins, syntaxin Ia (Syn Ia), synaptotagmin I (Syt I), Rab5a, and complexins I and II (Cmpx I and II) are involved in the mechanisms of neuroplasticity in the substantia nigra, which mainly contains cell bodies and processes of the DNs. In the neurotoxic models of Parkinson's disease in mice, it was shown that, at the degeneration of up to 50% of DNs, the content of Syt I, Syn Ia, and Cmpх I and II, involved in vesicle exocytosis, does not change in the substantia nigra as a whole but is compensatorily increased in individual survived DNs. Thus, the data obtained in this study suggest that the impairment of motor behavior, which occurs at the death of half of the nigrostriatal DNs, is not caused by the impairment of the production of vesicle cycle proteins in the survived DNs.

[Ophthalmic disorders as a manifestation of Parkinson's disease]

Parkinson's disease is a severe neurodegenerative disease accompanied with the degeneration of dopaminergic neurons in the central and peripheral nervous system. The diagnosis of Parkinson's disease can still be made only on the stage of irreversible and nearly total degeneration of the nigrostriatum dopaminergic system and exhaustion of brain compensatory mechanisms that explains the low efficacy of therapy. Ophthalmic pathology is one of the nonmotor symptoms of Parkinson's disease. This can be explained firstly by the fact that eye is a 'peripheral part of brain' and secondly by the involvement of dopaminergic neurons (dopamine-producing cells) that are subject to the selective degeneration during Parkinson's disease in the regulation of visual function in the eye and brain. Dopaminergic neurons and dopamine receptors are present in all structures of the eye. Parkinson's disease cause abnormalities not only in the retina but in the whole optic tract and can be considered as peripheral manifestations of the disease that precede the well-known motor dysfunctions. This review describes ophthalmological symptoms of Parkinson's disease, possible pathophysiological mechanisms of their development, optical disorders in experimental models of Parkinson's disease and also the perspectives of experimental and clinical studies of visual disorders for the development of preclinical diagnosis of Parkinson's disease.