Impaired wound healing is one of the unsolved problems of modern medicine, affecting patients’ quality of life and causing serious economic losses. Impaired wound healing can manifest itself in the form of chronic skin wounds or hypertrophic scars. Research on the biology and physiology of skin wound healing disorders is actively continuing, but, unfortunately, a single understanding has not been developed. The attention of clinicians to the biological and physiological aspects of wound healing in the skin is necessary for the search for new and effective methods of prevention and treatment of its consequences. In addition, it is important to update knowledge about genetic and non-genetic factors predisposing to impaired wound healing in order to identify risk levels and develop personalized strategies for managing such patients. Wound healing is a very complex process involving several overlapping stages and involving many factors. This thematic review focuses on the extracellular matrix of the skin, in particular its role in wound healing. The authors analyzed the results of fundamental research in recent years, finding promising potential for their transition into real clinical practice.

Background: Patients with schizophrenia have an increased risk of depressive disorders compared to the general population. The comorbidity between schizophrenia and depression suggests a potential coincidence of the pathophysiology and/or genetic predictors of these mental disorders. The aim of this study was to review the potential genetic predictors of schizophrenia and depression comorbidity. Materials and Methods: We carried out research and analysis of publications in the databases PubMed, Springer, Wiley Online Library, Taylor & Francis Online, Science Direct, and eLIBRARY.RU using keywords and their combinations. The search depth was the last 10 years (2010–2020). Full-text original articles, reviews, meta-analyses, and clinical observations were analyzed. A total of 459 articles were found, of which 45 articles corresponding to the purpose of this study were analyzed in this topic review. Results: Overlap in the symptoms and genetic predictors between these disorders suggests that a common etiological mechanism may underlie the presentation of comorbid depression in schizophrenia. The molecular mechanisms linking schizophrenia and depression are polygenic. The most studied candidate genes are GRIN1, GPM6A, SEPTIN4, TPH1, TPH2, CACNA1C, CACNB2, and BCL9.Conclusion: Planning and conducting genome-wide and associative genetic studies of the comorbid conditions under consideration in psychiatry is important for the development of biological and clinical predictors and a personalized therapy strategy for schizophrenia. However, it should be recognized that the problems of predictive and personalized psychiatry in the diagnosis and treatment of schizophrenia and comorbid disorders are far from being resolved.

The purpose of this review is to analyze approaches to the treatment of depressive and negative disorders in schizophrenia in terms of their level of efficacy and safety. Materials and Methods: A search was conducted for full-text articles published over the last 10 years in PubMed, Springer, Wiley Online Library, Taylor & Francis Online, APA PsycInfo, CORE, Science Direct, and eLIBRARY.RU databases. Several articles published previously to this period were also included into the review due to their high scientific value. Results: Our review suggests that antidepressants (ADs) are effective medications and they can be prescribed to correct depressive disorders and negative symptoms in patients with schizophrenia when used in combination with antipsychotics (АPs). However, when administering ADs and АPs combinations, it is important to consider the safety profile of these combinations as well as their tolerance. Negative symptoms of schizophrenia, including those induced by a number of АP, are less amenable to correction by АDs monotherapy, which requires a long period of АPs (on average - 8 weeks), which can be limited in the real life of the patient outside the hospital. Current approaches to the therapy of depressive disorders in patients suffering from schizophrenia vary from country to country. However, most of АDs used in clinical psychiatric practice are widely used in the comorbid state under consideration. Conclusion: The efficacy and safety of АDs of the different classes considered in this review depends on their mechanisms of action, duration of admission, type of АPs taken, and specific clinical situation (acute depressive disorder, major depressive episode, or chronic depressive episode). Most promising in clinical practice are serotonin–norepinephrine reuptake inhibitors (SNRIs) and dual ADs. The use of tricyclic antidepressants (TCAs) is limited due to a higher risk of adverse drug reactions (ADRs). The use of most selective serotonin reuptake inhibitors (SSRIs) is limited due to the risk of aggravation of hallucinations (this risk being higher for patients with visual hallucinations, and lower for those with auditory hallucinations) and\or iatrogenic psychosis. These ADRs may probably occur in patients suffering from schizophrenia due to their ideal "poor metabolizer" pharmacogenetic profile, since most of the drugs considered in this review have hepatic metabolism.

Dupuytren's disease (DD) is a common multifactorial disease accompanied by deformity of the hand with flexion contracture of one or more fingers, limitation of their mobility and a fixed lesion. This disease refers to disorders of the connective tissue. Objective: to generalize the results of studies of environmental risk factors for DD and update existing ideas about modifiable and non-modifiable predictors of the disease in adults. Methods. We searched for full-text English-language publications in the PubMed, Springer, Scopus, Clinical Keys, Oxford Press, Google Scholar, eLIBRARY. Results. The most significant modifiable predictors of the development of DD include (top 5): occupation; hobby; lifestyle; comorbid diseases; drugs. Non-modifiable predictors include (top 5): gender; age; ethnos; race; genetics. Genetic predictors of DD are not well understood, but the number of candidate genes responsible for the development of DD is increasing and reaches the top 50 or more candidate genes with a statistically significant association with the risk of developing DD in adults. The most studied candidate genes are DUPC1, MMP2, MMP9, TIMP1, TIMP2, WNT4, WNT7B. Discussion. Primary and secondary prevention of DD requires accounting of the mutual influence of modifiable and non-modifiable predictors in the disease development, as well as a personalized approach in planning and choosing non-surgical and surgical treatment, as well as the carriage of single nucleotide variants (SNVs) candidate genes associated with the development of DD. A promising direction in the prevention of disabling complications of DD may be the development of decision-making information programs (personalized algorithms) that take into account non-genetic and genetic predictors in a particular person, and their implementation in real clinical practice. Conclusion. Large multicenteral studies of the influence and mutual influence of modifiable and non-modifiable predictors with a single design are required in the future.