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Introduction. Anti-PD-1 immunotherapy (IT) is becoming the standard treatment for patients with metastatic melanoma. However, immune checkpoint inhibitors are only effective in a fraction of patients, and studies examining biological markers and their correlation with clinical efficacy are insufficient to draw unambiguous conclusions. Aim. To improve the outcomes of the first-line therapy for disseminated melanoma based on identifying clinical and immunohistochemical predictors of IT efficacy. Materials and methods. Data from 130 patients who were treated with immune checkpoint inhibitors (nivolumab or prolgolimab) in the first-line therapy for disseminated melanoma between 2017 and 2024 were analyzed. Results. Improvement was observed in 24 patients (18.4%): complete response in 18 patients (13.8%), partial response in 6 (4.6%), and stabilization in 71 (54.6%) patients. Progression was reported in 31 (24%) patients. Death occurred in 4 (3%) cases during IT with prolgolimab due to disease progression. The two-year disease-free survival (DFS) during IT was 53% (95% confidence interval [CI] 42–67), p=0.63; the median 2-year overall survival was not reached. In the immunohistochemical study, 47 (63.5%) patients had a predominance of tumor infiltration with CD8 lymphocytes over CD4, regardless of the IT type: 2-year DFS 82% (95% CI 70–96) vs 13% (95% CI 2.7–64) in the absence of CD8 predominance over CD4, p=0.0001; the median DFS was not reached in patients with the predominance of CD8 lymphocytes tumor infiltration over CD4 compared to the other group – 7.6 months in the absence of this feature (95% CI 5.8–0), p=0.001. The peritumoral location of the immune lymphoid infiltrate was observed in all 74 (100%) patients, and the intratumoral location was less common (52 patients, 70%). In the presence of both periand intratumoral location of the immune infiltrate, the 2-year DFS was 83% (95% CI 70–98) compared to the group of patients in whom no intratumoral location was detected – 5.5% (95% CI 0.8–36), p0.0001. The expression of programmed cell death ligand 1 (PD-L1) level 10% was observed in 47 (63.5%) patients. With this level of PD-L1 expression, the one-year DFS was 91% (95% CI 83–100) compared to 29% (95% CI 15–57) with a lower level of PD-L1 expression, p0.0001; the median DFS is reached, and in the group 2, DFS was only 6.6 months. In the case of PD-L110%, the 2-year DFS was high at 78% (95% CI 63–100), p0.0001. Conclusion. Based on the study's results, it can be assumed that immunohistochemical characteristics such as a PD-L1 expression level 10%, the simultaneous presence of periand intratumoral lymphoid tumor infiltration, and the predominance of CD8 over CD4 can be considered predictors of IT efficacy with nivolumab and prolgolimab.

Background. Post-registration observational studies with switching therapy from the original drug to a biosimilar for non-medical indications allow us to assess the safety and effectiveness of this type of switching in real clinical practice. Aim. Evaluation of the safety and effectiveness of non-medical switching from the original drug Keytruda® to the biosimilar drug Pembroria® in patients with various oncological pathologies in real clinical practice (REFLECTION). Materials and methods. A retrospective analysis of data from electronic medical records from 21 medical institutions of the Russian Federation for the period 2020–2023 was carried out. Data were included from patients with cancer of various locations who received at least 2 injections of Keytruda® followed by switching to Pembroria® for non-medical indications (at least 2 injections). Primary criteria: incidence of immune-mediated adverse reactions (ImARs) of any severity. Secondary indicators: incidence of ImARs of various degrees of severity and infusion reactions, frequency of objective response rate (according to RECIST 1.1 criteria). Results. The analysis included data from 382 patients (male/female 200/182, median age 62 years) with NSCLC (24.1%), RCC (23.3%), melanoma (20.4%) and cancer of other localization. Patients received Keytruda® on 1st and 2nd lines (54.2 and 25.4% of patients, respectively), on 3 or 4 lines (14.1%), or as part of adjuvant therapy (6.3%). 50.5% of patients received pembrolizumab as monotherapy. The median number of administrations was 7.0 and 5.0 for Keytruda® and Pembroria®, respectively. ImARs were registered in 44 (11.5%) patients (60 ImARs), including 40 ImARs in 35 (9.2%) patients while using Keytruda® and 20 ImARs in 17 (2.4%) patients with Pembroria®. The most common ImARs were hypothyroidism, hyperthyroidism, and hepatitis; the frequency of these ImARs was higher with Keytruda® (EAER for hypothyroidism 0.00422 and 0.00144, for hepatitis – 0.00124 and 0.00096, respectively). All 5 reported cases of hyperthyroidism in patients on Keytruda® (EAER 0.00124), were resolved before switching to Pembroria®. No infusion-related reactions or deaths due to ImARs have been reported. The objective response rate was comparable – 104 (32.6%) and 90 (29.2%) patients оn Keytruda® and Pembroria® therapy, respectively. Most patients maintained disease control after switching to Pembroria® [progression was recorded in 29 (9.4%) patients after switching to a biosimilar]. Conclusion. The safety profiles of Keytruda® and Pembroria® were satisfactory and comparable in this study. Switching from therapy with Keytruda® to Pembroria® is not accompanied by an increase in the frequency or severity of ImARs. Switching from Keytruda® to Pembroria® maintains disease control in most patients.

In the conditions of worsening global energy problems, financial instruments play a key role in reforming the energy market. They provide the necessary financial resources for the development and implementation of environmentally friendly energy technologies, aimed at supporting projects that reduce the negative impact on the environment, and contribute to attracting private capital to finance environmentally friendly projects. The purpose of this study is to analyze trends in research on financial instruments of the green energy transition. The article carries out a comprehensive bibliometric analysis of scientific works devoted to the problem of financing the green energy transition. The object of the research is the publications indexed by the Scopus database for 1954-2023. Research tools are programs for bibliometric data analysis Vosviewer, SciVal and CiteSpace. Based on the trend analysis of publication activity on the issues of financing the green energy transition, the key role of the Paris Agreement of 2015 in the growth of interest in these issues has been proven. Visualization of the most used keywords in scientific works on green energy transition financing allowed us to identify four clusters of keywords that characterize the concepts of green energy transition: the concept of "green construction", the concept of "green technologies and innovations", the concept of renewable energy, and the concept of "green of finance". Analysis of the frequency and number of citations of publications on green energy transition financing issues using the CiteSpace package made it possible to determine the TOP-17 keywords, highlight the period of their greatest citations, and carry out their clustering. Phrases most often used in publications include: finance, alternative economy, green bonds, green innovation, sustainable development, greenhouse gas emissions, sustainable finance, green credit, green economy, climate finance. Based on the analysis of relationships between keywords, seven clusters were identified: sustainable development, financing constraints, green bonds, green credit policy, green bonds, green economic growth, green economic recovery. The obtained results can be used by state institutions to improve financing strategies for green energy transition programs from the point of view of determining modern trends and key vectors of green finance development in the field of energy, analysis of the most effective financing tools, and identification of problems in the field of energy development.

Abstract Die von der russischen Fuhrung scheinheilig als „spezielle Militaroperation“ zum Schutz der russischsprachigen Bevolkerung bezeichnete Militarinvasion in der Ukraine ab dem 24.2.2022 stutzt sich auf den massiven Einsatz russischer Propaganda, das Verschweigen oder Verdrehen von Tatsachen, das Begehen von Verbrechen gegen die Menschlichkeit und Kriegsverbrechen durch die Soldaten der Russlandischen Foderation (RF). Die Kombination aus Hass, Grausamkeit und Gewalt gegen das ukrainische Volk, die es seit dem Zweiten Weltkrieg nicht mehr gab, hat Wissenschaftler und Politiker veranlasst, den Russismus als eine neue Richtung der faschistischen Ideologie unter der Fuhrung Putins zu diskutieren. Da die ukrainische Nation seit langem die „volle Existenz“ des russischen Staates behindert, hat die Aggression gegen die Ukraine den Russismus in ein Mantra dieses verbrecherischen Krieges verwandelt, das propagiert wird, um den Status der RF als Supermacht zu erneuern und in Zukunft alle ihre “ursprunglichen Territorien” zu erobern.

An approach is proposed to determine the concentrations of active components in a thermodynamic type inhibitor based on its infrared spectrum. The relevance of the proposed method is due to its expressiveness and high degree of selectivity in comparison with traditional approaches for determining the quantitative composition of solutions of organic compounds. It is proposed to use the method of infrared spectrometry with Fourier transform. The method allows you to determine the concentrations of substances in solutions. However, the determination of concentrations of substances in mixtures containing more than three components is complicated, especially in solutions of organic compounds due to the presence of overlapping oscillation regions of characteristic groups. To solve the problem of determining the concentration of substances in multicomponent solutions, the regression method of projection onto latent structures was used, which belongs to chemometric analysis methods and has become widespread as a method of quantitative forecasting. The sample for the construction of calibration dependencies within the framework of the method used included the spectra of solutions obtained in the mode of disturbed total internal reflection. Models have been constructed to determine the concentrations of substances in a four-component aqueous alcohol solution. Substances to be determined: water, methanol, ethanol, ethylene glycol. The effectiveness of the constructed mo dels with a training sample, including spectra of samples with minimal preprocessing — correction of the baseline, has been confirmed. The optimal set of training samples has been determined to obtain a result with the minimum possible error, provided that the component content of the samples in the training sample does not exceed n – 1, where n is the determined amount of substances. Training the model on a sample consisting of spectra of two- and three-component solutions provides prediction of the concentration of substances with an error of up to 10 %. The proposed method will allow rapid analysis of the composition of thermodynamic inhibitors of hydrate formation. The results of the work can be used in oilfield chemistry to assess the inhibitory ability of hydrate formation inhibitors used to prevent the formation of gas hydrates during the extraction, preparation or transportation of hydrocarbons.

The purpose of this paper is to identify the peculiarities of banks’ business models and assess their risks, which is especially relevant in the context of the war in Ukraine since 2014. The information base is the published statements for each month of 63 Ukrainian banks for the period from 1 January 2018 to 1 January 2024. The number of indicators is chosen in an empirical manner. Business models are investigated using the method of structural-functional groups of banks, which allows estimating large arrays of financial indicators, grouping banks with similar characteristics and drawing conclusions about the main risks. It is convenient to use neural networks, namely Kohonen’s self-organizing maps, to estimate large data sets. The largest group of banks places a significant part of assets in government securities and has an unstable resource base. The share of these banks in the system as of January 1, 2024 is 38% and total assets are 10%. The second group by number of banks is focused on corporate lending with a high share of current resources in liabilities, and includes 21% of banks, whose assets account for 31% of total assets. State-owned banks, PrivatBank and OschadBank, account for 35% of total assets. The business models of these banks are characterized by dependence on retail funds, a high share of investment operations, and high credit and currency risks. Ukraine’s banking system has significantly developed a risk-oriented approach to management, which allowed it to maintain stability in the face of a full-scale war.

Endometriosis affects about 10% of women of reproductive age and can negatively impact their quality of life (QoL). Due to the heterogeneity of symptoms or even their absence, early diagnosis is difficult. Therefore, it is necessary to comprehensively assess the patient's complaints, including a thorough review of medical history, the results of imaging studies, and risk factors for endometriosis. Early diagnosis enables preemptive treatment and avoids surgical intervention. The article presents data on managing patients with endometriosis in outpatient settings, describing methods for non-invasive imaging diagnosis of endometriosis. Current options of pharmacotherapy aimed at controlling the development of the disease and improving the QoL of patients in the long term are addressed. Timely initiated drug treatment improves the QoL of patients, in some cases, leads to a regression of the lesions, and improves the prognosis for the reproductive function. A shift in focus to clinical diagnosis, combined with non-invasive imaging, shortens the time between the first consultation and the final diagnosis. According to the current view of Russian and international professional societies, therapy should be long-term; therefore, selecting treatment with predictable responses and monitoring the course of the disease is necessary.

Abstract This paper examines Russia’s propaganda discourse on Twitter during the 2022 invasion of Ukraine. The study employs network analysis, natural language processing (NLP) techniques, and qualitative analysis to identify key communities and narratives associated with the prevalent and damaging narrative of “fascism/Nazism” in discussions related to the invasion. The paper implements a methodological pipeline to identify the main topics, and influential actors, as well as to examine the most impactful messages in spreading this disinformation narrative. Overall, this research contributes to the understanding of propaganda dissemination on social media platforms and provides insights into the narratives and communities involved in spreading disinformation during the invasion.

Background. Type 2 diabetes mellitus (DM) remains the most common type of DM and is associat-ed with disabling complications, reduced quality of life and reduced life expectancy. Satisfactory control of carbohydrate metabolism remains the key way to manage them. Aim. To perform a retrospective analysis of carbohydrate metabolism (in terms of glycated hemoglobin – HbA1c), the prevalence of complications, and features of hypoglycemic and concomitant therapy in patients with type 2 DM. Materials and methods. The analysis of sex and age characteristics, achieved level of HbA1c, diabetes complications, sugar-reducing and concomitant therapy according to the data of outpatient records of the patients who are on dispensary registration with an endocrinologist in the Endocrinology Department of the Consultative and Diagnostic Polyclinic of the Tomsk Regional Clinical Hospital in Tomsk was carried out. Results. 546 outpatient medical records of patients with type 2 DM were analysed, among which there were 39.6% men (n=216) with a history of type 2 DM 8.0 years [3.0; 13.0] , median age 64.0 years [54.5; 71.0] and 60.4% women (n=330), history of type 2 DM 10.0 years [5.0; 15.0], median age 70.0 years [63.0; 75.0]. The achieved HbA1c level in men was 7.6% [6.3; 9.0] and in women 7.4% [6.4; 9.1]. 19.4% of men and 13.6% of women had an aggravated history of type 2 DM. According to the history, 6.5% of men (n=14) and 3% of women (n=10) with type 2 DM had a history of stroke, and myocardial infarction 12% (n=26) and 1.5% (n=5), respectively. Among the analysed outpatient records of type 2 DM patients, 18.5% of men (n=40) and 12.4% of women (n=41) were found to have diabetic nephropathy. Diabetic retinopathy was reported in 9.3% (n=20) of men and 4.2% (n=14) of women. Diabetic macroangiopathies were detected in 29.6% (n=64) of males and 9.7% (n=32) of females. Among other chronic complications of DM, diabetic neuroosteoarthropathy was recorded in 1% (n=2) of males and 3% (n=10) of females, diabetic polyneuropathy in 25% (n=54) and 21.5% (n=71), respectively. Diabetic foot was diagnosed in 1.9% (n=4) of men and 1.8% (n=6) of women. Among comorbid pathology, obesity was diagnosed in 45.4% (n=88) of men and 69.1% (n=228) of women, dyslipidaemia in 10.2% (n=22) and 10.6% (n=35) respectively, hypertension in 39.8% (n=86) and 32.6% (n=108) of cases. The diagnosis of non-alcoholic fatty liver disease was verified in 3.7% of men (n=7) and 1.8% of women (n=6), chronic heart failure in 7.4% of men (n=16) and 2.4% of women (n=8) registered for type 2 DM. According to the analysed outpatient records, 4.1% (n=23) of patients received diet therapy, 48.3% (n=263) received monotherapy and 47.6% (n=260) received combination therapy for type 2 DM. Metformin was the most commonly used monotherapy for type 2 DM 36.1% (n=197), followed by insulin 6.9% (n=38), sulfonylurea derivatives – 2.7% (n=15). Combination of metformin and dipeptidyl peptidase-4 inhibitors (13.9%) was the most commonly used combination therapy. Conclusion. Analysis of the current situation in the diabetology service will help to identify weaknesses and strengths, which is necessary to optimise existing therapeutic approaches in accordance with current clinical recommendations.

Using Virtual Reality (VR) in educational contexts is becoming increasingly common. The ability of VR to provide authentic learning experiences is making it a particularly promising platform for language learning, but the research on its acceptance among language teachers is scarce. This paper reports the results obtained from a large-scale (N = 2,176) survey on language teachers' beliefs toward the use of VR for education. The survey explored the relationships between language teachers' beliefs about using VR in a classroom and their teaching experiences, such as previous use of VR for teaching, their stages of VR technology integration, and their preferred teaching approaches. Furthermore, the survey yielded answers on the relationship between the availability of information technology (IT) personnel in language teachers' schools. We found that practical knowledge and past experiences of incorporating VR in teaching were crucial determinants of teachers' positive beliefs, showing that teachers were motivated to adopt VR technology in their classrooms if they had previously used it. Language teachers' favorable beliefs were also positively correlated with the availability of IT personnel in their schools.

The purpose of the research was to adapt the Academic Motivation Scale in the context of investigating students' motivation to study physical education and sports, including the assessment of psychometric properties and experimental validation of the model tool. In this study, a combination of quantitative and qualitative research methods was used. After comparison with alternatively possible models, the seven-factor model showed the highest correspondence. The test-retest factors were above 0.7 for all subscales, indicating high reliability of the questionnaire. The analysis of the participants' results revealed that the highest indicators were for extrinsic and identified regulation and internal motivation related to knowledge acquisition. The obtained version of the Academic Motivation Scale is a valid instrument and has acceptable psychometric properties and can be used to study the learning motivation of university students, in particular future specialists in physical education and sports.

ABSTRACT Objective This pilot study investigated whether single nucleotide polymorphisms (SNP) in the NOX5 gene (NADPH oxidase 5) are associated with the type 2 diabetes (T2D) risk. Subjects and methods A total of 1579 patients with T2D and 1627 age- and sex-matched healthy subjects were recruited for this study. Genotyping of common SNPs, namely rs35672233, rs3743093, rs2036343, rs311886, and rs438866, was performed using the MassArray-4 system. Results SNP rs35672233 was associated with an increased risk of T2D (OR = 1.67, 95% CI 1.29-2.17, FDR = 0.003). The H3 haplotype (rs35672233T-rs3743093G-rs2036343A-rs311886C-rs438866C) increased T2D risk (OR = 1.65, 95% CI 1.27-2.13, FDR = 0.001). The rs35672233 polymorphism and H3 haplotype were found to have an association with T2D risk only in subjects with a body mass index greater than 25 kg/m2 (FDR < 0.01). Environmental risk factors, such as chronic psycho-emotional stress, sedentary lifestyle, high-calorie diet and SNP rs35672233 were jointly associated with T2D susceptibility. A haplotype comprising the allele rs35672233-C and conferring protection against T2D, was associated with elevated levels of antioxidants such as total glutathione and uric acid, as well as reduced levels of two-hour postprandial glucose in the plasma of patients. The NOX5 polymorphisms showed no associations with diabetic complications. Conclusion The present study is the first to establish associations between polymorphisms in NOX5 and the risk of type 2 diabetes mellitus, and provides a new line of evidence for the crucial role of oxidative stress-related genes in disease susceptibility.

The principles of the Venice Charter are still invoked worldwide as a crucial reference point in discussions and practices related to heritage preservation. However, the Charter’s lack of clarity in defining stakeholders and procedural steps raises significant issues about who has the authority to determine the appropriateness of new functions for monuments. This deficiency can lead to decision-making that might not fully consider the diverse cultural values and historical significance of the sites, potentially resulting in conservation outcomes that are more economically than socially driven. This paper examines how national and international conservation policies have expanded upon the Venice Charter to address social participation and the concept of "socially useful purposes" in World Heritage site management. Focusing on Germany and Poland World Heritage cities, the study explores how national and international guidelines have expanded upon the Venice Charter to incorporate social participation and the concept of "socially useful purposes" in the management of World Heritage sites. It delves into the role of Site Management Plans as dynamic documents that have evolved from strict preservation frameworks to policies encompassing social participation, thereby enhancing community engagement and meeting a broader spectrum of conservation needs and stakeholder interests.

This study investigates the optimization of Laser Powder Bed Fusion (LPBF) process parameters to enhance the mechanical properties of the Russian Ni superalloy VZh159 (a close analogue of IN718) material that is commonly used in critical aerospace applications, and the corresponding studies of the grain structure within and near the melt pool formed by a single laser scan line. Through a factorial experimental approach, the influence of laser power and scanning speed on the tensile strength, yield strength, and ductility was determined. Metallurgically sound samples (based on hydrostatic weighing data and microscopy, with practically no pores detected) were obtained with nine combinations of power and scanning speed, showing significant variation in the tensile strength (in the 1,040–1,220 MPa range) and yield strength (in the 560–1,100 MPa range), which correlated with the cross-sectional area of the single scan line (for example, the depth of the melt pool varied in the range 410–530 µm), while the average grain size (deduced from Electron Backscatter Diffraction (EBSD) images) remained statistically unchanged. Key findings indicate that the optimal LPBF parameters are a laser power of 250 W, a scanning speed of 600 mm/s, and a hatch distance of 0.12 mm, which together yield the best combination of high tensile strength and ductility. This study provides new insights into the effects of LPBF parameters on the microstructure, particularly the formation of the γ′ strengthening phase and its correlation with mechanical performance. The research addresses a critical gap in understanding the relationship between LPBF processing conditions and the resulting microstructural and mechanical properties, offering potential improvements in manufacturing efficiency and material performance.

Canada is the longest user of online voting in municipal elections and has primarily used non-verifiable systems, raising concerns about the integrity of election results and public and administrator confidence in the process. In the 2022 Ontario municipal elections, 9% of municipalities offered online voters the option of individual verifiability. To better understand the considerations and challenges of introducing verifiability mechanisms in local elections, this article explores municipal administrators' perceptions and understanding of verifiable online voting through three focus groups with local governments in Ontario, Canada: (1) users of verifiable online voting systems,(2) users of non-verifiable systems, and (3) those without online voting. We find deeper reasonings for selecting non-verifiable online voting systems, such as administrators' perceptions of voters' needs and the perceived value of transparency. To enhance the adoption of verifiable online voting, the article suggests promoting the value and meaning of verifiability among all stakeholders.

The study aims to develop and evaluate scenarios for implementing a digital multi-level financial and economic relations transparency model, which covers public, corporate, and personal finances. The study aims to identify key factors affecting the level of transparency, assess the consequences of implementing the model, and develop strategic recommendations to improve the efficiency of financial resource management and strengthen trust between market participants. The study's main results include the definition of three model development scenarios: optimistic, pessimistic, and realistic. Each scenario considers the specifics of public, corporate, and personal finance and reflects different levels of influence of key factors such as technological readiness, government support, and market participants' adaptation to changes. The implications of each scenario were assessed, including the potential benefits, risks, and challenges associated with implementing the model at different levels of finance. The study's main conclusions confirm that the digital multi-level model of transparency is an effective tool for increasing the transparency of financial and economic relations, reducing risks, and improving management efficiency. Implementing the model contributes to increasing trust in state institutions, improving corporate governance, and protecting the rights of consumers of financial services. Scenario forecasting makes it possible to adapt the model's implementation strategies to the changing conditions of the external environment, which contributes to its stability and successful integration into the financial system. The study also identifies directions for further research, including assessing the impact of individual digital technologies, developing new methods for monitoring transparency, and exploring barriers and incentives for implementing the model across industries and regions.

Northern peatlands store up to 25% of global soil organic carbon and function as important hotspots for biodiversity. However, they are facing degradation from climate change driven by human activities as well as anthropogenic land use changes, up to the point of endangering the ecosystems' functioning and the storage of soil organic carbon entailed within them. The surface vegetation of northern peatlands is an important indicator of the ecosystem's functioning and ecohydrology, highlighting the importance of its large-scale, continuous monitoring. Approaches utilizing hyperspectral data for monitoring vegetation health and species composition can also be applied to peatland vegetation. To support the development of methods for interpreting hyperspectral satellite data from peatlands, we conducted a comprehensive in situ study of hemiboreal, boreal, sub-Arctic and Arctic peatland vegetation. We measured the reflectance spectra (350–2500 nm), soil moisture, and various vegetation-related attributes from a total of 446 vegetation plots in Estonia and Finland, from a 1500 km south-north interval. We then investigated (i) the spectral variation in surface vegetation of hemiboreal, boreal, sub-Arctic and Arctic peatlands and (ii) explored its connection to plant functional types (PFTs) and soil moisture, as well as evaluated the potential of hyperspectral data in estimating PFT cover using simple vegetation indices and partial least square (PLS) regression. Our results indicate that (i) the best spectral regions to retrieve information regarding the PFT vary greatly especially between vascular plants and bryophytes, (ii) the reflectance at an individual wavelength as well as simple vegetational index can, to some extent, predict the PFT, and that (iii) the PLS regression can predict the PFT with good accuracy. Overall, our findings demonstrate the potential of using hyperspectral data in monitoring PFTs in northern peatlands. The spectral library and the ancillary data from the peatland sites collected for this study are available as open data.

Dolphins are aquatic mammals, whose role in microbial ecology is not fully understood. It is critical to study the microbiota of dolphins kept in captivity, as close contact with humans could unpredictably affect both human and animal health. In this study, we investigated the gut microbiota of 15 captive common bottlenose dolphins, and the relationship of microbial diversity and composition with animals’ age, sex, birthplace (dolphinarium or wildlife), and direct contacts with dolphinarium visitors using high-throughput V3-V4 16S rRNA amplicon sequencing. Based on acquired sequencing data we calculated and compared alpha and beta diversity indexes, as well as conducted differential abundance analysis of identified bacterial taxa to find multivariable associations with dolphins’ age period, sex, birthplace, and type of contact with humans with linear models. There was no association between gut microbiota composition and diversity and dolphins’ age period, sex, and birthplace. However, there were significant differences (q-value ≤ 0.00018) in the relative abundance of Edwardsiella genus in dolphins that were in contact only with dolphinarium staff in comparison to dolphins that apart from dolphinarium staff also had contact with dolphinarium visitors. These results show that dolphins born in wildlife and dolphinariums do not have significant differences in gut microbiota composition and the microbiota of captive dolphins can be affected by their contact with humans.