4 articles
Thiosemicarbazones represent a class of organic compounds with well-documented pharmacological properties, including antitumor, antimicrobial, and antiviral activities. Contemporary research highlights their role in modulating cellular redox equilibrium through antioxidant pathway regulation. The growing interest in copper-based coordination complexes with thiosemicarbazones is driven by the unique redox flexibility and high biocompatibility of copper ions, properties that underlie their potential in therapeutic and diagnostic applications. This investigation assessed the capacity of specific local bioactive thiosemicarbazones to impact the antioxidant system using in vitro methodologies.
Peripheral blood samples from ten healthy volunteers were used to evaluate in vitro the influence of 10 copper-based coordination complexes with thiosemicarbazones at concentrations of 10.0 μM/L and 1.0 μM/L on antioxidant markers ‒ total antioxidant activity (via ABTS assay), total antioxidant capacity, antioxidant substance mass, and antioxidants total activity.
Data indicated that targeted copper-based coordination complexes with thiosemicarbazones affect general antioxidant markers. The study demonstrates that thiosemicarbazones exhibit concentration- and structure-dependent redox modulation, disclosing distinct mechanisms of action across three structural classes – benzothiazole, phenyl, and allyl thiosemicarbazone derivatives. Structural optimization (e.g., benzothiazole with methoxy groups) yields compounds like MG-22 that maintain redox equilibrium, while pro-oxidant variants (CMA-18) offer therapeutic potential through selective oxidative cytotoxicity.
Copper-based coordination complexes with thiosemicarbazones represent a promising class of redox modulators with tunable biological effects. Their bidirectional activity, manifested by stimulation or inhibition of antioxidant mechanisms, confirms the potential of these derivatives as selective therapeutic agents. When these results are integrated in the context of personalized medicine, thiosemicarbazones become valuable candidates in the development of therapeutic strategies aimed at maintaining cellular homeostasis, especially in pathologies characterized by increased oxidative stress, such as cancer and neurodegenerative diseases.
Age-related macular degeneration is a multifactorial, polyetiological condition, affecting individuals over the age of 50, primarily characterized by progressive and irreversible loss of central vision. In the pursuit of a deeper understanding of its etiopathogenesis, risk factors, associated biomarkers, and diagnostic metabolites, the omics approach plays an essential role. The primary objective of this study was to evaluate selected omics biomarkers along with hematological and clinical data and to establish their correlations with macular degeneration,
A pilot retrospective study was conducted, analyzing medical records of 80 patients admitted to the Ophthalmology Department of the Timofei Moșneaga Republican Clinical Hospital. Laboratory parameters were assessed and statistically analyzed using the Statistical Package for the Social Sciences. Statistical methods included binomial tests, Wilcoxon Signed-Rank tests, and One-sample tests. The data obtained were compared with the results of a comprehensive analysis of the latest scientific literature on age-related macular degeneration.
Omics approach analysis, particularly proteomic and metabolomic analyses, has contributed significantly to the identification of metabolic pathways involved in age-related macular degeneration pathogenesis, facilitating the investigation of novel biomarkers for early diagnosis and potential therapeutic targets. In our pilot study, we evaluated clinical and biochemical data, including age, sex, laboratory values, and comorbidities, and compared them with currently published research data. Statistically significant biomarkers identified included glucose, triglycerides, prothrombin, fibrinogen, platelet count, and leukocyte count. Partially significant (dual) biomarkers included total cholesterol, erythrocyte sedimentation rate, and lymphocyte count. No statistical significance was observed for HDL-cholesterol, LDL-cholesterol, and international normalized ratio.
Omics approach represents a promising avenue for monitoring, diagnosing, and potentially treating age-related macular degeneration. By identifying key biomarkers, this approach supports early detection and opens the path for advanced therapeutic strategies such as gene therapy, cell-based treatments, complement pathway inhibitors, and nanotechnology-based interventions.
Thrombosis is a frequently underdiagnosed condition associated with high mortality in neglected cases. Many factors, including geoheliophysical and biochemical ones, are responsible for thrombosis modulation. Routine investigations may sometimes be inconsistent and, thus, unreliable in a clinical setting.
Data were collected from patients treated in the Department of Vascular Surgery at the ‘Timofei Moșneaga’ Republican Clinical Hospital, Chișinău, Republic of Moldova. A total of 1,865 patients were initially included in the study. After applying rigorous inclusion and exclusion criteria, 263 eligible patients were identified, and their complete blood counts and biochemical reports were retrospectively analyzed.
The analysis revealed increased mean values for absolute polymorphonuclear neutrophils, absolute monocytes, erythrocyte sedimentation rate (ESR), and glucose. The median values of these indicators, except for absolute polymorphonuclear neutrophils and ESR in female patients, were also elevated above normal ranges. Significant Pearson and Spearman correlations were identified among the analyzed indicators, and a binary logistic regression model was constructed using the most statistically significant variables.
Usual mathematical models that outline thrombosis consider deep vein thrombosis without a sustainable arterial assessment. The sensitivity of our model is lower than that of the D-dimer, while the specificity is almost the same. Platelets and clotting tests are well-known, reliable indicators; however, novel contemporary augmentations to these may, in turn, increase the predictive capability of our model if applied. This study has its limitations due to the lack of variance in the variance inflation factors (VIF), preventing the evaluation of multicollinearity among the included biomarkers.
The mathematical model developed in this study shows potential for further clinical application; however, additional research, validation, and the incorporation of non-biochemical indicators may be necessary to enhance its predictive accuracy.
Arterial and venous thromboembolism is a disease with a high impact on morbidity and mortality. Their pathological mechanisms of aggregation directed by the clotting factors along with the variations in clinical manifestation are regarded to a high moiety of genetic polymorphisms along with a wide diversity of comorbidities.
A comprehensive literature review was conducted, which included a total of 119 sources. Among these, 60 sources were systematically collected, while the remaining 59 sources were selected through non-systematic methods.
We have identified different treatment options that regard both the venous or arterial thromboembolism in contrast with numerous pathogenetic outcomes, population groups along with biomarkers that significantly modify the clinical aspects of the therapeutical and post-clinical treatment aspect. At the moment its diagnosis is continuously improving worldwide, taking into consideration a high diversity of experts’ opinions with a wide practical experience.
Arterial and venous thromboembolisms are serious medical conditions that can be prevented and effectively managed with modern diagnostic and therapeutic techniques.