Activity of β-galactosidase at pH 6 is a classic maker of senescence in cellular biology. Cellular senescence, a state of highly stable cell cycle arrest, is often compared to apoptosis as an intrinsic tumor suppression mechanism. It is also thought that SA-β-gal is crucial in malignant cell transformation. High levels of senescence-associated β-galactosidase (SA-β-gal) can be found in cancer and benign lesions of various localizations making the enzyme a highly promising diagnostic marker for visualization of tumor margins and metastases. These findings facilitate the research of therapy induced senescence as a promising therapeutic strategy. In this review, we address the need to collect and analyze the bulk of clinical and biological data on SA-β-gal mechanisms of action to support wider implementation of this enzyme in medical diagnostics. The review will be of interest to pathologists, biologists, and biotechnologists investigating cellular senescence for purposes of regenerative medicine and oncology.

The analysis of the microvasculature and the assessment of angiogenesis have significant prognostic value in various diseases, including cancer. The search for invasion into the blood and lymphatic vessels and the assessment of angiogenesis are important aspects of oncological diagnosis. These features determine the prognosis and aggressiveness of the tumor. Traditional manual evaluation methods are time consuming and subject to inter-observer variability. Blood vessel detection is a perfect task for artificial intelligence, which is capable of rapid analyzing thousands of tissue structures in whole slide images. The development of computer vision solutions requires the segmentation of tissue regions, the extraction of features and the training of machine learning models. In this review, we focus on the methodologies employed by researchers to identify blood vessels and vascular invasion across a range of tumor localizations, including breast, lung, colon, brain, renal, pancreatic, gastric and oral cavity cancers. Contemporary models herald a new era of computational pathology in morphological diagnostics.

Renal cell carcinoma is a significant health burden worldwide, necessitating accurate and efficient diagnostic methods to guide treatment decisions. Traditional pathology practices have limitations, including interobserver variability and time-consuming evaluations. In recent years, digital pathology tools emerged as a promising solution to enhance the diagnosis and management of renal cancer. This review aims to provide a comprehensive overview of the current state and potential of digital pathology in the context of renal cell carcinoma. Through advanced image analysis algorithms, artificial intelligence (AI) technologies facilitate quantification of cellular and molecular markers, leading to improved accuracy and reproducibility in renal cancer diagnosis. Digital pathology platforms empower remote collaboration between pathologists and help with the creation of comprehensive databases for further research and machine learning applications. The integration of digital pathology tools with other diagnostic modalities, such as radiology and genomics, enables a novel multimodal characterization of different types of renal cell carcinoma. With continuous advancements and refinement, AI technologies are expected to play an integral role in diagnostics and clinical decision-making, improving patient outcomes. In this article, we explored the digital pathology instruments available for clear cell, papillary and chromophobe renal cancers from pathologist and data analyst perspectives.

The formation of a dense fibrous capsule around the foreign body and its contracture is the most common complication of biomaterial implantation. The aim of our research is to find out how the surface of the implant influences the inflammatory and fibrotic reactions in the surrounding tissues. We made three types of implants with a remote surface topography formed of polylactide granules with different diameters: large (100–200 µm), medium (56–100 µm) and small (1–56 µm). We placed these implants in skin pockets in the ears of six chinchilla rabbits. We explanted the implants on the 7th, 14th, 30th and 60th days and performed optical coherence tomography, and histological, immunohistochemical and morphometric studies. We examined 72 samples and compared the composition of immune cell infiltration, vascularization, the thickness of the peri-implant tissues, the severity of fibrotic processes and α-SMA expression in myofibroblasts. We analyzed the scattering coefficient of tissue layers on OCT scans. We found that implants made from large granules induced a milder inflammatory process and slower formation of a connective tissue capsule around the foreign body. Our results prove the importance of assessing the surface texture in order to avoid the formation of capsular contracture after implantation.

The quality of soft tissue defect regeneration after dental surgeries largely determines their final success. Collagen membranes have been proposed for the healing of such defects, but in some cases, they do not guarantee a sufficient volume of the regenerated tissue and vascularization. For this purpose, lactoferrin, a protein with natural pro-regenerative, anti-inflammatory, and pro-angiogenic activity, can be added to collagen. In this article, we used a semipermeable barrier-assisted electrophoretic deposition (SBA-EPD) method for the production of collagen–lactoferrin membranes. The membrane structure was studied by SEM, and its mechanical properties were shown. The lactoferrin release kinetics were shown by ELISA within 75 h. When tested in vitro, we demonstrated that the collagen–lactoferrin membranes significantly increased the proliferation of keratinocytes (HaCaT) and fibroblasts (977hTERT) compared to blank collagen membranes. In vivo, on the vestibuloplasty and free gingival graft harvesting models, we showed that collagen–lactoferrin membranes decreased the wound inflammation and increased the healing rates and regeneration quality. In some parameters, collagen–lactoferrin membranes outperformed not only blank collagen membranes, but also the commercial membrane Mucograft^®. Thus, we proved that collagen–lactoferrin membranes produced by the SBA-EPD method may be a valuable alternative to commercially used membranes for soft tissue regeneration in the oral cavity.

Introduction. Along with the generally accepted thermal methods of saphenous varicose veins ablation, the use of non-thermal and combined methods becomes attractive. Due to the variety of mechanisms of action, low-frequency ultrasound is a promising technology for performing a wide range of minimally invasive intravascular operations, including the treatment of varicose veins. Aim. To elucidate the mechanism of action of a novel endovenous ultrasound ablation method and evaluate its effect on vein wall injury and lumen occlusion in an animal model. Materials and methods. A total of 34 central ear vein (CEV) medial ramus were treated in 17 rabbits according to the follow-up protocol. Six femoral veins from three rabbits enrolled into the acute experiment were harvested 45 min after the procedure. All treated CEV medial ramus in the follow-up experiment were divided into four treatment groups with an observation time of: (0) 30 days, control procedure; (1) 60 days, ultrasound ablation; (2) 95 days, ultrasound ablation; (3) 138 days, ultrasound ablation. Results. Occlusion was achieved in all but one CEV medial ramus (29/30; 97%) treated with ultrasound. Histologic examination of treated veins showed heat- and mechanical-induced changes in the vein wall, such as abrasion of the endothelium and fibrotic lesions in the tunica media and tunica adventitia. The occluded segments consisted mainly of cellular fibrotic material. In the acute group, histological evidence of damage to all vessel wall layers was found. Discussion. Ultrasound ablation results in homogeneous and uniform damage to the venous wall. The results of this study suggest that the ultrasound treatment leads to venous occlusion by the additive thermomechanical mechanism of damage to the vessel wall. Conclusions. Endovenous ultrasound ablation showed a similar pattern of thermal damage as endovenous laser (EVLA) and radiofrequency ablation (RFA) and damage to the endothelium as mechanochemical ablation (MOCA). Four months after ultrasound ablation, the occlusion rate was 90%.