Search Results (5,115)

Spatholobus suberectus, a valuable Chinese medicinal plant, faces habitat shifts under climate change. In order to better utilize the medicinal properties of S. suberectus and conduct further investigations, this study utilized the Biomod2 ensemble model to predict and analyze the potential expansion and contraction of suitable habitat areas for S. suberectus in China under changing climatic and environmental conditions. The results showed that, compared to the pre-screened models, the ensemble model significantly improved the prediction accuracy. Currently, S. suberectus is primarily distributed in southern China. Under the projected scenarios of SSP1-2.6, SSP2-4.5, and SSP5-8.5, its suitable habitat is expected to expand overall, with the increased areas concentrated mainly in southwestern, central, and eastern China. As climatic factors shift, the high-suitability center of S. suberectus is predicted to shift slightly southward under the SSP1-2.6 scenario, while under the SSP2-4.5 and SSP5-8.5 scenarios, it is projected to move northwestward. In the future, it will be necessary to optimize the warm and humid growth environment for cultivated S. suberectus in China. Meanwhile, wild S. suberectus populations should be closely monitored for the impact of climate change to prevent potential partial reductions in suitable habitats, thereby ensuring ecological balance and sustainable development. Full article

Therapeutic phlebotomy remains a key intervention in the management of erythrocytosis and iron overload disorders, particularly polycythemia vera (PV) and hereditary hemochromatosis. Despite its historical origins as an ancient practice, venesection continues to be recommended in international guidelines for the reduction of hematocrit and iron burden, thereby mitigating thrombotic and organ-related complications. However, the evolving landscape of targeted pharmacologic therapies is reshaping the therapeutic paradigm. This review examines the current role of therapeutic phlebotomy, with a particular focus on PV, outlining its physiological rationale, clinical benefits, and well-documented limitations—including iron deficiency, procedural burden, and incomplete hematocrit control between sessions. Comparative insights are provided between phlebotomy and red cell apheresis, highlighting differences in efficacy, tolerability, and accessibility. The emergence of disease-modifying agents—such as interferons, JAK inhibitors, hepcidin mimetics, and epigenetic modulators like givinostat and bomedemstat—promises more sustained hematologic control with the potential to reduce or eliminate the need for repeated phlebotomies. While phlebotomy remains indispensable in early-stage or low-risk PV, its future utility will likely shift toward complementary or bridge therapy in the context of individualized, pharmacologically driven strategies, redefining the role of phlebotomy in the era of precision medicine. Full article

In this study, bone detection was performed using the YOLO algorithm on a dataset comprising photographs of the scapula, humerus, and femur from cattle, horses, and dogs. Subsequently, convolutional neural networks (CNNs) were employed to classify both the bone type and the species. Trained on a total of 26,148 images, the model achieved an accuracy rate of up to 97.6%. The system was designed to operate not only on mobile devices but also in an offline, “closed model” version, thereby enhancing its applicability in forensic medicine settings where data security is critical. Additionally, the application was structured as a virtual assistant capable of responding to users in both written and spoken formats and of generating output in PDF format. In this regard, this study presents a significant example of digital transformation in fields such as veterinary anatomy education, forensic medicine, archaeology, and crime scene investigation, providing a solid foundation for future applications. Full article

Background/Objectives: Chemotherapy is an aggressive form of oncological treatment often accompanied by numerous adverse effects. A patient’s baseline status significantly influences the course of therapy, its efficacy, quality of life, and overall survival. This review aims to analyze the published peer-reviewed studies in this area and to assess whether they permit the formulation of preliminary recommendations for future prehabilitation protocols. Methods: An integrative review was conducted due to the limited number of relevant studies. Four databases—MEDLINE/PubMed (Medical Literature Analysis and Retrieval System Online/National Library of Medicine), Scopus, Cochrane, and Web of Science—were systematically searched for English-language articles published between 2010 and 13 January 2025, using the terms “prehabilitation,” “chemotherapy,” “drug therapy,” and “neoadjuvant.” A total of 162 records were retrieved. After duplicate removal, titles and abstracts were screened. The remaining papers were subjected to detailed analysis, resulting in ten studies with diverse methodologies being included. Results: We reviewed ten (n = 10) studies, most of which were reviews focused on breast cancer, indicating variation in the state of knowledge across different cancer types. A protein intake of 1.4 g/kg body mass helps preserve fat-free mass, with whey being more effective than casein. Omega-3 fatty acid supplementation at a dose of 2.2 g/kg may prevent chemotherapy-related neurotoxicity and support appetite and weight maintenance. Physical activity, especially when it includes strength training, improves VO₂max, preserves fat-free mass, and may reduce stress and anxiety. We identified one randomized controlled trial in which a single exercise session before the first dose of doxorubicin resulted in a smaller reduction in cardiac function. Continuous psychological support should be available. A combined behavioural and pharmacological approach appears to be the most effective strategy for smoking cessation. Conclusions: No official guidelines exist for prehabilitation before chemotherapy, and the availability of studies on this topic is very limited. The pre-treatment period represents a critical window for interventions. Further research is needed to evaluate the effectiveness and applicability of particularly single-component interventions. Full article

The therapeutic potential of cannabinoids and other ligands of cannabinoid receptors attracts considerable attention due to their diverse pharmacological effects and utility in various medical applications. However, challenges such as low solubility, limited bioavailability, and potential side effects hinder their broad clinical use. Nanoformulation techniques offer a promising approach to address these issues and optimize the therapeutic effectiveness of cannabinoids and other cannabinoid receptor ligands. This comprehensive review explores the advancements in nanoformulation strategies to enhance the therapeutic efficacy and safety of synthetic cannabinoids and related compounds, such as CB13, rimonabant, and HU-211, which have been studied in a range of preclinical models addressing conditions such as neuropathic pain, depression, and cancer. The review discusses various nanocarriers employed in this field, including lipid-based, polymeric, and hybrid nanoparticles, micelles, emulsions, and other nanoengineered carriers. In addition to formulation approaches, this review provides an in-depth analysis of chemical structures and their effect on compound activity, especially in the context of the affinity for the cannabinoid type 1 receptor in the brain, which is chiefly responsible for the psychoactive effects. The provided summary of research concerning either chemical modifications of existing cannabinoids or the creation of new compounds that interact with cannabinoid receptors, followed by the development of nanoformulations for these agents, allows for the identification of new research directions and future perspectives for Cannabis-based medicine. In conclusion, the combination of nanotechnology and cannabinoid pharmacology holds promise for delivering more effective and safer therapeutic solutions for a broad spectrum of medical conditions, making this an exciting area of research with profound implications for the healthcare and pharmaceutical industries. Full article

Kolmogorov–Arnold Networks (KANs) have recently emerged as a powerful alternative to traditional Artificial Neural Networks (ANNs), offering superior accuracy and interpretability, which are two critical requirements in healthcare applications. This study investigates the effectiveness of KANs across a range of clinical tasks by applying them to diverse medical datasets, including structured clinical data and time-series physiological signals. Compared with conventional ANNs, KANs demonstrate significantly improved performance, achieving higher predictive accuracy even with smaller network architectures. Beyond performance gains, KANs offer a unique advantage: the ability to extract symbolic expressions from learned functions, enabling transparent, human-interpretable models—a key factor in clinical decision-making. Through comprehensive experiments and symbolic analysis, our results reveal that KANs not only outperform ANNs in modeling complex healthcare data but also provide interpretable insights that can support personalized medicine and early diagnosis. There is nothing specific about the datasets or the methods employed, so the findings are broadly applicable and position KANs as a compelling architecture for the future of AI in healthcare. Full article

Immune organoids have emerged as a ground-breaking platform in immunology, offering a physiologically relevant and controllable environment to model human immune responses and evaluate immunotherapeutic strategies. Derived from stem cells or primary tissues, these three-dimensional constructs recapitulate key aspects of lymphoid tissue architecture, cellular diversity, and functional dynamics, providing a more accurate alternative to traditional two-dimensional cultures and animal models. Their ability to mimic complex immune microenvironments has positioned immune organoids at the forefront of cancer immunotherapy development, autoimmune disease modeling, and personalized medicine. This narrative review highlights the advances in immune organoid technology, with a focus on their applications in testing immunotherapies, such as checkpoint inhibitors, CAR-T cells, and cancer vaccines. It also explores how immune organoids facilitate the study of autoimmune disease pathogenesis with insights into their molecular basis and support in high-throughput drug screening. Despite their transformative potential, immune organoids face significant challenges, including the replication of systemic immune interactions, standardization of fabrication protocols, scalability limitations, biological heterogeneity, and the absence of vascularization, which restricts organoid size and maturation. Future directions emphasize the integration of immune organoids with multi-organ systems to better replicate systemic physiology, the development of advanced biomaterials that closely mimic lymphoid extracellular matrices, the incorporation of artificial intelligence (AI) to optimize organoid production and data analysis, and the rigorous clinical validation of organoid-derived findings. Continued innovation and interdisciplinary collaboration will be essential to overcome existing barriers, enabling the widespread adoption of immune organoids as indispensable tools for advancing immunotherapy, vaccine development, and precision medicine. Full article

Background: Artocarpus heterophyllus, familiar as jackfruit, is a tropical fruit highly valued not only for its nutritional content but also for its medicinal properties, including potential antidiabetic effects. Objectives: This study aimed to evaluate the insulinotropic, β-cell proliferative and anti-hyperlipidaemic properties of the ethanol extract of unripe Artocarpus heterophyllus (EEAH) in high-fat-fed (HFF) diet-induced obese mice. Method: We evaluated acute insulin secretion and β-cell proliferation in BRIN-BD11 cells, and assessed in vitro glucose diffusion and starch digestion. In vivo, acute and chronic studies in HFF induced obese mice measured glucose tolerance, body weight, food and fluid intake, and lipid profiles. A preliminary phytochemical screening was also performed. Results: In this study, EEAH exhibited significant antidiabetic activity through multiple mechanisms. EEAH enhanced glucose-stimulated insulin secretion in BRIN-BD11 β-cells via K_ATP channel modulation and cAMP-mediated pathways, with partial dependence on extracellular calcium, and it also promoted β-cell proliferation. In vitro assays revealed its ability to inhibit starch digestion and glucose diffusion, indicating delayed carbohydrate digestion and absorption. In high-fat-fed (HFF) obese mice, the acute and chronic oral administration of EEAH improved oral glucose tolerance, reduced fasting blood glucose, decreased body weight, and normalized food and fluid intake. Lipid profile analysis showed increased HDL and reduced total cholesterol, LDL, and triglycerides, while higher doses of EEAH also enhanced gut motility. Phytochemical screening revealed the presence of bioactive compounds such as alkaloids, tannins, flavonoids, saponins, steroids, and terpenoids, which are likely responsible for these therapeutic effects. Conclusion: These findings highlight EEAH as a promising natural candidate for adjunctive therapy in managing type 2 diabetes and associated metabolic disorders and emphasize the importance of future multi-omics studies to elucidate its molecular targets and pathways. Full article

Background/Objectives: Betulin is a promising agent in many areas of medicine and is being investigated, particularly in the field of cancer. However, in in vivo experiments, its water insolubility becomes a significant obstacle. This study describes a promising method for the administration of betulin in in vivo experiments and the determination of betulin levels in organ samples. Methods: Betulin was first dissolved in ethanol, and this solution was then mixed with acylglycerols, followed by evaporation of the ethanol. Olive oil and food-grade lard were determined to be suitable lipids for noninvasive application per os. A method for processing the organs of experimental animals for betulin determination was developed. Determination of betulin levels in blood is also likely the only viable option for use in future clinical studies and practice. Results: The maximum amount of betulin usable (i.e., absorbable by organisms) in olive oil (10 mg/mL), suppository mass (6 mg/mL), food lard (4 mg/mL), and cocoa butter (2 mg/mL) carriers was found microscopically. A specific distribution of betulin concentration in the organs of experimental animals (Wistar rats) after a weekly diet containing betulin was discovered. The blood was shown to be particularly advantageous, as it allows continuous monitoring of betulin levels in the body. In these pilot experiments, a statistically significant (p < 0.001) synergistic effect of betulin on solid Ehrlich adenocarcinoma tumors was observed when betulin was combined with cytostatic Namitecan (NMRI mice). The high-purity betulin used in this study is very stable even under fluctuating storage conditions. Conclusions: Our study suggests that both the method of betulin administration and the proposed analytical procedure could greatly increase the reliability and reproducibility of in vivo studies, as well as future preclinical and clinical studies on the effects of betulin and potentially other similar water-insoluble triterpenoids on living organisms. Full article

Functional mitral regurgitation (FMR) is a common condition with significant prognostic implications, primarily driven by left atrial or ventricular remodeling secondary to ischemic or non-ischemic cardiomyopathies. While guideline-directed medical therapy (GDMT) remains the cornerstone of management, reducing mitral regurgitation severity in up to 40–45% of cases, additional interventions are often necessary. In patients where atrial fibrillation (AF) or ventricular dyssynchrony due to abnormal electrical conduction contributes to disease progression, guideline-directed AF management or cardiac resynchronization therapy plays a pivotal role. For those with persistent moderate to severe MR and unresolved symptoms despite optimal GDMT, percutaneous intervention may be warranted, provided specific clinical and echocardiographic criteria are met. This review highlights a precision-medicine approach to patient selection for transcatheter treatment of functional mitral regurgitation (FMR), emphasizing the integration of clinical characteristics with advanced multimodal imaging, including echocardiography, cardiac magnetic resonance, and computed tomography. In anatomically or clinically complex cases, complementary use of these imaging modalities is essential to ensure accurate phenotyping and procedural planning. Once a suitable candidate for percutaneous intervention has been identified, we provide a detailed overview of current transcatheter strategies, with a focus on device selection tailored to anatomical and pathophysiological features. Finally, we discuss emerging technologies and evolving therapeutic paradigms that are shaping the future of individualized FMR management. Full article

Asthma is a multifactorial respiratory disease that naturally occurs in horses, humans, and cats, presenting common clinical signs and species-specific mechanisms. This review addresses the impact of asthma on the cardiovascular and neurological systems, with a primary focus on horses. It highlights the need for new biomarkers beyond the respiratory system due to diagnostic difficulties in animals. A comprehensive literature search was conducted using PubMed and Google Scholar, focusing on cardiovascular and neurological manifestations of asthma in humans, horses, cats, and experimental animal models. Studies were qualitatively compared, noting species-specific differences and mechanisms. Humans with asthma show an increased risk of cardiovascular disease and elevated cardiac biomarkers during exacerbations, while horses develop pulmonary hypertension and vascular remodeling. Cats exhibit significant pulmonary vascular changes. Heart rate variability analysis reveals altered autonomic function in humans and horses. Increased peripheral airway innervation and cough reflex sensitivity are noted across species. The renin–angiotensin–aldosterone system (RAAS) plays a crucial role in asthma pathophysiology in murine models. Asthma impacts the cardiovascular and nervous systems differently across species, emphasizing the importance of comparative medicine. Future research should integrate cardiovascular, autonomic, and inflammatory pathways to develop effective therapeutic approaches in human and veterinary medicine, leveraging insights from naturally occurring asthma models. Full article

The 2021 WHO classification of brain tumours revolutionised the oncological field by emphasising the role of molecular, genetic and pathogenetic advances in classifying brain tumours. In this context, incidental gliomas have been increasingly identified due to the widespread performance of standard and advanced MRI sequences and represent a diagnostic and therapeutic challenge. The impactful decision to perform a surgical procedure deeply relies on the non-invasive identification of features or parameters that may correlate with brain tumour genetic profile and grading. Therefore, it is paramount to reach an early and proper diagnosis through neuroradiological techniques, such as MRI. Standard MRI sequences are the cornerstone of diagnosis, while consolidated and emerging roles have been awarded to advanced sequences such as Diffusion-Weighted Imaging/Apparent Diffusion Coefficient (DWI/ADC), Perfusion-Weighted Imaging (PWI), Magnetic Resonance Spectroscopy (MRS), Diffusion Tensor Imaging (DTI) and functional MRI (fMRI). The current novelty relies on the application of AI in brain neuro-oncology, mainly based on radiomics and radiogenomics models, which enhance standard and advanced MRI sequences in predicting glioma genetic status by identifying the mutation of multiple key biomarkers deeply impacting patients’ diagnosis, prognosis and treatment, such as IDH, EGFR, TERT, MGMT promoter, p53, H3-K27M, ATRX, Ki67 and 1p19. AI-driven models demonstrated high accuracy in glioma detection, grading, prognostication, and pre-surgical planning and appear to be a promising frontier in the neuroradiological field. On the other hand, standardisation challenges in image acquisition, segmentation and feature extraction variability, data scarcity and single-omics analysis, model reproducibility and generalizability, the black box nature and interpretability concerns, as well as ethical and privacy challenges remain key issues to address. Future directions, rooted in enhanced standardisation and multi-institutional validation, advancements in multi-omics integration, and explainable AI and federated learning, may effectively overcome these challenges and promote efficient AI-based models in glioma management. The aims of our multidisciplinary review are to: (1) extensively present the role of standard and advanced MRI sequences in the differential diagnosis of iLGGs as compared to HGGs (High-Grade Gliomas); (2) give an overview of the current and main applications of AI tools in the differential diagnosis of iLGGs as compared to HGGs (High-Grade Gliomas); (3) show the role of MRI, radiomics and radiogenomics in unravelling glioma genetic profiles. Standard and advanced MRI, radiomics and radiogenomics are key to unveiling the grading and genetic profile of gliomas and supporting the pre-operative planning, with significant impact on patients’ differential diagnosis, prognosis prediction and treatment strategies. Today, neuroradiologists are called to efficiently use AI tools for the in vivo, non-invasive, and comprehensive assessment of gliomas in the path towards patients’ personalised medicine. Full article

Metabolomics, a promising field in the realm of omics, focuses on the investigation of alterations and patterns in the composition and abundance of metabolites generated by organisms under perturbation, directly linking measurable chemical reactions with biological events. Its research philosophy aligns harmoniously with the holistic perspective and syndrome differentiation and treatment principles of traditional Chinese medicine (TCM). Consequently, metabolomics has garnered unparalleled attention and has been widely applied in various fields of TCM research such as disease diagnosis, effective constituents and mechanism related with efficacy. In recent years, nuclear magnetic resonance (NMR)-based metabolomics, a non-destructive testing technique, has played a crucial role in metabolomics research, owing to its exceptional repeatability, stability, and advantages in qualitative and quantitative aspects. Through reviewing relevant literature in recent years, this article provides a comprehensive analysis of the fundamental principles of NMR metabolomics technology and its utilization in TCM. Additionally, it examines the challenges encountered in this field and explores potential future development trends, aiming to offer substantial support for further investigations in the realm of TCM metabolomics. Full article

MRI is a non-invasive imaging technique employed today in modern diagnostic medicine due to the fact it is capable of generating tissue architecture and function information with high image resolution without the use of ionizing radiation, unlike x-ray or CT scans. The advantages of MRI discussed in this review include better soft tissue contrast, the opportunity to perform imaging in different planes, and the ability to detect small changes in tissues, which helps to use MRI in many specialties, including cancer diagnosis and staging, as well as neurological and cardiovascular diseases. More particularly, this review aims to assess the contribution of MRI to the detection of liver cancer, especially HCC and ICC—the most frequent and aggressive types of pathology. Because of its high-resolution, MRI provides clear visualization of the small hepatic lesion and vascular mapping, which is crucial for early diagnosis and staging. It also reveals higher sensitivity and specificity than ultrasound and CT in identifying liver cancer dimensions and relations with system vasculature and a safer technique for patients who need many follow-up images. This is in addition to newer techniques that have been developed from MRI, which include the DWI, DCE-MRI, and MRE, all of which yield functional information concerning the perfusion of the tumor and the stiffness of the tissue, respectively, thus improving the diagnosis. Moreover, the application of artificial intelligence to MRI is improving lesion identification and cancer assessment, as well as patient outcome prediction, while relieving the burden of radiologists. Suggested improvements for future work include the combination of MRI with other diagnostic approaches, including circulating cell analysis and molecular imaging in managing liver cancer. Still, there is a limitation in MRI’s access globally, because scanners are expensive and unavailable in some parts of the world. Technological improvements and greater availability will extend MRI more as a valuable modality in the treatment of liver malignancies, more so for diagnosis and staging. Full article

Bilirubin is a key component in the preparation of two traditional Chinese medicines: Calculus bovis sativus and Calculus bovis artifactus. Currently, industrial-scale production of bilirubin is limited to extraction from pig bile in a very low yield and its market price is very high, so it is important to develop an alternative method for producing bilirubin. This study developed a potential process for bilirubin production through biotransformation of biliverdin. The codon-optimized gene for biliverdin reductase (BVR) from Synechocystis PCC6803 was recombinantly expressed in Komagataella phaffii GS115, resulting in the genetically modified strain GS115-bvdR, which successfully expressed BVR with intracellular activity. Whole cells of GS115-bvdR were capable of transforming biliverdin to bilirubin in vitro. The overexpression conditions were optimized to enhance BVR production by GS115-bvdR, and the optimal conditions for the biotransformation of biliverdin into bilirubin using resting GS115-bvdR cells were established (pH 5.0 buffer, at 30 °C for 24 h, with 200 mg/L biliverdin). Under these conditions, a bilirubin concentration of 153 mg/L was achieved, with a conversion of 76.2% from biliverdin. These findings provide valuable insights for future studies on the biosynthesis of bilirubin through metabolic engineering. Full article