Search Results (4,947)

Hemp is a high-yield crop traditionally cultivated for fiber used in products such as paper, textiles, ropes, and animal bedding, and more recently for sustainable applications in biofuels, insulation, and bioplastics. Beyond fiber, hemp is rich in phytochemicals. More than 500 compounds including cannabinoids, terpenes, phenolics, phytosterols, and tocopherols are accumulated in leaves, flowers, and seeds, which are typically considered waste products in the fiber industry. These compounds exhibit antioxidant, anti-inflammatory, neuroprotective, and antimicrobial properties, which have stimulated research into their pharmaceutical potential. However, hemp phytochemicals also find applications in other industrial sectors, including agrochemistry as natural insecticides, cosmetics for skin and hair care, and food and dietary supplements due to their associated health benefits. In light of this, the present review aims to give an overview of the available literature on the most common applications of hemp tissues, hemp extract, and purified hemp phytochemicals in agrochemical, cosmetic, and food sectors. This will be helpful to critically assess the current state of knowledge in this field and contribute to the ongoing debate over the natural and sustainable applications of hemp by-products. Full article

The large yellow croaker (Larimichthys crocea) is an economically significant aquaculture species in Asia, with skin coloration being a key quality attribute affecting consumer choice and commercial value. This study integrated morphological, biochemical, and proteomic approaches to investigate chromatophore characteristics, pigment composition, and diurnal body color variation in the large yellow croaker. Colorimetric analysis showed the highest yellowness, redness, and lightness values in ventral skin, followed by caudal skin, with dorsal skin showing the least yellowness. Three major chromatophores were identified: melanophores, xanthophores, and iridophores. Xanthophores were abundant in ventral and caudal skin, showing larger size and deeper pigmentation ventrally, while melanophores dominated dorsally and iridophores were mainly on scales. Skin and fins were key sites for carotenoid deposition, with lutein as the predominant carotenoid. Esters of lutein and zeaxanthin were the main contributors to yellow coloration in fish. A strong positive correlation was found between skin yellowness and total carotenoid content (R = 0.91, p < 0.05). The aggregation and dispersion of xanthosomes within xanthophores appeared to be the key driver behind the light-influenced diurnal body color variation. Proteomic analysis revealed motor proteins (such as KIF21, DYNC1L1, and MYO9) and pathways related to intracellular granule movement were probably related to the pigment transport in chromatophores of large yellow croaker. In addition, tubulin dynamics also appeared to participate in pigment translocation. This study is helpful to understand the pigmentary basis of this important farmed sea fish and provides a foundation for improving the golden color traits and further molecular research on diurnal color changes in large yellow croaker. Full article

Background and Objectives: Dermatology relies on a complex terminology encompassing lesion types, distribution patterns, colors, and specialized sites such as hair and nails, while dermoscopy adds an additional descriptive framework, making interpretation subjective and challenging. Our study aims to evaluate the ability of a chatbot (Gemini 2) to generate dermatology descriptions across multiple languages and image types, and to assess the influence of prompt language on readability, completeness, and terminology consistency. Our research is based on the concept that non-English prompts are not mere translations of the English prompts but are independently generated texts that reflect medical and dermatological knowledge learned from non-English material used in the chatbot’s training. Materials and Methods: Five macroscopic and five dermoscopic images of common skin lesions were used. Images were uploaded to Gemini 2 with language-specific prompts requesting short paragraphs describing visible features and possible diagnoses. A total of 2400 outputs were analyzed for readability using LIX score and CLEAR (comprehensiveness, accuracy, evidence-based content, appropriateness, and relevance) assessment, while terminology consistency was evaluated via SNOMED CT mapping across English, French, German, and Greek outputs. Results: English and French descriptions were found to be harder to read and more sophisticated, while SNOMED CT mapping revealed the largest terminology mismatch in German and the smallest in French. English texts and macroscopic images achieved the highest accuracy, completeness, and readability based on CLEAR assessment, whereas dermoscopic images and non-English texts presented greater challenges. Conclusions: Overall, partial terminology inconsistencies and cross-lingual variations highlighted that the language of the prompt plays a critical role in shaping AI-generated dermatology descriptions. Full article

Background/Objectives: Globally, one of the most dreadful and rapidly spreading illnesses is skin cancer, and it is acknowledged as a lethal form of cancer due to the abnormal growth of skin cells. Mostly, classifying and diagnosing the types of skin lesions is complex, and recognizing tumors from dermoscopic images remains challenging. The existing methods have limitations like insufficient datasets, computational complexity, class imbalance issues, and poor classification performance. Methods: This research presents a method named the Distributed Learning enabled Parallel Convolutional Memory Network (DL-PCMNet) model to effectively classify skin cancer by overcoming the existing limitations. Hence, the proposed DL-PCMNet model utilizes a distributed learning framework to provide greater flexibility during the learning process, and it increases the reliability of the model. Moreover, the model integrates the Convolutional Neural Network (CNN) and Long Short-Term Memory model (LSTM) in a parallel distribution, which enhances robustness and accuracy by capturing the information of long-term dependencies. Furthermore, the utilization of advanced preprocessing and feature extraction techniques increases the accuracy of classification. Results: The evaluation results exhibit an accuracy of 97.28%, precision of 97.30%, sensitivity of 97.17%, and specificity of 97.72% at 90% of training by using the ISIC 2019 skin lesion dataset, respectively. Conclusions: Specifically, the proposed DL-PCMNet model achieved efficient and accurate skin cancer classification compared with other existing models. Full article

The most used technique to assess cortisol in zebrafish is trunk sampling, a terminal procedure. Extracting cortisol non-terminally in adult zebrafish remains challenging, limiting longitudinal studies, and the reduction of the number of zebrafish used in research. This study explored non-terminal methods for cortisol measurement in adult zebrafish under acute and chronic stress, focusing on housing water and skin mucus as alternatives to terminal trunk sampling. Oxidative stress markers (cerebral and hepatic) were also assessed to confirm stress responses. In experiment A, zebrafish were exposed to no stress, acute stress (AS), or chronic stress for 14 days (CS14) to evaluate skin mucus and trunk cortisol as biomarkers. In experiment B, in addition to CS14, a 7-day unpredictable chronic stress protocol (CS7) was tested to discard stress habituation. Results showed significant effects on cerebral oxidative stress: AS increased ROS and AChE activity, CS7 reduced GPx and AChE, and CS14 raised GPx in experiment A, while it increased protein carbonyls and decreased ATPase levels in experiment B. Trunk and skin mucus cortisol increased following AS. Under chronic stress, trunk and skin mucus cortisol levels were not significantly altered, but water cortisol increased at CS7. In conclusion, skin mucus and trunk cortisol levels are reliable biomarkers for acute stress, while water cortisol holds promise for chronic stress. Full article

Background/Objectives: Skin photoaging represents a predominant form of extrinsic aging, characterized by structural and functional impairment of the skin barrier. In severe cases, it may precipitate dermatological diseases and even tumors. Given the prevalence and detrimental effects of skin photoaging, strategies for its effective prevention and mitigation have garnered significant research interest. Chrysanthemum morifolium Ramat cv. ‘Hangju’ contains diverse bioactive compounds, including flavonoids, phenylpropanoids, phenolic acids, and polysaccharides, which have been proven to exhibit antioxidant and anti-inflammatory effects. Methods: This study employed a UVB-induced mouse model of skin photoaging to evaluate the potential of dietary supplementation with Chrysanthemum morifolium Ramat cv. ‘Hangju’ flower extract (CME) in vivo. Results: In the photoaged skin of female SKH-1 hairless mice, dietary supplementation with CME significantly increased skin moisture content, reduced wrinkle formation, suppressed epidermal hyperplasia, enhanced collagen density, and suppressed the senescence marker expression and DNA damage marker expression. Analysis of the skin transcriptome suggested that CME could alter gene expression patterns and potentially modulate critical signaling pathways involved in skin homeostasis. Moreover, 16S rRNA sequencing indicated that CME mitigated UVB-induced gut microbiota dysbiosis. Conclusions: These preclinical findings reveal the anti-photoaging property of dietary CME supplementation and point to its potential application as a functional dietary supplement for promoting skin health. Full article

Body color is the most prominent phenotypic trait in animals. To investigate the molecular regulatory mechanisms underlying skin pigmentation and body color in Channa argus, single-nucleus RNA sequencing technology was employed to analyze cell diversity and functional changes in the skin of normal and albino C. argus. Three pigment-related cell types, seven immune-related cell types, and nine other skin-related structural and functional cell types were identified. The skin of albino C. argus, which appears white to the naked eye, contains numerous melanocytes and iridophores with reflective silver properties. Compared to normal C. argus, melanocytes in albino individuals contained fewer melanin granules, while iridophores exhibited increased chromogenic substances. Melanocyte-specific genes—kitlg, myo5a, and scarb1—were significantly downregulated in albino melanocytes (p < 0.05). Conversely, iridophore-specific genes alk, pnp, and gpnmb were significantly upregulated in albino skin, whereas mlph was significantly downregulated (p < 0.05). Weighted gene co-expression network analysis revealed that scarb1 was associated with the melanocyte module, alk was identified as a core gene, and pnp was linked to the iridophore module. Functionally, scarb1 is involved in pigment transport, pnp in purine synthesis, and alk is essential for iridophore development. Therefore, scarb1, pnp, and alk may be correlated to albinism in C. argus. Overall, this study constructed a single-cell transcriptional atlas of C. argus skin, providing valuable reference data for further research into the regulatory mechanisms governing body color formation and maintenance in this species. Full article

The “Neuroimaging and Pathology Biomarkers in Parkinson’s Disease” course held on 12–13 September 2025 in Milan, Italy, convened an international faculty to review state-of-the-art biomarkers spanning neurotransmitter dysfunction, protein pathology and clinical translation. Here, we synthesize the four themed sessions and highlights convergent messages for diagnosis, stratification and trial design. The first session focused on neuroimaging markers of neurotransmitter dysfunction, highlighting how positron emission tomography (PET), single photon emission computed tomography (SPECT), and magnetic resonance imaging (MRI) provided complementary insights into dopaminergic, noradrenergic, cholinergic and serotonergic dysfunction. The second session addressed in vivo imaging of protein pathology, presenting recent advances in PET ligands targeting α-synuclein, progress in four-repeat tau imaging for progressive supranuclear palsy and corticobasal syndromes, and the prognostic relevance of amyloid imaging in the context of mixed pathologies. Imaging of neuroinflammation captures inflammatory processes in vivo and helps study pathophysiological effects. The third session bridged pathology and disease mechanisms, covering the biology of α-synuclein and emerging therapeutic strategies, the clinical potential of seed amplification assays and skin biopsy, the impact of co-pathologies on disease expression, and the “brain-first” versus “body-first” model of pathological spread. Finally, the fourth session addressed disease progression and clinical translation, focusing on imaging predictors of phenoconversion from prodromal to clinically overt stages of synucleinopathies, concepts of neural reserve and compensation, imaging correlates of cognitive impairment, and MRI approaches for atypical parkinsonism. Biomarker-informed pharmacological, infusion-based, and surgical strategies, including network-guided and adaptive deep brain stimulation, were discussed as examples of how multimodal biomarkers may inform personalized management. Across all sessions, the need for harmonization, longitudinal validation, and pathology-confirmed outcome measures was consistently emphasized as essential for advancing biomarker qualification in multicentre research and clinical practice. Full article

Falls are a leading cause of bone fractures among the elderly, particularly hip fractures resulting from side falls. This research deals with the feasibility of application of shear-thickening fluids (STFs) to design self-protective wearable devices to rapidly respond to sudden impact due to falls. The device consists of a lightweight, flexible foam structure embedded with STF-filled compartments, which remain soft during normal movements but stiffen upon sudden impact, effectively dissipating energy and reducing force trans-mission to the bones. First, a foam-based sandwich panel filled with STF is fabricated and subjected to several falling scenarios through a ball drop test. The induced strain of the device with and without STF is measured using Fiber Bragg Grating (FBG) sensors. Then, the effect of localized STF is explored by fabricating a soft 3D-printed (TPU) sandwich panel filled with STF at selected cavities. It was observed that the application of STF reduces the induced strain by approximately 50% for the TPU skin device and 30% for the foam-based device. This adaptive response mechanism offers a balance between comfort and protection, ensuring wearability for daily use while significantly lowering fracture risks. The proposed solution aims to enhance fall-related injury prevention for the elderly, improving their quality of life and reducing healthcare burdens associated with fall-related fractures. Full article

Excessive use of short-form video platforms such as TikTok has raised growing concerns about digital addiction and its impact on young users’ emotional well-being. This study examines the relationship between continuous TikTok exposure and emotional engagement in young adults aged 20–23 through a multimodal experimental design. The purpose of this research is to determine whether emotional engagement increases, remains stable, or declines during prolonged exposure and to assess the degree of correspondence between facially inferred engagement and physiological arousal. To achieve this, multimodal biometric data were collected using the iMotions platform, integrating galvanic skin response (GSR) sensors and facial expression analysis via Affectiva’s AFFDEX SDK 5.1. Engagement levels were binarized using a logistic transformation, and a binomial test was conducted. GSR analysis, merged with a 50 ms tolerance, revealed no significant differences in skin conductance between engaged and non-engaged states. Findings indicate that although TikTok elicits strong initial emotional engagement, engagement levels significantly decline over time, suggesting habituation and emotional fatigue. The results refine our understanding of how algorithm-driven, short-form content affects users’ affective responses and highlight the limitations of facial metrics as sole indicators of physiological arousal. Implications for theory include advancing multimodal models of emotional engagement that account for divergences between expressivity and autonomic activation. Implications for practice emphasize the need for ethical platform design and improved digital well-being interventions. The originality and value of this study lie in its controlled experimental approach that synchronizes facial and physiological signals, offering objective evidence of the temporal decay of emotional engagement during continuous TikTok use and underscoring the complexity of measuring affect in highly stimulating digital environments. Full article

Background: Atopic dermatitis (AD) is a chronic inflammatory skin disorder characterized by pruritic eczematous lesions that significantly alter quality of life of patients. Dupilumab, a new biologic agent, has demonstrated efficacy and safety in the general adult population with AD. However, evidence on its use in elderly patients is limited. Objectives: The objective of this work was to systematically assess the effectiveness and safety of dupilumab in patients aged ≥60 years with AD, based on published data. Methods: A systematic review and meta-analysis were conducted following the PICO(S) framework. Articles written in English and published before 31 December 2024 that investigated patients ≥ 60 years with AD treated with dupilumab were included. Meta-analysis of the observational studies was performed using a random-effects model with subgroup and meta-regression analyses. Results: Twenty-one articles met the inclusion criteria. After 16 weeks of treatment, dupilumab significantly reduced disease severity (EASI: 21.8; 95% CI: 18.3–25.2), intensity of pruritus (P-NRS: 5.8; 95% CI: 4.2–7.3), and quality of life impairment (DLQI: 11.3; 95% CI: 6.1–16.5); all p < 0.001. Meta-regression revealed previous treatment with cyclosporin A as a predictor of a poorer response to treatment. The generalized-prurigo phenotype was associated with worse control of pruritus. The most common adverse events were conjunctivitis, injection site reactions, and facial flushing. Conclusions: Dupilumab appears to be an effective and well-tolerated treatment for AD in elderly patients. More research is warranted to evaluate its long-term effectiveness and safety in this age group. Full article

Lignans are naturally occurring compounds found in a wide variety of plant species, including flaxseed, soybean, pumpkin seed, broccoli, sesame seed, and some berries. Lignans have been used for centuries in both food and traditional herbal medicine. Recently, numerous new lignans and lignan derivatives with diverse biological properties have been identified. Lignans are considered promising for human health due to their hydrogen-donating antioxidant activity together with their ability to complex divalent transition metal cations. They have demonstrated beneficial effects for cardiovascular disease, as well as in maintaining blood glucose levels, supporting cardiac health, promoting anti-obesity effects, decreasing the risk of renal diseases, enhancing brain function, improving skin and gut health, among others. This review explores the biosynthesis and biological effects of lignans, with a particular focus on their antihypertensive and anti-obesity properties, as well as the molecular mechanisms involved. It also highlights recent advances in sustainable lignan extraction techniques that are suitable for human use. The mechanisms underlying these bioactivities are thought to involve hormonal metabolism and availability, antioxidant action, modulation of angiogenesis, and more. However, further research is needed to fully elucidate the molecular pathways through which lignans exert their therapeutic effects. Overall, lignans from various plant sources hold significant potential for application in functional foods, dietary supplements, and pharmaceutical products aimed at preventing and managing a range of health conditions, including hypertension and obesity. Full article

Grape pomace is a major byproduct of winemaking and a rich source of bioactive anthocyanins with potential functional value. This study aimed to optimize anthocyanin extraction from Tannat grape pomace and evaluate its antioxidant and anti-aging activities. Ultrasonic-assisted extraction combined with a Box–Behnken design identified optimal conditions of 51.27 °C, 53.46% ethanol, 20.10 min ultrasonication, and a 1:24.05 solid-to-liquid ratio, yielding 186.21 ± 1.03 mg/100 g (R² = 0.9798, p < 0.0001). Tannat Grape Pomace Anthocyanins showed strong antioxidant capacity, with 2,2-Diphenyl-1-picrylhydrazyl scavenging of 89.44% ± 0.87% at 0.2 mg/mL (IC₅₀ = 0.09 mg/mL) and 2,2′-Azino-bis (3-ethylbenzothiazoline-6-sulfonic acid) scavenging of 95.83% ± 0.54% at 0.75 mg/mL (IC₅₀ = 0.26 mg/mL). In Caenorhabditis elegans, TGPA extended lifespan, improved motility, and increased heat and oxidative stress resistance without reducing reproductive capacity. Lifespan is a key indicator of aging. This study holds significant implications for advancing our understanding of the mechanisms underlying lifespan regulation, the connection between aging and disease, as well as the development of anti-aging therapies for humans. In conclusion, these findings indicate that Tannat Grape Pomace Anthocyanins possess promising antioxidant and anti-aging potential and support the sustainable, high-value utilization of grape pomace. This approach directly aligns with the core principles of sustainable agriculture by transforming an agricultural byproduct into a valuable resource. Full article

Machine Learning (ML) and Deep Learning (DL) have shown significant promise in healthcare, particularly in medical image segmentation, which is crucial for accurate disease diagnosis and treatment planning. Despite their potential, challenges such as data privacy concerns, limited annotated data, and inadequate training data persist. Decentralized learning approaches such as federated learning (FL), split learning (SL), and split federated learning (SplitFed/SFL) address these issues effectively. This paper introduces “MedSegNet10,” a publicly accessible repository designed for medical image segmentation using split-federated learning. MedSegNet10 provides a collection of pre-trained neural network architectures optimized for various medical image types, including microscopic images of human blastocysts, dermatoscopic images of skin lesions, and endoscopic images of lesions, polyps, and ulcers. MedSegNet10 implements SplitFed versions of ten established segmentation architectures, enabling collaborative training without centralizing raw data and labels, reducing the computational load required at client sites. This repository supports researchers, practitioners, trainees, and data scientists, aiming to advance medical image segmentation while maintaining patient data privacy. Full article

Background: Wound healing contributes to restoring skin integrity. However, scars affect soft tissue in all its layers, including the superficial and deep fascia; moreover, it has been demonstrated that the fibroblasts leading the scarring process develop from progenitors located in the superficial fascia. In the past, research into scar etiology has focused primarily on the dermal and epidermal layers, leaving the role of the fasciae largely overlooked. Many patients presenting with surgical or traumatic scars complain of the increased stiffness and thickness of the scar, reduced extensibility of the area surrounding it, and chronic pain persisting even after the healing process has been completed. The purpose of this systematic review is to investigate the non-invasive tools and methods employed for the objective evaluation of scars that involve fascial layers. Methods: A systematic literature search was conducted on PubMed and WOS. Registration DOI: 10.17605/OSF.IO/SDR3Q. Results: A total of 11 articles were selected; the etiologies of scars were surgical, traumatic, and other (keloids). The investigations were conducted using ultrasound, magnetic resonance imaging, strain elastography, and shear wave elastography on the visceral fasciae, superficial fascia, hypodermis, and musculoskeletal fasciae. Sliding of fasciae was assessed by ultrasound; thickness of fasciae was assessed by ultrasound and magnetic resonance imaging; stiffness was assessed by shear wave elastography and strain elastography; and the qualitative assessment was performed via ultrasound. Conclusions: Our literature review showed that ultrasound, magnetic resonance imaging, strain elastography, and shear wave elastography are currently adopted for investigating the sliding, thickness, stiffness, and qualitative features of scars involving fascial layers. Moreover, our research showed the existence of a gap in the scientific literature on this topic. Full article