Search Results (7,856)

Ethnopharmacological studies are growing in number in Europe; however, research on medicinal plants in Lithuania focusing on dermatological and cosmetic applications is still scarce. This study aimed to evaluate ethnobotanical heritage related to the treatment of skin diseases and cosmetic use in Northern Lithuania and to assess the compliance of traditional medicinal plant use indications with European Union herbal monographs. This study involved 36 participants aged 40 to 89. Data were collected using semi-structured interviews. This study documented 76 plant species belonging to 41 botanical families for the treatment of skin diseases and cosmetic purposes. This knowledge was primarily transmitted through family traditions, with 59.2% of respondents reporting that they acquired this knowledge from parents or grandparents. The medicinal plants most frequently mentioned for the treatment of skin diseases and cosmetic purposes were Aloe vera (L.) Burm. f. and Plantago major L. The most popular preparation method was topical application (32.4%) for treating skin diseases and decoction (38.5%) for cosmetic purposes. Plant-based raw materials were most often used to treat skin wounds (24.5%), as well as skin inflammation (16.3%) and burns (12.1%). For cosmetic purposes, the most frequently mentioned indication was dry skin (23.6% of plants). Of the 76 recorded plant species, 41 (53.9%) were not included in herbal monographs, and only 15 species (42.86%) were used in accordance with approved medical indications for skin diseases. Many plant species are used without European Medicines Agency-approved medical indications, relying solely on traditional and folk knowledge. Full article

Chronic kidney disease (CKD) is associated with a markedly increased risk of cardiovascular (CV) morbidity and mortality that cannot be fully explained by traditional risk factors. Emerging evidence highlights the central role of the gut–kidney–heart axis, whereby gut microbiota dysbiosis promotes the generation and systemic accumulation of uremic toxins, including indoxyl sulfate (IS), p-cresyl sulfate (PCS), and trimethylamine N-oxide (TMAO). These metabolites contribute to endothelial dysfunction, oxidative stress, inflammation, and vascular remodeling, thereby accelerating CV disease progression in CKD. Dietary patterns represent a key modifiable factor influencing gut microbiota composition and metabolic activity. The Mediterranean diet, characterized by high intake of plant-based foods, dietary fiber, and polyphenols, and low consumption of red and processed meats, has emerged as a promising microbiota-targeted strategy. It promotes saccharolytic fermentation, enhances short-chain fatty acid production, and reduces proteolytic pathways responsible for uremic toxin generation. Accumulating evidence from observational studies, meta-analyses, and dietary intervention trials suggests that adherence to Mediterranean and plant-based dietary patterns is associated with reduced uremic toxin burden, improved renal outcomes, and lower CV risk in CKD populations. However, direct interventional evidence linking Mediterranean diet adherence to changes in specific uremic toxin levels remains limited. This narrative review summarizes current evidence on diet–microbiota interactions in CKD and highlights the Mediterranean diet as a biologically plausible strategy for targeting the gut–kidney–heart axis. Future well-designed randomized controlled trials (RCTs) are needed to confirm causal relationships and support clinical implementation. Full article

Introduction: Depression and anxiety are highly prevalent disorders with a substantial impact on quality of life. Limitations related to the efficacy and tolerability of conventional pharmacological treatments have stimulated increasing interest in complementary therapeutic approaches, including phytotherapy. This review aims to provide an integrative analysis of some plant species present in the spontaneous flora of Romania, correlating their traditional use with the phytochemical, pharmacological, preclinical, and clinical data available globally. The approach aims to highlight the therapeutic relevance of these species in both regional and international contexts. Relevant sections: This narrative review integrates available data on seven species commonly used in traditional medicine: Matricaria chamomilla L., Galium odoratum L., Melissa officinalis L., Leonurus cardiaca L., Hypericum perforatum L., Tilia spp., and Crataegus monogyna Jacq. This review examines their geographical distribution, taxonomic classification, phytochemical composition, proposed mechanisms of action, and available preclinical and clinical evidence, as well as safety considerations and products currently available on the Romanian pharmaceutical sales. Discussion: Current evidence suggests that Hypericum perforatum L. and Melissa officinalis L. are supported by relatively robust clinical data regarding their efficacy in reducing anxiety and depressive symptoms. For the remaining species, evidence is derived mainly from preclinical studies or traditional use. The proposed mechanisms of action include modulation of neurotransmitter activity, antioxidant and anti-inflammatory effects, and regulation of the hypothalamic–pituitary–adrenal (HPA) axis. Conclusions: Phytotherapy represents a promising approach in the management of anxiety and depressive disorders, particularly as a complementary therapeutic option. However, the strength of evidence varies considerably among the analyzed species, and clinical data remain limited for several of them. Future directions: From a future perspective, advancing the clinical relevance of the analyzed plant species requires a more coherent integration of existing pharmacological, preclinical, and emerging clinical data. Particular attention should be given to species for which the current evidence remains predominantly experimental, by promoting research strategies that facilitate the translation of mechanistic findings into clinically meaningful outcomes. Full article

Weed infestation poses a significant threat to bok choy (Brassica rapa subsp. chinensis) cultivation, reducing crop yield and quality through resource competition and pest facilitation. Traditional weed detection methods face two major bottlenecks: one is data annotation, arising from the need for extensive, species-diverse datasets, and the other is visual discrimination, due to the high morphological similarity between crops and weeds at certain growth stages. To address these challenges, this study proposed an indirect weed detection framework that combines an optimized You Only Look Once version 10 (YOLOv10) model for crop detection with Excess Green ExG-based segmentation of residual vegetation. The model incorporates RFD and C2f-WDBB modules to improve feature preservation and multi-scale fusion. Compared with baseline YOLOv10, the final proposed RCW-YOLOv10 reduced the number of parameters by 1.04 million and improved detection performance, achieving increases of 3.5%, 1.5%, and 1.1% percentage points in Precision, Recall, and mAP50, respectively, under field conditions. The system initially detected bok choy plants, subsequently localizing weeds by masking crop regions and thresholding residual ExG signals in the uncovered areas. The detected weed coordinates were used to construct a distribution map that may support targeted control in precision agriculture. This approach simplifies weed identification under the tested bok choy field conditions and may be adaptable to other crops after further validation. Full article

Wild edible fruits play an important role in supporting food security, nutrition, and traditional knowledge systems in rural communities, yet their diversity and uses remain insufficiently documented in many parts of Thailand. This study aimed to investigate the diversity, utilization, and ethnobotanical significance of wild edible fruit species in Kut Chum District, Yasothon Province. Ethnobotanical data were collected through semi-structured interviews and field surveys with local informants, and quantitative indices, including the Cultural Importance Index (CI), Fidelity Level (%FL), and Informant Consensus Factor (ICF), were applied to evaluate species significance and medicinal agreement. A total of 71 species belonging to 33 families were recorded, with most species consumed as fresh fruits and a subset used for medicinal purposes. Several species, such as Irvingia malayana Oliv. ex A.W.Benn., Phyllanthus emblica L., and Syzygium cumini (L.) Skeels exhibited high cultural importance, reflecting their key roles in local diets. High ICF values across therapeutic categories indicated strong consensus in ethnomedicinal knowledge. Additionally, 44 species not used medicinally in the study area were reported as medicinal in other regions, highlighting spatial variation in knowledge systems. These findings emphasize the importance of wild edible fruits as multifunctional resources contributing to food and nutritional security. Integrating culturally important species into conservation and sustainable use strategies may support biodiversity preservation and the continuity of traditional ecological knowledge. Full article

Driven by increasing demand in the health and wellness industry, Traditional Chinese Medicine (TCM) agriculture currently faces significant challenges related to supply–demand imbalances and continuous cropping obstacles (CCOs). Intercropping and crop rotation can mitigate yield decline and environmental stress by improving microclimates and rhizosphere ecology. However, there is still a lack of bibliometric synthesis within this research area. To analyze research hotspots and evolutionary trends, 192 articles on the intercropping and crop rotation of medicinal plants were collected from the Web of Science Core Collection (1998–2025), including databases such as the Science Citation Index Expanded (SCIE), the Social Science Citation Index (SSCI) and the Conference Proceedings Citation Index (CPCI). The results revealed a steady increase in publication volume over time. China emerged as the most prolific contributor (93 articles), while the United States occupied a pivotal position in the global collaborative network, achieving a high centrality of 0.90. Research hotspots in this field have evolved from an early emphasis on plant yield and quality toward the mechanisms for alleviating CCOs, interspecific interactions within the rhizosphere microbiome, and the ecological management of soil health. Keyword bursts indicate that “microbial community” and “carbon” have emerged as the current research frontiers. To clarify the micro-mechanisms by which intercropping and crop rotation patterns mitigate or prevent CCOs, future research should prioritize the integration of multi-omics approaches to resolve molecular interactions within the “microbe–plant–soil” nexus. Key priorities include the development of functional Synthetic Microbial Communities (SynComs) and the establishment of comprehensive evaluation systems for ecological cultivation. Furthermore, aligning these models with global climate neutrality strategies would facilitate the balance between high-quality medicinal production and ecosystem stability. Full article

Metallurgical batching—governing raw material proportioning across sintering, blast furnace ironmaking, converter steelmaking, and non-ferrous smelting—critically determines product quality, energy consumption, and production cost throughout the full process chain. Its inherent complexity, characterized by strong nonlinear physicochemical coupling, measurement delays of up to 1.5 h, and multi-source raw material disturbances, renders conventional linear programming and empirical methods inadequate for dynamic, multi-objective industrial environments. This review systematically examines 98 representative studies (2020–2026) on intelligent algorithms applied to metallurgical batching optimization. A two-dimensional analysis framework of the fusion algorithm function and metallurgical scene is established. All kinds of methods are divided into three categories: prediction-oriented, optimization-oriented and decision-oriented, covering four typical scenes of sintering burdening, blast furnace ironmaking, converter steelmaking and non-ferrous metal smelting. Traditional machine learning models achieve sintering burn-through point prediction with R² ≈ 0.85 and offer superior interpretability via SHAP analysis. Deep learning architectures deliver blast furnace silicon content prediction with RMSE ≈ 0.04%, while multi-objective evolutionary algorithms provide mature Pareto optimization for batching cost and carbon objectives. Reinforcement learning holds long-term potential for closed-loop adaptive control but remains constrained by Sim-to-Real safety barriers. Converter steelmaking and non-ferrous smelting are identified as underexplored domains. Three priority directions are proposed: domain-adaptive predictive modeling for cross-plant generalization, real-time re-optimization embedding mechanism constraints, and safe reinforcement learning transfer via high-fidelity digital twins. Full article

Traditional edible plants such as quelites are an important component of the Mexican diet due to their nutritional and functional value; however, the effects of postharvest and culinary processing on their phytochemical composition remain poorly understood. This study evaluated the impact of oven-drying and freeze-drying, as well as thermal preparation (raw vs. boiled), on the proximal chemical composition, phenolic profile, and antioxidant capacity of leaves and inflorescences of Chenopodium berlandieri subsp. nuttalliae (huauzontle), using an integrated metabolomic approach. Proximal analysis showed that major macronutrients (protein, dietary fiber, lipids, and carbohydrates) were largely preserved across drying methods, whereas moisture and ash contents differed significantly among tissues and treatments (p < 0.05). Raw freeze-dried inflorescences exhibited the highest total phenolic content and antioxidant capacity. UPLC-DAD-ESI-QToF/MS enabled the identification and quantification of 26 phenolic compounds, predominantly glycosylated flavonols derived from quercetin, kaempferol, and isorhamnetin, while naringin was identified as the main flavanone glycoside present. Quercetin glucuronide was the most abundant compound, particularly in inflorescences. Multivariate analyses (principal component analysis [PCA], permutational multivariate analysis of variance [PERMANOVA], and partial least squares discriminant analysis [PLS-DA]) suggested that the drying method was a major source of variability, followed by thermal treatment and tissue type, although these patterns should be interpreted as indicative rather than conclusive. Overall, freeze-drying appeared to be the most effective method for preserving the phytochemical quality of huauzontle under the conditions evaluated, highlighting its potential as a valuable source of bioactive compounds within the genus Chenopodium. Full article

Background: Tectoridin is a prominent isoflavone glycoside found in herbs such as Belamcanda chinensis (L.) DC and Iris tectorum Maxim. It has drawn increasing research interest due to its promising pharmacological activities. However, no critical review to date has determined whether its broad pharmacological activity stems from binding to specific targets or from the non-specific, broad-spectrum activity commonly associated with flavonoids. This paper provides a comprehensive review of tectoridin, covering its plant sources, pharmacological effects, pharmacokinetics, and toxicity, alongside an in-depth analysis of the mechanisms underlying its pharmacological effects and strategic recommendations for advancing its clinical translation. Methods: A systematic literature search was conducted in PubMed, Web of Science, Google Scholar, SciFinder, and CNKI for publications from 1968 to 2025 using keywords including tectoridin, tectorigenin 7-O-glucoside, traditional uses, ethnopharmacology, pharmacology, bioactive compounds, biological activity, pharmacokinetics and toxicity. Results: Tectoridin exhibits a broad spectrum of pharmacological activities, including anticancer, anti-inflammatory, hepatoprotective, antidiabetic, antioxidant, cardiovascular, and estrogenic effects. Pharmacokinetic studies have shown rapid tissue distribution and slow elimination; the aglycone metabolite tectorigenin often displays enhanced bioactivity, and chemical modifications may further improve efficacy. Toxicity data suggest relative safety in medicinal food contexts, but comprehensive in vivo studies remain limited. Tectoridin shows promise for treating cancer and inflammatory diseases; however, further research is needed to elucidate its molecular mechanisms, clarify toxicity, and optimize bioactivity. Conclusions: This review bridges natural products and modern therapeutics by focusing on tectoridin, highlighting its therapeutic potential, addressing challenges, and offering new perspectives for treating various diseases. Full article

Parasitic plants represent a unique group of angiosperms that extract nutrients from host plants through specialized structures called haustoria. With over 4750 recognized species, these plants vary in their dependence on hosts, classified as holoparasites (completely non-photosynthetic) or hemiparasites (partially photosynthetic). Despite their parasitic lifestyle, these plants contribute significantly to ecological stability by regulating plant communities. Some parasitic species, such as Striga and Orobanche, are major agricultural pests, while others, including Cistanche and Cynomorium, are valued for their medicinal properties. Parasitic plants in general are rich in secondary metabolites with potential pharmacological significance. These compounds, including alkaloids, phenolics, and terpenoids, display antimicrobial, anticancer, and immunomodulatory effects. Mistletoe (Viscum album L.) produces lectins and viscotoxins, which exhibit cytotoxic and immune-stimulating properties. Traditional medicine has long utilized parasitic plants, and modern pharmacological research continues to uncover their potential in drug development. However, an intriguing question arises: whether they are superior in any way to their non-parasitic counterparts, or just received more attention due to their unique appearance. Understanding the unique chemistry of parasitic plants provides insights into their ecological role and offers opportunities for advancements in medicine and agriculture. Full article

Melia azedarach L. is a plant known for its traditional medicinal uses. Limonoids (triterpenes), which have a wide range of pharmacological effects, are the most critical active ingredients; however, their potential effects on liver cancer remain to be further explored. In this study, seven limonoids were isolated from the bark of Melia azedarach, including two new compounds, 11α-hydroxy-12-Oxo-Meliarachin I (1) and 29-Oxo-12-dehydroneoazedarachin D (3), along with five known compounds (2, 4–7), to evaluate their effect on liver cancer in vitro. The results showed that compounds 1–7 exhibited varying degrees of inhibitory effects on Hep3B cells. Among these, compound 6, Isotoosendanin (ITSN), displayed the most potent activity, with an IC₅₀ value of 15.06 μg/mL. Mechanism studies have shown that ITSN inhibits cell proliferation and promotes apoptosis in Hep3B cells. It induces reactive oxygen species (ROS) accumulation to trigger oxidative stress injury, suppresses the activation of the MAPK and PI3K/AKT signaling pathways, further activates the p53 pathway to induce cell cycle arrest, and ultimately initiates the apoptotic cascade. ITSN can also inhibit tumor growth in immunodeficient mice receiving allogeneic transplantation. In summary, we systematically studied the limonoids in the bark of Melia azedarach and elucidated the anti-hepatocarcinoma activity of ITSN in vitro and in vivo, providing promising evidence for its potential use as a natural active ingredient in the prevention and treatment of cancer. Full article

Despite the wide and accepted implementation of contemporary pharmaceutical medicine, the use of medicinal plants still prevails in several regions around the world, including Mexico. According to the World Health Organization (WHO), the use of incorrect species in natural and complementary medicine is a threat to consumer safety. Therefore, there is a need to characterize properly those plant species used in traditional medicine. In this study, a medicinal plant called Calanca, which is traded in the local market of a small community within the State of Puebla (Mexico), was characterized by different approaches. Conventional and molecular taxonomy analyses showed that Calanca belonged to the Asteraceae family, genus Chrysactinia. On one hand, molecular markers (rbcL, matK and ITS) helped to identify Calanca at the species level, being identified as C. mexicana. On the other hand, although not used for molecular taxonomy, additional gene markers were amplified and submitted to the GenBank database to expand the toolkit for C. mexicana identification. In addition, soil taxonomy and quantitative chemical analyses provided insights into the relationship between growing conditions and the chemical compounds produced by C. mexicana. Chemical compounds associated with medicinal properties such as phenolic acids, flavonoids, terpenes, and anthocyanins were identified in C. mexicana extracts. Finally, greenhouse conditions for the cultivation of this species were also investigated. Overall, this comprehensive characterization provides the essential botanical and chemical foundation required for future toxicological and clinical safety assessments, while establishing a robust framework for the long-term conservation of this endangered medicinal resource. Full article

Background/Objectives: Snow Chrysanthemum (Coreopsis tinctoria Nutt.), a traditional medicinal and edible plant rich in flavonoids (TFSC) with antihypertensive and neuroprotective activities, has unclear effects and mechanisms on vascular dementia (VaD) comorbid with hypertension, a key risk factor accelerating VaD. This study aimed to investigate TFSC’s ameliorative effects on cognitive impairment in hypertensive VaD rats and elucidate its holistic therapeutic mechanisms. Methods: Spontaneously hypertensive rats (SHRs) with unilateral common carotid artery ligation were used to establish the hypertensive VaD model. TFSC was intragastrically administered for 11 weeks. Systolic blood pressure (BP) and cerebral blood flow (CBF) were monitored; cognitive function was assessed via open field, novel object recognition and Morris water maze tests. Histopathological changes were evaluated by H&E and Nissl staining, serum oxidative stress and inflammatory markers were measured, and hippocampal transcriptome sequencing plus RT-qPCR was performed to identify key pathways and genes. Results: The chemical profile of TFSC was characterized, showing a total flavonoid content of 84.96%; 49 compounds were identified, 39 of which were flavonoids. TFSC reduced BP, improved CBF, alleviated cognitive dysfunction and neuronal damage, enhanced antioxidant capacity (increased SOD, CAT, GSH; decreased ROS), and exerted anti-inflammatory effects (reduced TNF-α, IL-1β, IL-6, Ang-II). It modulated multiple pathways, with the PI3K-Akt and MAPK pathways enriched, and validated key differentially expressed genes. Conclusions: This study provides preliminary evidence for the holistic therapeutic potential of TFSC against hypertensive VaD. With integrated vascular regulatory and neuroprotective effects, TFSC serves as a promising candidate for VaD by targeting both vascular risk factors and neuropathological damage. Full article

This study evaluates the potential of using Granulated Waste Tire Rubber (GWTR) as an alternative raw material in geopolymer mortars an eco-friendly, low-carbon alternative to traditional cement-based systems. The research investigates the synergistic effect of industrial by-products, such as slag (from ferrochrome plants) and fly ash (from thermal power plants), combined with varying proportions of GWTR (1/4, 1/3, and 1/2 by volume). A total of 22 mixtures were prepared using diverse binder pastes, including pure cement, slag-based, and fly ash-based geopolymer systems, alongside their cement-substituted derivatives. The mechanical and physical performances were assessed through compressive strength, flexural strength, and Ultrasonic Pulse Velocity (UPV) tests at 3, 7, 28, and 180 days, complemented by SEM microstructural analyses. The findings indicate that while GWTR significantly reduces the mechanical properties of pure cement matrices, this negative impact is substantially mitigated in geopolymer mortars supplemented with 5–10% cement. Mixtures containing 1/4 GWTR with 90–95% slag or fly ash (M6, M7, M15, M16) yielded the most successful results in terms of both strength and sustainability, specifically, mixtures M7 and M16 because the hybrid binder synergy effectively compensated for the rubber-induced porosity, ensuring a denser matrix and structural-grade compressive strength alongside high sustainability. Significant decreases in performance were observed at higher GWTR ratios, particularly at the 1/2 level. Overall, the study demonstrates that integrating GWTR into optimized geopolymer systems offers a viable pathway for the valorization of environmental waste and minimizing the ecological footprint of the construction industry. Full article

Recent advancements in 3D reconstruction technologies have significantly transformed plant phenotyping, enabling precise, scalable, and automated trait extraction. Traditional manual phenotyping methods are increasingly being replaced by image-based approaches, such as photogrammetry, LiDAR, RGB-D sensing, and deep learning (DL)-based techniques. These tools allow for non-destructive, high-throughput measurements of plant morphology, structure, and physiological traits. This review synthesizes the state of the art in 3D reconstruction methods, including conventional geometric algorithms and emerging DL methods, and evaluates their application across diverse plant species. In addition, we discuss the sensing modalities, evaluation metrics, and crop-specific deployments. Although promising, current technologies still face challenges in terms of computational efficiency, scalability to outdoor environments, and generalizability across crop types. This review concludes by identifying research gaps and future directions for making real-time, field-deployable 3D phenotyping systems. Full article