Search Results (6,327)

Oroxylum indicum is a traditional food in Asia rich in flavonoids and health-related effects. However, research into the use of O. indicum as a functional food ingredient is overlooked. This review synthesized literature from 2010 to 2025 using the PRISMA framework, bibliometric mapping, and the Antecedents–Decisions–Outcomes (ADO) model. In total, 185 articles were included, covering in vitro, in vivo, in silico, and limited human investigations. Bibliometric analysis shows a growing global interest, with recent focuses on molecular docking, cancer, and conservation. Phytochemical investigations consistently report key flavonoids, including baicalein, baicalin, oroxylin A, chrysin, oroxin A, and oroxin B. Studies have linked these compounds to different health benefits, including antioxidants, cardiovascular, and neurological protection. Application of the ADO framework organized research into motives, methods, and outcomes, and highlighted scientifically validated ethnomedicinal uses, such as diabetes and liver protection. Meanwhile, gaps, including obesity-related studies, long-term safety, and clinical trials, remain. More importantly, although young fruits are locally consumed as vegetables or beverages, translation into functional foods is limited by bitterness, lack of standardized preparations, and insufficient dose–response data at dietary intakes. This review discusses the bioactive potential of O. indicum and outlines research priorities for its development in functional food. Full article

Nutritional factors play a crucial role in many gynecological disorders, particularly those influenced by estrogen. Uterine fibroids are benign tumors that affect a large proportion of women of reproductive age, especially between 30 and 40 years. These lesions may cause significant symptoms, including pelvic pain, heavy menstrual bleeding, and infertility. In younger women, the onset of fibroids is often associated with familial and genetic predisposition, whereas in adulthood, hormonal influences linked to environmental factors and states of exogenous or endogenous hyperestrogenism are more frequently observed. In both contexts, supportive management through an appropriate diet may provide clinical benefit. Although the precise pathogenesis remains incompletely understood, hormonal, genetic, and environmental components—particularly hyperestrogenism—are considered key contributors to fibroid development. Current evidence suggests that consumption of saturated fats, particularly from red meat and full-fat dairy, may raise circulating estrogen concentrations and contribute to the development of fibroids. In contrast, diets abundant in fiber, fruits, and vegetables appear to exert a protective effect, potentially lowering fibroid risk. Obesity, through increased aromatization and consequent estrogen production, also represents an established risk factor. This narrative review aims to explore the role of nutritional determinants in the onset and progression of uterine fibroids, with a specific focus on the impact of individual nutrients, foods, and dietary patterns on clinical outcomes. Particular emphasis is placed on obesity and macronutrient composition (e.g., high-fat versus high-fiber dietary regimens) as potential modulators of circulating estrogen levels and, consequently, fibroid growth dynamics. Furthermore, the potential of nutritional strategies as complementary therapeutic approaches, capable of integrating established clinical practices, is examined. Full article

Tomato (Solanum lycopersicum L.) is among the most economically significant and nutritionally valuable vegetable crops grown globally. However, fungal diseases such as Early Blight caused by Alternaria alternata are a major factor limiting yield and fruit quality in tomato production. This study investigates the biocontrol potential of locally isolated rhizobacterium Pseudomonas yamanorum against A. alternata, the causal agent of early blight in tomato, under both in vitro and in planta conditions. In vitro assays demonstrated significant antifungal activity; in the dual confrontation assay, P. yamanorum (10⁸ CFU/mL) reduced A. alternata mycelial growth by 68.7%, while spore germination was inhibited by 88.7%. In planta trials demonstrated that plants treated with P. yamanorum (10⁷ CFU/mL) alone exhibited the lowest disease severity (2.5). The treatments also significantly enhanced plant growth, with shoot length reaching 45 cm versus 26 cm in infected controls. Biochemical analyses revealed increased catalase (94.84 units mg⁻¹ protein min⁻¹), peroxidase (5.83), and ascorbate peroxidase (67.01) activities in treated plants. Total polyphenol and protein contents also increased (0.81 mg/g and 15.82 mg/g, respectively). Furthermore, P. yamanorum treatments maintained fruit quality parameters such as firmness (3.13), sugar content (6.43 °Brix), and juice yield (55.88%), while reducing malondialdehyde (2.02 µmol/g Dry Weight) and electrical conductivity (0.59 mS/cm). These findings highlight P. yamanorum as a promising biocontrol agent and plant growth-promoting bacteria that improve disease resistance, which can be combined with salicylic acid to further enhance crop vigor and fruit quality under biotic stress. Full article

Helicobacter pylori infects the human stomach and causes various gastrointestinal diseases. Saucerneol D is a type of lignan, which is a polyphenol compound that exists naturally in plants, and it is abundant in flaxseed, sesame seeds, whole grains, vegetables, and fruits. Saucerneol D is found in Saurus chinensis extract and has been reported to exert a variety of effects, such as antioxidant and anti-inflammatory abilities. However, its antibacterial effect against H. pylori has not been reported; therefore, we analyzed the effect of saucerneol D on H. pylori in the present study. Changes in the expression of pathogenic factors and gene transcription in H. pylori were observed after treatment with saucerneol D using Western blotting and RT-PCR. It was confirmed that saucerneol D suppressed the growth of H. pylori by decreasing the expression of the genes dnaN and polA, which are required for bacterial replication. Saucerneol D also reduced the secretion of the major pathogenic toxin protein, CagA, by downregulating the expression of type IV secretion system-composing proteins. Furthermore, saucerneol D reduced ammonia production by inhibiting the expression of urease proteins, which are essential for the survival of H. pylori in the acidic gastric environment. Additionally, saucerneol D decreased the expression of flaB, potentially reducing motility. Finally, it was confirmed that the expression of the sabA gene, associated with cell adhesion, was reduced. These results suggest that saucerneol D inhibits the growth of H. pylori and the expression of several pathogenic factors, indicating that saucerneol D has an antimicrobial effect against H. pylori. Full article

Colorectal cancer (CRC) is the second most prevalent cancer globally and remains a significant cause of cancer-related mortality. The limited efficacy and toxicities of conventional therapies underscore the urgent need for novel treatments. Lonidamine (LND), a synthetic indazole-3-carboxylic acid derivative, possesses anticancer properties, yet its clinical use is limited by toxic side effects. Apigenin (AP), a naturally occurring flavonoid present in a variety of fruits and vegetables, has been observed to enhance the efficacy of conventional chemotherapy regimens while mitigating associated side effects. In this study, we explored the potential synergistic anticancer effects and mechanisms of combining LND with AP in colon cancer cell lines MC38 and CT26. The results showed that LND and AP in combination synergistically inhibited the growth of colon cancer cells. In vitro, the combination therapy inhibited cell migration, induced cell cycle arrest in the G2/M phase, and promoted apoptosis by downregulating Bcl-2 and upregulating Bax expression. It disrupted glycolysis by reducing HK2 and GLUT1 expression, resulting in decreased glucose consumption and lactate production. Additionally, our findings suggested that the co-administration led to nucleotide depletion and disrupted NAD⁺ metabolism. The synergistic anticancer effect of LND combined with AP was also validated in MC38 tumor-bearing mice. These findings provide preliminary evidence that the combination of LND and AP may exert beneficial effects against CRC. Full article

Background: Tyrosinase is a copper-dependent oxyreductase capable of catalyzing the oxidation of mono- and diphenols. Its activity is crucial in the biosynthetic pathway of melanin, the pigment responsible for the pigmentation of mammalian skin and fur, and protecting their skin from harmful UV radiation. Overproduction of this pigment leads to numerous pathological conditions, including the most severe form of skin cancer—malignant melanoma. Furthermore, tyrosinase produced in plant tissues leads to the browning of damaged vegetables and fruits. Therefore, the search for compounds that effectively and efficiently control tyrosinase activity is desirable for both pharmaceutical and food applications. Methods: A group of six boronate derivatives of thiosemicarbazones was synthesized, and their inhibitory properties against tyrosinase were determined. Furthermore, their ability to inhibit melanogenesis and proliferation in SK-MEL-3 and Hs294T cells was investigated. Docking simulations were performed to determine the nature of the inhibitor–protein interactions. Results: The tested inhibitors exhibited half-maximal inhibitory concentrations (IC₅₀) in the micromolar range. The best inhibitor, compound 6, had an IC₅₀ of 1.4 µM. The tested compounds exhibited poor selectivity for cell lines capable of high and low tyrosinase overexpression, with inhibitor 4 proving to be the most selective compound among those tested. Molecular modeling results indicate that the compounds with the highest activity against tyrosinase interact with the active cavity and the copper ions present within it via a boron moiety substituted on the aromatic ring of the thiosemicarbazones. Cell-based experiments indicated limited antiproliferative effects up to 100 µM across the tested lines. The compounds demonstrated weak antiproliferative effects in SK-MEL-3 and Hs-294T up to 100 µM. Conclusions: Our results show that the introduction of a boronic acid moiety is an alternative to carboxylic acid derivatives, improving the inhibitory activity of boron analogs (by fourfold) against fungal tyrosinase. Full article

This work has reviewed the recently published literature (last 8 years) about the effects caused by HPP on the antioxidant properties (A, C, and E vitamins and antioxidant activity) of F&V (fruits and vegetables) preparations in comparison to thermal treatments (TP). The methodology of this revision was performed mainly by using keywords related to HPP, F&V, and antioxidant compounds in the Scopus database. High-pressure technology was briefly described, considering its principles and historical milestones, and justifying that it can be applied as a green and sustainable preservation method (with pros and cons). It is also relevant for the present food market due to their growing tendency in F&V derivatives (especially juices). The main effects on vitamins and antioxidant compounds point to it as an emerging preservation method to maintain and avoid vitamin and bioactive substances loss in comparison with pasteurization by heat. Maximum efficiency, cost-effectiveness, and quality improvement are aspects to be improved in the future by HPP technologies. Full article

Strawberry (Fragaria × ananassa Duch.) is a widely cultivated and economically important fruit crop with increasing consumer demand worldwide. Nowadays, in Uzbekistan, strawberry cultivation surpasses that of many other fruits and vegetables in terms of production volume. However, most genetic studies have focused on a limited set of cultivars, leaving a substantial portion of varietal diversity unexplored. This study aimed to evaluate the genetic variability and heritability among selected strawberry cultivars, as well as correlations between certain valuable agronomic traits, using molecular and statistical approaches. Polymorphism analysis was performed, using 67 gene-specific SSR markers, through PCR, and allele variations were observed in 46.3% of the markers analyzed. Among them, 31 markers displayed polymorphic bands, identifying fifty alleles, with one to four alleles per marker. Phylogenetic analysis was performed using MEGA 11 software, while statistical evaluations included AMOVA (GenAIEx), correlation (OriginPro), and descriptive statistics based on standard agronomic methods. Additionally, the degree of cross-compatibility and pollen viability among the cultivars were studied, and their significance for cultivar hybridization was analyzed. The highest fruit weight was observed in the Cinderella cultivar (26.2 g), and a moderate negative correlation (r = −0.688) was found between fruit number and fruit weight. These findings demonstrate the potential of molecular tools for assessing genetic diversity and provide valuable insights for breeding programs aimed at developing improved strawberry cultivars with desirable agronomic traits. Full article

Cancer has remained a major global health challenge, with around 20 million new cases and 9.7 million fatalities recorded each year. Even though there has been recent progress in therapies such as radiotherapy, chemotherapy, immunotherapy, and gene therapy, cancer remains a major treatment challenge due to late diagnosis and difficulties in therapeutic effectiveness. Flavonoids, a substantial category of naturally occurring polyphenols, have received considerable interest in recent years for their potential involvement in cancer management and prevention, especially concerning breast cancer. These bioactive compounds, abundant in vegetables, fruits, and herbs, exhibit various therapeutic actions, including antioxidant, anti-inflammatory, and antimutagenic effects. The advanced therapeutic potential of flavonoids, when combined with FDA-approved medicines, offers synergistic effects and enhanced clinical results. Additionally, flavonoid-loaded nano-formulations, involving co-delivery systems, are being explored to increase solubility, stability, and bioavailability, enabling targeted delivery to cancer cells while reducing off-target adverse effects. This review examines the role of flavonoids in the prevention and management of breast cancer, focusing on their dietary sources, metabolism, and pharmacokinetic properties. Furthermore, we explore novel strategies, such as combination therapies with FDA-approved drugs and the application of flavonoid-based nanoformulations, which have the potential to enhance therapeutic outcomes. The clinical application of these strategies has the potential to improve breast cancer treatment and create new opportunities for the advancement of flavonoid-based therapies. Full article

‘Pera’ sweet orange is a key variety for the Brazilian citrus industry, but orchards rely on a limited number of clonal selections, which restricts adaptability and productivity across diverse environments. This study assessed the agronomic performance of 13 ‘Pera’ selections grafted on Rangpur lime, cultivated under rainfed conditions in subtropical Brazil. From 2002 to 2010, trees were assessed for vegetative growth, cumulative yield, alternate bearing, and fruit quality. Market-specific performance indices were calculated to determine suitability for fresh fruit or juice processing. Substantial genotypic variation was observed across traits, particularly during early orchard stage. Selections such as ‘Morretes’, ‘Seleção 11’, ‘Seleção 27’, ‘Seleção 37’, and ‘IPR 153’ demonstrated high cumulative yield, stable productivity, and favorable canopy traits, supporting their use in both conventional and high-density systems. ‘IPR 153’ combined compact growth with high yield efficiency and excellent fruit quality, while ‘Morretes’ had the highest juice content and broad market adaptability. In contrast, ‘IPR 159’ showed low vigor and yield under rainfed conditions. The results emphasize the value of regionally targeted clonal selection to improve orchard performance and market alignment. The identification of dual-purpose genotypes offers a pathway to diversify citrus production and improve profitability under subtropical growing conditions. Full article

Hyperspectral imaging (HSI) has emerged as a powerful tool for non-destructive phenotyping, yet fruit crop applications remain underexplored. We propose a methodological framework to enhance the spectral characterization of apple fruits by identifying robust vegetation indices (VIs) and interpretable endmembers. We screened 284 Vis, which were evaluated using four feature selection algorithms (Boruta, MI+Lasso, RFE, and ensemble voting), generalizing across red, yellow, green, and purple apple cultivars. An ensemble criterion (≥2 algorithms) yielded 50 selected VIs from the NDSI/DSI/RSI families, preserving > 95% classification accuracy and capturing cultivar-specific variation. Pigment-sensitive wavelength bands were identified via PLS-DA VIP scores and one-vs-rest ANOVA. Using these bands, we formulated a new normalized-difference, ratio, and difference spectral indices tailored to cultivar-specific pigmentation. Several indices achieved >89% classification accuracy and showed patterns consistent with those of anthocyanin, carotenoid, and chlorophyll. A two-stage spectral unmixing pipeline (K-Means → N-FINDR) achieved the lowest reconstruction RMSE (0.043%). This multi-level strategy provides a scalable, interpretable framework for enhancing phenotypic resolution in apple hyperspectral data, contributing to fruit index development and generalized spectral analysis methods for horticultural applications. Full article

High-intensity functional training (HIFT) has grown in popularity in the past several decades, yet previous research has largely focused on the dietary habits and body composition of elite HIFT athletes and utilized only quantitative study designs, potentially limiting our understanding of typical HIFT athletes. This study aimed to comprehensively describe the common dietary habits and body composition of HIFT athletes. Data were only analyzed descriptively. Among 62 HIFT athletes (age: 36 ± 11.7 years), we estimated body fat percentage (BF%) using a Siri 3-compartment model, and we assessed dietary habits, dietary supplement (DS) use, and open-response rationales for DS use/disuse via an online questionnaire. Qualitative data from open-response questions were coded and grouped via inductive thematic analysis. Body composition varied among both male (n = 36, BF% = 6.5–27.6%) and female participants (n = 26, BF% = 10.6–37.6%). Most participants reported regular consumption of lean meats and home-cooked meals, yet few participants (~20%) regularly consumed the recommended twice daily servings of dairy, fruits, vegetables, and whole grains. Most (77.4%) HIFT athletes reported DS use, with the average HIFT athlete using approximately six DS; dairy protein, creatine, caffeine, and electrolyte drinks were the most reported DS. Improving health, recovery, and nutrient intake were common reasons for using DS, whereas a lack of noticeable results was the most common reason for discontinuation. Some HIFT athletes may rely on DS to address nutrient gaps rather than whole foods. Full article

Background/Objectives: Type 2 diabetes (T2D) is a pressing public health challenge in the United States (U.S.). Community-based diabetes education programs equip individuals with T2D with the knowledge and skills to improve dietary behaviors, build confidence, and better manage their condition to reduce complications. However, few studies evaluate self-care adherence and self-efficacy together. This study examined participant adherence to diabetes self-care practices and confidence in managing diabetes through a community-based education program. Methods: Do Well, Be Well with Diabetes (DWBWD) is a 5-week program focused on reinforcing the best practices in diabetes management through dietary practices, physical activity, and gaining self-confidence in managing T2D. The program was evaluated among 137 participants across 14 Texas counties using pre- and post-surveys that assessed the number of days per week participants engaged in diabetes self-care practices, as well as their confidence in performing these behaviors (rated on a scale from 1 = not at all confident to 5 = extremely confident). Results: Participants were mostly male (75.9%), White (60.6%), and over 65 years (58.4%). Most participants had T2D (57.7%) or prediabetes (27.0%). Compared to the program entry, participants reported improvements (p < 0.001) in self-care practices, as reflected by their mean differences (MD), including following a healthful eating plan (MD −1.46), consuming five servings of fruit and vegetables (MD −0.87), spacing carbohydrate intake evenly throughout the day (MD −1.64), engaging in at least 30 min of daily physical activity (MD −0.74), testing blood glucose (MD −1.08), and checking their feet (MD −1.09). Confidence in performing all self-care behaviors significantly improved (p < 0.001), with MDs between −0.53 and −1.13, indicating higher post-program scores. Conclusions: Participation in the DWBWD program increased confidence in diabetes management and enhanced engagement in key health behaviors associated with reducing diabetes complications. Full article

This paper presents a digital approach for the identification of apple varieties bred in Kazakhstan using deep learning methods and transfer learning. The main objective of this study is to develop and evaluate an algorithm for automatic varietal classification of apples based on color images obtained under controlled conditions. Five representative cultivars were selected as research objects: Aport Alexander, Ainur, Sinap Almaty, Nursat, and Kazakhskij Yubilejnyj. The fruit samples were collected in the pomological garden of the Kazakh Research Institute of Fruit and Vegetable Growing, ensuring representativeness and taking into account the natural variability of the cultivars. Two convolutional neural network (CNN) architectures—GoogLeNet and SqueezeNet—were fine-tuned using transfer learning with different optimization settings. The data processing pipeline included preprocessing, training and validation set formation, and augmentation techniques to improve model generalization. Network performance was assessed using standard evaluation metrics such as accuracy, precision, and recall, complemented by confusion matrix analysis to reveal potential misclassifications. The results demonstrated high recognition efficiency: the classification accuracy exceeded 95% for most cultivars, while the Ainur variety achieved 100% recognition when tested with GoogLeNet. Interestingly, the Nursat variety achieved the best results with SqueezeNet, which highlights the importance of model selection for specific apple types. These findings confirm the applicability of CNN-based deep learning for varietal recognition of Kazakhstan apple cultivars. The novelty of this study lies in applying neural network models to local Kazakhstan apple varieties for the first time, which is of both scientific and practical importance. The practical contribution of the research is the potential integration of the developed method into industrial fruit-sorting systems, thereby increasing productivity, objectivity, and precision in post-harvest processing. The main limitation of this study is the relatively small dataset and the use of controlled laboratory image acquisition conditions. Future research will focus on expanding the dataset, testing the models under real production environments, and exploring more advanced deep learning architectures to further improve recognition performance. Full article

The collagen jelly market is expanding amidst rising consumer health consciousness. However, the high sugar and calorie contents of traditional collagen jellies make them unsuitable for patients with diabetes or obesity. The aim of this study is to develop a low-sugar collagen jelly using fruit and vegetable powder (apple, carrot, and tomato) and to identify the optimal manufacturing conditions by evaluating physicochemical and sensory properties. Texture profile analysis (TPA), proximate composition, color analysis, total flavonoid and polyphenol content, and antioxidant activity were evaluated in jellies containing 0–10% fruit and vegetable powder. Sensory evaluation on color, flavor, taste, texture, and overall preference was performed using a seven-point Likert scale. The antioxidant capacity of the jelly increased with the addition of the fruit and vegetable powder. Among the formulations evaluated, jelly containing 8% mixed powder achieved the highest preference score, highlighting its potential for consumer acceptance. This result can be attributed to the successful integration of a low-sugar base with antioxidant-rich powders, which offers both health benefits and strong consumer appeal. Full article