Search Results (89)

Background/Objectives: Population aging and its associated chronic conditions have become an unprecedented challenge in the United States and worldwide. Many aged individuals experience certain forms of cognitive decline, which increases their risk of developing a pre-dementia condition called mild cognitive impairment and even dementia. No effective pharmacological treatments are available to treat normal age-associated cognitive decline or mild cognitive impairment. Our previous study has shown the potent anti-inflammatory effects of shiitake mushroom-derived vesicle-like nanoparticles (S-VLNs) in vitro and in an acute inflammatory disease model. In this study, we aimed to investigate the potential benefits of orally administered S-VLNs in aged mice. Methods: S-VLNs were extracted from fresh shiitake mushrooms. S-VLNs in phosphate-buffered saline (PBS) or vehicle only was orally administered to 13-month-old male C57BL/6J mice weekly for 9 months. These mice were subjected to a series of physiological tests, followed by euthanasia at 22 months of age. Their fecal samples were subjected to 16S rRNA and untargeted metabolomics analyses, followed by comprehensive bioinformatics analyses. Results: The long-term oral administration of S-VLNs significantly improved the cognitive function of aged mice. Orally administered S-VLNs did not travel to the brain. Instead, they impacted the composition of the gut microbiota and reshaped the fecal metabolome. Functional predictions of the gut microbiota and fecal metabolome suggested that S-VLNs regulated tryptophan metabolism. Specifically, S-VLNs markedly decreased the tryptophan-related metabolite kynurenic acid (KYNA). The integrative analyses of omics data identified a strong correlation between 18 gut bacterial genera and 66 fecal metabolites. KYNA was found to highly correlate with five genera positively and twelve genera negatively. Conclusions: The oral intake of S-VLNs represents a new and superior dietary approach with the ability to modulate the gut microbiota and fecal metabolome and to improve cognitive function during aging. Full article

Mushroom production is a sustainable practice but requires improvements, such as in Lentinula edodes (Berk) Pegler cultivation, which has high water and labor demands. In this context, this study proposed replacing the traditional primordia induction method by submersion with a water injection method. Two primordia induction methods (submersion and injection) and two cultivation block formats were compared: rectangular cube (2 kg) and cylindrical (3.5 kg). The substrate, composed of eucalyptus sawdust (72%), wheat bran (12.5%), rice bran (12.5%), CaCO₃ (1%), and CaSO₄ (2%), was inoculated with strain LED 19/11 and incubated for 80 days at 26 ± 5 °C and 85 ± 15% humidity. After this period, the blocks were washed and transferred to the production environment. Fruiting was induced either by submersion or water injection, and production was evaluated over four harvest flushes. The 2 kg blocks had higher yields with submersion (16.62%), while the 3.5 kg blocks responded better to injection (13.01%), showing more homogeneous production. Increasing the substrate quantity contributes to greater harvest stability across production cycles. Water injections proved to be a viable alternative, reducing handling and facilitating large-scale production. The use of this technique demonstrates great importance in reducing water use and also the need for labor in cultivation. Full article

This study evaluated six agrobyproducts (oak, jujube, apple, pear, peach, black locust) as alternative substrates for Lentinula edodes cultivation to mitigate oak dependency. Twelve substrate formulations were tested, including individual and mixed sawdust combinations. Results demonstrated successful mycelial colonization across all treatments, with treatment PAS (78% pear sawdust, 20% wheat bran, 1.5% gypsum, and 0.5% lime) exhibiting the fastest mycelial growth (4.70 mm/day) and full colonization in 105 days. Treatment BLS (78% black locust sawdust, 20% wheat bran, 1.5% gypsum, and 0.5% lime) achieved the highest biological efficiency (97.26%) and productivity (0.85 kg/bag). Nutrient analysis revealed substrate-specific enhancements: PAS maximized vitamin C (4.88 mg/100 g) and iron, while PAS + OS (39% peach sawdust, 39% oak sawdust, 20% wheat bran, 1.5% gypsum, and 0.5% lime) elevated protein (3.88%), phosphorus, and zinc. PCA highlighted distinct nutritional profiles for BLS- and jujube-based mushrooms. Correlation analyses identified the third (r = 0.838) and fourth flushes (r = 0.922) as critical for total yield, with selenium and zinc significantly linked to growth rates. Black locust and peach substrates outperformed or complemented oak, offering sustainable alternatives. These findings underscore the potential of agrowaste utilization to reduce ecological strain while maintaining high yields and nutritional quality, aligning with global agricultural sustainability goals. Full article

In this study, a straightforward and cost-effective HPLC-UV method was developed for the rapid determination of vitamin D₂ and ergosterol in mushrooms. These bioactive components are known to play a significant role in the nutritional value of mushrooms, particularly in the production of mushroom-based food supplements. The method, designed for routine analysis, involves a simple sample preparation process combining saponification and solid–liquid extraction, followed by HPLC-UV detection. High recovery rates (97–99%) were achieved by the method, with limits of detection (LOD) and quantitation (LOQ) of 0.1 mg/kg dry weight and 0.5 mg/kg dry weight, respectively. The enrichment of vitamin D₂ content in mushroom powders through UV irradiation was also investigated. In Agaricus bisporus, vitamin D₂ levels increased from an initial 1.92 mg/kg to 4.66 mg/kg following heat treatment at 100 °C, and reached a maximum of 28.13 mg/kg when heat treatment was combined with UV irradiation. In contrast, Lentinula edodes exhibited an initial vitamin D₂ content of 7–8.5 mg/kg, with the highest levels achieved through UV treatment alone, which also preserved ergosterol content. These findings highlight species-specific differences in vitamin D₂ conversion and present an effective approach for enhancing the nutritional profile of mushroom-based products, while providing a reliable analytical tool for quality control. Full article

Essential amino acids and essential fatty acids are vital nutrients that must be obtained from the diet. However, traditional sources face limitations amid increasing global food security and sustainability challenges. This study aims to evaluate the nutritional potential of novel foods, including microalgae (e.g., spirulina and chlorella), fungi (e.g., oyster and shiitake mushrooms), edible insects (e.g., mealworms and migratory locusts), and unconventional plants (e.g., water lentils and canihua). The study will compare their amino acid and fatty acid profiles with those of conventional animal and plant sources. The comparative analysis conducted in this study reveals that these innovative foods offer balanced and high-quality protein and lipid profiles, and contribute essential nutrients needed to prevent deficiencies and support metabolic health. Significantly, the integration of these novel foods into established dietary patterns, such as the Mediterranean diet, has the potential to enhance nutritional quality while promoting environmental sustainability. In conclusion, the adoption of these innovative food sources provides a viable strategy to meet nutritional demands and address global health and ecological challenges, paving the way toward a more resilient and sustainable food system. Full article

Volatile compounds (VCs) from fungi can promote plant growth, but their application methods are limited. Edible mushroom fungi beds (FBs) provide a readily available alternative source of fungal VCs, although their biostimulatory functions remain unvalidated. In this study, a novel, non-contact exposure method for applying VCs emitted from FBs to rice seedlings was developed. This marks the first evaluation of mushroom FBs as a direct source of bioactive VCs for plant growth promotion. Volatiles from two different edible mushroom FBs promoted shoot growth and increased biomass for rice seedlings. VCs from shiitake FBs significantly increased biomass by 67.4% while VCs from enokitake FBs by 39.5% compared to the control. The biomass-increasing effects were influenced by the quantity of shiitake FBs applied, with significant increases at 15 g, 30 g and 60 g applications. The VCs effects remained significant even when the FBs were covered with two types of gas-permeable polymer film. Chemical analysis of VCs from FBs identified several organic compounds and subsequent bioassays using synthetic VCs determined key bioactive VCs contributing to biomass increase at specific concentrations. This study presents a utilization method of waste mushroom FBs as sustainable, scalable, and cost-effective agricultural biostimulants. Full article

PM2.5 (fine particulate matter) is an air pollutant widely present in urban and industrial areas, which has emerged as a significant threat to human health. Specifically, long-term exposure to PM2.5 could lead to various lung diseases, including pulmonary fibrosis and Chronic Obstructive Pulmonary Disease (COPD). The Glycoprotein A Repetitions Predominant (GARP) protein, a key receptor and regulator for TGF-β1, has recently emerged as a vital cytokine in PM2.5-induced pulmonary pathological changes. As a membrane glycoprotein, GARP binds to TGF-β, keeping it in an active state. Herein, PM2.5 treatment upregulated GARP and promoted Epithelial–Mesenchymal Transition (EMT) via TGF-β/SMAD signaling pathway activation. Conversely, lentinan (a shiitake mushroom-derived polysaccharide) effectively reversed the PM2.5-induced GARP upregulation, alleviating EMT. This study elucidates the role of GARP in PM2.5-induced EMT through the TGF-β/SMAD pathway in pulmonary epithelial cells and discusses the therapeutic potential of lentinan. Full article

Phenotypic traits of fungi and their automated extraction are crucial for evaluating genetic diversity, breeding new varieties, and estimating yield. However, research on the high-throughput, rapid, and non-destructive extraction of fungal phenotypic traits using 3D point clouds remains limited. In this study, a smart phone is used to capture multi-view images of shiitake mushrooms (Lentinula edodes) from three different heights and angles, employing the YOLOv8x model to segment the primary image regions. The segmented images were reconstructed in 3D using Structure from Motion (SfM) and Multi-View Stereo (MVS). To automatically segment individual mushroom instances, we developed a CP-PointNet++ network integrated with clustering methods, achieving an overall accuracy (OA) of 97.45% in segmentation. The computed phenotype correlated strongly with manual measurements, yielding R² > 0.8 and nRMSE < 0.09 for the pileus transverse and longitudinal diameters, R² = 0.53 and RMSE = 3.26 mm for the pileus height, R² = 0.79 and nRMSE = 0.12 for stipe diameter, and R² = 0.65 and RMSE = 4.98 mm for the stipe height. Using these parameters, yield estimation was performed using PLSR, SVR, RF, and GRNN machine learning models, with GRNN demonstrating superior performance (R² = 0.91). This approach was also adaptable for extracting phenotypic traits of other fungi, providing valuable support for fungal breeding initiatives. Full article

Mushrooms are indeed gaining attention for their unique therapeutic and nutritional qualities, especially in fermented drinks. This trend builds on their historical use in traditional medicine, especially within Eastern practices, where mushrooms like reishi, chaga, shiitake, oyster, lion’s mane, and cordyceps are known for their immune-boosting, anti-inflammatory, and adaptogenic properties. This narrative review highlights the growing interest in the use of mushrooms as functional ingredients in fermented beverages, emphasizing their technological and functional advantages. Fermentation significantly enhances the nutritional content and bioavailability of mushrooms, making it an ideal method to maximize the health benefits and sensory appeal of mushroom-based beverages. Microbial activity breaks down complex compounds in mushrooms, making their bioactive components more accessible for absorption; bringing unique flavors, aromas, and textures; and creating a rich-sensory experience while offering potential health benefits. Mushrooms can also improve the stability and shelf life of fermented beverages due to the presence of antimicrobial and antioxidant compounds, adding another valuable benefit to their use in functional beverages. However, despite their potential, further research is needed to fully understand their impact on health and to refine production techniques for optimal quality and consistency. This review provides a comprehensive overview of the current knowledge of mushroom-fermented beverages, highlighting both the known benefits and research gaps that require further investigation. Given the early stage of this field, the review emphasizes the importance of the additional investigation to unlock the full potential of mushrooms in functional beverage applications. Full article

Variable-temperature convective drying (VTCD) is a promising technology for obtaining high-quality dried mushrooms, particularly when considering rehydration capacity. However, accurate numerical models for variable-temperature convective drying and rehydration of shiitake mushrooms are lacking. This study addresses this gap by employing a model with thermo–hydro and mechanical bidirectional coupling to investigate five dehydration characteristics (moisture ratio, drying rate, temperature, evaporation rate, and volume shrinkage ratio) and a drying load characteristic (enthalpy difference) during VTCD. Additionally, a mathematical model combining drying and rehydration is proposed to analyze the effect of VTCD processes on the rehydration performance of shiitake mushrooms. The results demonstrate that, compared to constant-temperature drying, VTCD-dried mushrooms exhibit moderate shrinkage rates and drying time (16.89 h), along with reduced temperature variation and evaporation rate gradient (Max. 1.50 mol/(m³·s)). VTCD also improves enthalpy stability, reducing the maximum drying load by 58.84% compared to 338.15 K constant-temperature drying. Furthermore, drying time at medium temperatures (318.15–328.15 K) greatly influences rehydration performance. This study quantitatively highlights the superiority of variable-temperature convective drying, offering valuable insights for optimizing the shiitake mushroom drying processes. Full article

This study aimed to develop a non-destructive measurement method utilizing acoustic sensors for the efficient determination of the internal temperature of shiitake mushroom sticks during the cultivation period. In this research, the sound speed, air temperature, and moisture content of the mushroom sticks were employed as model inputs, while the temperature of the mushroom sticks served as the model output. A data–physics hybrid-driven model for temperature measurement based on XGBoost was constructed by integrating monotonicity constraints between the temperature of the mushroom sticks and sound speed, along with the condition that limited the difference between air temperature and stick temperature to less than 2 °C. The experimental results indicated that the optimal eigenfrequency for applying this model was 850 Hz, the optimal distance between the sound source and the shiitake mushroom sticks was 8.7 cm, and the temperature measurement accuracy was highest when the moisture content of the shiitake mushroom sticks was in the range of 56~66%. Compared to purely data-driven models, our proposed model demonstrated significant improvements in performance; specifically, RMSE, MAE, and MAPE decreased by 74.86%, 77.22%, and 69.30%, respectively, while R² increased by 1.86%. The introduction of physical knowledge constraints has notably enhanced key performance metrics in machine learning-based acoustic thermometry, facilitating efficient, accurate, rapid, and non-destructive measurements of internal temperatures in shiitake mushroom sticks. Full article

Lectins are a class of carbohydrate-binding proteins that may have antiviral activity by binding to the glycans on the virion surface to interfere with viral entry. We have identified a novel lectin (named Shictin) from Shiitake mushroom (Lentinula edodes)-derived vesicle-like nanoparticles (VLNs, or exosomes) that exhibits strong activity against the SARS-CoV-2 Omicron variant with an IC₅₀ value of 87 nM. Shictin contains 298 amino acids and consists of two unique domains (N-terminal and C-terminal domain). The N-terminal domain is the carbohydrate-binding domain (CBD) that is homologous with CBDs of other lectins, suggesting that Shictin inhibits SARS-CoV-2 infection by binding to the glycans on the virion surface to prevent viral entry. This finding demonstrates that exosomes of vegetables are a valuable source for the identification of antiviral lectins. Therefore, it is believed that lectins from vegetable VLNs have potential as antiviral therapeutic agents. Full article

The shiitake mushroom has gained popularity in the last decade, ranking second in the world for mushrooms consumed, providing consumers with a wide variety of nutritional and healthy benefits. It is often not clear the origin of these mushrooms, so it becomes of great importance to the consumers. In this research, different machine learning algorithms were developed to determine the geographical origin of shiitake mushrooms (Lentinula edodes) consumed in Korea, based on experimental data reported in the literature (δ¹³C, δ¹⁵N, δ¹⁸O, δ³⁴S, and origin). Regarding the origin of shiitake in three categories (Korean, Chinese, and mushrooms from Chinese inoculated sawdust blocks), the random forest model presents the highest accuracy value (0.940) and the highest kappa value (0.908) for the validation phase. To determine the origin of shiitake mushrooms in two categories (Korean and Chinese, including mushrooms from Chinese inoculated sawdust blocks in the latter ones), the support vector machine model is chosen as the best model due to the high accuracy (0.988) and kappa (0.975) values for the validation phase. Finally, to determine the origin in two categories (Korean and Chinese, but this time including the mushrooms from Chinese inoculated sawdust blocks in the Korean ones), the best model is the random forest due to its higher accuracy value (0.952) in the validation phase (kappa value of 0.869). The accuracy values in the testing phase for the best selected models are acceptable (between 0.839 and 0.964); therefore, the predictive capacity of the models could be acceptable for their use in real applications. This allows us to affirm that machine learning algorithms would be suitable modeling instruments to determine the geographical origin of shiitake. Full article

The shape and quantity of Lentinus edodes (commonly known as shiitake) fruiting bodies significantly affect their quality and yield. Accurate and rapid segmentation of these fruiting bodies is crucial for quality grading and yield prediction. This study proposed the YOLOv5seg-BotNet, a model for the instance segmentation of Lentinus edodes, to research its application for the mushroom industry. First, the backbone network was replaced with the BoTNet, and the spatial convolutions in the local backbone network were replaced with global self-attention modules to enhance the feature extraction ability. Subsequently, the PANet was adopted to effectively manage and integrate Lentinus edodes images in complex backgrounds at various scales. Finally, the Varifocal Loss function was employed to adjust the weights of different samples, addressing the issues of missed segmentation and mis-segmentation. The enhanced model demonstrated improvements in the precision, recall, Mask_AP, F1-Score, and FPS, achieving 97.58%, 95.74%, 95.90%, 96.65%, and 32.86 frames per second, respectively. These values represented the increases of 2.37%, 4.55%, 4.56%, 3.50%, and 2.61% compared to the original model. The model achieved dual improvements in segmentation accuracy and speed, exhibiting excellent detection and segmentation performance on Lentinus edodes fruiting bodies. This study provided technical fundamentals for future application of image detection and decision-making processes to evaluate mushroom production, including quality grading and intelligent harvesting. Full article

Shiitake mushrooms (Lentinus edodes) are renowned as the “King of mountain treasures” in China due to their abundant nutritional and health-enhancing properties. Intensive chemical investigations of the fruiting bodies and mycelium of Shiitake mushrooms (Lentinus edodes) afforded five new compounds (1–5), named lentinmacrocycles A-C and lentincoumarins A-B, along with fifteen known compounds (6–20). Their structures and absolute configurations were elucidated by extensive spectroscopic analysis, including one-and two-dimensional (1D and 2D) NMR spectroscopy, circular dichroism (CD), and high-resolution electrospray ionization mass spectrometry (HR-ESI-MS). The anti-inflammatory activity test showed that lentincoumarins A (4), (3S)-7-hydroxymellein (9), (3R)-6-hydroxymellein (11) and succinic acid (18) exhibited strong NO inhibitory effects (IC₅₀ < 35 μM), and that (3S)-5-hydroxymellein (10) and (3R)-6-hydroxymellein (11) exhibited potent TNF-α inhibitory effects (IC₅₀ < 80 μM) and were more potent than the positive control, Indomethacin (IC₅₀ = 88.5 ± 2.1 μM). The antioxidant activity test showed that (3R)-6-hydroxymellein (11) had better DPPH radical scavenging activity (IC₅₀ = 25.2 ± 0.5 μM). Full article