Perilla Frutescens Research Articles

Optimization of spray-drying conditions and quality assessment of dry extract from Perilla frutescens (L.) Britton leaves

Optimization of spray-drying conditions and quality assessment of dry extract from Perilla frutescens (L.) Britton leaves

Effects of Different Technological Forms of the Perilla frutescens in the Diet on Ruminal Fermentation, Milk and Plasma Fatty Acid Composition, Ruminal Biohydrogenation and Milk Quality in Dairy Goats.

Fatty acids can be protected by changing their structure or form against microbial activity, and the different forms of fatty acids can modulate the ruminal biohydrogenation rate and contribute to the desired fatty acid profile in milk fat. The study investigated the effects of perilla (Perilla frutescens) dietary supplementation in the diet in different technological forms (seed, oil and formaldehyde-treated oil) on milk, plasma and ruminal fatty acid composition, and milk quality in lactating goats. The four dietary treatments consisted of (1) no supplementation, basal diet (CON); (2) perilla supplementation as seed at 44.7g/kg (consisting of 20g/kg oil (PS)); (3) perilla supplementation as oil at 20g/kg (PO); (4) perilla supplementation as formaldehyde treated oil at 20g/kg (protected perilla oil [PPO]). The experiment was implemented in a double 4×4 Latin square trial design, and sampling was carried out for 7 days after 21 days of adaptation. Performance parameters were not affected by P. frutescens supplementation to the diet. PO decreased milk fat, whereas PPO increased milk fat. Milk cholesterol was not affected by P. frutescens dietary supplementation. Perilla oil supplementation in different forms to the diet did not affect ruminal pH, VFA and methane production. Perilla oil supplementation in different forms to the diet did not also affect the concentration of blood serum glucose, cholesterol and non-esterified fatty acids. Perilla supplementation to the diet increased the milk conjugated linoleic acid (CLA), C18:3n-3, C22:5n-3, C20:5n-3, C22:6n-3 and polyunsaturated fatty acid (PUFA) concentrations, and PPO group showed the greatest values. Ruminal palmitic (C16:0) acid was decreased, and in perilla groups, stearic acid (C18:0) concentration had the lowest, and ruminal c-9, t-11 CLA concentration had the highest value in PPO. It has been found that the most effective form of perilla oil in increasing milk quality is that with formaldehyde treatment (protected form). Perilla oil, which is a rich source of omega 3 in the diet, can be used to increase milk quality in goats without adversely affecting performance, ruminal fermentation and blood parameters.

Comparative analysis of deep learning and machine learning-based models for simultaneous prediction of minerals in perilla (Perilla frutescens L.) seeds using near-infrared reflectance spectroscopy

Perilla seeds contain a rich array of essential minerals, thus having the potential to address multiple micronutrient deficiencies at a time. However, traditional methods of mineral estimation are complex, time-consuming, expensive, and require technical expertise. This study includes the development of Near-Infrared Reflectance Spectroscopy (NIRS)-based prediction models for predicting five important minerals (Calcium, Copper, Magnesium, Manganese, and Phosphorus) using machine learning and deep learning techniques. Four models, including 1D Convolutional Neural Networks (1D CNNs), Artificial Neural Networks (ANNs), Random Forests (RFs), and Support Vector Regression (SVR), were developed and evaluated. The developed 1D CNN model outperformed other considered models in predicting calcium, magnesium, and phosphorus content with RPD (Residual Prediction Deviation) values of 1.75, 1.83, and 2.96, respectively. Whereas, SVR performed best in predicting copper and manganese with an RPD of 1.82 and 2.2, respectively. The 1D CNN model demonstrated R2 (Coefficient of determination) values above 0.65 for all minerals, with a maximum of 0.88 for phosphorus. In addition, the developed models performed superior as compared to the Partial Least Square Regression method (R2= 0.32). The developed models provide efficient tools for rapidly screening perilla germplasm available in global repositories, thus aiding in the selection of mineral-rich genotypes to mitigate micronutrient deficiencies.

Improved skeletal muscle mass and strength through Protamex-mediated hydrolysis of perilla seed cake: Elevated rosmarinic acid levels as a contributing factor

Perilla seed cake (PSC) is a byproduct of oil extraction from perilla seeds. It is rich in proteins and bioactive compounds. PSC was enzymatically hydrolyzed to form PSC hydrolysate (PSCH) to enhance the absorption of PSC, and their effects on muscle health in mice were compared. High performance liquid chromatography-tandem mass spectrometry analysis revealed that PSC contains several polyphenols, including rosmarinic acid (RA), caffeic acid, apigenin, and luteolin. The hydrolysate showed 1.44- and 7.04-fold increases in RA and caffeic acid contents, respectively, compared to those of PSC. The intake of PSC, PSCH, and RA significantly improved muscle mass and exercise performance in mice by upregulating protein synthesis, myogenic differentiation, oxidative muscle fiber formation, fatty acid oxidation, and mitochondrial biogenesis; however, PSCH had better promoting effects than PSC. In conclusion, PSCH improves muscle health through its bioactive compounds (particularly RA), indicating the potential of PSCH and RA in functional foods.

Association mapping analysis (AMA) for morpho-agronomic traits and leaf aromatic compounds using SSR markers in three types of Perilla crop collected from South Korea.

Perilla is a representative leafy vegetable in South Korea. As K-Food (Korean food) is in the spotlight around the world, there is also increasing interest in Western countries in Perilla crop, an annual plant belonging to the Lamiaceae family. To discover comprehensive information, including genetic and phylogenetic relationships among the 80 native Perilla accessions, using three types of data: simple sequence repeat (SSR) marker data, volatiles profile data, and morpho-agronomic data. This study conducted genotypic and phenotypic analyses on 80 Perilla accessions of three types (cultivated var. frutescens, weedy var. frutescens, weedy var. crispa) from South Korea. Five groups (G1-G5) of the 80 Perilla accessions of the three types were differentiated into two different clusters [genotype-based clustering (GTC) and phenotype-based clustering (PTC)] based on an aroma sensory phenotypic test. A total of 314 alleles were confirmed using 55 Perilla SSR primer sets, and genetic variation in the 80 Perilla accessions was evaluated. Among the three statistical analysis methods, principal coordinate analysis (PCoA) and GTC using data of the 55 Perilla SSR markers revealed perfectly consistent results, whereas PTC produced a total of six clusters. The 10 Perilla SSR markers associated with and significantly correlated with both biochemical and morphological characteristics were selected. These findings are expected to provide valuable information for developing global South Korean Perilla cultivars for further studies in Perilla crop breeding programs.

Comprehensive comparison of two colour varieties of Perillae folium by UHPLC-Q-TOF/MS analysis combining with feature-based molecular networking

Perillae Folium (PF), the leaf of Perilla frutescens (L.) Britt is extensively used as a culinary vegetable and medicinal herb in many countries. Purple PF (P. frutescens var. arguta) and green PF (P. frutescens var. frutescens) are two of the main varieties. In this study, UHPLC-Q-TOF/MS assisted with feature-based molecular networking (FBMN) was applied for chemical characterization. In total, 82 metabolites, mainly phenolic acid derivatives were identified from PF. With the help of FBMN, five organic acid glucosides together with three N-phenylpropenoyl-L-amino acids (NPAs) were identified in PF for the first time. Multivariate statistical methods were utilized for comprehensive comparison of purple and green PF profiles. 12 compounds with their relative contents varied significantly between purple and green PF were screened out. Overall, the present study offers valuable insights for chemical elucidation of PF which would be helpful for comprehensive utilization of PF resource.

Novel 3D Printed Biomaterials Based on Fish Scale Collagen and Plant Extracts and Its Hemostatic Efficacy

AbstractThis study focused on 3D printing‐preparation of novel biomaterials based on fish scale collagen and the following plant extracts: Eclipta alba L. Hassk leaf (EA), Piper betle L. leaf (PB), Perilla frutescens L. Britt leaf (PF), and Styphnolobium japonicum L. Schott flower bud (SJ). The characterizations of the obtained biomaterials were analyzed using infrared spectroscopy and stereo microscopy. Additionally, assessments of the biomaterials were conducted on the water contact angle, simulated body fluid contact angle, scratch resistance, color changes, and swelling degree in simulated body fluid. Furthermore, in‐vitro blood clotting time and the anti‐inflammatory ability of these biomaterials were also performed. The results indicated that the plant extracts contributed to modifying collagen, significantly improving the scratch resistance and water contact angle of the collagen/plant extract biomaterials. The plant extracts were dispersed consistently with the collagen matrix, impacting the vibrations of specific functional groups of collagen. Collagen/plant extract dressings exhibited great biocompatibility and anti‐inflammatory. The in‐vitro tests demonstrated that the ethanol EA extract notably enhanced the hemostatic effectiveness of collagen, suggesting the potential of collagen/plant extract biomaterials in hemostatic applications.

Bailixiang tea, an herbal medicine formula, co-suppresses TLR2/MAPK8 and TLR2/NF-κB signaling pathways to protect against LPS-triggered cytokine storm in mice

Ethnopharmacological relevanceTraditional Chinese medicine (TCM) has shown notable effectiveness and safety in managing illnesses linked to cytokine storm(CS). Bailixiang tea (BLX), an herbal medicine formula, which is a compound Chinese medicine composed of Thymus mongolicus (Ronniger) Ronniger (Bailixiang), Glycyrrhiza uralensis Fisch. (Gancao), Citrus reticulata Blanco (Chenpi), Cyperus rotundus L. (Xiangfu), and Perilla frutescens (L.) Britton (Zisu). The objective of this study was to explore the capacity of BLX in improving LPS-induced CS. Aim of the studyThis study aimed to validate the mitigating effect of BLX on CS and to further investigate its mechanism. Materials and methodsmice were orally administered BLX for 24 h after being treated with 5 mg/kg lipopolysaccharide (LPS). Histopathological observations further confirmed the significant protective effect of BLX treatment against LPS-induced lung and spleen damage. Additionally, we aimed to explore the molecular mechanism underlying its effects through blood proteomics and transcriptomics analyses. Real-Time Quantitative PCR (RT-qPCR) was utilized to detect the levels of Toll-like receptor 2 (TLR2), Matrix metalloproteinase 8 (MMP8), Matrix metalloproteinase 9 (MMP9), Integrin beta 2 (ITGB2), Mitogen-activated protein kinase 8 (MAPK8), Nuclear factor of kappa light polypeptide gene enhancer in B-cells inhibitor, epsilon (NFKBIE), Nuclear factor of kappa light polypeptide gene enhancer in B-cells 2 (NFKB2), and Glyceraldehyde-3-Phosphate Dehydrogenase (GAPDH)expressions in the lung tissue. ResultsThe results demonstrated that BLX effectively down-regulated the overproduction of interleukin 6 (IL-6) and tumor necrosis factor-α (TNF-α) in both the serum and lung and spleen tissues. Furthermore, BLX effectively mitigated the overproduction of monocyte chemoattractant protein-1 (MCP-1) in the serum. Through comprehensive multi-omics analysis, it was revealed that BLX specifically targeted and regulated TLR2/MAPK8 and TLR2/NF-κB signaling pathways, which play a crucial role in the production of key cytokines. ConclusionsThe findings of this study demonstrate that Bailixiang tea possesses the ability to alleviate lung tissue damage and inhibit the development of LPS-induced cytokine storm in mice. These effects are attributed to the tea's ability to suppress the TLR2/MAPK8 and TLR2/NF-κB pathways. Consequently, this research highlights the potential application of Bailixiang tea as a treatment option for cytokine storm.

Crucial amino acids identified in Δ12 fatty acid desaturases related to linoleic acid production in Perilla frutescens.

Perilla oil from the medicinal crop Perilla frutescens possess a wide range of biological activities and is generally used as an edible oil in many countries. The molecular basis for its formation is of particular relevance to perilla and its breeders. Here in the present study, four PfFAD2 genes were identified in different perilla cultivars, PF40 and PF70, with distinct oil content levels, respectively. Their function was characterized in engineered yeast strain, and among them, PfFAD2-1PF40, PfFAD2-1PF70 had no LA biosynthesis ability, while PfFAD2-2PF40 in cultivar with high oil content levels possessed higher catalytic activity than PfFAD2-2PF70. Key amino acid residues responsible for the enhanced catalytic activity of PfFAD2-2PF40 was identified as residue R221 through sequence alignment, molecular docking, and site-directed mutation studies. Moreover, another four amino acid residues influencing PfFAD2 catalytic activity were discovered through random mutation analysis. This study lays a theoretical foundation for the genetic improvement of high-oil-content perilla cultivars and the biosynthesis of LA and its derivatives.

Perilla frutescens leaf extracts alleviate acute lung injury in mice by inhibiting KAT2A

Ethnopharmacological relevanceAcute lung injury (ALI) can lead to respiratory failure and even death. KAT2A is a key target to suppress the development of inflammation. A herb, perilla frutescens, is an effective treatment for pulmonary inflammatory diseases with anti-inflammatory effects; however, its mechanism of action remains unclear.Aim of the study: The purpose of this study was to investigate the therapeutic effect and underlying mechanism of perilla frutescens leaf extracts (PLE), in the treatment of ALI by focusing on its ability to treat inflammation. Materials and methodsIn vivo and in vitro models of ALI induced by LPS. Respiratory function, histopathological changes of lung, and BEAS-2B cells damage were assessed upon PLE. This effect is also tested under conditions of KAT2A over expression and KAT2A silencing. ResultsPLE significantly attenuated LPS-induced histopathological changes in the lungs, improved respiratory function, and increased survival rate from LPS stimuation background in mice. PLE remarkably suppressed the phosphorylation of STAT3, AKT, ERK (1/2) and the release of cytokines (IL-6, TNF-α, and IL-1β) induced by LPS via inhibiting the expression of KAT2A. ConclusionsPLE has a dose-dependent anti-inflammatory effect by inhibiting KAT2A expression to suppress LPS-induced ALI n mice. Our study expands the clinical indications of the traditional medicine PLE and provide a theoretical basis for clinical use of acute lung injury.

Astragalus membranaceus, Nigella sativa, and Perilla frutescens as Immunomodulators-Molecular Mechanisms and Clinical Effectiveness in Allergic Diseases.

Plants are the source of numerous remedies in modern medicine, and some of them have been studied due to their potential immunomodulatory activity. Astragalus membranaceus Fisch. ex Bunge (A. membranaceus), Nigella sativa L. (N. sativa), and Perilla frutescens (L.) Britton (P. frutescens) are plant species used in traditional medicine for the treatment of various diseases. Their potential to act as immunomodulatory, anti-inflammatory, and anti-allergic agents makes them interesting for investigating their clinical potential in alleviating the symptoms of allergic diseases. Allergy affects a large number of people; according to some sources more than 30% of the world population suffer from some type of allergic reaction, with pollen allergy as the most common type. Treatment is usually pharmacological and may not be completely effective or have side effects. Thus, we are seeking traditional medicine, mostly medicinal plants, with promising potential for alleviating allergy symptoms. A literature overview was conducted employing databases such as Scopus, PubMed, Web of Science, Springer, and Google Scholar. This manuscript summarizes recent in vivo preclinical and clinical studies on three species with immunomodulatory activity, provides a comparison of their anti-allergic effects, and underlines the potential of their application in clinical practice. The obtained results confirmed their efficacy in the in vivo and clinical studies, but also emphasize the problem of phytochemical characterization of the species and difference between tested doses. More clinical trials with standardized protocols (defined active molecules, dosage, side effects) are required to obtain safe and effective herbal drugs.

Multivariate Data Analysis Assisted Mining of Nutri-rich Genotypes from North Eastern Himalayan Germplasm Collection of Perilla (Perilla frutescens L.).

Understanding the nutritional diversity in Perilla (Perilla frutescens L.) is essential for selecting and developing superior varieties with enhanced nutritional profiles in the North Eastern Himalayan (NEH) region of India. In this study, we assessed the nutritional composition of 45 diverse perilla germplasm collected from five NEH states using standard protocols and advanced analytical techniques. Significant variability was observed in moisture (0.39-11.67%), ash (2.59-7.13%), oil (28.65-74.20%), protein (11.05-23.15%), total soluble sugars (0.34-3.67%), starch (0.01-0.55%), phenols (0.03-0.87%), ferric reducing antioxidant power (0.45-1.36%), palmitic acid (7.06-10.75%), stearic acid (1.96-2.29%), oleic acid (8.11-13.31%), linoleic acid (15.18-22.74%), and linolenic acid (55.47-67.07%). Similarly, significant variability in mineral content (ppm) was also observed for aluminium, calcium, cobalt, chromium, copper, iron, potassium, magnesium, manganese, molybdenum, sodium, nickel, phosphorus, and zinc. Multivariate analyses, including hierarchical clustering analysis (HCA) and principal component analysis (PCA), revealed the enriched nutritional diversity within the germplasm. Correlation analysis indicated significant positive and negative relationships between nutritional parameters, indicating potential biochemical and metabolic interactions present in the perilla seeds. TOPSIS-based ranking identified promising genotypes for functional foods, pharmaceuticals, and nutritional applications. This study provides a first in-depth report of the nutritional composition and diversity of perilla germplasm in the NEH region, thus aiding in the identification of superior varieties for food and nutritional diversification and security.

Unlocking the antibacterial activity and mechanisms of ε-poly-l-Lysine and perilla combination against Pseudomonas fluorescens: Insights from non-targeted metabolomic analyses

Perilla frutescens extract has been acknowledged for its robust antibacterial properties, while ε-Poly-Lysine (ε-PL) stands as a naturally occurring food preservative. However, their combined antibacterial activity and mechanisms has not been fully understood. Therefore, the aim of this study was to elucidate the combined antibacterial activity of the ε-PL/Perilla combination against Pseudomonas fluorescens. The findings unveiled a significant antibacterial efficacy of ε-PL and perilla against P. fluorescens, respectively. Upon treatment with ε-PL and perilla, a decline in membrane potential (MP) was observed. These alterations were further accompanied by reductions in nucleic acid content, metabolic activity, and respiratory chain dehydrogenase activity. And by morphological observation, it was found that the cells treated with perilla or ε-PL were severely broken. The metabolomic analysis following treatment with ε-PL and perilla unveiled substantial shifts in a multitude of metabolites. Multivariate statistical analysis showed that ε-PL and perilla hindered nucleotide metabolism and interfered with carbohydrate, amino acid, and lipid metabolism, impacting cell wall biosynthesis, cell membrane structure, and genetic material expression, leading to growth inhibition and bacterial demise. Collectively, these outcomes provide fresh insights into the intricate mechanisms underlying the inhibitory action of ε-PL and perilla against P. fluorescens.

Impact of Irpex lenis and Schizophyllum commune endophytic fungi on Perilla frutescens: enhancing nutritional uptake, phytochemicals, and antioxidant potential

BackgroundEndophytic fungi (EF) reside within plants without causing harm and provide benefits such as enhancing nutrients and producing bioactive compounds, which improve the medicinal properties of host plants. Selecting plants with established medicinal properties for studying EF is important, as it allows a deeper understanding of their influence. Therefore, the study aimed to investigate the impact of EF after inoculating the medicinal plant Perilla frutescens, specifically focusing on their role in enhancing medicinal properties.ResultsIn the current study, the impact of two EF i.e., Irpex lenis and Schizophyllum commune isolated from A. bracteosa was observed on plant Perilla frutescens leaves after inoculation. Plants were divided into four groups i.e., group A: the control group, group B: inoculated with I. lenis; group C: inoculated with S. commune and group D: inoculated with both the EF. Inoculation impact of I. lenis showed an increase in the concentration of chlorophyll a (5.32 mg/g), chlorophyll b (4.46 mg/g), total chlorophyll content (9.78 mg/g), protein (68.517 ± 0.77 mg/g), carbohydrates (137.886 ± 13.71 mg/g), and crude fiber (3.333 ± 0.37%). Furthermore, the plants inoculated with I. lenis showed the highest concentrations of P (14605 mg/kg), Mg (4964.320 mg/kg), Ca (27389.400 mg/kg), and Mn (86.883 mg/kg). The results of the phytochemical analysis also indicated an increased content of total flavonoids (2.347 mg/g), phenols (3.086 mg/g), tannins (3.902 mg/g), and alkaloids (1.037 mg/g) in the leaf extract of P. frutescens inoculated with I. lenis. Thus, overall the best results of inoculation were observed in Group B i.e. inoculated with I. lenis. GC-MS analysis of methanol leaf extract showed ten bioactive constituents, including 9-Octadecenoic acid (Z)-, methyl ester, and hexadecanoic acid, methyl ester as major constituents found in all the groups of P. frutescens leaves. The phenol (gallic acid) and flavonoids (rutin, kaempferol, and quercetin) were also observed to increase after inoculation by HPTLC analysis. The enhancement in the phytochemical content was co-related with improved anti-oxidant potential which was analyzed by DPPH (% Inhibition: 83.45 µg/ml) and FRAP (2.980 µM Fe (II) equivalent) assay as compared with the control group.ConclusionInoculation with I. lenis significantly enhances the uptake of nutritional constituents, phytochemicals, and antioxidant properties in P. frutescens, suggesting its potential to boost the therapeutic properties of host plants.Graphical

Combining the natural deep eutectic solvents and high-speed-shearing-enzymatic-assisted extraction to recover flavonoids and terpenoids from perilla leaves

This research was conducted for the purpose of extracting flavonoids and terpenoids from perilla leaves (Perilla frutescens var. crispa) using high-speed-shearing-enzymatic-assisted extraction (HSSEAE) in combination with natural deep eutectic solvents (NADES). Various solvents were examined to select the most suitable for further extraction experiments. The one-factor experiment was employed to investigate the influence of different parameters of HSSEAE on the efficacy of flavonoid and terpenoid extraction from perilla leaves. The Plackett–Burman Design Model was used to evaluate the significance of independent variables on the dependent responses in the optimal condition ranges. The Box-Behnken Design Model was employed to determine the optimal extracting conditions for obtaining bioactive compounds from perilla leaves. The highest yield of total flavonoid contents (TFC) and total terpenoid contents (TTC) using HSSEAE was 40.37 ± 1.02 mg rutin acid equivalent per gram of dry weight (mg RE/g dw) and 37.93 ± 1.59 mg ursolic acid equivalent per gram of dry weight (mg UE/g dw), respectively. Meanwhile, the traditional extraction (TrE) process using acidified ethanol as solvent yielded lower results: TFC: 8.7 ± 0.17 mg RE/g dw; and TTC: 8.04 ± 0.55 mg UE/g dw. The second-order extraction kinetics model was used to figure out the principle of the HSSEAE process. Scanning electron microscope and X-ray diffraction were employed to indicate the surface morphology crystallinity of perilla leaves before and after HSSEAE. This extraction approach can be considered highly effective and sustainable for the recovery process of bioactive compounds originating from plants.

Luteolin-7-diglucuronide, a novel PTP1B inhibitor, ameliorates hepatic stellate cell activation and liver fibrosis in mice.

Liver fibrosis, one of the leading causes of morbidity and mortality worldwide, lacks effective therapy. The activation of hepatic stellate cells (HSCs) is the dominant event in hepatic fibrogenesis. Luteolin-7-diglucuronide (L7DG) is the major flavonoid extracted from Perilla frutescens and Verbena officinalis. Their beneficial effects in the treatment of liver diseases were well documented. In this study we investigated the anti-fibrotic activities of L7DG and the potential mechanisms. We established TGF-β1-activated mouse primary hepatic stellate cells (pHSCs) and human HSC line LX-2 as in vitro liver fibrosis models. Co-treatment with L7DG (5, 20, 50 μM) dose-dependently decreased TGF-β1-induced expression of fibrotic markers collagen 1, α-SMA and fibronectin. In liver fibrosis mouse models induced by CCl4 challenge alone or in combination with HFHC diet, administration of L7DG (40, 150 mg·kg-1·d-1, i.g., for 4 or 8 weeks) dose-dependently attenuated hepatic histopathological injury and collagen accumulation, decreased expression of fibrogenic genes. By conducting target prediction, molecular docking and enzyme activity detection, we identified L7DG as a potent inhibitor of protein tyrosine phosphatase 1B (PTP1B) with an IC50 value of 2.10 µM. Further studies revealed that L7DG inhibited PTP1B activity, up-regulated AMPK phosphorylation and subsequently inhibited HSC activation. This study demonstrates that the phytochemical L7DG may be a potential therapeutic candidate for the treatment of liver fibrosis.

Ursolic Acid from Perilla frutescens (L.) Britt. Regulates Zymosan-Induced Inflammatory Signaling in Raw 264.7

Background: Inflammation is considered one of the hallmarks of inflammatory diseases. Ursolic acid (UA) may exert therapeutic effects; however, the anti-inflammatory effects of UA require further study. Objectives: This study evaluated the effects of UA from Perilla frutescens (L.) Britt. leaves on pro-inflammatory activity induced by zymosan. Methods: Ursolic acid was extracted from P.frutescens (L.) Britt. leaves using ethanol, and thin layer chromatography (TLC) and high-performance liquid chromatography (HPLC) were used for UA analysis. The effect of UA on zymosan-induced cytokine production was evaluated by enzyme-linked immunosorbent assay (ELISA). Western blotting detected phosphorylation of extracellular signal-regulated kinases (ERK) 1/2, p38, and p47phox in Raw 264.7 cells. Reactive oxygen species (ROS) were measured using a specific immunofluorescent dye. Nicotinamide adenine dinucleotide phosphate (NADPH) oxidase activities were assayed using a luminometer. Results: Zymosan-induced tumor necrosis factor (TNF)-α, interleukin (IL)-6, and IL-12 p40 in macrophages were significantly inhibited by UA (30 μg/mL, P < 0.001). In addition, UA (30 μg/mL, P < 0.001) significantly inhibited zymosan-induced phosphorylation of ERK1/2, p38, p47phox, ROS, and NADPH oxidase in the cells. Importantly, blockade of Dectin-1 using laminarin, a pure β-glucan, markedly abrogated the UA-mediated inhibition of zymosan-induced production of inflammatory cytokines, ERK1/2, p38, ROS, and p47phox phosphorylation in macrophages. Conclusions: Collectively, these data indicate that UA regulates zymosan-induced inflammatory responses and suggest novel approaches for managing excessive inflammatory responses.

Identification of High Linoleic Acid Varieties in Tetraploid perilla through Gamma-ray Irradiation and CRISPR/Cas9.

Perilla [Perilla frutescens (L.) var frutescens] is a traditional oil crop in Asia, recognized for its seeds abundant in α-linolenic acid (18:3), a key omega-3 fatty acid known for its health benefits. Despite the known nutritional value, the reason behind the higher 18:3 content in tetraploid perilla seeds remained unexplored. Gamma irradiation yielded mutants with altered seed fatty acid composition. Among the mutants, DY-46-5 showed a 27% increase in 18:2 due to the 4-bp deletion of PfrFAD3b, and NC-65-12 displayed a 16% increase in 18:2 due to the loss of function of PfrFAD3a through a large deletion. Knocking out both copies of FATTY ACID DESATURASE3 (PfrFAD3a and PfrFAD3b) simultaneously using CRISPR/Cas9 resulted in an increase in 18:2 by up to 75% and a decrease in 18:3 to as low as 0.3% in seeds, emphasizing the pivotal roles of both genes in 18:3 synthesis in tetraploid perilla. Furthermore, diploid Perilla citriodora, the progenitor of cultivated tetraploid perilla, harbors only PfrFAD3b, with a fatty acid analysis revealing lower 18:3 levels than tetraploid perilla. In conclusion, the enhanced 18:3 content in cultivated tetraploid perilla seeds can be attributed to the acquisition of two FAD3 copies through hybridization with wild-type diploid perilla.

Development and Validation of an HPLC/PDA Methodology for Assessing the Quality of Folium Perilla Frutescens under Diverse Soil Conditions and Growth Stages Based on the Bioactive Compound Rosmarinic Acid

Development and Validation of an HPLC/PDA Methodology for Assessing the Quality of Folium Perilla Frutescens under Diverse Soil Conditions and Growth Stages Based on the Bioactive Compound Rosmarinic Acid

Comparative analysis of modified partial least squares regression and hybrid deep learning models for predicting protein content in Perilla (Perilla frutescens L.) seed meal using NIR spectroscopy

Perilla seed meal (PSM), a byproduct of oil extraction from Perilla frutescens L. seeds, is rich in protein (24.26–42.85%) and holds potential as an economical and sustainable animal feed. Traditional methods for assessing protein content are labor-intensive and costly. This study explores Near-Infrared Reflectance Spectroscopy (NIRS) for the rapid, precise, and non-destructive determination of PSM protein content in 126 samples. We developed and evaluated Modified Partial Least Squares (MPLS) regression and deep learning (DL) models, including 1D-CNN (Convolutional Neural Network), LSTM Long Short-Term Memory), and hybrid architectures incorporating skip connections, inception modules, and spectral derivatives. Model performance was validated externally using parameters such as RSQexternal (R-squared), bias, SEP(C) (Standard Error of Prediction), RPD (Residual Prediction Deviation), slope, SD (Standard Deviation), p-value (≥0.05), and the correlation between reference and predicted values. The 1D CNN-LSTM-Inception derivative 1 model achieved the best performance (RPD: 8.0, RSQexternal: 0.98), followed by the MPLS-based model (RPD: 4.88, RSQexternal: 0.96) and the 1D CNN derivative 1 model (RPD: 3.07, RSQexternal: 0.96). These models provide a reliable and advanced technology for the non-destructive screening of PSM protein content, thus aiding in the rapid identification and selection of superior perilla chemotypes from varied backgrounds.