NPJ Science of Food最新文献_第10页

Riboswitch-targeted improvement of lysine production in Bacillus and Priestia species. 芽孢杆菌和Priestia菌种赖氨酸产量的核糖体开关改良。

IF 9.7 1区农林科学

NPJ Science of Food Pub Date : 2026-06-19 DOI: 10.1038/s41538-026-00938-w

Tessa S Canoy, Pablo Atienza Lopez, Emma S Wiedenbein, Helga Sato, Frej Larsen, Eoghan T Reilly, Stefan E Seemann, Jan Gorodkin, Lene Jespersen, Dennis S Nielsen

{"title":"Riboswitch-targeted improvement of lysine production in Bacillus and Priestia species.","authors":"Tessa S Canoy, Pablo Atienza Lopez, Emma S Wiedenbein, Helga Sato, Frej Larsen, Eoghan T Reilly, Stefan E Seemann, Jan Gorodkin, Lene Jespersen, Dennis S Nielsen","doi":"10.1038/s41538-026-00938-w","DOIUrl":"10.1038/s41538-026-00938-w","url":null,"abstract":"Lysine is an essential amino acid often limited in plant-based foods, making its enrichment in fermented foods a key nutritional goal. Bacillus and Priestia species are natural lysine producers, but their biosynthetic capacity is constrained by riboswitch regulation of the aspartokinase gene lysC. In this study, we employed mutagenesis using the lysine analogue aminoethylcysteine (AEC) to generate lysine-overproducing strains. AEC-resistant mutants carried distinct mutations in the lysC riboswitch and in lysine biosynthetic and transporter genes. Several mutants showed significantly increased lysine production in defined media. One riboswitch mutant produced over 150-fold more free lysine than its wild type in defined media and threefold during oat fermentation, establishing proof of concept for lysine enrichment in food matrices. Structural predictions revealed that lysC riboswitch mutations occurred near the lysine binding pocket, suggesting altered ligand-binding dynamics. These findings highlight riboswitch-targeted mutagenesis as a promising non-recombinant strategy to enhance lysine production in food fermentations.","PeriodicalId":19367,"journal":{"name":"NPJ Science of Food","volume":" ","pages":""},"PeriodicalIF":9.7,"publicationDate":"2026-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13638988/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148284137","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multi-omics combined analysis of turmeric volatile oil alleviating allergic rhinitis through the JNK/MAPK-Relb/NF-κB pathway. 姜黄挥发油通过JNK/MAPK-Relb/NF-κB通路缓解变应性鼻炎的多组学联合分析

IF 9.7 1区农林科学

NPJ Science of Food Pub Date : 2026-06-18 DOI: 10.1038/s41538-026-00937-x

Liying Shang, Shuai Bian, Xin Wang, Yanan Xu, Mingyue Wang, Daqing Zhao, Wei Zhang, Xueyuan Bai

{"title":"Multi-omics combined analysis of turmeric volatile oil alleviating allergic rhinitis through the JNK/MAPK-Relb/NF-κB pathway.","authors":"Liying Shang, Shuai Bian, Xin Wang, Yanan Xu, Mingyue Wang, Daqing Zhao, Wei Zhang, Xueyuan Bai","doi":"10.1038/s41538-026-00937-x","DOIUrl":"10.1038/s41538-026-00937-x","url":null,"abstract":"We extracted turmeric volatile oil (TVO) from turmeric using supercritical CO₂ extraction for potential allergic rhinitis (AR) therapy. The volatile components of TVO were analyzed using gas chromatography mass spectrometry and gas chromatography-ion migration spectrometry. The pharmacological effects of TVO on ovalbumin (OVA)-induced AR in mice were evaluated through pathological markers, microbiomics, metabolomics, and proteomics. An inflammatory model using human mast cells (HMCs) was established to assess whether TVO could mitigate inflammation. TVO effectively alleviated AR symptoms in OVA-sensitized mice and reduced inflammation in lipopolysaccharide- and interferon-γ-treated HMCs. TVO suppressed the inflammatory cytokine production, restored the nasal microbiota composition, and regulated serum metabolic profiles. Proteomic analysis using four-dimensional data-independent acquisition indicated that the mitogen-activated protein kinase (MAPK) and transcription factor nuclear factor-κB (NF-κB) signaling pathways are involved in TVO's anti-inflammatory mechanism. Accordingly, TVO inhibited the activation of MAPK and NF-κB pathways in the OVA mouse model and the inflammatory HMCs model. Jun N-terminal kinase and Relb were identified as key mediators in the therapeutic action of TVO, with Relb knockdown enhancing its anti-inflammatory effect, suggesting that TVO has potential as a therapeutic agent for alleviating AR.","PeriodicalId":19367,"journal":{"name":"NPJ Science of Food","volume":" ","pages":""},"PeriodicalIF":9.7,"publicationDate":"2026-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13639022/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148272274","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Potential role of L-citrulline in regulating exercise performance and muscle protein metabolism. l -瓜氨酸在调节运动表现和肌肉蛋白质代谢中的潜在作用。

IF 9.7 1区农林科学

NPJ Science of Food Pub Date : 2026-06-18 DOI: 10.1038/s41538-026-00943-z

Xiaokang Lv, Yating Song, Tian Guo, Jinling Hua

引用次数: 0

Mechanistic study of FA-PG3 nanoparticles promoting adipose browning through the PPARγ and PRDM16-UCP1 pathway in severe pediatric obesity. FA-PG3纳米颗粒通过PPARγ和PRDM16-UCP1途径促进重度儿童肥胖脂肪褐变的机制研究

IF 9.7 1区农林科学

NPJ Science of Food Pub Date : 2026-06-18 DOI: 10.1038/s41538-026-00865-w

Xiaoli Zhang, Yuan Tian, Shengqun Xu, Dan Zhang

{"title":"Mechanistic study of FA-PG3 nanoparticles promoting adipose browning through the PPARγ and PRDM16-UCP1 pathway in severe pediatric obesity.","authors":"Xiaoli Zhang, Yuan Tian, Shengqun Xu, Dan Zhang","doi":"10.1038/s41538-026-00865-w","DOIUrl":"10.1038/s41538-026-00865-w","url":null,"abstract":"Food-derived bioactive compounds offer an attractive and sustainable approach to metabolic disease prevention, yet mechanistic evidence supporting their efficacy in pediatric obesity remains limited. This study investigates the thermogenic potential of ferulic acid (FA), a plant-derived phenolic compound, when delivered via a dendrimer-based nanocarrier. Using an integrative strategy combining network pharmacology, molecular docking, cellular assays, animal models, and clinical biomarker analysis, we demonstrate that FA-loaded generation 3 PAMAM nanoparticles (FA-PG3) effectively activate adipose tissue thermogenesis. Computational analyses identified UCP1 as a central molecular target of FA, with PPARγ and PRDM16 acting as critical upstream regulators. FA-PG3 nanoparticles exhibited optimized nanoscale properties and sustained FA release. In vitro, FA-PG3 promoted beige adipocyte differentiation, enhanced mitochondrial respiration, and increased thermogenic gene expression. In vivo, FA-PG3 improved energy expenditure, insulin sensitivity, and adipose browning in obese mice, while UCP1 silencing largely abolished these metabolic benefits. Notably, children with severe obesity exhibited significantly lower circulating levels of browning-associated adipokines, supporting the clinical relevance of targeting thermogenic pathways. Our findings highlight a previously underappreciated food-derived, nano-enabled strategy for metabolic reprogramming and position FA-PG3 as a promising translational candidate for addressing pediatric obesity through adipose tissue thermogenesis.","PeriodicalId":19367,"journal":{"name":"NPJ Science of Food","volume":" ","pages":""},"PeriodicalIF":9.7,"publicationDate":"2026-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13649653/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148278159","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Amino acid balancing and microalgal proteins (Spirulina) improve production performance and milk quality in dairy cows under low-protein diets. 氨基酸平衡和微藻蛋白（螺旋藻）可提高低蛋白饲粮奶牛的生产性能和牛奶品质。

IF 9.7 1区农林科学

NPJ Science of Food Pub Date : 2026-06-16 DOI: 10.1038/s41538-026-00933-1

Tianle He, Wenyi Ren, Shuangming Yang, Jinni Bai, Yajun Guo, Yongjiang Wu, Jinping Shi, Caijuan Yue

{"title":"Amino acid balancing and microalgal proteins (Spirulina) improve production performance and milk quality in dairy cows under low-protein diets.","authors":"Tianle He, Wenyi Ren, Shuangming Yang, Jinni Bai, Yajun Guo, Yongjiang Wu, Jinping Shi, Caijuan Yue","doi":"10.1038/s41538-026-00933-1","DOIUrl":"10.1038/s41538-026-00933-1","url":null,"abstract":"Microalgal protein (MP, Spirulina) is a highly promising novel sustainable protein resource, yet the mechanisms by which it regulates the production performance and milk quality of lactating dairy cows remain unclear. This study elucidates the regulatory mechanisms by which amino acid balancing and MP supplementation modulate production performance and milk quality in mid-lactation dairy cows fed low-protein diet (LPD). Results demonstrated that dietary interventions significantly altered milk composition. To elucidate the underlying molecular mechanisms, proteomic and metabolomic analyses were employed, leading to the identification of 1186 differentially expressed proteins (DEPs) and 1167 differentially expressed metabolites (DEMs). Key signaling molecules, such as GNB1, GNG5, GNG10, and GRB2, interacted with metabolic hubs like α-ketoglutaric acid/Glutamic acid within a regulatory network, enhancing amino acid sensing and signal transduction. The observed coordinated changes in key signaling molecules and metabolic hubs suggest that amino acid sensing and signal transduction pathways may be activated, potentially promoting energy metabolism and nitrogen conversion efficiency. The identified key molecular markers of milk quality lay a scientific basis for the production of high-quality dairy raw materials and the development of value-added dairy products.","PeriodicalId":19367,"journal":{"name":"NPJ Science of Food","volume":" ","pages":""},"PeriodicalIF":9.7,"publicationDate":"2026-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13631306/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148265321","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Leveraging large language models to maintain a branded food product database. 利用大型语言模型来维护品牌食品数据库。

IF 9.7 1区农林科学

NPJ Science of Food Pub Date : 2026-06-16 DOI: 10.1038/s41538-026-00909-1

Pascal Hauff, Carolin Krems, Jan Kohl

{"title":"Leveraging large language models to maintain a branded food product database.","authors":"Pascal Hauff, Carolin Krems, Jan Kohl","doi":"10.1038/s41538-026-00909-1","DOIUrl":"10.1038/s41538-026-00909-1","url":null,"abstract":"Branded food data are essential for assessing contemporary dietary behavior and the global food environment. However, processing such data is challenging due to its vast, rapidly changing nature, variable quality, and numerous sources. To address these limitations, we developed a fully automated, large language model (LLM)-powered pipeline for collecting, standardizing, and enriching branded food data, enabling ingredient-level analyses, and facilitating estimation of ingredient quantities and undeclared nutrient content. Evaluation of LLM performance demonstrated that a fine-tuned model outperformed the human experts in parsing and mapping product data. Non-fine-tuned LLMs showed insufficient performance, whereas even modest amounts of fine-tuning data substantially improved results. Overall, LLMs provide a scalable approach for processing branded food data and supporting more consistent and standardized data curation, with performance exceeding that of an individual human expert. These results highlight the potential of LLMs to transform the management and analysis of complex, large-scale food databases.","PeriodicalId":19367,"journal":{"name":"NPJ Science of Food","volume":"10 1","pages":""},"PeriodicalIF":9.7,"publicationDate":"2026-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13273058/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148265458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Cystofilobasidium ferigula co-production of lipids and carotenoids using crude glycerol. 利用粗甘油生产脂类和类胡萝卜素的铁囊泡孢子虫。

IF 9.7 1区农林科学

NPJ Science of Food Pub Date : 2026-06-15 DOI: 10.1038/s41538-026-00935-z

Andreísa Teixeira de Castro, Angélica Cristina de Souza, Taís Teixeira das Neves, Jenaina Ribeiro Soares, Raphael Longuinhos Monteiro Lobato, Rosane Freitas Schwan, Disney Ribeiro Dias

{"title":"Cystofilobasidium ferigula co-production of lipids and carotenoids using crude glycerol.","authors":"Andreísa Teixeira de Castro, Angélica Cristina de Souza, Taís Teixeira das Neves, Jenaina Ribeiro Soares, Raphael Longuinhos Monteiro Lobato, Rosane Freitas Schwan, Disney Ribeiro Dias","doi":"10.1038/s41538-026-00935-z","DOIUrl":"10.1038/s41538-026-00935-z","url":null,"abstract":"This research optimized culture conditions to enhance the concurrent synthesis of lipids and carotenoids by Cystofilobasidium ferigula CCMA 1623 using crude glycerol as a low-cost substrate. Despite limited biotechnological studies on this yeast, a response surface methodology with a central composite design was applied to examine the influence of yeast extract levels, temperature, and aeration. Gas chromatography-mass spectrometry (GC-MS) identified a fatty acid profile predominantly composed of stearic, palmitic, oleic (omega-9), and linoleic (omega-6) acids similar to vegetable oils. Raman spectroscopy was employed as a rapid, non-destructive analytical tool to detect molecular signatures consistent with lipid and carotenoid-type compounds in the biomass, providing complementary structural evidence to support compositional and functional analyses. The carotenoid extract exhibited notable antioxidant activity as determined by the 2,2'-azino-bis (3-ethylbenzothiazoline-6-sulfonic) acid radical scavenging assay (ABTS), the ferric reducing antioxidant power assay (FRAP), and the 2,2-diphenyl-1-picrylhydrazyl free radical scavenging assay (DPPH). Under optimized conditions, the cell extract showed 52.89 ± 2.55% lipid content (1.57 ± 0.25 g/L) and 107.6 ± 2.4 µg/g total carotenoids, supporting its potential as a sustainable platform for the biotechnological production of high-value metabolites.","PeriodicalId":19367,"journal":{"name":"NPJ Science of Food","volume":" ","pages":""},"PeriodicalIF":9.7,"publicationDate":"2026-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13631338/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148258969","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Integrating dietary patterns and metabolomics with machine learning for metabolic syndrome risk assessment in a rural population. 将饮食模式和代谢组学与机器学习相结合，用于农村人群代谢综合征风险评估。

IF 9.7 1区农林科学

NPJ Science of Food Pub Date : 2026-06-15 DOI: 10.1038/s41538-026-00924-2

Ming Sun, Yixin Zhang, Jiajin Hu, Yang Yu, Yang Liu, Zhaoqing Sun, Liqiang Zheng, Yanan Ma, Deliang Wen

{"title":"Integrating dietary patterns and metabolomics with machine learning for metabolic syndrome risk assessment in a rural population.","authors":"Ming Sun, Yixin Zhang, Jiajin Hu, Yang Yu, Yang Liu, Zhaoqing Sun, Liqiang Zheng, Yanan Ma, Deliang Wen","doi":"10.1038/s41538-026-00924-2","DOIUrl":"10.1038/s41538-026-00924-2","url":null,"abstract":"This study aimed to identify dietary patterns and metabolomic signatures associated with metabolic syndrome (MetS) and develop machine learning models integrating both dietary and metabolomic data for risk assessment. In this cross-sectional study of 2810 adults, four dietary patterns derived using principal component analysis were associated with MetS. Serum metabolomic profiling was conducted in 400 participants using liquid chromatography-tandem mass spectrometry. Metabolic signatures of the meat and traditional Chinese patterns remained positively associated with MetS, whereas the rice and tuber pattern metabolic signature remained inversely associated. Metabolomic analysis revealed 71 differential metabolites associated with MetS, including elevated monoacylglycerols and decreased metabolites such as 4-Hydroxyisoleucine. A metabolomic risk score based on key metabolites showed a strong association with MetS (OR = 23.55, 95% CI: 11.77-47.12). Integrating dietary patterns with MetS-specific biomarkers significantly improved risk assessment models (AUC: 0.759-0.820) compared to using dietary patterns and pattern-associated metabolites (AUC: 0.640-0.709), with the Support Vector Machine (SVM) model performing optimally (AUC: 0.820). Specific dietary patterns and their associated metabolomic signatures are significantly associated with MetS. Integrating dietary and metabolomic data markedly improves the SVM model's risk assessment accuracy for MetS risk, offering a robust approach for precision prevention in high-risk populations.","PeriodicalId":19367,"journal":{"name":"NPJ Science of Food","volume":" ","pages":""},"PeriodicalIF":9.7,"publicationDate":"2026-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13631295/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148258938","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Comprehensive multi-omics analysis of Mengding bud yellow tea in the intangible cultural heritage: insights into taste formation. 非物质文化遗产蒙定芽黄茶多组学综合分析：品味形成的洞见。

IF 9.7 1区农林科学

NPJ Science of Food Pub Date : 2026-06-13 DOI: 10.1038/s41538-026-00930-4

Jingyi Xu, Peida Luo, Mingji Xie, Cheng Liu, Xin Li, Jianping Zhao, Murong Zheng, Changhui Chen, Bo Sun, Chunlei He, Jinlin Bian, Xiao Du

{"title":"Comprehensive multi-omics analysis of Mengding bud yellow tea in the intangible cultural heritage: insights into taste formation.","authors":"Jingyi Xu, Peida Luo, Mingji Xie, Cheng Liu, Xin Li, Jianping Zhao, Murong Zheng, Changhui Chen, Bo Sun, Chunlei He, Jinlin Bian, Xiao Du","doi":"10.1038/s41538-026-00930-4","DOIUrl":"10.1038/s41538-026-00930-4","url":null,"abstract":"Mengding bud yellow tea (MDBYT) is a renowned Chinese yellow tea characterized by its mellow, umami, and sweet taste. This study integrated flavoromics and metabolomics to investigate dynamic changes in non-volatile metabolites and sensory attributes during traditional \"three yellowings and three fryings\" processing. Sensory evaluation revealed progressive quality improvement, with the yellowing critical for enhancing umami and sweetness. Untargeted metabolomics identified 156 differentially abundant compounds. Theanine glucoside emerged as a potential contributor to the characteristic taste. KEGG pathway analysis highlighted amino acid biosynthesis and flavonoid metabolism as significantly enriched. Comparative metabolomic analysis with green tea identified 19 potential biomarkers, prominently including N-ethyl-2-pyrrolidinone-substituted flavan-3-ols (EPSFs), which were the most prominent. Correlation analysis between biomarkers and sensory attributes revealed distinct patterns in yellow and green teas, supporting their potential functional roles. These findings provide systematic and novel insights into the taste characteristics and underlying formation mechanisms of yellow tea.","PeriodicalId":19367,"journal":{"name":"NPJ Science of Food","volume":" ","pages":""},"PeriodicalIF":9.7,"publicationDate":"2026-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13619563/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148252554","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Artificial intelligence in food safety. 食品安全中的人工智能。

IF 9.7 1区农林科学

NPJ Science of Food Pub Date : 2026-06-11 DOI: 10.1038/s41538-026-00925-1

Floor van Meer, Masami Takeuchi, Phillis E Ochieng, Raffaella Tavelli, Arjen Gerssen, Bas H M van der Velden

引用次数: 0