OBJECTIVE: To develop a user-friendly visualization application for the automatic annotation of Human Phenotype Ontology (HPO) terms based on large language models and retrieval-augmented generation (RAG) technology, and to validate its performance in an authoritative case dataset. METHODS: By integrating the domestic open-source large language model DeepSeek-V3 with RAG technology, an interactive web application was deployed on the Streamlit cloud platform. Using only the latest official HPO dataset as the data source, the lightweight sentence-embedding model BAAI/bge-small-en-v1.5 was employed to construct a FAISS vector index. During the online phase, a four-step closed-loop process is automatically completed: multilingual translation, phenotype phrase extraction, RAG candidate retrieval, term mapping, and official database validation. 121 English case reports publicly released by BMJ Case Reports and Oxford Medical Case Reports (with a gold-standard HPO set of 1 794 terms) were selected for application validation. Precision, recall, and F1 score were calculated and compared horizontally with traditional dictionary tools, standalone large language models, and the similar application "RAG-HPO". Finally, replace the model with the more advanced ChatGPT-5 and evaluate its performance on the newly extracted dataset. RESULTS: An HPO term automatic annotation visualization application named PhenoRAG, based on large language models and RAG technology, was successfully developed. Users can access it directly via a web link. Across the 112 cases, a total of 2 150 HPO terms were generated; 2,064 (96.0%) were fully validated by the official database, with a hallucination rate of 1.3% and an HPO ID-name mismatch rate of 2.7%. After deduplication, 1,906 terms remained for testing. The overall precision was 63.65%, recall was 67.34%, and F1 was 65.44%, significantly outperforming traditional annotation tools (F1: 0.45-0.49, P < 0.001). Although PhenoRAG's F1 was lower than that of RAG-HPO (F1 = 0.78, P < 0.001), which relies on a manually constructed synonym database of 54 000 entries plus the HPO dataset, it requires no additional dictionary maintenance and can be used without any background in computer programming. Moreover, after switching to the GPT-5 model, PhenoRAG exhibited no hallucination rate on the new dataset, and its F1 score significantly increased (P = 0.038). CONCLUSION Without constructing a synonym database, the PhenoRAG achieved high-accuracy automatic mapping from clinical text to standard HPO terms. It features a low usage threshold, free access, and a Chinese-language interface, and can directly serve rare disease diagnosis, genetic counseling, and research scenarios in China and worldwide, warranting further clinical promotion and multicenter validation.
Humans ; Phenotype ; Biological Ontologies ; Language ; Software ; Large Language Models

Introduction: A significant proportion of severe asthma patients require oral corticosteroids (OCS) to maintain symptom control. Prolonged OCS predisposes patients to hypothalamicpituitary-adrenal axis suppression which can be lifethreatening. Biologic therapies are effective steroid-sparing options suitable for select severe asthma patients. We evaluated steroid tapering outcomes and adrenal function during biologic therapy in a tertiary severe asthma clinic. Results: A total of 43 patients were included. Median age was 66 years (interquartile range [IQR] 60–74), and 65% were male. Mepolizumab was the most used (17 patients), followed by benralizumab (15), tezepelumab (6), dupilumab (4), and omalizumab (1). Median baseline prednisolone dose was 10 mg (IQR 5–10). Median lowest dose achieved was 3 mg (IQR 0–3), sustained for at least 4 weeks in 90.7% of patients. Median reduction in prednisolone dose was 5 mg (IQR 5–7.25). In all, 42% of patients successfully discontinued maintenance steroids. Adrenal function was assessed using morning serum cortisol (n = 37) and/or SST (n = 28). Evidence of adrenal insufficiency was identified in 19 patients (44%), including 15 patients with failed SST and four with low morning cortisol suggestive of adrenal suppression. Morning serum cortisol was indeterminate in four patients. A total of 17 patients were referred to endocrinology. During steroid tapering, 11 asthma-related hospital admissions and eight emergency department presentations occurred, involving 10 patients. Conclusion Biologics facilitate the reduction of the OCS burden in severe asthma. Tertiary adrenal suppression is common during steroid tapering and requires prompt biochemical assessment and endocrinology referral. Structured monitoring of adrenal function is essential during biologicfacilitated steroid tapering in routine clinical practice.
Biological Products ; Steroids ; Asthma

Biomanufacturing harnesses engineered cells for the large-scale production of biochemicals, biopharmaceuticals, biofuels, and biomaterials, playing a vital role in mitigating global environmental crises, achieving carbon peaking and neutrality, and driving the green transformation of the economy and society. The effective design and construction of these engineered cells require precise and comprehensive computational models. Recent technological breakthroughs including high-throughput sequencing, mass spectrometry, spectroscopy, and microfluidic devices, coupled with advances in data science, artificial intelligence, and automation, have enabled the rapid acquisition of large-scale biological datasets, thereby facilitating a deeper understanding of cellular dynamics and the construction of mechanism-based models with enhanced accuracy. This review systematically summarises the mathematical frameworks employed in cellular modelling. It begins by evaluating prevalent mathematical paradigms, such as network topology analyses, stochastic processes, and kinetic equations, critically assessing their applicability across various contexts. The discussion then categorises modelling strategies for specific cellular processes, including cellular growth and division, morphogenesis, DNA replication, transcriptional regulation, metabolism, signal transduction, and quorum sensing. We also examine the recent progress in developing whole-cell models through the integration of diverse cellular processes. The review concludes by addressing key challenges such as data scarcity, unknown mechanisms, multi-dimensional data integration, and exponentially escalating computational complexity. Overall, this work consolidates the mathematical models for the precise simulation of cellular processes, thereby enhancing our understanding of the molecular mechanisms governing cellular functions and contributing to the future design and optimisation of engineered organisms.
Models, Biological ; Cell Physiological Phenomena ; Cell Engineering/methods* ; Humans

The metabolic reactions in cells, whether spontaneous or enzyme-catalyzed, form a highly complex metabolic network closely related to cellular physiological metabolic activities. The reconstruction of cellular physiological metabolic network models aids in systematically elucidating the relationship between genotype and growth phenotype, providing important computational biology tools for precisely characterizing cellular physiological metabolic activities and green biomanufacturing. This paper systematically introduces the latest research progress in different types of cellular physiological metabolic network models, including genome-scale metabolic models (GEMs), kinetic models, and enzyme-constrained genome-scale metabolic models (ecGEMs). Additionally, our paper discusses the advancements in the automated construction of GEMs and strategies for condition-specific GEM modeling. Considering artificial intelligence offers new opportunities for the high-precision construction of cellular physiological metabolic network models, our paper summarizes the applications of artificial intelligence in the development of kinetic models and enzyme-constrained models. In summary, the high-quality reconstruction of the aforementioned cellular physiological metabolic network models will provide robust computational support for future research in quantitative synthetic biology and systems biology.
Metabolic Networks and Pathways/physiology* ; Models, Biological ; Artificial Intelligence ; Systems Biology ; Kinetics ; Cell Physiological Phenomena ; Computational Biology ; Synthetic Biology ; Humans

Biomanufacturing has emerged as a crucial driving force for efficient material conversion through engineered cells or cell-free systems. However, the intrinsic spatiotemporal heterogeneity, complexity, and dynamic characteristics of these processes pose significant challenges to systematic understanding, optimization, and regulation. This review summarizes essential methodologies for multi-omics data acquisition and analyses for bioprocesses and outlines modelling approaches based on multi-omics data. Furthermore, we explore practical applications of multi-omics and modelling in fine-tuning process parameters, improving fermentation control, elucidating stress response mechanisms, optimizing nutrient supplementation, and enabling real-time monitoring and adaptive adjustment. The substantial potential offered by integrating multi-omics with computational modelling for precision bioprocessing is also discussed. Finally, we identify current challenges in bioprocess optimization and propose the possible solutions, the implementation of which will significantly deepen understanding and enhance control of complex bioprocesses, ultimately driving the rapid advancement of biomanufacturing.
Fermentation ; Genomics/methods* ; Biotechnology/methods* ; Proteomics/methods* ; Models, Biological ; Metabolomics/methods* ; Bioreactors ; Multiomics

Improving the nitrogen use efficiency (NUE) of Brassica napus is of significant importance for achieving the national goal of zero growth in chemical fertilizer application and ensuring the green development of the rapeseed industry. This study aims to explore the effects of the nitrate transporter gene BnaNRT1.5s on the nitrogen transport and NUE of B. napus, providing excellent genetic resources for the development of nitrogen-efficient B. napus varieties. The spatiotemporal expression of BnaA05.NRT1.5 as a key nitrogen responsive gene was profiled by qRT-PCR at different growth stages and for different tissue samples of B. napus 'Westar'. Subcellular localization was employed to examine its expression pattern in the cells. Additionally, CRISPR/Cas9 was used to create BnaNRT1.5s knockout lines, which were subjected to hydroponic experiments under high nitrogen (12.0 mmol/L) and low nitrogen (0.3 mmol/L) conditions. After the seedlings were cultivated for 21 days, root and shoot samples were collected for weighing, nitrogen content determination, xylem sap nitrate content assessment, and calculation of total nitrogen and NUE. The B. napus nitrate transporter BnaA05.NRT1.5 was localized to the cell membrane. During the seedling and early bolting stages, BnaA05.NRT1.5 was predominantly expressed in roots, while it was highly expressed in old leaves and mature silique skin during the reproductive stage. Compared with the wild type, the mutant BnaNRT1.5s showed significant increases in the dry weight and total nitrogen of seedlings under both high and low nitrogen conditions. Under low nitrogen conditions, NUE in the roots of BnaNRT1.5s significantly improved. Notably, under both high and low nitrogen conditions, the nitrate content in the shoots of BnaNRT1.5s decreased significantly, while that in the roots increased significantly, resulting in a significantly decreased shoot-to-root nitrate content ratio. BnaNRT1.5s is involved in regulating the transport of nitrate from the roots to the shoots, and its mutation enhances nitrogen absorption and utilization in B. napus seedlings, promoting seedling growth. This study not only provides references for understanding the physiological and molecular mechanisms by which BnaNRT1.5s regulates NUE but also offers valuable genetic resources for improving NUE in B. napus.
Brassica napus/genetics* ; Anion Transport Proteins/metabolism* ; Nitrogen/metabolism* ; Nitrate Transporters ; Plant Proteins/metabolism* ; Nitrates/metabolism* ; Gene Expression Regulation, Plant ; Biological Transport

Liver diseases have become a major challenge threating the global health, posing a heavy burden on both social and personal well-being. In recent years, the development of the gut-liver axis theory has provided new research perspectives and intervention strategies for the prevention and treatment of liver diseases. Natural products, recognized as biological molecules with diverse sources, rich activities, and minimal side effects, demonstrate great potential in regulating intestinal flora and improving liver health. Studies have shown that natural products such as saponins, polyphenols, polysaccharides, and alkaloids can regulate the composition and metabolites of intestinal flora, thereby intervening in liver diseases. In this paper, we systematically review the role of natural products in the regulation of the intestinal flora-gut-liver axis and summarize recent research progress in the prevention and treatment of liver diseases. Furthermore, we outline the challenges and limitations currently facing the study in this field. Finally, this paper makes an outlook on the clinical application of natural products in treating liver diseases and discusses future research directions, aiming to give new insights into the mechanisms by which natural products regulate the intestinal flora-gut-liver axis and the applications of these products in the prevention and treatment of liver diseases.
Humans ; Gastrointestinal Microbiome/drug effects* ; Liver Diseases/prevention & control* ; Biological Products/pharmacology* ; Polyphenols/pharmacology* ; Saponins/pharmacology* ; Intestines/microbiology* ; Alkaloids/pharmacology* ; Polysaccharides/pharmacology* ; Liver

Actinomycetes are important producers of high-value natural products, and the engineering of actinomycetes to enhance the biosynthesis of target natural products has long been a hot research topic in the scientific community. However, non-rational engineering methods suffer from low beneficial mutation rates, which limit the efficiency of mutant screening. The integration of high-throughput screening (HTS) technologies can effectively enhance the screening efficiency of elite mutants and significantly shorten the cycle of actinomycete strain engineering. This review comprehensively discusses various HTS technologies suitable for the engineering of actinomycete strains and compares them in terms of application scenarios, advantages, and disadvantages. HTS technologies include microplate-based screening, antimicrobial activity screening, antibiotic resistance screening, fluorescence-activated cell sorting (FACS), and fluorescence-activated droplet sorting (FADS). Additionally, this review summarizes the applications of these technologies in assisting actinomycete strain engineering and enhancing the yields of target compounds. The development and application of HTS technologies have not only facilitated the exploration of natural product resources in actinomycetes but also provided strong support for the rapid and efficient construction of high-performance engineered actinomycete strains.
Actinobacteria/metabolism* ; High-Throughput Screening Assays/methods* ; Genetic Engineering/methods* ; Biological Products/metabolism* ; Flow Cytometry ; Metabolic Engineering/methods*

To develop biocontrol agents for the control of kiwifruit bacterial canker, we isolated a strain CXG2-5 with inhibitory activity against Pseudomonas syringae pv. actinidiae (Psa), the pathogen of kiwifruit bacterial canker, from the rhizosphere soil of kiwifruit by the plate confrontation test. The strain was identified by morphological observation, physiological and biochemical tests, and molecular biological methods. The indoor control efficacy of the strain was determined by the inoculation of the strain into detached branches with wounds and into leaf discs by vacuum infiltration. The ability of the strain to expand and colonize leaf veins was determined by fluorescent labeling and scanning electron microscopy. Subsequently, the strain was prepared into microcapsules, the field control efficacy of which was evaluated. The strain CXG2-5 was identified as Pseudomonas benzenivorans. It demonstrated good antagonistic activity against Psa, with an inhibition zone diameter of 22 mm and an inhibition rate of 72.7%. The preventive effects of the strain on kiwifruit bacterial canker were better than the therapeutic effects on both detached branches and leaves, with the preventive effects reaching 65% and 92.4%, respectively. The control effect of microcapsules of this strain in the field reached 60.89%, which was slightly lower than that of 20% kasugamycin and higher than that of Bacillus subtilis wettable powder. In conclusion, strain CXG2-5 serves as a candidate for the control of kiwifruit bacterial canker, and the prepared microcapsules have good value for development and application.
Actinidia/microbiology* ; Plant Diseases/prevention & control* ; Pseudomonas syringae ; Pseudomonas/isolation & purification* ; Capsules ; Antibiosis ; Biological Control Agents ; Pest Control, Biological/methods*

Fusarium head blight (FHB), caused by Fusarium graminearum, not only leads to severe yield losses but also poses a threat to food safety due to the mycotoxins produced by the pathogen. Since this disease is preventable but not curable, the current control mainly relies on chemical fungicides, the long-term use of which may lead to pathogen resistance and environmental pollution. To develop green control methods, we screened 13 biocontrol strains from the rhizosphere soil of wheat, among which strain No. 12 (identified as Pythium aphanidermatum) showed significant antifungal effects. In the plate confrontation test, this strain reduced the colony diameter of the pathogen by 69.2% (1.47 mm vs. 4.78 mm in the control group), with an inhibition rate of 77% (P < 0.01). Microscopic observation revealed obvious deformations in the pathogen hyphae, suggesting a lysing effect. The coleoptile experiment further confirmed that the pre-treatment with this strain reduced the incidence rate to 0. These findings provide new candidate strains for the biocontrol of FHB and offer a scientific basis for reducing the use of chemical fungicides and promoting sustainable agricultural development.
Triticum/growth & development* ; Fusarium/growth & development* ; Plant Diseases/prevention & control* ; Soil Microbiology ; Pest Control, Biological/methods* ; Pythium/physiology* ; Biological Control Agents ; Rhizosphere ; Fungicides, Industrial