Bidirectional interactions between food‐derived sensory compounds, gut sensing and microbiota, host physiological feedback, and metabolite production within the food matrix collectively shape sensory perception, microbial dynamics, and metabolic health.
Mohammad Nazrul Islam Bhuiyan
wiley +1 more source
Shallow shotgun metagenomic sequencing of wild yeast communities enriched in ethanol-containing koji extract medium. [PDF]
Umekage S.
europepmc +1 more source
Industrial manufacturing processes have transformative effects on the components of food matrix. These transformations in food matrix and components have direct implications for quality assurance (QA), food quality (e.g., nutritional profile and texture), and food safety management (e.g., pathogen control and toxin mitigation). ABSTRACT This systematic
Chinaza Godswill Awuchi
wiley +1 more source
How the social lives of bacteria affect their pangenome. [PDF]
Whelan FJ.
europepmc +1 more source
Application of Metagenomic Next-Generation Sequencing in HIV-Infected Patients with Bloodstream Infections [PDF]
Huiting Liu, Tianzhen Xu, Hongxin Fu, Bohao Dai, Yirui Xie State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of ...
Liu H, Xie Y, Dai B, Fu H, Xu T
core
Delayed rainfall diminishes the positive response of soil respiration to warming
Warming stimulates soil respiration and its components, while delayed rainfall suppresses them. Crucially, delayed rainfall diminishes or even reverses the positive response of soil respiration to warming by intensifying the drought stress, and autotrophic respiration is more vulnerable than heterotrophic respiration under this interaction.
Shuotian Lai +4 more
wiley +1 more source
Computational Genomics for Resistome Characterization: Current Advancements and Future Challenges Under a One Health Perspective. [PDF]
García Gutiérrez L +6 more
europepmc +1 more source
Interpretable Machine Learning Model for Fungal Infection Prediction: A Real‐World Study
Our study successfully developed and validated a machine learning model based on large‐scale electronic health record data to predict the risk of fungal infections in hospitalized patients. Through a Streamlit‐powered web platform, the model was seamlessly embedded into clinical workflows, completing the full pipeline from model construction to real ...
Jinru Yang +5 more
wiley +1 more source
Correction: Unmasking the mimic: vertebral alveolar echinococcosis diagnosed by metagenomic next‑generation sequencing. [PDF]
Kruis T +7 more
europepmc +1 more source
Agentic AI for trustworthy synthetic microbial genomics: a perspective on generation, validation, and governance. [PDF]
Sufi F.
europepmc +1 more source

