Bacterial Infection

Discovery of nitrogen-responsive microbial indicators as metrics of freshwater ecosystem health.

Microorganisms represent the most taxonomically and functionally diverse components of freshwater environments. Whilst distinct microbial communities exist across freshwater habitats, such as the water column and sediments, epilithic and epiphytic biofilm communities are critical in performing key roles in biogeochemical cycling and freshwater food webs. Despite their biogeochemical and ecological...

Development of a real-world, therapeutic drug monitoring-informed model to predict teicoplanin daily dose in pediatric intensive care unit patients with bacterial infections.

INTRODUCTION: Teicoplanin is commonly used to treat Gram-positive bacterial infections in the intensive care unit (ICU). However, evidence to support individualized therapeutic drug monitoring (TDM)-guided daily dosing of teicoplanin in pediatric ICU patients remains limited despite substantial interpatient variability in pharmacokinetics and clinical response. AIM: To develop and validate a real-...

An ensemble pipeline, PhageHost, for phage tail fiber discovery and accurate Klebsiella pneumoniae host prediction using protein language models.

The high specificity of phages toward their hosts holds great promise for phage therapy while posing a challenge to computational prediction approache...

Deep Learning-Enhanced DNAzyme-Driven Rolling-Circle Amplification Encoding for Multibacterial Detection.

Food-borne outbreaks are frequently caused by multiple live pathogens that conventional methods cannot process simultaneously. We report a DNAzyme-dri...

Targeted Surface-Enhanced Raman Scattering for Highly Accurate Identification of Bacterial Species and Finding Spectral Signatures with Explainable Artificial Intelligence.

The analysis of complex Raman spectra from biological samples has traditionally relied on conventional chemometric-based methods, the performance of w...

Thermo-Sensitive Polymeric Networks for Next-Generation Wound Management: A Review.

Wound healing is a dynamic and highly coordinated biological process involving hemostasis, inflammation, proliferation, and tissue remodeling. However...

Leveraging the lipoprotein trafficking pathway for the development of novel antimicrobials.

Antimicrobial resistance continues to limit the number of effective antimicrobials to treat bacterial infections. The development of antimicrobials wi...

Revealing global stoichiometry conservation architecture in cells from Raman spectral patterns.

Cells can adapt to various environments by changing their biomolecular profiles while maintaining physiological homeostasis. What organizational princ...

AI-assisted phage formulation delivered via injectable hydrogels for localized control of implant-associated infections.

Bacteriophages are emerging as highly effective antimicrobials for the treatment of persistent bacterial infections, offering precision-targeted actio...

Artificial intelligence at the frontlines: Emerging infectious and parasitic diseases in the digital era.

Emerging infectious diseases are one of the most significant threats to global health, driven by many factors such as zoonotic spillovers, climate cha...

Bacterial taxa associated with lung cancer cases in Southeast Asians: a pilot case-control study.

PURPOSE: Lung cancer is the leading cause of cancer-related mortality worldwide, yet its underlying mechanisms remain unclear. Disruptions in the resp...

Tripleknock: predicting lethal effect of three-gene knockout in bacteria by deep learning.

Investigating the lethal effect of multi-gene knockout is essential for discovering novel antibiotic targets and metabolic engineering. Unlike single ...

Mechanistic Design of Graphdiyne-Based Multimodal Sensing Integrating Machine Learning and Photothermal Dynamics for Precision Recognition and On-Demand Inactivation.

Rapid and accurate detection of pathogenic bacteria remains essential for infection control and timely treatment. Here, we report a graphdiyne (GDY)-b...

Volatomics-based biomarkers for non-invasive diagnosis and monitoring of inflammatory bowel disease.

BACKGROUND: Inflammatory bowel disease (IBD), including Crohn's disease and ulcerative colitis, is a chronic disorder that markedly impairs quality of...

Antimicrobial peptides in malaria and tuberculosis management: a systematic review of emerging evidence.

AMPs (Antimicrobial peptides) are small molecules that are crucial components of biological activities, viz wound healing, angiogenesis, antimicrobial...

State-of-the-art of surface-enhanced Raman spectroscopy for pathogenic bacterial identification.

Rapid and accurate identification of pathogenic bacteria is essential for safeguarding public health. However, existing approaches, including conventi...

Single-Bacterium Screening of Oral Pathogens by Terahertz Near-Field Nanoscopy Derived Multiparameter.

Accurate identification of oral bacteria is essential for assessing oral and systemic diseases. Conventional phenotyping methods and molecular biology...

Using Machine Learning to Design Effective Antimicrobial Dosing Regimens.

Resistant bacterial infections remain a major clinical challenge, often necessitating combination therapy, namely use of two or more antibiotics with ...

Predicting Staphylococcus aureus spa Types Using MALDI-TOF Mass Spectrometry and Machine Learning.

Staphylococcus aureus is a leading cause of intramammary infections (IMI) in Canadian dairy herds and is frequently isolated from both clinical and su...

Genomic and evolutionary factors influencing the prediction accuracy of optimal growth temperature in prokaryotes.

Bacteria and archaea have evolved diverse genomic adaptations to thrive across various temperatures. These adaptations include genome sequence optimiz...