Bacterial Infection

Identification of chemical features for improved outer membrane permeation in mycobacteria using machine learning.

The ability of compounds to permeate and accumulate in bacterial cells is a critical determinant of antibiotic efficacy. Better therapeutics are urgently needed for the human pathogen Mycobacterium tuberculosis, yet the cell envelope, including the mycobacterial outer membrane, represents a significant barrier for drug entry, and the chemical features governing permeation remain poorly understood....

Antimicrobial peptide hydrogel delivery systems: Design strategies and functional expansion.

Antimicrobial peptides (AMPs), owing to their unique membrane-disrupting mechanism and low susceptibility to resistance, represent important candidate therapeutics for combating multidrug-resistant bacterial infections. However, their clinical application is constrained by issues such as poor in vivo stability, short half-life, low bioavailability, and potential toxicity. Hydrogels, as biocompatib...

Bacterial keratitis: a global review of current practices, challenges and innovations.

Bacterial keratitis is a major cause of corneal blindness worldwide, with marked differences in clinical presentation and risk factors across regions....

TACE-induced liver injury in hepatocellular carcinoma: mechanisms, prediction, and prevention in the era of gut microbiota and inflammasome research.

Transarterial chemoembolization (TACE) is a cornerstone locoregional therapy for hepatocellular carcinoma (HCC), yet most candidates also have cirrhos...

Predicting antimicrobial resistance for precision medicine.

Antibiotics are among medicine's greatest successes, but resistance evolution threatens their continued efficacy. Decades of research have deepened ou...

Associations of indoor bacterial, metabolomic, and other chemical exposures with allergic rhinitis in school-aged children.

BACKGROUND: The indoor environment has been implicated as a critical factor in the development of allergic diseases. However, the interplay among indo...

[A two-stage model for predicting postoperative pulmonary infection in esophageal cancer patients].

Postoperative pulmonary infection (PPI) after esophageal cancer surgery occurs frequently and severely impairs patients' prognosis. Most existing pred...

Protocols for genomic epidemiology and source attribution of enteric bacteria causing diarrhoeal disease across Africa.

INTRODUCTION: Enteric bacterial pathogens are a major cause of diarrhoeal disease in low-income and middle-income countries, with complex transmission...

Bioinformatics classification of the MgtE Mg 2 + channel and de novo protein design for the stabilization of its novel subclass.

MgtE channels play crucial roles in Mg 2 + homeostasis and are implicated in bacterial survival under antibiotic exposure. Previous structural and bio...

Discovery of novel antimicrobials within microbiomes.

Antimicrobial-resistant bacterial and fungal pathogens constitute a severe threat to public health. The pace at which new antimicrobials are being rel...

Motion-refined machine learning enables characterization of bacterial swarming dynamics.

Bacterial swarming on a semi-solid agar surface is a prevalent form of collective motility. Our study focuses on probing the swarm front of a novel sp...

Annexin A2 as a Therapeutic Target of Artemisiae Scopariae Herba-derived Quercetin in Preventing Malignant Progression from Primary Sclerosing Cholangitis to Cholangiocarcinoma: An Integrative Study.

ETHNOPHARMACOLOGICAL RELEVANCE: Artemisiae Scopariae Herba (ASH) is traditionally used to treat cholestatic liver diseases and exhibits anti-tumour po...

Enhanced identification of key bacterial motility genes via a cross-species genomic hybrid feature machine learning approach.

Efficient and accurate identification of functional genes is critical to biological research, yet traditional single-species approaches are often limi...

Genetically engineered outer membrane vesicles as next-generation bionanomaterials for therapeutic and diagnostic applications.

Outer membrane vesicles (OMVs), naturally released by Gram-negative bacteria, represent a unique class of bionanomaterials with inherent immunogenicit...

Comparison of Gram stain interpretation accuracy between a computer-aided diagnosis app and microbiology specialists in blood culture samples.

UNLABELLED: Gram staining is one of the basic tests to identify the organism in microbiological laboratory, especially in blood culture. However, micr...

Drug repositioning as an antivirulence strategy: Ketoprofen targets quorum sensing and biofilm in Serratia sp.

Serratia sp. are opportunistic Gram-negative bacteria capable of forming robust biofilms and expressing a wide range of quorum sensing (QS)-regulated ...

Developing machine learning models for fluid milk spoilage classification.

The dairy as well as other food industries face major challenges as retirement of experienced staff members can lead to substantial knowledge and skil...

Exploring the genetic landscape of ciprofloxacin-induced DNA supercompaction in Escherichia coli.

DNA-damaging antibiotics like ciprofloxacin (CIP) induce extensive double-strand breaks in Escherichia coli, triggering both the SOS response and rapi...

Dual-Recognition AIEgens-Lysozyme Assemblies for Interpretable Machine Learning-Enabled Sensor Arrays: Toward Rapid and Transparent Surveillance of Microbial Threats.

Array-based sensing technology holds immense potential for the rapid identification of pathogenic bacteria. Nevertheless, developing a universal strat...

Multidimensional Pathogen Fingerprinting via DNA Scaffold-Confined Enzymatic Synthesis of Silicon Quantum Dots.

Accurate and highly sensitive detection of pathogenic bacteria is essential to public health. Conventional biosensors often rely on bulk signal amplif...