Bacterial Infection

Influences of growth media and culture time on the SERS spectral patterns of three common pathogenic bacteria: a comparative analysis.

Surface-enhanced Raman spectroscopy (SERS) has emerged as a powerful tool for clinical microorganism identification, offering significant advantages over traditional culture-based methods, including minimal sample requirements, rapid detection, and operational simplicity. However, bacterial SERS spectra are subject to variations due to various experimental factors. To evaluate the influence of two...

4-Hydroxy-2,5-dihydrothiazole derivatives as a new class of small-molecule antibiotics for MRSA: AI-integrated design, chemical synthesis and biological evaluation.

Staphylococcus aureus (S. aureus) is one of the most concerned Gram-positive bacteria due to its resistance to the commonly used antibiotics, methicillin. To address the threat of methicillin-resistant S. aureus (MRSA), new classes of antibiotics are highly needed and artificial intelligence (AI) could accelerate antibiotic discovery. Previously, we developed a new AI-based software for the design...

Genomic and Transcriptomic Profiling of High-risk Bladder Cancer Reveals Diverse Molecular and Microenvironment Ecosystems.

BACKGROUND AND OBJECTIVE: High-risk bladder cancer recurs in 30% of cases and causes fatal outcomes in 10% within 2 yr despite surgical resection, end...

Distinctive Properties of Mla Proteins Differentiate Them From Classical ABC Transporter Components.

In Gram-negative bacteria, the non-canonical ABC transporter, namely, maintenance of lipid asymmetry (Mla) system, ferries phospholipids (PLs) between...

Multidrug-resistant pathogens in UTIs: A concise review of epidemiology, diagnostics, and patent landscaping for precision healthcare.

UTIs are regarded as the second most prevalent global problem, with 150 to 250 million cases reported annually. Poor hygiene, anatomical abnormalities...

Deep learning-based cross-device standardization of surface-enhanced Raman spectroscopy for enhanced bacterial recognition.

Surface-enhanced Raman spectroscopy (SERS) is a powerful, label-free technique for pathogen detection; however, its broader adoption in clinical diagn...

Bu Zhong Yi Qi Tang targets key monocyte-associated genes to enhance sepsis therapy.

ETHNOPHARMACOLOGICAL RELEVANCE: Sepsis is a life-threatening condition resulting from an uncontrolled immune response to infection, leading to organ d...

Metagenomics reveals potential antimicrobial peptides in Chinese baijiu fermentation.

Antimicrobial peptides (AMPs) from food fermentation microbiota hold promise for food preservation and as potential antimicrobial agents. However, the...

IQSPred-PLM: An Interpretable Quorum Sensing Peptides Prediction Model Based on Protein Language Model.

Quorum sensing regulates cooperative behaviors in bacteria through the accumulation and detection of signaling molecules. This process plays a crucial...

Machine Learning-Aided Meta-Analysis Reveals Changes in Penaeus vannamei Gut Bacterial Communities Upon Dietary Supplementation-Induced Immunostimulation.

Gut bacterial communities play a key role in shrimp health; thus, their modulation has been a target of dietary supplements which also function in enh...

Algal/bacterial membrane bioreactor for bioremediation of hazardous landfill leachate containing 1,4-dioxane: An artificial neural network modeling.

This study developed an artificial neural network (ANN) model to predict the 1,4-dioxane removal efficiency from hazardous landfill leachate treated b...

An update on experimental to large-scale production of bacteriophages against superbugs: a review.

The escalating problem of antibiotic resistance has sparked renewed interest in bacteriophages (phages) as potential substitutes for conventional anti...

A Machine Learning Approach to Microcalorimetric Pattern Classification of Pathogens in Synovial Fluid.

Isothermal microcalorimetry (IMC) is a promising tool for diagnosing periprosthetic joint infection (PJI), based on real-time measurement of growth-re...

Computational exploration of global venoms for antimicrobial discovery with Venomics artificial intelligence.

The rise of antibiotic-resistant pathogens, particularly gram-negative bacteria, highlights the urgent need for novel therapeutics. Drug-resistant inf...

Machine learning-selected minimal features drive high-accuracy rule-based antibiotic susceptibility predictions for via metagenomic sequencing.

Antimicrobial resistance (AMR) represents a critical global health challenge, demanding rapid and accurate antimicrobial susceptibility testing (AST) ...

Antimicrobial Peptides Design Using Deep Learning and Rational Modifications: Activity in Bacteria, Candida albicans, and Cancer Cells.

Resistance to antimicrobial agents has become a global threat, estimated to cause 10-million deaths annually by 2050. Antimicrobial peptides are emerg...

Improving meningitis surveillance and diagnosis with machine learning: Insights from São Paulo.

INTRODUCTION: Meningitis, an inflammatory condition of the membranes surrounding the brain and spinal cord, can be caused by various agents. Bacterial...

Inhibiting heme piracy by pathogenic Escherichia coli using de novo-designed proteins.

Iron is an essential nutrient for most bacteria and is often growth-limiting during infection, due to the host sequestering free iron as part of the i...

Deep Learning-Assisted Rapid Bacterial Classification Based on Raman Spectroscopy of Bacteria Lysed by Acoustically Driven Fiber-Tip Vibration.

Rapid and accurate identification of bacterial pathogens is critical for effective clinical decision-making and combating antibiotic resistance. Surfa...

Citywide metagenomic surveillance of food centres reveals local microbial signatures and antibiotic resistance gene enrichment.

The distribution of microorganisms in built environments with high human traffic, such as food centres, can potentially have a significant impact on p...