Bacterial Infection

A sulfated fucopyranosyl-glucosamino-glucopyranose from marine heterotrophic Bacillus tequilensis regulates inflammatory cytokines in lipopolysaccharide-stimulated human monocyte THP-1 cells.

Marine macroalga or seaweed-associated bacterial exopolysaccharides, particularly (1 → 3)-linked β-glucans, possess potential ability to reduce inflammatory responses by targeting various cytokines. In this direction, a sulfated exopolysaccharide (BP-2), characterized as fucopyranosyl glucosamino-glucopyranose, was isolated from the heterotrophic bacterium Bacillus tequilensis MTCC13043, associate...

The antibacterial activity of Cornus mas L. against uropathogenic Escherichia coli strains producing extended-spectrum β-lactamase.

The emergence of uropathogenic Escherichia coli strains that produce ESBLs is a major global health issue. The purpose of this work is to examine the fruit pulp extract from Cornus mas L.'s in vitro antibacterial efficacy against uropathogenic E. coli strains that produce ESBLs. In this study, the antibacterial activity of C. mas extract against E. coli isolates that produced ESBLs was evaluated u...

Advanced water treatment with antimicrobial silver-lignin nanoparticles sonochemically-grafted on cork granulates in activated carbon packed-bed columns.

Cork biomass (C) was grafted with antimicrobial silver phenolated-lignin nanoparticles (AgPLN) using a fast and simple sono-enzymatical process. The A...

Assessment of Bacillus cereus spoilage potential and the antibacterial mechanism of Larimichthys crocea-derived peptide SDH73 against Bacillus cereus.

This study investigated the spoilage bacteria associated with Larimichthys crocea (L. crocea) and the potential inhibitory effects of a derived peptid...

Fluorescence-based spectrometric and imaging methods and machine learning analyses for microbiota analysis.

Most microbiota determination (skin, gut, soil, etc.) are currently conducted in a laboratory using expensive equipment and lengthy procedures, includ...

Machine learning assisted classification of staphylococcal biofilm maturity.

An increasing incidence of device-related, biofilm-associated infections has been observed in clinical practice worldwide. biofilm models are essenti...

Synergistic detection of E. coli using ultrathin film of functionalized graphene with impedance spectroscopy and machine learning.

Bacterial detection and classification are critical challenges in healthcare, environmental monitoring, and food safety, demanding selective and effic...

Gut microbiota-derived extracellular vesicles form a distinct entity from gut microbiota.

Extracellular vesicles (EVs), nanoparticles secreted by both gram-negative and gram-positive bacteria, carry various biomolecules and cross biological...

Neural networks for the prediction of bacterial and fungal infections: current evidence and implications.

In the present narrative review, we discuss the use of artificial neural networks (ANNs) for predicting bacterial and fungal infections based on commo...

Unveiling Berberine analogues as potential inhibitors of Escherichia coli FtsZ through machine learning molecular docking and molecular dynamics approach.

The bacterial cell division protein FtsZ, a crucial GTPase, plays a vital role in the formation of the contractile Z-ring, which is essential for bact...

Pato: prediction of probiotic bacteria using metabolic features.

Probiotics have gained recognition for their health-promoting benefits, particularly in the gastrointestinal and immunological systems. Among promisin...

Host Biomarkers and Antibiotic Tissue Penetration in Sepsis: Insights from Moxifloxacin.

BACKGROUND AND OBJECTIVE: Sepsis-induced pathophysiological changes may lead to pharmacokinetic variability which alters antibiotic concentrations at ...

Recent advances in therapeutic probiotics: insights from human trials.

SUMMARYRecent advances in therapeutic probiotics have shown promising results across various health conditions, reflecting a growing understanding of ...

Deep learning based ensemble model for accurate tomato leaf disease classification by leveraging ResNet50 and MobileNetV2 architectures.

Global food security depends on tomato growing, but several fungal, bacterial, and viral illnesses seriously reduce productivity and quality, therefor...

Performance and hypothetical clinical impact of an mNGS-based machine learning model for antimicrobial susceptibility prediction of five ESKAPEE bacteria.

UNLABELLED: Antimicrobial resistance is an escalating global health crisis, underscoring the urgent need for timely and targeted therapies to ensure e...

Antibiogram use on dairy cattle for bovine respiratory disease: Factors associated with bacterial pathogen identification and prediction of bacterial recovery using machine learning.

Effective isolation of bacterial pathogens for bovine respiratory disease (BRD) is a critical step for accurate diagnosis of the agent associated with...

Aptamer-functionalized graphene quantum dots combined with artificial intelligence detect bacteria for urinary tract infections.

OBJECTIVES: Urinary tract infection is one of the most prevalent forms of bacterial infection, and prompt and efficient identification of pathogenic b...

Using pathology images and artificial intelligence to identify bacterial infections and their types.

Bacterial infections pose a significant biosafety concern, making early and accurate diagnosis essential for effective treatment and prognosis. Tradit...

Role of electrostatics in cold adaptation: A comparative study of eury- and stenopsychrophilic triose phosphate isomerase.

Psychrophilic (cold-active) organisms have developed enzymes that facilitate sufficient metabolic activity at low temperatures to sustain life. This o...

Recent advances in occurrence, biotreatment, and integrated insights into bacterial degradation of phthalic acid esters in aquatic environments.

Phthalic acid esters (PAEs) are prevalent as emerging contaminants owing to their widespread use as plasticizers in industry. Despite their environmen...