Bacterial Infection

Precision culturomics enabled by unlabeled single-cell morphology and Raman spectra.

Selective enrichment of target bacteria from complex communities, such as the human microbiome, has remained a challenge. Here, we report precision single-cell culturomics based on label-free morphology, Raman spectrometry, and Laser-Induced Forward Transfer (LIFT) technology. This approach operates at the level of single microbial cells, many generations before these cells form visible colonies. ...

Association between long-term PM2.5 exposure and risk of urinary tract infection in children: a nationwide longitudinal cohort study.

BACKGROUND: Urinary tract infection (UTI) is among the most common bacterial infections in children and can lead to both acute and chronic complications. Although fine particulate matter (PM2.5) is a known risk factor for cardiovascular, respiratory, and renal diseases, its role in pediatric urinary tract infections remains unclear; therefore, we examined the association between long-term PM2.5 ex...

Deep learning reveals antimicrobial peptides within prions.

Prion and prion-like proteins are classically associated with protein misfolding, but amyloidogenic sequences can also participate in host defence. He...

Metagenomic analysis of water column samples collected from Green Canyon 233 prior to the Deepwater Horizon incident.

UNLABELLED: The Gulf of Mexico/Gulf of America provides ecosystem services derived from marine biodiversity and oil and gas resources. Threats posed b...

Acute effects of cadmium and zinc on crayfish (Procambarus clarkii): insights from deep learning-based behavioral analysis and physiological assessments.

While the biochemical impacts of heavy metals on aquatic organisms are well-documented, quantitative behavioral analyses remain limited. This study in...

Machine learning discriminates bacterial, fungal, and viral infections using temporal blood analyte dynamics in bottlenose dolphins (Tursiops truncatus).

OBJECTIVE: To determine underlying infectious disease as bacterial, fungal, or viral in origin from longitudinal assessment of biochemistry and hemato...

Machine learning-driven identification of virulence determinants in Borrelia burgdorferi associated with human dissemination.

Lyme disease, the most common tick-borne infectious disease in the United States, presents with highly variable clinical outcomes, ranging from locali...

Deep learning-enabled discovery of antibiotics effective against Neisseria gonorrhoeae.

Neisseria gonorrhoeae is a common Gram-negative pathogen with increasing resistance to all recommended antibiotics. There is a critical need to improv...

Rapid screening of spreading-type Bacillus using a YOLO-based classifier on sheet media.

Aerobic spore-forming bacteria cause food poisoning and spoilage and can be distinguished from other bacteria based on colony size and shape when grow...

Hybrid deep learning-based rapid broad-Spectrum antimicrobial susceptibility prediction from whole-genome assemblies.

Antimicrobial resistance (AMR) is a global public health threat. Mortality and poor treatment outcomes are the key consequences of AMR. Conventional a...

An Integrated Rotation-Programmed and Gravity-Driven Microfluidic Platform for Direct Bacterial Detection from Whole Blood.

For the precise molecular detection of bloodstream infection, sample processing is critical, as it involves purifying pathogenic DNA to circumvent the...

Predicting oxygen levels in microbial habitats using a metagenome-based approach.

Oxygen is a primary driver of the distribution and activity of microbial life. Since oxygen levels are often difficult to measure in situ, one potenti...

Helicobacter pylori phages: resource landscape, translational challenges, and engineered antibacterial strategies.

Helicobacter pylori (H. pylori) is a globally prevalent gastric pathogen whose increasing antimicrobial resistance has reduced the efficacy of convent...

Trends in vibrational spectroscopy on optical waveguides.

Vibrational spectroscopy, due to its inherent specificity in providing a spectral "fingerprint" of molecular composition, is an important tool to iden...

Early cell-wall stress signatures enable 20-min ATR-FTIR discrimination of MRSA and MSSA.

Rapid identification of methicillin-resistant Staphylococcus aureus (MRSA) is crucial for early optimization of antibiotic treatment, but current rout...

Ranked placement of phage predation as a determinant of dehydration severity among cholera patients in Bangladesh.

Virulent bacteriophages (phages) can kill bacterial prey, potentially reducing burden of infection. In cholera, a high phage to Vibrio cholerae ratio ...

Oral and Maxillofacial Surgery research hotspots and emerging trends in 2025: A targeted bibliometric analysis.

OBJECTIVES: To perform a targeted bibliometric analysis of the Oral and Maxillofacial Surgery (OMFS) literature from 2025 to map its current intellect...

Biofilm-mediated antibiotic tolerance in bacterial pathogens: Integrated molecular networks and novel therapeutic avenues.

The stable structure of biofilms and the characteristics of the bacteria within them make biofilms an important barrier for bacteria to resist externa...

Gut fungal signatures in colorectal cancer and their potential for supporting diagnosis: a multi-cohort metagenomic analysis.

BACKGROUND: Colorectal cancer (CRC) is influenced by host factors and environmental exposures that shape gut microbial ecosystems. Although bacterial ...

From Correlation to Causality: Identifying Potential Environmental Drivers of Pathogenic Antibiotic-Resistant Bacteria in River Water Using Causal Machine Learning.

Pathogenic antibiotic-resistant bacteria (PARB) pose a serious public health threat within the One Health framework, yet identifying their potential e...