The aim of this investigation is to determine the effect that growth solution has on the cell surface properties and transport behavior of eleven Escherichia coli isolates through saturated porous media. The two growth solutions used were a standard laboratory growth medium (LB) and a dairy manure extract solution. In general, cells grown in manure extract were more hydrophobic, had a more negative zeta potential, had lower amounts of surface macromolecules, and had lower attachment efficiencies than isolates grown in LB. An inverse relationship between the natural log of zeta potential and the attachment efficiency of the isolates for the cells grown in LB media was the only statistically significant correlation observed between transport behavior and cell characteristics of the isolates. This study shows the need to consider growth conditions when studying bacteria to better mimic the environmental stresses that bacteria undergo in the natural environment. This approach could lead to a better understanding of the behavior of manure-derived bacteria in aquatic and terrestrial environments.
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http://dx.doi.org/10.1039/c2em10960c | DOI Listing |
PLoS One
January 2025
Department of Biochemistry, Bahauddin Zakariya University, Multan, Pakistan.
Cotton (Gossypium hirsutum L.), a crucial global fibre and oil seed crop faces diverse biotic and abiotic stresses. Among these, temperature stress strongly influences its growth, prompting adaptive physiological, biochemical, and molecular changes.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
January 2025
School of Chemistry and Molecular Biosciences, University of Queensland, Brisbane, QLD 4072, Australia.
Innate immunity relies on Toll-like receptors (TLRs) to detect pathogen-associated molecular patterns. The TIR (Toll/interleukin-1 receptor) domain-containing TLR adaptors TRIF (TIR domain-containing adaptor-inducing interferon-β) and TRAM (TRIF-related adaptor molecule) are essential for MyD88-independent TLR signaling. However, the structural basis of TRIF and TRAM TIR domain-based signaling remains unclear.
View Article and Find Full Text PDFPrehosp Emerg Care
January 2025
Department of Emergency Medicine, MetroHealth Medical Center, Cleveland, OH.
Objectives: Opioid-associated fatal and non-fatal overdose rates continue to rise. Prehospital overdose education and naloxone distribution (OEND) programs are attractive harm-reduction strategies, as patients who are not transported by EMS after receiving naloxone have limited access to other interventions. This narrative summary describes our experiences with prehospital implementation of evidence-based OEND practices across Ohio as part of the HEALing Communities Study (HCS).
View Article and Find Full Text PDFPrehosp Emerg Care
January 2025
Department of Emergency Medicine, University of Iowa Carver College of Medicine, Iowa City, IA, USA.
Objectives: Sepsis is a time-sensitive condition, and many rural emergency department (ED) sepsis patients are transferred to tertiary hospitals. The objective of this study was to determine whether longer transport times during interhospital transfer are associated with higher sepsis mortality or increased hospital length-of-stay (LOS).
Methods: A cohort of rural adult (age ≥ 18y) sepsis patients transferred between hospitals were identified in the TELEmedicine as a Virtual Intervention for Sepsis Care in Emergency Departments (TELEVISED) parent study.
Environ Sci Pollut Res Int
January 2025
Institute for Bioanalysis, University of Applied Sciences Coburg, Coburg, Germany.
Biocides, applied in building materials as antimicrobial protectants, can be leached out by rain, presenting substantial environmental risks as confirmed by studies on aquatic environments. However, these biocides are consistently released throughout the year in a diluted form, posing unique challenges for the prediction of transport, transformation, and ecotoxicity assessment in soil. To address this challenge, we combined COMLEAM, which predicts leaching from facades into the soil, with the FOCUS PELMO pesticide model to predict biocide distribution in soil.
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