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Full-Text Articles in Amino Acids, Peptides, and Proteins
Soluble Antimicrobial Peptide (Amp) Screening To Rationally Design Amp-Hydrogels That Selectively Prevent Biofilm Formation, Matthias Recktenwald, Muskanjot Kaur, Mohammed M. Benmassaoud, Aryanna Copling, Tulika Khanna, Michael Curry, Denise Cortes, Gilbert Fleischer, Valerie J. Carabetta, Sebastián L. Vega
Soluble Antimicrobial Peptide (Amp) Screening To Rationally Design Amp-Hydrogels That Selectively Prevent Biofilm Formation, Matthias Recktenwald, Muskanjot Kaur, Mohammed M. Benmassaoud, Aryanna Copling, Tulika Khanna, Michael Curry, Denise Cortes, Gilbert Fleischer, Valerie J. Carabetta, Sebastián L. Vega
Rowan-Virtua Research Day
Staphylococcus aureus is an opportunistic pathogen that lives on surfaces and skin and can cause serious infections once inside the body. While antibiotics effectively kill bacteria, there are a growing number of infections with antibiotic-resistant strains. Antimicrobial peptides (AMPs) are part of the innate immune system and can eliminate pathogens including bacteria, fungi, and viruses, and are a promising alternative to antibiotics. Although studies have reported that AMP-functionalized hydrogels can prevent bacterial adhesion and biofilm formation, these materials generally consist of one AMP at an arbitrary concentration, and AMP dosing and the combined effects of multiple AMPs are not well …
Advancing Risk Stratification In Hfpef: Unveiling The Potential Of Cardiac Fibrosis Markers For Early Diagnosis And Enhanced Patient Outcomes, Mariam Abdeen
Rowan-Virtua Research Day
Heart failure with preserved ejection fraction (HFpEF) challenges clinicians due to its diverse presentation and limitations in traditional diagnostic criteria. This study delves into the potential of cardiac fibrosis markers like galectin-3, NT-proBNP, and trimethylamine N-oxide (TMAO) to enhance diagnostic precision and patient outcomes in HFpEF. A systematic review of sixteen relevant studies revealed that these biomarkers offer promise for early detection and improved risk assessment. For instance, TMAO indicates systemic implications of HFpEF, while galectin-3 shows predictive value across heart failure types. Additionally, machine-learning models incorporating multiple biomarkers predict significant risk of adverse outcomes. Despite these advances, challenges like …