Results 281 to 290 of about 1,293,835 (325)
Unexpectedly competent immune response to SARS-CoV-2 vaccination in Rett syndrome. [PDF]
Soldateschi L +14 more
europepmc +1 more source
When protein losing enteropathy persists: A case series of viral and lymphatic‐associated etiologies
Abstract Protein‐losing enteropathy (PLE) is a rare condition that is characterized by loss of plasma protein in the intestines leading to hypoproteinemia with subsequent peripheral edema and possibly anasarca. The pathophysiology of PLE varies depending on the etiology and involves either intestinal mucosal injury or lymphatic system alterations ...
Natalie Jennings +7 more
wiley +1 more source
Lung infection in orally inoculated SARS-CoV-2 hamsters. [PDF]
Picard-Meyer E +12 more
europepmc +1 more source
ABSTRACT Hemodialysis (HD) patients are at higher risk of severe COVID‐19 and may exhibit suboptimal vaccine responses. This study evaluates the factors influencing vaccine‐induced immunity in HD patients following the second dose of the Vaxzevria. A total of 276 HD patients and 126 controls were included. Antibody responses were assessed using binding
Chia‐Wei Chang +9 more
wiley +1 more source
Decoding the cross-immune pressure: Dengue's role in SARS-CoV-2 evolution. [PDF]
Mallick A, Chhajer R, Biswas S.
europepmc +1 more source
A Non‐Antigenic Randomized Polyethylene Glycol/Poly(2‐Phenyl‐2‐Oxazine)‐Based Drug Delivery Platform
Randomized PEG (rPEG), a conceptually new PEG alternative, is combined with poly(2‐phenyl‐2‐oxazine) (PPheOzi) to establish an rPEG‐b‐PPheOzi‐b‐rPEG micellar drug delivery platform. The PPheOzi block enables high drug loadings, while competitive ELISA reveals a drastic reduction in anti‐PEG antibody affinity of rPEG in comparison to PEG.
Julian Schmidt +6 more
wiley +1 more source
Structural Adaptability of IgA and IgM Supports Broad SARS-CoV-2 Variant Neutralization. [PDF]
Pisil Y +6 more
europepmc +1 more source
Active Learning for the Discovery of Antiviral Polymers
Machine learning and active learning are integrated to accelerate the discovery of antiviral polymers. Molecular descriptors derived from polymer composition enable predictive modeling of antiviral activity, while unsupervised clustering explores chemical diversity. The active learning workflow identifies optimal candidates for synthesis, demonstrating
Clodagh M Boland +2 more
wiley +1 more source

