Publications by authors named "I Lejbkowicz"

Background: COVID-19 severity and its late complications continue to be poorly understood. Neutrophil extracellular traps (NETs) form in acute COVID-19, likely contributing to morbidity and mortality.

Objectives: This study evaluated immunothrombosis markers in a comprehensive cohort of acute and recovered COVID-19 patients, including the association of NETs with long COVID.

View Article and Find Full Text PDF

In-depth analysis of SARS-CoV-2 quasispecies is pivotal for a thorough understating of its evolution during infection. The recent deployment of COVID-19 vaccines, which elicit protective anti-spike neutralizing antibodies, has stressed the importance of uncovering and characterizing SARS-CoV-2 variants with mutated spike proteins. Sequencing databases have allowed to follow the spread of SARS-CoV-2 variants that are circulating in the human population, and several experimental platforms were developed to study these variants.

View Article and Find Full Text PDF
Article Synopsis
  • Multiple sclerosis (MS) is a common chronic neurological disease in young adults, typically diagnosed through cerebrospinal fluid (CSF) analysis or magnetic resonance imaging (MRI), but current methods are not sufficient for determining disease state.
  • A new study explores a noninvasive diagnostic approach using volatile organic compounds (VOCs) found in breath, comparing samples from 146 MS patients and 58 healthy controls.
  • This method, involving gas-chromatography mass-spectrometry (GC-MS) and innovative sensor technology, achieved high accuracy rates in distinguishing MS from healthy individuals and suggests a promising direction for developing effective diagnostic biomarkers.
View Article and Find Full Text PDF

We report on an artificially intelligent nanoarray based on molecularly modified gold nanoparticles and a random network of single-walled carbon nanotubes for noninvasive diagnosis and classification of a number of diseases from exhaled breath. The performance of this artificially intelligent nanoarray was clinically assessed on breath samples collected from 1404 subjects having one of 17 different disease conditions included in the study or having no evidence of any disease (healthy controls). Blind experiments showed that 86% accuracy could be achieved with the artificially intelligent nanoarray, allowing both detection and discrimination between the different disease conditions examined.

View Article and Find Full Text PDF

Background: Persons with MS (PwMS) commonly present ambulatory and manual dysfunctions. While ambulation is recognized as important to PwMS, manual dysfunction is only lately gaining attention. Fampridine-PR was approved for MS ambulatory impairments.

View Article and Find Full Text PDF