In this study, we conducted a direct comparison of water-assisted laser desorption ionization (WALDI) and matrix-assisted laser desorption ionization (MALDI) mass spectrometry imaging, with MALDI serving as the benchmark for label-free molecular tissue analysis in biomedical research. Specifically, we investigated the lipidomic profiles of several biological samples and calculated the similarity of detected peaks and Pearson's correlation of spectral profile intensities between the two techniques. We show that, overall, MALDI MS and WALDI MS present very close lipidomic analyses and that the highest similarity is obtained for the norharmane MALDI matrix. Indeed, for norharmane in negative ion mode, the lipidomic spectra revealed 100% similarity of detected peaks and over 0.90 intensity correlation between both technologies for five samples. The MALDI-MSI positive ion lipid spectra displayed more than 83% similarity of detected peaks compared to those of WALDI-MSI. However, we observed a lower percentage (77%) of detected peaks when comparing WALDI-MSI with MALDI-MSI due to the rich WALDI-MSI lipid spectra. Despite this difference, the global lipidomic spectra showed high consistency between the two technologies, indicating that they are governed by similar processes. Thanks to this similarity, we can increase datasets by including data from both modalities to either co-train classification models or obtain cross-interrogation.
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http://dx.doi.org/10.1039/d3an01096a | DOI Listing |
Nat Med
January 2025
Department of Medicine-Medical Oncology, University of Colorado Cancer Center, Denver, CO, USA.
Effective targeting of somatic cancer mutations to enhance the efficacy of cancer immunotherapy requires an individualized approach. Autogene cevumeran is a uridine messenger RNA lipoplex-based individualized neoantigen-specific immunotherapy designed from tumor-specific somatic mutation data obtained from tumor tissue of each individual patient to stimulate T cell responses against up to 20 neoantigens. This ongoing phase 1 study evaluated autogene cevumeran as monotherapy (n = 30) and in combination with atezolizumab (n = 183) in pretreated patients with advanced solid tumors.
View Article and Find Full Text PDFMicrob Pathog
January 2025
Laboratory of Catalysis and Synthesis in Organic Chemistry, University of Tlemcen BP 119, Algeria.
Polymicrobial biofilm infections, especially associated with medical devices such as peripheral venous catheters, are challenging in clinical settings for treatment and management. In this study, we examined the mixed biofilm formed by Candida glabrata and Klebsiella pneumoniae, which were co-isolated from the same peripheral venous catheter. Our results revealed that C.
View Article and Find Full Text PDFJ Med Microbiol
January 2025
Norwegian Centre for Detection of Antimicrobial Resistance, Department of Microbiology and Infection Control, University Hospital of North Norway, Troms, Norway.
Infections by carbapenemase-producing (CP-Pa) are concerning due to limited treatment options. The emergence of multidrug-resistant (MDR) high-risk clones is an essential driver in the global rise of CP-Pa. Insights into the molecular epidemiology of CP-Pa are crucial to understanding its clinical and public health impact.
View Article and Find Full Text PDFJ Med Virol
January 2025
Institute of Virology, Technical University of Munich/Helmholtz Munich, Munich, Germany.
SARS-CoV-2 infection is accompanied by elevated liver enzymes, and patients with pre-existing liver conditions experience more severe disease. While it was known that SARS-CoV-2 infects human hepatocytes, our study determines the mechanism of infection, demonstrates viral replication and spread, and highlights direct hepatocyte damage. Viral replication was readily detectable upon infection of primary human hepatocytes and hepatoma cells with the ancestral SARS-CoV-2, Delta, and Omicron variants.
View Article and Find Full Text PDFJMIR Form Res
January 2025
Center for Infectious Disease Education and Research, Osaka University, Co-creation BLDG. D88-1, 2-1 Yamadaoka, Suita, Osaka, 565-0871, Japan, 81 50-5604-3730.
Background: The COVID-19 pandemic has caused serious health, economic, and social consequences worldwide. Understanding how infectious diseases spread can help mitigate these impacts. The Theil index, a measure of inequality rooted in information theory, is useful for identifying geographic disproportionality in COVID-19 incidence across regions.
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