Cargando…
Combining Semi-Targeted Metabolomics and Machine Learning to Identify Metabolic Alterations in the Serum and Urine of Hospitalized Patients with COVID-19
Viral infections cause metabolic dysregulation in the infected organism. The present study used metabolomics techniques and machine learning algorithms to retrospectively analyze the alterations of a broad panel of metabolites in the serum and urine of a cohort of 126 patients hospitalized with COVI...
Autores principales: | Baiges-Gaya, Gerard, Iftimie, Simona, Castañé, Helena, Rodríguez-Tomàs, Elisabet, Jiménez-Franco, Andrea, López-Azcona, Ana F., Castro, Antoni, Camps, Jordi, Joven, Jorge |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9856035/ https://www.ncbi.nlm.nih.gov/pubmed/36671548 http://dx.doi.org/10.3390/biom13010163 |
Ejemplares similares
-
Machine learning and semi-targeted lipidomics identify distinct serum lipid signatures in hospitalized COVID-19-positive and COVID-19-negative patients
por: Castañé, Helena, et al.
Publicado: (2022) -
Measurement of Plasma Galectin-3 Concentrations in Patients with Catheter Infections: A Post Hoc Retrospective Cohort Study
por: Iftimie, Simona, et al.
Publicado: (2022) -
Clinical Performance of Paraoxonase-1-Related Variables and Novel Markers of Inflammation in Coronavirus Disease-19. A Machine Learning Approach
por: Rodríguez-Tomàs, Elisabet, et al.
Publicado: (2021) -
On the Role of Paraoxonase-1 and Chemokine Ligand 2 (C-C motif) in Metabolic Alterations Linked to Inflammation and Disease. A 2021 Update
por: Camps, Jordi, et al.
Publicado: (2021) -
Combining Dietary Intervention with Metformin Treatment Enhances Non-Alcoholic Steatohepatitis Remission in Mice Fed a High-Fat High-Sucrose Diet
por: Baiges-Gaya, Gerard, et al.
Publicado: (2022)