Lipids attribution for controls and dengue groups according with Lipid Maps database, obtained via exploratory metabolomics from human serum.

Lipids attribution for controls and dengue groups according with Lipid Maps database, obtained via exploratory metabolomics from human serum.

<p>Lipids attribution for controls and dengue groups according with Lipid Maps database, obtained via exploratory metabolomics from human serum.</p>

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Bibliographic Details
Main Author:	Ricardo E. Correa Fierro (22676430) (author)
Other Authors:	Noroska Gabriela Mogollón Salazar (22676433) (author), Washington B. Cárdenas (3213597) (author), Evencio Joel Medina-Villamizar (22676436) (author), Jefferson Pastuña-Fasso (22676439) (author), Melanie Ochoa-Ocampo (21222826) (author), Giovanna Morán-Marcillo (22676442) (author), Mary Ernestina Regato Arrata (22676445) (author), Mildred Zambrano (16641645) (author), Joyce Andrade (16641648) (author), Juan Chang (8280894) (author), Saurabh Mehta (367781) (author), Fernanda Bertuccez Cordeiro (16641642) (author)
Published:	2025
Subjects:	Biochemistry Medicine Microbiology Cell Biology Biotechnology Cancer Virology Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified receiver operating characteristic highest predictive power faster patient screening component 5 showing complex immune response serum lipid metabolome evaluate biomarker performance denv ), triggers serum lipidomics profiling new diagnostic tools div >< p disproportionately affects children assess group separation pediatric dengue fever dengue virus infection denv infected group dengue virus dengue fever lipid metabolism diagnostic methods diagnosis tools dengue research biomarker potential biomarker discovery z </ subtropical regions metabolic alterations may contribute mass spectrometry key role glycerol lipids fatty acids despite advancements curve analysis adolescents infected 68345 ). 15 ).
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Summary:	<p>Lipids attribution for controls and dengue groups according with Lipid Maps database, obtained via exploratory metabolomics from human serum.</p>

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