Belén Fernández Requena

ORCID: 0000-0003-4710-0685
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About
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Research Areas
  • Metabolomics and Mass Spectrometry Studies
  • Mass Spectrometry Techniques and Applications
  • Cell Adhesion Molecules Research
  • Growth Hormone and Insulin-like Growth Factors
  • Advanced Proteomics Techniques and Applications
  • Adipose Tissue and Metabolism
  • Cellular Mechanics and Interactions
  • Gut microbiota and health
  • Birth, Development, and Health
  • Lipid Membrane Structure and Behavior
  • Hydrological Forecasting Using AI
  • Advanced Chemical Sensor Technologies

Universidad San Pablo CEU
2024-2025

Universidad San Pablo
2023

University of Alabama
2023

University of Alabama at Birmingham
2023

Abstract Accurate lipid annotation is crucial for understanding the role of lipids in health and disease identifying therapeutic targets. However, annotating wide variety species biological samples remains challenging untargeted lipidomic studies. In this work, we present a workflow based on LC-MS MS/MS strategies, combination four bioinformatic tools, decision tree to support accurate semi-quantification lung tissue from control mice. The proposed allowed us generate lung-based ATLAS...

10.1038/s42003-023-05680-7 article EN cc-by Communications Biology 2024-01-05

Abstract Recombinant human growth hormone (rhGH) therapy is the primary treatment for children born small gestational age (SGA) who fail to show spontaneous catch-up by two or four years. While its effects on white adipose tissue are well-documented, this pilot study aimed investigate impact lipidome and thermogenic endocrine activities of brown (BAT) in SGA following rhGH treatment. The involved 11 divided into groups: (a) were not treated with ( n = 4) (b) received Saizen ® 7). This second...

10.1038/s41598-025-89546-4 article EN cc-by Scientific Reports 2025-02-08

Urine analysis has remained a fundamental and widely used method in clinical diagnostics for over century. With its minimal invasive nature comprehensive range of analytes, urine established itself as diagnostic tool various disorders, including renal, urological, metabolic, endocrine diseases. Furthermore, urine's unique attributes make it an attractive matrix biomarker discovery, well assessing the metabolic physiological states patients healthy individuals alike. However, limitations our...

10.1016/j.aca.2024.342433 article EN cc-by-nc Analytica Chimica Acta 2024-03-02

Abstract Background and Aims The accumulation of lipids in podocytes has been shown to be a mediator kidney injury diabetic disease (DKD). Recent animal studies have evidence podocyte lipotoxicity Alport syndrome (AS). First, discoidin domain receptor 1 (DDR1) is overactivated by excessive α1 chain type collagen AS resulting CD36 activation, producing direct increasing reuptake free fatty acids (FFAs). Furthermore, local overexpression glomerular tumor necrosis factor observed AS, which...

10.1093/ndt/gfae069.231 article EN other-oa Nephrology Dialysis Transplantation 2024-05-01

Abstract Accurate lipid annotation is crucial for understanding the role of lipids in health and disease identifying therapeutic targets. However, annotating wide variety species biological samples remains challenging untargeted lipidomic studies. In this work, we present an optimized workflow based on combination LC-MS MS/MS strategies, four bioinformatic tools, a decision-tree-based approach to support accurate semi-quantification lung tissue from control mice. The developed allowed us...

10.21203/rs.3.rs-3235650/v1 preprint EN cc-by Research Square (Research Square) 2023-09-20
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