Dr. López Hernández began to work in Mexico (2013), as Technical Supervisor of Biosciences
Center, Autonomous University of San Luis Potosi.
She carries out research in public health, identifying biomarkers for the diagnosis and
prognosis of chronic and infectious diseases, cancer and diseases that affect the mother-newborn
bionomie.
Author of 45 indexed scientific articles, book chapters and three international patents. She has
obtained financing in five research projects (CONACyT 2016, 2017, 2020, 2021, 2022) to acquire
and maintain specialized mass spectrometry infrastructure and to conduct research in Gestational
Diabetes Mellitus and COVID-19. She has participated in more than 100 national and international
conferences. She has supervised 21 undergraduate and graduate students (13 bachelor, 5 master
and 3 doctorate thesis).
Member of the Board of Directors of the Mexican Society of Proteomics (2018-2022) and Founding
Member of the Integrative Biology Society and Metabolomics Society. Member of the National
System of Researchers since 2015 (level 2).
Abstract
COVID-19 has posed significant challenges to our current perspective on how to diagnose,
treat, manage, and even live with an infectious disease. Rather than being just a
respiratory disease, COVID-19 is a complex vascular disease that causes immune system
impairment, viral persistence, and long-term metabolic disturbances, leading to the
recently named post-COVID-19 syndrome. Metabolomics has revealed deep and sustained
disturbances in multiple pathways, allowing the proposal of possible diagnostic and
prognostic biomarkers. In addition, several therapeutic alternatives have been proposed
and are currently under study, based on metabolomics findings. Our group studied a
population of 248 patients recruited in Mexico during the first epidemic wave, with
different disease severity, as well as 130 healthy controls, recovered and post-COVID-19
patients. Plasma samples were collected within the first 24 hours after hospital admission
and a combination of targeted and untargeted metabolomics was performed. In addition,
the cytokines involved in the antiviral and inflammatory response (IFNα, IFNβ, IFNλ-1,
IFNλ-2/3 IFN-γ, IL-12p70, IP-10 (CXCL10), IL-6, IL-10, IL- 18, IL-1β, TNF-α, GM-CSF) were
measured by flow cytometry. The microRNAs involved in inflammatory processes (miR-16,
miR-155, miR-221, miR-146a and miR-34) were quantified by quantitative reverse
transcriptase-polymerase chain reaction (RT-qPCR). Analyzes revealed an integrated host-
dependent dysregulation of inflammatory cytokines, neutrophil-activating chemokines,
glycolysis, mitochondrial metabolism, amino acid metabolism, polyamine synthesis, and
lipid metabolism, typical of sepsis and hyperinflammatory processes. We have also
employed machine learning approaches with genetic algorithms to investigate publicly
accessible datasets containing metabolite concentration data, revealing common classes
of compounds that could be targeted for ameliorating clinical manifestations of the
disease and post-COVID-19 syndrome.
Date & Time
Sunday Sept 18th, 11:30 am – 12:10 pm