Design of platforms for the development of next generation vaccines.

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The project consists of taking advantage of the self-assembling properties of viral proteins, understanding the regulatory mechanisms of these processes and rationally manipulating them through the use of molecular biology and protein biophysics techniques to develop chimeric composite materials that generate immune responses against multiple antigens. Furthermore, the aim is to develop vaccine prototypes based on trained immunity that enables more efficient responses to be triggered against exposure to pathogens.

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Redox homeostasis and respiratory pathologies.

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Several respiratory diseases and the procedures involved in their treatment can generate an abnormal influx of oxygen to the body, either by default (hypoxia) or excess (hyperoxia). These variations can generate, in the mitochondria, the generation of reactive oxygen species that can have deleterious effects on the body. In turn, these variations can generate alterations in redox homeostasis, which are recorded by the body. This project involves the study of the regulatory mechanisms and effectors involved in sensing and redox homeostasis in respiratory diseases such as bronchiolitis and bronchopulmonary dysplasia.

Molecular bases of host-pathogen interaction in respiratory viruses.

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Viruses have a large number of resources that allow them to evade the immune response that is mounted in defense against them, giving rise to a dance in which multiple factors of both the host and the pathogen participate. This project tries to elucidate the molecular bases behind these effector mechanisms, with a main focus on the various immunomodulatory processes and the effector proteins involved. These proteins are studied both in vitro and in vivo, using spectroscopic, biophysical techniques, and the development of rationally designed recombinant pseudoviruses and viruses.

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Discovery of endotypes in respiratory diseases.

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For any disease, phenotypes describe observable characteristics (clinical, physiological, morphological, biochemical, and response to treatment) without a relationship to the underlying pathophysiology, and a significant overlap is generally observed between them. However, endotypes constitute a specific biological pathway that originates from a pathophysiological mechanism of disease. The discovery of endotypes, using artificial intelligence techniques and machine learning from the analysis of a large volume of data, allows the identification of pathophysiological bases of diseases that, ultimately, enable the development of personalized treatments.