BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Vrije Universiteit Amsterdam//NONSGML v1.0//EN NAME:PhD defence M.V. Pozo Garcia METHOD:PUBLISH BEGIN:VEVENT DTSTART:20260417T114500 DTEND:20260417T131500 DTSTAMP:20260417T114500 UID:phd-defence-m-v-pozo-garcia@8F96275E-9F55-4B3F-A143-836282E12573 CREATED:20260924T162235 LOCATION:Main building VU, 1105, Aula, De Boelelaan, 1081 HV, Amsterdam SUMMARY:PhD defence M.V. Pozo Garcia X-ALT-DESC;FMTTYPE=text/html:

From Spectra to Path ways: Assessing Metabolic Function and Nutrient Modulation of Liver I n Vitro Systems by LC-MS metabolomics

New step in drug research: improved insight into liver function thanks to advanc ed analytical technique

Her research shows that these so-called in vitro liver sys tems can be evaluated more effectively by looking not only at individ ual enzymatic reactions, but at entire metabolic pathways. By applyin g LC-MS metabolomics, Pozo Garcia also identified which nutrients in the culture medium influence the maturation of liver cells in the lab . This is crucial, as better-developed liver models can make more rel iable predictions about the efficacy and safety of new drugs.

< strong>Personalized medicine
A notable outcome is the com bination of stem cell technology with this analytical method. This ma kes it possible to model hepatic responses based on individual donors . In turn, this opens the door to personalized medicine: researchers can predict, for each individual, how drugs are metabolized and wheth er potentially harmful byproducts are formed. It also becomes easier to detect disruptions in metabolism, for example due to disease or ex posure to xenobiotic substances.

More reliable laboratory model s can make the drug development process safer and more efficient. In addition, the use of animal testing could be reduced over time as bet ter alternatives become available. Although animal models are still n eeded for now, these findings mark a clear step toward more ethical a nd patient-centered drug development.

More information on the < a href="https://hdl.handle.net/1871.1/1da71055-1157-4ba0-82c8-ab5bca0 24efe" data-new-window="true" target="_blank" rel="noopener noreferre r">thesis

DESCRIPTION: From Spectra to Pathways: Assessing Metabolic Function an d Nutrient Modulation of Liver In Vitro Systems by LC-MS metabolomics

New step in drug research: improved insight into liver f unction thanks to advanced analytical technique

Biochemi st Victoria Pozo Garcia has made a significant advance in improving i n vitro laboratory models of the liver. Using an advanced technique- liquid chromatography coupled with mass spectrometry (LC-MS)- she was able to map more precisely how these models process drugs and how th eir metabolism functions.Her research shows that these so-called in v itro liver systems can be evaluated more effectively by looking not o nly at individual enzymatic reactions, but at entire metabolic pathwa ys. By applying LC-MS metabolomics, Pozo Garcia also identified which nutrients in the culture medium influence the maturation of liver ce lls in the lab. This is crucial, as better-developed liver models can make more reliable predictions about the efficacy and safety of new drugs.Personalized medicine
A notable outcome is the combination of stem cell technology with this analytical method. This makes it possible to model hepatic responses based on individual donors. In turn, this opens the door to personalized medicine: resea rchers can predict, for each individual, how drugs are metabolized an d whether potentially harmful byproducts are formed. It also becomes easier to detect disruptions in metabolism, for example due to diseas e or exposure to xenobiotic substances.More reliable laboratory model s can make the drug development process safer and more efficient. In addition, the use of animal testing could be reduced over time as bet ter alternatives become available. Although animal models are still n eeded for now, these findings mark a clear step toward more ethical a nd patient-centered drug development.More information on the thes is END:VEVENT END:VCALENDAR