RT Conference Proceedings
T1 Metabolite fingerprint detected with HR-MAS spectroscopy in ex vivo samples of cases with congenital hydrocephalus
A1 Jiménez-Lara, Antonio Jesús
A1 García-Martín, María Luisa
A1 Muñoz, Carmen
A1 Domínguez-Pinos, Dolores
A1 Martínez-León, María Isabel
A1 Gutiérrez-Pérez, Antonia
A1 Pérez-Fígares, José Manuel
K1 Hidrocefalia
K1 Metabolitos
AB Background:Changes in the profile of metabolites in brain and/or fluids can be useful to evaluate the severity and evolution of hydrocephalus, and consequently to help in treatment decisions. Magnetic Resonance Spectroscopy can be used in ex vivo samples for such purposes. This study was designed to evaluate the levels of metabolites in the hyh mouse brain with congenital hydrocephalus by High Resolution Magic Angle Spinning (HR-MAS) Magnetic Resonance Spectroscopy (MRS).Materials and Methods:Wild type and hydrocephalic hyh mice at 30 days of postnatal age were sacrificed (n = 10-15 mice/disease condition), and hippocampus and neocortex were quickly dissected out, frozen in dry ice, and stored at -80ºC, before analysis by HR-MAS. Results:Similar levels of choline (Cho) were detected in the hippocampus and neorcortex of hydrocephalic mice compared to control samples, however phosphocholine (PCh) and glycerophosphorylcholine (GPC) displayed lower levels. These molecules are implied in the Kennedy pathway of phosphatidylcholine metabolism. The antioxidant tripeptide glutathione (GSH) was detected in higher quantities in the hydrocephalic mice, probably revealing a response to an oxidative metabolism. Other metabolites displayed remarkably higher levels in samples from hydrocephalic mice, such as creatine (Cr), taurine (Tau) and glutamine (Gln).Conclusions:HR-MAS was found as a reliable technique to detect differential levels of metabolites in small tissue biopsies samples from mice models with hydrocephalus. This technique represents a valuable tool for monitoring the degree of severity and/or the evolution of the disease in such models.
YR 2014
FD 2014-07-16
LK http://hdl.handle.net/10630/7843
UL http://hdl.handle.net/10630/7843
LA eng
NO Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.                  Supported by the grants PI12/0631 to AJJ; SERAM to MIML
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 1 mar 2026