Page 78 - Memora anual Fundación CIEN 2015
P. 78

hand, DNA is extracted from blood cells to deter-      4.3.8. Neuroimaging studies
mine, by PCR and sequencing techniques, genetic
markers associated with the various polymorphisms      Knowing the morphological variations occurring in
of the following genes: APOE, CR1, BIN1, CLU, PI-      brain structure throughout life is essential to assess
CALM, ABCA7, SORL1, PRNP, GRM8, BACE1.                 the corresponding pathological changes that occur
                                                       in neurodegenerative diseases. In this context, neu-
Furthermore, the blood samples collected and deri-     roimaging techniques such as magnetic resonance
vatives are used to determine a number of bioche-      imaging (MRI) have led to significant progress in un-
mical markers among which the following are of         derstanding brain changes associated with age.
special interest:

   • Vascular damage markers, cytokines and            MRI is a noninvasive tool that allows the study of nor-
       chemokines involved in human lipid              mal aging individuals at different moments of his life.
       metabolism and proinflammatory.                 However, conventional MRI techniques are unable
                                                       to detect and quantify age-dependent microstruc-
   • The following molecules:: MMP-9, Serpin           tural changes who have been described in post-
       E1/PAI-1, E-Selectin, ICAM-1, VCAM-1, IL-1      mortem studies of brain tissue. Accordingly, the
       beta, IL-6, CXCL8/IL-8, CCL2/MCP-1, TNF-        project aims to conduct a series of studies based on
       alpha, Adiponectin/Acrp30, CRP, P-Selectin y    various MRI modern techniques that can provide vo-
       MMP-3.                                          lumetric quantitative indexes of the morphological
                                                       changes.
The utility of these biomarkers complements the in-
formation derived from the study of genetic risk mar-  In this regard VBM (voxel-based morphometry tech-
kers mentioned above and can define risk factors       niques), based on creating statistical comparisons of
made evident in previous studies.                      gray and white matter patterns are the method of
                                                       choice in research. The discriminatory power of vo-
Samples collected and processed to date are sum-       lumetry in degenerative pathologies such as Alzhei-
marized in the table below:                            mer's disease (volumetric reduction in amygdala,
                                                       hippocampus, entorhinal cortex, etc..) decreases if
First visit                              1.169         age-dependent morphological changes are not
Second visit                               851         well established in control samples, so that it is critical
                                                       to have large, well quantified samples.

Third visit                                822         • Structural Study (3D volumetry, T2 and FLAIR)
Fourth visit                               456            Determining the progressive loss of brain
Fifth visit                                               volume during aging, especially in white
Total                                         5           matter provides volumetric quantitative
                                         3.390            indexes of the morphological aging-
                                                          associated changes. In this sense, the VBM
                                                          (Voxel-Based Morphometry) techniques,
                                                          based on creating statistical comparisons of
                                                          gray and white matter patterns constitute the
                                                          method of choice, and allows us to

CIEN Foundation Annual Report 2015 / 80
   73   74   75   76   77   78   79   80   81   82   83