Increased CSF-decorin predicts brain pathological changes driven by Alzheimer's Aß amyloidosis.

Cerebrospinal fluid (CSF) biomarkers play an important role in diagnosing Alzheimer's disease (AD) which is characterized by amyloid-ß (Aß) amyloidosis. Here, we used two App knock-in mouse models, AppNL-F/NL-F and AppNL-G-F/NL-G-F, exhibiting AD-like Aß pathology to analyze how the brain pathologies translate to CSF proteomes by label-free mass spectrometry (MS). This identified several extracellular matrix (ECM) proteins as significantly altered in App knock-in mice. Next, we compared mouse CSF proteomes with previously reported human CSF MS results acquired from patients across the AD spectrum. Intriguingly, the ECM protein decorin was similarly and significantly increased in both AppNL-F/NL-F and AppNL-G-F/NL-G-F mice, strikingly already at three months of age in the AppNL-F/NL-F mice and preclinical AD subjects having abnormal CSF-Aß42 but normal cognition. Notably, in this group of subjects, CSF-decorin levels positively correlated with CSF-Aß42 levels indicating that the change in CSF-decorin is associated with early Aß amyloidosis. Importantly, receiver operating characteristic analysis revealed that CSF-decorin can predict a specific AD subtype having innate immune activation and potential choroid plexus dysfunction in the brain. Consistently, in AppNL-F/NL-F mice, increased CSF-decorin correlated with both Aß plaque load and with decorin levels in choroid plexus. In addition, a low concentration of human Aß42 induces decorin secretion from mouse primary neurons. Interestingly, we finally identify decorin to activate neuronal autophagy through enhancing lysosomal function. Altogether, the increased CSF-decorin levels occurring at an early stage of Aß amyloidosis in the brain may reflect pathological changes in choroid plexus, present in a subtype of AD subjects.

Expression changes of genes associated with apoptosis and survival processes in Parkinson's disease.

Parkinson's disease (PD) is a neurodegenerative disorder characterized by progressive degeneration of the dopaminergic neurons in substantia nigra, presumably due to increased apoptosis and oxidative stress. To investigate whether PD-induced survival/apoptosis gene expression changes can serve as prognostic biomarkers of PD, we measured expression levels of phosphatidylinositol-4,5-bisphosphate 3-kinase (PI3K)/Akt pathway factors and additional apoptotic and anti-apoptotic factors in peripheral blood mononuclear cells (PBMC) of PD patients (n=50) and healthy controls (n=50) by real time PCR. Expression levels of apoptotic factors phosphatase and tensin homolog (PTEN) and mitochondrial apoptosis-inducing factor 1 (AIFM1) were significantly decreased, anti-apoptotic factors DJ-1 and Akt-1 were significantly increased and anti-apoptotic Bcl-2 was significantly decreased in PD patients. Expression levels of AIFM1 were significantly correlated with Hoehn-Yahr scores. Moreover, PD patients with postural instability showed significantly reduced expression levels of anti-apoptotic DJ-1, Akt-1 and mTOR than PD patients without postural instability. Expression profiles of brain samples of mice with rotenone-induced PD model and PBMC samples of PD patients showed remarkable resemblance. Our results indicate that the anti-apoptotic PI3K/Akt pathway is over activated in PD, presumably as an effort to compensate for increased neuronal apoptosis and oxidative stress. By contrast, patients with postural instability show reduced anti-apoptotic factor expression suggesting that this compensating mechanism fails in patients with this particular motor symptom. PBMC expression levels of AIFM1 might serve as a biomarker of disability and disease progression in PD.

Identification of a novel BRCA2 and CHEK2 A-C-G-C haplotype in Turkish patients affected with breast cancer.

BACKGROUND: Many breast cancers are caused by certain rare and familial mutations in the high or moderate penetrance genes BRCA1, BRCA2 and CHEK2. The aim of this study was to examine the allele and genotype frequencies of seven mutations in BRCA1, BRCA2 and CHEK2 genes in breast cancer patients and to investigate their isolated and combined associations with breast cancer risk. METHODS: We genotyped seven mutations in BRCA1, BRCA2 and CHEK2 genes and then analyzed single variations and haplotype associations in 106 breast cancer patients and 80 healthy controls. RESULTS: We found significant associations in the analyses of CHEK2- 1100delC (p=0.001) and BRCA1-5382insC (p=0.021) mutations in breast cancer patients compared to controls. The highest risk was observed among breast cancer patients carrying both CHEK2-1100delC and BRCA2- Met784Val mutations (OR=0.093; 95%CI 0.021-0.423; p=0.001). We identified one previously undescribed BRCA2 and a CHEK2 four-marker haplotype of A-C-G-C which was overrepresented (?2=7.655; p=0.0057) in the patient group compared to controls. CONCLUSION: In this study, we identified a previously undescribed BRCA2 and CHEK2 A-C-G-C haplotype in association with the breast cancer in our population. Our results further suggest that the CHEK2-1100delC mutation in combination with BRCA2-Met784Val may lead to an unexpected high risk which needs to be confirmed in larger cohorts in order to better understand their role in the development and prognosis of breast cancer.