Objective: To compare the rates of conversion to Alzheimer dementia (AD) between subtypes of mild cognitive impairment (MCI) in a community-based birth cohort investigated at age 75 and followed up after 30 months. Methods: The Vienna Trans-Danube Aging Study investigated every inhabitant of the area on the left shore of the river Danube who was born between May 1925 and June 1926. With use of the official voting registry, 1505 subjects were contacted and 697 participated. Data refer to the cohort of 581 nondemented individuals who completed extensive neuropsychological examination at baseline. Follow-up after 30 months was possible in 476 probands (35 deceased). Results: The 141 patients with MCI at baseline were classified into two subtypes. At follow-up, 41 of these patients with MCI were diagnosed with AD. Conversion rates to AD were 48.7% (CI: 32.4 to 65.2) for amnestic MCI and 26.8% (CI: 17.6 to 37.8) for nonamnestic MCI. Another 49 AD cases originated from cognitive health at baseline (12.6%; CI: 9.4 to 16.3). Conclusions: Patients with mild cognitive impairment (MCI) showed a high probability to be diagnosed with Alzheimer dementia (AD) after 30 months. Subtypes of MCI were not useful in defining early stages of various types of dementia: Not only amnestic MCI but also nonamnestic MCI converted frequently to AD, and conversion to vascular dementia and dementia with Lewy bodies was not restricted to nonamnestic MCI.

DNA methylation is part of the epigenetic gene regulation complex, which is relevant for the pathogenesis of cancer. We performed a genome-wide search for methylated CpG islands in tumors and corresponding non-malignant lung tissue samples of 101 stages I–III non-small cell lung cancer (NSCLC) patients by combining methylated DNA immunoprecipitation and microarray analysis. Overall, we identified 2414 genomic positions differentially methylated between tumor and non-malignant lung tissue samples. Ninety-seven percent of them were found to be tumor-specifically methylated. Annotation of these genomic positions resulted in the identification of 477 tumor-specifically methylated genes of which many are involved in regulation of gene transcription and cell adhesion. Tumor-specific methylation was confirmed by a gene-specific approach. In the majority of tumors, methylation of certain genes was associated with loss of their protein expression determined by immunohistochemistry. Treatment of NSCLC cells with epigenetically active drugs resulted in upregulated expression of many tumor-specifically methylated genes analyzed by gene expression microarrays suggesting that about one-third of these genes are transcriptionally regulated by methylation. Moreover, comparison of methylation results with certain clinicopathological characteristics of the patients suggests that methylation of HOXA2 and HOXA10 may be of prognostic relevance in squamous cell carcinoma (SCC) patients. In conclusion, we identified a large number of tumor-specifically methylated genes in NSCLC patients. Expression of many of them is regulated by methylation. Moreover, HOXA2 and HOXA10 methylation may serve as prognostic parameters in SCC patients. Overall, our findings emphasize the impact of methylation on the pathogenesis of NSCLCs.

Knowledge about the extent of total variation experienced between samples from different individuals is of great importance for the design of not only proteomics but every clinical study. This variation defines the smallest statistically significant detectable signal difference when comparing two groups of individuals. We isolated platelets from 20 healthy human volunteers aged 56–100 years because this age group is most commonly encountered in the clinics. We determined the technical and total variation experienced in a proteome analysis using two-dimensional DIGE with IPGs in the pI ranges 4–7 and 6–9. Only spots that were reproducibly detectable in at least 90% of all gels (n = 908) were included in the study. All spots had a similar technical variation with a median coefficient of variation (cv) of about 7%. In contrast, spots showed a more diverse total variation between individuals with a surprisingly low median cv of only 18%. Because most known biomarkers show an effect size in a 1–2-fold range of their cv, any future clinical proteomics study with platelets will require an analytical method that is able to detect such small quantitative differences. In addition, we calculated the minimal number of samples (sample size) needed to detect given protein expression differences with statistical significance.

Background: Clinical subtypes of mild cognitive impairment (MCI) were assigned as potential prodromes to various types of dementia. Amnestic MCI (aMCI) is said to have a high likelihood of progressing to Alzheimer's dementia (AD) and non-amnestic MCI (naMCI) subtypes are assumed to have a higher likelihood of progressing to non-AD dementia. The aim of this study was to investigate the prognostic accuracy of aMCI and naMCI for the development of AD, vascular dementia (VaD), and mixed dementia.Methods: In this longitudinal study, 487 subjects without dementia (cognitively healthy: n = 387; MCI cases: n = 115) aged 75 years at baseline, who participated in a population-based cohort study (Vienna Transdanube Aging study), were available for analysis. The observation period was 90 months. The diagnoses of the clinical MCI subtypes were made according to common criteria. The outcome (AD, VaD, mixed dementia) was described for both MCI subtypes. Diagnostic values of aMCI and naMCI according to incident AD, VaD, and mixed dementia were determined.Results: AD was the most common type of dementia following both MCI subtypes. Participants with aMCI were more likely to progress to AD than participants with naMCI. The proportion of incident VaD and mixed dementia did not differ concerning the MCI subtypes. The positive predictive value for both MCI subtypes was low (range: 1%–46%), whereas the negative predictive value was high (range: 86%–99%).Conclusions: The increased risk of clinical MCI subtypes for a particular type of dementia could only be confirmed for aMCI and incident AD.