Our results show a consistent evidence of shorter telomeres in AD patients and highlight the importance of the analysis of epigenomic markers associated with neurodegeneration and with the risk for common and severe neurological diseases, such as AD.

The pattern of alcohol consumption in the form of binge drinking (BD) or heavy episodic drinking has increased notably worldwide in recent years, especially among adolescent and young people, being currently recognized as a global health problem. Although only a minority of binge drinkers will develop a substance use disorder, BD may have negative personal and social consequences in the short and medium term. The objective of this article is to review the findings on personality traits related to binge drinkers and to emphasize the aspects that should be examined in order to make progress in this area. The main characteristics of personality related to the practice of BD, regardless of the theoretical model used, are high Impulsivity and high Sensation seeking, as well as Anxiety sensitivity, Neuroticism (Hopelessness), Extraversion and low Conscientiousness. The data obtained may have theoretical implications to elucidate the endophenotype of BD, but they are especially useful for their preventive applications. Integration into prevention programs of emotional self-control skills, decision-making, social skills, and strategies to manage negative emotions will minimize the risk factors or consequences of BD associated with personality and will improve their effectiveness. In the future, it is necessary to harmonize a common measurement instrument for the assessment of personality, develop longitudinal studies with large samples that also integrate biological and neurocognitive measurements, and determine the reciprocal relationship between personality and BD together with its modulating variables, as well as the possible cultural differences.

Comprehensive analysis of DNA methylation patterns is critical for understanding the molecular basis of many human diseases. While hundreds of PCR-based DNA methylation studies are published every year, the selection and implementation of appropriate methods for these studies can be challenging for molecular genetics researchers not yet familiar with methylation analysis. Here we review the most commonly used PCR-based DNA methylation analysis techniques: bisulfite sequencing PCR (BSP), methylation specific PCR (MSP), MethyLight, and methylation-sensitive high resolution melting (MS-HRM). We provide critical analysis of the strengths and weaknesses of each approach as well as a series of guidelines to assist in selecting and implementing an appropriate method.

Sequence analysis of 13 microRNA (miRNA) genes expressed in the human brain and located in genomic regions associated with schizophrenia and/or bipolar disorder, in a northern Swedish patient/control population, resulted in the discovery of two functional variants in the MIR137 gene. On the basis of their location and the allele frequency differences between patients and controls, we explored the hypothesis that the discovered variants impact the expression of the mature miRNA and consequently influence global mRNA expression affecting normal brain functioning. Using neuronal-like SH-SY5Y cells, we demonstrated significantly reduced mature miR-137 levels in the cells expressing the variant miRNA gene. Subsequent transcriptome analysis showed that the reduction in miR-137 expression led to the deregulation of gene sets involved in synaptogenesis and neuronal transmission, all implicated in psychiatric disorders. Our functional findings add to the growing data, which implicate that miR-137 has an important role in the etiology of psychiatric disorders and emphasizes its involvement in nervous system development and proper synaptic function.

MicroRNAs (miRNAs) are a class of nonprotein coding genes with a growing importance in regulatory mechanisms of gene expression related to brain function and plasticity. Considering the relative lack of success of the analysis of variations in candidate protein coding genes and of genome-wide association studies to identify strong risk factors for common psychiatric disorders (PDs), miRNA genes are of particular interest for the field of psychiatric genetics as deregulation of the rate of transcription or translation of a normal gene may be phenotypically similar to disruption of the gene itself. In this article we review the current knowledge on the contribution of miRNAs in basic mechanisms of brain development and plasticity and their possible involvement in the pathogenesis of several PDs. Because future functional and genomic explorations of brain expressed miRNAs, and other types of noncoding RNAs, may identify additional candidate genes and pathways for common PDs, we believe that implementing additional strategies to further elucidate the role of miRNAs in the etiology of common PDs is of great importance.

Parkinson’s disease (PD) is a common and severe movement disorder. Differences in telomere length (TL) have been reported as possible risk factors for several neuropsychiatric disorders, including PD. Results from published studies for TL in PD are inconsistent, highlighting the need for a meta-analysis. In the current work, a meta-analysis of published studies for TL in PD was carried out. PubMed, Web of Science and Google Scholar databases were used to identify relevant articles that reported TL in groups of PD patients and controls. A random-effects model was used for meta-analytical procedures. The meta-analysis included eight primary studies, derived from populations of European and Asian descent, and did not show a significant difference in TL between 956 PD patients and 1284 controls (p value: 0.246). Our results show that there is no consistent evidence of shorter telomeres in PD patients and suggest the importance of future studies on TL and PD that analyze other populations and also include assessment of TL from different brain regions.

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The recent explosion in the number of predatory journals has led to the appearance of questionable websites providing fake or spurious impact factors, which are analyzed and discussed here. We believe that academic associations, universities, and research funding bodies must take action to stop these questionable practices.