Gene-disease network analysis reveals functional modules in mendelian, complex and environmental diseases

AbstractBACKGROUND: Scientists have been trying to understand the molecular mechanisms of diseases to design preventive and therapeutic strategies for a long time. For some diseases, it has become evident that it is not enough to obtain a catalogue of the disease-related genes but to uncover how disruptions of molecular networks in the cell give rise to disease phenotypes. Moreover, with the unprecedented wealth of information available, even obtaining such catalogue is extremely difficult.PRINCIPAL FINDINGS: We developed a comprehensive gene-disease association database by integrating associations from several sources that cover different biomedical aspects of diseases. In particular, we focus on the current knowledge of human genetic diseases including mendelian, complex and environmental diseases. To assess the concept of modularity of human diseases, we performed a systematic study of the emergent properties of human gene-disease networks by means of network topology and functional annotation analysis. The results indicate a highly shared genetic origin of human diseases and show that for most diseases, including mendelian, complex and environmental diseases, functional modules exist. Moreover, a core set of biological pathways is found to be associated with most human diseases. We obtained similar results when studying clusters of diseases, suggesting that related diseases might arise due to dysfunction of common biological processes in the cell.CONCLUSIONS: For the first time, we include mendelian, complex and environmental diseases in an integrated gene-disease association database and show that the concept of modularity applies for all of them. We furthermore provide a functional analysis of disease-related modules providing important new biological insights, which might not be discovered when considering each of the gene-disease association repositories independently. Hence, we present a suitable framework for the study of how genetic and environmental factors, such as drugs, contribute to diseases.AVAILABILITY: The gene-disease networks used in this study and part of the analysis are available at http://ibi.imim.es/DisGeNET/DisGeNETweb.html#Download

Circulating miRNAs: a new generation of anti-doping biomarkers

MicroRNAs (miRNAs) are small non-coding RNAs that regulate a variety of biological processes. Cell-free miRNAs detected in blood plasma are used as specific and sensitive markers of physiological processes and some diseases. Circulating miRNAs are highly stable in body fluids, for example plasma. Therefore, profiles of circulating miRNAs have been investigated for potential use as novel, non-invasive anti-doping biomarkers. This review describes the biological mechanisms underlying the variation of circulating miRNAs, revealing that they have great potential as a new class of biomarker for detection of doping substances. The latest developments in extraction and profiling technology, and the technical design of experiments useful for anti-doping, are also discussed. Longitudinal measurements of circulating miRNAs in the context of the athlete biological passport are proposed as an efficient strategy for the use of these new markers. The review also emphasizes potential challenges for the translation of circulating miRNAs from research into practical anti-doping applications.

Report of the ECCO workshop on anti-TNF therapy failures in inflammatory bowel diseases: biological roles and effects of TNF and TNF antagonists.

This second section of the first ECCO pathogenesis workshop on anti-TNF therapy failures in inflammatory bowel diseases addresses the biological roles of TNFα and the effects and mechanisms of action of TNFα antagonists. Mechanisms underlying their failure, including induction of TNF-independent inflammatory pathways and phenomena of paradoxical inflammation are discussed.

Evolutionary analysis of genetic variants involved in rare diseases

Next-generation sequencing techniques such as exome sequencing can successfully detect all genetic variants in a human exome and it has been useful together with the implementation of variant filters to identify causing-disease mutations. Two filters aremainly used for the mutations identification: low allele frequency and the computational annotation of the genetic variant. Bioinformatic tools to predict the effect of a givenvariant may have errors due to the existing bias in databases and sometimes show a limited coincidence among them. Advances in functional and comparative genomics are needed in order to properly annotate these variants.The goal of this study is to: first, functionally annotate Common Variable Immunodeficiency disease (CVID) variants with the available bioinformatic methods in order to assess the reliability of these strategies. Sencondly, as the development of new methods to reduce the number of candidate genetic variants is an active and necessary field of research, we are exploring the utility of gene function information at organism level as a filter for rare disease genes identification. Recently, it has been proposed that only 10-15% of human genes are essential and therefore we would expect that severe rare diseases are mostly caused by mutations on them. Our goal is to determine whether or not these rare and severe diseases are caused by deleterious mutations in these essential genes. If this hypothesis were true, taking into account essential genes as a filter would be an interesting parameter to identify causingdisease mutations.

Maladies vasculaires rares [Rare vascular diseases].

Scarce knowledge of vascular rare diseases, defined by prevalence lower than 1/2000, is accompanied by increased patients mis-management and impaired quality of life. Recent advances in clinical knowledge, molecular biology, and genetic evaluation of certain vascular rare diseases allows designing new management strategies. A tight coordinated collaboration between angiologists and other specialists is therefore necessary to optimize patient's care.

Long-distance wolf recolonization of France and Switzerland inferred from non-invasive genetic sampling over a period of 10 years

In the early 1900s, the wolf (Canis lupus) was extirpated from France and Switzerland. There is growing evidence that the species is presently recolonizing these countries in the western Alps. By sequencing the mitochondrial DNA (mtDNA) control region of various samples mainly collected in the field (scats, hairs, regurgitates, blood or tissue; n = 292), we could (1) develop a non-invasive method enabling the unambiguous attribution of these samples to wolf, fox (Vulpes vulpes) or dog (Canis familiaris), among others; (2) demonstrate that Italian, French and Swiss wolves share the same mtDNA haplotype, a haplotype that has never been found in any other wolf population world-wide. Combined together, field and genetic data collected over 10 years corroborate the scenario of a natural expansion of wolves from the Italian source population. Furthermore, such a genetic approach is of conservation significance, since it has important consequences for management decisions. This first long-term report using non-invasive sampling demonstrates that long-distance dispersers are common, supporting the hypothesis that individuals may often attempt to colonize far from their native pack, even in the absence of suitable corridors across habitats characterized by intense human activities.

On the Selection of Non-Invasive Methods Based on Speech Analysis Oriented to Automatic Alzheimer Disease Diagnosis

The work presented here is part of a larger study to identify novel technologies and biomarkers for early Alzheimer disease (AD) detection and it focuses on evaluating the suitability of a new approach for early AD diagnosis by non-invasive methods. The purpose is to examine in a pilot study the potential of applying intelligent algorithms to speech features obtained from suspected patients in order to contribute to the improvement of diagnosis of AD and its degree of severity. In this sense, Artificial Neural Networks (ANN) have been used for the automatic classification of the two classes (AD and control subjects). Two human issues have been analyzed for feature selection: Spontaneous Speech and Emotional Response. Not only linear features but also non-linear ones, such as Fractal Dimension, have been explored. The approach is non invasive, low cost and without any side effects. Obtained experimental results were very satisfactory and promising for early diagnosis and classification of AD patients.

La place des registres dans la surveillance des maladies transmissibles. [The role of registries in the surveillance of transmissible diseases].

Registries are among the oldest methods used in public health for epidemiological surveillance and decision making in the area of communicable diseases. Although other sources of data are now available in many developed countries, registries still provide important information. This article reviews the main aims and characteristics of modern registries, providing several examples of current epidemiological problems. Practical advantages and disadvantages of registries are also discussed, as well as some developmental perspectives in this area.

Nonmolecular methods for the diagnosis of respiratory fungal infections.

Diagnosis of invasive fungal pneumonias by conventional culture methods is difficult to assess and often delayed. Nonmolecular fungal markers have emerged as an important adjunctive tool to support their diagnosis in combination with other clinical, radiologic, and microbiological criteria of invasive fungal diseases. Concerns about the sensitivity and specificity of some tests in different patient populations should lead to warnings about their widespread use. None can identify the emerging and particularly deadly fungal pathogens responsible for mucormycosis. The role of nonmolecular fungal markers should be better defined in combination with other microbiological and radiologic tools in preemptive antifungal strategies.

Copy number variants, diseases and gene expression.

Copy number variation (CNV) has recently gained considerable interest as a source of genetic variation likely to play a role in phenotypic diversity and evolution. Much effort has been put into the identification and mapping of regions that vary in copy number among seemingly normal individuals in humans and a number of model organisms, using bioinformatics or hybridization-based methods. These have allowed uncovering associations between copy number changes and complex diseases in whole-genome association studies, as well as identify new genomic disorders. At the genome-wide scale, however, the functional impact of CNV remains poorly studied. Here we review the current catalogs of CNVs, their association with diseases and how they link genotype and phenotype. We describe initial evidence which revealed that genes in CNV regions are expressed at lower and more variable levels than genes mapping elsewhere, and also that CNV not only affects the expression of genes varying in copy number, but also have a global influence on the transcriptome. Further studies are warranted for complete cataloguing and fine mapping of CNVs, as well as to elucidate the different mechanisms by which they influence gene expression.

Microglia, Calcification and Neurodegenerative Diseases

Neurodegeneration is a complex process involving different cell types andneurotransmitters. A common characteristic of neurodegenerative disorders such asAlzheimer’s disease (AD), Parkinson’s disease (PD), multiple sclerosis, Huntington’s disease (HD) and Amyotrophic Lateral Sclerosis (ALS) is the occurrence of a neuroinflammatoryreaction in which cellular processes involving glial cells (mainly microglia and astrocytes) and T cells are activated in response to neuronal death. This inflammatory reaction has recently received attention as an unexpected potential target for the treatment of these diseases.Microglial cells have a mesenchymal origin, invade the central nervous system (CNS)prenatally (Chan et al., 2007b) and are the resident macrophages in the CNS (Ransohoff &Perry, 2009). They comprise approximately 10-20% of adult glia and serve as the CNS innateimmune system. In neurodegenerative diseases, microglia is activated by misfoldedproteins. In the case of AD, amyloid- (A ) peptides accumulate extracellularly and activate the microglia locally. In the case of PD, ALS and HD, the misfolded proteins accumulate intracellularly but are still associated with activation of the microglia (Perry et al., 2010). Reactive microglia in the substantia nigra and striatum of PD brains have been described, and increased levels of proinflammatory cytokines and inducible nitric oxide synthase havebeen detected in these brain regions, providing evidence of a local inflammatory reaction (Hirsch & Hunot, 2009). The injection of lipopolysaccharide (a potent microglia activator) into the substantia nigra produces microglial activation and the death of dopaminergic cells. These findings support the hypothesis that microglial activation and neuroinflammationcontribute to PD pathogenesis (Herrera et al., 2000)...

Second neoplasms after invasive and borderline ovarian cancer.

Excess risk of subsequent cancers has been documented in women diagnosed with ovarian cancer. We updated to 2006 data on second cancers in women diagnosed with invasive and borderline ovarian cancer in the Swiss canton of Vaud. Between 1974 and 2006, 304 borderline and 1530 invasive first ovarian tumours were abstracted from the Vaud Cancer Registry database and followed up till the end of 2006. Calculation of expected numbers of tumours in the cohorts was based on site-specific, age-specific and calendar-year-specific incidence rates. We computed the standardized incidence ratios (SIRs) of second cancers, and the corresponding 95% confidence intervals (CI). There was no change in the incidence of malignant cancers, but that of borderline tumours increased over more recent years. Overall, 110 second neoplasms were observed versus 49.7 expected after invasive ovarian cancer (SIR 2.21; 95% CI: 1.82-2.67). Significant excess risks were observed for cancers of the breast, corpus uteri and leukaemias. When synchronous cancers were excluded, the overall SIR for all sites declined to 1.05. Thirty-one second neoplasms were observed after borderline tumours compared with 21.1 expected (SIR=1.47; 95% CI: 1.00-2.09). SIRs were above unity for ovary, colorectum and uterus. After exclusion of synchronous neoplasms, SIR for all neoplasms declined to 1.09, and remained significant only for second ovarian cancers (SIR=4.93). The present record linkage cohort study shows an excess risk for selected synchronous neoplasms in women diagnosed with both borderline and invasive ovarian cancer, likely because of shared genetic and perhaps environmental factors.

The environmental roots of non-communicable diseases (NCDs) and the epigenetic impacts of globalization

BACKGROUND: Non-communicable diseases (NCDs) are increasing worldwide. We hypothesize that environmental factors (including social adversity, diet, lack of physical activity and pollution) can become "embedded" in the biology of humans. We also hypothesize that the "embedding" partly occurs because of epigenetic changes, i.e., durable changes in gene expression patterns. Our concern is that once such factors have a foundation in human biology, they can affect human health (including NCDs) over a long period of time and across generations. OBJECTIVES: To analyze how worldwide changes in movements of goods, persons and lifestyles (globalization) may affect the "epigenetic landscape" of populations and through this have an impact on NCDs. We provide examples of such changes and effects by discussing the potential epigenetic impact of socio-economic status, migration, and diet, as well as the impact of environmental factors influencing trends in age at puberty. DISCUSSION: The study of durable changes in epigenetic patterns has the potential to influence policy and practice; for example, by enabling stratification of populations into those who could particularly benefit from early interventions to prevent NCDs, or by demonstrating mechanisms through which environmental factors influence disease risk, thus providing compelling evidence for policy makers, companies and the civil society at large. The current debate on the '25 × 25 strategy', a goal of 25% reduction in relative mortality from NCDs by 2025, makes the proposed approach even more timely. CONCLUSIONS: Epigenetic modifications related to globalization may crucially contribute to explain current and future patterns of NCDs, and thus deserve attention from environmental researchers, public health experts, policy makers, and concerned citizens.