33 research outputs found
A Densely Interconnected Genome-Wide Network of MicroRNAs and Oncogenic Pathways Revealed Using Gene Expression Signatures
MicroRNAs (miRNAs) are important components of cellular signaling pathways, acting either as pathway regulators or pathway targets. Currently, only a limited number of miRNAs have been functionally linked to specific signaling pathways. Here, we explored if gene expression signatures could be used to represent miRNA activities and integrated with genomic signatures of oncogenic pathway activity to identify connections between miRNAs and oncogenic pathways on a high-throughput, genome-wide scale. Mapping >300 gene expression signatures to >700 primary tumor profiles, we constructed a genome-wide miRNA–pathway network predicting the associations of 276 human miRNAs to 26 oncogenic pathways. The miRNA–pathway network confirmed a host of previously reported miRNA/pathway associations and uncovered several novel associations that were subsequently experimentally validated. Globally, the miRNA–pathway network demonstrates a small-world, but not scale-free, organization characterized by multiple distinct, tightly knit modules each exhibiting a high density of connections. However, unlike genetic or metabolic networks typified by only a few highly connected nodes (“hubs”), most nodes in the miRNA–pathway network are highly connected. Sequence-based computational analysis confirmed that highly-interconnected miRNAs are likely to be regulated by common pathways to target similar sets of downstream genes, suggesting a pervasive and high level of functional redundancy among coexpressed miRNAs. We conclude that gene expression signatures can be used as surrogates of miRNA activity. Our strategy facilitates the task of discovering novel miRNA–pathway connections, since gene expression data for multiple normal and disease conditions are abundantly available
Fear of falling in obese women under 50 years of age: a cross-sectional study with exploration of the relationship with physical activity
An understanding of capacity for physical activity in obese populations should help guide interventions to promote physical activity. Fear of falling is a phenomenon reported in the elderly, which is associated with reduced mobility and lower physical activity levels. However, although falls are reportedly common in obese adults, fear of falling and its relationship with activity has not been investigated in younger obese populations. In a cross-sectional study, fear of falling was measured in 63 women aged 18 to 49 years, with mean BMI 42.1 kg/m (SD 10.3) using the Modified Falls Efficacy (MFES), the Consequences of Falling (COF) and the Modified Survey of Activities and Fear of Falling in the Elderly (MSAFFE) scales. The choice of scales was informed by prior qualitative interviews with obese younger women. Physical activity levels were measured at the same time using the International Physical Activity Questionnaire. The mean score for fear of falling scales, with 95% confidence intervals, were estimated. Chi-square tests and t-tests were used to explore differences in age, body mass index and fear of falling scores between fallers and non-fallers. For each fear of falling scale, binomial logistic regression was used to explore its relationship with physical activity. Mean scores suggested high levels of fear of falling: MFES [mean 7.7 (SD 2.7); median 8.5]; COF [mean 31.3 (SD 9.4)]; MSAFFE [mean 25.9 (SD 8.7); median 23]. Scores were significantly worse in fallers ( = 42) compared to non-fallers ( = 21). MFES and MSAFFE were independently associated with lower levels of physical activity [odds ratio = 0.65, 95% Cl 0.44 to 0.96 and odds ratio = 1.14, 95% CI 1.01 to 1.28 respectively], when adjusted for age, BMI and depression. This study confirms that fear of falling is present in obese women under 50 years of age. It suggests that it is associated with low levels of physical activity. These novel findings warrant further research to understand capacity for physical and incidental activity in obese adults in both genders and suggest innovative interventions to promote lifestyle changes and/or consideration of falls prevention in this population
Down the line from genome-wide association studies in inflammatory bowel disease:the resulting clinical benefits and the outlook for the future
Inflammatory bowel disease (IBD), consisting of Crohn's disease and ulcerative colitis, is a chronic inflammatory disease of the gut. The etiology of IBD is complex, involving genetic as well as environmental factors. Genetic studies have identified 163 genetic risk loci for IBD, which have led to new insights into the biological mechanisms of the disease. The currently known IBD risk loci show an almost 75% overlap with genetic risk loci for other immune mediated diseases. Current studies are focused on the translation of the identified risk loci to clinical practice. The first steps towards this translation are being taken with the identification of genetic risk factors for drugs toxicity, specific disease course and response to therapy. In this review we will discuss how the IBD genetic risk loci were identified and how this knowledge can be translated towards clinical practice
Validation and utilization of an internally controlled multiplex Real-time RT-PCR assay for simultaneous detection of enteroviruses and enterovirus A71 associated with hand foot and mouth disease
Momentum sequence and environmental climate influence levels of perceived psychological momentum within a sport competition
International audienceThe present study examined the influence of momentum sequence (positive vs. negative) and environmental climate (hot-wet vs. neutral) on supporters' (i.e. virtual observers') reported levels of perceived psychological momentum (PM) during a simulated cycling competition. Participants supported one of two competing cyclists involved in a race that was displayed on a screen in a lecture hall. The race scenario was manipulated so that the supported cyclist appeared to undergo either a positive or negative momentum sequence. In addition, participants were either exposed to a hot-wet environmental climate or to a neutral environmental climate while observing the race scenario. According to the results, reported levels of PM were higher in the positive momentum sequence condition than in the negative momentum sequence condition, consistent with the notion that supporters' PM is influenced by a positivity bias, and reported levels of PM were also found to be higher in the hot-wet climate condition than in the neutral climate condition, consistent with the notion that environmental climate is a contextual factor that influences PM through the operation of a causal augmenting mechanism
Evolutionarily successful Asian 1 Dengue virus 2 lineages contain one substitution in envelope that increases sensitivity to polyclonal antibody neutralization
The 4 dengue virus serotypes (DENV-1-4) cause the most prevalent mosquito-borne viral disease of humans worldwide. DENV-2 Asian 1 (A1) genotype viruses replaced the Asian-American (AA) genotype in Vietnam and Cambodia, after which A1 viruses containing Q or M at envelope (E) residue 160 became more prevalent than those with residue 160K in both countries (2008-2011). We investigated whether these substitutions conferred a fitness advantage by measuring neutralizing antibody titer against reporter virus particles (RVPs) representing AA, A1-160K, A1-160Q, and A1-160M, using patient sera from Vietnam and a well-characterized Nicaraguan cohort. Surprisingly, we found that A1-160Q and A1-160M RVPs were better neutralized by heterologous antisera than A1-160K. Despite this, Vietnamese patients infected with A1-160Q or A1-160M viruses had higher viremia levels than those infected with A1-160K. We thus found that independent lineages in Vietnam and Cambodia acquired a substitution in E that significantly increased polyclonal neutralization but nonetheless were successful in disseminating and infecting human hosts
Tracking Dengue virus intra-host genetic diversity during human-to-mosquito transmission.
Dengue virus (DENV) infection of an individual human or mosquito host produces a dynamic population of closely-related sequences. This intra-host genetic diversity is thought to offer an advantage for arboviruses to adapt as they cycle between two very different host species, but it remains poorly characterized. To track changes in viral intra-host genetic diversity during horizontal transmission, we infected Aedes aegypti mosquitoes by allowing them to feed on DENV2-infected patients. We then performed whole-genome deep-sequencing of human- and matched mosquito-derived DENV samples on the Illumina platform and used a sensitive variant-caller to detect single nucleotide variants (SNVs) within each sample. >90% of SNVs were lost upon transition from human to mosquito, as well as from mosquito abdomen to salivary glands. Levels of viral diversity were maintained, however, by the regeneration of new SNVs at each stage of transmission. We further show that SNVs maintained across transmission stages were transmitted as a unit of two at maximum, suggesting the presence of numerous variant genomes carrying only one or two SNVs each. We also present evidence for differences in selection pressures between human and mosquito hosts, particularly on the structural and NS1 genes. This analysis provides insights into how population drops during transmission shape RNA virus genetic diversity, has direct implications for virus evolution, and illustrates the value of high-coverage, whole-genome next-generation sequencing for understanding viral intra-host genetic diversity.</p
Combination of inflammatory and vascular markers in the febrile phase of dengue is associated with more severe outcomes
Background: Early identification of severe dengue patients is important regarding patient management and resource allocation. We investigated the association of ten biomarkers (VCAM-1, SDC-1, Ang-2, IL-8, IP-10, IL-1RA, sCD163, sTREM-1, ferritin, CRP) with the development of severe/moderate dengue (S/MD).
Methods: We performed a nested case-control study from a multi-country study. A total of 281 S/MD and 556 uncomplicated dengue cases were included.
Results: On days 1-3 from symptom onset, higher levels of any biomarker increased the risk of developing S/MD. When assessing together, SDC-1 and IL-1RA were stable, while IP-10 changed the association from positive to negative; others showed weaker associations. The best combinations associated with S/MD comprised IL-1RA, Ang-2, IL-8, ferritin, IP-10, and SDC-1 for children, and SDC-1, IL-8, ferritin, sTREM-1, IL-1RA, IP-10, and sCD163 for adults.
Conclusions: Our findings assist the development of biomarker panels for clinical use and could improve triage and risk prediction in dengue patients