Adherence to Dietary and Physical Activity Guidelines Among Shift Workers: Associations with Individual and Work-Related Factors

Objectives Shift work is associated with adverse effects on the health and lifestyle behaviours of employees. This study aimed to examine factors associated with adherence among shift workers to selected indicators of dietary and physical activity guidelines. Methods A cross-sectional study was conducted on 1300 shift workers. Data were collected using a 15 minute telephone-administered questionnaire. Logistic regression methods were used for data analysis. Results Male shift workers (

Chronology of Islet Differentiation Revealed By Temporal Cell Labeling

ObjectiveNeurogenin 3 plays a pivotal role in pancreatic endocrine differentiation. Whereas mouse models expressing reporters such as eGFP or LacZ under the control of the Neurog3 gene enable us to label cells in the pancreatic endocrine lineage, the long half-life of most reporter proteins makes it difficult to distinguish cells actively expressing neurogenin 3 from differentiated cells that have stopped transcribing the gene.Research design and methodsIn order to separate the transient neurogenin 3 -expressing endocrine progenitor cells from the differentiating endocrine cells, we developed a mouse model (Ngn3-Timer) in which DsRed-E5, a fluorescent protein that shifts its emission spectrum from green to red over time, was expressed transgenically from the NEUROG3 locus.ResultsIn the Ngn3-Timer embryos, green-dominant cells could be readily detected by microscopy or flow cytometry and distinguished from green/red double-positive cells. When fluorescent cells were sorted into three different populations by a fluorescence-activated cell sorter, placed in culture, and then reanalyzed by flow cytometry, green-dominant cells converted to green/red double-positive cells within 6 h. The sorted cell populations were then used to determine the temporal patterns of expression for 145 transcriptional regulators in the developing pancreas.ConclusionsThe precise temporal resolution of this model defines the narrow window of neurogenin 3 expression in islet progenitor cells and permits sequential analyses of sorted cells as well as the testing of gene regulatory models for the differentiation of pancreatic islet cells

DLEC1 and MLH1 promoter methylation are associated with poor prognosis in non-small cell lung carcinoma

The significance of chromosome 3p gene alterations in lung cancer is poorly understood. This study set out to investigate promoter methylation in the deleted in lung and oesophageal cancer 1 (DLEC1), MLH1 and other 3p genes in 239 non-small cell lung carcinomas (NSCLC). DLEC1 was methylated in 38.7%, MLH1 in 35.7%, RARβ in 51.7%, RASSF1A in 32.4% and BLU in 35.3% of tumours. Any two of the gene alterations were associated with each other except RARβ. DLEC1 methylation was an independent marker of poor survival in the whole cohort (P=0.025) and in squamous cell carcinoma (P=0.041). MLH1 methylation was also prognostic, particularly in large cell cancer (P=0.006). Concordant methylation of DLEC1/MLH1 was the strongest independent indicator of poor prognosis in the whole cohort (P=0.009). However, microsatellite instability and loss of MLH1 expression was rare, suggesting that MLH1 promoter methylation does not usually lead to gene silencing in lung cancer. This is the first study describing the prognostic value of DLEC1 and MLH1 methylation in NSCLC. The concordant methylation is possibly a consequence of a long-range epigenetic effect in this region of chromosome 3p, which has recently been described in other cancers

A Rare Disease Patient Manager

ABSTRACT publicado: 6th International Conference on Practical Applications of Computational Biology & Bioinformatics (PACBB. Salamanca, 28-30 Março 2012The personal health implications behind rare diseases are seldom considered in widespread medical care. The low incidence rate and complex treatment process makes rare disease research an underrated field in the life sciences. However, it is in these particular conditions that the strongest relations between genotypes and phenotypes are identified. The rare disease patient manager, detailed in this manuscript, presents an innovative perspective for a patient-centric portal integrating genetic and medical data. With this strategy, patient’s digital records are transparently integrated and connected to wet-lab genetics research in a seamless working environment. The resulting knowledge base offers multiple data views, geared towards medical staff, with patient treatment and monitoring data; genetics researchers, through a custom locus-specific database; and patients, who for once play an active role in their treatment and rare diseases research

The Grizzly, September 12, 1986

Patterns Passes Midpoint • Future of Dorms Fuzzy • Rutgers Rough For Lady Bears • Bomberger Organizes Itself • Pottstown Reich Cracks Down on Cruising • Ursinus\u27 Colors: A Long Tradition • Letter: Maples: The Place Just Ain\u27t the Same • Clean up Cans • The Private Eye • Infirmary Info • AXE: Fraternity With a Difference • Bodolus Bounces Back • Men\u27s and Women\u27s X-Country Off and Running • U.C. Does Dorneyhttps://digitalcommons.ursinus.edu/grizzlynews/1167/thumbnail.jp

The Grizzly, September 12, 1986

Patterns Passes Midpoint • Future of Dorms Fuzzy • Rutgers Rough For Lady Bears • Bomberger Organizes Itself • Pottstown Reich Cracks Down on Cruising • Ursinus\u27 Colors: A Long Tradition • Letter: Maples: The Place Just Ain\u27t the Same • Clean up Cans • The Private Eye • Infirmary Info • AXE: Fraternity With a Difference • Bodolus Bounces Back • Men\u27s and Women\u27s X-Country Off and Running • U.C. Does Dorneyhttps://digitalcommons.ursinus.edu/grizzlynews/1167/thumbnail.jp