689 research outputs found

    A systems approach to mapping transcriptional networks controlling surfactant homeostasis

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    <p>Abstract</p> <p>Background</p> <p>Pulmonary surfactant is required for lung function at birth and throughout life. Lung lipid and surfactant homeostasis requires regulation among multi-tiered processes, coordinating the synthesis of surfactant proteins and lipids, their assembly, trafficking, and storage in type II cells of the lung. The mechanisms regulating these interrelated processes are largely unknown.</p> <p>Results</p> <p>We integrated mRNA microarray data with array independent knowledge using Gene Ontology (GO) similarity analysis, promoter motif searching, protein interaction and literature mining to elucidate genetic networks regulating lipid related biological processes in lung. A Transcription factor (TF) - target gene (TG) similarity matrix was generated by integrating data from different analytic methods. A scoring function was built to rank the likely TF-TG pairs. Using this strategy, we identified and verified critical components of a transcriptional network directing lipogenesis, lipid trafficking and surfactant homeostasis in the mouse lung.</p> <p>Conclusions</p> <p>Within the transcriptional network, SREBP, CEBPA, FOXA2, ETSF, GATA6 and IRF1 were identified as regulatory hubs displaying high connectivity. SREBP, FOXA2 and CEBPA together form a common core regulatory module that controls surfactant lipid homeostasis. The core module cooperates with other factors to regulate lipid metabolism and transport, cell growth and development, cell death and cell mediated immune response. Coordinated interactions of the TFs influence surfactant homeostasis and regulate lung function at birth.</p

    Transcript Profiling of Elf5+/βˆ’ Mammary Glands during Pregnancy Identifies Novel Targets of Elf5

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    Background: Elf5, an epithelial specific Ets transcription factor, plays a crucial role in the pregnancy-associated development of the mouse mammary gland. Elf5 2/2 embryos do not survive, however the Elf5 +/2 mammary gland displays a severe pregnancy-associated developmental defect. While it is known that Elf5 is crucial for correct mammary development and lactation, the molecular mechanisms employed by Elf5 to exert its effects on the mammary gland are largely unknown. Principal Findings: Transcript profiling was used to investigate the transcriptional changes that occur as a result of Elf5 haploinsufficiency in the Elf5 +/2 mouse model. We show that the development of the mouse Elf5 +/2 mammary gland is delayed at a transcriptional and morphological level, due to the delayed increase in Elf5 protein in these glands. We also identify a number of potential Elf5 target genes, including Mucin 4, whose expression, is directly regulated by the binding of Elf5 to an Ets binding site within its promoter. Conclusion: We identify novel transcriptional targets of Elf5 and show that Muc4 is a direct target of Elf5, further elucidatin

    Surficial geologic materials of the Cedar Rapids South Quadrangle

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    https://ir.uiowa.edu/igs_ofm/1005/thumbnail.jp

    The influence of obesity on calf blood flow and vascular reactivity in older adults

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    OBJECTIVE: To determine whether differences in vascular reactivity existed among normal weight, overweight, and obese older men and women, and to examine the association between abdominal fat distribution and vascular reactivity. METHODS: Eighty-seven individuals who were 60 years of age or older (age = 69 Β± 7 yrs; mean Β± SD) were grouped into normal weight (BMI < 25; n = 30), overweight (BMI β‰₯ 25 and < 30; n = 28), or obese (BMI β‰₯ 30; n = 29) categories. Calf blood flow (BF) was assessed by venous occlusion strain-gauge plethysmography at rest and post-occlusive reactive hyperemia. RESULTS: Post-occlusive reactive hyperemia BF was lower (p = 0.038) in the obese group (5.55 Β± 4.67 %/min) than in the normal weight group (8.34 Β± 3.89 %/min). Additionally, change in BF from rest to post-occlusion in the obese group (1.93 Β± 2.58 %/min) was lower (p = 0.001) than in the normal weight group (5.21 Β± 3.59 %/min), as well as the percentage change (75 Β± 98 % vs. 202 Β± 190 %, p = 0.006, respectively). After adjusting for age, prevalence in hypertension and calf skinfold thickness, change in BF values remained lower (p < 0.05) in obese subjects compared to the normal weight subjects. Lastly, the absolute and percentage change in BF were significantly related to BMI (r = -0.44, p < 0.001, and r = -0.37, p < 0.001, respectively) and to waist circumference (r = -0.36, p = 0.001, and r = -0.32, p = 0.002). CONCLUSION: Obesity and abdominal adiposity impair vascular reactivity in older men and women, and these deleterious effects on vascular reactivity are independent of conventional risk factors

    The Relationship Between Arterial Elasticity and Metabolic Syndrome Features

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    The purpose of this study was to examine the effects of metabolic syndrome (MS) features on arterial elasticity of the large and small arteries in apparently healthy adults, to examine the effect of clustered features of MS, and to determine which features are most predictive of large and small artery elasticity. The subjects for this study consisted of 126 men and women, age 45 years and older. The subjects rested supine while pulse contour analysis was measured from the radial artery by using an HDI/Pulsewave CR-2000 instrument (Hypertension Diagnostic, Inc) to assess arterial elasticity in the large and small arteries. Medical history was obtained along with body mass index, waist circumference, body surface area, and blood pressure. Large artery elasticity was lower (p=0.002) in subjects with hypertension (12.7 βˆ“4.3 mL/mm Hg Γ— 10) than in those with normotension (15.0 βˆ“4.2 mL/mm Hg Γ— 10; mean βˆ“ SD), and small artery elasticity was lower (p=0.001) as well (3.9 βˆ“2.3 mL/mm Hg Γ— 100 vs 5.3 βˆ“2.5 mL/mm Hg Γ— 100). Large artery elasticity was lower (p=0.02) in obese subjects (12.2 βˆ“4.9 mL/mm Hg Γ— 10) than in nonobese subjects (14.2 βˆ“4.5 mL/mm Hg Γ— 10), and large artery elasticity was lower (p=0.04) in subjects with abdominal obesity (12.2 βˆ“4.5 mL/mm Hg Γ— 10) than in those without (14.5 βˆ“4.8 mL/mm Hg Γ— 10). Large artery elasticity decreased as the number of features of MS increased (p<0.01). Multiple regression showed that body mass index and the presence of hypertension were predictors of large artery elasticity (R =0.61, R 2 =0.37, p=0.003, SEE = 3.60 mL/mm Hg Γ— 10), and hypertension was a predictor of small artery elasticity (R =0.53, R 2 =0.28, p=0.001, SEE = 2.12 mL/mm Hg Γ— 100). Hypertension and obesity are the features of MS that are most predictive of impairment in large and small artery elasticity in apparently healthy middle-aged and older adults. Furthermore, impairment in large artery elasticity is more evident in subjects with at least three features of MS.Yeshttps://us.sagepub.com/en-us/nam/manuscript-submission-guideline

    Surficial geologic materials of the Central City Quadrangle

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    https://ir.uiowa.edu/igs_ofm/1006/thumbnail.jp

    Extracellular microRNAs in blood differentiate between ischaemic and haemorrhagic stroke subtypes.

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    Rapid identification of patients suffering from cerebral ischaemia, while excluding intracerebral haemorrhage, can assist with patient triage and expand patient access to chemical and mechanical revascularization. We sought to identify blood-based, extracellular microRNAs 15 (ex-miRNAs) derived from extracellular vesicles associated with major stroke subtypes using clinical samples from subjects with spontaneous intraparenchymal haemorrhage (IPH), aneurysmal subarachnoid haemorrhage (SAH) and ischaemic stroke due to cerebral vessel occlusion. We collected blood from patients presenting with IPH (n = 19), SAH (n = 17) and ischaemic stroke (n = 21). We isolated extracellular vesicles from plasma, extracted RNA cargo, 20 sequenced the small RNAs and performed bioinformatic analyses to identify ex-miRNA biomarkers predictive of the stroke subtypes. Sixty-seven miRNAs were significantly variant across the stroke subtypes. A subset of exmiRNAs differed between haemorrhagic and ischaemic strokes, and LASSO analysis could distinguish SAH from the other subtypes with an accuracy of 0.972 Β± 0.002. Further analyses predicted 25 miRNA classifiers that stratify IPH from ischaemic stroke with an accuracy of 0.811 Β± 0.004 and distinguish haemorrhagic from ischaemic stroke with an accuracy of 0.813 Β± 0.003. Blood-based, ex-miRNAs have predictive value, and could be capable of distinguishing between major stroke subtypes with refinement and validation. Such a biomarker could one day aid in the triage of patients to expand the pool eligible for effective treatment
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