93 research outputs found

    Keepseagle Settlement Payment and Your Form 1099 Information Returns

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    Receiving either the Track A or Track B settlement payment was the first step in finalizing your Keepseagle settlement. All settlement recipients will need to file a federal income tax return and report this settlement as income regardless of their current income level, land status, current employment status and even if they have not filed a Federal income tax return before. Each settlement recipient will be receiving a Form 1099 MISC and/or a Form 1099-C around mid- January. Recipients must file a tax return to comply with IRS regulations. Many recipients may qualify for a tax refund and will not be able to get it unless they file a return. This article is intended to cover the most common actions each Keepseagle award recipient will need to take once the Form 1099 has been received. Individual’s circumstances will vary and your situations may have complicating factors, such as estate or where additional debt forgiveness occurred. This information is intended for educational purposes only. Seek the advice of your tax professional regarding the application of these general principles to your individual circumstances.https://digitalcommons.usu.edu/rural_tax/1017/thumbnail.jp

    Inflammation-induced hepcidin-25 is associated with the development of anemia in septic patients: an observational study

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    Contains fulltext : 98009.pdf (publisher's version ) (Open Access)INTRODUCTION: Anemia is a frequently encountered problem during inflammation. Hepcidin is an interleukin-6 (IL-6)-induced key modulator of inflammation-associated anemia. Human sepsis is a prototypical inflammatory syndrome, often complicated by the development of anemia. However, the association between inflammation, hepcidin release and anemia has not been demonstrated in this group of patients. Therefore, we explored the association between hepcidin and sepsis-associated anemia. METHODS: 92 consecutive patients were enrolled after presentation on the emergency ward of a university hospital with sepsis, indicated by the presence of a proven or suspected infection and >/= 2 extended systemic inflammatory response syndrome (SIRS) criteria. Blood was drawn at day 1, 2 and 3 after admission for the measurement of IL-6 and hepcidin-25. IL-6 levels were correlated with hepcidin concentrations. Hemoglobin levels and data of blood transfusions during 14 days after hospitalisation were retrieved and the rate of hemoglobin decrease was correlated to hepcidin levels. RESULTS: 53 men and 39 women with a mean age of 53.3 +/- 1.8 yrs were included. Hepcidin levels were highest at admission (median[IQR]): 17.9[10.1 to 28.4]nmol/l and decreased to normal levels in most patients within 3 days (9.5[3.4 to 17.9]nmol/l). Hepcidin levels increased with the number of extended SIRS criteria (P = 0.0005). Highest IL-6 levels were measured at admission (125.0[46.3 to 330.0]pg/ml) and log-transformed IL-6 levels significantly correlated with hepcidin levels at admission (r = 0.28, P = 0.015), day 2 (r = 0.51, P < 0.0001) and day 3 (r = 0.46, P < 0.0001). Twelve patients received one or more blood transfusions during the first 2 weeks of admission, not related to active bleeding. These patients had borderline significant higher hepcidin level at admission compared to non-transfused patients (26.9[17.2 to 53.9] vs 17.9[9.9 to 28.8]nmol/l, P = 0.052). IL-6 concentrations did not differ between both groups. Correlation analyses showed significant associations between hepcidin levels on day 2 and 3 and the rate of decrease in hemoglobin (Spearman's r ranging from -0.32, P = 0.03 to -0.37, P = 0.016, respectively). CONCLUSIONS: These data suggest that hepcidin-25 may be an important modulator of anemia in septic patients with systemic inflammation

    Methods for specifying the target difference in a randomised controlled trial : the Difference ELicitation in TriAls (DELTA) systematic review

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    Microbial Diversity in the Midguts of Field and Lab-Reared Populations of the European Corn Borer Ostrinia nubilalis

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    Background: Insects are associated with microorganisms that contribute to the digestion and processing of nutrients. The European Corn Borer (ECB) is a moth present world-wide, causing severe economical damage as a pest on corn and other crops. In the present work, we give a detailed view of the complexity of the microorganisms forming the ECB midgut microbiota with the objective of comparing the biodiversity of the midgut-associated microbiota and explore their potential as a source of genes and enzymes with biotechnological applications. Methodological/Principal Findings: A high-throughput sequencing approach has been used to identify bacterial species, genes and metabolic pathways, particularly those involved in plant-matter degradation, in two different ECB populations (field-collected vs. lab-reared population with artificial diet). Analysis of the resulting sequences revealed the massive presence of Staphylococcus warneri and Weissella paramesenteroides in the lab-reared sample. This enabled us to reconstruct both genomes almost completely. Despite the apparently low diversity, 208 different genera were detected in the sample, although most of them at very low frequency. By contrast, the natural population exhibited an even higher taxonomic diversity along with a wider array of cellulolytic enzyme families. However, in spite of the differences in relative abundance of major taxonomic groups, not only did both metagenomes share a similar functional profile but also a similar distribution of non-redundant genes in different functional categories. Conclusions/Significance: Our results reveal a highly diverse pool of bacterial species in both O. nubilalis populations, with major differences: The lab-reared sample is rich in gram-positive species (two of which have almost fully sequenced genomes) while the field sample harbors mainly gram-negative species and has a larger set of cellulolytic enzymes. We have found a clear relationship between the diet and the midgut microbiota, which reveals the selection pressure of food on the community of intestinal bacteria. © 2011 Belda et al.The research was funded by the Spanish Ministerio de Ciencia e Innovacion, under grant agreement CIT-010000-2008-5 and by a MICINN (Ministerio de Ciencia e Innovacion) TIN2009-12359 ArtBioCom project. Arnau Montagud acknowledges Generalitat Valenciana grant BFPI/2007/283. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.Belda Cuesta, EA.; Pedrola, L.; Peretó Magraner, J.; Martinez Blanch, JF.; Montagud Aquino, A.; Navarro-Peris, E.; Urchueguía Schölzel, JF.... (2011). Microbial Diversity in the Midguts of Field and Lab-Reared Populations of the European Corn Borer Ostrinia nubilalis. PLoS ONE. 6(6):21751-21751. https://doi.org/10.1371/journal.pone.0021751S21751217516

    Impact of nine common type 2 diabetes risk polymorphisms in Asian Indian Sikhs: PPARG2 (Pro12Ala), IGF2BP2, TCF7L2 and FTO variants confer a significant risk

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    <p>Abstract</p> <p>Background</p> <p>Recent genome-wide association (GWA) studies have identified several unsuspected genes associated with type 2 diabetes (T2D) with previously unknown functions. In this investigation, we have examined the role of 9 most significant SNPs reported in GWA studies: [peroxisome proliferator-activated receptor gamma 2 (<it>PPARG2</it>; rs 1801282); insulin-like growth factor two binding protein 2 (<it>IGF2BP2</it>; rs 4402960); cyclin-dependent kinase 5, a regulatory subunit-associated protein1-like 1 (<it>CDK5</it>; rs7754840); a zinc transporter and member of solute carrier family 30 (<it>SLC30A8</it>; rs13266634); a variant found near cyclin-dependent kinase inhibitor 2A (<it>CDKN2A</it>; rs10811661); hematopoietically expressed homeobox (<it>HHEX</it>; rs 1111875); transcription factor-7-like 2 (<it>TCF7L2</it>; rs 10885409); potassium inwardly rectifying channel subfamily J member 11(<it>KCNJ11</it>; rs 5219); and fat mass obesity-associated gene (<it>FTO</it>; rs 9939609)].</p> <p>Methods</p> <p>We genotyped these SNPs in a case-control sample of 918 individuals consisting of 532 T2D cases and 386 normal glucose tolerant (NGT) subjects of an Asian Sikh community from North India. We tested the association between T2D and each SNP using unconditional logistic regression before and after adjusting for age, gender, and other covariates. We also examined the impact of these variants on body mass index (BMI), waist to hip ratio (WHR), fasting insulin, and glucose and lipid levels using multiple linear regression analysis.</p> <p>Results</p> <p>Four of the nine SNPs revealed a significant association with T2D; <it>PPARG2 </it>(Pro12Ala) [odds ratio (OR) 0.12; 95% confidence interval (CI) (0.03–0.52); p = 0.005], <it>IGF2BP2 </it>[OR 1.37; 95% CI (1.04–1.82); p = 0.027], <it>TCF7L2 </it>[OR 1.64; 95% CI (1.20–2.24); p = 0.001] and <it>FTO </it>[OR 1.46; 95% CI (1.11–1.93); p = 0.007] after adjusting for age, sex and BMI. Multiple linear regression analysis revealed significant association of two of nine investigated loci with diabetes-related quantitative traits. The 'C' (risk) allele of <it>CDK5 </it>(rs 7754840) was significantly associated with decreased HDL-cholesterol levels in both NGT (p = 0.005) and combined (NGT and T2D) (0.005) groups. The less common 'C' (risk) allele of <it>TCF7L2 </it>(rs 10885409) was associated with increased LDL-cholesterol (p = 0.010) in NGT and total and LDL-cholesterol levels (p = 0.008; p = 0.003, respectively) in combined cohort.</p> <p>Conclusion</p> <p>To our knowledge, this is first study reporting the role of some recently emerged loci with T2D in a high risk population of Asian Indian origin. Further investigations are warranted to understand the pathway-based functional implications of these important loci in T2D pathophysiology in different ethnicities.</p

    Dentifrices, mouthwashes, and remineralization/caries arrestment strategies

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    While our knowledge of the dental caries process and its prevention has greatly advanced over the past fifty years, it is fair to state that the management of this disease at the level of the individual patient remains largely empirical. Recommendations for fluoride use by patients at different levels of caries risk are mainly based on the adage that more is better. There is a general understanding that the fluoride compound, concentration, frequency of use, duration of exposure, and method of delivery can influence fluoride efficacy. Two important factors are (1) the initial interaction of relatively high concentrations of fluoride with the tooth surface and plaque during application and (2) the retention of fluoride in oral fluids after application
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