A922 Sequential measurement of 1 hour creatinine clearance (1-CRCL) in critically ill patients at risk of acute kidney injury (AKI)

Meeting abstrac

1XV3 : NMR structure of the synthetic penaeidin 4

Experimental Technique/Method:SOLUTION NMR Resolution: Classification:ANTIBIOTIC Release Date:2005-02-15 Deposition Date:2004-10-27 Revision Date:2008-04-30#2011-07-13 Molecular Weight:5313.24 Macromolecule Type:Protein Residue Count:47 Atom Site Count:368 DOI:10.2210/pdb1xv3/pdb Abstract: Antimicrobial peptide structure has direct implications for the complexity of functions and mechanisms of action. The penaeidin antimicrobial peptide family from shrimp is divided into multiple class designations based on primary structure. The penaeidin classes are not only characterized by variability in primary sequence but also by variation in target specificity and effectiveness. Whereas class 4 exhibits low isoform diversity within species and is highly conserved between species, the primary sequence of penaeidin class 3 is less conserved between species and exhibits considerable isoform diversity within species. All penaeidins, regardless of class or species, are composed of two dramatically different domains: an unconstrained proline-rich domain and a disulfide bond-stabilized cysteine-rich domain. The proline-rich domain varies in length and is generally less conserved, whereas the spacing and specific residue content of the cysteine-rich domain is more conserved. The structure of the synthetic penaeidin class 4 (PEN4-1) from Litopenaeus setiferus was analyzed using several approaches, including chemical mapping of disulfide bonds, circular dichroism analysis of secondary structural characteristics, and complete characterization of the solution structure of the peptide by proton NMR. L. setiferus PEN4-1 was then compared with the previously characterized structure of penaeidin class 3 from Litopenaeus vannamei. Moreover, the specificity of these antimicrobial peptides was examined through direct comparison of activity against a panel of microbes. The penaeidin classes differ in microbial target specificity, which correlates to variability in specific domain sequence. However, the tertiary structure of the cysteine-rich domain and indeed the overall structure of penaeidins are conserved across classes

Comparisons of Metabolic Measures to Predict T1D vs Detect a Preventive Treatment Effect in High-Risk Individuals

Context: Metabolic measures are frequently used to predict type 1 diabetes (T1D) and to understand effects of disease-modifying therapies. Objective: Compare metabolic endpoints for their ability to detect preventive treatment effects and predict T1D. Methods: Six-month changes in metabolic endpoints were assessed for (1) detecting treatment effects by comparing placebo and treatment arms from the randomized controlled teplizumab prevention trial, a multicenter clinical trial investigating 14-day intravenous teplizumab infusion and (2) predicting T1D in the TrialNet Pathway to Prevention natural history study. For each metabolic measure, t-Values from t tests for detecting a treatment effect were compared with chi-square values from proportional hazards regression for predicting T1D. Participants in the teplizumab prevention trial and participants in the Pathway to Prevention study selected with the same inclusion criteria used for the teplizumab trial were studied. Results: Six-month changes in glucose-based endpoints predicted diabetes better than C-peptide-based endpoints, yet the latter were better at detecting a teplizumab effect. Combined measures of glucose and C-peptide were more balanced than measures of glucose alone or C-peptide alone for predicting diabetes and detecting a teplizumab effect. Conclusion: The capacity of a metabolic endpoint to detect a treatment effect does not necessarily correspond to its accuracy for predicting T1D. However, combined glucose and C-peptide endpoints appear to be effective for both predicting diabetes and detecting a response to immunotherapy. These findings suggest that combined glucose and C-peptide endpoints should be incorporated into the design of future T1D prevention trials

A blackberry (Rubus L.) expressed sequence tag library for the development of simple sequence repeat markers

BACKGROUND: The recent development of novel repeat-fruiting types of blackberry (Rubus L.) cultivars, combined with a long history of morphological marker-assisted selection for thornlessness by blackberry breeders, has given rise to increased interest in using molecular markers to facilitate blackberry breeding. Yet no genetic maps, molecular markers, or even sequences exist specifically for cultivated blackberry. The purpose of this study is to begin development of these tools by generating and annotating the first blackberry expressed sequence tag (EST) library, designing primers from the ESTs to amplify regions containing simple sequence repeats (SSR), and testing the usefulness of a subset of the EST-SSRs with two blackberry cultivars. RESULTS: A cDNA library of 18,432 clones was generated from expanding leaf tissue of the cultivar Merton Thornless, a progenitor of many thornless commercial cultivars. Among the most abundantly expressed of the 3,000 genes annotated were those involved with energy, cell structure, and defense. From individual sequences containing SSRs, 673 primer pairs were designed. Of a randomly chosen set of 33 primer pairs tested with two blackberry cultivars, 10 detected an average of 1.9 polymorphic PCR products. CONCLUSION: This rate predicts that this library may yield as many as 940 SSR primer pairs detecting 1,786 polymorphisms. This may be sufficient to generate a genetic map that can be used to associate molecular markers with phenotypic traits, making possible molecular marker-assisted breeding to compliment existing morphological marker-assisted breeding in blackberry