Effects of age on brachial artery myogenic responses in humans

The myogenic response, the inherent ability of blood vessels to rapidly respond to changes in transmural pressure, is involved in local blood flow autoregulation. Animal studies suggest that aging impairs the myogenic response. The purpose of this study was to compare the effects of changes in transmural pressure on mean blood velocity (MBV, cm/s) in young and older subjects. Twelve younger men and women (25 +/- 1 yr) were gender and body composition matched to twelve older men and women (65 +/- 1 yr). A specially designed tank raised or lowered forearm pressure by 50 mmHg within 0.2 s. Brachial artery MBV was measured directly above the site of forearm pressure change using Doppler methods. In response to increasing transmural pressure (i.e., release of +50 mmHg), older subjects compared with younger subjects had significantly lower peak MBV (Delta 12.43 +/- 1.16 vs. Delta 17.97 +/- 2.01 cm/s; P < 0.05), reduced rates in the dynamic fall of MBV after peak values were achieved (vasoconstriction) (-1.88 +/- 0.17 vs. -2.90 +/- 0.28 cm.s(-1).s(-1); P < 0.05), and lower MBV values with sustained suction. In response to decreasing transmural pressure (i.e., change to +50 mmHg), there was a significantly greater increase in MBV (Delta peak flow from trough 7.71 +/- 1.32 vs. 4.38 +/- 0.71 cm/s; P < 0.05) and a trend toward a greater rate of rise in MBV (vasodilation; 1.61 +/- 0.29 vs. 0.96 +/- 0.21 cm.s(-1).s(-1); P = 0.08) in the older subjects. Older subjects compared with the younger subjects exhibited decreased dynamic vasoconstriction, enhanced steady-state constriction, as well as evidence for enhanced dynamic vasodilation responses to sustained alterations in forearm transmural pressure.     

Characteristics of elite open-water swimmers

Open-water swimming (5, 10, and 25 km) has many unique challenges that separate it from other endurance sports, like marathon running and cycling. The characteristics of a successful open-water swimmer are unclear. The purpose of this study was to determine the physical and metabolic characteristics of a group of elite-level open-water swimmers. The open-water swimmers were participating in a 1-week training camp. Anthropometric, metabolic, and blood chemistry assessments were performed on the athletes. The swimmers had a VO(2)peak of 5.51 +/- 0.96 and 5.06 +/- 0.57 ml.kg(-1).min(-1) for males and females, respectively. Their lactate threshold (LT) occurred at a pace equal to 88.75% of peak pace for males and 93.75% for females. These elite open-water swimmers were smaller and lighter than competitive pool swimmers. They possess aerobic metabolic alterations that resulted in enhanced performance in distance swimming. Trainers and coaches should develop dry-land programs that will improve the athlete's muscular endurance. Furthermore, programs should be designed to increase the LT velocity as a percentage of peak swimming velocity.     

Comparison of microsatellite and single nucleotide polymorphism markers for the genetic analysis of a Galloway cattle population

Highly informative genetic markers are essential for efficient management of cattle populations, as well as for food safety. After a decade of domination by microsatellite markers, a new type of genetic marker, single nucleotide polymorphism (SNP), has recently appeared on the scene. In the present study, the exclusion power of both kinds of markers with regards to individual identification and parental analysis was directly compared in a Galloway cattle population. Seventeen bovine microsatellites were distributed in three incremental marker sets (10, 14 and 17 microsatellite markers) and used for cattle genotyping. A set of 43 bovine SNP was used for genotyping the same cattle population. The accuracy of both kinds of markers in individual identification was evaluated using probability of identity estimations. These were 2.4 x 10(-8) for the 10 microsatellite set, 2.3 x 10(-11) for the 14 microsatellite set, and 1.4 x 10(-13) for the 17 microsatellite marker set. For the 43 SNP markers, the estimated probability of identity was 5.3 x 10(-11). The exclusion power of both kinds of markers in parental analysis was evaluated using paternity exclusion estimations, and, in addition to this, by estimation of the parental exclusion probability in 18 Galloway family trios. Paternity exclusion was estimated to be over 99% for microsatellites, and approx. 98% for SNP. Both, microsatellite and SNP sets of markers showed similar parental exclusion probabilities.     

Rapid and sensitive identification of major histocompatibility complex class I-associated tumor peptides by Nano-LC MALDI MS/MS

Identification of major histocompatibility complex (MHC)-associated peptides recognized by T-lymphocytes is a crucial prerequisite for the detection and manipulation of specific immune responses in cancer, viral infections, and autoimmune diseases. Unfortunately immunogenic peptides are less abundant species present in highly complex mixtures of MHC-extracted material. Most peptide identification strategies use microcapillary LC coupled to nano-ESI MS/MS in a challenging on-line approach. Alternatively MALDI PSD analysis has been applied for this purpose. We report here on the first off-line combination of nanoscale (nano) LC and MALDI TOF/TOF MS/MS for the identification of naturally processed MHC peptide ligands. These peptides were acid-eluted from human leukocyte antigen (HLA)-A2, HLA-A3, and HLA-B/-C complexes separately isolated from a renal cell carcinoma cell lysate using HLA allele-specific antibodies. After reversed-phase HPLC, peptides were further fractionated via nano-LC. This additional separation step provided a substantial increase in the number of detectable candidate species within the complex peptide pools. MALDI MS/MS analysis on nano-LC-separated material was then sufficiently sensitive to rapidly identify more than 30 novel HLA-presented peptide ligands. Peptide sequences contained perfect anchor amino acid residues described previously for HLA-A2, HLA-A3, and HLA-B7. The most promising candidate for a T-cell epitope is an HLA-B7-binding nonamer peptide derived from the tumor-associated gene NY-BR-16. To demonstrate the sensitivity of our approach we characterized peptides binding to HLA-C molecules that are usually expressed at the cell surface at approximately only 10% the levels of HLA-A or HLA-B. In fact, multiple renal cell carcinoma peptides were identified that contained anchor amino acid residues of HLA-Cw5 and HLA-Cw7. We conclude that the nano-LC MALDI MS/MS approach is a sensitive tool for the rapid and automated identification of MHC-associated tumor peptides.     

Loss of annexin A7 leads to alterations in frequency-induced shortening of isolated murine cardiomyocytes

Annexin A7 has been proposed to function in the fusion of vesicles, acting as a Ca(2+) channel and as Ca(2+)-activated GTPase, thus inducing Ca(2+)/GTP-dependent secretory events. To understand the function of annexin A7, we have performed targeted disruption of the Anxa7 gene in mice. Matings between heterozygous mice produced offspring showing a normal Mendelian pattern of inheritance, indicating that the loss of annexin A7 did not interfere with viability in utero. Mice lacking annexin A7 showed no obvious phenotype and were fertile. To assay for exocytosis, insulin secretion from isolated islets of Langerhans was examined. Ca(2+)-induced and cyclic AMP-mediated potentiation of insulin secretion was unchanged in the absence of annexin A7, suggesting that it is not directly implicated in vesicle fusion. Ca(2+) regulation studied in isolated cardiomyocytes, showed that while cells from early embryos displayed intact Ca(2+) homeostasis and expressed all of the components required for excitation-contraction coupling, cardiomyocytes from adult Anxa7(-/-) mice exhibited an altered cell shortening-frequency relationship when stimulated with high frequencies. This suggests a function for annexin A7 in electromechanical coupling, probably through Ca(2+) homoeostasis.     

Data mining applied to linkage disequilibrium mapping

We introduce a new method for linkage disequilibrium mapping: haplotype pattern mining (HPM). The method, inspired by data mining methods, is based on discovery of recurrent patterns. We define a class of useful haplotype patterns in genetic case-control data and use the algorithm for finding disease-associated haplotypes. The haplotypes are ordered by their strength of association with the phenotype, and all haplotypes exceeding a given threshold level are used for prediction of disease susceptibility-gene location. The method is model-free, in the sense that it does not require (and is unable to utilize) any assumptions about the inheritance model of the disease. The statistical model is nonparametric. The haplotypes are allowed to contain gaps, which improves the method's robustness to mutations and to missing and erroneous data. Experimental studies with simulated microsatellite and SNP data show that the method has good localization power in data sets with large degrees of phenocopies and with lots of missing and erroneous data. The power of HPM is roughly identical for marker maps at a density of 3 single-nucleotide polymorphisms/cM or 1 microsatellite/cM. The capacity to handle high proportions of phenocopies makes the method promising for complex disease mapping. An example of correct disease susceptibility-gene localization with HPM is given with real marker data from families from the United Kingdom affected by type 1 diabetes. The method is extendable to include environmental covariates or phenotype measurements or to find several genes simultaneously.