Negative z-scores however were only seen for

Negative z-scores however were only seen for selleck kinase inhibitor spine BMD, and no skater in any discipline had a z-score outside of

2 standard deviations of the mean. Figure 1 Comparison of site specific bone mineral density z scores among skater type. Significant differences by ANOVA: *p = 0.003 for Single and Pairs vs Dancer; **p < 0.001 Single vs Dancer; †p = 0.001 Single vs Dancer. Predictors of bone mineral density When controlling for all other variables, skater discipline (single, pair, or dancer) and BMI were the only significant predictors of total and all site-specific BMD regions measured in our model. Skaters with the lowest BMI had the lower BMD scores across all BMD regions measured except the pelvis. While there was no significant difference in BMI among the 3 skater disciplines, regression analysis showed that total SB431542 clinical trial BMD increased with increasing BMI in the total group of skaters (R = 0.60; p < 0.001). The effect of skater discipline on BMD variables is shown in Figure 1. Single and pair skaters each had higher z scores for total body BMD than did dancers. This was significant for single vs dancer skaters. Both single and pair skaters had significantly higher pelvic z scores than dancer skaters. Single skaters also had significantly higher leg z scores than dancer skaters. There was no significant difference in spine z-scores among the three groups. Discussion The female athlete triad refers to

the interrelationships among energy availability, menstrual function, and bone mineralization. If energy deficits are extreme, and

body weight and fat mass are very low, estrogen levels fall, with delayed menarche in younger girls and menstrual irregularities. [9] Bone demineralization may ensue, particularly when intakes of vitamin D and calcium are insufficient, ultimately MRIP increasing stress fracture risk. Low energy intakes and suboptimal amounts of bone building nutrients have been reported in figure skaters [10–12]. The degree in which bone loading and physical training counterbalances the detrimental effects of poor nutrition on bone density in this unique group of athletes has not been studied. Furthermore, stratifying by skater discipline, as a proxy for the extent of mechanical loading experienced, has never been attempted, and is the greatest contribution of this study. The Academy of Sports Medicine recommends that the WHO criteria (z-score of −2.0) be used for identifying risk of osteoporosis in adult female athletes [13]. Defining BMD z-scores cut-offs for predicting fracture risk in adolescents is more difficult, as there is selleck chemicals llc insufficient data on how to adjust BMD for bone size, pre-pubertal age, and skeletal maturity in growing children. The International Society for Clinical Densitometry states that children with a total body BMD z-score of −2.0 (using a pediatric database matched for age and gender) are considered to have “low bone mineral density for chronological age”.

As long as the line is flat there is low variability of the test

As long as the line is flat there is low variability of the test strain compared to W83. Dips in the line indicate variability. Blue lines/rectangles below depict potential absent buy GS-9973 regions. At the top the probe positions are given as described in the W83 genome [29]. The numbers at the bottom label the 10 highly variable regions in each strain which are explained in the text. CRISPR represents a region of interest with CRISPR associated genes as described in the text. Table 6 Highly variable P. gingivalis genomic regions Variable region Location Gene content of the region Region 1 PG0109-PG0118 Capsular polysaccharide

biosynthesis locus [27, 28] Region 2 PG0814-PG0875 Potential pathogenicity island [28]. Many DNA mobilization proteins Region 3 selleck compound PG1435-PG1533 Potential pathogenicity selleck island [28]. Many transposon related genes.

Region 4 PG0185-PG0187 Virulence associated ragA-ragB locus [46] highly variable in strains other than W83 and ATCC49417 Region 5 PG0456-PG0461 PHP domain protein, transposases Region 6 PG0542-PG0546 transcriptional regulator, type 1 restriction modification gene Region 7 PG0741-PG0742 PgaA and hypothetical protein Region 8 PG1107-PG1113 Integrase/mobilization, hypothetical proteins Region 9 PG1200-PG1206 Transcriptional regulator, DNA binding protein, hypothetical proteins Region 10 PG2134-PG2136 Lipoproteins, hypothetical proteins Another region that was found to be interesting in this analysis is region PG1981-PG1986 which is comprised of clustered regularly interspaced short palindromic repeat (CRISPR) associated genes (CAS) [57]. Together with CRISPRs, located directly downstream of PG1981, these types of genes have been described as the immune system of bacteria against foreign DNA, e.g. plasmids and viruses. Recently they also have been described as a useful tool in epidemiology [58]. Variation is expected to be

high in these regions as they encompass exogenous DNA sequence Adenosine triphosphate fragments from infection events that happened to the strain or its ancestors. Here variation within the CAS genes is evident, but not as high as the other regions mentioned in this section. W83-specific genes Strain W83 has been described as a highly virulent strain. What makes this strain special is however not specifically known. The purified CPS of W83 has been shown to induce a higher immune response than other types of CPS [26]. Removal of the capsular structure, by genetic interruption of CPS-biosynthesis, however resulted in a much higher immune response when infecting fibroblasts with viable P. gingivalis [27]. What this means for virulence in a mouse model has not yet been addressed. With the data presented here a more detailed study is possible to find specific traits that make W83 different. A list of all genes that are aberrant in each of the test strains and absent in each of the test strains is presented (see Additional file 2).

: Introducing mothur: open-source, platform-independent, communit

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