Tooth development standards for South Australia

The document attached has been archived with permission from the Australian Dental Association. An external link to the publisher’s copy is included.Background: Chronological age, as recorded by registration of birth date, is referred to throughout an individual's life. This information is relevant in medical and dental practice for evaluating developmental progress, for educational purposes, and in legal matters, particularly in the application of criminal law. The absence of birth date information raises particular concerns, and estimates of chronological age are often required. Standards of dental maturation may be used to estimate age, but they have been shown to be gender and population sensitive. Methods: The revised Demirjian' system of dental age estimation was applied to a sample of 615 South Australian children in order to assess its accuracy. Results: The results of our study have shown that the Demirjian system is of limited accuracy when used to estimate the age of South Australian children. Conclusions: Generation of new standard curves, specific to the Australian population, is indicated.CJ McKenna, H James, JA Taylor, GC Townsen

Short telomere length is associated with impaired cognitive performance in European ancestry cohorts

The association between telomere length (TL) dynamics on cognitive performance over the life-course is not well understood. This study meta-analyses observational and causal associations between TL and six cognitive traits, with stratifications on APOE genotype, in a Mendelian Randomization (MR) framework. Twelve European cohorts (N = 17 052; mean age = 59.2 +/- 8.8 years) provided results for associations between qPCR-measuredTL (T/S-ratio scale) and general cognitive function, mini-mental state exam (MMSE), processing speed by digit symbol substitution test (DSST), visuospatial functioning, memory and executive functioning (STROOP). In addition, a genetic risk score (GRS) for TL including seven known genetic variants for TL was calculated, and used in associations with cognitive traits as outcomes in all cohorts. Observational analyses showed that longer telomeres were associated with better scores on DSST (beta = 0.051 per s. d.-increase of TL; 95% confidence interval (CI): 0.024, 0.077; P = 0.0002), and MMSE (beta = 0.025; 95% CI: 0.002, 0.047; P = 0.03), and faster STROOP (beta = -0.053; 95% CI: -0.087, -0.018; P = 0.003). Effects for DSST were stronger in APOE epsilon 4 non-carriers (beta = 0.081; 95% CI: 0.045, 0.117; P = 1.0 x 10(-5)), whereas carriers performed better in STROOP (beta = -0.074; 95% CI: -0.140, -0.009; P = 0.03). Causal associations were found for STROOP only (beta = -0.598 per s. d.-increase of TL; 95% CI: -1.125, -0.072; P = 0.026), with a larger effect in epsilon 4-carriers (beta = -0.699; 95% CI: -1.330, -0.069; P = 0.03). Two-sample replication analyses using CHARGE summary statistics showed causal effects between TL and general cognitive function and DSST, but not with STROOP. In conclusion, we suggest causal effects from longer TL on better cognitive performance, where APOE epsilon 4-carriers might be at differential risk.Peer reviewe

Prediction of uncomplicated pregnancies in obese women: A prospective multicentre study

BACKGROUND: All obese pregnant women are considered at equal high risk with respect to complications in pregnancy and birth, and are commonly managed through resource-intensive care pathways. However, the identification of maternal characteristics associated with normal pregnancy outcomes could assist in the management of these pregnancies. The present study aims to identify the factors associated with uncomplicated pregnancy and birth in obese women, and to assess their predictive performance. METHODS: Data form obese women (BMI ≥ 30 kg/m 2 ) with singleton pregnancies included in the UPBEAT trial were used in this analysis. Multivariable logistic regression was used to identify sociodemographic, clinical and biochemical factors at 15 +0 to 18 +6 weeks' gestation associated with uncomplicated pregnancy and birth, defined as delivery of a term live-born infant without antenatal or labour complications. Predictive performance was assessed using area under the receiver operating characteristic curve (AUROC). Internal validation and calibration were also performed. Women were divided into fifths of risk and pregnancy outcomes were compared between groups. Sensitivity, specificity, and positive and negative predictive values were calculated using the upper fifth as the positive screening group. RESULTS: Amongst 1409 participants (BMI 36.4, SD 4.8 kg/m 2 ), the prevalence of uncomplicated pregnancy and birth was 36% (505/1409). Multiparity and increased plasma adiponectin, maternal age, systolic blood pressure and HbA1c were independently associated with uncomplicated pregnancy and birth. These factors achieved an AUROC of 0.72 (0.68-0.76) and the model was well calibrated. Prevalence of gestational diabetes, preeclampsia and other hypertensive disorders, preterm birth, and postpartum haemorrhage decreased whereas spontaneous vaginal delivery increased across the fifths of increasing predicted risk of uncomplicated pregnancy and birth. Sensitivity, specificity, and positive and negative predictive values were 38%, 89%, 63% and 74%, respectively. A simpler model including clinical factors only (no biomarkers) achieved an AUROC of 0.68 (0.65-0.71), with sensitivity, specificity, and positive and negative predictive values of 31%, 86%, 56% and 69%, respectively. CONCLUSION: Clinical factors and biomarkers can be used to help stratify pregnancy and delivery risk amongst obese pregnant women. Further studies are needed to explore alternative pathways of care for obese women demonstrating different risk profiles for uncomplicated pregnancy and birth

The impact of low-frequency and rare variants on lipid levels

Using a genome-wide screen of 9.6 million genetic variants achieved through 1000 Genomes Project imputation in 62,166 samples, we identify association to lipid traits in 93 loci, including 79 previously identified loci with new lead SNPs and 10 new loci, 15 loci with a low-frequency lead SNP and 10 loci with a missense lead SNP, and 2 loci with an accumulation of rare variants. In six loci, SNPs with established function in lipid genetics (CELSR2, GCKR, LIPC and APOE) or candidate missense mutations with predicted damaging function (CD300LG and TM6SF2) explained the locus associations. The low-frequency variants increased the proportion of variance explained, particularly for low-density lipoprotein cholesterol and total cholesterol. Altogether, our results highlight the impact of low-frequency variants in complex traits and show that imputation offers a cost-effective alternative to resequencing

Use of electromyography to detect muscle exhaustion in finishing barrows fed ractopamine HCl

Citation: Noel, J. A., Broxterman, R. M., McCoy, G. M., Craig, J. C., Phelps, K. J., Burnett, D. D., . . . Gonzalez, J. M. (2016). Use of electromyography to detect muscle exhaustion in finishing barrows fed ractopamine HCl. Journal of Animal Science, 94(6), 2344-2356. doi:10.2527/jas2016-0398The objectives of this study were to determine the effects of dietary ractopamine HCl (RAC) on muscle fiber characteristics and electromyography (EMG) measures of finishing barrow exhaustion when barrows were subjected to increased levels of activity. Barrows (n = 34; 92 +/- 2 kg initial BW) were assigned to 1 of 2 treatments: a conventional swine finishing diet containing 0 mg/kg ractopamine HCl (CON) or a diet formulated to meet the requirements of finishing barrows fed 10 mg/kg RAC (RAC+). After 32 d on feed, barrows were individually moved around a track at 0.79 m/s until subjectively exhausted. Wireless EMG sensors were affixed to the deltoideus (DT), triceps brachii lateral head (TLH), tensor fasciae latae (TFL), and semitendinosus (ST) muscles to measure median power frequency (MdPF) and root mean square (RMS) as indicators of action potential conduction velocity and muscle fiber recruitment, respectively. After harvest, samples of each muscle were collected for fiber type, succinate dehydrogenase (SDH), and capillary density analysis. Speed was not different (P = 0.82) between treatments, but RAC+ barrows reached subjective exhaustion earlier and covered less distance than CON barrows (P 0.29). There was a treatment x muscle interaction (P = 0.04) for end-point RMS values. The RAC diet did not change end-point RMS values in the DT or TLH (P > 0.37); however, the diet tended to decrease and increase end-point RMS in the ST and TFL, respectively (P 0.10). Muscles of RAC+ barrows tended to have less type I fibers and more capillaries per fiber (P < 0.07). Type I and IIA fibers of RAC+ barrows were larger (P < 0.07). Compared with all other muscles, the ST had more (P < 0.01) type IIB fibers and larger type I, IIA, and IIX fibers (P < 0.01). Type I, IIA, and IIX fibers of the ST also contained less SDH compared with the other muscles (P < 0.01). Barrows fed a RAC diet had increased time to subjective exhaustion due to loss of active muscle fibers in the ST, possibly due to fibers being larger and less oxidative in metabolism. Size increases in type I and IIA fibers with no change in oxidative capacity could also contribute to early exhaustion of RAC+ barrows. Overall, EMG technology can measure real-time muscle fiber loss to help explain subjective exhaustion in barrows

Estimating the neutron yield in a deuterium plasma with the JET neutron camera

The JET neutron camera is a well-established detector system at JET, which has 19 sightlines each equipped with a liquid scintillator. The system measures a 2D profile of the neutron emission from the plasma. A first principle physics method is used to estimate the DD neutron yield that is based on JET neutron camera measurements and is independent of other neutron measurements. This paper details the data reduction techniques, models of the neutron camera, simulations of neutron transport, and detector responses used to this end. The estimate uses a simple parameterized model of the neutron emission profile. The method makes use of the JET neutron camera’s upgraded data acquisition system. It also accounts for neutron scattering near the detectors and transmission through the collimator. These components together contribute to 9% of the detected neutron rate above a 0.5 MeVee energy threshold. Despite the simplicity of the neutron emission profile model, the DD neutron yield estimate falls on average within 10% agreement with a corresponding estimate from the JET fission chambers. The method can be improved by considering more advanced neutron emission profiles. It can also be expanded to estimate the DT neutron yield with the same methodology

Exploratory analysis of biological age measures in a remyelination clinical trial

Enhancing CNS myelin repair (remyelination) is a promising strategy to prevent neurodegeneration and associated progressive disability in multiple sclerosis. Remyelination becomes inefficient with older chronological age, but the relationship between measures of biological age and remyelination has not been previously described in a clinical cohort. Here, we investigated two measures of biological age amongst participants of the Cambridge Centre for Myelin Repair One trial of bexarotene: MRI brain age (BAMRI) and a blood-based biological age (BABlood). In people with radiologically stable multiple sclerosis (n = 44 of 49 total participants), we found that treatment with bexarotene, along with promoting remyelination, was associated with significant decrease in MRI brain age [−1.98 years, 95% confidence interval (CI) [−3.75, −0.21 years] versus placebo over 6 months, P = 0.034]. Whilst BAMRI increased as expected during the trial in the placebo group (+0.92 years, CI [−0.41, 2.26]), the brain MRIs of participants treated with bexarotene appeared on average 11 months younger at the end compared to the start of the trial (−0.93 years, CI [−2.02, 0.17]). The effect of bexarotene on BAMRI was associated with its remyelinating activity in cortical grey matter lesions (β = 0.25% units (pu)/year, CI [0.03, 0.46], P = 0.023) and brainstem lesions (β = 0.24 pu/year, CI [0.09, 0.39], P = 0.003). We also observed some regional trends that the remyelinating response to bexarotene was linked with measures of biological age at baseline. For example, after adjustment for chronological age, remyelination of brainstem lesions assessed by magnetization transfer ratio was reduced by 0.06 pu for each year increase in BAMRI (CI [0.00, 0.13], P = 0.058) and 0.02 pu for each year increase in BABlood (CI [−0.01, 0.05], P = 0.17). This is, to the best of our knowledge, the first demonstration that MRI brain age can be therapeutically modulated by a drug in people with a neurological disorder. Overall, these findings highlight that beyond chronological age, biological age may also influence the potential for repair and should be considered when developing treatments for multiple sclerosis

Northern Eurasia Future Initiative (NEFI): facing the challenges and pathways of global change in the 21st century

During the past several decades, the Earth system has changed significantly, especially across Northern Eurasia. Changes in the socio-economic conditions of the larger countries in the region have also resulted in a variety of regional environmental changes that can have global consequences. The Northern Eurasia Future Initiative (NEFI) has been designed as an essential continuation of the Northern Eurasia Earth Science Partnership Initiative (NEESPI), which was launched in 2004. NEESPI sought to elucidate all aspects of ongoing environmental change, to inform societies and, thus, to better prepare societies for future developments. A key principle of NEFI is that these developments must now be secured through science-based strategies co-designed with regional decision makers to lead their societies to prosperity in the face of environmental and institutional challenges. NEESPI scientific research, data, and models have created a solid knowledge base to support the NEFI program. This paper presents the NEFI research vision consensus based on that knowledge. It provides the reader with samples of recent accomplishments in regional studies and formulates new NEFI science questions. To address these questions, nine research foci are identified and their selections are briefly justified. These foci include: warming of the Arctic; changing frequency, pattern, and intensity of extreme and inclement environmental conditions; retreat of the cryosphere; changes in terrestrial water cycles; changes in the biosphere; pressures on land-use; changes in infrastructure; societal actions in response to environmental change; and quantification of Northern Eurasia's role in the global Earth system. Powerful feedbacks between the Earth and human systems in Northern Eurasia (e.g., mega-fires, droughts, depletion of the cryosphere essential for water supply, retreat of sea ice) result from past and current human activities (e.g., large scale water withdrawals, land use and governance change) and potentially restrict or provide new opportunities for future human activities. Therefore, we propose that Integrated Assessment Models are needed as the final stage of global change assessment. The overarching goal of this NEFI modeling effort will enable evaluation of economic decisions in response to changing environmental conditions and justification of mitigation and adaptation efforts