Effects of a dual-task paradigm on tandem gait performance

In concussion management, a variety of cognitive and motor control tests, like the tandem gait, have been used for assessing the presence of a concussion injury at the sideline and through recovery. More recently, research suggests that introducing a secondary cognitive retention task during tandem gait (i.e., dual task) may provide a better assessment of concussion. The purpose of this study was to determine if a tandem gait test paired with a 6-digit retention is a valid and reliable tool. Participants completed three trials of both the single-task (ST) and dual-task (DT) tandem gait tests, and their average (MEAN) and fastest (BEST) completion times of both conditions were recorded. Seventy-five healthy collegiate athletes (age: 20.1 ± 1.8 years) performed the DT slower than the ST for both MEAN and BEST times (p \u3c .001). Trial 3 was significantly faster than Trial 1 for both ST and DT (p \u3c .001), but still showed high reliability across the three trials. Concussion history did not have a significant effect on DT MEAN or BEST times, but gender had a moderate effect on DT BEST times. The DT was found to have low correlations to SWAY’s balance and reaction time tests, and the Immediate Post-Concussion Assessment and Cognitive Testing visual motor composite. Preliminary data has shown that the DT may be a reliable and valid tool for assessing the interaction between balance and cognition in uninjured athletes, however application for concussed individuals needs to be explored before full implementation into concussion management protocols

Dietary energy restriction, in part through glucocorticoid hormones, mediates the impact of 12-O-tetradecanoylphorbol-13-acetate on jun D and fra-1 in sencar mouse epidermis

Dietary energy restriction (DER, 40% calorie reduction from fat and carbohydrate) inhibited mouse skin carcinogenesis and decreased 12-O-tetradecanoyl-13-phorbol acetate (TPA)-induced activator protein-1 (AP-1):DNA binding previously. This study measured protein levels of c-jun, jun B, jun D, c-fos, fra-1, and fra-2 and examined their contribution to AP-1:DNA binding by electrophoretic mobility shift assay (EMSA) with supershift analysis in the epidermis of control and DER Sencar mice exposed to TPA. TPA significantly increased c-jun, jun B, c-fos, fra-1, and fra-2 and decreased jun D within 3–6 h after treatment. AP-1:DNA binding reached a maximum 2.5-fold induction over controls 4 h after TPA treatment and antibodies to jun B, jun D, and fra-2 in the EMSA binding reaction resulted in supershifts in both acetone- and TPA-treated mice 1–6 h after treatment. The effect of corticosterone (CCS) and DER on the AP-1 proteins and on the composition of the AP-1:DNA complex was measured in adrenalectomized (adx) mice. DER reduced the TPA impact on jun D and enhanced the induction of fra-1. In addition, CCS-supplemented groups had significantly lower jun D and higher fra-2 than adx groups and sham groups. While sham animals treated with either acetone or TPA contained jun B, jun D, and fra-2 proteins in the AP-1:DNA complex by supershift analysis, fra-2 was no longer seen in adx DER animals. In summary, our study supports potential roles for jun D, jun B, and fra-1 in the DER regulation of AP-1 function in the Sencar mouse skin carcinogenesis model

The genetic architecture of the human cerebral cortex

The cerebral cortex underlies our complex cognitive capabilities, yet little is known about the specific genetic loci that influence human cortical structure. To identify genetic variants that affect cortical structure, we conducted a genome-wide association meta-analysis of brain magnetic resonance imaging data from 51,665 individuals. We analyzed the surface area and average thickness of the whole cortex and 34 regions with known functional specializations. We identified 199 significant loci and found significant enrichment for loci influencing total surface area within regulatory elements that are active during prenatal cortical development, supporting the radial unit hypothesis. Loci that affect regional surface area cluster near genes in Wnt signaling pathways, which influence progenitor expansion and areal identity. Variation in cortical structure is genetically correlated with cognitive function, Parkinson's disease, insomnia, depression, neuroticism, and attention deficit hyperactivity disorder

Finishing the euchromatic sequence of the human genome

The sequence of the human genome encodes the genetic instructions for human physiology, as well as rich information about human evolution. In 2001, the International Human Genome Sequencing Consortium reported a draft sequence of the euchromatic portion of the human genome. Since then, the international collaboration has worked to convert this draft into a genome sequence with high accuracy and nearly complete coverage. Here, we report the result of this finishing process. The current genome sequence (Build 35) contains 2.85 billion nucleotides interrupted by only 341 gaps. It covers ∼99% of the euchromatic genome and is accurate to an error rate of ∼1 event per 100,000 bases. Many of the remaining euchromatic gaps are associated with segmental duplications and will require focused work with new methods. The near-complete sequence, the first for a vertebrate, greatly improves the precision of biological analyses of the human genome including studies of gene number, birth and death. Notably, the human enome seems to encode only 20,000-25,000 protein-coding genes. The genome sequence reported here should serve as a firm foundation for biomedical research in the decades ahead

31st Annual Meeting and Associated Programs of the Society for Immunotherapy of Cancer (SITC 2016) : part two

Background The immunological escape of tumors represents one of the main ob- stacles to the treatment of malignancies. The blockade of PD-1 or CTLA-4 receptors represented a milestone in the history of immunotherapy. However, immune checkpoint inhibitors seem to be effective in specific cohorts of patients. It has been proposed that their efficacy relies on the presence of an immunological response. Thus, we hypothesized that disruption of the PD-L1/PD-1 axis would synergize with our oncolytic vaccine platform PeptiCRAd. Methods We used murine B16OVA in vivo tumor models and flow cytometry analysis to investigate the immunological background. Results First, we found that high-burden B16OVA tumors were refractory to combination immunotherapy. However, with a more aggressive schedule, tumors with a lower burden were more susceptible to the combination of PeptiCRAd and PD-L1 blockade. The therapy signifi- cantly increased the median survival of mice (Fig. 7). Interestingly, the reduced growth of contralaterally injected B16F10 cells sug- gested the presence of a long lasting immunological memory also against non-targeted antigens. Concerning the functional state of tumor infiltrating lymphocytes (TILs), we found that all the immune therapies would enhance the percentage of activated (PD-1pos TIM- 3neg) T lymphocytes and reduce the amount of exhausted (PD-1pos TIM-3pos) cells compared to placebo. As expected, we found that PeptiCRAd monotherapy could increase the number of antigen spe- cific CD8+ T cells compared to other treatments. However, only the combination with PD-L1 blockade could significantly increase the ra- tio between activated and exhausted pentamer positive cells (p= 0.0058), suggesting that by disrupting the PD-1/PD-L1 axis we could decrease the amount of dysfunctional antigen specific T cells. We ob- served that the anatomical location deeply influenced the state of CD4+ and CD8+ T lymphocytes. In fact, TIM-3 expression was in- creased by 2 fold on TILs compared to splenic and lymphoid T cells. In the CD8+ compartment, the expression of PD-1 on the surface seemed to be restricted to the tumor micro-environment, while CD4 + T cells had a high expression of PD-1 also in lymphoid organs. Interestingly, we found that the levels of PD-1 were significantly higher on CD8+ T cells than on CD4+ T cells into the tumor micro- environment (p < 0.0001). Conclusions In conclusion, we demonstrated that the efficacy of immune check- point inhibitors might be strongly enhanced by their combination with cancer vaccines. PeptiCRAd was able to increase the number of antigen-specific T cells and PD-L1 blockade prevented their exhaus- tion, resulting in long-lasting immunological memory and increased median survival

Dietary energy restriction, in part through glucocorticoid hormones, mediates the impact of 12-O-tetradecanoylphorbol-13-acetate on jun D and fra-1 in sencar mouse epidermis

Dietary energy restriction (DER, 40% calorie reduction from fat and carbohydrate) inhibited mouse skin carcinogenesis and decreased 12-O-tetradecanoyl-13-phorbol acetate (TPA)-induced activator protein-1 (AP-1):DNA binding previously. This study measured protein levels of c-jun, jun B, jun D, c-fos, fra-1, and fra-2 and examined their contribution to AP-1:DNA binding by electrophoretic mobility shift assay (EMSA) with supershift analysis in the epidermis of control and DER Sencar mice exposed to TPA. TPA significantly increased c-jun, jun B, c-fos, fra-1, and fra-2 and decreased jun D within 3–6 h after treatment. AP-1:DNA binding reached a maximum 2.5-fold induction over controls 4 h after TPA treatment and antibodies to jun B, jun D, and fra-2 in the EMSA binding reaction resulted in supershifts in both acetone- and TPA-treated mice 1–6 h after treatment. The effect of corticosterone (CCS) and DER on the AP-1 proteins and on the composition of the AP-1:DNA complex was measured in adrenalectomized (adx) mice. DER reduced the TPA impact on jun D and enhanced the induction of fra-1. In addition, CCS-supplemented groups had significantly lower jun D and higher fra-2 than adx groups and sham groups. While sham animals treated with either acetone or TPA contained jun B, jun D, and fra-2 proteins in the AP-1:DNA complex by supershift analysis, fra-2 was no longer seen in adx DER animals. In summary, our study supports potential roles for jun D, jun B, and fra-1 in the DER regulation of AP-1 function in the Sencar mouse skin carcinogenesis model.This is the accepted manuscript of an article published in Molecular Carcinogenesis 49, no. 6 (2010): 592–602, http://dx.doi.org/10.1002/mc.20625.</p

Hepatitis C Treatment: Peer Insights on Barriers and Motivators to Direct-Acting Antiviral (DAA) Treatment Uptake (Broadsheet No.2)

Abstract: A research project by the Australian Research Centre in Sex, Health and Society in collaboration with peer-based organisations – Peer Based Harm Reduction WA, NSW Users and AIDS Association and Harm Reduction Victoria. The knowledge and experience of people who inject drugs (PWID) within peer programs is a vital asset to strategies for the scale-up of DAA treatment among people who inject drugs. This study is focused on translating these “real time” peer insights into resources that support policy and programs to tailor to the needs of communities of people who inject. This tailoring is critical to achieving the goal of eliminating hepatitis C.This broadsheet is the second of a series that will be produced over the duration of the project. This series will present current peer insights from the peer workers and other members of the people who inject drugs community on the access to and uptake of the new hepatitis C treatment.</p

Same data, different analysts: variation in effect sizes due to analytical decisions in ecology and evolutionary biology

Gould E, Fraser H, Parker T, et al. Same data, different analysts: variation in effect sizes due to analytical decisions in ecology and evolutionary biology. 2023.Although variation in effect sizes and predicted values among studies of similar phenomena is inevitable, such variation far exceeds what might be produced by sampling error alone. One possible explanation for variation among results is differences among researchers in the decisions they make regarding statistical analyses. A growing array of studies has explored this analytical variability in different (mostly social science) fields, and has found substantial variability among results, despite analysts having the same data and research question. We implemented an analogous study in ecology and evolutionary biology, fields in which there have been no empirical exploration of the variation in effect sizes or model predictions generated by the analytical decisions of different researchers. We used two unpublished datasets, one from evolutionary ecology (blue tit, Cyanistes caeruleus, to compare sibling number and nestling growth) and one from conservation ecology (Eucalyptus, to compare grass cover and tree seedling recruitment), and the project leaders recruited 174 analyst teams, comprising 246 analysts, to investigate the answers to prespecified research questions. Analyses conducted by these teams yielded 141 usable effects for the blue tit dataset, and 85 usable effects for the Eucalyptus dataset. We found substantial heterogeneity among results for both datasets, although the patterns of variation differed between them. For the blue tit analyses, the average effect was convincingly negative, with less growth for nestlings living with more siblings, but there was near continuous variation in effect size from large negative effects to effects near zero, and even effects crossing the traditional threshold of statistical significance in the opposite direction. In contrast, the average relationship between grass cover and Eucalyptus seedling number was only slightly negative and not convincingly different from zero, and most effects ranged from weakly negative to weakly positive, with about a third of effects crossing the traditional threshold of significance in one direction or the other. However, there were also several striking outliers in the Eucalyptus dataset, with effects far from zero. For both datasets, we found substantial variation in the variable selection and random effects structures among analyses, as well as in the ratings of the analytical methods by peer reviewers, but we found no strong relationship between any of these and deviation from the meta-analytic mean. In other words, analyses with results that were far from the mean were no more or less likely to have dissimilar variable sets, use random effects in their models, or receive poor peer reviews than those analyses that found results that were close to the mean. The existence of substantial variability among analysis outcomes raises important questions about how ecologists and evolutionary biologists should interpret published results, and how they should conduct analyses in the future

Publisher Correction: Whole-genome sequencing of a sporadic primary immunodeficiency cohort (Nature, (2020), 583, 7814, (90-95), 10.1038/s41586-020-2265-1)

An amendment to this paper has been published and can be accessed via a link at the top of the paper

Whole-genome sequencing of patients with rare diseases in a national health system

Most patients with rare diseases do not receive a molecular diagnosis and the aetiological variants and causative genes for more than half such disorders remain to be discovered1. Here we used whole-genome sequencing (WGS) in a national health system to streamline diagnosis and to discover unknown aetiological variants in the coding and non-coding regions of the genome. We generated WGS data for 13,037 participants, of whom 9,802 had a rare disease, and provided a genetic diagnosis to 1,138 of the 7,065 extensively phenotyped participants. We identified 95 Mendelian associations between genes and rare diseases, of which 11 have been discovered since 2015 and at least 79 are confirmed to be aetiological. By generating WGS data of UK Biobank participants2, we found that rare alleles can explain the presence of some individuals in the tails of a quantitative trait for red blood cells. Finally, we identified four novel non-coding variants that cause disease through the disruption of transcription of ARPC1B, GATA1, LRBA and MPL. Our study demonstrates a synergy by using WGS for diagnosis and aetiological discovery in routine healthcare