36 research outputs found

    Prospective comorbidity-matched study of Parkinson's disease and risk of mortality among women

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    Background: Individuals with Parkinson's disease (PD) may have an increased risk of overall mortality compared to the general population. Women may have lower mortality rates from PD than men; however, studies among women on the effect of PD on mortality have been limited and may not have adequately controlled for confounding by comorbidities. Methods: We conducted a matched cohort study among participants in the Women's Health Study. 396 incident PD cases were identified through self-report. Each PD case was matched by age to a comparator who was alive and had the same modified Charlson comorbidity score as the PD case. The PD cases and matched comparators were followed for all-cause mortality. Cox proportional hazards models adjusted for age at the index date, smoking, alcohol consumption, exercise and body mass index were used to determine the association between PD and mortality. Results: During a median of 6.2 years of follow-up, 72 women died (47 PD cases and 25 comparators). The multivariable-adjusted HR for mortality was 2.60 (95% CI 1.56 to 4.32). Conclusions: PD was associated with more than a twofold increased risk of all-cause mortality among women. Results are similar to those observed among men

    Association between lifestyle factors and headache

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    Modification of lifestyle habits is a key preventive strategy for many diseases. The role of lifestyle for the onset of headache in general and for specific headache types, such as migraine and tension-type headache (TTH), has been discussed for many years. Most results, however, were inconsistent and data on the association between lifestyle factors and probable headache forms are completely lacking. We evaluated the cross-sectional association between different lifestyle factors and headache subtypes using data from three different German cohorts. Information was assessed by standardized face-to-face interviews. Lifestyle factors included alcohol consumption, smoking status, physical activity and body mass index. According to the 2004 diagnostic criteria, we distinguished the following headache types: migraine, TTH and their probable forms. Regional variations of lifestyle factors were observed. In the age- and gender-adjusted logistic regression models, none of the lifestyle factors was statistically significant associated with migraine, TTH, and their probable headache forms. In addition, we found no association between headache subtypes and the health index representing the sum of individual lifestyle factors. The lifestyle factors such as alcohol consumption, smoking, physical activity and overweight seem to be unrelated to migraine and TTH prevalence. For a judgement on their role in the onset of new or first attacks of migraine or TTH (incident cases), prospective cohort studies are required

    TRY plant trait database – enhanced coverage and open access

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    Plant traits - the morphological, anatomical, physiological, biochemical and phenological characteristics of plants - determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait‐based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits - almost complete coverage for ‘plant growth form’. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait–environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives

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

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    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

    Multimorbidity in randomized controlled trials of behavioral interventions: A systematic review

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    © 2019 American Psychological Association. Objective: As the population with multiple chronic conditions (MCC) increases, it is essential that randomized controlled trials (RCTs) consider MCC. Behavioral interventions have the potential to positively impact MCC patient outcomes; however, a comprehensive review of consideration of MCC in these trials has not been conducted. The purpose of this systematic review is to determine the frequency with which participants with MCC are represented in behavioral intervention RCTs targeting chronic illness published 2000-2014. Method: MEDLINE and EMBASE were searched from 2000 to 2014 to identify RCTs testing behavioral interventions among adults with chronic illness. A random sampling selection process was performed to identify 600 eligible studies representative of the literature. Two reviewers independently extracted information on consideration of MCC in eligibility criteria and evaluated the reporting and consideration of MCC in trial analyses. Risk of bias was assessed using the Cochrane Collaboration Risk of Bias Tool. Results: In 600 behavioral intervention RCTs, targeting MCC was rare (4.3%). Exclusion of MCC was common (68.3%) and was done through general, specific, or vague exclusion criteria. 218 (36.3%) trials reported presence of MCCs through general or conditionspecific measures. Comorbidities were only considered in 4.8% of all trial analyses. Conclusions: In this comprehensive systematic review of 600 studies published from 2000-2014, RCTs testing behavioral interventions rarely consider individuals with MCC, limiting generalizability. Given the public health relevance and limited evidence base, this work highlights the urgent need to improve the consideration of MCC in clinical trial research
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