| 1. |
- Driscoll, T, et al.
(författare)
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Global and regional burden of disease and injury in 2016 arising from occupational exposures: a systematic analysis for the Global Burden of Disease Study 2016
- 2020
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Ingår i: Occupational and environmental medicine. - : BMJ. - 1470-7926 .- 1351-0711. ; 77:3, s. 133-141
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Tidskriftsartikel (refereegranskat)abstract
- This study provides an overview of the influence of occupational risk factors on the global burden of disease as estimated by the occupational component of the Global Burden of Disease (GBD) 2016 study.MethodsThe GBD 2016 study estimated the burden in terms of deaths and disability-adjusted life years (DALYs) arising from the effects of occupational risk factors (carcinogens; asthmagens; particulate matter, gases and fumes (PMGF); secondhand smoke (SHS); noise; ergonomic risk factors for low back pain; risk factors for injury). A population attributable fraction (PAF) approach was used for most risk factors.ResultsIn 2016, globally, an estimated 1.53 (95% uncertainty interval 1.39–1.68) million deaths and 76.1 (66.3–86.3) million DALYs were attributable to the included occupational risk factors, accounting for 2.8% of deaths and 3.2% of DALYs from all causes. Most deaths were attributable to PMGF, carcinogens (particularly asbestos), injury risk factors and SHS. Most DALYs were attributable to injury risk factors and ergonomic exposures. Men and persons 55 years or older were most affected. PAFs ranged from 26.8% for low back pain from ergonomic risk factors and 19.6% for hearing loss from noise to 3.4% for carcinogens. DALYs per capita were highest in Oceania, Southeast Asia and Central sub-Saharan Africa. On a per capita basis, between 1990 and 2016 there was an overall decrease of about 31% in deaths and 25% in DALYs.ConclusionsOccupational exposures continue to cause an important health burden worldwide, justifying the need for ongoing prevention and control initiatives.
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| 2. |
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| 3. |
- Kattge, Jens, et al.
(författare)
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TRY plant trait database - enhanced coverage and open access
- 2020
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Ingår i: Global Change Biology. - : Wiley-Blackwell. - 1354-1013 .- 1365-2486. ; 26:1, s. 119-188
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Tidskriftsartikel (refereegranskat)abstract
- 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.
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| 4. |
- Loisel, J., et al.
(författare)
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Expert assessment of future vulnerability of the global peatland carbon sink
- 2021
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Ingår i: Nature Climate Change. - : Springer Science and Business Media LLC. - 1758-678X .- 1758-6798. ; 11:1, s. 70-77
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Tidskriftsartikel (refereegranskat)abstract
- Peatlands are impacted by climate and land-use changes, with feedback to warming by acting as either sources or sinks of carbon. Expert elicitation combined with literature review reveals key drivers of change that alter peatland carbon dynamics, with implications for improving models. The carbon balance of peatlands is predicted to shift from a sink to a source this century. However, peatland ecosystems are still omitted from the main Earth system models that are used for future climate change projections, and they are not considered in integrated assessment models that are used in impact and mitigation studies. By using evidence synthesized from the literature and an expert elicitation, we define and quantify the leading drivers of change that have impacted peatland carbon stocks during the Holocene and predict their effect during this century and in the far future. We also identify uncertainties and knowledge gaps in the scientific community and provide insight towards better integration of peatlands into modelling frameworks. Given the importance of the contribution by peatlands to the global carbon cycle, this study shows that peatland science is a critical research area and that we still have a long way to go to fully understand the peatland-carbon-climate nexus.
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| 5. |
- Alemany, S., et al.
(författare)
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Associations between air pollution and biomarkers of Alzheimer's disease in cognitively unimpaired individuals
- 2021
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Ingår i: Environment International. - : Elsevier BV. - 0160-4120. ; 157
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Tidskriftsartikel (refereegranskat)abstract
- Background: Air quality contributes to incidence of Alzheimer's disease (AD) although the underlying neurobiological mechanisms are unclear. This study was aimed to examine the association between air pollution and concentrations of cerebrospinal fluid (CSF) AD biomarkers and amyloid-beta (A beta) deposition. Participants and methods The sample included 156 cognitively unimpaired adults aged 57 years (61 at biomarkers assessment) with increased risk of AD from the ALFA + Study. We examined CSF levels of A beta 42, A beta 40, p-Tau, t-Tau, neurofilament light (NfL) and cerebral amyloid load (Centiloid). A Land Use Regression model from 2009 was used to estimate residential exposure to air pollutants including nitrogen dioxide (NO2,) and particulate matter (PM2.5, PM2.5 abs, PM10). This model was considered a surrogate of long-term exposure until time of data collection in 2013-2014. Participants have resided in the same residence for at least the previous 3 years. Multiple linear regression models were used to estimate associations between air pollutants and biomarkers. The effect modification by CSF A beta status and APOE-epsilon 4 carriership was also assessed. Results: A consistent pattern of results indicated that greater exposure to NO2 and PM2.5 absorbance was associated with higher levels of brain A beta deposition, while greater exposure to PM10 and PM(2.5)was associated with higher levels of CSF NfL. Most associations were driven by individuals that were A beta-positive. Although APOE-epsilon 4 status did not significantly modify these associations, the effect of air pollutants exposure on CSF NfL levels was stronger in APOE-epsilon 4 carriers. Conclusion: In a population of cognitively unimpaired adults with increased risk of AD, long-term exposure to air pollution was associated with higher levels in biomarkers of AD pathology. While further research is granted to elucidate the mechanisms involved in such associations, our results reinforce the role of air pollution as an environmental risk factor for AD.
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| 6. |
- Grau-Rivera, O., et al.
(författare)
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Association of weight change with cerebrospinal fluid biomarkers and amyloid positron emission tomography in preclinical Alzheimer's disease
- 2021
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Ingår i: Alzheimer's Research & Therapy. - : Springer Science and Business Media LLC. - 1758-9193. ; 13:1
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Tidskriftsartikel (refereegranskat)abstract
- BackgroundRecognizing clinical manifestations heralding the development of Alzheimer's disease (AD)-related cognitive impairment could improve the identification of individuals at higher risk of AD who may benefit from potential prevention strategies targeting preclinical population. We aim to characterize the association of body weight change with cognitive changes and AD biomarkers in cognitively unimpaired middle-aged adults.MethodsThis prospective cohort study included data from cognitively unimpaired adults from the ALFA study (n=2743), a research platform focused on preclinical AD. Cognitive and anthropometric data were collected at baseline between April 2013 and November 2014. Between October 2016 and February 2020, 450 participants were visited in the context of the nested ALFA+ study and underwent cerebrospinal fluid (CSF) extraction and acquisition of positron emission tomography images with [F-18]flutemetamol (FTM-PET). From these, 408 (90.1%) were included in the present study. We used data from two visits (average interval 4.1years) to compute rates of change in weight and cognitive performance. We tested associations between these variables and between weight change and categorical and continuous measures of CSF and neuroimaging AD biomarkers obtained at follow-up. We classified participants with CSF data according to the AT (amyloid, tau) system and assessed between-group differences in weight change.ResultsWeight loss predicted a higher likelihood of positive FTM-PET visual read (OR 1.27, 95% CI 1.00-1.61, p=0.049), abnormal CSF p-tau levels (OR 1.50, 95% CI 1.19-1.89, p=0.001), and an A+T+ profile (OR 1.64, 95% CI 1.25-2.20, p=0.001) and was greater among participants with an A+T+ profile (p<0.01) at follow-up. Weight change was positively associated with CSF A42/40 ratio (beta =0.099, p=0.032) and negatively associated with CSF p-tau (beta=-0.141, p=0.005), t-tau (beta=-0.147 p=0.004) and neurogranin levels (beta=-0.158, p=0.002). In stratified analyses, weight loss was significantly associated with higher t-tau, p-tau, neurofilament light, and neurogranin, as well as faster cognitive decline in A+ participants only.ConclusionsWeight loss predicts AD CSF and PET biomarker results and may occur downstream to amyloid-beta accumulation in preclinical AD, paralleling cognitive decline. Accordingly, it should be considered as an indicator of increased risk of AD-related cognitive impairment.Trial registrationNCT01835717, NCT02485730, NCT02685969.
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| 7. |
- Mila-Aloma, M., et al.
(författare)
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Amyloid beta, tau, synaptic, neurodegeneration, and glial biomarkers in the preclinical stage of the Alzheimer's continuum
- 2020
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Ingår i: Alzheimers & Dementia. - : Wiley. - 1552-5260 .- 1552-5279. ; 16:10, s. 1358-1371
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Tidskriftsartikel (refereegranskat)abstract
- Introduction: The biological pathways involved in the preclinical stage of the Alzheimer's continuum are not well understood. Methods: We used NeuroToolKit and Elecsys (R) immunoassays to measure cerebrospinal fluid (CSF) amyloid-beta (A beta)42, A beta 40, phosphorylated tau (p-tau), total tau (t-tau), neurofilament light (NfL), neurogranin, sTREM2, YKL40, GFAP, IL6, S100, and alpha-synuclein in cognitively unimpaired participants of the ALFA+ study, many within the Alzheimer's continuum. Results: CSF t-tau, p-tau, and neurogranin increase throughout aging only in A beta-positive individuals, whereas NfL and glial biomarkers increase with aging regardless of A beta status. We modelled biomarker changes as a function of CSF A beta 42/40, p-tau and p-tau/A beta 42 as proxies of disease progression. The first change observed in the Alzheimer's continuum was a decrease in the CSF A4 beta 42/40 ratio. This is followed by a steep increase in CSF p-tau; t-tau; neurogranin; and, to a lesser extent, in NfL and glial biomarkers. Discussion: Multiple biological pathways are altered and could be targeted very early in the Alzheimer's continuum.
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| 8. |
- Mila-Aloma, M., et al.
(författare)
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Cognitively unimpaired individuals with a low burden of A beta pathology have a distinct CSF biomarker profile
- 2021
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Ingår i: Alzheimers Research & Therapy. - : Springer Science and Business Media LLC. - 1758-9193. ; 13:1
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Tidskriftsartikel (refereegranskat)abstract
- Background: Understanding the changes that occur in the transitional stage between absent and overt amyloid-beta (A beta) pathology within the Alzheimer's continuum is crucial to develop therapeutic and preventive strategies. The objective of this study is to test whether cognitively unimpaired individuals with a low burden of A beta pathology have a distinct CSF, structural, and functional neuroimaging biomarker profile. Methods: Cross-sectional study of 318 middle-aged, cognitively unimpaired individuals from the ALFA+ cohort. We measured CSF A beta 42/40, phosphorylated tau (p-tau), total tau (t-tau), neurofilament light (NfL), neurogranin, sTREM2, YKL40, GFAP, IL6, S100B, and alpha-synuclein. Participants also underwent cognitive assessments, APOE genotyping, structural MRI, [F-18]-FDG, and [F-18]-flutemetamol PET. To ensure the robustness of our results, we used three definitions of low burden of A beta pathology: (1) positive CSF A beta 42/40 and < 30 Centiloids in A beta PET, (2) positive CSF A beta 42/40 and negative A beta PET visual read, and (3) 20-40 Centiloid range in A beta PET. We tested CSF and neuroimaging biomarker differences between the low burden group and the corresponding A beta-negative group, adjusted by age and sex. Results: The prevalence and demographic characteristics of the low burden group differed between the three definitions. CSF p-tau and t-tau were increased in the low burden group compared to the A beta-negative in all definitions. CSF neurogranin was increased in the low burden group definitions 1 and 3, while CSF NfL was only increased in the low burden group definition 1. None of the defined low burden groups showed signs of atrophy or glucose hypometabolism. Instead, we found slight increases in cortical thickness and metabolism in definition 2. Conclusions: There are biologically meaningful A beta-downstream effects in individuals with a low burden of A beta pathology, while structural and functional changes are still subtle or absent. These findings support considering individuals with a low burden of A beta pathology for clinical trials.
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| 9. |
- Mila-Aloma, M., et al.
(författare)
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Comparative Analysis of Different Definitions of Amyloid-beta Positivity to Detect Early Downstream Pathophysiological Alterations in Preclinical Alzheimer
- 2021
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Ingår i: Jpad-Journal of Prevention of Alzheimers Disease. - : SERDI. - 2274-5807. ; 8:1, s. 68-77
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Tidskriftsartikel (refereegranskat)abstract
- Amyloid-beta (A beta) positivity is defined using different biomarkers and different criteria. Criteria used in symptomatic patients may conceal meaningful early A beta pathology in preclinical Alzheimer. Therefore, the description of sensitive cutoffs to study the pathophysiological changes in early stages of the Alzheimer'scontinuumis critical. Here, we compare different A beta classification approaches and we show their performance in detecting pathophysiological changes downstream A beta pathology. We studied 368 cognitively unimpaired individuals of the ALFA+ study, many of whom in the preclinical stage of the Alzheimer'scontinuum.Participants underwent A beta PET and CSF biomarkers assessment. We classified participants as A beta -positive using five approaches: (1) CSF A beta 42 < 1098 pg/ml; (2) CSF A beta 42/40 < 0.071; (3) A beta PET Centiloid > 12; (4) A beta PET Centiloid > 30 or (5) A beta PET Positive visual read. We assessed the correlations between A beta biomarkers and compared the prevalence of A beta positivity. We determined which approach significantly detected associations between A beta pathology and tau/neurodegeneration CSF biomarkers. We found that CSF-based approaches result in a higher A beta-positive prevalence than PET-based ones. There was a higher number of discordant participants classified as CSF A beta-positive but PET A beta-negative than CSF A beta-negative but PET A beta-positive. The CSF A beta 42/40 approach allowed optimal detection of significant associations with CSF p-tau and t-tau in the A beta-positive group. Altogether, we highlight the need for sensitive A beta -classifications to study the preclinical Alzheimer'scontinuumApproaches that define A beta positivity based on optimal discrimination of symptomatic Alzheimer's disease patients may be suboptimal for the detection of early pathophysiological alterations in preclinical Alzheimer.
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| 10. |
- Rodriguez-Fernandez, B., et al.
(författare)
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Genetically predicted telomere length and Alzheimer's disease endophenotypes: a Mendelian randomization study
- 2022
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Ingår i: Alzheimers Research & Therapy. - : Springer Science and Business Media LLC. - 1758-9193. ; 14:1
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Tidskriftsartikel (refereegranskat)abstract
- Telomere length (TL) is associated with biological aging, consequently influencing the risk of age-related diseases such as Alzheimer's disease (AD). We aimed to evaluate the potential causal role of TL in AD endophenotypes (i.e., cognitive performance, N = 2233; brain age and AD-related signatures, N = 1134; and cerebrospinal fluid biomarkers (CSF) of AD and neurodegeneration, N = 304) through a Mendelian randomization (MR) analysis. Our analysis was conducted in the context of the ALFA (ALzheimer and FAmilies) study, a population of cognitively healthy individuals at risk of AD. A total of 20 single nucleotide polymorphisms associated with TL were used to determine the effect of TL on AD endophenotypes. Analyses were adjusted by age, sex, and years of education. Stratified analyses by APOE-epsilon 4 status and polygenic risk score of AD were conducted. MR analysis revealed significant associations between genetically predicted longer TL and lower levels of CSF A beta and higher levels of CSF NfL only in APOE-epsilon 4 non-carriers. Moreover, inheriting longer TL was associated with greater cortical thickness in age and AD-related brain signatures and lower levels of CSF p-tau among individuals at a high genetic predisposition to AD. Further observational analyses are warranted to better understand these associations.
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