The Lancet Countdown: tracking progress on health and climate change was established to provide an independent, global monitoring system dedicated to tracking the health dimensions of the impacts of, and the response to, climate change. The Lancet Countdown tracks 41 indicators across five domains: climate change impacts, exposures, and vulnerability; adaptation, planning, and resilience for health; mitigation actions and health co-benefits; finance and economics; and public and political engagement. This report is the product of a collaboration of 27 leading academic institutions, the UN, and intergovernmental agencies from every continent. The report draws on world-class expertise from climate scientists, ecologists, mathematicians, geographers, engineers, energy, food, livestock, and transport experts, economists, social and political scientists, public health professionals, and. doctors. The Lancet Countdown's work builds on decades of research in this field, and was first proposed in the 2015 Lancet Commission on health and climate change,1 which documented the human impacts of climate change and provided ten global recommendations to respond to this public health emergency and secure the public health benefits available (panel 1).
The Lancet Countdown: tracking progress on health and climate change was established to provide an independent, global monitoring system dedicated to tracking the health dimensions of the impacts of, and the response to, climate change. The Lancet Countdown tracks 41 indicators across five domains: climate change impacts, exposures, and vulnerability; adaptation, planning, and resilience for health; mitigation actions and health co-benefits; finance and economics; and public and political engagement.
WOS: 000393031600001 ; PubMed ID: 27939304 ; Background: The potential for global collaborations to better inform public health policy regarding major non-hypercholesterolaemia (FH), a common genetic disorder associated with premature cardiovascular disease, is yet to be reliably ascertained using similar approaches. The European Atherosclerosis Society FH Studies Collaboration (EAS FHSC) is a new initiative of international stakeholders which will help establish a global FH registry to generate large-scale, robust data on the burden of FH worldwide. Methods: The EAS FHSC will maximise the potential exploitation of currently available and future FH data (retrospective and prospective) by bringing together regional/national/international data sources with access to individuals with a clinical and/or genetic diagnosis of heterozygous or homozygous FH. A novel bespoke electronic platform and FH Data Warehouse will be developed to allow secure data sharing, validation, cleaning, pooling, harmonisation and analysis irrespective of the source or format. Standard statistical procedures will allow us to investigate cross-sectional associations, patterns of real-world practice, trends over time, and analyse risk and outcomes (e.g. cardiovascular outcomes, all-cause death), accounting for potential confounders and subgroup effects. Conclusions: The EAS FHSC represents an excellent opportunity to integrate individual efforts across the world to tackle the global burden of FH. The information garnered from the registry will help reduce gaps in knowledge, inform best practices, assist in clinical trials design, support clinical guidelines and policies development, and ultimately improve the care of FH patients. (C) 2016 Elsevier Ireland Ltd. ; Pfizer Independent Grant for Learning Change [16157823]; AmgenAmgen; MSD; Sanofi-AventisSanofi-Aventis; Latvian State Research Programme BIOMEDICINE; Czech RepublicCzech Republic Government [MZ CR AZV 15-28277A, 16-29084A] ; The present project has received support from a Pfizer Independent Grant for Learning & Change 2014 (No: 16157823) and from investigator initiated unrestricted research grants to the European Atherosclerosis Society from Amgen, MSD, and Sanofi-Aventis. The project in Latvia was supported by the Latvian State Research Programme BIOMEDICINE. The project in Czech Republic was partly supported by grants MZ CR AZV 15-28277A and 16-29084A.
The Lancet Countdown is an international collaboration established to provide an independent, global monitoring system dedicated to tracking the emerging health profile of the changing climate. The 2020 report presents 43 indicators across five sections: climate change impacts, exposures, and vulnerabilities; adaptation, planning, and resilience for health; mitigation actions and health co-benefits; economics and finance; and public and political engagement. This report represents the findings and consensus of the 35 leading academic institutions and UN agencies that make up The Lancet Countdown, and draws on the expertise of climate scientists, geographers, engineers, experts in energy, food, and transport, economists, social, and political scientists, data scientists, public health professionals, and doctors.
In: Gao , Y , Wang , T , Yu , X , Ferrari , R , Hernandez , D G , Nalls , M A , Rohrer , J D , Ramasamy , A , Kwok , J B J , Dobson-Stone , C , Brooks , W S , Schofield , P R , Halliday , G M , Hodges , J R , Piguet , O , Bartley , L , Thompson , E , Haan , E , Hernández , I , Ruiz , A , Boada , M , Borroni , B , Padovani , A , Cruchaga , C , Cairns , N J , Benussi , L , Binetti , G , Ghidoni , R , Forloni , G , Albani , D , Galimberti , D , Fenoglio , C , Serpente , M , Scarpini , E , Clarimón , J , Lleó , A , Blesa , R , Waldö , M L , Nilsson , K , Nilsson , C , Mackenzie , I R A , Hsiung , G Y R , Mann , D M A , Grafman , J , Morris , C M , Attems , J , Griffiths , T D , McKeith , I G , Thomas , A J , Pietrini , P , Huey , E D , Wassermann , E M , Baborie , A , Jaros , E , Tierney , M C , Pastor , P , Razquin , C , Ortega-Cubero , S , Alonso , E , Perneczky , R , Diehl-Schmid , J , Alexopoulos , P , Kurz , A , Rainero , I , Rubino , E , Pinessi , L , Rogaeva , E , George-Hyslop , P S , Rossi , G , Tagliavini , F , Giaccone , G , Rowe , J B , Schlachetzki , J C M , Uphill , J , Collinge , J , Mead , S , Danek , A , Van Deerlin , V M , Grossman , M , Trojanowski , J Q , van der Zee , J , Cruts , M , Van Broeckhoven , C , Cappa , S F , Leber , I , Hannequin , D , Golfier , V , Vercelletto , M , Brice , A , Nacmias , B , Sorbi , S , Bagnoli , S , Piaceri , I , Nielsen , J E , Hjermind , L E , Riemenschneider , M , Mayhaus , M , Ibach , B , Gasparoni , G , Pichler , S , Gu , W , Rossor , M N , Fox , N C , Warren , J D , Spillantini , M G , Morris , H R , Rizzu , P , Heutink , P , Snowden , J S , Rollinson , S , Richardson , A , Gerhard , A , Bruni , A C , Maletta , R , Frangipane , F , Cupidi , C , Bernardi , L , Anfossi , M , Gallo , M , Conidi , M E , Smirne , N , Rademakers , R , Baker , M , Dickson , D W , Graff-Radford , N R , Petersen , R C , Knopman , D , Josephs , K A , Boeve , B F , Parisi , J E , Seeley , W W , Miller , B L , Karydas , A M , Rosen , H , van Swieten , J C , Dopper , E G P , Seelaar , H , Pijnenburg , Y A L , Scheltens , P , Logroscino , G , Capozzo , R , Novelli , V , Puca , A A , Franceschi , M , Postiglione , A , Milan , G , Sorrentino , P , Kristiansen , M , Chiang , H H , Graff , C , Pasquier , F , Rollin , A , Deramecourt , V , Lebouvier , T , Kapogiannis , D , Ferrucci , L , Pickering-Brown , S , Singleton , A B , Hardy , J , Momeni , P , Zhao , H , Zeng , P & International FTD-Genomics Consortium (IFGC) 2020 , ' Mendelian randomization implies no direct causal association between leukocyte telomere length and amyotrophic lateral sclerosis ' , Scientific Reports , vol. 10 , no. 1 , 12184 . https://doi.org/10.1038/s41598-020-68848-9
We employed Mendelian randomization (MR) to evaluate the causal relationship between leukocyte telomere length (LTL) and amyotrophic lateral sclerosis (ALS) with summary statistics from genome-wide association studies (n = ~ 38,000 for LTL and ~ 81,000 for ALS in the European population; n = ~ 23,000 for LTL and ~ 4,100 for ALS in the Asian population). We further evaluated mediation roles of lipids in the pathway from LTL to ALS. The odds ratio per standard deviation decrease of LTL on ALS was 1.10 (95% CI 0.93–1.31, p = 0.274) in the European population and 0.75 (95% CI 0.53–1.07, p = 0.116) in the Asian population. This null association was also detected between LTL and frontotemporal dementia in the European population. However, we found that an indirect effect of LTL on ALS might be mediated by low density lipoprotein (LDL) or total cholesterol (TC) in the European population. These results were robust against extensive sensitivity analyses. Overall, our MR study did not support the direct causal association between LTL and the ALS risk in neither population, but provided suggestive evidence for the mediation role of LDL or TC on the influence of LTL and ALS in the European population.
The Lancet Countdown is an international collaboration established to provide an independent, global monitoring system dedicated to tracking the emerging health profile of the changing climate. The 2020 report presents 43 indicators across five sections: climate change impacts, exposures, and vulnerabilities; adaptation, planning, and resilience for health; mitigation actions and health co-benefits; economics and finance; and public and political engagement. This report represents the findings and consensus of the 35 leading academic institutions and UN agencies that make up The Lancet Countdown, and draws on the expertise of climate scientists, geographers, engineers, experts in energy, food, and transport, economists, social, and political scientists, data scientists, public health professionals, and doctors.
WOS: 000445908000037 ; PubMed ID: 30270054 ; Background and aims: Management of familial hypercholesterolaemia (FH) may vary across different settings due to factors related to population characteristics, practice, resources and/or policies. We conducted a survey among the worldwide network of EAS FHSC Lead Investigators to provide an overview of FH status in different countries. Methods: Lead Investigators from countries formally involved in the EAS FHSC by mid-May 2018 were invited to provide a brief report on FH status in their countries, including available information, programmes, initiatives, and management. Results: 63 countries provided reports. Data on FH prevalence are lacking in most countries. Where available, data tend to align with recent estimates, suggesting a higher frequency than that traditionally considered. Low rates of FH detection are reported across all regions. National registries and education programmes to improve FH awareness/knowledge are a recognised priority, but funding is often lacking. In most countries, diagnosis primarily relies on the Dutch Lipid Clinics Network criteria. Although available in many countries, genetic testing is not widely implemented (frequent cost issues). There are only a few national official government programmes for FH. Under-treatment is an issue. FH therapy is not universally reimbursed. PCSK9-inhibitors are available in similar to 2/3 countries. Lipoprotein-apheresis is offered in similar to 60% countries, although access is limited. Conclusions: FH is a recognised public health concern. Management varies widely across countries, with overall suboptimal identification and under-treatment. Efforts and initiatives to improve FH knowledge and management are underway, including development of national registries, but support, particularly from health authorities, and better funding are greatly needed. ; Pfizer Independent Grant for Learning Change 2014 [16157823]; AmgenAmgen; MSD; Sanofi-AventisSanofi-Aventis ; The EAS FHSC project has received support from a Pfizer Independent Grant for Learning & Change 2014 (No: 16157823) and from investigator-initiated unrestricted research grants to the European Atherosclerosis Society from Amgen, MSD, and Sanofi-Aventis.
Background and aims: Management of familial hypercholesterolaemia (FH) may vary across different settings due to factors related to population characteristics, practice, resources and/or policies. We conducted a survey among the worldwide network of EAS FHSC Lead Investigators to provide an overview of FH status in different countries. Methods: Lead Investigators from countries formally involved in the EAS FHSC by mid-May 2018 were invited to provide a brief report on FH status in their countries, including available information, programmes, initiatives, and management. Results: 63 countries provided reports. Data on FH prevalence are lacking in most countries. Where available, data tend to align with recent estimates, suggesting a higher frequency than that traditionally considered. Low rates of FH detection are reported across all regions. National registries and education programmes to improve FH awareness/knowledge are a recognised priority, but funding is often lacking. In most countries, diagnosis primarily relies on the Dutch Lipid Clinics Network criteria. Although available in many countries, genetic testing is not widely implemented (frequent cost issues). There are only a few national official government programmes for FH. Under-treatment is an issue. FH therapy is not universally reimbursed. PCSK9-inhibitors are available in similar to 2/3 countries. Lipoprotein-apheresis is offered in similar to 60% countries, although access is limited. Conclusions: FH is a recognised public health concern. Management varies widely across countries, with overall suboptimal identification and under-treatment. Efforts and initiatives to improve FH knowledge and management are underway, including development of national registries, but support, particularly from health authorities, and better funding are greatly needed.
Leukocyte telomere length (LTL) is a heritable biomarker of genomic aging. In this study, we perform a genome-wide meta-analysis of LTL by pooling densely genotyped and imputed association results across large-scale European-descent studies including up to 78,592 individuals. We identify 49 genomic regions at a false dicovery rate (FDR) 350,000 UK Biobank participants suggest that genetically shorter telomere length increases the risk of hypothyroidism and decreases the risk of thyroid cancer, lymphoma, and a range of proliferative conditions. Our results replicate previously reported associations with increased risk of coronary artery disease and lower risk for multiple cancer types. Our findings substantially expand current knowledge on genes that regulate LTL and their impact on human health and disease. ; The ENGAGE Project was funded under the European Union Framework 7 – Health Theme (HEALTH-F4-2007- 201413). The InterAct project received funding from the European Union (Integrated Project LSHM-CT-2006-037197 in the Framework Programme 6 of the European Community). The EPIC-CVD study was supported by core funding from the UK Medical Research Council (MR/L003120/1), the British Heart Foundation (RG/13/13/30194; RG/18/13/33946), the European Commission Framework Programme 7 (HEALTH-F2-2012-279233), and the National Institute for Health Research [Cambridge Biomedical Research Centre at the Cambridge University Hospitals NHS Foundation Trust]. C.P.N is funded by the BHF. V.C., C.P.N. and N.J.S. are supported by the NIHR Leicester Cardiovascular Biomedical Research Centre and N.J.S. holds an NIHR Senior Investigator award. Chen Li is support by a 4-year Wellcome Trust PhD Studentship; CL, LAL, NJW are funded by the Medical Research Council (MC_UU_12015/1). NJW is an NIHR Senior Investigator. JD is funded by the National Institute for Health Research [Senior Investigator Award]. Cohort specific and further acknowledgements are given in the Supplemental Data.
In: De Leoz , M L A , Duewer , D L , Fung , A , Liu , L , Yau , H K , Potter , O , Staples , G O , Furuki , K , Frenkel , R , Hu , Y , Sosic , Z , Zhang , P , Altmann , F , Gru Nwald-Grube , C , Shao , C , Zaia , J , Evers , W , Pengelley , S , Suckau , D , Wiechmann , A , Resemann , A , Jabs , W , Beck , A , Froehlich , J W , Huang , C , Li , Y , Liu , Y , Sun , S , Wang , Y , Seo , Y , An , H J , Reichardt , N C , Ruiz , J E , Archer-Hartmann , S , Azadi , P , Bell , L , Lakos , Z , An , Y , Cipollo , J F , Pucic-Bakovic , M , Štambuk , J , Lauc , G , Li , X , Wang , P G , Bock , A , Hennig , R , Rapp , E , Creskey , M , Cyr , T D , Nakano , M , Sugiyama , T , Leung , P K A , Link-Lenczowski , P , Jaworek , J , Yang , S , Zhang , H , Kelly , T , Klapoetke , S , Cao , R , Kim , J Y , Lee , H K , Lee , J Y , Yoo , J S , Kim , S R , Suh , S K , de Haan , N , Falck , D , Lageveen-Kammeijer , G S M , Wuhrer , M , Emery , R J , Kozak , R P , Liew , L P , Royle , L , Urbanowicz , P A , Packer , N H , Song , X , Everest-Dass , A , Lattová , E , Cajic , S , Alagesan , K , Kolarich , D , Kasali , T , Lindo , V , Chen , Y , Goswami , K , Gau , B , Amunugama , R , Jones , R , Stroop , C J M , Kato , K , Yagi , H , Kondo , S , Yuen , C T , Harazono , A , Shi , X , Magnelli , P E , Kasper , B T , Mahal , L , Harvey , D J , O'Flaherty , R , Rudd , P M , Saldova , R , Hecht , E S , Muddiman , D C , Kang , J , Bhoskar , P , Menard , D , Saati , A , Merle , C , Mast , S , Tep , S , Truong , J , Nishikaze , T , Sekiya , S , Shafer , A , Funaoka , S , Toyoda , M , de Vreugd , P , Caron , C , Pradhan , P , Tan , N C , Mechref , Y , Patil , S , Rohrer , J S , Chakrabarti , R , Dadke , D , Lahori , M , Zou , C , Cairo , C , Reiz , B , Whittal , R M , Lebrilla , C B , Wu , L , Guttman , A , Szigeti , M , Kremkow , B G , Lee , K H , Sihlbom , C , Adamczyk , B , Jin , C , Karlsson , N G , Örnros , J , Larson , G , Nilsson , J , Meyer , B , Wiegandt , A , Komatsu , E , Perreault , H , Bodnar , E D , Said , N , Francois , Y N , Leize-Wagner , E , Maier , S , Zeck , A , Heck , A J R , Yang , Y , Haselberg , R , Yu , Y Q , Alley , W , Leone , J W , Yuan , H & Stein , S E 2020 , ' NIST Interlaboratory Study on Glycosylation Analysis of Monoclonal Antibodies : Comparison of Results from Diverse Analytical Methods ' , MCP : Molecular & cellular proteomics , vol. 19 , no. 1 , pp. 11-30 . https://doi.org/10.1074/mcp.RA119.001677
Glycosylation is a topic of intense current interest in the development of biopharmaceuticals because it is related to drug safety and efficacy. This work describes results of an interlaboratory study on the glycosylation of the Primary Sample (PS) of NISTmAb, a monoclonal antibody reference material. Seventy-six laboratories from industry, university, research, government, and hospital sectors in Europe, North America, Asia, and Australia submitted a total of 103 reports on glycan distributions. The principal objective of this study was to report and compare results for the full range of analytical methods presently used in the glycosylation analysis of mAbs. Therefore, participation was unrestricted, with laboratories choosing their own measurement techniques. Protein glycosylation was determined in various ways, including at the level of intact mAb, protein fragments, glycopeptides, or released glycans, using a wide variety of methods for derivatization, separation, identification, and quantification. Consequently, the diversity of results was enormous, with the number of glycan compositions identified by each laboratory ranging from 4 to 48. In total, one hundred sixteen glycan compositions were reported, of which 57 compositions could be assigned consensus abundance values. These consensus medians provide community-derived values for NISTmAb PS. Agreement with the consensus medians did not depend on the specific method or laboratory type. The study provides a view of the current state-of-the-art for biologic glycosylation measurement and suggests a clear need for harmonization of glycosylation analysis methods.