Linking genetic, epidemiology and metabolic phenotyping in dementia in the context of aging, environment and lifestyle
Lead Research Organisation:
Imperial College London
Abstract
Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.
Technical Summary
The UK Dementia Research Institute (UK DRI) is an initiative funded by the Medical Research Council, Alzheimer's Society and Alzheimer's Research UK. Funding details for UK DRI programmes will be added in 2019.
Alzheimer’s disease (AD) is characterised by a prolonged pre-clinical phase involving Aß deposition but without the typical symptoms of cognitive impairment and frank dementia until relatively late on in the disease process. Though there is well described genetic predisposition to AD, most notably presence of the APOE e4 allele, known genetic factors to date explain only a small proportion of the variance in AD occurrence1. Little is known about the environmental, lifestyle and metabolic factors that, interacting with genetic background, determine who ultimately will go on to manifest clinical disease. Gaining knowledge of these risk factors is key to tackling the growing burden of AD, vascular and other dementias, as it offers the potential for lifestyle and preventive measures, and novel treatments, to delay or offset occurrence of clinical disease, with resultant gains in life expectancy and quality of life. This would be a major advance, since the current paradigm of diagnosis and treatment of overt disease is late, never-ending and largely
ineffective. Furthermore it is associated with poor quality of life, high burden for carers, and an ever
increasing cost for health services as the population ages. Reversing this trend by reducing the incidence and prevalence of dementia is an urgent priority.
Alzheimer’s disease (AD) is characterised by a prolonged pre-clinical phase involving Aß deposition but without the typical symptoms of cognitive impairment and frank dementia until relatively late on in the disease process. Though there is well described genetic predisposition to AD, most notably presence of the APOE e4 allele, known genetic factors to date explain only a small proportion of the variance in AD occurrence1. Little is known about the environmental, lifestyle and metabolic factors that, interacting with genetic background, determine who ultimately will go on to manifest clinical disease. Gaining knowledge of these risk factors is key to tackling the growing burden of AD, vascular and other dementias, as it offers the potential for lifestyle and preventive measures, and novel treatments, to delay or offset occurrence of clinical disease, with resultant gains in life expectancy and quality of life. This would be a major advance, since the current paradigm of diagnosis and treatment of overt disease is late, never-ending and largely
ineffective. Furthermore it is associated with poor quality of life, high burden for carers, and an ever
increasing cost for health services as the population ages. Reversing this trend by reducing the incidence and prevalence of dementia is an urgent priority.
Organisations
- Imperial College London, United Kingdom (Collaboration, Lead Research Organisation)
- University of Edinburgh, United Kingdom (Collaboration)
- UK Biobank, United Kingdom (Collaboration)
- Mayo Clinic (Collaboration)
- Ludwig-Maximilians-University Hospital (Collaboration)
- Kaiser Permanente Washington Health Research Institute (Collaboration)
- National Institute for Health and Welfare (Collaboration)
- Harvard University (Collaboration)
- University of Cambridge (Collaboration)
- Massachusetts Institute of Technology (Collaboration)
- Stanford University, United States (Collaboration)
- University of Wisconsin Madison, United States (Collaboration)
- University of Oxford, United Kingdom (Collaboration)
- Washington University in St. Louis (Collaboration)
- University of Leuven (Collaboration)
- Ludwig Maximilians University Munich (Collaboration)
- MRC Dementias Platform UK (Collaboration)
- University of Texas at San Antonio, United States (Collaboration)
- The University of Texas Health Science Center (Collaboration)
- Tohoku University Hospital (Collaboration)
- University of Oulu, Finland (Collaboration)
- National Institutes of Health, United States (Collaboration)
- University of North Carolina at Chapel Hill (Collaboration)
- University of Aberdeen, United Kingdom (Collaboration)
- Brunel University London, Uxbridge (Collaboration)
- Erasmus MC (Collaboration)
- University of Ioannina (Collaboration)
- King's College London, United Kingdom (Collaboration)
- Duke-NUS Graduate Medical School (Collaboration)
- University College London, United Kingdom (Collaboration)
- School of Medicine (Collaboration)
- Virginia Polytechnic Institute and State University (Virginia Tech) (Collaboration)
- University of Eastern Finland, Finland (Collaboration)
- University of Massachusetts Lowell, United States (Collaboration)
- Imperial College Healthcare NHS Trust (Collaboration)
- University of Bordeaux I, France (Collaboration)
- Queen Mary, University of London, United Kingdom (Collaboration)
- Cardiff University, United Kingdom (Collaboration)
- Genomics England (Collaboration)
- National Institute of Health and Medical Research (INSERM) (Collaboration)
- Great Ormond Street Hospital (GOSH) (Collaboration)
- Middlesex University, United Kingdom (Collaboration)
- Murdoch University (Collaboration)
- Vanderbilt University, United States (Collaboration)
- Karolinska Institute, Sweden (Collaboration)
- Broad Institute (Collaboration)
- Wake Forest University, United States (Collaboration)
- University of Toulouse III Paul Sabatier, France (Collaboration)
- VA Boston Healthcare System (Collaboration)
Publications
Al-Jafar R
(2021)
Effect of Religious Fasting in Ramadan on Blood Pressure: Results From LORANS (London Ramadan Study) and a Meta-Analysis.
in Journal of the American Heart Association
Bai W
(2020)
A population-based phenome-wide association study of cardiac and aortic structure and function
in Nature Medicine
Cai Y
(2017)
Long-term exposure to road traffic noise, ambient air pollution, and cardiovascular risk factors in the HUNT and lifelines cohorts.
in European heart journal
Cai Y
(2018)
Road traffic noise, air pollution and incident cardiovascular disease: A joint analysis of the HUNT, EPIC-Oxford and UK Biobank cohorts
in Environment International
Climaco Pinto R
(2018)
The Handbook of Metabolic Phenotyping
Davies B
(2021)
Community factors and excess mortality in first wave of the COVID-19 pandemic in England
in Nature Communications
Davies G
(2018)
Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function.
in Nature communications
De Las Fuentes L
(2021)
Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci.
in Molecular psychiatry
| Description | MRC Workshop on Supporting the development of future infrastructure for human phenotyping at depth and scale |
| Geographic Reach | National |
| Policy Influence Type | Membership of a guideline committee |
| Description | Uk Biobank Omics workshop - Determining opportunities and challenges of applying high throughut proteomic and metabolomic assays at scale in large population based prospective studies. |
| Geographic Reach | National |
| Policy Influence Type | Participation in a advisory committee |
| Description | Creating a national platform for molecular studies of multiple conditions: HDRUK multiomics consortium |
| Amount | £1,088,606 (GBP) |
| Funding ID | CFC0107 |
| Organisation | Health Data Research UK |
| Sector | Private |
| Country | United Kingdom |
| Start | 03/2020 |
| End | 03/2022 |
| Description | Harnessing diverse bioinformatics approaches to repurpose drugs for Alzheimer's disease |
| Amount | $92,234 (USD) |
| Funding ID | 1R56AG05063 |
| Organisation | National Institutes of Health (NIH) |
| Department | National Institute on Aging |
| Sector | Public |
| Country | United States |
| Start | 08/2017 |
| End | 08/2018 |
| Description | Identification of Metabolic Phenotypes and Systemic Biochemical Reaction Networks Associated with Human Blood Pressure |
| Amount | £331,486 (GBP) |
| Funding ID | MR/S004033/1 |
| Organisation | Medical Research Council (MRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 02/2018 |
| End | 02/2021 |
| Description | REACT Long COVID (REACT-LC) |
| Amount | £5,436,399 (GBP) |
| Funding ID | COV-LT-0040 |
| Organisation | National Institute for Health Research |
| Sector | Public |
| Country | United Kingdom |
| Start | 03/2023 |
| End | 02/2024 |
| Description | REACT-GE: Multi-omics to identify biological pathways underlying severity of SARS-CoV-2 infection |
| Amount | £2,125,587 (GBP) |
| Funding ID | MR/V030841/1 |
| Organisation | Medical Research Council (MRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 08/2020 |
| End | 06/2021 |
| Description | APoE polymorphisms project |
| Organisation | University of Aberdeen |
| Department | The Rowett Institute |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Expertise in metabolomics pathway data analysis |
| Collaborator Contribution | Use of metabolomics and lipidomics to understand underlying mechanisms of disease and experience in cell culture and animal studies |
| Impact | ongoing collaboration |
| Start Year | 2020 |
| Description | Air pollution and cognition project |
| Organisation | Imperial College London |
| Department | School of Public Health |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Epidemiological expertise, epidemiological cohort data |
| Collaborator Contribution | Air polllution modelling and measurement, in-depth knowledge of health impacts of ULEZ |
| Impact | Current grant collaboration |
| Start Year | 2020 |
| Description | Airwave and CCACE - Centre for Cognitive Ageing and Cognitive Epidemiology |
| Organisation | University of Edinburgh |
| Department | MRC Centre for Cognitive Ageing and Cognitive Epidemiology |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Data collection, data quality control and analysis and database management |
| Collaborator Contribution | Working with to enhancement baseline data collection with addition of questions on mental health and cognition to enable future analysis of work-related stressors |
| Impact | ongoing collaboration |
| Start Year | 2018 |
| Description | Airwave collaboration with DPUK - shift work and cognitive function |
| Organisation | MRC Dementias Platform UK |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Work on how disruption of circadian rhythms due to shift work may be associated with various health disorders including psychological health, bringing cohort data and epidemiological expertise to the collaboration |
| Collaborator Contribution | DPUK facilitates meta-analysis using data from various cohorts. |
| Impact | ongoing collaboration |
| Start Year | 2018 |
| Description | Airwave study - collaboration - mitochondrial disfunction project |
| Organisation | MRC Dementias Platform UK |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Work to assess cognitive function through analysis of Airwave cohort study blood samples - team brings data and statistical analysis skills |
| Collaborator Contribution | DPUK facilitates use of cohort data for epidemiological analysis |
| Impact | ongoing collaboration |
| Start Year | 2018 |
| Description | Alcohol intake and brain and cardiovascular structure project |
| Organisation | University of Ioannina |
| Department | Department of Hygiene and Epidemiology |
| Country | Greece |
| Sector | Academic/University |
| PI Contribution | Epidemiological expertise, effects of alcohol drinking on health |
| Collaborator Contribution | Expertise in GWAS and meta-analysis |
| Impact | manuscript under submission |
| Start Year | 2020 |
| Description | Alcohol intake and brain, cardiac, aortic and liver MRI |
| Organisation | Brunel University London |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Study concept and analytical supervision, critical review of data interpretation |
| Collaborator Contribution | Ioannina - GWAS analysis; drafting manuscript; Tohoku - data processing & statistical analysis |
| Impact | Paper published Evangelou E et al. eLife 2021 Jun 10:e65325 doi: 10.7554/eLife.65325. |
| Start Year | 2019 |
| Description | Alcohol intake and brain, cardiac, aortic and liver MRI |
| Organisation | Tohoku University Hospital |
| Country | Japan |
| Sector | Hospitals |
| PI Contribution | Study concept and analytical supervision, critical review of data interpretation |
| Collaborator Contribution | Ioannina - GWAS analysis; drafting manuscript; Tohoku - data processing & statistical analysis |
| Impact | Paper published Evangelou E et al. eLife 2021 Jun 10:e65325 doi: 10.7554/eLife.65325. |
| Start Year | 2019 |
| Description | Alcohol intake and brain, cardiac, aortic and liver MRI |
| Organisation | University of Ioannina |
| Department | Department of Hygiene and Epidemiology |
| Country | Greece |
| Sector | Academic/University |
| PI Contribution | Study concept and analytical supervision, critical review of data interpretation |
| Collaborator Contribution | Ioannina - GWAS analysis; drafting manuscript; Tohoku - data processing & statistical analysis |
| Impact | Paper published Evangelou E et al. eLife 2021 Jun 10:e65325 doi: 10.7554/eLife.65325. |
| Start Year | 2019 |
| Description | Alcohol-related genes and neuropsychiatric disorders |
| Organisation | King's College London |
| Department | Institute of Psychiatry, Psychology & Neuroscience |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Study design and concept; supervision of data analysis; epidemiological interpretation of data results; critical review of manuscript |
| Collaborator Contribution | Ioannina - GWAS analysis, drafting of paper; IOP KCL - expertise in health effects of alcohol consumption, and psychiatric disorders |
| Impact | Published paper Evangelou et al Nature Human Behaviour 2019 |
| Start Year | 2018 |
| Description | Alcohol-related genes and neuropsychiatric disorders |
| Organisation | University of Ioannina |
| Department | Department of Hygiene and Epidemiology |
| Country | Greece |
| Sector | Academic/University |
| PI Contribution | Study design and concept; supervision of data analysis; epidemiological interpretation of data results; critical review of manuscript |
| Collaborator Contribution | Ioannina - GWAS analysis, drafting of paper; IOP KCL - expertise in health effects of alcohol consumption, and psychiatric disorders |
| Impact | Published paper Evangelou et al Nature Human Behaviour 2019 |
| Start Year | 2018 |
| Description | Alzheimer's Disease risk loci - functional annotation |
| Organisation | Cardiff University |
| Department | School of Medicine |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Exploring collaboration on using multiplex modelling rechniques developed by the Cardiff research group for functional annotation of AD risk loci and understanding downstream mechanisms. |
| Collaborator Contribution | Recent work on single-cell sequencing of Dopamine neurons and related work is of interest to our DRI group and may have applications in the data sets that we are currently analysing. |
| Impact | new ongoing collaboration |
| Start Year | 2021 |
| Description | Aortic traits and cerebrovascular disease |
| Organisation | Duke-NUS Graduate Medical School |
| Department | Microbiology Duke-NUS |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | Knowledge of UK Biobank cardiac magnetic resonance imaging (CMR) and GWAS data analysis and Mendelian Randomization analytic approach. |
| Collaborator Contribution | NHLI - expertise in vascular biology (lead author), Bordeaux - brain imaging markers of cognitive decline and dementias, Texas - cerebrovascular disease, Duke NUS - genetic regulation of molecular pathways and gene networks. |
| Impact | Publication Francis C et al. 2021 MedRxiv https://doi.org/10.1101/2021.09.01.21262202 |
| Start Year | 2020 |
| Description | Aortic traits and cerebrovascular disease |
| Organisation | Imperial College London |
| Department | National Heart & Lung Institute (NHLI) |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Knowledge of UK Biobank cardiac magnetic resonance imaging (CMR) and GWAS data analysis and Mendelian Randomization analytic approach. |
| Collaborator Contribution | NHLI - expertise in vascular biology (lead author), Bordeaux - brain imaging markers of cognitive decline and dementias, Texas - cerebrovascular disease, Duke NUS - genetic regulation of molecular pathways and gene networks. |
| Impact | Publication Francis C et al. 2021 MedRxiv https://doi.org/10.1101/2021.09.01.21262202 |
| Start Year | 2020 |
| Description | Aortic traits and cerebrovascular disease |
| Organisation | National Institute of Health and Medical Research (INSERM) |
| Department | Bordeaux |
| Country | France |
| Sector | Public |
| PI Contribution | Knowledge of UK Biobank cardiac magnetic resonance imaging (CMR) and GWAS data analysis and Mendelian Randomization analytic approach. |
| Collaborator Contribution | NHLI - expertise in vascular biology (lead author), Bordeaux - brain imaging markers of cognitive decline and dementias, Texas - cerebrovascular disease, Duke NUS - genetic regulation of molecular pathways and gene networks. |
| Impact | Publication Francis C et al. 2021 MedRxiv https://doi.org/10.1101/2021.09.01.21262202 |
| Start Year | 2020 |
| Description | Aortic traits and cerebrovascular disease |
| Organisation | The University of Texas Health Science Center |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | Knowledge of UK Biobank cardiac magnetic resonance imaging (CMR) and GWAS data analysis and Mendelian Randomization analytic approach. |
| Collaborator Contribution | NHLI - expertise in vascular biology (lead author), Bordeaux - brain imaging markers of cognitive decline and dementias, Texas - cerebrovascular disease, Duke NUS - genetic regulation of molecular pathways and gene networks. |
| Impact | Publication Francis C et al. 2021 MedRxiv https://doi.org/10.1101/2021.09.01.21262202 |
| Start Year | 2020 |
| Description | BHF Imperial College Centre for Research Excellence - collaboration |
| Organisation | Imperial College London |
| Department | British Heart Foundation Centre of Research Excellence |
| Country | United Kingdom |
| Sector | Charity/Non Profit |
| PI Contribution | Expertise in applying 'big data' approaches to investigate shared genetic and non-genetic risk factors between cardiovascular and neurodegerative diseases |
| Collaborator Contribution | Expertise and potentially funding for geneticist with the DRI to investigate common pathways, and shared pathways to structural and functional effects on brain and heart/vasculature from imaging data |
| Impact | new collaboration |
| Start Year | 2020 |
| Description | Blood pressure traits project in UK Biobank and ICBP data |
| Organisation | Broad Institute |
| Country | United States |
| Sector | Charity/Non Profit |
| PI Contribution | UKB data acquisition; contributed cohort data to GWAS analysis, epidemiological interpretation of results, reviewed and edited manuscript |
| Collaborator Contribution | Ioannina - led GWAS analysis and drafted manuscript; Broad Inst - hosted data; QMUL - contributed ICBP data to analysis; critical data interpretation |
| Impact | Published paper Evangelou et al Nature Genetics 2018 and continuing collaboration |
| Start Year | 2018 |
| Description | Blood pressure traits project in UK Biobank and ICBP data |
| Organisation | Queen Mary University of London |
| Department | William Harvey Research Institute |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | UKB data acquisition; contributed cohort data to GWAS analysis, epidemiological interpretation of results, reviewed and edited manuscript |
| Collaborator Contribution | Ioannina - led GWAS analysis and drafted manuscript; Broad Inst - hosted data; QMUL - contributed ICBP data to analysis; critical data interpretation |
| Impact | Published paper Evangelou et al Nature Genetics 2018 and continuing collaboration |
| Start Year | 2018 |
| Description | Blood pressure traits project in UK Biobank and ICBP data |
| Organisation | University of Ioannina |
| Department | Department of Hygiene and Epidemiology |
| Country | Greece |
| Sector | Academic/University |
| PI Contribution | UKB data acquisition; contributed cohort data to GWAS analysis, epidemiological interpretation of results, reviewed and edited manuscript |
| Collaborator Contribution | Ioannina - led GWAS analysis and drafted manuscript; Broad Inst - hosted data; QMUL - contributed ICBP data to analysis; critical data interpretation |
| Impact | Published paper Evangelou et al Nature Genetics 2018 and continuing collaboration |
| Start Year | 2018 |
| Description | Brain ageing project |
| Organisation | Middlesex University |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Study design, developed methods, analysed and interpreted the data and PhD student drafted paper. |
| Collaborator Contribution | Expertise in machine learning and its interface with signal processing and high-dimensional statistics, Models and algorithms for learning from high-dimensional data. |
| Impact | PhD student thesis and paper. Kolbeinsson et al . doi:10.1038/s41598-020-76518-z |
| Start Year | 2020 |
| Description | CHARGE Consortium - collaboration - Cohorts for Heart and Aging Research in Genomic Epidemiology |
| Organisation | Erasmus MC |
| Country | Netherlands |
| Sector | Hospitals |
| PI Contribution | Contributing cohort data and epidemiological expertise, membership of steering committee and participated in scientific meetings, as part of joint collaboration and pooling of data for analysis. |
| Collaborator Contribution | Consortium facilitates genome wide association meta-analysis and replication opportunities among multiple large and well-phenotyped longitudinal cohort studies and brings knowledge and skills in neuroscience, dementias and age-related diseases |
| Impact | continuing collaboration and planned joint publications |
| Start Year | 2017 |
| Description | CHARGE Consortium - collaboration - Cohorts for Heart and Aging Research in Genomic Epidemiology |
| Organisation | Kaiser Permanente Washington Health Research Institute |
| Country | United States |
| Sector | Hospitals |
| PI Contribution | Contributing cohort data and epidemiological expertise, membership of steering committee and participated in scientific meetings, as part of joint collaboration and pooling of data for analysis. |
| Collaborator Contribution | Consortium facilitates genome wide association meta-analysis and replication opportunities among multiple large and well-phenotyped longitudinal cohort studies and brings knowledge and skills in neuroscience, dementias and age-related diseases |
| Impact | continuing collaboration and planned joint publications |
| Start Year | 2017 |
| Description | CHARGE Consortium - collaboration - Cohorts for Heart and Aging Research in Genomic Epidemiology |
| Organisation | National Institutes of Health (NIH) |
| Department | National Heart, Lung, and Blood Institute (NHLBI) |
| Country | United States |
| Sector | Public |
| PI Contribution | Contributing cohort data and epidemiological expertise, membership of steering committee and participated in scientific meetings, as part of joint collaboration and pooling of data for analysis. |
| Collaborator Contribution | Consortium facilitates genome wide association meta-analysis and replication opportunities among multiple large and well-phenotyped longitudinal cohort studies and brings knowledge and skills in neuroscience, dementias and age-related diseases |
| Impact | continuing collaboration and planned joint publications |
| Start Year | 2017 |
| Description | CHARGE Consortium - collaboration - Cohorts for Heart and Aging Research in Genomic Epidemiology |
| Organisation | National Institutes of Health (NIH) |
| Department | National Institute on Aging |
| Country | United States |
| Sector | Public |
| PI Contribution | Contributing cohort data and epidemiological expertise, membership of steering committee and participated in scientific meetings, as part of joint collaboration and pooling of data for analysis. |
| Collaborator Contribution | Consortium facilitates genome wide association meta-analysis and replication opportunities among multiple large and well-phenotyped longitudinal cohort studies and brings knowledge and skills in neuroscience, dementias and age-related diseases |
| Impact | continuing collaboration and planned joint publications |
| Start Year | 2017 |
| Description | CHARGE Consortium - collaboration - Cohorts for Heart and Aging Research in Genomic Epidemiology |
| Organisation | University of Massachusetts |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | Contributing cohort data and epidemiological expertise, membership of steering committee and participated in scientific meetings, as part of joint collaboration and pooling of data for analysis. |
| Collaborator Contribution | Consortium facilitates genome wide association meta-analysis and replication opportunities among multiple large and well-phenotyped longitudinal cohort studies and brings knowledge and skills in neuroscience, dementias and age-related diseases |
| Impact | continuing collaboration and planned joint publications |
| Start Year | 2017 |
| Description | Cardiff - ABCA7 modelling collaboration |
| Organisation | Cardiff University |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Metabolomics data analysis by the team and epidemiological and statistical skills to interpret the data |
| Collaborator Contribution | Working on a ABCA7 knockout fruit fly model to validate metabolomics findings |
| Impact | ongoing collaboration |
| Start Year | 2019 |
| Description | Ceramide metabolism project (ABCA7) |
| Organisation | Erasmus MC |
| Country | Netherlands |
| Sector | Hospitals |
| PI Contribution | Experience of conducting metabolome-wide association study (MWAS) of AD-associated loci from GWAS using metabolic profiling (metabolomics) |
| Collaborator Contribution | Geriatrics and specialist knowledge in AD and dementias (Karolinska), brain ageing and neuroepidemiology (Erasmus), cellular neuroscience (Mayo) |
| Impact | Publication by Dehghan A et al 2021 Medrxiv doi: https://doi.org/10.1101/2021.04.06.21254991 |
| Start Year | 2020 |
| Description | Ceramide metabolism project (ABCA7) |
| Organisation | Karolinska Institute |
| Department | Department of Clinical Neuroscience |
| Country | Sweden |
| Sector | Academic/University |
| PI Contribution | Experience of conducting metabolome-wide association study (MWAS) of AD-associated loci from GWAS using metabolic profiling (metabolomics) |
| Collaborator Contribution | Geriatrics and specialist knowledge in AD and dementias (Karolinska), brain ageing and neuroepidemiology (Erasmus), cellular neuroscience (Mayo) |
| Impact | Publication by Dehghan A et al 2021 Medrxiv doi: https://doi.org/10.1101/2021.04.06.21254991 |
| Start Year | 2020 |
| Description | Ceramide metabolism project (ABCA7) |
| Organisation | Karolinska Institute |
| Country | Sweden |
| Sector | Academic/University |
| PI Contribution | Epidemiological expertise, study design and methodology, experience of MWAS, samples from Airwave study |
| Collaborator Contribution | Expertise in metabolomics and interpretation of metabolomic signatures, mass spectrometry data (Murdoch); AD mechanisms (E Finland); samples from FINGER Trial (Karolinska) |
| Impact | Ongoing collaboration and paper for publication in preparation |
| Start Year | 2019 |
| Description | Ceramide metabolism project (ABCA7) |
| Organisation | Mayo Clinic |
| Department | Department of Neuroscience |
| Country | United States |
| Sector | Hospitals |
| PI Contribution | Experience of conducting metabolome-wide association study (MWAS) of AD-associated loci from GWAS using metabolic profiling (metabolomics) |
| Collaborator Contribution | Geriatrics and specialist knowledge in AD and dementias (Karolinska), brain ageing and neuroepidemiology (Erasmus), cellular neuroscience (Mayo) |
| Impact | Publication by Dehghan A et al 2021 Medrxiv doi: https://doi.org/10.1101/2021.04.06.21254991 |
| Start Year | 2020 |
| Description | Ceramide metabolism project (ABCA7) |
| Organisation | Murdoch University |
| Country | Australia |
| Sector | Academic/University |
| PI Contribution | Epidemiological expertise, study design and methodology, experience of MWAS, samples from Airwave study |
| Collaborator Contribution | Expertise in metabolomics and interpretation of metabolomic signatures, mass spectrometry data (Murdoch); AD mechanisms (E Finland); samples from FINGER Trial (Karolinska) |
| Impact | Ongoing collaboration and paper for publication in preparation |
| Start Year | 2019 |
| Description | Ceramide metabolism project (ABCA7) |
| Organisation | University of Eastern Finland |
| Country | Finland |
| Sector | Academic/University |
| PI Contribution | Epidemiological expertise, study design and methodology, experience of MWAS, samples from Airwave study |
| Collaborator Contribution | Expertise in metabolomics and interpretation of metabolomic signatures, mass spectrometry data (Murdoch); AD mechanisms (E Finland); samples from FINGER Trial (Karolinska) |
| Impact | Ongoing collaboration and paper for publication in preparation |
| Start Year | 2019 |
| Description | DRI - collaboration on alcohol genome wide association study |
| Organisation | King's College London |
| Department | Institute of Psychiatry, Psychology & Neuroscience |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Expertise in cohort data analysis and GWAS |
| Collaborator Contribution | Expertise in health effects of alcohol and in genetic epidemiology |
| Impact | in progress |
| Start Year | 2017 |
| Description | DRI - collaboration with ARIC study investigators - on neurocognitive study |
| Organisation | University of North Carolina at Chapel Hill |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | Expertise in population cohort studies |
| Collaborator Contribution | Study data and samples for analysis |
| Impact | in progress |
| Start Year | 2017 |
| Description | DRI - collaboration with CARDIA study investigators |
| Organisation | University of North Carolina at Chapel Hill |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | Expertise in metabolomics and molecular epidemiology |
| Collaborator Contribution | Study data and samples |
| Impact | in progress |
| Start Year | 2017 |
| Description | DRI - collaboration with FINGER study investigators |
| Organisation | Karolinska Institute |
| Country | Sweden |
| Sector | Academic/University |
| PI Contribution | Expertise in molecular epidemiology and metabolomics and metabolic phenotyping |
| Collaborator Contribution | FINGER Trial Study data and samples and expertise in neuroscience |
| Impact | in progress |
| Start Year | 2017 |
| Description | DRI - collaboration with FINGER study investigators |
| Organisation | National Institute for Health and Welfare |
| Country | Finland |
| Sector | Public |
| PI Contribution | Expertise in molecular epidemiology and metabolomics and metabolic phenotyping |
| Collaborator Contribution | FINGER Trial Study data and samples and expertise in neuroscience |
| Impact | in progress |
| Start Year | 2017 |
| Description | DRI - collaboration with MEMENTO investigators |
| Organisation | University of Bordeaux |
| Country | France |
| Sector | Academic/University |
| PI Contribution | Expertise in design and management of longitudinal epidemiological cohort studies |
| Collaborator Contribution | Expertise in investigation of biomarkers for Alzheimer's disease and related conditions |
| Impact | in progress |
| Start Year | 2017 |
| Description | DRI - collaboration with MESA study investigators |
| Organisation | Wake Forest University |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | Expertise in metabolomics and epidemiology |
| Collaborator Contribution | Has established Alzheimer's Disease Core Centre at Wake Forest with associated faculty and resources |
| Impact | in progress |
| Start Year | 2017 |
| Description | DRI - collaboration with UK Biobank |
| Organisation | UK Biobank |
| Country | United Kingdom |
| Sector | Charity/Non Profit |
| PI Contribution | Expertise in metabolomics analysis |
| Collaborator Contribution | UK Biobank data/samples |
| Impact | in progress |
| Start Year | 2017 |
| Description | Dopaminergic neurodegeneration and Parkinsons project |
| Organisation | National Institutes of Health (NIH) |
| Department | National Institute on Aging |
| Country | United States |
| Sector | Public |
| PI Contribution | Expertise in clinical pharmacology and therapeutics; and in quantitative genetics and genome analysis |
| Collaborator Contribution | Expertise in genomics, gene editing and drug repurposing. Experience in use of computational tools to analyse large human genetic datasets. |
| Impact | Publication Wainberg M et l 2021 MedRxiv doi: https://doi.org/10.1101/2020.05.06.20089748 |
| Start Year | 2020 |
| Description | Dopaminergic neurodegeneration and Parkinsons project |
| Organisation | Stanford University |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | Expertise in clinical pharmacology and therapeutics; and in quantitative genetics and genome analysis |
| Collaborator Contribution | Expertise in genomics, gene editing and drug repurposing. Experience in use of computational tools to analyse large human genetic datasets. |
| Impact | Publication Wainberg M et l 2021 MedRxiv doi: https://doi.org/10.1101/2020.05.06.20089748 |
| Start Year | 2020 |
| Description | Drug repurposing research project |
| Organisation | Harvard University |
| Department | Harvard T.H. Chan School of Public Health |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | Researching associations between currently approved drugs and risk of dementias as part of drug repurposing research programme |
| Collaborator Contribution | Harvard - knowledge of genetics of neuro-epidemiology and MIT - statistical modelling skills |
| Impact | ongoing collaboration |
| Start Year | 2019 |
| Description | Drug repurposing research project |
| Organisation | Massachusetts Institute of Technology |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | Researching associations between currently approved drugs and risk of dementias as part of drug repurposing research programme |
| Collaborator Contribution | Harvard - knowledge of genetics of neuro-epidemiology and MIT - statistical modelling skills |
| Impact | ongoing collaboration |
| Start Year | 2019 |
| Description | FINGER Trial collaboration - Association of metabolomics with cognition |
| Organisation | Karolinska Institute |
| Department | Department of Public Health Sciences |
| Country | Sweden |
| Sector | Academic/University |
| PI Contribution | Analysis of metabolomics data and data interpretation - based on data from the FINGER Trial made available by study partners |
| Collaborator Contribution | Data from the FINGER Trial and expertise in biomarkers for cognition |
| Impact | Work in progress aiming for paper for publication |
| Start Year | 2020 |
| Description | FINGER Trial collaboration - Association of metabolomics with cognition |
| Organisation | University of Ioannina |
| Department | Department of Hygiene and Epidemiology |
| Country | Greece |
| Sector | Academic/University |
| PI Contribution | Analysis of metabolomics data and data interpretation - based on data from the FINGER Trial made available by study partners |
| Collaborator Contribution | Data from the FINGER Trial and expertise in biomarkers for cognition |
| Impact | Work in progress aiming for paper for publication |
| Start Year | 2020 |
| Description | Gene and educational attainment and BP project |
| Organisation | University of Washington |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | Airwave cohort samples for genome-wide meta-analysis, data provision |
| Collaborator Contribution | Study design and conducted meta-analysis |
| Impact | Published paper de las Fuentes et al 2020 Mol Psychiatry |
| Start Year | 2019 |
| Description | Gene-smoking interactions and blood pressure |
| Organisation | University of Texas |
| Department | Health Science Center at Houston |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | Contributed Airwave cohort data, epidemiological data interpretation, critical review of manuscripts |
| Collaborator Contribution | conducted GWAS data analysis, Contributed data - multiple consortia |
| Impact | Published papers Sung Y et al Am J Hum Genetics 2018 and Sung Y et al Hum Mol Genetics 2019; |
| Start Year | 2018 |
| Description | Gene-smoking interactions and blood pressure |
| Organisation | Washington University School of Medicine |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | Contributed Airwave cohort data, epidemiological data interpretation, critical review of manuscripts |
| Collaborator Contribution | conducted GWAS data analysis, Contributed data - multiple consortia |
| Impact | Published papers Sung Y et al Am J Hum Genetics 2018 and Sung Y et al Hum Mol Genetics 2019; |
| Start Year | 2018 |
| Description | Genetic predisposition to higher BP and risk of stroke |
| Organisation | Ludwig Maximilian University of Munich (LMU Munich) |
| Country | Germany |
| Sector | Academic/University |
| PI Contribution | Experience of GWAS analysis of UK Biobank and ICBP data and expertise in the application of Mendelian Randomization analytic techniques. |
| Collaborator Contribution | Knowledge of cerebral small vessel disease and stroke sub-types and associations with dementias (lead author - Ludwig-Maximilians), role of antithrombotic drugs in preventing stroke, differences between stroke subtypes, and genes that influence stroke (Edinburgh), cerebrovascular physiology and risk of stroke (Oxford). |
| Impact | Publication Georgiakis et al Neurology 2020 Jul 28; 95(4): e353-e361. |
| Start Year | 2020 |
| Description | Genetic predisposition to higher BP and risk of stroke |
| Organisation | University of Edinburgh |
| Department | Institute of Genetics & Molecular Medicine |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Experience of GWAS analysis of UK Biobank and ICBP data and expertise in the application of Mendelian Randomization analytic techniques. |
| Collaborator Contribution | Knowledge of cerebral small vessel disease and stroke sub-types and associations with dementias (lead author - Ludwig-Maximilians), role of antithrombotic drugs in preventing stroke, differences between stroke subtypes, and genes that influence stroke (Edinburgh), cerebrovascular physiology and risk of stroke (Oxford). |
| Impact | Publication Georgiakis et al Neurology 2020 Jul 28; 95(4): e353-e361. |
| Start Year | 2020 |
| Description | Genetic predisposition to higher BP and risk of stroke |
| Organisation | University of Oxford |
| Department | Nuffield Department of Clinical Neurosciences |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Experience of GWAS analysis of UK Biobank and ICBP data and expertise in the application of Mendelian Randomization analytic techniques. |
| Collaborator Contribution | Knowledge of cerebral small vessel disease and stroke sub-types and associations with dementias (lead author - Ludwig-Maximilians), role of antithrombotic drugs in preventing stroke, differences between stroke subtypes, and genes that influence stroke (Edinburgh), cerebrovascular physiology and risk of stroke (Oxford). |
| Impact | Publication Georgiakis et al Neurology 2020 Jul 28; 95(4): e353-e361. |
| Start Year | 2020 |
| Description | Inflammatory pathways project |
| Organisation | Imperial College London |
| Department | Department of Metabolism, Digestion and Reproduction |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Epidemiological expertise, metabolomics data interpretation |
| Collaborator Contribution | Expertise in inflammatory lipidomics |
| Impact | ongoing collaboration |
| Start Year | 2019 |
| Description | Inflammatory pathways project |
| Organisation | University College London |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Epidemiological expertise, metabolomics data interpretation |
| Collaborator Contribution | Expertise in inflammatory lipidomics |
| Impact | ongoing collaboration |
| Start Year | 2019 |
| Description | KU Leuven - APOE collaboration |
| Organisation | University of Leuven |
| Country | Belgium |
| Sector | Academic/University |
| PI Contribution | Metabolomics data analysis and statistical and epidemiological skills to interpret the data |
| Collaborator Contribution | Laboratory facilities to follow up and validate metabolomics findings in APOE knockout models and skills to interpret the results |
| Impact | ongoing collaboration |
| Start Year | 2019 |
| Description | Metabolic markers of cognitive change in the FINGER trial |
| Organisation | Karolinska Institute |
| Country | Sweden |
| Sector | Academic/University |
| PI Contribution | Skills and expertise in epidemiological and metabolomics analysis, modelling and interpretation of results for identification of metabolic biomarkers associated with cognitive function and later life health outcomes. |
| Collaborator Contribution | Providing data from the FINGER clinical trial and expertise in dementias and ageing research. |
| Impact | ongoing collaboration |
| Start Year | 2019 |
| Description | Metabolic markers of cognitive change in the FINGER trial |
| Organisation | National Institute for Health and Welfare |
| Country | Finland |
| Sector | Public |
| PI Contribution | Skills and expertise in epidemiological and metabolomics analysis, modelling and interpretation of results for identification of metabolic biomarkers associated with cognitive function and later life health outcomes. |
| Collaborator Contribution | Providing data from the FINGER clinical trial and expertise in dementias and ageing research. |
| Impact | ongoing collaboration |
| Start Year | 2019 |
| Description | Metabolomic and epigenetic ageing project |
| Organisation | University of Oulu |
| Department | Biocenter Oulu |
| Country | Finland |
| Sector | Academic/University |
| PI Contribution | Study concept and design, data curation and analysis, AIRWAVE data acquisition, drafted paper |
| Collaborator Contribution | Data and metabolomic analysis of NFBC cohort |
| Impact | Published paper Robinson O et al. Ageing Cell doi: 10.1111/acel.13149 |
| Start Year | 2020 |
| Description | Methods development - identification of correspondence between metabolomics features in similar LC-MS datasets |
| Organisation | Erasmus MC |
| Country | Netherlands |
| Sector | Hospitals |
| PI Contribution | Analysis and integration of datasets from study partners and data interpretation of annotated metabolomics features. Aim to develop freely available software for dissemination. |
| Collaborator Contribution | Contributing individual datasets for analysis and comparison e.g. from Rotterdam Study. |
| Impact | Paper under revision with scientific journal |
| Start Year | 2020 |
| Description | Methods development - identification of correspondence between metabolomics features in similar LC-MS datasets |
| Organisation | Great Ormond Street Hospital (GOSH) |
| Country | United Kingdom |
| Sector | Hospitals |
| PI Contribution | Analysis and integration of datasets from study partners and data interpretation of annotated metabolomics features. Aim to develop freely available software for dissemination. |
| Collaborator Contribution | Contributing individual datasets for analysis and comparison e.g. from Rotterdam Study. |
| Impact | Paper under revision with scientific journal |
| Start Year | 2020 |
| Description | Methods development - identification of correspondence between metabolomics features in similar LC-MS datasets |
| Organisation | Wake Forest University |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | Analysis and integration of datasets from study partners and data interpretation of annotated metabolomics features. Aim to develop freely available software for dissemination. |
| Collaborator Contribution | Contributing individual datasets for analysis and comparison e.g. from Rotterdam Study. |
| Impact | Paper under revision with scientific journal |
| Start Year | 2020 |
| Description | Multi-omic blood pressure GWAS study |
| Organisation | VA Boston Healthcare System |
| Department | Massachusetts Veterans Epidemiology Research and Information Center |
| Country | United States |
| Sector | Public |
| PI Contribution | Expertise in blood pressure GWAS analysis and UK Biobank data; epidemiological interpretation of data analysis results |
| Collaborator Contribution | Project coordination, GWAS analysis |
| Impact | Published paper Giri et al Nature Genetics 2019 |
| Start Year | 2019 |
| Description | Multi-omic blood pressure GWAS study |
| Organisation | Vanderbilt University |
| Department | Vanderbilt Medical Center |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | Expertise in blood pressure GWAS analysis and UK Biobank data; epidemiological interpretation of data analysis results |
| Collaborator Contribution | Project coordination, GWAS analysis |
| Impact | Published paper Giri et al Nature Genetics 2019 |
| Start Year | 2019 |
| Description | Multi-omics pathway analysis |
| Organisation | University of Cambridge |
| Department | Cambridge Systems Biology Centre (CSBC) |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Analysis of multi-omic datasets and multivariate statistical analysis. |
| Collaborator Contribution | Expertise in metaboloimics and lipidomics and use of animal models |
| Impact | Publication by Marcia-Segura M et al MedRxiv 2021 doi: https://doi.org/10.1101/2021.05.10.21255052 |
| Start Year | 2020 |
| Description | Novel method for proteomics and metabolomics analysis of biological samples |
| Organisation | Virginia Polytechnique Institute and State University |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | Metabolomics statistical analysis, development of data processing methodology |
| Collaborator Contribution | Access to MESA cohort dataset; project concept and supervision |
| Impact | Publication Wu et al Bioinformatics 2020 |
| Start Year | 2019 |
| Description | Novel method for proteomics and metabolomics analysis of biological samples |
| Organisation | Wake Forest University |
| Department | Wake Forest School of Medicine |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | Metabolomics statistical analysis, development of data processing methodology |
| Collaborator Contribution | Access to MESA cohort dataset; project concept and supervision |
| Impact | Publication Wu et al Bioinformatics 2020 |
| Start Year | 2019 |
| Description | REACT-Genomics England project |
| Organisation | Genomics England |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | Data and resources from the REACT COVID-19 project and epidemiological expertise |
| Collaborator Contribution | Data and resources and expertise from the GenoMICC Consortium |
| Impact | Grant recently active and project recruiting |
| Start Year | 2020 |
| Description | Serum metabolic signatures of coronary and carotid atherosclerosis |
| Organisation | Paul Sabatier University (University of Toulouse III) |
| Country | France |
| Sector | Academic/University |
| PI Contribution | Study supervision; expertise in interpretation of metabolomic data |
| Collaborator Contribution | Project data from cohort studies and advice on clinical aspects of atherosclerosis and cardiovascular disease |
| Impact | Published paper Tzoulaki et al European Heart Journal 2019 |
| Start Year | 2018 |
| Description | Serum metabolic signatures of coronary and carotid atherosclerosis |
| Organisation | University of Ioannina |
| Department | Department of Hygiene and Epidemiology |
| Country | Greece |
| Sector | Academic/University |
| PI Contribution | Study supervision; expertise in interpretation of metabolomic data |
| Collaborator Contribution | Project data from cohort studies and advice on clinical aspects of atherosclerosis and cardiovascular disease |
| Impact | Published paper Tzoulaki et al European Heart Journal 2019 |
| Start Year | 2018 |
| Description | Serum metabolic signatures of coronary and carotid atherosclerosis |
| Organisation | Wake Forest University |
| Department | Wake Forest School of Medicine |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | Study supervision; expertise in interpretation of metabolomic data |
| Collaborator Contribution | Project data from cohort studies and advice on clinical aspects of atherosclerosis and cardiovascular disease |
| Impact | Published paper Tzoulaki et al European Heart Journal 2019 |
| Start Year | 2018 |
| Description | Stanford - collaboration |
| Organisation | Stanford University |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | Working on examination of drugs for treatment of ADHD and risk of neurodegenerative diseases, bringing skills in genetic epidemiology, genome-wide association data analysis and interpretation |
| Collaborator Contribution | Expertise in developing statistical methods and computational tools for analysis of large human genetic data |
| Impact | ongoing |
| Start Year | 2019 |
| Description | Stroke and dementias project |
| Organisation | Ludwig-Maximilians-University Hospital |
| Country | Germany |
| Sector | Hospitals |
| PI Contribution | Data acquisition and analysis and interpretation |
| Collaborator Contribution | Expertise in stroke cerebral small vessel disease, cardiovascular genetics, Mendelian randomization & epidemiology |
| Impact | Published paper Georgakis et al Neurology doi: 10.1212/WNL.0000000000009814 |
| Start Year | 2020 |
| Description | UK DRI Wisconsin collaboration |
| Organisation | University of Wisconsin-Madison |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | Expertise in metabolomics analysis and cardio-metabolic health risk factors |
| Collaborator Contribution | Potential contribution of data from the Wisconsin Registry for Alzheimer's Prevention cohort study and expertise in analysis of clinical patient data and geriatric research. |
| Impact | ongoing collaboration |
| Start Year | 2019 |
| Description | UK DRI and CHARIOT patient register collaboration |
| Organisation | Imperial College Healthcare NHS Trust |
| Country | United Kingdom |
| Sector | Hospitals |
| PI Contribution | Expertise in epidemiology of patient cohorts and metabolomics and genome wide association studies |
| Collaborator Contribution | Data collection in the CHARIOT patient register and expertise in elderly/geriatric clinical epidemiology and diseases of later life including dementias. |
| Impact | new ongoing collaboration |
| Start Year | 2020 |
| Description | UKB 18545 - Health effects of high blood pressure on brain function and microstructure |
| Organisation | Imperial College London |
| Department | MRC London Institute of Medical Sciences |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Epidemiological expertise for data analysis and knowledge of UK Biobank cohort |
| Collaborator Contribution | Expertise in cardiac imaging and neuroscience |
| Impact | previous output of this collaboration was Suzuki H et al. PLoS One 2017. Nov 16;12(11):e0187600. doi: 10.1371/journal.pone.0187600 next paper in preparation |
| Start Year | 2019 |
| Description | Alzheimer's Society Round Table discussion on Air pollution and Dementia - invited participation |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Invitation to contribute to round table discussion which aimed to debate the current scientific evidence with a view to informing the Society's position on the topic. |
| Year(s) Of Engagement Activity | 2019 |
| Description | Conference poster presentation - Metabolomics Society Conference June 2021 |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Poster presentation on Integration and Visualisation of Multiple Metabolomics Datasets with UMAP. Development of UMAP technique to integrate and harmonize metabolomics features identified by multiple different platforms and sources- stimulated discussion and interest in new methods for data visualisation. |
| Year(s) Of Engagement Activity | 2021 |
| Description | Conference presentation to 2021 Alzheimer's Society International Conference (virtual) |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Presentation on Metabolomics analysis of the Finnish Geriatric Intervention Study to prevent cognitive impairment and disability (FINGER) part of our UK DRI collaboration. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://alz.confex.com/alz/2021/meetingapp.cgi/Paper/56390 |
| Description | Invited oral presentation at British Cardiac Society Annual Conference 2019 |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Presentation on "Exploiting the metabolome in cardiovascular disease" talking about how using metabolic profiling on epidemiology and clinical data offers new opportunities to discover causes and mechanisms of disease and identify new biomarkers for diseases. Audience was attending the British Heart Foundation Bench-to-Bedside: Towards New Treatments and Biomarkers session and included clinicians, academics, patient group organisations and students, and there was a moderated questions session at the end. |
| Year(s) Of Engagement Activity | 2019 |
| Description | Neurofilaments as a biomarker - Workshop |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | On Friday 16 November 2018, over 50 speakers and delegates attended a workshop convened by Professor Paul Matthews (Imperial College London) and Professor Henrik Zetterberg (UCL) at 58 Prince's Gate, South Kensington, London. The workshop, sponsored by Biogen, was a huge success with excellent engagement and discussion throughout the day. |
| Year(s) Of Engagement Activity | 2018 |
| URL | https://www.imperial.ac.uk/dementia-research-institute/seminars--events/past-events/neurofilaments-a... |
| Description | Neurology press release on Huang et al - media reporting |
| Form Of Engagement Activity | A press release, press conference or response to a media enquiry/interview |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Media (as a channel to the public) |
| Results and Impact | Huang et al publication in Neurology 2020 was selected for an accompanying press release. The paper reported work on the relationship of sleeping patterns with an increased risk of dementia in people with a higher genetic risk of the condition. This led to international media interest e.g. reported by various outlets including Alzheimers Research UK and Evening Standard. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://www.alzheimersresearchuk.org/morning-people-linked-higher-alzheimers-risk/ |
| Description | Oral presentation to national UKDRI Connectome Conference 2020 - Dr Rui Pinto - team member |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Presentation on "The role of ceramide metabolism in cognitive decline and Alzheimer's disease: A metabolome-wide association analysis on ABCA7", major focus of our team research. Received comments and critiques of the work which will help with further data analysis and research direction. Reslt of collaboration with Airwave, Rotterdam and FINGER Trial research groups. |
| Year(s) Of Engagement Activity | 2020 |
| Description | Presentation to 15th Annual Conference of The Metabolomics Society, June 23-27 2019, The Hague, NL |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Presented methods and results of work on a new cross-cohort matching in untargeted metabolomics to generate accurate within-dataset feature matching across multiple cohorts. The new approach addresses a key problem in metabolomics studies and promises to make analysis of large untargeted multi-cohort data sets a viable option. |
| Year(s) Of Engagement Activity | 2019 |
| URL | http://metabolomics2019.org/images/2019-Metabolomics_Abstract_9.pdf |
| Description | Seminar - Does innate immunity contribute to Alzheimer's disease? |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Professor Michael T Heneka Department of Neurodegenerative Disease and Geriatric Psychiatry, University of Bonn Gave a talk titled 'Does innate immunity contribute to Alzheimer's disease?' 13.30 - 14.30 Thursday 4 October 2018 Seminar Room 1, Wolfson Education Centre, Hammersmith Campus Accumulation of neurotoxic amyloid-ß peptides along with neurofibrillary tangle formation represent key pathological hallmarks in Alzheimer's disease (AD). Despite the brain being viewed as an immune privileged organ, increasing evidence from translational, genetic and pathological studies suggests that activation of distinct innate immune pathways represents a third important component, which, once initiated, actively contributes to disease progression and chronicity. Microglia play a pivotal role in this immune response and are activated by binding of aggregated proteins or aberrant nucleic acids to pattern recognition receptors. This immune activation leads to the release of inflammatory mediators but also distracts microglia cells from their physiological functions and tasks. NLRP3 inflammasome activation and release of ASC specks contribute to spreading of pathology and impairs microglia clearance mechanisms together contributing to neuronal degeneration and spatial memory deficits. In keeping with this, inhibition of this immune pathways shows protection in cellular and murine models of AD. Modulation of the microglia driven innate immune response at key signalling steps may therefore provide protection and may alter progression of disease. Therefore, anti-inflammatory treatment strategies should be considered. Data on microglial activation in AD along with suggestions to modify and alter the pro- into an anti-inflammatory phenotype will be reviewed and discussed. |
| Year(s) Of Engagement Activity | 2018 |
| URL | https://www.imperial.ac.uk/dementia-research-institute/seminars--events/past-events/ |
| Description | Seminar - Signalling pathways to degeneration |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Professor Giles Hardingham Associate Director, UK Dementia Research Institute at The University of Edinburgh gave a presentation titled Signalling pathways to degeneration and resilience in the CNS at 12.30 - 13.30 Wednesday 14 November 2018 Seminar Rooms 4/5, Wolfson Education Centre,Hammersmith Campus. Professor Hardingham's research group focuses on signalling events within and between neurons and glia, and how these interactions shape brain development and homeostasis as well as drive pathological cascades. |
| Year(s) Of Engagement Activity | 2018 |
| URL | https://www.imperial.ac.uk/media/imperial-college/research-centres-and-groups/uk-dri/Seminar-poster-... |
| Description | UK DRI 'Big Data & Dementia Research' Workshop |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Brainstorming and networking event with participants from many fields with aim of fostering cross-disciplinary collaboration |
| Year(s) Of Engagement Activity | 2020 |
| Description | UK DRI Connectome Annual Conference (Virtual) 2020 - post-doc presentation |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Presentation on behalf of the Elliott Imperial DRI research group on ceramide metabolism and role in onset AD - raised interesting discussion with fellow delegates |
| Year(s) Of Engagement Activity | 2020 |
| Description | UK Dementia Research Institute at Imperial College London Special Seminars |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Professional Practitioners |
| Results and Impact | Dr Katie Lunnon Associate Professor in Epigenetics, University of Exeter Medical School Gave a presentation Titled Epigenetics Mechanisms in Alzheimer's Disease from 12.30 - 13.30 Wednesday 30 January 2019 at Seminar room 10B, sub-basement, Commonwealth Building Hammersmith Campus |
| Year(s) Of Engagement Activity | 2018 |
| URL | https://www.imperial.ac.uk/dementia-research-institute/seminars--events/past-events/ |