Project acronym 2-3-AUT
Project Surfaces, 3-manifolds and automorphism groups
Researcher (PI) Nathalie Wahl
Host Institution (HI) KOBENHAVNS UNIVERSITET
Country Denmark
Call Details Starting Grant (StG), PE1, ERC-2009-StG
Summary The scientific goal of the proposal is to answer central questions related to diffeomorphism groups of manifolds of dimension 2 and 3, and to their deformation invariant analogs, the mapping class groups. While the classification of surfaces has been known for more than a century, their automorphism groups have yet to be fully understood. Even less is known about diffeomorphisms of 3-manifolds despite much interest, and the objects here have only been classified recently, by the breakthrough work of Perelman on the Poincar\'e and geometrization conjectures. In dimension 2, I will focus on the relationship between mapping class groups and topological conformal field theories, with applications to Hochschild homology. In dimension 3, I propose to compute the stable homology of classifying spaces of diffeomorphism groups and mapping class groups, as well as study the homotopy type of the space of diffeomorphisms. I propose moreover to establish homological stability theorems in the wider context of automorphism groups and more general families of groups. The project combines breakthrough methods from homotopy theory with methods from differential and geometric topology. The research team will consist of 3 PhD students, and 4 postdocs, which I will lead.
Summary
The scientific goal of the proposal is to answer central questions related to diffeomorphism groups of manifolds of dimension 2 and 3, and to their deformation invariant analogs, the mapping class groups. While the classification of surfaces has been known for more than a century, their automorphism groups have yet to be fully understood. Even less is known about diffeomorphisms of 3-manifolds despite much interest, and the objects here have only been classified recently, by the breakthrough work of Perelman on the Poincar\'e and geometrization conjectures. In dimension 2, I will focus on the relationship between mapping class groups and topological conformal field theories, with applications to Hochschild homology. In dimension 3, I propose to compute the stable homology of classifying spaces of diffeomorphism groups and mapping class groups, as well as study the homotopy type of the space of diffeomorphisms. I propose moreover to establish homological stability theorems in the wider context of automorphism groups and more general families of groups. The project combines breakthrough methods from homotopy theory with methods from differential and geometric topology. The research team will consist of 3 PhD students, and 4 postdocs, which I will lead.
Max ERC Funding
724 992 €
Duration
Start date: 2009-11-01, End date: 2014-10-31
Project acronym aCROBAT
Project Circadian Regulation Of Brown Adipose Thermogenesis
Researcher (PI) Zachary Philip Gerhart-Hines
Host Institution (HI) KOBENHAVNS UNIVERSITET
Country Denmark
Call Details Starting Grant (StG), LS4, ERC-2014-STG
Summary Obesity and diabetes have reached pandemic proportions and new therapeutic strategies are critically needed. Brown adipose tissue (BAT), a major source of heat production, possesses significant energy-dissipating capacity and therefore represents a promising target to use in combating these diseases. Recently, I discovered a novel link between circadian rhythm and thermogenic stress in the control of the conserved, calorie-burning functions of BAT. Circadian and thermogenic signaling to BAT incorporates blood-borne hormonal and nutrient cues with direct neuronal input. Yet how these responses coordinately shape BAT energy-expending potential through the regulation of cell surface receptors, metabolic enzymes, and transcriptional effectors is still not understood. My primary goal is to investigate this previously unappreciated network of crosstalk that allows mammals to effectively orchestrate daily rhythms in BAT metabolism, while maintaining their ability to adapt to abrupt changes in energy demand. My group will address this question using gain and loss-of-function in vitro and in vivo studies, newly-generated mouse models, customized physiological phenotyping, and cutting-edge advances in next generation RNA sequencing and mass spectrometry. Preliminary, small-scale validations of our methodologies have already yielded a number of novel candidates that may drive key facets of BAT metabolism. Additionally, we will extend our circadian and thermogenic studies into humans to evaluate the translational potential. Our results will advance the fundamental understanding of how daily oscillations in bioenergetic networks establish a framework for the anticipation of and adaptation to environmental challenges. Importantly, we expect that these mechanistic insights will reveal pharmacological targets through which we can unlock evolutionary constraints and harness the energy-expending potential of BAT for the prevention and treatment of obesity and diabetes.
Summary
Obesity and diabetes have reached pandemic proportions and new therapeutic strategies are critically needed. Brown adipose tissue (BAT), a major source of heat production, possesses significant energy-dissipating capacity and therefore represents a promising target to use in combating these diseases. Recently, I discovered a novel link between circadian rhythm and thermogenic stress in the control of the conserved, calorie-burning functions of BAT. Circadian and thermogenic signaling to BAT incorporates blood-borne hormonal and nutrient cues with direct neuronal input. Yet how these responses coordinately shape BAT energy-expending potential through the regulation of cell surface receptors, metabolic enzymes, and transcriptional effectors is still not understood. My primary goal is to investigate this previously unappreciated network of crosstalk that allows mammals to effectively orchestrate daily rhythms in BAT metabolism, while maintaining their ability to adapt to abrupt changes in energy demand. My group will address this question using gain and loss-of-function in vitro and in vivo studies, newly-generated mouse models, customized physiological phenotyping, and cutting-edge advances in next generation RNA sequencing and mass spectrometry. Preliminary, small-scale validations of our methodologies have already yielded a number of novel candidates that may drive key facets of BAT metabolism. Additionally, we will extend our circadian and thermogenic studies into humans to evaluate the translational potential. Our results will advance the fundamental understanding of how daily oscillations in bioenergetic networks establish a framework for the anticipation of and adaptation to environmental challenges. Importantly, we expect that these mechanistic insights will reveal pharmacological targets through which we can unlock evolutionary constraints and harness the energy-expending potential of BAT for the prevention and treatment of obesity and diabetes.
Max ERC Funding
1 497 008 €
Duration
Start date: 2015-05-01, End date: 2020-10-31
Project acronym ADAPT
Project Origins and factors governing adaptation: Insights from experimental evolution and population genomic data
Researcher (PI) Thomas, Martin Jean Bataillon
Host Institution (HI) AARHUS UNIVERSITET
Country Denmark
Call Details Starting Grant (StG), LS8, ERC-2012-StG_20111109
Summary "I propose a systematic study of the type of genetic variation enabling adaptation and factors that limit rates of adaptation in natural populations. New methods will be developed for analysing data from experimental evolution and population genomics. The methods will be applied to state of the art data from both fields. Adaptation is generated by natural selection sieving through heritable variation. Examples of adaptation are available from the fossil record and from extant populations. Genomic studies have supplied many instances of genomic regions exhibiting footprint of natural selection favouring new variants. Despite ample proof that adaptation happens, we know little about beneficial mutations– the raw stuff enabling adaptation. Is adaptation mediated by genetic variation pre-existing in the population, or by variation supplied de novo through mutations? We know even less about what factors limit rates of adaptation. Answers to these questions are crucial for Evolutionary Biology, but also for believable quantifications of the evolutionary potential of populations. Population genetic theory makes predictions and allows inference from the patterns of polymorphism within species and divergence between species. Yet models specifying the fitness effects of mutations are often missing. Fitness landscape models will be mobilized to fill this gap and develop methods for inferring the distribution of fitness effects and factors governing rates of adaptation. Insights into the processes underlying adaptation will thus be gained from experimental evolution and population genomics data. The applicability of insights gained from experimental evolution to comprehend adaptation in nature will be scrutinized. We will unite two very different approaches for studying adaptation. The project will boost our understanding of how selection shapes genomes and open the way for further quantitative tests of theories of adaptation."
Summary
"I propose a systematic study of the type of genetic variation enabling adaptation and factors that limit rates of adaptation in natural populations. New methods will be developed for analysing data from experimental evolution and population genomics. The methods will be applied to state of the art data from both fields. Adaptation is generated by natural selection sieving through heritable variation. Examples of adaptation are available from the fossil record and from extant populations. Genomic studies have supplied many instances of genomic regions exhibiting footprint of natural selection favouring new variants. Despite ample proof that adaptation happens, we know little about beneficial mutations– the raw stuff enabling adaptation. Is adaptation mediated by genetic variation pre-existing in the population, or by variation supplied de novo through mutations? We know even less about what factors limit rates of adaptation. Answers to these questions are crucial for Evolutionary Biology, but also for believable quantifications of the evolutionary potential of populations. Population genetic theory makes predictions and allows inference from the patterns of polymorphism within species and divergence between species. Yet models specifying the fitness effects of mutations are often missing. Fitness landscape models will be mobilized to fill this gap and develop methods for inferring the distribution of fitness effects and factors governing rates of adaptation. Insights into the processes underlying adaptation will thus be gained from experimental evolution and population genomics data. The applicability of insights gained from experimental evolution to comprehend adaptation in nature will be scrutinized. We will unite two very different approaches for studying adaptation. The project will boost our understanding of how selection shapes genomes and open the way for further quantitative tests of theories of adaptation."
Max ERC Funding
1 159 857 €
Duration
Start date: 2013-04-01, End date: 2018-03-31
Project acronym AUTONORMS
Project Transforming Norms Research through Practices: Weaponised Artificial Intelligence, Norms, and Order
Researcher (PI) Ingvild BODE
Host Institution (HI) SYDDANSK UNIVERSITET
Country Denmark
Call Details Starting Grant (StG), SH2, ERC-2019-STG
Summary Weapons systems with an increasing number of autonomous features are emerging as revolutionary technologies of war. In particular, this concerns systems with autonomy in their critical functions that relate to selecting and engaging targets without human input. This weaponisation of Artificial Intelligence (AI) signals the looming absence of meaningful human control in warfare, which has become a central focus of the debate on autonomous weapons systems (AWS). Here, states either seek to introduce new norms governing AWS or to leave the field open in order to increase their room of manoeuvre. These uncertainties make monitoring to what extent AWS will shape and transform international norms governing the use of force a matter of great importance. But existing International Relations research on norms despite producing excellent critical work does not yet enable us to understand the dynamics of this vital process because it does not capture adequately how norms emerge and develop. The state of the art conceptually connects norms predominantly to international law and limits attention to how norms emerge in deliberative international forums. Instead, the AUTONORMS project will develop a new ground-breaking theoretical approach that allows us to study how norms, understood as standards of appropriateness, manifest and change in practices. Taking this bottom-up perspective, we will monitor norm emergence and change across four contexts of practices (military, transnational political, dual-use, and popular imagination) in four countries (USA, China, Japan, Russia). This flexible portrayal allows us to adequately understand how norms related to AWS will develop, as well as considering the impact such emerging norms have on the current international security order of which norms are constitutive building blocs. The project thus provides an innovative analytical model for studying uncertain processes of technological innovation associated with the AI revolution.
Summary
Weapons systems with an increasing number of autonomous features are emerging as revolutionary technologies of war. In particular, this concerns systems with autonomy in their critical functions that relate to selecting and engaging targets without human input. This weaponisation of Artificial Intelligence (AI) signals the looming absence of meaningful human control in warfare, which has become a central focus of the debate on autonomous weapons systems (AWS). Here, states either seek to introduce new norms governing AWS or to leave the field open in order to increase their room of manoeuvre. These uncertainties make monitoring to what extent AWS will shape and transform international norms governing the use of force a matter of great importance. But existing International Relations research on norms despite producing excellent critical work does not yet enable us to understand the dynamics of this vital process because it does not capture adequately how norms emerge and develop. The state of the art conceptually connects norms predominantly to international law and limits attention to how norms emerge in deliberative international forums. Instead, the AUTONORMS project will develop a new ground-breaking theoretical approach that allows us to study how norms, understood as standards of appropriateness, manifest and change in practices. Taking this bottom-up perspective, we will monitor norm emergence and change across four contexts of practices (military, transnational political, dual-use, and popular imagination) in four countries (USA, China, Japan, Russia). This flexible portrayal allows us to adequately understand how norms related to AWS will develop, as well as considering the impact such emerging norms have on the current international security order of which norms are constitutive building blocs. The project thus provides an innovative analytical model for studying uncertain processes of technological innovation associated with the AI revolution.
Max ERC Funding
1 499 759 €
Duration
Start date: 2020-08-01, End date: 2025-07-31
Project acronym BOSADMIX
Project Genetic admixture and its impact on domestication in the Bos genus: a model for genetic improvement of livestock
Researcher (PI) Rasmus Heller
Host Institution (HI) KOBENHAVNS UNIVERSITET
Country Denmark
Call Details Starting Grant (StG), LS8, ERC-2019-STG
Summary Background
Genetic exchange across species boundaries is emerging as a much more common phenomenon than previously assumed. This introduces potentially adaptive genetic variation into recipient populations. Such interspecies admixture is believed to have played an important role in domestication events, particularly in members of the Bos genus, which uniquely harbours no fewer than five independently domesticated lineages. Understanding these independent, yet reticulated evolutionary events is of fundamental interest for managing the genetic resources of domestic and wild bovids.
Objectives
I propose to investigate the role of interspecies admixture in domestication through four linked topics. The first is to systematically map the interspecies admixture among seven Asian Bos species, and to determine whether introgressed elements have been beneficial to the recipient populations. The second is to identify genes that have been under strong selection in each independent domestication process. The third is to link adaptively introgressed genomic elements with phenotypic effects. The fourth will address the future of genetic resources in all Asian Bos.
Methods
The project will bring together a large set of complete genomes and use a combination of population genetic and comparative genomic methods. Phenotypic data and experiments will be performed to validate the phenotypic effects of key introgressed elements and genes under selection during the domestication process.
Expected outcome and importance
The project will improve our understanding of the evolutionary dynamics of genetic elements that cross the species barrier, in particular the interplay between admixture and the domestication process. It will also provide important insights into the domestication process itself. A joint understanding of these processes is crucial for assessing which types of foreign genetic elements that can be useful for genetic improvement of domestic species.
Summary
Background
Genetic exchange across species boundaries is emerging as a much more common phenomenon than previously assumed. This introduces potentially adaptive genetic variation into recipient populations. Such interspecies admixture is believed to have played an important role in domestication events, particularly in members of the Bos genus, which uniquely harbours no fewer than five independently domesticated lineages. Understanding these independent, yet reticulated evolutionary events is of fundamental interest for managing the genetic resources of domestic and wild bovids.
Objectives
I propose to investigate the role of interspecies admixture in domestication through four linked topics. The first is to systematically map the interspecies admixture among seven Asian Bos species, and to determine whether introgressed elements have been beneficial to the recipient populations. The second is to identify genes that have been under strong selection in each independent domestication process. The third is to link adaptively introgressed genomic elements with phenotypic effects. The fourth will address the future of genetic resources in all Asian Bos.
Methods
The project will bring together a large set of complete genomes and use a combination of population genetic and comparative genomic methods. Phenotypic data and experiments will be performed to validate the phenotypic effects of key introgressed elements and genes under selection during the domestication process.
Expected outcome and importance
The project will improve our understanding of the evolutionary dynamics of genetic elements that cross the species barrier, in particular the interplay between admixture and the domestication process. It will also provide important insights into the domestication process itself. A joint understanding of these processes is crucial for assessing which types of foreign genetic elements that can be useful for genetic improvement of domestic species.
Max ERC Funding
1 499 275 €
Duration
Start date: 2020-02-01, End date: 2025-01-31
Project acronym C-MORPH
Project Noninvasive cell specific morphometry in neuroinflammation and degeneration
Researcher (PI) Henrik LUNDELL
Host Institution (HI) REGION HOVEDSTADEN
Country Denmark
Call Details Starting Grant (StG), LS7, ERC-2018-STG
Summary Brain structure determines function. Disentangling regional microstructural properties and understanding how these properties constitute brain function is a central goal of neuroimaging of the human brain and a key prerequisite for a mechanistic understanding of brain diseases and their treatment. Using magnetic resonance (MR) imaging, previous research has established links between regional brain microstructure and inter-individual variation in brain function, but this line of research has been limited by the non-specificity of MR-derived markers. This hampers the application of MR imaging as a tool to identify specific fingerprints of the underlying disease process.
Exploiting state-of-the-art ultra-high field MR imaging techniques, I have recently developed two independent spectroscopic MR methods that have the potential to tackle this challenge: Powder averaged diffusion weighted spectroscopy (PADWS) can provide an unbiased marker for cell specific structural degeneration, and Spectrally tuned gradient trajectories (STGT) can isolate cell shape and size. In this project, I will harness these innovations for MR-based precision medicine. I will advance PADWS and STGT methodology on state-of-the-art MR hardware and harvest the synergy of these methods to realize Cell-specific in-vivo MORPHOMETRY (C-MORPH) of the intact human brain. I will establish novel MR read-outs and analyses to derive cell-type specific tissue properties in the healthy and diseased brain and validate them with the help of a strong translational experimental framework, including histological validation. Once validated, the experimental methods and analyses will be simplified and adapted to provide clinically applicable tools. This will push the frontiers of MR-based personalized medicine, guiding therapeutic decisions by providing sensitive probes of cell-specific microstructural changes caused by inflammation, neurodegeneration or treatment response.
Summary
Brain structure determines function. Disentangling regional microstructural properties and understanding how these properties constitute brain function is a central goal of neuroimaging of the human brain and a key prerequisite for a mechanistic understanding of brain diseases and their treatment. Using magnetic resonance (MR) imaging, previous research has established links between regional brain microstructure and inter-individual variation in brain function, but this line of research has been limited by the non-specificity of MR-derived markers. This hampers the application of MR imaging as a tool to identify specific fingerprints of the underlying disease process.
Exploiting state-of-the-art ultra-high field MR imaging techniques, I have recently developed two independent spectroscopic MR methods that have the potential to tackle this challenge: Powder averaged diffusion weighted spectroscopy (PADWS) can provide an unbiased marker for cell specific structural degeneration, and Spectrally tuned gradient trajectories (STGT) can isolate cell shape and size. In this project, I will harness these innovations for MR-based precision medicine. I will advance PADWS and STGT methodology on state-of-the-art MR hardware and harvest the synergy of these methods to realize Cell-specific in-vivo MORPHOMETRY (C-MORPH) of the intact human brain. I will establish novel MR read-outs and analyses to derive cell-type specific tissue properties in the healthy and diseased brain and validate them with the help of a strong translational experimental framework, including histological validation. Once validated, the experimental methods and analyses will be simplified and adapted to provide clinically applicable tools. This will push the frontiers of MR-based personalized medicine, guiding therapeutic decisions by providing sensitive probes of cell-specific microstructural changes caused by inflammation, neurodegeneration or treatment response.
Max ERC Funding
1 498 811 €
Duration
Start date: 2018-12-01, End date: 2023-11-30
Project acronym CASe
Project Combinatorics with an analytic structure
Researcher (PI) Karim ADIPRASITO
Host Institution (HI) KOBENHAVNS UNIVERSITET
Country Denmark
Call Details Starting Grant (StG), PE1, ERC-2016-STG
Summary "Combinatorics, and its interplay with geometry, has fascinated our ancestors as shown by early stone carvings in the Neolithic period. Modern combinatorics is motivated by the ubiquity of its structures in both pure and applied mathematics.
The work of Hochster and Stanley, who realized the relation of enumerative questions to commutative algebra and toric geometry made a vital contribution to the development of this subject. Their work was a central contribution to the classification of face numbers of simple polytopes, and the initial success lead to a wealth of research in which combinatorial problems were translated to algebra and geometry and then solved using deep results such as Saito's hard Lefschetz theorem. As a caveat, this also made branches of combinatorics reliant on algebra and geometry to provide new ideas.
In this proposal, I want to reverse this approach and extend our understanding of geometry and algebra guided by combinatorial methods. In this spirit I propose new combinatorial approaches to the interplay of curvature and topology, to isoperimetry, geometric analysis, and intersection theory, to name a few. In addition, while these subjects are interesting by themselves, they are also designed to advance classical topics, for example, the diameter of polyhedra (as in the Hirsch conjecture), arrangement theory (and the study of arrangement complements), Hodge theory (as in Grothendieck's standard conjectures), and realization problems of discrete objects (as in Connes embedding problem for type II factors).
This proposal is supported by the review of some already developed tools, such as relative Stanley--Reisner theory (which is equipped to deal with combinatorial isoperimetries), combinatorial Hodge theory (which extends the ``K\""ahler package'' to purely combinatorial settings), and discrete PDEs (which were used to construct counterexamples to old problems in discrete geometry)."
Summary
"Combinatorics, and its interplay with geometry, has fascinated our ancestors as shown by early stone carvings in the Neolithic period. Modern combinatorics is motivated by the ubiquity of its structures in both pure and applied mathematics.
The work of Hochster and Stanley, who realized the relation of enumerative questions to commutative algebra and toric geometry made a vital contribution to the development of this subject. Their work was a central contribution to the classification of face numbers of simple polytopes, and the initial success lead to a wealth of research in which combinatorial problems were translated to algebra and geometry and then solved using deep results such as Saito's hard Lefschetz theorem. As a caveat, this also made branches of combinatorics reliant on algebra and geometry to provide new ideas.
In this proposal, I want to reverse this approach and extend our understanding of geometry and algebra guided by combinatorial methods. In this spirit I propose new combinatorial approaches to the interplay of curvature and topology, to isoperimetry, geometric analysis, and intersection theory, to name a few. In addition, while these subjects are interesting by themselves, they are also designed to advance classical topics, for example, the diameter of polyhedra (as in the Hirsch conjecture), arrangement theory (and the study of arrangement complements), Hodge theory (as in Grothendieck's standard conjectures), and realization problems of discrete objects (as in Connes embedding problem for type II factors).
This proposal is supported by the review of some already developed tools, such as relative Stanley--Reisner theory (which is equipped to deal with combinatorial isoperimetries), combinatorial Hodge theory (which extends the ``K\""ahler package'' to purely combinatorial settings), and discrete PDEs (which were used to construct counterexamples to old problems in discrete geometry)."
Max ERC Funding
1 337 200 €
Duration
Start date: 2016-12-01, End date: 2022-05-31
Project acronym CHILDGROWTH2CANCER
Project Childhood body size, growth and pubertal timing and the risk of cancer in adulthood
Researcher (PI) Jennifer Lyn Baker
Host Institution (HI) REGION HOVEDSTADEN
Country Denmark
Call Details Starting Grant (StG), LS7, ERC-2011-StG_20101109
Summary The goal of the proposed research is to examine how the independent and combined effects of childhood adiposity (assessed by body mass index [BMI]; kg/m2) height, change in BMI and height, and pubertal timing from the ages of 7 to 13 years are associated with the risk of cancer incidence in adulthood. Greater body size (adipose tissue and different types of lean tissue) reflecting past or ongoing growth may increase the risk of cancer in individuals as greater numbers of proliferating cells increase the risk that mutations leading to the subsequent development of cancer occur. As childhood is a period of growth, it is plausible that it is of particular relevance for the early establishment of the risk of cancer.
Data from the Copenhagen School Health Records Register, which is based on a population of schoolchildren born between 1930-1983 and contains computerised weight and height measurements on >350.000 boys and girls in the capital city of Denmark, as well as data from other cohorts will be used. Survival analysis techniques and the newly developed Dynamic Path Analysis model will be used to examine how body size (BMI and height) at each age from 7 to 13 years as well as change in body size during this period is associated with the risk of multiple forms of cancer in adulthood with a simultaneous exploration of the effects of birth weight and pubertal timing. Additionally, potential effects of childhood and adult health and social circumstances will be investigated in sub-cohorts with this information available.
Results from this research will demonstrate if childhood is a critical period for the establishment of the risk for cancer in adulthood and will lead into mechanistic explorations of the associations at the biological level, investigations into associations between childhood body size and mortality and contribute to developing improved definitions of childhood overweight and obesity that are based upon long-term health outcomes.
Summary
The goal of the proposed research is to examine how the independent and combined effects of childhood adiposity (assessed by body mass index [BMI]; kg/m2) height, change in BMI and height, and pubertal timing from the ages of 7 to 13 years are associated with the risk of cancer incidence in adulthood. Greater body size (adipose tissue and different types of lean tissue) reflecting past or ongoing growth may increase the risk of cancer in individuals as greater numbers of proliferating cells increase the risk that mutations leading to the subsequent development of cancer occur. As childhood is a period of growth, it is plausible that it is of particular relevance for the early establishment of the risk of cancer.
Data from the Copenhagen School Health Records Register, which is based on a population of schoolchildren born between 1930-1983 and contains computerised weight and height measurements on >350.000 boys and girls in the capital city of Denmark, as well as data from other cohorts will be used. Survival analysis techniques and the newly developed Dynamic Path Analysis model will be used to examine how body size (BMI and height) at each age from 7 to 13 years as well as change in body size during this period is associated with the risk of multiple forms of cancer in adulthood with a simultaneous exploration of the effects of birth weight and pubertal timing. Additionally, potential effects of childhood and adult health and social circumstances will be investigated in sub-cohorts with this information available.
Results from this research will demonstrate if childhood is a critical period for the establishment of the risk for cancer in adulthood and will lead into mechanistic explorations of the associations at the biological level, investigations into associations between childhood body size and mortality and contribute to developing improved definitions of childhood overweight and obesity that are based upon long-term health outcomes.
Max ERC Funding
1 199 998 €
Duration
Start date: 2012-02-01, End date: 2017-01-31
Project acronym CHILIC
Project Child health intervention interactions in low-income countries
Researcher (PI) Christine Benn
Host Institution (HI) STATENS SERUM INSTITUT
Country Denmark
Call Details Starting Grant (StG), LS7, ERC-2009-StG
Summary Vitamin A supplementation (VAS) and vaccines are the most powerful tools to reduce child mortality in low-income countries. However, we may not use these interventions optimally because we disregard that the interventions may have immunomodulatory effects which differ for boys and girls and which may interact with the effects of other interventions. I have proposed the hypothesis that VAS and vaccines interact. This hypothesis is supported by randomised and observational studies showing that the combination of VAS and DTP may be harmful. I have furthermore proposed that VAS has sex-differential effects. VAS seems beneficial for boys but may not carry any benefits for girls. These findings challenge the current understanding that VAS and vaccines have only targeted effects and can be given together without considering interactions. This is of outmost importance for policy makers. The global trend is to combine health interventions for logistic reasons. My research suggests that this may not always be a good idea. Furthermore, the concept of sex-differential response to our common health interventions opens up for a completely new understanding of the immunology of the two sexes and may imply that we need to treat the two sexes differently in order to treat them optimally possibly also in high-income countries. In the present proposal I outline a series of inter-disciplinary epidemiological and immunological studies, which will serve to determine the overall and sex-differential effects of VAS and vaccines, the mechanisms behind these effects, and the basis for the immunological difference between boys and girls. If my hypotheses are true we can use the existing tools in a more optimal way to reduce child mortality without increasing costs. Thus, the results could lead to shifts in policy as well as paradigms.
Summary
Vitamin A supplementation (VAS) and vaccines are the most powerful tools to reduce child mortality in low-income countries. However, we may not use these interventions optimally because we disregard that the interventions may have immunomodulatory effects which differ for boys and girls and which may interact with the effects of other interventions. I have proposed the hypothesis that VAS and vaccines interact. This hypothesis is supported by randomised and observational studies showing that the combination of VAS and DTP may be harmful. I have furthermore proposed that VAS has sex-differential effects. VAS seems beneficial for boys but may not carry any benefits for girls. These findings challenge the current understanding that VAS and vaccines have only targeted effects and can be given together without considering interactions. This is of outmost importance for policy makers. The global trend is to combine health interventions for logistic reasons. My research suggests that this may not always be a good idea. Furthermore, the concept of sex-differential response to our common health interventions opens up for a completely new understanding of the immunology of the two sexes and may imply that we need to treat the two sexes differently in order to treat them optimally possibly also in high-income countries. In the present proposal I outline a series of inter-disciplinary epidemiological and immunological studies, which will serve to determine the overall and sex-differential effects of VAS and vaccines, the mechanisms behind these effects, and the basis for the immunological difference between boys and girls. If my hypotheses are true we can use the existing tools in a more optimal way to reduce child mortality without increasing costs. Thus, the results could lead to shifts in policy as well as paradigms.
Max ERC Funding
1 686 043 €
Duration
Start date: 2010-01-01, End date: 2014-12-31
Project acronym CHIPS
Project Effects of Prenatal Exposure to Acrylamide on Health: Prospective Biomarker-Based Studies
Researcher (PI) Marie Pedersen
Host Institution (HI) KOBENHAVNS UNIVERSITET
Country Denmark
Call Details Starting Grant (StG), LS7, ERC-2017-STG
Summary Background: Acrylamide is a chemical formed in many commonly consumed foods and beverages. It is neurotoxic, crosses the placenta and has been associated with restriction of fetal growth in humans. In animals, acrylamide causes heritable mutations, tumors, developmental toxicity, reduced fertility and impaired growth. Therefore, the discovery of acrylamide in food in 2002 raised concern about human health effects worldwide. Still, epidemiological studies are limited and effects on health of prenatal exposure have never been evaluated.
Research gaps: Epidemiological studies have mostly addressed exposure during adulthood, focused on cancer risk in adults, and relied on questionnaires entailing a high degree of exposure misclassification. Biomarker studies on prenatal exposure to acrylamide from diet are critically needed to improve exposure assessment and to determine whether acrylamide leads to major diseases later in life.
Own results: I have first authored a prospective European study showing that prenatal exposure to acrylamide, estimated by measuring hemoglobin adducts in cord blood, was associated with fetal growth restriction, for the first time.
Objectives: To determine the effects of prenatal exposure to acrylamide alone and in combination with other potentially toxic adduct-forming exposures on the health of children and young adults.
Methods: Both well-established and innovative biomarker methods will be used for characterization of prenatal exposure to acrylamide and related toxicants in blood from pregnant women and their offspring in prospective cohort studies with long-term follow-up. Risk of neurological disorders, impaired cognition, disturbed reproductive function and metabolic outcomes such as obesity and diabetes will be evaluated.
Perspectives: CHIPS project will provide a better understanding of the impact of prenatal exposure to acrylamide from diet on human health urgently needed for targeted strategies for the protection of the health.
Summary
Background: Acrylamide is a chemical formed in many commonly consumed foods and beverages. It is neurotoxic, crosses the placenta and has been associated with restriction of fetal growth in humans. In animals, acrylamide causes heritable mutations, tumors, developmental toxicity, reduced fertility and impaired growth. Therefore, the discovery of acrylamide in food in 2002 raised concern about human health effects worldwide. Still, epidemiological studies are limited and effects on health of prenatal exposure have never been evaluated.
Research gaps: Epidemiological studies have mostly addressed exposure during adulthood, focused on cancer risk in adults, and relied on questionnaires entailing a high degree of exposure misclassification. Biomarker studies on prenatal exposure to acrylamide from diet are critically needed to improve exposure assessment and to determine whether acrylamide leads to major diseases later in life.
Own results: I have first authored a prospective European study showing that prenatal exposure to acrylamide, estimated by measuring hemoglobin adducts in cord blood, was associated with fetal growth restriction, for the first time.
Objectives: To determine the effects of prenatal exposure to acrylamide alone and in combination with other potentially toxic adduct-forming exposures on the health of children and young adults.
Methods: Both well-established and innovative biomarker methods will be used for characterization of prenatal exposure to acrylamide and related toxicants in blood from pregnant women and their offspring in prospective cohort studies with long-term follow-up. Risk of neurological disorders, impaired cognition, disturbed reproductive function and metabolic outcomes such as obesity and diabetes will be evaluated.
Perspectives: CHIPS project will provide a better understanding of the impact of prenatal exposure to acrylamide from diet on human health urgently needed for targeted strategies for the protection of the health.
Max ERC Funding
1 499 531 €
Duration
Start date: 2018-07-01, End date: 2023-06-30
