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Isabella Heuser

Bio: Isabella Heuser is an academic researcher from Charité. The author has contributed to research in topics: Depression (differential diagnoses) & Dementia. The author has an hindex of 72, co-authored 337 publications receiving 21747 citations. Previous affiliations of Isabella Heuser include National Institutes of Health & Free University of Berlin.


Papers
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Journal ArticleDOI
Denise Harold1, Richard Abraham2, Paul Hollingworth2, Rebecca Sims2, Amy Gerrish2, Marian L. Hamshere3, Jaspreet Singh Pahwa2, Valentina Moskvina2, Kimberley Dowzell2, Amy L. Williams2, Nicola L. Jones2, Charlene Thomas2, Alexandra Stretton2, Angharad R. Morgan2, Simon Lovestone4, John Powell5, Petroula Proitsi5, Michelle K. Lupton5, Carol Brayne6, David C. Rubinsztein7, Michael Gill6, Brian A. Lawlor6, Aoibhinn Lynch6, Kevin Morgan8, Kristelle Brown8, Peter Passmore9, David Craig9, Bernadette McGuinness9, Stephen Todd9, Clive Holmes10, David M. A. Mann11, A. David Smith12, Seth Love3, Patrick G. Kehoe3, John Hardy, Simon Mead13, Nick C. Fox13, Martin N. Rossor13, John Collinge13, Wolfgang Maier14, Frank Jessen14, Britta Schürmann14, Hendrik van den Bussche15, Isabella Heuser16, Johannes Kornhuber17, Jens Wiltfang18, Martin Dichgans19, Lutz Frölich20, Harald Hampel19, Harald Hampel21, Michael Hüll22, Dan Rujescu19, Alison Goate23, John S. K. Kauwe24, Carlos Cruchaga23, Petra Nowotny23, John C. Morris23, Kevin Mayo23, Kristel Sleegers25, Karolien Bettens25, Sebastiaan Engelborghs25, Peter Paul De Deyn25, Christine Van Broeckhoven25, Gill Livingston26, Nicholas Bass26, Hugh Gurling26, Andrew McQuillin26, Rhian Gwilliam27, Panagiotis Deloukas27, Ammar Al-Chalabi28, Christopher Shaw28, Magda Tsolaki29, Andrew B. Singleton30, Rita Guerreiro30, Thomas W. Mühleisen14, Markus M. Nöthen14, Susanne Moebus18, Karl-Heinz Jöckel18, Norman Klopp, H-Erich Wichmann19, Minerva M. Carrasquillo31, V. Shane Pankratz31, Steven G. Younkin31, Peter Holmans2, Michael Conlon O'Donovan2, Michael John Owen2, Julie Williams2 
TL;DR: A two-stage genome-wide association study of Alzheimer's disease involving over 16,000 individuals, the most powerful AD GWAS to date, produced compelling evidence for association with Alzheimer's Disease in the combined dataset.
Abstract: We undertook a two-stage genome-wide association study (GWAS) of Alzheimer's disease (AD) involving over 16,000 individuals, the most powerful AD GWAS to date. In stage 1 (3,941 cases and 7,848 controls), we replicated the established association with the apolipoprotein E (APOE) locus (most significant SNP, rs2075650, P = 1.8 10-157) and observed genome-wide significant association with SNPs at two loci not previously associated with the disease: at the CLU (also known as APOJ) gene (rs11136000, P = 1.4 10-9) and 5' to the PICALM gene (rs3851179, P = 1.9 10-8). These associations were replicated in stage 2 (2,023 cases and 2,340 controls), producing compelling evidence for association with Alzheimer's disease in the combined dataset (rs11136000, P = 8.5 10-10, odds ratio = 0.86; rs3851179, P = 1.3 10-9, odds ratio = 0.86).

2,956 citations

Journal ArticleDOI
Paul Hollingworth1, Denise Harold1, Rebecca Sims1, Amy Gerrish1  +174 moreInstitutions (59)
TL;DR: Meta-analyses of all data provided compelling evidence that ABCA7 and the MS4A gene cluster are new Alzheimer's disease susceptibility loci and independent evidence for association for three loci reported by the ADGC, which, when combined, showed genome-wide significance.
Abstract: We sought to identify new susceptibility loci for Alzheimer's disease through a staged association study (GERAD+) and by testing suggestive loci reported by the Alzheimer's Disease Genetic Consortium (ADGC) in a companion paper. We undertook a combined analysis of four genome-wide association datasets (stage 1) and identified ten newly associated variants with P ≤ 1 × 10−5. We tested these variants for association in an independent sample (stage 2). Three SNPs at two loci replicated and showed evidence for association in a further sample (stage 3). Meta-analyses of all data provided compelling evidence that ABCA7 (rs3764650, meta P = 4.5 × 10−17; including ADGC data, meta P = 5.0 × 10−21) and the MS4A gene cluster (rs610932, meta P = 1.8 × 10−14; including ADGC data, meta P = 1.2 × 10−16) are new Alzheimer's disease susceptibility loci. We also found independent evidence for association for three loci reported by the ADGC, which, when combined, showed genome-wide significance: CD2AP (GERAD+, P = 8.0 × 10−4; including ADGC data, meta P = 8.6 × 10−9), CD33 (GERAD+, P = 2.2 × 10−4; including ADGC data, meta P = 1.6 × 10−9) and EPHA1 (GERAD+, P = 3.4 × 10−4; including ADGC data, meta P = 6.0 × 10−10).

1,771 citations

Journal ArticleDOI
Denise Harold, Richard Abraham, Paul Hollingworth, Rebecca Sims, Amy Gerrish, Marian L. Hamshere, Jaspreet Singh Pahwa, Valentina Moskvina, Kimberley Dowzell, Amy L. Williams, Nicola Jones, Charlene Thomas, Alexandra Stretton, Angharad R. Morgan, Simon Lovestone, John Powell, Petroula Proitsi, Michelle K. Lupton, Carol Brayne, David C. Rubinsztein, Michael Gill, Brian A. Lawlor, Aoibhinn Lynch, Kevin Morgan1, Kristelle Brown, Peter Passmore, David Craig1, Bernadette McGuinness, Stephen Todd, Clive Holmes, David G. Mann, A. David Smith1, Seth Love, Patrick G. Kehoe, John Hardy, Simon Mead, Nick C. Fox, Martin N. Rossor, John Collinge, Wolfgang Maier, Frank Jessen, Britta Schürmann, Reinhard Heun, Hendrik van den Bussche, Isabella Heuser, Johannes Kornhuber, Jens Wiltfang, Martin Dichgans, Lutz Frölich, Harald Hampel, Michael Hüll, Dan Rujescu, Alison Goate, John S. K. Kauwe, Carlos Cruchaga, Petra Nowotny, John C. Morris, Kevin Mayo, Kristel Sleegers, Karolien Bettens, Sebastiaan Engelborghs, Peter Paul De Deyn, Christine Van Broeckhoven, Gill Livingston, Nicholas Bass, Hugh Gurling, Andrew McQuillin, Rhian Gwilliam, Panagiotis Deloukas, Ammar Al-Chalabi, Christopher Shaw, Magda Tsolaki, Andrew B. Singleton, Rita Guerreiro, Thomas W Mühleisen, Markus M Nöthen, Susanne Moebus, Karl-Heinz Jöckel, Norman Klopp, H-Erich Wichmann, Minerva M. Carrasquillo, V. Shane Pankratz, Steven G. Younkin, Peter Holmans, Michael OtextquotesingleDonovan, Michael John Owen, Julie Williams 
TL;DR: A two-stage genome-wide association study of Alzheimer's disease involving over 16,000 individuals, the most powerful AD GWAS to date, produced compelling evidence for association with Alzheimer’s disease in the combined dataset.
Abstract: Nature GeNetics ADVANCE ONLINE PUBLICATION We undertook a two-stage genome-wide association study (GWAS) of Alzheimer’s disease (AD) involving over 16,000 individuals, the most powerful AD GWAS to date. In stage 1 (3,941 cases and 7,848 controls), we replicated the established association with the apolipoprotein E (APOE) locus (most significant SNP, rs2075650, P = 1.8 × 10−157) and observed genome-wide significant association with SNPs at two loci not previously associated with the disease: at the CLU (also known as APOJ) gene (rs11136000, P = 1.4 × 10−9) and 5 to the PICALM gene (rs3851179, P = 1.9 × 10−8). These associations were replicated in stage 2 (2,023 cases and 2,340 controls), producing compelling evidence for association with Alzheimer’s disease in the combined dataset (rs11136000, P = 8.5 × 10−10, odds ratio = 0.86; rs3851179, P = 1.3 × 10−9, odds ratio = 0.86).

1,185 citations

Journal ArticleDOI
TL;DR: In this article, the DEX/CRH test was used to assess hypothalamic-pituitary-adrenal-system (HPA) alteration in patients with psychiatric disorders.

651 citations

Journal ArticleDOI
Lesley Jones1, Peter Holmans1, Marian L. Hamshere1, Denise Harold1, Valentina Moskvina1, Dobril Ivanov1, Andrew Pocklington1, Richard Abraham1, Paul Hollingworth1, Rebecca Sims1, Amy Gerrish1, Jaspreet Singh Pahwa1, Nicola L. Jones1, Alexandra Stretton1, Angharad R. Morgan1, Simon Lovestone2, John Powell3, Petroula Proitsi3, Michelle K. Lupton3, Carol Brayne4, David C. Rubinsztein4, Michael Gill5, Brian A. Lawlor5, Aoibhinn Lynch5, Kevin Morgan6, Kristelle Brown6, Peter Passmore7, David Craig7, Bernadette McGuinness7, Stephen Todd7, Clive Holmes8, David G. Mann9, A. David Smith10, Seth Love11, Patrick G. Kehoe11, Simon Mead12, Nick C. Fox12, Martin N. Rossor12, John Collinge12, Wolfgang Maier13, Frank Jessen13, Britta Schürmann13, Hendrik van den Bussche14, Isabella Heuser14, Oliver Peters14, Johannes Kornhuber15, Jens Wiltfang16, Martin Dichgans17, Lutz Frölich18, Harald Hampel19, Harald Hampel17, Michael Hüll20, Dan Rujescu17, Alison Goate21, John S. K. Kauwe22, Carlos Cruchaga21, Petra Nowotny21, John C. Morris21, Kevin Mayo21, Gill Livingston, Nicholas Bass, Hugh Gurling, Andrew McQuillin, Rhian Gwilliam23, Panos Deloukas23, Ammar Al-Chalabi3, Christopher Shaw3, Andrew B. Singleton24, Rita Guerreiro24, Thomas W. Mühleisen13, Markus M. Nöthen13, Susanne Moebus16, Karl-Heinz Jöckel16, Norman Klopp, H.-Erich Wichmann17, Eckhard Rüther25, Minerva M. Carrasquillo26, V. Shane Pankratz26, Steven G. Younkin26, John Hardy, Michael Conlon O'Donovan1, Michael John Owen1, Julie Williams1 
15 Nov 2010-PLOS ONE
TL;DR: Independent evidence from two large studies demonstrates that these processes related to cholesterol metabolism and the innate immune response are aetiologically relevant, and suggests that they may be suitable targets for novel and existing therapeutic approaches.
Abstract: Background 1Late Onset Alzheimer's disease (LOAD) is the leading cause of dementia. Recent large genome-wide association studies (GWAS) identified the first strongly supported LOAD susceptibility genes since the discovery of the involvement of APOE in the early 1990s. We have now exploited these GWAS datasets to uncover key LOAD pathophysiological processes. Methodology We applied a recently developed tool for mining GWAS data for biologically meaningful information to a LOAD GWAS dataset. The principal findings were then tested in an independent GWAS dataset. Principal Findings We found a significant overrepresentation of association signals in pathways related to cholesterol metabolism and the immune response in both of the two largest genome-wide association studies for LOAD. Significance Processes related to cholesterol metabolism and the innate immune response have previously been implicated by pathological and epidemiological studies of Alzheimer's disease, but it has been unclear whether those findings reflected primary aetiological events or consequences of the disease process. Our independent evidence from two large studies now demonstrates that these processes are aetiologically relevant, and suggests that they may be suitable targets for novel and existing therapeutic approaches.

624 citations


Cited by
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TL;DR: Motivated performance tasks elicited cortisol responses if they were uncontrollable or characterized by social-evaluative threat (task performance could be negatively judged by others), when methodological factors and other stressor characteristics were controlled for.
Abstract: This meta-analysis reviews 208 laboratory studies of acute psychological stressors and tests a theoretical model delineating conditions capable of eliciting cortisol responses. Psychological stressors increased cortisol levels; however, effects varied widely across tasks. Consistent with the theoretical model, motivated performance tasks elicited cortisol responses if they were uncontrollable or characterized by social-evaluative threat (task performance could be negatively judged by others), when methodological factors and other stressor characteristics were controlled for. Tasks containing both uncontrollable and social-evaluative elements were associated with the largest cortisol and adrenocorticotropin hormone changes and the longest times to recovery. These findings are consistent with the animal literature on the physiological effects of uncontrollable social threat and contradict the belief that cortisol is responsive to all types of stressors.

5,028 citations

Journal ArticleDOI
TL;DR: By better understanding AD inflammatory and immunoregulatory processes, it should be possible to develop anti-inflammatory approaches that may not cure AD but will likely help slow the progression or delay the onset of this devastating disorder.

4,319 citations

Journal ArticleDOI
TL;DR: This work proposes a model that relates disease stage to AD biomarkers in which Abeta biomarkers become abnormal first, before neurodegenerative biomarkers and cognitive symptoms, and neurodegnerative biomarker become abnormal later, and correlate with clinical symptom severity.
Abstract: Summary Currently available evidence strongly supports the position that the initiating event in Alzheimer's disease (AD) is related to abnormal processing of β-amyloid (Aβ) peptide, ultimately leading to formation of Aβ plaques in the brain. This process occurs while individuals are still cognitively normal. Biomarkers of brain β-amyloidosis are reductions in CSF Aβ 42 and increased amyloid PET tracer retention. After a lag period, which varies from patient to patient, neuronal dysfunction and neurodegeneration become the dominant pathological processes. Biomarkers of neuronal injury and neurodegeneration are increased CSF tau and structural MRI measures of cerebral atrophy. Neurodegeneration is accompanied by synaptic dysfunction, which is indicated by decreased fluorodeoxyglucose uptake on PET. We propose a model that relates disease stage to AD biomarkers in which Aβ biomarkers become abnormal first, before neurodegenerative biomarkers and cognitive symptoms, and neurodegenerative biomarkers become abnormal later, and correlate with clinical symptom severity.

3,953 citations

Journal ArticleDOI
TL;DR: Genome-wide analysis suggests that several genes that increase the risk for sporadic Alzheimer's disease encode factors that regulate glial clearance of misfolded proteins and the inflammatory reaction.
Abstract: Increasing evidence suggests that Alzheimer's disease pathogenesis is not restricted to the neuronal compartment, but includes strong interactions with immunological mechanisms in the brain. Misfolded and aggregated proteins bind to pattern recognition receptors on microglia and astroglia, and trigger an innate immune response characterised by release of inflammatory mediators, which contribute to disease progression and severity. Genome-wide analysis suggests that several genes that increase the risk for sporadic Alzheimer's disease encode factors that regulate glial clearance of misfolded proteins and the inflammatory reaction. External factors, including systemic inflammation and obesity, are likely to interfere with immunological processes of the brain and further promote disease progression. Modulation of risk factors and targeting of these immune mechanisms could lead to future therapeutic or preventive strategies for Alzheimer's disease.

3,947 citations