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Fanelli G, Franke B, Fabbri C, Werme J, Erdogan I, De Witte W, Poelmans G, Ruisch IH, Reus LM, van Gils V, Jansen WJ, Vos SJ, Alam KA, Martinez A, Haavik J, Wimberley T, Dalsgaard S, Fóthi Á, Barta C, Fernandez-Aranda F, Jimenez-Murcia S, Berkel S, Matura S, Salas-Salvadó J, Arenella M, Serretti A, Mota NR, Bralten J. Local patterns of genetic sharing challenge the boundaries between neuropsychiatric and insulin resistance-related conditions. medRxiv 2024:2024.03.07.24303921. [PMID: 38496672 PMCID: PMC10942494 DOI: 10.1101/2024.03.07.24303921] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/19/2024]
Abstract
The co-occurrence of insulin resistance (IR)-related metabolic conditions with neuropsychiatric disorders is a complex public health challenge. Evidence of the genetic links between these phenotypes is emerging, but little is currently known about the genomic regions and biological functions that are involved. To address this, we performed Local Analysis of [co]Variant Association (LAVA) using large-scale (N=9,725-933,970) genome-wide association studies (GWASs) results for three IR-related conditions (type 2 diabetes mellitus, obesity, and metabolic syndrome) and nine neuropsychiatric disorders. Subsequently, positional and expression quantitative trait locus (eQTL)-based gene mapping and downstream functional genomic analyses were performed on the significant loci. Patterns of negative and positive local genetic correlations (|rg|=0.21-1, pFDR<0.05) were identified at 109 unique genomic regions across all phenotype pairs. Local correlations emerged even in the absence of global genetic correlations between IR-related conditions and Alzheimer's disease, bipolar disorder, and Tourette's syndrome. Genes mapped to the correlated regions showed enrichment in biological pathways integral to immune-inflammatory function, vesicle trafficking, insulin signalling, oxygen transport, and lipid metabolism. Colocalisation analyses further prioritised 10 genetically correlated regions for likely harbouring shared causal variants, displaying high deleterious or regulatory potential. These variants were found within or in close proximity to genes, such as SLC39A8 and HLA-DRB1, that can be targeted by supplements and already known drugs, including omega-3/6 fatty acids, immunomodulatory, antihypertensive, and cholesterol-lowering drugs. Overall, our findings underscore the complex genetic landscape of IR-neuropsychiatric multimorbidity, advocating for an integrated disease model and offering novel insights for research and treatment strategies in this domain.
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Affiliation(s)
- Giuseppe Fanelli
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Barbara Franke
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Chiara Fabbri
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Josefin Werme
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Izel Erdogan
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Ward De Witte
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Geert Poelmans
- Department of Cognitive Neuroscience, Radboud University Medical Center, Nijmegen, The Netherlands
| | - I. Hyun Ruisch
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Lianne Maria Reus
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
- Center for Neurobehavioral Genetics, University of California, Los Angeles, Los Angeles, California, United States
| | - Veerle van Gils
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht University, Maastricht, The Netherlands
| | - Willemijn J. Jansen
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht University, Maastricht, The Netherlands
| | - Stephanie J.B. Vos
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht University, Maastricht, The Netherlands
| | | | - Aurora Martinez
- Department of Biomedicine, University of Bergen, Norway
- K.G. Jebsen Center for Translational Research in Parkinson’s Disease, University of Bergen, Norway
| | - Jan Haavik
- Department of Biomedicine, University of Bergen, Norway
- Division of Psychiatry, Haukeland University Hospital, Norway
| | - Theresa Wimberley
- National Centre for Register-based Research, School of Business and Social Sciences, Aarhus University, Aarhus, Denmark
- iPSYCH - The Lundbeck Foundation Initiative for Integrated Psychiatric Research, Aarhus, Denmark
| | - Søren Dalsgaard
- National Centre for Register-based Research, School of Business and Social Sciences, Aarhus University, Aarhus, Denmark
- Institute of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Department of Child and Adolescent Psychiatry Glostrup, Mental Health Services of the Capital Region, Hellerup, Denmark
| | - Ábel Fóthi
- Department of Molecular Biology, Institute of Biochemistry and Molecular Biology, Semmelweis University, Budapest, Hungary
| | - Csaba Barta
- Department of Molecular Biology, Institute of Biochemistry and Molecular Biology, Semmelweis University, Budapest, Hungary
| | - Fernando Fernandez-Aranda
- Clinical Psychology Department, University Hospital of Bellvitge, Barcelona, Spain
- Psychoneurobiology of Eating and Addictive Behaviors Group, Neurosciences Program, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain
- CIBER Fisiopatología Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Barcelona, Spain
- Department of Clinical Sciences, School of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain
| | - Susana Jimenez-Murcia
- Clinical Psychology Department, University Hospital of Bellvitge, Barcelona, Spain
- Psychoneurobiology of Eating and Addictive Behaviors Group, Neurosciences Program, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain
- CIBER Fisiopatología Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Barcelona, Spain
- Department of Clinical Sciences, School of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain
- Psychological Services, University of Barcelona, Spain
| | - Simone Berkel
- Institute of Human Genetics, Heidelberg University, Heidelberg, Germany
| | - Silke Matura
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital, Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Jordi Salas-Salvadó
- Universitat Rovira i Virgili, Biochemistry and biotechnology Department, Grup Alimentació, Nutrició, Desenvolupament i Salut Mental, Unitat de Nutrició Humana, Reus, Spain
- CIBER de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Martina Arenella
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Forensic and Neurodevelopmental Science, Institute of Psychiatry, Psychology and Neuroscience, King’s College, London, UK
| | | | - Nina Roth Mota
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Janita Bralten
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
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de Boer SCM, Gossink F, Krudop W, Vijverberg E, Schouws S, Reus LM, Pijnenburg YAL, Dols A. Diagnostic Instability Over Time in the Late-Onset Frontal Lobe Syndrome: When Can We Say it's FTD? Am J Geriatr Psychiatry 2023; 31:679-690. [PMID: 37028983 DOI: 10.1016/j.jagp.2023.02.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 02/04/2023] [Accepted: 02/06/2023] [Indexed: 02/16/2023]
Abstract
OBJECTIVES Distinguishing sporadic behavioral variant of frontotemporal dementia (bvFTD) from late-onset primary psychiatric disorders (PPD) remains challenging with the lack of robust biomarkers. An early bvFTD misdiagnosis in PPD cases and vice-versa is common. Little is known about diagnostic (in)stability over longer period of time. We investigated diagnostic instability in a neuropsychiatric cohort up to 8 years after baseline visit and identified which clinical hallmarks contribute to diagnostic instability. DESIGN Diagnoses of participants of the late-onset frontal lobe (LOF) study were collected from the baseline visit (T0) and the 2-year follow-up visit (T2). Clinical outcomes were retrieved 5-8 years after baseline visit (Tfinal). Endpoint diagnoses were categorized into bvFTD, PPD and other neurological disorders (OND). We calculated the total amount of participants that switched diagnosis between T0-T2 and T2-Tfinal. Clinical records of participants that switched diagnosis were assessed. RESULTS Of the 137 patients that were included in the study, the final diagnoses at Tfinal were bvFTD 24.1% (n = 33), PPD 39.4% (n = 54), OND 33.6% (n = 46) and unknown 2.9% (n = 4). Between T0 and T2, a total of 29 (21.2%) patients switched diagnosis. Between T2 and Tfinal, 8 (5.8%) patients switched diagnosis. Prolonged follow-up identified few cases with diagnostic instability. Major contributors to diagnostic instability where a nonconverting diagnosis of possible bvFTD and a probable bvFTD diagnosis based on informant-based history and an abnormal FDG-PET scan whilst having a normal MRI. CONCLUSION Considering these lessons, a FTD diagnosis remains stable enough to conclude that 2 years is sufficient to say if a patient with late-life behavioral disorder has FTD.
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Affiliation(s)
- Sterre C M de Boer
- Alzheimer Center Amsterdam, Neurology (SCDB, WK, EV, LMR, YALP), Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands; Amsterdam Neuroscience (SCDB, WK, EV, LMR, YALP), Neurodegeneration, Amsterdam, The Netherlands.
| | - Flora Gossink
- Reinier van Arkel, Geriatric and Hospital Psychiatric Centre (COZ) (FG), Jeroen Bosch Hospital, Den Bosch, The Netherlands
| | - Welmoed Krudop
- Alzheimer Center Amsterdam, Neurology (SCDB, WK, EV, LMR, YALP), Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands; Amsterdam Neuroscience (SCDB, WK, EV, LMR, YALP), Neurodegeneration, Amsterdam, The Netherlands; Department of Psychology and Psychiatry, Antonius Ziekenhuis Utrecht (WK), Utrecht, The Netherlands
| | - Everard Vijverberg
- Alzheimer Center Amsterdam, Neurology (SCDB, WK, EV, LMR, YALP), Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands; Amsterdam Neuroscience (SCDB, WK, EV, LMR, YALP), Neurodegeneration, Amsterdam, The Netherlands
| | - Sigfried Schouws
- Department of Old Age Psychiatry (SS), GGZ inGeest Specialized Mental Health Care, Amsterdam, The Netherlands; Amsterdam UMC, Vrije Universiteit Amsterdam, Psychiatry (SS), Amsterdam Public Health research institute, Amsterdam, The Netherlands
| | - Lianne Maria Reus
- Alzheimer Center Amsterdam, Neurology (SCDB, WK, EV, LMR, YALP), Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands; Amsterdam Neuroscience (SCDB, WK, EV, LMR, YALP), Neurodegeneration, Amsterdam, The Netherlands; Center for Neurobehavioral Genetics (LMR), University of California, Los Angeles, Los Angeles, CA
| | - Yolande A L Pijnenburg
- Alzheimer Center Amsterdam, Neurology (SCDB, WK, EV, LMR, YALP), Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands; Amsterdam Neuroscience (SCDB, WK, EV, LMR, YALP), Neurodegeneration, Amsterdam, The Netherlands
| | - Annemiek Dols
- Department of Psychiatry (AD), UMC Utrecht Brain Center, University Utrecht, Utrecht, The Netherlands
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Braak S, Su T, Krudop W, Pijnenburg YAL, Reus LM, van der Wee N, Bilderbeck AC, Dawson GR, van Rossum IW, Campos AV, Arango C, Saris IMJ, Kas MJ, Penninx BWJH. Theory of Mind and social functioning among neuropsychiatric disorders: A transdiagnostic study. Eur Neuropsychopharmacol 2022; 64:19-29. [PMID: 36070667 DOI: 10.1016/j.euroneuro.2022.08.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Revised: 08/15/2022] [Accepted: 08/17/2022] [Indexed: 11/23/2022]
Abstract
Social dysfunction is commonly present in neuropsychiatric disorders of schizophrenia (SZ) and Alzheimer's disease (AD). Theory of Mind (ToM) deficits have been linked to social dysfunction in disease-specific studies. Nevertheless, it remains unclear how ToM is related to social functioning across these disorders, and which factors contribute to this relationship. We investigated transdiagnostic associations between ToM and social functioning among SZ/AD patients and healthy controls, and explored to what extent these associations relate to information processing speed or facial emotion recognition capacity. A total of 163 participants were included (SZ: n=56, AD: n=50 and age-matched controls: n=57). Social functioning was assessed with the Social Functioning Scale (SFS) and the De Jong-Gierveld Loneliness Scale (LON). ToM was measured with the Hinting Task. Information processing speed was measured by the Digit Symbol Substitution Test (DSST) and facial emotion recognition capacity by the facial emotion recognition task (FERT). Case-control deficits in Hinting Task performance were larger in AD (rrb = -0.57) compared to SZ (rrb = -0.35). Poorer Hinting Task performance was transdiagnostically associated with the SFS (βHinting-Task = 1.20, p<0.01) and LON (βHinting-Task = -0.27, p<0.05). DSST, but not FERT, reduced the association between the SFS and Hinting Task performance, however the association remained significant (βHinting-Task = 0.95, p<0.05). DSST and FERT performances did not change the association between LON and Hinting Task performance. Taken together, ToM deficits are transdiagnostically associated with social dysfunction and this is partly related to reduced information processing speed.
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Affiliation(s)
- S Braak
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Psychiatry, Boelelaan 1117, Amsterdam, the Netherlands; Amsterdam Neuroscience, Mood, Anxiety, Psychosis, Sleep & Stress program, Amsterdam, the Netherlands.
| | - T Su
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Psychiatry, Boelelaan 1117, Amsterdam, the Netherlands; Amsterdam Neuroscience, Mood, Anxiety, Psychosis, Sleep & Stress program, Amsterdam, the Netherlands; GGZ inGeest Mental Health Care, Amsterdam, the Netherlands
| | - W Krudop
- St Antonius ziekenhuis, Department of Psychiatry, Utrecht, the Netherlands
| | - Y A L Pijnenburg
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands; Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
| | - L M Reus
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands; Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
| | - N van der Wee
- Leiden University Medical Centre, Department of Psychiatry, the Netherlands
| | - A C Bilderbeck
- P1vital Ltd. Manor House, Howbery Park, Wallingford, United Kingdom
| | - G R Dawson
- P1vital Ltd. Manor House, Howbery Park, Wallingford, United Kingdom
| | - I Winter- van Rossum
- University Medical Center Utrecht Brain Center, Department of Psychiatry The Netherlands
| | - A Vieira Campos
- Department of Neurology, Hospital Universitario de la Princesa, Instituto de Investigación Sanitaria Princesa, Spain; Centre of Biomedical Research in Mental Health, CIBERSAM, Spain
| | - C Arango
- Centre of Biomedical Research in Mental Health, CIBERSAM, Spain; Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Gregorio Marañon University Hospital, IiSGM, Spain; Universidad Complutense de Madrid, Spain
| | - I M J Saris
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Psychiatry, Boelelaan 1117, Amsterdam, the Netherlands; Amsterdam Neuroscience, Mood, Anxiety, Psychosis, Sleep & Stress program, Amsterdam, the Netherlands
| | - M J Kas
- Groningen Institute for Evolutionary Life Sciences, University of Groningen, the Netherlands
| | - B W J H Penninx
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Psychiatry, Boelelaan 1117, Amsterdam, the Netherlands; Amsterdam Neuroscience, Mood, Anxiety, Psychosis, Sleep & Stress program, Amsterdam, the Netherlands
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