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Jaholkowski P, Bahrami S, Fominykh V, Hindley GFL, Tesfaye M, Parekh P, Parker N, Filiz TT, Nordengen K, Hagen E, Koch E, Bakken NR, Frei E, Birkenæs V, Rahman Z, Frei O, Haavik J, Djurovic S, Dale AM, Smeland OB, O'Connell KS, Shadrin AA, Andreassen OA. Charting the shared genetic architecture of Alzheimer's disease, cognition, and educational attainment, and associations with brain development. Neurobiol Dis 2024; 203:106750. [PMID: 39608471 DOI: 10.1016/j.nbd.2024.106750] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2024] [Revised: 10/09/2024] [Accepted: 11/23/2024] [Indexed: 11/30/2024] Open
Abstract
The observation that the risk of developing Alzheimer's disease is reduced in individuals with high premorbid cognitive functioning, higher educational attainment, and occupational status has led to the 'cognitive reserve' hypothesis. This hypothesis suggests that individuals with greater cognitive reserve can tolerate a more significant burden of neuropathological changes before the onset of cognitive decline. The underpinnings of cognitive reserve remain poorly understood, although a shared genetic basis between measures of cognitive reserve and Alzheimer's disease has been suggested. Using the largest samples to date and novel statistical tools, we aimed to investigate shared genetic variants between Alzheimer's disease, and measures of cognitive reserve; cognition and educational attainment to identify molecular and neurobiological foundations. We applied the causal mixture model (MiXeR) to estimate the number of trait-influencing variants shared between Alzheimer's disease, cognition, and educational attainment, and condFDR/conjFDR to identify shared loci. To provide biological insights loci were functionally characterized. Subsequently, we constructed a Structural Equation Model (SEM) to determine if the polygenic foundation of cognition has a direct impact on Alzheimer's disease risk, or if its effect is mediated through established risk factors for the disease, using a case-control sample from the UK Biobank. Univariate MiXeR analysis (after excluding chromosome 19) revealed that Alzheimer's disease was substantially less polygenic (450 trait-influencing variants) compared to cognition (11,100 trait-influencing variants), and educational attainment (12,700 trait-influencing variants). Bivariate MiXeR analysis estimated that Alzheimer's disease shared approximately 70 % of trait-influencing variants with cognition, and approximately 40 % with educational attainment, with mixed effect directions. Using condFDR analysis, we identified 18 loci jointly associated with Alzheimer's disease and cognition and 6 loci jointly associated with Alzheimer's disease and educational attainment. Genes mapped to shared loci were associated with neurodevelopment, expressed in early life, and implicated the dendritic tree and phosphatidylinositol phosphate binding mechanisms. Spatiotemporal gene expression analysis of the identified genes showed that mapped genes were highly expressed during the mid-fetal period, further suggesting early neurodevelopmental stages as critical periods for establishing cognitive reserve which affect the risk of Alzheimer's disease in old age. Furthermore, our SEM analysis showed that genetic variants influencing cognition had a direct effect on the risk of developing Alzheimer's disease, providing evidence in support of the neurodevelopmental hypothesis of the disease.
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Affiliation(s)
- Piotr Jaholkowski
- Center for Precision Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
| | - Shahram Bahrami
- Center for Precision Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Vera Fominykh
- Center for Precision Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Guy F L Hindley
- Center for Precision Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Markos Tesfaye
- Center for Precision Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Pravesh Parekh
- Center for Precision Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Nadine Parker
- Center for Precision Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Tahir T Filiz
- Center for Precision Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Kaja Nordengen
- Department of Neurology, Oslo University Hospital, Oslo, Norway
| | - Espen Hagen
- Center for Precision Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Elise Koch
- Center for Precision Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Nora R Bakken
- Center for Precision Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Evgeniia Frei
- Center for Precision Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Viktoria Birkenæs
- Center for Precision Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Zillur Rahman
- Center for Precision Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Oleksandr Frei
- Center for Precision Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Center for Bioinformatics, Department of Informatics, University of Oslo, Oslo, Norway
| | - Jan Haavik
- Department of Biomedicine, Faculty of Medicine, University of Bergen, Bergen, Norway; Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
| | - Srdjan Djurovic
- Department of Clinical Science, University of Bergen, Bergen, Norway; Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
| | - Anders M Dale
- Department of Radiology, University of California, San Diego, La Jolla, CA 92093, USA; Multimodal Imaging Laboratory, University of California San Diego, La Jolla, CA 92093, USA; Department of Psychiatry, University of California San Diego, La Jolla, CA 92093, USA; Department of Neurosciences, University of California San Diego, La Jolla, CA 92093, USA
| | - Olav B Smeland
- Center for Precision Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Kevin S O'Connell
- Center for Precision Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Alexey A Shadrin
- Center for Precision Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo and Oslo University Hospital, Oslo, Norway
| | - Ole A Andreassen
- Center for Precision Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo and Oslo University Hospital, Oslo, Norway.
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Golimstok Á, Basalo MJG, Majul M, Berrios W, Rugiero M, Fernández MC, Eichel R. Adult Attention Deficit-Hyperactivity Disorder is associated with Lewy Body Disease and Cognitive Impairment: A prospective cohort Study With 15-year Follow-Up. Am J Geriatr Psychiatry 2024; 32:1063-1077. [PMID: 38697886 DOI: 10.1016/j.jagp.2024.04.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Revised: 04/08/2024] [Accepted: 04/08/2024] [Indexed: 05/05/2024]
Abstract
OBJECTIVES Past reports have suggested that attention-deficit/hyperactivity disorder (ADHD) may be a risk factor for Lewy body disease (LBD). To confirm this relationship, we conducted the present study. DESIGN A prospective observational cohort study with a follow-up to 15 years. SETTING The subjects were recruited from cognitive neurology clinics, where they attended for a cognitive complaint or health check-up. PARTICIPANTS Two groups of subjects: ADHD adults and healthy subjects. MEASUREMENTS The risk of dementia and LBD was estimated with Kaplan-Meier analysis comparing for the presence or absence of ADHD with the log-rank test. Predictors of conversion were assessed through separate univariate and multivariate Cox regression analyses, adjusting for several variables. RESULTS The baseline sample consisted of 161 subjects with ADHD and 109 without ADHD. At the end of the follow-up, 31 subjects developed dementia, 27 cases in the ADHD group and 4 in comparison group. Dementia with Lewy bodies (DLB) was the most frequent type (N:20) of which 19 corresponded to the ADHD group. The incidence of non-amnestic-MCI in the ADHD group was higher representing 67.1 % of these subjects (N:108), and 17.4% (N:19) of healthy cases. The hazard ratios for dementia and LBD in the multivariate adjusted model were 3.33 (95% CI 1.0915 to 10.1699) and 54.54 (95% CI 7.4849 to 397.5028), respectively in the ADHD group. CONCLUSIONS This study showed that adult ADHD is independently associated with an increased risk of LBD, dementia, and na-MCI. Future studies should clarify this relationship to develop preventive measures for these patients.
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Affiliation(s)
- Ángel Golimstok
- Cognitive and Behavior Unit, Department of Neurology (AG, MJGB, MM, WB, MR, MCF), Hospital Italiano de Buenos Aires, Buenos Aires, Argentina; Master of Neuropsychology (AG, MJGB, MM, WB, MCF), University Institute of the Italian Hospital, Buenos Aires, Argentina.
| | - María José García Basalo
- Cognitive and Behavior Unit, Department of Neurology (AG, MJGB, MM, WB, MR, MCF), Hospital Italiano de Buenos Aires, Buenos Aires, Argentina; Master of Neuropsychology (AG, MJGB, MM, WB, MCF), University Institute of the Italian Hospital, Buenos Aires, Argentina
| | - Mariana Majul
- Cognitive and Behavior Unit, Department of Neurology (AG, MJGB, MM, WB, MR, MCF), Hospital Italiano de Buenos Aires, Buenos Aires, Argentina; Master of Neuropsychology (AG, MJGB, MM, WB, MCF), University Institute of the Italian Hospital, Buenos Aires, Argentina
| | - Waleska Berrios
- Cognitive and Behavior Unit, Department of Neurology (AG, MJGB, MM, WB, MR, MCF), Hospital Italiano de Buenos Aires, Buenos Aires, Argentina; Master of Neuropsychology (AG, MJGB, MM, WB, MCF), University Institute of the Italian Hospital, Buenos Aires, Argentina
| | - Marcelo Rugiero
- Cognitive and Behavior Unit, Department of Neurology (AG, MJGB, MM, WB, MR, MCF), Hospital Italiano de Buenos Aires, Buenos Aires, Argentina
| | - Maria Cecilia Fernández
- Cognitive and Behavior Unit, Department of Neurology (AG, MJGB, MM, WB, MR, MCF), Hospital Italiano de Buenos Aires, Buenos Aires, Argentina; Master of Neuropsychology (AG, MJGB, MM, WB, MCF), University Institute of the Italian Hospital, Buenos Aires, Argentina
| | - Roni Eichel
- Department of Neurology (RE), Shaare Zedek Medical Center, Jerusalem, Israel; The School of Medicine (RE), The Hebrew University, Jerusalem, Israel
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Libutzki B, Neukirch B, Reif A, Hartman CA. Somatic burden of attention-deficit/hyperactivity disorder across the lifecourse. Acta Psychiatr Scand 2024; 150:105-117. [PMID: 38804256 DOI: 10.1111/acps.13694] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Revised: 04/07/2024] [Accepted: 05/06/2024] [Indexed: 05/29/2024]
Abstract
OBJECTIVE A thorough and comprehensive knowledge base on the extent of comorbidity of attention-deficit/hyperactivity disorder (ADHD) and somatic conditions is needed. METHOD We compared the prevalence of a wide range of somatic conditions in individuals with and without ADHD and described sex and lifecourse differences. Individuals with an ADHD diagnosis (N = 87,394) and age and sex-matched individuals without an ADHD diagnosis were identified from a large health claims dataset representative of the general German population, including both primary and specialized care (N = 4.874,754). Results were provided for the full sample as well as stratified for sex and age (<12 years, 13-17 years, 18-29 years, 30-59 years, ≥60 years). RESULTS The results showed that ADHD is associated with a wide variety of somatic conditions across the entire lifecourse. Specifically neurological disorders such as Parkison's disease (odds ratio [OR]: 5.21) and dementia (OR: 2.23), sleep-related disorders (OR: 2.38) and autoimmune disorders affecting the musculoskeletal, digestive, and endocrine system (fibromyalgia OR: 3.33; lupus OR: 2.17) are strongly and significantly associated with ADHD. Additionally, ADHD is associated with higher occurrence of common acute diseases typically treated by the general practitioner, hinting at an overall general lower health status. Sex differences in somatic comorbidity were not prominent. Age differences, in contrast, stood out: in particular endocrine, cardiovascular, and neurological disorders had an early onset in individuals with compared to individuals without ADHD. CONCLUSION This research underlines the high burden of disease due to somatic conditions among individuals with ADHD. The findings indicate the need for preventive measures to reduce comorbidity.
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Affiliation(s)
- Berit Libutzki
- Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Benno Neukirch
- Hochschule Niederrhein, University of Applied Sciences, Krefeld, Germany
| | - Andreas Reif
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Catharina A Hartman
- Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
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Siguier PLM, Planton M, Baudou E, Chaix Y, Delage A, Rafiq M, Wolfrum M, Gérard F, Jucla M, Pariente J. Can neurodevelopmental disorders influence the course of neurodegenerative diseases? A scoping review. Ageing Res Rev 2024; 99:102354. [PMID: 38857707 DOI: 10.1016/j.arr.2024.102354] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Revised: 04/30/2024] [Accepted: 05/27/2024] [Indexed: 06/12/2024]
Abstract
This scoping review aims at giving an overview of the possible influence of neurodevelopmental disorders (NDDs) on cognitive-behavioral neurodegenerative diseases (CBNDs). Based on the PRISMA-ScR checklist, it details the methods of NDDs screening, the identified NDDs-CBNDs associations, as well as the criteria and types of association. The last literature search was performed in June 2023. In the final study, 32 articles were included. Analysis first showed that NDDs were mainly detected through medical records screening. Second, the association of specific learning disorders and major or mild neurocognitive disorder due to Alzheimer's disease was the most investigated. Third, associations were mostly based on prevalence comparisons. Finally, 66 % of studies reported a positive association between NDDs and CBNDs. Notably, up to 67 % of positive associations were observed with atypical forms of certain CBNDs. Authors' interpretations suggest that NDDs could constitute a risk factor for CBNDs. However, the influence of NDDs on CBNDs still lacks evidence and biological support, possibly due to the heterogeneity of methods and criteria employed. Developing validated assessment tools for all NDDs and conducting cohort studies could be beneficial for research, and clinical practice. Indeed, this review also underlines the importance of adopting a life-span approach regarding CBNDs.
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Affiliation(s)
- Perrine L M Siguier
- Toulouse NeuroImaging Center, UMR1214, Toulouse University III, Inserm, CHU PURPAN - Pavillon BAUDOT, Place du Dr Joseph Baylac, 31024 TOULOUSE cedex 3, France; Laboratoire de Neuropsycholinguistique, EA4156, University of Toulouse II, 5 allée Antonio Machado, 31058 TOULOUSE cedex 9, France.
| | - Mélanie Planton
- Toulouse NeuroImaging Center, UMR1214, Toulouse University III, Inserm, CHU PURPAN - Pavillon BAUDOT, Place du Dr Joseph Baylac, 31024 TOULOUSE cedex 3, France; Department of Neurology, Neuroscience Centre, Toulouse-Purpan University Hospital, Place du Dr Baylac, TSA 40 031, 31059 Toulouse cedex 9, France
| | - Eloise Baudou
- Toulouse NeuroImaging Center, UMR1214, Toulouse University III, Inserm, CHU PURPAN - Pavillon BAUDOT, Place du Dr Joseph Baylac, 31024 TOULOUSE cedex 3, France; Neuropediatric Department, Toulouse-Purpan University Hospital, 330 avenue de Grande Bretagne - TSA 70034 - 31059 Toulouse cedex 9, France
| | - Yves Chaix
- Toulouse NeuroImaging Center, UMR1214, Toulouse University III, Inserm, CHU PURPAN - Pavillon BAUDOT, Place du Dr Joseph Baylac, 31024 TOULOUSE cedex 3, France; Neuropediatric Department, Toulouse-Purpan University Hospital, 330 avenue de Grande Bretagne - TSA 70034 - 31059 Toulouse cedex 9, France
| | - Alix Delage
- MéD@tAS Unit, Clinical Investigation Centre INSERM 1436, Department of Medical and Clinical Pharmacology, Toulouse University Hospital, 37 Allées Jules Guesde, Toulouse 31000, France
| | - Marie Rafiq
- Department of Neurology, Neuroscience Centre, Toulouse-Purpan University Hospital, Place du Dr Baylac, TSA 40 031, 31059 Toulouse cedex 9, France
| | - Marie Wolfrum
- Department of Neurology, Neuroscience Centre, Toulouse-Purpan University Hospital, Place du Dr Baylac, TSA 40 031, 31059 Toulouse cedex 9, France
| | - Fleur Gérard
- Department of Neurology, Neuroscience Centre, Toulouse-Purpan University Hospital, Place du Dr Baylac, TSA 40 031, 31059 Toulouse cedex 9, France
| | - Mélanie Jucla
- Laboratoire de Neuropsycholinguistique, EA4156, University of Toulouse II, 5 allée Antonio Machado, 31058 TOULOUSE cedex 9, France
| | - Jérémie Pariente
- Toulouse NeuroImaging Center, UMR1214, Toulouse University III, Inserm, CHU PURPAN - Pavillon BAUDOT, Place du Dr Joseph Baylac, 31024 TOULOUSE cedex 3, France; Department of Neurology, Neuroscience Centre, Toulouse-Purpan University Hospital, Place du Dr Baylac, TSA 40 031, 31059 Toulouse cedex 9, France
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Wimberley T, Brikell I, Astrup A, Larsen JT, Petersen LV, Albiñana C, Vilhjálmsson BJ, Bulik CM, Chang Z, Fanelli G, Bralten J, Mota NR, Salas-Salvadó J, Fernandez-Aranda F, Bulló M, Franke B, Børglum A, Mortensen PB, Horsdal HT, Dalsgaard S. Shared familial risk for type 2 diabetes mellitus and psychiatric disorders: a nationwide multigenerational genetics study. Psychol Med 2024:1-10. [PMID: 38801094 DOI: 10.1017/s0033291724001053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
BACKGROUND Psychiatric disorders and type 2 diabetes mellitus (T2DM) are heritable, polygenic, and often comorbid conditions, yet knowledge about their potential shared familial risk is lacking. We used family designs and T2DM polygenic risk score (T2DM-PRS) to investigate the genetic associations between psychiatric disorders and T2DM. METHODS We linked 659 906 individuals born in Denmark 1990-2000 to their parents, grandparents, and aunts/uncles using population-based registers. We compared rates of T2DM in relatives of children with and without a diagnosis of any or one of 11 specific psychiatric disorders, including neuropsychiatric and neurodevelopmental disorders, using Cox regression. In a genotyped sample (iPSYCH2015) of individuals born 1981-2008 (n = 134 403), we used logistic regression to estimate associations between a T2DM-PRS and these psychiatric disorders. RESULTS Among 5 235 300 relative pairs, relatives of individuals with a psychiatric disorder had an increased risk for T2DM with stronger associations for closer relatives (parents:hazard ratio = 1.38, 95% confidence interval 1.35-1.42; grandparents: 1.14, 1.13-1.15; and aunts/uncles: 1.19, 1.16-1.22). In the genetic sample, one standard deviation increase in T2DM-PRS was associated with an increased risk for any psychiatric disorder (odds ratio = 1.11, 1.08-1.14). Both familial T2DM and T2DM-PRS were significantly associated with seven of 11 psychiatric disorders, most strongly with attention-deficit/hyperactivity disorder and conduct disorder, and inversely with anorexia nervosa. CONCLUSIONS Our findings of familial co-aggregation and higher T2DM polygenic liability associated with psychiatric disorders point toward shared familial risk. This suggests that part of the comorbidity is explained by shared familial risks. The underlying mechanisms still remain largely unknown and the contributions of genetics and environment need further investigation.
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Affiliation(s)
- Theresa Wimberley
- The National Centre for Register-based Research, School of Business and Social Sciences, Aarhus University, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- Centre for Integrated Register-based Research (CIRRAU), Aarhus University, Aarhus, Denmark
| | - Isabell Brikell
- The National Centre for Register-based Research, School of Business and Social Sciences, Aarhus University, Aarhus, Denmark
- Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
| | - Aske Astrup
- The National Centre for Register-based Research, School of Business and Social Sciences, Aarhus University, Aarhus, Denmark
| | - Janne T Larsen
- The National Centre for Register-based Research, School of Business and Social Sciences, Aarhus University, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
| | - Liselotte V Petersen
- The National Centre for Register-based Research, School of Business and Social Sciences, Aarhus University, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
| | - Clara Albiñana
- The National Centre for Register-based Research, School of Business and Social Sciences, Aarhus University, Aarhus, Denmark
| | - Bjarni J Vilhjálmsson
- The National Centre for Register-based Research, School of Business and Social Sciences, Aarhus University, Aarhus, Denmark
- Bioinformatics Research Centre, Aarhus University, Aarhus, Denmark
| | - Cynthia M Bulik
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, USA
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, USA
| | - Zheng Chang
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Giuseppe Fanelli
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Janita Bralten
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Nina R Mota
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Jordi Salas-Salvadó
- Department of Biochemistry & Biotechnology, School of Medicine, IISPV, Rovira i Virgili University. Reus, Spain
- Institute of Health Pere Virgili (IISPV), Reus, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII). Madrid, Spain
| | - Fernando Fernandez-Aranda
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII). Madrid, Spain
- Clinical Psychology Unit, University Hospital Bellvitge, Hospitalet del Llobregat, Spain
- Department of Clinical Sciences, School of Medicine and Health Sciences, University of Barcelona, Hospitalet del Llobregat, Spain
- Psychoneurobiology of Eating and Addictive Behaviours Group, Bellvitge Biomedical Research Institute (IDIBELL), Hospitalet del Llobregat, Spain
| | - Monica Bulló
- Department of Biochemistry & Biotechnology, School of Medicine, IISPV, Rovira i Virgili University. Reus, Spain
- Institute of Health Pere Virgili (IISPV), Reus, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII). Madrid, Spain
- Center of Environmental, Food and Toxicological Technology - TecnATox, Rovira i Virgili University, 43201 Reus, Spain
| | - Barbara Franke
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
- Department of Cognitive Neuroscience, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Anders Børglum
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
| | - Preben B Mortensen
- The National Centre for Register-based Research, School of Business and Social Sciences, Aarhus University, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- Centre for Integrated Register-based Research (CIRRAU), Aarhus University, Aarhus, Denmark
| | - Henriette T Horsdal
- The National Centre for Register-based Research, School of Business and Social Sciences, Aarhus University, Aarhus, Denmark
| | - Søren Dalsgaard
- The National Centre for Register-based Research, School of Business and Social Sciences, Aarhus University, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- Child and Adolescent Psychiatry Mental Health Center, Copenhagen University Hospital - Mental Health Services CPH, Copenhagen, Denmark
- Department of Clinical Medicine, Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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Cortes-Flores H, Torrandell-Haro G, Brinton RD. Association between CNS-active drugs and risk of Alzheimer's and age-related neurodegenerative diseases. Front Psychiatry 2024; 15:1358568. [PMID: 38487578 PMCID: PMC10937406 DOI: 10.3389/fpsyt.2024.1358568] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Accepted: 02/08/2024] [Indexed: 03/17/2024] Open
Abstract
Objective As neuropsychiatric conditions can increase the risk of age-related neurodegenerative diseases (NDDs), the impact of CNS-active drugs on the risk of developing Alzheimer's Disease (AD), non-AD dementia, Multiple Sclerosis (MS), Parkinson's Disease (PD) and Amyotrophic Lateral Sclerosis (ALS) was investigated. Research design and methods A retrospective cohort analysis of a medical claims dataset over a 10 year span was conducted in patients aged 60 years or older. Participants were propensity score matched for comorbidity severity and demographic parameters. Relative risk (RR) ratios and 95% confidence intervals (CI) were determined for age-related NDDs. Cumulative hazard ratios and treatment duration were determined to assess the association between CNS-active drugs and NDDs at different ages and treatment duration intervals. Results In 309,128 patients who met inclusion criteria, exposure to CNS-active drugs was associated with a decreased risk of AD (0.86% vs 1.73%, RR: 0.50; 95% CI: 0.47-0.53; p <.0001) and all NDDs (3.13% vs 5.76%, RR: 0.54; 95% CI: 0.53-0.56; p <.0001). Analysis of impact of drug class on risk of AD indicated that antidepressant, sedative, anticonvulsant, and stimulant medications were associated with significantly reduced risk of AD whereas atypical antipsychotics were associated with increased AD risk. The greatest risk reduction for AD and NDDs occurred in patients aged 70 years or older with a protective effect only in patients with long-term therapy (>3 years). Furthermore, responders to these therapeutics were characterized by diagnosed obesity and higher prescriptions of anti-inflammatory drugs and menopausal hormonal therapy, compared to patients with a diagnosis of AD (non-responders). Addition of a second CNS-active drug was associated with greater reduction in AD risk compared to monotherapy, with the combination of a Z-drug and an SNRI associated with greatest AD risk reduction. Conclusion Collectively, these findings indicate that CNS-active drugs were associated with reduced risk of developing AD and other age-related NDDs. The exception was atypical antipsychotics, which increased risk. Potential use of combination therapy with atypical antipsychotics could mitigate the risk conferred by these drugs. Evidence from these analyses advance precision prevention strategies to reduce the risk of age-related NDDs in persons with neuropsychiatric disorders.
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Affiliation(s)
- Helena Cortes-Flores
- Center for Innovation in Brain Science, University of Arizona, Tucson, AZ, United States
- Department of Pharmacology, University of Arizona College of Medicine, Tucson, AZ, United States
| | - Georgina Torrandell-Haro
- Center for Innovation in Brain Science, University of Arizona, Tucson, AZ, United States
- Department of Pharmacology, University of Arizona College of Medicine, Tucson, AZ, United States
| | - Roberta Diaz Brinton
- Center for Innovation in Brain Science, University of Arizona, Tucson, AZ, United States
- Department of Pharmacology, University of Arizona College of Medicine, Tucson, AZ, United States
- Department of Neurology, University of Arizona College of Medicine, Tucson, AZ, United States
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7
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Carr RH, Eom GD, Brown EE. Attention-Deficit/Hyperactivity Disorder as a Potential Risk Factor for Dementia and Other Neurocognitive Disorders: A Systematic Review. J Alzheimers Dis 2024; 98:773-792. [PMID: 38461502 DOI: 10.3233/jad-230904] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
Background Attention-deficit/hyperactivity disorder (ADHD), a common neurodevelopmental condition now recognized to persist into older adulthood, has been postulated to be a risk factor for neurocognitive disorders given the overlap in clinical features and neurobiology, as well as the complex interplay between ADHD and known risk factors for dementia. Studies have emerged assessing this relationship, but there has not yet been a comprehensive systematic review addressing this topic. Objective To assess whether ADHD is a risk factor for neurocognitive disorders and to explore possible mechanisms for such an association. Methods A systematic review of the literature was conducted using Medline, Embase, and PsycINFO from inception until June 4, 2023. Studies were included if they assessed whether or how ADHD may be a risk factor for neurocognitive disorders. Studies were excluded if they were not primary literature, not published in a peer-reviewed journal, not in English, and/or used non-human subjects. Study quality was assessed using the QualSyst tool. Results Sixteen studies met inclusion criteria. Seven studies found a positive association between ADHD and neurocognitive disorders (all-cause dementia in four studies, Alzheimer's disease in three studies, Lewy body dementia in two studies, and mild cognitive impairment in one study). Four studies did not find an association. Five studies pertained to possible mechanisms for an association, including genetics, with minimal significant findings. Conclusions ADHD may be a risk factor for certain neurocognitive disorders, although the evidence base is limited, and the absolute risk is small. Possible explanations include genetic and lifestyle factors.
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Affiliation(s)
- Rachel H Carr
- Department of Psychiatry, University of Toronto, Toronto, Canada
| | - Gina D Eom
- Department of Psychiatry, University of Toronto, Toronto, Canada
| | - Eric E Brown
- Department of Psychiatry, University of Toronto, Toronto, Canada
- Campbell Family Mental Health Research Institute and Division of Geriatric Psychiatry, Centre for Addiction and Mental Health, Toronto, Canada
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8
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Liu M, Zhang J, Wang Y, Zhou Y, Xie F, Guo Q, Shi F, Zhang H, Wang Q, Shen D. A common spectrum underlying brain disorders across lifespan revealed by deep learning on brain networks. iScience 2023; 26:108244. [PMID: 38026184 PMCID: PMC10651682 DOI: 10.1016/j.isci.2023.108244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 09/26/2023] [Accepted: 10/16/2023] [Indexed: 12/01/2023] Open
Abstract
Brain disorders in the early and late life of humans potentially share pathological alterations in brain functions. However, the key neuroimaging evidence remains unrevealed for elucidating such commonness and the relationships among these disorders. To explore this puzzle, we build a restricted single-branch deep learning model, using multi-site functional magnetic resonance imaging data (N = 4,410, 6 sites), for classifying 5 different early- and late-life brain disorders from healthy controls (cognitively unimpaired). Our model achieves 62.6 ± 1.9% overall classification accuracy and thus supports us in detecting a set of commonly affected functional subnetworks, including default mode, executive control, visual, and limbic networks. In the deep-layer representation of data, we observe young and aging patients with disorders are continuously distributed, which is in line with the clinical concept of the "spectrum of disorders." The relationships among brain disorders from the revealed spectrum promote the understanding of disorder comorbidities and time associations in the lifespan.
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Affiliation(s)
- Mianxin Liu
- School of Biomedical Engineering, State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai 201210, China
- Shanghai Artificial Intelligence Laboratory, Shanghai 200232, China
| | - Jingyang Zhang
- School of Biomedical Engineering, State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai 201210, China
| | - Yao Wang
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200001, China
| | - Yan Zhou
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200001, China
| | - Fang Xie
- PET Center, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Qihao Guo
- Department of Gerontology, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai 200233, China
| | - Feng Shi
- Department of Research and Development, Shanghai United Imaging Intelligence Co., Ltd, Shanghai 200232, China
| | - Han Zhang
- School of Biomedical Engineering, State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai 201210, China
| | - Qian Wang
- School of Biomedical Engineering, State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai 201210, China
| | - Dinggang Shen
- School of Biomedical Engineering, State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai 201210, China
- Department of Research and Development, Shanghai United Imaging Intelligence Co., Ltd, Shanghai 200232, China
- Shanghai Clinical Research and Trial Center, Shanghai 201210, China
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9
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Praus P, Moldavski A, Alm B, Hennig O, Rösler M, Retz W. [Epidemiology, diagnostics and treatment of attention deficit-hyperactivity disorder (ADHD) in advanced age]. DER NERVENARZT 2023; 94:1043-1049. [PMID: 37747504 PMCID: PMC10620251 DOI: 10.1007/s00115-023-01548-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 08/01/2023] [Indexed: 09/26/2023]
Abstract
Current studies demonstrate a comparably high prevalence of attention deficit-hyperactivity disorder (ADHD) in advanced age. Older people affected by ADHD suffer from a severe burden of psychiatric and somatic comorbidities as well as substantial impairment of social functioning and subjective well-being. The diagnostic differentiation from neurodegenerative diseases is particularly difficult in this age group. This narrative review summarizes the current knowledge about the epidemiology of ADHD in advanced age and possible relationships between ADHD and the risk for neurodegeneration. Furthermore, recommendations for diagnostics and treatment options of ADHD in advanced age are presented.
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Affiliation(s)
- Peter Praus
- Zentralinstitut für Seelische Gesundheit, Klinik für Psychiatrie und Psychotherapie, J5, 68159, Mannheim, Deutschland.
- Pfalzklinikum für Neurologie und Psychiatrie, Klinik für Forensische Psychiatrie, Weinstraße 100, 76889, Klingenmünster, Deutschland.
| | - Alexander Moldavski
- Zentralinstitut für Seelische Gesundheit, Klinik für Psychiatrie und Psychotherapie, J5, 68159, Mannheim, Deutschland
| | - Barbara Alm
- Zentralinstitut für Seelische Gesundheit, Klinik für Psychiatrie und Psychotherapie, J5, 68159, Mannheim, Deutschland
| | - Oliver Hennig
- Zentralinstitut für Seelische Gesundheit, Klinik für Psychiatrie und Psychotherapie, J5, 68159, Mannheim, Deutschland
| | - Michael Rösler
- Institut für Gerichtliche Psychologie und Psychiatrie der Universität des Saarlandes, Universitätsklinikum des Saarlandes, 66421, Homburg/Saar, Deutschland
| | - Wolfgang Retz
- Institut für Gerichtliche Psychologie und Psychiatrie der Universität des Saarlandes, Universitätsklinikum des Saarlandes, 66421, Homburg/Saar, Deutschland
- Klinik für Psychiatrie und Psychotherapie, Universitätsmedizin Mainz, Untere Zahlbacher Straße 8, 55131, Mainz, Deutschland
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10
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Mohammadian Rasnani F, Zavieh A, Heidari A, Motamed M. From neurodevelopmental to neurodegenerative disorders: Investigating symptoms of attention deficit hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) in patients with dementia. APPLIED NEUROPSYCHOLOGY. ADULT 2023:1-10. [PMID: 37410670 DOI: 10.1080/23279095.2023.2230507] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/08/2023]
Abstract
Dementia is characterized by a progressive cognitive decline that could be caused by several disorders. Autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD) are two prevalent neurodevelopmental disorders that might overlap with dementia symptoms. Hence, this study aimed to evaluate the ASD and ADHD symptoms in dementia patients referred to a memory clinic in Iran. We recruited 65 dementia patients and instructed them to fill out the autism quotient (AQ) and the Conners' Adult ADHD Rating Scales (CAARS) questionnaires. Considering the cutoff points of AQ and CAARS questionnaires, 18.5% of participants were at higher risk of ASD, and 35.4% were at higher risk of ADHD. The results indicated that ADHD and ASD symptoms might be common comorbidities in patients with dementia which can increase the disease burden. Specialized ADHD and ASD screening tools in the elderly population with dementia are needed to prevent misdiagnoses due to symptom overlaps.
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Affiliation(s)
| | - Amir Zavieh
- Tehran University of Medical Sciences, Tehran, Iran
| | - Arash Heidari
- Research Center for Immunodeficiencies, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran
- Students' Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Mahtab Motamed
- Department of Psychiatry, Roozbeh Hospital, Tehran University of Medical Sciences, Tehran, Iran
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11
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Dobrosavljevic M, Larsson H, Cortese S. The diagnosis and treatment of attention-deficit hyperactivity disorder (ADHD) in older adults. Expert Rev Neurother 2023; 23:883-893. [PMID: 37725058 DOI: 10.1080/14737175.2023.2250913] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2023] [Accepted: 08/18/2023] [Indexed: 09/21/2023]
Abstract
INTRODUCTION There is a striking knowledge gap on ADHD in older adults, and the diagnosis as well as treatment for ADHD in this age group. AREAS COVERED The authors first review the literature on the prevalence, functional impairment, and health comorbidities of ADHD across the lifespan. Next, they address the diagnostic criteria for ADHD in adults according to the DSM/ICD, available screening/diagnostic tools, differential diagnosis, and the validity of diagnostic criteria for ADHD in older adults. Finally, the authors focus on empirical evidence on the prevalence rates, medication response, and safety of pharmacological treatment of ADHD in older adults, and national and international clinical guidelines on the treatment of ADHD in this age group. EXPERT OPINION It is expected that future editions of the DSM and ICD will provide specifiers to the standard ADHD criteria, to better inform the diagnosis of ADHD in older adults. It is also expected that the increasing number of epidemiological studies will provide rigorous estimates on the prevalence, incidence, and burden of ADHD in older adults. One may expect an increasing number of RCTs assessing the efficacy/effectiveness and tolerability/safety of pharmacological as well as non-pharmacological interventions which will inform future guidelines on ADHD in older adults.
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Affiliation(s)
- Maja Dobrosavljevic
- School of Medical Sciences, Faculty of Medicine and Health, Örebro University, Örebro, Sweden
| | - Henrik Larsson
- School of Medical Sciences, Faculty of Medicine and Health, Örebro University, Örebro, Sweden
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Samuele Cortese
- Centre for Innovation in Mental Health, School of Psychology, Life and Environmental Sciences, University of Southampton, Southampton, UK
- Clinical and Experimental Sciences (CNS and Psychiatry), Faculty of Medicine, University of Southampton, Southampton, UK
- Division of Psychiatry and Applied Psychology, School of Medicine, University of Nottingham, Nottingham, UK
- National Institute for Health Research (NIHR), Nottingham Biomedical Research Centre, Nottingham, UK
- Department of Child and Adolescent Psychiatry, New York University Child Study Center, New York, NY, USA
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12
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Solares C, Garcia-Argibay M, Chang Z, Dobrosavljevic M, Larsson H, Andershed H. Risk of dementia and mild cognitive impairment in older adults with a criminal background: a population-based register study in Sweden. Sci Rep 2023; 13:1915. [PMID: 36732577 PMCID: PMC9894846 DOI: 10.1038/s41598-023-28962-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Accepted: 01/27/2023] [Indexed: 02/04/2023] Open
Abstract
Criminal behaviour has previously been associated with an increased risk for several mental health problems, but little is known about the association between criminal behaviour and dementia. We aimed to examine how the criminal background (type of crime, number of convictions, length of the sentence) is associated with dementia and mild cognitive impairment (MCI), and how mental and physical health disorders and educational attainment influenced these associations. A nationwide cohort of 3,617,028 individuals born between 1932 and 1962 were linked with criminal and medical records using Swedish national registers. We used Cox regression models to examine the associations. Increased risks for dementia (Hazard ratios (HRs) 1.54, 95% confidence interval (CI) 1.50-1.57) and MCI (1.55, 1.50-1.61) were found in individuals with criminal background, particularly among those who committed violent or several crimes, or with long sentences. After full adjustment of covariates, the associations attenuated but remained statistically significant for dementia (1.25, 1.22-1.28) and MCI (1.27, 1.22-1.32). The attenuation was mostly explained by mental health problems -depression, anxiety, schizophrenia spectrum disorders, substance use disorder (SUD), and bipolar disorder- (dementia: 1.34, 1.31-1.37; MCI: 1.35, 1.30-1.40). SUD contributed the most to attenuate the associations. Our results may provide important insights to health and penal systems by showing the importance of considering the severity of the criminal background and life-course mental health when assessing the risk of neurodegenerative disorders.
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Affiliation(s)
- Carmen Solares
- School of Behavioural, Social and Legal Sciences, Örebro University, Fakultetsgatan 1, 701 82, Örebro, Sweden.
| | - Miguel Garcia-Argibay
- School of Medical Sciences, Örebro University, Södra Grev Rosengatan 30, 703 62, Örebro, Sweden
| | - Zheng Chang
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Maja Dobrosavljevic
- School of Medical Sciences, Örebro University, Södra Grev Rosengatan 30, 703 62, Örebro, Sweden
| | - Henrik Larsson
- School of Medical Sciences, Örebro University, Södra Grev Rosengatan 30, 703 62, Örebro, Sweden.,Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Henrik Andershed
- School of Behavioural, Social and Legal Sciences, Örebro University, Fakultetsgatan 1, 701 82, Örebro, Sweden
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13
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Grünblatt E, Homolak J, Babic Perhoc A, Davor V, Knezovic A, Osmanovic Barilar J, Riederer P, Walitza S, Tackenberg C, Salkovic-Petrisic M. From attention-deficit hyperactivity disorder to sporadic Alzheimer's disease-Wnt/mTOR pathways hypothesis. Front Neurosci 2023; 17:1104985. [PMID: 36875654 PMCID: PMC9978448 DOI: 10.3389/fnins.2023.1104985] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 01/31/2023] [Indexed: 02/18/2023] Open
Abstract
Alzheimer's disease (AD) is the most common neurodegenerative disorder with the majority of patients classified as sporadic AD (sAD), in which etiopathogenesis remains unresolved. Though sAD is argued to be a polygenic disorder, apolipoprotein E (APOE) ε4, was found three decades ago to pose the strongest genetic risk for sAD. Currently, the only clinically approved disease-modifying drugs for AD are aducanumab (Aduhelm) and lecanemab (Leqembi). All other AD treatment options are purely symptomatic with modest benefits. Similarly, attention-deficit hyperactivity disorder (ADHD), is one of the most common neurodevelopmental mental disorders in children and adolescents, acknowledged to persist in adulthood in over 60% of the patients. Moreover, for ADHD whose etiopathogenesis is not completely understood, a large proportion of patients respond well to treatment (first-line psychostimulants, e.g., methylphenidate/MPH), however, no disease-modifying therapy exists. Interestingly, cognitive impairments, executive, and memory deficits seem to be common in ADHD, but also in early stages of mild cognitive impairment (MCI), and dementia, including sAD. Therefore, one of many hypotheses is that ADHD and sAD might have similar origins or that they intercalate with one another, as shown recently that ADHD may be considered a risk factor for sAD. Intriguingly, several overlaps have been shown between the two disorders, e.g., inflammatory activation, oxidative stress, glucose and insulin pathways, wingless-INT/mammalian target of rapamycin (Wnt/mTOR) signaling, and altered lipid metabolism. Indeed, Wnt/mTOR activities were found to be modified by MPH in several ADHD studies. Wnt/mTOR was also found to play a role in sAD and in animal models of the disorder. Moreover, MPH treatment in the MCI phase was shown to be successful for apathy including some improvement in cognition, according to a recent meta-analysis. In several AD animal models, ADHD-like behavioral phenotypes have been observed indicating a possible interconnection between ADHD and AD. In this concept paper, we will discuss the various evidence in human and animal models supporting the hypothesis in which ADHD might increase the risk for sAD, with common involvement of the Wnt/mTOR-pathway leading to lifespan alteration at the neuronal levels.
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Affiliation(s)
- Edna Grünblatt
- Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric University Hospital Zurich (PUK), University of Zurich, Zurich, Switzerland.,Neuroscience Center Zurich, University of Zurich and the Swiss Federal Institute of Technology (ETH) Zurich, Zurich, Switzerland.,Zurich Center for Integrative Human Physiology, University of Zurich, Zurich, Switzerland
| | - Jan Homolak
- Department of Pharmacology and Croatian Institute for Brain Research, University of Zagreb School of Medicine, Zagreb, Croatia
| | - Ana Babic Perhoc
- Department of Pharmacology and Croatian Institute for Brain Research, University of Zagreb School of Medicine, Zagreb, Croatia
| | - Virag Davor
- Department of Pharmacology and Croatian Institute for Brain Research, University of Zagreb School of Medicine, Zagreb, Croatia
| | - Ana Knezovic
- Department of Pharmacology and Croatian Institute for Brain Research, University of Zagreb School of Medicine, Zagreb, Croatia
| | - Jelena Osmanovic Barilar
- Department of Pharmacology and Croatian Institute for Brain Research, University of Zagreb School of Medicine, Zagreb, Croatia
| | - Peter Riederer
- Department of Psychiatry, Psychosomatics and Psychotherapy, Center of Mental Health, University Hospital Würzburg, Würzburg, Germany.,Department and Research Unit of Psychiatry, Institute of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Susanne Walitza
- Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric University Hospital Zurich (PUK), University of Zurich, Zurich, Switzerland.,Neuroscience Center Zurich, University of Zurich and the Swiss Federal Institute of Technology (ETH) Zurich, Zurich, Switzerland.,Zurich Center for Integrative Human Physiology, University of Zurich, Zurich, Switzerland
| | - Christian Tackenberg
- Neuroscience Center Zurich, University of Zurich and the Swiss Federal Institute of Technology (ETH) Zurich, Zurich, Switzerland.,Institute for Regenerative Medicine (IREM), University of Zurich, Schlieren, Switzerland
| | - Melita Salkovic-Petrisic
- Department of Pharmacology and Croatian Institute for Brain Research, University of Zagreb School of Medicine, Zagreb, Croatia
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14
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Knez R, Stevanovic D, Fernell E, Gillberg C. Orexin/Hypocretin System Dysfunction in ESSENCE (Early Symptomatic Syndromes Eliciting Neurodevelopmental Clinical Examinations). Neuropsychiatr Dis Treat 2022; 18:2683-2702. [PMID: 36411777 PMCID: PMC9675327 DOI: 10.2147/ndt.s358373] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Accepted: 07/28/2022] [Indexed: 11/17/2022] Open
Abstract
Early Symptomatic Syndromes Eliciting Neurodevelopmental Clinical Examinations (ESSENCE) is an umbrella term covering a wide range of neurodevelopmental difficulties and disorders. Thus, ESSENCE includes attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder (ASD), and other neurodevelopmental disorders (NDDs) and difficulties, with a variety of symptoms in cognitive, motor, sensory, social, arousal, regulatory, emotional, and behavioral developmental domains, frequently co-occurring and likely having partly common neurobiological substrates. The ESSENCE concept is a clinical paradigm that promotes organizing NDDs in everyday clinical practice according to their coexistence, symptom dimensions overlapping, and treatment possibilities. Despite increased knowledge regarding NDDs, the neurobiological mechanisms that underlie them and other ESSENCE-related problems, are not well understood. With its wide range of neural circuits and interactions with numerous neurotransmitters, the orexin/hypocretin system (Orx-S) is possibly associated with a variety of neurocognitive, psychobiological, neuroendocrine, and physiological functions and behaviors. Dysfunction of Orx-S has been implicated in various psychiatric and neurological disorders. This article provides an overview of Orx-S dysfunctions' possible involvement in the development, presentation, and maintenance of ESSENCE. We provide a focused review of current research evidence linking orexin neuropeptides with specific clinical NDDs symptoms, mostly in ADHD and ASD, within the Research Domain Criteria (RDoC) framework. We propose that Orx-S dysfunction might have an important role in some of these neurodevelopmental symptom domains, such as arousal, wakefulness, sleep, motor and sensory processing, mood and emotional regulation, fear processing, reward, feeding, attention, executive functions, and sociability. Our perspective is presented from a clinical point of view. Further, more thorough systematic reviews are needed as well as planning of extensive new research into the Orx-S's role in ESSENCE, especially considering RDoC elements.
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Affiliation(s)
- Rajna Knez
- Gillberg Neuropsychiatry Centre, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Pediatrics, Skaraborg Hospital, Skövde, Sweden
- School of Health Sciences, University of Skövde, Skövde, Sweden
| | - Dejan Stevanovic
- Gillberg Neuropsychiatry Centre, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Elisabeth Fernell
- Gillberg Neuropsychiatry Centre, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Christopher Gillberg
- Gillberg Neuropsychiatry Centre, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
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15
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Exploring the causal effects of genetic liability to ADHD and Autism on Alzheimer's disease. Transl Psychiatry 2022; 12:422. [PMID: 36182936 PMCID: PMC9526708 DOI: 10.1038/s41398-022-02150-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 08/25/2022] [Accepted: 09/02/2022] [Indexed: 11/08/2022] Open
Abstract
Few studies suggest possible links between attention deficit hyperactivity disorder (ADHD), autism spectrum disorder (ASD) and Alzheimer's disease but they have been limited by small sample sizes, diagnostic and recall bias. We used two-sample Mendelian randomization (MR) to estimate the bidirectional causal association between genetic liability to ADHD and ASD on Alzheimer's disease. In addition, we estimated the causal effects independently of educational attainment and IQ, through multivariable Mendelian randomization (MVMR). We employed genetic variants associated with ADHD (20,183 cases/35,191 controls), ASD (18,381 cases/27,969 controls), Alzheimer's disease (71,880 cases/383,378 controls), educational attainment (n = 766,345) and IQ (n = 269,867) using the largest GWAS of European ancestry. There was limited evidence to suggest a causal effect of genetic liability to ADHD (odds ratio [OR] = 1.00, 95% CI: 0.98-1.02, P = 0.39) or ASD (OR = 0.99, 95% CI: 0.97-1.01, P = 0.70) on Alzheimer's disease. Similar causal effect estimates were identified as direct effects, independent of educational attainment (ADHD: OR = 1.00, 95% CI: 0.99-1.01, P = 0.76; ASD: OR = 0.99, 95% CI: 0.98-1.00, P = 0.28) and IQ (ADHD: OR = 1.00, 95% CI: 0.99-1.02. P = 0.29; ASD: OR = 0.99, 95% CI: 0.98-1.01, P = 0.99). Genetic liability to Alzheimer's disease was not found to have a causal effect on risk of ADHD or ASD (ADHD: OR = 1.12, 95% CI: 0.86-1.44, P = 0.37; ASD: OR = 1.19, 95% CI: 0.94-1.51, P = 0.14). We found limited evidence to suggest a causal effect of genetic liability to ADHD or ASD on Alzheimer's disease; and vice versa.
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16
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Cortese S, Sabé M, Chen C, Perroud N, Solmi M. Half a century of research on Attention-Deficit/Hyperactivity Disorder: a scientometric study. Neurosci Biobehav Rev 2022; 140:104769. [DOI: 10.1016/j.neubiorev.2022.104769] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Revised: 06/28/2022] [Accepted: 07/02/2022] [Indexed: 10/17/2022]
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17
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Tag SH, Kim B, Bae J, Chang KA, Im HI. Neuropathological and behavioral features of an APP/PS1/MAPT (6xTg) transgenic model of Alzheimer’s disease. Mol Brain 2022; 15:51. [PMID: 35676711 PMCID: PMC9175339 DOI: 10.1186/s13041-022-00933-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Accepted: 05/14/2022] [Indexed: 11/30/2022] Open
Abstract
Alzheimer's disease is associated with various brain dysfunctions, including memory impairment, neuronal loss, astrocyte activation, amyloid-β plaques, and neurofibrillary tangles. Transgenic animal models of Alzheimer's disease have proven to be invaluable for the basic research of Alzheimer's disease. However, Alzheimer's disease mouse models developed so far do not fully recapitulate the pathological and behavioral features reminiscent of Alzheimer's disease in humans. Here, we investigated the neurobehavioral sequelae in the novel 6xTg mouse model of Alzheimer's disease, which was developed by incorporating human tau containing P301L mutation in the widely used 5xFAD mouse model of Alzheimer's disease. At 11-months-old, 6xTg mice displayed the core pathological processes found in Alzheimer's disease, including accumulation of amyloid-β plaque, extensive neuronal loss, elevated level of astrocyte activation, and abnormal tau phosphorylation in the brain. At 9 to 11-months-old, 6xTg mice exhibited both cognitive and non-cognitive behavioral impairments relevant to Alzheimer’s disease, including memory loss, hyperlocomotion, anxiety-like behavior, depression-like behavior, and reduced sensorimotor gating. Our data suggest that the aged 6xTg mouse model of Alzheimer's disease presents pathological and cognitive-behavioral features reminiscent of Alzheimer's disease in humans. Thus, the 6xTg mouse model of Alzheimer's disease may be a valuable model for studying Alzheimer’s disease-relevant non-cognitive behaviors.
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18
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Wei T, Guo Z, Wang Z, Li C, Zhu W, Zheng Y, Yin Y, Mi Y, Xia X, Hou H, Tang Y. Five Major Psychiatric Disorders and Alzheimer’s Disease: A Bidirectional Mendelian Randomization Study. J Alzheimers Dis 2022; 87:675-684. [PMID: 35367968 DOI: 10.3233/jad-220010] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Background: Extensive studies put forward the association between Alzheimer’s disease (AD) and psychiatric disorders; however, it remains unclear whether these associations are causal. Objective: We aimed to assess the potential causal relationship between major psychiatric disorders and AD. Methods: A bidirectional two-sample Mendelian randomization (MR) was applied to evaluate potential causality between five psychiatric disorders and AD by selecting the single-nucleotide polymorphisms from the genome-wide association studies as instrumental variables. Inverse-variance weighted (IVW) method was used as the main analyzing approach to estimate possible causal effects, alternative methods including MR-Egger, the MR pleiotropy residual sum and outlier, and leave-one-out analysis method were implemented as sensitivity analyzing approaches to ensure the robustness of results. Results: All forward and reverse MR analyses consistently suggested absent causal relations between psychiatric disorders and AD risk [forward IVW: ORADHD, 1.030, 95% CI, 0.908–1.168, p = 0.674; ORanxiety disorders, 0.904, 95% CI, 0.722–1.131, p = 0.377; ORASD, 0.973, 95% CI, 0.746–1.272, p = 0.846; ORBIP, 1.033, 95% CI, 0.925–1.153, p = 0.564; and ORschizophrenia, 1.039, 95% CI, 0.986–1.095, p = 0.156; reverse IVW: ORADHD, 0.993, 95% CI, 0.954–1.034, p = 0.746; ORanxiety disorders, 1.000, 95% CI, 0.999–1.000, p = 0.898; ORASD, 1.001, 95% CI, 0.962–1.042, p = 0.949; ORBIP, 0.997, 95% CI, 0.966–1.028, p = 0.831; and ORschizophrenia, 1.013, 95% CI, 0.978–1.051, p = 0.466]. Conclusion: There is no significant evidence supporting the causal association between the five major psychiatric disorders and AD.
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Affiliation(s)
- Tao Wei
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, Capital Medical
| | - Zheng Guo
- Centre for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Perth, 8 Australia
| | - Zhibin Wang
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, Capital Medical
| | - Cancan Li
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian China
| | - Wei Zhu
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, Capital Medical
| | - Yulu Zheng
- Centre for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Perth, 8 Australia
| | - Yunsi Yin
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, Capital Medical
| | - Yingxin Mi
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, Capital Medical
| | - Xinyi Xia
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, Capital Medical
| | - Haifeng Hou
- Centre for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Perth, 8 Australia
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian China
| | - Yi Tang
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, Capital Medical
- Neurodegenerative Laboratory of Ministry of Education of the Peoples Republic of China, Beijing, China
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Becker S, Sharma MJ, Callahan BL. ADHD and Neurodegenerative Disease Risk: A Critical Examination of the Evidence. Front Aging Neurosci 2022; 13:826213. [PMID: 35145394 PMCID: PMC8822599 DOI: 10.3389/fnagi.2021.826213] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 12/28/2021] [Indexed: 11/29/2022] Open
Abstract
In this review, we undertake a critical appraisal of eight published studies providing first evidence that a history of attention-deficit/hyperactivity disorder (ADHD) may increase risk for the later-life development of a neurodegenerative disease, in particular Lewy body diseases (LBD), by up to five-fold. Most of these studies have used data linked to health records in large population registers and include impressive sample sizes and adequate follow-up periods. We identify a number of methodological limitations as well, including potential diagnostic inaccuracies arising from the use of electronic health records, biases in the measurement of ADHD status and symptoms, and concerns surrounding the representativeness of ADHD and LBD cohorts. Consequently, previously reported risk associations may have been underestimated due to the high likelihood of potentially missed ADHD cases in groups used as “controls”, or alternatively previous estimates may be inflated due to the inclusion of confounding comorbidities or non-ADHD cases within “exposed” groups that may have better accounted for dementia risk. Prospective longitudinal studies involving well-characterized cases and controls are recommended to provide some reassurance about the validity of neurodegenerative risk estimates in ADHD.
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Affiliation(s)
- Sara Becker
- Department of Psychology, University of Calgary, Calgary, AB, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Manu J. Sharma
- Department of Psychology, University of Calgary, Calgary, AB, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Brandy L. Callahan
- Department of Psychology, University of Calgary, Calgary, AB, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
- *Correspondence: Brandy L. Callahan
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