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Wiels WA, Oomens JE, Engelborghs S, Baeken C, von Arnim CA, Boada M, Didic M, Dubois B, Fladby T, van der Flier WM, Frisoni GB, Fröhlich L, Gill KD, Grimmer T, Hildebrandt H, Hort J, Itoh Y, Iwatsubo T, Klimkowicz-Mrowiec A, Lee DY, Lleó A, Martinez-Lage P, de Mendonça A, Meyer PT, Kapaki EN, Parchi P, Pardini M, Parnetti L, Popp J, Rami L, Reiman EM, Rinne JO, Rodrigue KM, Sánchez-Juan P, Santana I, Sarazin M, Scarmeas N, Skoog I, Snyder PJ, Sperling RA, Villeneuve S, Wallin A, Wiltfang J, Zetterberg H, Ossenkoppele R, Verhey FRJ, Vos SJB, Visser PJ, Jansen WJ. Depressive Symptoms and Amyloid Pathology. JAMA Psychiatry 2025; 82:296-310. [PMID: 39841452 PMCID: PMC11883504 DOI: 10.1001/jamapsychiatry.2024.4305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2024] [Accepted: 09/09/2024] [Indexed: 01/23/2025]
Abstract
Importance Depressive symptoms are associated with cognitive decline in older individuals. Uncertainty about underlying mechanisms hampers diagnostic and therapeutic efforts. This large-scale study aimed to elucidate the association between depressive symptoms and amyloid pathology. Objective To examine the association between depressive symptoms and amyloid pathology and its dependency on age, sex, education, and APOE genotype in older individuals without dementia. Design, Setting, and Participants Cross-sectional analyses were performed using data from the Amyloid Biomarker Study data pooling initiative. Data from 49 research, population-based, and memory clinic studies were pooled and harmonized. The Amyloid Biomarker Study has been collecting data since 2012 and data collection is ongoing. At the time of analysis, 95 centers were included in the Amyloid Biomarker Study. The study included 9746 individuals with normal cognition (NC) and 3023 participants with mild cognitive impairment (MCI) aged between 34 and 100 years for whom data on amyloid biomarkers, presence of depressive symptoms, and age were available. Data were analyzed from December 2022 to February 2024. Main Outcomes and Measures Amyloid-β1-42 levels in cerebrospinal fluid or amyloid positron emission tomography scans were used to determine presence or absence of amyloid pathology. Presence of depressive symptoms was determined on the basis of validated depression rating scale scores, evidence of a current clinical diagnosis of depression, or self-reported depressive symptoms. Results In individuals with NC (mean [SD] age, 68.6 [8.9] years; 5664 [58.2%] female; 3002 [34.0%] APOE ε4 carriers; 937 [9.6%] had depressive symptoms; 2648 [27.2%] had amyloid pathology), the presence of depressive symptoms was not associated with amyloid pathology (odds ratio [OR], 1.13; 95% CI, 0.90-1.40; P = .29). In individuals with MCI (mean [SD] age, 70.2 [8.7] years; 1481 [49.0%] female; 1046 [44.8%] APOE ε4 carriers; 824 [27.3%] had depressive symptoms; 1668 [55.8%] had amyloid pathology), the presence of depressive symptoms was associated with a lower likelihood of amyloid pathology (OR, 0.73; 95% CI 0.61-0.89; P = .001). When considering subgroup effects, in individuals with NC, the presence of depressive symptoms was associated with a higher frequency of amyloid pathology in APOE ε4 noncarriers (mean difference, 5.0%; 95% CI 1.0-9.0; P = .02) but not in APOE ε4 carriers. This was not the case in individuals with MCI. Conclusions and Relevance Depressive symptoms were not consistently associated with a higher frequency of amyloid pathology in participants with NC and were associated with a lower likelihood of amyloid pathology in participants with MCI. These findings were not influenced by age, sex, or education level. Mechanisms other than amyloid accumulation may commonly underlie depressive symptoms in late life.
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Affiliation(s)
- Wietse A. Wiels
- Faculty of Medicine and Pharmacy, Vrije Universiteit Brussel, Brussels, Belgium
- Department of Neurology, Onze-Lieve-Vrouw Hospital, Aalst, Belgium
| | - Julie E. Oomens
- Department of Psychiatry & Neuropsychology, Alzheimer Center Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Sebastiaan Engelborghs
- Vrije Universiteit Brussel, Center for Neurosciences, Neuroprotection & Neuromodulation Research Group, Brussels, Belgium
- Departments of Neurology and Psychiatry and Bru-BRAIN, Universitair Ziekenhuis Brussel, Brussels, Belgium
- Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
| | - Chris Baeken
- Vrije Universiteit Brussel, Center for Neurosciences, Neuroprotection & Neuromodulation Research Group, Brussels, Belgium
- Departments of Neurology and Psychiatry and Bru-BRAIN, Universitair Ziekenhuis Brussel, Brussels, Belgium
- Department of Head and Skin, Ghent Experimental Psychiatry Lab, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
- Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands
| | - Christine A.F. von Arnim
- Department of Geriatrics, University of Goettingen Medical School, Goettingen, Germany
- Clinic for Neurogeriatrics and Neurological Rehabilitation, University and Rehabilitation Hospital Ulm, Ulm, Germany
| | - Mercè Boada
- Ace Alzheimer Center Barcelona – Universitat Internacional de Catalunya, Barcelona, Spain
- Centre for Biomedical Research Network on Neurodegenerative Diseases, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Mira Didic
- Assitance Publique des Hopitaux de Marseille, Timone, Service de Neurologie et Neuropsychologie, Hôpital Timone Adultes, Marseille, France
- Aix Marseille University, National Institute of Health and Medical Research, Neurosciences des Systèmes, Marseille, France
| | - Bruno Dubois
- Department of Neurology, Institut de la Mémoire et de la Maladie d’Alzheimer, Centre de Référence Démences Rares, Hôpital de la Pitié-Salpêtrière, Assistance Publique– Hôpitaux de Paris, Paris, France
| | - Tormod Fladby
- Department of Neurology, Akershus University Hospital, Lorenskog, Norway
| | - Wiesje M. van der Flier
- Department of Neurology, Alzheimer Centre Amsterdam, Amsterdam Neuroscience, Amsterdam University Medical Centers location Vrije Universiteit Medical Center, Amsterdam, Amsterdam, the Netherlands
- Epidemiology and Data Science, Vrije Universiteit Amsterdam, Amsterdam University Medical Centers, location Vrije Universiteit Medical Center, Amsterdam, the Netherlands
| | - Giovanni B. Frisoni
- Memory Clinic, University Hospitals and University of Geneva, Geneva, Switzerland
| | - Lutz Fröhlich
- Department of Geriatric Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Kiran Dip Gill
- Department of Biochemistry, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Timo Grimmer
- Department of Psychiatry and Psychotherapy, Klinikum rechts der Isar, Technical University of Munich, School of Medicine and Health, Munich, Germany
| | - Helmut Hildebrandt
- Klinikum Bremen-Ost, University of Oldenburg, Institute of Psychology, Oldenburg, Germany
| | - Jakub Hort
- Department of Neurology, Second Faculty of Medicine, Charles University and Motol University Hospital, Prague, Czech Republic
| | - Yoshiaki Itoh
- Department of Neurology, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan
| | - Takeshi Iwatsubo
- Graduate School of Medicine and Faculty of Medicine, The University of Tokyo, Tokyo, Japan
| | - Aleksandra Klimkowicz-Mrowiec
- Department of Internal Medicine and Gerontology, Faculty of Medicine, Jagiellonian University Medical College, Krakow, Poland
| | - Dong Young Lee
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Alberto Lleó
- Centre for Biomedical Research Network on Neurodegenerative Diseases, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
- Memory Unit, Neurology Department, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
| | - Pablo Martinez-Lage
- Center for Research and Advanced Therapies, Cita-Alzheimer Foundation, Donostia-San Sebastian, Spain
| | | | - Philipp T. Meyer
- Department of Nuclear Medicine, Medical Center – University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Elisabeth N. Kapaki
- National and Kapodistrian University of Athens, School of Medicine, 1st Department of Neurology, Eginition Hospital, Athens, Greece
| | - Piero Parchi
- Istituto delle Scienze Neurologiche di Bologna, Scientific Institute for Research, Hospitalization and Healthcare, Bologna, Italy
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Matteo Pardini
- Department of Neurosciences, Rehabilitation, Ophthalmology and Maternal-Fetal Medicine, University of Genoa, Genoa, Italy
| | - Lucilla Parnetti
- Centro Disturbi della Memoria, Laboratorio di Neurochimica Clinica, Clinica Neurologica, Università di Perugia, Perugia, Italy
| | - Julius Popp
- Department of Geriatric Psychiatry, University Hospital of Psychiatry Zürich and University of Zürich, Zürich, Switzerland
- Old Age Psychiatry, Department of Psychiatry, University Hospital of Lausanne and University of Lausanne, Lausanne, Switzerland
| | - Lorena Rami
- Alzheimer’s Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic of Barcelona, August Pi i Sunyer Biomedical Research Institute, Barcelona, Spain
| | | | - Juha O. Rinne
- Turku Positron Emission Tomography Centre, University of Turku, Turku, Finland
| | - Karen M. Rodrigue
- Center for Vital Longevity, School of Behavioral and Brain Sciences, The University of Texas at Dallas, Richardson
| | - Pascual Sánchez-Juan
- Centre for Biomedical Research Network on Neurodegenerative Diseases, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
- Alzheimer’s Centre Reina Sofia, Fundación Centro de Investigación de Enfermedades Neurológicas, Carlos III Institute of Health, Madrid, Spain
| | - Isabel Santana
- Faculty of Medicine, University of Coimbra, Coimbra, Portugal
- Center for Neuroscience and Cell Biology, Centre for Innovative Biomedicine and Biotechnology, University of Coimbra, Coimbra, Portugal
- Neurology Department and Laboratory of Neurochemistry, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
| | - Marie Sarazin
- Department of Neurology of Memory and Language, Groupe Hospitalier Universitaire Paris Psychiatry and Neurosciences, Hôpital Sainte Anne, Paris, France
- Paris-Saclay University, BioMaps, Inserm, Commissariat à l'énergie atomique et aux énergies alternatives, Service Hospitalier Frederic Joliot, Orsay, France
| | - Nikolaos Scarmeas
- 1st Department of Neurology, Aiginition Hospital, National and Kapodistrian University of Athens, Medical School, Athens, Greece
- Department of Neurology, Columbia University, New York City, New York
| | - Ingmar Skoog
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
| | - Peter J. Snyder
- Department of Biomedical and Pharmaceutical Sciences, College of Pharmacy, The University of Rhode Island, Kingston
| | - Reisa A. Sperling
- Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
- Harvard Aging Brain Study, Department of Neurology, Harvard Medical School, Boston, Massachusetts
| | - Sylvia Villeneuve
- McConnell Brain Imaging Centre, Montreal Neurological Institute, Montreal, Quebec, Canada
- Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
- Douglas Mental Health University Institute, Montreal, Quebec, Canada
| | - Anders Wallin
- Cognitive Medicine Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
| | - Jens Wiltfang
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany
- Center of Neurology, Department of Neurodegeneration and Hertie-Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, University College London Queen Square Institute of Neurology, London, United Kingdom
- United Kingdom Dementia Research Institute, London, United Kingdom
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison
| | - Rik Ossenkoppele
- Memory Clinic, University Hospitals and University of Geneva, Geneva, Switzerland
- Clinical Memory Research Unit, Department of Clinical Sciences, Lund University, Lund, Sweden
| | - Frans R. J. Verhey
- Department of Psychiatry & Neuropsychology, Alzheimer Center Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Stephanie J. B. Vos
- Department of Psychiatry & Neuropsychology, Alzheimer Center Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Pieter Jelle Visser
- Department of Psychiatry & Neuropsychology, Alzheimer Center Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
- Department of Neurology, Akershus University Hospital, Lorenskog, Norway
- Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Willemijn J. Jansen
- Department of Psychiatry & Neuropsychology, Alzheimer Center Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
- Banner Alzheimer’s Institute, Phoenix, Arizona
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Twait EL, Kamarioti M, Verberk IMW, Teunissen CE, Nooyens ACJ, Monique Verschuren WM, Visser PJ, Huisman M, Kok AAL, Eline Slagboom P, Beekman M, Vojinovic D, Lakenberg N, Arfan Ikram M, Schuurmans IK, Wolters FJ, Moonen JEF, Gerritsen L, van der Flier WM, Geerlings MI. Depressive Symptoms and Plasma Markers of Alzheimer's Disease and Neurodegeneration: A Coordinated Meta-Analysis of 8 Cohort Studies. Am J Geriatr Psychiatry 2024; 32:1141-1153. [PMID: 38553327 DOI: 10.1016/j.jagp.2024.03.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 02/22/2024] [Accepted: 03/06/2024] [Indexed: 08/11/2024]
Abstract
BACKGROUND Depressive symptoms are associated with an increased risk of Alzheimer's disease (AD). There has been a recent emergence in plasma biomarkers for AD pathophysiology, such as amyloid-beta (Aβ) and phosphorylated tau (p-tau), as well as for axonal damage (neurofilament light, NfL) and astrocytic activation (glial fibrillary acidic protein, GFAP). Hypothesizing that depressive symptoms may occur along the AD process, we investigated associations between plasma biomarkers of AD with depressive symptoms in individuals without dementia. METHODS A two-stage meta-analysis was performed on 2 clinic-based and 6 population-based cohorts (N = 7210) as part of the Netherlands Consortium of Dementia Cohorts. Plasma markers (Aβ42/40, p-tau181, NfL, and GFAP) were measured using Single Molecular Array (Simoa; Quanterix) assays. Depressive symptoms were measured with validated questionnaires. We estimated the cross-sectional association of each standardized plasma marker (determinants) with standardized depressive symptoms (outcome) using linear regressions, correcting for age, sex, education, and APOE ε4 allele presence, as well as subgrouping by sex and APOE ε4 allele. Effect estimates were entered into a random-effects meta-analysis. RESULTS Mean age of participants was 71 years. The prevalence of clinically relevant depressive symptoms ranged from 1% to 22%. None of the plasma markers were associated with depressive symptoms in the meta-analyses. However, NfL was associated with depressive symptoms only in APOE ε4 carriers (β 0.11; 95% CI: 0.05-0.17). CONCLUSIONS Late-life depressive symptoms did not show an association to plasma biomarkers of AD pathology. However, in APOE ε4 allele carriers, a more profound role of neurodegeneration was suggested with depressive symptoms.
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Affiliation(s)
- Emma L Twait
- Julius Center for Health Sciences and Primary Care (ELT, MK, WMMV, MIG), University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands; Amsterdam UMC, Location Vrije Universiteit (ELT), Department of General Practice, Amsterdam Public Health, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Maria Kamarioti
- Julius Center for Health Sciences and Primary Care (ELT, MK, WMMV, MIG), University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands
| | - Inge M W Verberk
- Neurochemistry Laboratory (IMWV, CET), Department of Laboratory Medicine, Amsterdam Neuroscience, Neurodegeneration, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Charlotte E Teunissen
- Neurochemistry Laboratory (IMWV, CET), Department of Laboratory Medicine, Amsterdam Neuroscience, Neurodegeneration, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Astrid C J Nooyens
- National Institute for Public Health and the Environment (ACJN, WMMV), Bilthoven, The Netherlands
| | - W M Monique Verschuren
- Julius Center for Health Sciences and Primary Care (ELT, MK, WMMV, MIG), University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands; National Institute for Public Health and the Environment (ACJN, WMMV), Bilthoven, The Netherlands
| | - Pieter Jelle Visser
- Alzheimer Center Amsterdam (PJV, JEFM, WMF), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands; Department of Psychiatry and Neuropsychology (PJV), School for Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht University, Maastricht, The Netherlands
| | - Martijn Huisman
- Amsterdam UMC Location Vrije Universiteit Amsterdam (MH, AALK, WMF), Epidemiology and Data Science, Amsterdam, The Netherlands; Department of Sociology, Faculty of Social Sciences (MH), Vrije Universiteit Amsterdam, Amsterdam, The Netherlands; Amsterdam Public Health (MH, AALK), Ageing and Later Life, Amsterdam, The Netherlands
| | - Almar A L Kok
- Amsterdam UMC Location Vrije Universiteit Amsterdam (MH, AALK, WMF), Epidemiology and Data Science, Amsterdam, The Netherlands; Amsterdam Public Health (MH, AALK), Ageing and Later Life, Amsterdam, The Netherlands
| | - P Eline Slagboom
- Molecular Epidemiology (PES, MB, DV, NL), Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
| | - Marian Beekman
- Molecular Epidemiology (PES, MB, DV, NL), Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
| | - Dina Vojinovic
- Molecular Epidemiology (PES, MB, DV, NL), Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands; Department of Epidemiology (DV, MAI, IKS, FJW), Erasmus University Medical Center, Rotterdam, Netherlands
| | - Nico Lakenberg
- Molecular Epidemiology (PES, MB, DV, NL), Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
| | - M Arfan Ikram
- Department of Epidemiology (DV, MAI, IKS, FJW), Erasmus University Medical Center, Rotterdam, Netherlands; Harvard T.H. Chan School of Public Health (MAI), Boston, MA
| | - Isabel K Schuurmans
- Department of Epidemiology (DV, MAI, IKS, FJW), Erasmus University Medical Center, Rotterdam, Netherlands
| | - Frank J Wolters
- Department of Epidemiology (DV, MAI, IKS, FJW), Erasmus University Medical Center, Rotterdam, Netherlands; Department of Radiology & Nuclear Medicine (FJW), Erasmus MC, Rotterdam The Netherlands
| | - Justine E F Moonen
- Alzheimer Center Amsterdam (PJV, JEFM, WMF), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
| | - Lotte Gerritsen
- Department of Psychology (LG) Utrecht University, Utrecht, The Netherlands
| | - Wiesje M van der Flier
- Alzheimer Center Amsterdam (PJV, JEFM, WMF), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands; Amsterdam UMC Location Vrije Universiteit Amsterdam (MH, AALK, WMF), Epidemiology and Data Science, Amsterdam, The Netherlands
| | - Mirjam I Geerlings
- Julius Center for Health Sciences and Primary Care (ELT, MK, WMMV, MIG), University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands; Amsterdam UMC (MIG), Location University of Amsterdam, Department of General Practice, Amsterdam Public Health, Amsterdam Neuroscience, Amsterdam, The Netherlands.
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Wei YC, Kung YC, Lin C, Yeh CH, Chen PY, Huang WY, Shyu YC, Lin CP, Chen CK. Differential neuropsychiatric associations of plasma biomarkers in older adults with major depression and subjective cognitive decline. Transl Psychiatry 2024; 14:333. [PMID: 39152102 PMCID: PMC11329686 DOI: 10.1038/s41398-024-03049-w] [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: 07/19/2023] [Revised: 06/23/2024] [Accepted: 08/05/2024] [Indexed: 08/19/2024] Open
Abstract
Older adults with major depressive disorder (MDD) or early cognitive decline during the subjective cognitive decline (SCD) stage may exhibit neuropsychiatric symptoms such as anxiety, depression, and subtle cognitive impairment. The clinicopathological features and biological mechanisms of MDD differ from those of SCD among older adults; these conditions thus require different treatment strategies. This study enrolled 82 participants above 50 years old with normal cognitive levels from the communities to examine biomarker-behavior correlations between MDD (n = 23) and SCD (n = 23) relative to a normal control (NC) group (n = 36). Multidomain assessments were performed for all participants, including immunomagnetic reduction tests to detect plasma beta-amyloid (Aβ), total tau (Tau), phosphorylated tau-181 (p-Tau181), neurofilament light chain, and glial fibrillary acidic protein (GFAP). This study observed that depressive symptoms in MDD were associated with amyloid pathology (plasma Aβ40 vs. HADS-D: R = 0.45, p = 0.031; Aβ42/Aβ40 vs. HADS-D: R = -0.47, p = 0.024), which was not observed in the NC (group difference p < 0.05). Moreover, cognitive decline in MDD was distinguished by a mixed neurodegenerative process involving amyloid (plasma Aβ42 vs. facial memory test: R = 0.48, p = 0.025), tau (Tau/Aβ42 vs. digit symbol substitution test (DSST): R = -0.53, p = 0.01), and astrocytic injury (plasma GFAP vs. Montreal cognitive assessment score: R = -0.44, p = 0.038; plasma GFAP vs. DSST: R = -0.52, p = 0.014), findings that did not apply to the NC (group difference p < 0.05). Moreover, this study revealed different biomarker-behavior correlations between individuals with SCD and the NC. Compared with the NC, cognitive decline in the SCD group might be unrelated to amyloid pathology and instead might be early manifestations of tau pathology. This study underscores the difference in clinicopathological features between MDD and SCD among older adults, which differ from those of the NC. These findings enhance our understanding of the mechanisms underlying MDD and SCD in older individuals.
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Affiliation(s)
- Yi-Chia Wei
- Department of Neurology, Chang Gung Memorial Hospital, Keelung, 204, Taiwan
- Community Medicine Research Center, Chang Gung Memorial Hospital, Keelung, 204, Taiwan
- Institute of Neuroscience, National Yang Ming Chiao Tung University, Taipei, 112, Taiwan
- College of Medicine, Chang Gung University, Taoyuan, 333, Taiwan
| | - Yi-Chia Kung
- Department of Radiology, Tri-Service General Hospital, Taipei, 114, Taiwan
| | - Chemin Lin
- Community Medicine Research Center, Chang Gung Memorial Hospital, Keelung, 204, Taiwan
- College of Medicine, Chang Gung University, Taoyuan, 333, Taiwan
- Department of Psychiatry, Chang Gung Memorial Hospital, Keelung, 204, Taiwan
| | - Chun-Hung Yeh
- Department of Medical Imaging and Radiological Sciences, Chang Gung University, Taoyuan, 333, Taiwan
- Department of Psychiatry, Chang Gung Memorial Hospital at Linkou, Taoyuan, 333, Taiwan
| | - Pin-Yuan Chen
- Community Medicine Research Center, Chang Gung Memorial Hospital, Keelung, 204, Taiwan
- College of Medicine, Chang Gung University, Taoyuan, 333, Taiwan
- Department of Neurosurgery, Chang Gung Memorial Hospital, Keelung, 204, Taiwan
| | - Wen-Yi Huang
- Department of Neurology, Chang Gung Memorial Hospital, Keelung, 204, Taiwan
- College of Medicine, Chang Gung University, Taoyuan, 333, Taiwan
| | - Yu-Chiau Shyu
- Community Medicine Research Center, Chang Gung Memorial Hospital, Keelung, 204, Taiwan
- Department of Nursing, Chang Gung University of Science and Technology, Taoyuan, 333, Taiwan
| | - Ching-Po Lin
- Institute of Neuroscience, National Yang Ming Chiao Tung University, Taipei, 112, Taiwan.
- Department of Education and Research, Taipei City Hospital, Taipei, 103, Taiwan.
| | - Chih-Ken Chen
- Community Medicine Research Center, Chang Gung Memorial Hospital, Keelung, 204, Taiwan.
- College of Medicine, Chang Gung University, Taoyuan, 333, Taiwan.
- Department of Psychiatry, Chang Gung Memorial Hospital, Keelung, 204, Taiwan.
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Pradeepkiran JA, Baig J, Islam MA, Kshirsagar S, Reddy PH. Amyloid-β and Phosphorylated Tau are the Key Biomarkers and Predictors of Alzheimer's Disease. Aging Dis 2024; 16:658-682. [PMID: 38739937 PMCID: PMC11964437 DOI: 10.14336/ad.2024.0286] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Accepted: 04/24/2024] [Indexed: 05/16/2024] Open
Abstract
Alzheimer's disease (AD) is a age-related neurodegenerative disease and is a major public health concern both in Texas, US and Worldwide. This neurodegenerative disease is mainly characterized by amyloid-beta (Aβ) and phosphorylated Tau (p-Tau) accumulation in the brains of patients with AD and increasing evidence suggests that these are key biomarkers in AD. Both Aβ and p-tau can be detected through various imaging techniques (such as positron emission tomography, PET) and cerebrospinal fluid (CSF) analysis. The presence of these biomarkers in individuals, who are asymptomatic or have mild cognitive impairment can indicate an increased risk of developing AD in the future. Furthermore, the combination of Aβ and p-tau biomarkers is often used for more accurate diagnosis and prediction of AD progression. Along with AD being a neurodegenerative disease, it is associated with other chronic conditions such as cardiovascular disease, obesity, depression, and diabetes because studies have shown that these comorbid conditions make people more vulnerable to AD. In the first part of this review, we discuss that biofluid-based biomarkers such as Aβ, p-Tau in cerebrospinal fluid (CSF) and Aβ & p-Tau in plasma could be used as an alternative sensitive technique to diagnose AD. In the second part, we discuss the underlying molecular mechanisms of chronic conditions linked with AD and how they affect the patients in clinical care.
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Affiliation(s)
| | - Javaria Baig
- Internal Medicine Department, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA.
| | - Md Ariful Islam
- Internal Medicine Department, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA.
| | - Sudhir Kshirsagar
- Internal Medicine Department, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA.
| | - P. Hemachandra Reddy
- Internal Medicine Department, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA.
- Pharmacology & Neuroscience Department, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA.
- Neurology Department, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA.
- Speech, Language and Hearing Sciences Departments, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA.
- Public Health Department, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA.
- Nutritional Sciences Department, College of Human Sciences, Texas Tech University, Lubbock, TX 79409, USA
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5
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Twait EL, Wu JH, Kamarioti M, Basten M, van der Flier WM, Gerritsen L, Geerlings MI. Association of amyloid-beta with depression or depressive symptoms in older adults without dementia: a systematic review and meta-analysis. Transl Psychiatry 2024; 14:25. [PMID: 38225253 PMCID: PMC10789765 DOI: 10.1038/s41398-024-02739-9] [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: 10/16/2023] [Revised: 12/05/2023] [Accepted: 01/05/2024] [Indexed: 01/17/2024] Open
Abstract
Several lines of evidence have indicated that depression might be a prodromal symptom of Alzheimer's disease (AD). This systematic review and meta-analysis investigated the cross-sectional association between amyloid-beta, one of the key pathologies defining AD, and depression or depressive symptoms in older adults without dementia. A systematic search in PubMed yielded 689 peer-reviewed articles. After full-text screening, nine CSF studies, 11 PET studies, and five plasma studies were included. No association between amyloid-beta and depression or depressive symptoms were found using cerebrospinal fluid (CSF) (0.15; 95% CI: -0.08; 0.37), positron emission topography (PET) (Cohen's d: 0.09; 95% CI: -0.05; 0.24), or plasma (-0.01; 95% CI: -0.23; 0.22). However, subgroup analyses revealed an association in plasma studies of individuals with cognitive impairment. A trend of an association was found in the studies using CSF and PET. This systematic review and meta-analysis suggested that depressive symptoms may be part of the prodromal stage of dementia.
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Affiliation(s)
- Emma L Twait
- Amsterdam UMC, location Vrije Universiteit, Department of General Practice, Van der Boechorststraat 7, Amsterdam, The Netherlands
- Amsterdam Public Health; Aging & Later life, and Personalized Medicine, Amsterdam, The Netherlands
- Amsterdam Neuroscience; Neurodegeneration, and Mood, Anxiety, Psychosis, Stress, and Sleep, Amsterdam, The Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands
| | - Jen-Hao Wu
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands
| | - Maria Kamarioti
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands
| | - Maartje Basten
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands
| | - Wiesje M van der Flier
- Alzheimer Center Amsterdam, Neurology, Epidemiology and Data Science, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
- Epidemiology and Data Science, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
| | - Lotte Gerritsen
- Department of Psychology, Utrecht University, Utrecht, The Netherlands
| | - Mirjam I Geerlings
- Amsterdam UMC, location Vrije Universiteit, Department of General Practice, Van der Boechorststraat 7, Amsterdam, The Netherlands.
- Amsterdam Neuroscience; Neurodegeneration, and Mood, Anxiety, Psychosis, Stress, and Sleep, Amsterdam, The Netherlands.
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands.
- Amsterdam UMC, location University of Amsterdam, Department of General Practice, Meibergdreef 9, Amsterdam, The Netherlands.
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6
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Ozaki T, Hashimoto N, Udo N, Narita H, Nakagawa S, Kusumi I. Neurobiological correlation between phosphorylated tau and mood symptoms in memory clinic patients. Psychogeriatrics 2023; 23:954-962. [PMID: 37806671 DOI: 10.1111/psyg.13016] [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: 07/04/2023] [Revised: 08/09/2023] [Accepted: 08/16/2023] [Indexed: 10/10/2023]
Abstract
BACKGROUND Alzheimer's disease (AD) dementia and mild cognitive impairment are characterised by impaired cognition accompanied by neuropsychiatric symptoms (NPS) relating to mood, including depression, anxiety, and apathy. However, the utility of AD biomarkers for predicting mood symptoms of NPS remains controversial. Herein, we analyzed the relationship between phosphorylated tau (p-tau) and depression, anxiety, and apathy of NPS. We also examined the influence of genetic factors such as apolipoprotein E (APOE) ε4 on these relationships. METHODS We conducted a cross-sectional survey in older patients (n = 122) with normal cognition (n = 12), mild cognitive impairment (n = 46), and AD (n = 64) strictly diagnosed by the board of psychiatrists and neurologists of Hokkaido University. NPS of the patients were assessed using the Neuropsychiatric Inventory Questionnaire (NPI). All patients also received a lumbar puncture to obtain cerebral spinal fluid for assessment of p-tau. The inverse probability weighting method was used to adjust for demographic differences between the p-tau present group and the p-tau absent group. RESULTS There was an association between p-tau accumulation and decreased incidence of depression and apathy. APOE ε4 non-carriers also showed a trend toward a negative association between p-tau and depression, which was not evident in APOE ε4 carriers. CONCLUSIONS We provide new evidence for a negative correlation between p-tau and depression and apathy of NPS, which may be influenced by APOE ε4. Future longitudinal studies are required to confirm the utility of p-tau for predicting the course of mood symptoms in patients with cognitive decline.
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Affiliation(s)
- Takashi Ozaki
- Department of Psychiatry, Graduate School of Medicine, Hokkaido University, Sapporo, Japan
| | - Naoki Hashimoto
- Department of Psychiatry, Graduate School of Medicine, Hokkaido University, Sapporo, Japan
| | - Niki Udo
- Department of Psychiatry, Graduate School of Medicine, Hokkaido University, Sapporo, Japan
| | - Hisashi Narita
- Department of Psychiatry, Graduate School of Medicine, Hokkaido University, Sapporo, Japan
| | - Shin Nakagawa
- Division of Neuropsychiatry, Department of Neuroscience, Graduate School of Medicine, Yamaguchi University, Ube, Japan
| | - Ichiro Kusumi
- Department of Psychiatry, Graduate School of Medicine, Hokkaido University, Sapporo, Japan
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7
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Bélanger E, Jutkowitz E, Shewmaker P, Van Houtven CH, Burke JR, Plassman BL, Shepherd-Banigan M, Couch E, Mills C, Wetle TT. Prevalence and incidence of depressive symptoms and diagnosis of depression as associated with elevated amyloid among Medicare beneficiaries with cognitive impairment. J Affect Disord 2023; 334:293-296. [PMID: 37150216 PMCID: PMC10478508 DOI: 10.1016/j.jad.2023.04.115] [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: 08/22/2022] [Revised: 03/18/2023] [Accepted: 04/29/2023] [Indexed: 05/09/2023]
Abstract
BACKGROUND Depression and cognitive impairment commonly co-occur, and it has been hypothesized that the two share pathological processes. Our objective for this study was to determine the relationship between elevated β-amyloid level and the prevalence and incidence of depressive symptoms and diagnosed depression over two years among fee-for-service Medicare beneficiaries with cognitive impairment. METHODS We utilized data from the CARE-IDEAS cohort study (N = 2078) including two measures of depressive symptoms (PHQ-2) and administrative claims data to identify pre-scan and incident depression diagnosis in subsample of fee-for-service Medicare beneficiaries (N = 1443). We used descriptive statistics and Poisson regression models with robust covariance. RESULTS Beneficiaries whose scan results indicated not-elevated β-amyloid were significantly more likely to have been diagnosed with depression pre-scan (46.4 % vs. 33.1 %). There was no significant association between elevated amyloid and the incidence of depressive symptoms or diagnosed depression. LIMITATIONS The sample was limited to Medicare beneficiaries with cognitive impairment. Race/ethnic composition and education levels were not representative of the general population and there was substantial loss to follow-up. Mixed depressive / anxious episodes were captured as diagnoses of depression, potentially overestimating depression in this population. CONCLUSIONS There was a high prevalence and incidence of diagnosed depression in this cohort of Medicare beneficiaries, but the incidence of depressive symptoms and diagnosed depression was not associated with elevated β-amyloid.
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Affiliation(s)
- Emmanuelle Bélanger
- Center for Gerontology and Healthcare Research, Brown University, School of Public Health, Providence, RI, USA; Department of Health Services, Policy & Practice, Brown University, School of Public Health, Providence, RI, USA.
| | - Eric Jutkowitz
- Center for Gerontology and Healthcare Research, Brown University, School of Public Health, Providence, RI, USA; Department of Health Services, Policy & Practice, Brown University, School of Public Health, Providence, RI, USA
| | - Peter Shewmaker
- Center for Gerontology and Healthcare Research, Brown University, School of Public Health, Providence, RI, USA
| | - Courtney H Van Houtven
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA; Center of Innovation to Accelerate Discovery and Practice Transformation, Durham VA Health Care System, Durham, NC, USA
| | - James R Burke
- Department of Neurology, Duke University School of Medicine, Durham, NC, USA
| | - Brenda L Plassman
- Department of Neurology, Duke University School of Medicine, Durham, NC, USA; Department of Psychiatry, Duke University School of Medicine, Durham, NC, USA
| | - Megan Shepherd-Banigan
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA; Center of Innovation to Accelerate Discovery and Practice Transformation, Durham VA Health Care System, Durham, NC, USA
| | - Elyse Couch
- Center for Gerontology and Healthcare Research, Brown University, School of Public Health, Providence, RI, USA
| | - Caroline Mills
- Center for Gerontology and Healthcare Research, Brown University, School of Public Health, Providence, RI, USA
| | - Terrie T Wetle
- Center for Gerontology and Healthcare Research, Brown University, School of Public Health, Providence, RI, USA; Department of Health Services, Policy & Practice, Brown University, School of Public Health, Providence, RI, USA
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8
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Salemme S, Ancidoni A, Locuratolo N, Piscopo P, Lacorte E, Canevelli M, Vanacore N. Advances in amyloid-targeting monoclonal antibodies for Alzheimer's disease: clinical and public health issues. Expert Rev Neurother 2023; 23:1113-1129. [PMID: 37975226 DOI: 10.1080/14737175.2023.2284305] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Accepted: 11/13/2023] [Indexed: 11/19/2023]
Abstract
INTRODUCTION Alzheimer's disease (AD) is a major global public health challenge. To date, no treatments have been shown to stop the underlying pathological processes. The cerebral accumulation of amyloid-beta (Ab) is still considered as the primum movens of AD and disease-modifying treatments targeting Ab are reaching - or have already reached - clinical practice. AREAS COVERED The authors explore the main advancements from Aβ-targeting monoclonal antibodies (mAbs) for the treatment of AD. From a public health perspective, they address ethically relevant issues such as the benevolence and non-maleficence principles. They report on the potential biological and clinical benefits of these drugs, discussing minimal clinically important differences (MCID) and other relevant outcomes. They examine the short- and long-term effects of amyloid-related imaging abnormalities (ARIA), and explore the differences between eligibility criteria in clinical trials, appropriate use recommendations, and prescribing information content. In doing so, they contextualize the discussion on the disagreements among different regulatory authorities. EXPERT OPINION Although anti-β-amyloid monoclonal antibodies may be effective in selected scenarios, non-negligible knowledge gaps and implementation limits persist. Overcoming these gaps can no longer be postponed if we are to ensure the principles of Quality of Care for patients with cognitive impairment who would be eligible for this class of drugs.
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Affiliation(s)
- Simone Salemme
- Department of Biomedical, Metabolic, and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Antonio Ancidoni
- National Centre for Disease Prevention and Health Promotion, Italian National Institute of Health, Rome, Italy
- Department of Public Health and Infectious Diseases, Sapienza University, Rome, Italy
| | - Nicoletta Locuratolo
- National Centre for Disease Prevention and Health Promotion, Italian National Institute of Health, Rome, Italy
| | - Paola Piscopo
- Department of Neuroscience, Italian National Institute of Health, Rome, Italy
| | - Eleonora Lacorte
- National Centre for Disease Prevention and Health Promotion, Italian National Institute of Health, Rome, Italy
| | - Marco Canevelli
- National Centre for Disease Prevention and Health Promotion, Italian National Institute of Health, Rome, Italy
- Department of Human Neuroscience, "Sapienza" University, Rome, Italy
| | - Nicola Vanacore
- National Centre for Disease Prevention and Health Promotion, Italian National Institute of Health, Rome, Italy
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9
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Min J, Rouanet J, Martini AC, Nashiro K, Yoo HJ, Porat S, Cho C, Wan J, Cole SW, Head E, Nation DA, Thayer JF, Mather M. Modulating heart rate oscillation affects plasma amyloid beta and tau levels in younger and older adults. Sci Rep 2023; 13:3967. [PMID: 36894565 PMCID: PMC9998394 DOI: 10.1038/s41598-023-30167-0] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Accepted: 02/16/2023] [Indexed: 03/11/2023] Open
Abstract
Slow paced breathing via heart rate variability (HRV) biofeedback stimulates vagus-nerve pathways that counter noradrenergic stress and arousal pathways that can influence production and clearance of Alzheimer's disease (AD)-related proteins. Thus, we examined whether HRV biofeedback intervention affects plasma Αβ40, Αβ42, total tau (tTau), and phosphorylated tau-181 (pTau-181) levels. We randomized healthy adults (N = 108) to use slow-paced breathing with HRV biofeedback to increase heart rate oscillations (Osc+) or to use personalized strategies with HRV biofeedback to decrease heart rate oscillations (Osc-). They practiced 20-40 min daily. Four weeks of practicing the Osc+ and Osc- conditions produced large effect size differences in change in plasma Aβ40 and Aβ42 levels. The Osc+ condition decreased plasma Αβ while the Osc- condition increased Αβ. Decreases in Αβ were associated with decreases in gene transcription indicators of β-adrenergic signaling, linking effects to the noradrenergic system. There were also opposing effects of the Osc+ and Osc- interventions on tTau for younger adults and pTau-181 for older adults. These results provide novel data supporting a causal role of autonomic activity in modulating plasma AD-related biomarkers.Trial registration: NCT03458910 (ClinicalTrials.gov); first posted on 03/08/2018.
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Affiliation(s)
- Jungwon Min
- University of Southern California, Los Angeles, CA, USA
| | | | | | - Kaoru Nashiro
- University of Southern California, Los Angeles, CA, USA
| | - Hyun Joo Yoo
- University of Southern California, Los Angeles, CA, USA
| | - Shai Porat
- University of Southern California, Los Angeles, CA, USA
| | - Christine Cho
- University of Southern California, Los Angeles, CA, USA
| | - Junxiang Wan
- University of Southern California, Los Angeles, CA, USA
| | - Steve W Cole
- University of California, Los Angeles, Los Angeles, CA, USA
| | | | | | | | - Mara Mather
- University of Southern California, Los Angeles, CA, USA.
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10
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Manning KJ, Wu R, McQuoid DR, Steffens DC, Potter GG. Reliable Cognitive Decline in Late-Life Major Depression. Arch Clin Neuropsychol 2023; 38:247-257. [PMID: 36302229 PMCID: PMC9940117 DOI: 10.1093/arclin/acac083] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/16/2022] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVE Major depression in older adults increases the statistical likelihood of dementia. It is challenging to translate statistical evidence of cognitive decline at the group level into knowledge of individual cognitive outcomes. The objective of the current study is to investigate 2-year reliable cognitive change in late-life depression (LLD), which will enhance understanding of cognitive changes in LLD and provide a means to assess individual change. METHODS In a sample of non-depressed cognitively normal older adults or NDCN (n = 113), we used linear regression to predict tests of global cognition, processing speed-executive functioning, and memory administered 1 and 2 years later. Stepwise regression was used to select covariates among demographics and raw test scores (either baseline or year 1) and we cross-validated the final models using the predicted residual error sum of squares (PRESS). We then derived a z-change score from the difference between actual and predicted follow-up scores and investigated the proportion of LLD patients (n = 199) and NDCN adults who experienced reliable "decline" (a z-score < -1.645), "stability" (z-scores between + - 1.645), and "improvement" (z scores > +1.645). RESULTS A greater proportion LLD compared with NDCN experienced cognitive decline in processing speed/executive functioning and global cognition over 2 years. When compared to NDCN, a greater proportion of LLD also significantly improved on one test of processing speed over 2 years. CONCLUSIONS Older adults with LLD are at risk of meaningful cognitive decline over a relatively short period, particularly in the domain of executive functioning and processing speed. This study provides a series of reliable change equations for common neuropsychological tests that can be applied clinically.
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Affiliation(s)
- Kevin J Manning
- Department of Psychiatry, University of Connecticut Health Center, Farmington, CT, USA
| | - Rong Wu
- Biostatistics Center, University of Connecticut Health Center, Farmington, CT, USA
| | - Douglas R McQuoid
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA
| | - David C Steffens
- Department of Psychiatry, University of Connecticut Health Center, Farmington, CT, USA
| | - Guy G Potter
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA
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11
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Kawakami I, Iga J, Takahashi S, Lin Y, Fujishiro H. Towards an understanding of the pathological basis of senile depression and incident dementia: Implications for treatment. Psychiatry Clin Neurosci 2022; 76:620-632. [PMID: 36183356 PMCID: PMC10092575 DOI: 10.1111/pcn.13485] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 09/15/2022] [Accepted: 09/24/2022] [Indexed: 11/30/2022]
Abstract
Senile depression (SD) is a heterogeneous syndrome. Several clinical profiles are more likely to appear in SD than in early-life depression, but it remains unclear whether the pathophysiology is different. The prevalence of dementia increases with aging, and the underlying pathophysiological processes in the preclinical phase begin even before cognitive deficits or neurological signs appear. SD may be either a risk factor for developing dementia or a prodromal stage of dementia. The inconsistent findings regarding the association between SD and incident dementia may be attributable to the neuropathological heterogeneity underlying SD. Most studies have focused on patients with the clinical diagnosis of Alzheimer disease (AD) as an outcome, but several clinicopathological studies suggest that primary age-related tauopathy and argyrophilic grain disease may account for a proportion of cases clinically misdiagnosed as AD in the elderly population. Furthermore, most AD cases have additional neuropathologic changes such as cerebrovascular disease and Lewy body disease. Here, we review the neuropathological findings linking SD to incident dementia, focusing on common age-related neuropathologies. In particular, the roles of disturbance of neural circuity, imbalance of monoaminergic systems, dysregulation of the hypothalamic-pituitary-adrenal axis, and elevated neuroinflammatory status are discussed. Finally, we review the current treatment of SD in the context of age-related neuropathological changes.
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Affiliation(s)
- Ito Kawakami
- Department of PsychiatryJuntendo University School of MedicineTokyoJapan
- Dementia Research ProjectTokyo Metropolitan Institute of Medical ScienceTokyoJapan
| | - Jun‐ichi Iga
- Department of NeuropsychiatryEhime University Graduate School of MedicineMatsuyamaJapan
| | - Sho Takahashi
- Department of Disaster and Community Psychiatry, Division of Clinical Medicine, Faculty of MedicineUniversity of TsukubaTsukubaJapan
- Department of Community and Disaster Assistance, Ibaraki Prefectural Medical Research Center of PsychiatryUniversity of TsukubaTsukubaJapan
| | - Yi‐Ting Lin
- Department of PsychiatryNational Taiwan University HospitalTaipeiTaiwan
| | - Hiroshige Fujishiro
- Department of PsychiatryNagoya University Graduate School of MedicineAichiJapan
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12
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Natsume S, Baba H, Maeshima H, Saida T, Yoshinari N, Shimizu K, Suzuki T. Clinical course and serum amyloid β levels in elderly patients with major depressive disorder. J Affect Disord 2022; 315:156-161. [PMID: 35932935 DOI: 10.1016/j.jad.2022.07.073] [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] [Received: 03/31/2022] [Revised: 07/26/2022] [Accepted: 07/30/2022] [Indexed: 10/16/2022]
Abstract
BACKGROUND Depression is known to be a risk factor for Alzheimer's disease (AD). Changes in amyloid β protein (Aβ) metabolism have been speculated as a factor contributing to the transition from depression to AD. The aim of this study is to reveal the time course and state-dependency of Aβ metabolism. METHODS Serum Aβ levels in 277 elderly (≥60 years) patients with depression (both early- and late-onset) were measured at admission, immediately after remission, and 1 year after remission, and compared them with 178 healthy subjects. RESULTS The analysis revealed decreased Aβ42 levels and increased Aβ42/40 ratios in elderly patients with depression at admission compared with healthy subjects. These changes in the acute phase of depression were not normalized immediately after remission; however, they recovered to healthy levels 1 year after remission. LIMITATIONS There is a possibility that the results may be influenced by antidepressants. CONCLUSIONS These results suggest that altered Aβ metabolism caused by depression may ameliorate, although after a lengthy period of time after remission. Our findings also suggest that the AD-related pathological changes caused or increased by depression can be reduced by maintaining remission for an extended period of time.
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Affiliation(s)
- Shuntaro Natsume
- Department of Psychiatry & Behavioral Science, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Hajime Baba
- Department of Psychiatry & Behavioral Science, Juntendo University Graduate School of Medicine, Tokyo, Japan; Department of Psychiatry, Juntendo Koshigaya Hospital, Juntendo University Faculty of Medicine, Saitama, Japan.
| | - Hitoshi Maeshima
- Department of Psychiatry & Behavioral Science, Juntendo University Graduate School of Medicine, Tokyo, Japan; Department of Psychiatry, Juntendo Koshigaya Hospital, Juntendo University Faculty of Medicine, Saitama, Japan
| | - Takao Saida
- Department of Psychiatry & Behavioral Science, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Naoto Yoshinari
- Department of Psychiatry & Behavioral Science, Juntendo University Graduate School of Medicine, Tokyo, Japan; Department of Psychiatry, Juntendo Koshigaya Hospital, Juntendo University Faculty of Medicine, Saitama, Japan
| | - Kentaro Shimizu
- Department of Psychiatry & Behavioral Science, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Toshihito Suzuki
- Department of Psychiatry & Behavioral Science, Juntendo University Graduate School of Medicine, Tokyo, Japan; Department of Psychiatry, Juntendo Koshigaya Hospital, Juntendo University Faculty of Medicine, Saitama, Japan
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13
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Pomara N, Bruno D, Plaska CR, Ramos-Cejudo J, Osorio RS, Pillai A, Imbimbo BP, Zetterberg H, Blennow K. Plasma Amyloid-β dynamics in late-life major depression: a longitudinal study. Transl Psychiatry 2022; 12:301. [PMID: 35902554 PMCID: PMC9334636 DOI: 10.1038/s41398-022-02077-8] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Revised: 07/14/2022] [Accepted: 07/19/2022] [Indexed: 11/09/2022] Open
Abstract
Depressed individuals are twice as likely to develop Alzheimer's disease (AD) as compared to controls. Brain amyloid-β (Aβ) deposition is believed to have a major role in AD pathogenesis but studies also suggest associations of Aβ dynamics and depression. The aim of this study was to test if plasma Aβ levels are longitudinally associated to late-life depression. We measured plasma levels of amyloid-β1-40 (Aβ40) and amyloid-β1-42 (Aβ42) peptides longitudinally for three consecutive years in 48 cognitively intact elderly subjects with late-life major depressive disorder (LLMD) and 45 age-matched cognitively healthy controls. We found that the Aβ42/Aβ40 plasma ratio was significantly and steadily lower in depressed subjects compared to controls (p < 0.001). At screening, Aβ42/Aβ40 plasma did not correlate with depression severity (as measured with Hamilton Depression Scale) or cognitive performance (as measured with Mini-Mental State Examination) but was associated to depression severity at 3 years after adjustment for age, education, cognitive performance, and antidepressants use. This study showed that reduced plasma Aβ42/Aβ40 ratio is consistently associated with LLMD diagnosis and that increased severity of depression at baseline predicted low Aβ42/Aβ40 ratio at 3 years. Future studies are needed to confirm these findings and examine if the consistently lower plasma Aβ42/Aβ40 ratio in LLMD reflects increased brain amyloid deposition, as observed in AD subjects, and an increased risk for progressive cognitive decline and AD.
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Affiliation(s)
- Nunzio Pomara
- Nathan Kline Institute, Orangeburg, NY, USA. .,Department of Psychiatry and Pathology, New York University-Grossman School of Medicine, New York, NY, USA.
| | - Davide Bruno
- grid.4425.70000 0004 0368 0654School of Psychology, Liverpool John Moores University, Liverpool, UK
| | - Chelsea Reichert Plaska
- grid.250263.00000 0001 2189 4777Nathan Kline Institute, Orangeburg, NY USA ,grid.137628.90000 0004 1936 8753Department of Psychiatry, New York University-Grossman School of Medicine, New York, NY USA
| | - Jaime Ramos-Cejudo
- grid.137628.90000 0004 1936 8753Department of Psychiatry, New York University-Grossman School of Medicine, New York, NY USA
| | - Ricardo S. Osorio
- grid.250263.00000 0001 2189 4777Nathan Kline Institute, Orangeburg, NY USA ,grid.137628.90000 0004 1936 8753Department of Psychiatry, New York University-Grossman School of Medicine, New York, NY USA
| | - Anilkumar Pillai
- grid.267308.80000 0000 9206 2401Pathophysiology of Neuropsychiatric Disorders Program, Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX USA ,grid.413830.d0000 0004 0419 3970Research and Development, Charlie Norwood VA Medical Center, Augusta, GA USA ,grid.410427.40000 0001 2284 9329Department of Psychiatry and Health Behavior, Medical College of Georgia, Augusta University, Augusta, GA USA
| | - Bruno P. Imbimbo
- grid.467287.80000 0004 1761 6733Research & Development, Chiesi Farmaceutici, Parma, Italy
| | - Henrik Zetterberg
- grid.83440.3b0000000121901201Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK ,grid.83440.3b0000000121901201UK Dementia Research Institute at UCL, London, UK ,grid.8761.80000 0000 9919 9582Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden ,grid.1649.a000000009445082XClinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden ,grid.24515.370000 0004 1937 1450Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong, China
| | - Kaj Blennow
- grid.8761.80000 0000 9919 9582Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden ,grid.1649.a000000009445082XClinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
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14
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Yang X, Li Z, Bai L, Shen X, Wang F, Han X, Zhang R, Li Z, Zhang J, Dong M, Wang Y, Cao T, Zhao S, Chu C, Liu C, Zhu X. Association of Plasma and Electroencephalography Markers With Motor Subtypes of Parkinson’s Disease. Front Aging Neurosci 2022; 14:911221. [PMID: 35903537 PMCID: PMC9314775 DOI: 10.3389/fnagi.2022.911221] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2022] [Accepted: 06/16/2022] [Indexed: 11/30/2022] Open
Abstract
Objective The aim of this study was to investigate the correlations of plasma neurodegenerative proteins and electroencephalography (EEG) dynamic functional network (DFN) parameters with disease progression in early Parkinson’s disease (PD) with different motor subtypes, including tremor-dominant (TD) and postural instability and gait disorder (PIGD). Methods In our study, 33 patients with PD (21 TD and 12 PIGD) and 33 healthy controls (HCs) were enrolled. Plasma neurofilament light chain (NfL), α-synuclein (α-syn), total-tau (t-tau), β-amyloid 42 (Aβ42), and β-amyloid 40 (Aβ40) levels were measured using an ultrasensitive single-molecule array (Simoa) immunoassay. All the patients with PD underwent EEG quantified by DFN analysis. The motor and non-motor performances were evaluated by a series of clinical assessments. Subsequently, a correlation analysis of plasma biomarkers and EEG measures with clinical scales was conducted. Results In the TD group, plasma NfL exhibited a significant association with MDS-UPDRS III and Montreal Cognitive Assessment (MoCA). A higher Aβ42/40 level was significantly related to a decrease in Hamilton Depression Rating Scale (HAMD) and Hamilton Anxiety Rating Scale (HAMA) in the PIGD group. In terms of the correlation between EEG characteristic parameters and clinical outcomes, trapping time (TT) delta was positively correlated with MDS-UPDRS III and MoCA scores in the TD group, especially in the prefrontal and frontal regions. For other non-motor symptoms, there were significant direct associations of kPLI theta with HAMD and HAMA, especially in the prefrontal region, and kPLI gamma was particularly correlated with Rapid Eye Movement Sleep Behavior Disorder Screening Questionnaire (RBDSQ) scores in the prefrontal, frontal, and parietal regions in the TD group. Furthermore, there was a significant positive correlation between plasma t-tau and kPLI, and pairwise correlations were found among plasma NfL, theta TT, and MoCA scores in the TD group. Conclusion These results provide evidence that plasma neurodegenerative proteins and EEG measures have great potential in predicting the disease progression of PD subtypes, especially for the TD subtype. A combination of these two kinds of markers may have a superposition effect on monitoring and estimating the prognosis of PD subtypes and deserves further research in larger, follow-up PD cohorts.
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Affiliation(s)
- Xiaoxia Yang
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China
| | - Zhen Li
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China
| | - Lipeng Bai
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China
| | - Xiao Shen
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China
| | - Fei Wang
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China
| | - Xiaoxuan Han
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China
| | - Rui Zhang
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China
| | - Zhuo Li
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China
| | - Jinghui Zhang
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China
| | - Mengmeng Dong
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China
| | - Yanlin Wang
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China
| | - Tingyu Cao
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China
| | - Shujun Zhao
- National Health Commission Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital & Tianjin Institute Endocrinology, Tianjin Medical University, Tianjin, China
| | - Chunguang Chu
- School of Electrical and Information Engineering, Tianjin University, Tianjin, China
- *Correspondence: Chunguang Chu,
| | - Chen Liu
- School of Electrical and Information Engineering, Tianjin University, Tianjin, China
- Chen Liu,
| | - Xiaodong Zhu
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China
- Xiaodong Zhu,
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15
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Disrupted olfactory functional connectivity in patients with late-life depression. J Affect Disord 2022; 306:174-181. [PMID: 35292309 DOI: 10.1016/j.jad.2022.03.014] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Revised: 03/05/2022] [Accepted: 03/08/2022] [Indexed: 12/13/2022]
Abstract
BACKGROUND Odor identification (OI) impairment increases the risk of Alzheimer's disease and brain abnormalities in patients with late-life depression (LLD). However, it remains unclear whether abnormal functional connectivity (FC) of olfactory regions is involved in the relationship between OI impairment and dementia risk in LLD patients. The current study aims to explore the olfactory FC patterns of LLD patients and how olfactory FCs mediate the relationship between OI and cognition. METHODS A total of 150 participants underwent resting-state functional magnetic resonance imaging and psychometric and olfactory assessments. The primary and secondary olfactory regions were selected as regions of interest to investigate olfactory FC patterns and their association with OI and cognitive performance in LLD patients. RESULTS Compared with LLD patients without OI impairment and normal controls, LLD patients with OI impairment exhibited increased FC between the left orbital frontal cortex (OFC) and left calcarine gyrus, between the left OFC and right lingual gyrus, between the right OFC and right rectus gyrus, and decreased FC between the right piriform cortex and right superior parietal lobule. Additionally, these abnormal FCs were associated with scores of OI, global cognition and language function. Finally, the FC between the right piriform cortex and right superior parietal lobule exhibited a partially mediated effect on the relationship between OI and MMSE scores. LIMITATIONS The present study did not exclude the possible effect of drugs. CONCLUSION LLD patients with OI impairment exhibited more disrupted olfactory FC (a decrease in the primary olfactory cortex and an increase in the secondary olfactory cortex) than LLD patients with intact OI, and these abnormal FCs may serve as potential targets for neuromodulation in LLD patients to prevent them from developing dementia.
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16
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Dobielska M, Bartosik NK, Zyzik KA, Kowalczyk E, Karbownik MS. Mechanisms of Cognitive Impairment in Depression. May Probiotics Help? Front Psychiatry 2022; 13:904426. [PMID: 35757204 PMCID: PMC9218185 DOI: 10.3389/fpsyt.2022.904426] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Accepted: 05/16/2022] [Indexed: 12/02/2022] Open
Abstract
Depression is the major cause of disability globally. Apart from lowered mood and accompanying symptoms, it leads to cognitive impairment that altogether predicts disadvantaged social functioning. Reduced cognitive function in depression appears a bit neglected in the field of clinical and molecular psychiatry, while it is estimated to occur in two-thirds of depressed patients and persist in at least one third of remitted patients. This problem, therefore, requires elucidation at the biomolecular and system levels and calls for improvement in therapeutic approach. In this review study, we address the above-mentioned issues by discussing putative mechanisms of cognitive decline in depression: (1) increased oxidative stress and (2) inflammation, (3) disturbed hypothalamus-pituitary-adrenals axis, and (4) reduced monoamines functionality. Moreover, we acknowledge additional underpinnings of cognitive impairment in depressed elderly: (5) vascular-originated brain ischemia and (6) amyloid-beta plaque accumulation. Additionally, by reviewing molecular, pre-clinical and clinical evidence, we propose gut microbiota-targeted strategies as potential adjuvant therapeutics. The study provides a consolidated source of knowledge regarding mechanisms of cognitive impairment in depression and may path the way toward improved treatment options.
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Affiliation(s)
- Maria Dobielska
- Students' Research Club, Department of Pharmacology and Toxicology, Medical University of Łódź, Łódź, Poland
| | - Natalia Karina Bartosik
- Students' Research Club, Department of Pharmacology and Toxicology, Medical University of Łódź, Łódź, Poland
| | - Kamil A Zyzik
- Institute of Sociology, Jagiellonian University, Kraków, Poland
| | - Edward Kowalczyk
- Department of Pharmacology and Toxicology, Medical University of Łódź, Łódź, Poland
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17
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Chan CK, Sieber FE, Blennow K, Inouye SK, Kahn G, Leoutsakos JMS, Marcantonio ER, Neufeld KJ, Rosenberg PB, Wang NY, Zetterberg H, Lyketsos CG, Oh ES. Association of Depressive Symptoms With Postoperative Delirium and CSF Biomarkers for Alzheimer's Disease Among Hip Fracture Patients. Am J Geriatr Psychiatry 2021; 29:1212-1221. [PMID: 33640268 PMCID: PMC8815817 DOI: 10.1016/j.jagp.2021.02.001] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Revised: 01/29/2021] [Accepted: 02/01/2021] [Indexed: 12/19/2022]
Abstract
OBJECTIVES While there is growing evidence of an association between depressive symptoms and postoperative delirium, the underlying pathophysiological mechanisms remain unknown. The goal of this study was to explore the association between depression and postoperative delirium in hip fracture patients, and to examine Alzheimer's disease (AD) pathology as a potential underlying mechanism linking depressive symptoms and delirium. METHODS Patients 65 years old or older (N = 199) who were undergoing hip fracture repair and enrolled in the study "A Strategy to Reduce the Incidence of Postoperative Delirium in Elderly Patients" completed the 15-item Geriatric Depression Scale (GDS-15) preoperatively. Cerebrospinal fluid (CSF) was obtained during spinal anesthesia and assayed for amyloid-beta (Aβ) 40, 42, total tau (t-tau), and phosphorylated tau (p-tau)181. RESULTS For every one point increase in GDS-15, there was a 13% increase in odds of postoperative delirium, adjusted for baseline cognition (MMSE), age, sex, race, education and CSF AD biomarkers (OR = 1.13, 95%CI = 1.02-1.25). Both CSF Aβ42/t-tau (β = -1.52, 95%CI = -2.1 to -0.05) and Aβ42/p-tau181 (β = -0.29, 95%CI = -0.48 to -0.09) were inversely associated with higher GDS-15 scores, where lower ratios indicate greater AD pathology. In an analysis to identify the strongest predictors of delirium out of 18 variables, GDS-15 had the highest classification accuracy for postoperative delirium and was a stronger predictor of delirium than both cognition and AD biomarkers. CONCLUSIONS In older adults undergoing hip fracture repair, depressive symptoms were associated with underlying AD pathology and postoperative delirium. Mild baseline depressive symptoms were the strongest predictor of postoperative delirium, and may represent a dementia prodrome.
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Affiliation(s)
- Carol K Chan
- Departments of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Frederick E Sieber
- Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Kaj Blennow
- Clinical Neurochemistry Lab, Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Sharon K Inouye
- Harvard Medical School, Boston, MA; Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA; Aging Brain Center, Hebrew SeniorLife, Boston, MA
| | - Geoffrey Kahn
- Johns Hopkins Bloomberg School of Public Health, Baltimore MD
| | - Jeannie-Marie S Leoutsakos
- Departments of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD; Johns Hopkins Bloomberg School of Public Health, Baltimore MD
| | - Edward R Marcantonio
- Harvard Medical School, Boston, MA; Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA; Aging Brain Center, Hebrew SeniorLife, Boston, MA
| | - Karin J Neufeld
- Departments of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD; Johns Hopkins University School of Nursing, Baltimore MD
| | - Paul B Rosenberg
- Departments of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Nae-Yuh Wang
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Henrik Zetterberg
- Clinical Neurochemistry Lab, Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK; UK Dementia Research Institute at UCL, London, UK
| | - Constantine G Lyketsos
- Departments of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Esther S Oh
- Departments of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD; Johns Hopkins University School of Nursing, Baltimore MD.
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18
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Siafarikas N, Kirsebom BE, Srivastava DP, Eriksson CM, Auning E, Hessen E, Selbaek G, Blennow K, Aarsland D, Fladby T. Cerebrospinal fluid markers for synaptic function and Alzheimer type changes in late life depression. Sci Rep 2021; 11:20375. [PMID: 34645914 PMCID: PMC8514484 DOI: 10.1038/s41598-021-99794-9] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Accepted: 09/28/2021] [Indexed: 01/11/2023] Open
Abstract
To explore markers for synaptic function and Alzheimer disease (AD) pathology in late life depression (LLD), predementia AD and normal controls (NC). A cross-sectional study to compare cerebrospinal fluid (CSF) levels of neurogranin (Ng), Beta-site amyloid-precursor-protein cleaving enzyme1 (BACE1), Ng/BACE1 ratio and Amyloid-β 42/40 ratio, phosphorylated-tau and total-tau in LLD with (LLD AD) or without (LLD NoAD) AD pathology, predementia AD and normal controls (NC). We included 145 participants (NC = 41; predementia AD = 66 and LLD = 38). LLD comprised LLD AD (n = 16), LLD NoAD (n = 19), LLD with non-AD typical changes (n = 3, excluded). LLD AD (pADJ < 0.05) and predementia AD (pADJ < 0.0001) showed significantly higher Ng than NC. BACE1 and Ng/BACE1 ratio were altered similarly. Compared to LLD NoAD, LLD AD showed significantly higher Ng (pADJ < 0.001), BACE1 (pADJ < 0.05) and Ng/BACE1 ratio (pADJ < 0.01). All groups had significantly lower Aβ 42/40 ratio than NC (predementia AD and LLD AD, p < 0.0001; LLD NoAD, p < 0.05). Both LLD groups performed similarly on tests of memory and executive function, but significantly poorer than NC. Synaptic function in LLD depended on AD pathology. LLD showed an association to Amyloid dysmetabolism. The LLD groups performed poorer cognitively than NC. LLD AD may be conceptualized as "predementia AD with depression".
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Affiliation(s)
- Nikias Siafarikas
- Department of Geriatric Psychiatry, Akershus University Hospital, Sykehusveien 25, 1478, Lørenskog, Norway.
- Faculty of Medicine, University of Oslo, Oslo, Norway.
| | - Bjørn-Eivind Kirsebom
- Department of Neurology, University Hospital of North Norway, Tromsø, Norway
- Department of Psychology, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Deepak P Srivastava
- Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 9NU, UK
| | - Cecilia M Eriksson
- Department of Geriatric Psychiatry, Akershus University Hospital, Sykehusveien 25, 1478, Lørenskog, Norway
| | - Eirik Auning
- Department of Geriatric Psychiatry, Akershus University Hospital, Sykehusveien 25, 1478, Lørenskog, Norway
| | - Erik Hessen
- Department of Neurology, Akershus University Hospital, Lørenskog, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Geir Selbaek
- Faculty of Medicine, University of Oslo, Oslo, Norway
- Norwegian National Advisory Unit On Aging and Health, Vestfold Hospital Trust, Tønsberg, Norway
- Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Dag Aarsland
- Department of Old Age Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 8AF, UK
| | - Tormod Fladby
- Department of Neurology, Akershus University Hospital, Lørenskog, Norway
- Institute of Clinical Medicine, University of Oslo, Campus Ahus, Oslo, Norway
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19
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Israel-Elgali I, Hertzberg L, Shapira G, Segev A, Krieger I, Nitzan U, Bloch Y, Pillar N, Mayer O, Weizman A, Gurwitz D, Shomron N. Blood transcriptional response to treatment-resistant depression during electroconvulsive therapy. J Psychiatr Res 2021; 141:92-103. [PMID: 34182381 DOI: 10.1016/j.jpsychires.2021.06.039] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Revised: 05/17/2021] [Accepted: 06/20/2021] [Indexed: 12/13/2022]
Abstract
Selective serotonin reuptake inhibitors (SSRIs) are currently the first-line antidepressant drug treatment for major depressive disorder (MDD). Treatment-resistant depression (TRD), defined as failure to achieve remission despite adequate treatment, affects ~30% of persons with MDD. The current recommended treatment for TRD is electroconvulsive therapy (ECT), while ketamine is an experimentally suggested treatment. This study aimed to elucidate the transcriptional differences in peripheral blood mononuclear cells (PBMC) between individuals with TRD and a control group without a psychiatric illness; and between patients with TRD, treated with either standard antidepressant drugs alone, or in combination with ECT or ketamine. Additionally, PBMC transcriptomics were compared between treatment responders, following completion of their treatment protocols. Total RNA was extracted from PBMC of the TRD group at two time points, and RNA and miRNA expression were profiled. Multiple mRNAs and miRNAs were found to be modified, with two protein coding genes, FKBP5 and ITGA2B, which are up- and downregulated, respectively; and several miRNAs have shown changes following successful ECT treatment. Further analysis demonstrated the direct functional regulation of ITGA2B by miR-24-3p. Our findings suggest that PBMC expression levels of FKBP5, ITGA2B, and miR-24-3p should be further explored as tentative ECT response biomarkers.
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Affiliation(s)
- Ifat Israel-Elgali
- Sagol School of Neuroscience, Tel-Aviv University, Tel Aviv, Israel; Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Libi Hertzberg
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel; Shalvata Mental Health Center, Hod Hasharon, Israel; Department of Physics of Complex Systems, Weizmann Institute of Science, Rehovot, Israel
| | - Guy Shapira
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Aviv Segev
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel; Shalvata Mental Health Center, Hod Hasharon, Israel
| | - Israel Krieger
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel; Shalvata Mental Health Center, Hod Hasharon, Israel
| | - Uri Nitzan
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel; Shalvata Mental Health Center, Hod Hasharon, Israel
| | - Yuval Bloch
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel; Shalvata Mental Health Center, Hod Hasharon, Israel
| | - Nir Pillar
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Ori Mayer
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Abraham Weizman
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel; Geha Mental Health Center, Petah Tiqva, Israel
| | - David Gurwitz
- Sagol School of Neuroscience, Tel-Aviv University, Tel Aviv, Israel; Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
| | - Noam Shomron
- Sagol School of Neuroscience, Tel-Aviv University, Tel Aviv, Israel; Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
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Taylor WD, Boyd BD, Elson D, Andrews P, Albert K, Vega J, Newhouse PA, Woodward ND, Kang H, Shokouhi S. Preliminary Evidence That Cortical Amyloid Burden Predicts Poor Response to Antidepressant Medication Treatment in Cognitively Intact Individuals With Late-Life Depression. Am J Geriatr Psychiatry 2021; 29:448-457. [PMID: 33032927 PMCID: PMC8004530 DOI: 10.1016/j.jagp.2020.09.019] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Revised: 09/21/2020] [Accepted: 09/24/2020] [Indexed: 01/01/2023]
Abstract
OBJECTIVE Amyloid accumulation, the pathological hallmark of Alzheimer's disease, may predispose some older adults to depression and cognitive decline. Deposition of amyloid also occurs prior to the development of cognitive decline. It is unclear whether amyloid influences antidepressant outcomes in cognitively intact depressed elders. DESIGN A pharmacoimaging trial utilizing florbetapir (18F) PET scanning followed by 2 sequential 8-week antidepressant medication trials. PARTICIPANTS Twenty-seven depressed elders who were cognitively intact on screening. MEASUREMENTS AND INTERVENTIONS After screening, diagnostic testing, assessment of depression severity and neuropsychological assessment, participants completed florbetapir (18F) PET scanning. They were then randomized to receive escitalopram or placebo for 8 weeks in a double-blinded two-to-one allocation rate. Individuals who did not respond to initial treatment transitioned to a second open-label trial of bupropion for another 8 weeks. RESULTS Compared with 22 amyloid-negative participants, 5 amyloid-positive participants exhibited significantly less change in depression severity and a lower likelihood of remission. In the initial blinded trial, 4 of 5 amyloid-positive participants were nonremitters (80%), while only 18% (4 of 22) of amyloid-negative participants did not remit (p = 0.017; Fisher's Exact test). In separate models adjusting for key covariates, both positive amyloid status (t = 3.07, 21 df, p = 0.003) and higher cortical amyloid binding by standard uptake value ratio (t = 2.62, 21 df, p = 0.010) were associated with less improvement in depression severity. Similar findings were observed when examining change in depression status across both antidepressant trials. CONCLUSIONS In this preliminary study, amyloid status predicted poor antidepressant response to sequential antidepressant treatment. Alternative treatment approaches may be needed for amyloid-positive depressed elders.
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Affiliation(s)
- Warren D Taylor
- The Center for Cognitive Medicine, Department of Psychiatry and Behavioral Sciences (WDT, BDB, PA, KA, JV, PAN, NDW, HK, SS), Vanderbilt University Medical Center, Nashville, TN; Geriatric Research, Education, and Clinical Center (WDT, PAN), Veterans Affairs Tennessee Valley Health System, Nashville, TN.
| | - Brian D Boyd
- The Center for Cognitive Medicine, Department of Psychiatry and Behavioral Sciences (WDT, BDB, PA, KA, JV, PAN, NDW, HK, SS), Vanderbilt University Medical Center, Nashville, TN
| | - Damian Elson
- The Center for Cognitive Medicine, Department of Psychiatry and Behavioral Sciences (WDT, BDB, PA, KA, JV, PAN, NDW, HK, SS), Vanderbilt University Medical Center, Nashville, TN
| | - Patricia Andrews
- The Center for Cognitive Medicine, Department of Psychiatry and Behavioral Sciences (WDT, BDB, PA, KA, JV, PAN, NDW, HK, SS), Vanderbilt University Medical Center, Nashville, TN
| | - Kimberly Albert
- The Center for Cognitive Medicine, Department of Psychiatry and Behavioral Sciences (WDT, BDB, PA, KA, JV, PAN, NDW, HK, SS), Vanderbilt University Medical Center, Nashville, TN
| | - Jennifer Vega
- The Center for Cognitive Medicine, Department of Psychiatry and Behavioral Sciences (WDT, BDB, PA, KA, JV, PAN, NDW, HK, SS), Vanderbilt University Medical Center, Nashville, TN
| | - Paul A Newhouse
- The Center for Cognitive Medicine, Department of Psychiatry and Behavioral Sciences (WDT, BDB, PA, KA, JV, PAN, NDW, HK, SS), Vanderbilt University Medical Center, Nashville, TN; Geriatric Research, Education, and Clinical Center (WDT, PAN), Veterans Affairs Tennessee Valley Health System, Nashville, TN
| | - Neil D Woodward
- The Center for Cognitive Medicine, Department of Psychiatry and Behavioral Sciences (WDT, BDB, PA, KA, JV, PAN, NDW, HK, SS), Vanderbilt University Medical Center, Nashville, TN
| | - Hakmook Kang
- Department of Biostatistics (HK), Vanderbilt University Medical Center, Nashville, TN
| | - Sepideh Shokouhi
- The Center for Cognitive Medicine, Department of Psychiatry and Behavioral Sciences (WDT, BDB, PA, KA, JV, PAN, NDW, HK, SS), Vanderbilt University Medical Center, Nashville, TN
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Smith GS, Kuwabara H, Nandi A, Gould NF, Nassery N, Savonenko A, Joo JH, Kraut M, Brasic J, Holt DP, Hall AW, Mathews WB, Dannals RF, Avramopoulos D, Workman CI. Molecular imaging of beta-amyloid deposition in late-life depression. Neurobiol Aging 2021; 101:85-93. [PMID: 33592548 PMCID: PMC8730327 DOI: 10.1016/j.neurobiolaging.2021.01.002] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Revised: 12/16/2020] [Accepted: 01/06/2021] [Indexed: 12/11/2022]
Abstract
Late-life depression (LLD) is associated with an increased risk of all-cause dementia and may involve Alzheimer's disease pathology. Twenty-one LLD patients who met the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, criteria for a current major depressive episode and 21 healthy controls underwent clinical and neuropsychological assessments, magnetic resonance imaging to measure gray matter volumes, and high-resolution positron emission tomography to measure beta-amyloid (Aβ) deposition. Clinical and neuropsychological assessments were repeated after 10-12 weeks of Citalopram or Sertraline treatment (LLD patients only). LLD patients did not differ from healthy controls in baseline neuropsychological function, although patients improved in both depressive symptoms and visual-spatial memory during treatment. Greater Aβ in the left parietal cortex was observed in LLD patients compared with controls. Greater Aβ was correlated with greater depressive symptoms and poorer visual-spatial memory, but not with improvement with treatment. The study of LLD patients with prospective measurements of mood and cognitive responses to antidepressant treatment is an opportunity to understand early neurobiological mechanisms underlying the association between depression and subsequent cognitive decline.
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Affiliation(s)
- Gwenn S Smith
- Division of Geriatric Psychiatry and Neuropsychiatry, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Division of Nuclear Medicine and Molecular Imaging.
| | | | - Ayon Nandi
- Division of Nuclear Medicine and Molecular Imaging
| | - Neda F Gould
- Division of Geriatric Psychiatry and Neuropsychiatry, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Najilla Nassery
- Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Alena Savonenko
- Department of Pathology (Neuropathology), Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Jin Hui Joo
- Division of Geriatric Psychiatry and Neuropsychiatry, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Michael Kraut
- Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - James Brasic
- Division of Nuclear Medicine and Molecular Imaging
| | | | | | | | | | - Dimitrios Avramopoulos
- Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Clifford I Workman
- Division of Geriatric Psychiatry and Neuropsychiatry, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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Chen B, Zhong X, Zhang M, Mai N, Wu Z, Chen X, Peng Q, Zhou H, Wang Q, Yang M, Zhang S, Auber LA, Croy I, Hummel T, Ning Y. The additive effect of late-life depression and olfactory dysfunction on the risk of dementia was mediated by hypersynchronization of the hippocampus/fusiform gyrus. Transl Psychiatry 2021; 11:172. [PMID: 33731679 PMCID: PMC7969612 DOI: 10.1038/s41398-021-01291-0] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Revised: 02/18/2021] [Accepted: 02/25/2021] [Indexed: 01/19/2023] Open
Abstract
Early detection of patients with late-life depression (LLD) with a high risk of developing dementia contributes to early intervention. Odor identification (OI) dysfunction serves as a marker for predicting dementia, but whether OI dysfunction increases the risk of dementia in LLD patients remains unclear. The present study aimed to explore the interactive effect of LLD and OI dysfunction on the risk of dementia and its underlying neuroimaging changes. One hundred and fifty-seven LLD patients and 101 normal controls were recruited, and data on their OI, cognition, activity of daily living (ADL), and resting-state functional magnetic resonance imaging were collected. Two × two factorial analyses were used to analyze the interactive effects of LLD and OI dysfunction on neuropsychological and neuroimaging abnormalities. Mediation analyses were used to explore whether abnormalities detected by neuroimaging mediated the the associations between OI and cognition/ADL. The results suggested that LLD and OI dysfunction exhibited additive effects on reduced ADL, global cognition and memory scores, as well as neuroimaging variables including (i) increased fractional amplitude of low-frequency fluctuation (fALFF) in the right orbitofrontal cortex and right precentral cortex, and (ii) increased regional homogeneity (ReHo) in the left hippocampus/fusiform gyrus, etc. In addition, these increased fALFF and ReHo values were associated with reduced neuropsychological scores (ADL, global cognition, memory, and language). Moreover, ReHo of the left hippocampus/fusiform gyrus completely mediated the relationship between OI and ADL, and partially mediated the relationship between OI and global cognition. Overall, mediated by the hypersynchronization of the left hippocampus/fusiform gyrus, OI dysfunction may increase the risk of dementia in LLD patients.
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Affiliation(s)
- Ben Chen
- Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, Guangdong Province, China
- Smell and Taste Clinic, Department of Otorhinolaryngology, Technische Universität Dresden, Dresden, Germany
| | - Xiaomei Zhong
- Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, Guangdong Province, China
| | - Min Zhang
- Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, Guangdong Province, China
| | - Naikeng Mai
- Department of Neurology, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, Guangdong Province, China
| | - Zhangying Wu
- Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, Guangdong Province, China
| | - Xinru Chen
- Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, Guangdong Province, China
| | - Qi Peng
- Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, Guangdong Province, China
| | - Huarong Zhou
- Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, Guangdong Province, China
| | - Qiang Wang
- Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, Guangdong Province, China
| | - Mingfeng Yang
- Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, Guangdong Province, China
| | - Si Zhang
- Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, Guangdong Province, China
| | - Lavinia Alberi Auber
- Department of Medicine, University of Fribourg, Fribourg, Switzerland
- Swiss Integrative Center of Human Health, Fribourg, Switzerland
| | - Ilona Croy
- Department of Psychosomatic Medicine, Technische Universität Dresden, Dresden, Germany
| | - Thomas Hummel
- Smell and Taste Clinic, Department of Otorhinolaryngology, Technische Universität Dresden, Dresden, Germany
| | - Yuping Ning
- Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, Guangdong Province, China.
- The first School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong Province, China.
- Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China.
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23
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Crosstalk between Depression and Dementia with Resting-State fMRI Studies and Its Relationship with Cognitive Functioning. Biomedicines 2021; 9:biomedicines9010082. [PMID: 33467174 PMCID: PMC7830949 DOI: 10.3390/biomedicines9010082] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2020] [Revised: 01/12/2021] [Accepted: 01/13/2021] [Indexed: 12/11/2022] Open
Abstract
Alzheimer’s disease (AD) is the most common type of dementia, and depression is a risk factor for developing AD. Epidemiological studies provide a clinical correlation between late-life depression (LLD) and AD. Depression patients generally remit with no residual symptoms, but LLD patients demonstrate residual cognitive impairment. Due to the lack of effective treatments, understanding how risk factors affect the course of AD is essential to manage AD. Advances in neuroimaging, including resting-state functional MRI (fMRI), have been used to address neural systems that contribute to clinical symptoms and functional changes across various psychiatric disorders. Resting-state fMRI studies have contributed to understanding each of the two diseases, but the link between LLD and AD has not been fully elucidated. This review focuses on three crucial and well-established networks in AD and LLD and discusses the impacts on cognitive decline, clinical symptoms, and prognosis. Three networks are the (1) default mode network, (2) executive control network, and (3) salience network. The multiple properties emphasized here, relevant for the hypothesis of the linkage between LLD and AD, will be further developed by ongoing future studies.
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β-amyloid pathology is not associated with depression in a large community sample autopsy study. J Affect Disord 2021; 278:372-381. [PMID: 33007627 DOI: 10.1016/j.jad.2020.09.062] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2020] [Revised: 06/06/2020] [Accepted: 09/11/2020] [Indexed: 12/18/2022]
Abstract
BACKGROUND Depression has been associated with dementia. This study aimed to verify if β-amyloid Alzheimer's disease-type burden was associated with lifetime major depressive disorder (MDD) and with current depressive symptoms in a large population-based autopsy study. METHODS We included 1013 deceased subjects submitted to autopsy (mean age=74.3±11.6 years, 49% men) in a community sample. β-amyloid burden was measured in all cases based on the Consortium to Establish a Registry for Alzheimer's Disease (CERAD) criteria for presence and density of neuritic plaques. Lifetime MDD was defined when at least one previous episode according to the Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders - DSM (SCID). Depressive symptoms and cognitive impairment were determined using the depression item of the Neuropsychiatric Inventory (D-NPI>0) and the Clinical Dementia Rating scale (CDR>0.5) respectively. RESULTS Lifetime MDD, late life depression (LLD) and current depressive symptoms were associated with cognitive impairment (p<0.001). Additionally, neuritic plaques were associated with cognitive impairment (p<0.001). Moderate or frequent neurite plaque density was not associated with MDD, LLD or current depressive symptoms in multiple logistic models adjusted for age, gender, and cognitive impairment. LIMITATIONS In this cross-sectional study, all neuropsychiatric and cognitive assessment were based on informant-report of deceased participants. CONCLUSIONS Different clinical depictions of depression were associated with dementia in this large community sample of elderly individuals with multiethnic backgrounds. Notwithstanding, they were unrelated to β-amyloid pathology in the brain areas studied. The link between depression and dementia might be complex and determined by multiple factors.
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25
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Gonzales MM, Samra J, O’Donnell A, Mackin RS, Salinas J, Jacob M, Satizabal CL, Aparicio HJ, Thibault EG, Sanchez JS, Finney R, Rubinstein ZB, Mayblyum DV, Killiany RJ, Decarli CS, Johnson KA, Beiser AS, Seshadri S. Association of Midlife Depressive Symptoms with Regional Amyloid-β and Tau in the Framingham Heart Study. J Alzheimers Dis 2021; 82:249-260. [PMID: 34024836 PMCID: PMC8900661 DOI: 10.3233/jad-210232] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
BACKGROUND Depressive symptoms predict increased risk for dementia decades before the emergence of cognitive symptoms. Studies in older adults provide preliminary evidence for an association between depressive symptoms and amyloid-β (Aβ) and tau accumulation. It is unknown if similar alterations are observed in midlife when preventive strategies may be most effective. OBJECTIVE The study aim was to evaluate the association between depressive symptoms and cerebral Aβ and tau in a predominately middle-aged cohort with examination of the apolipoprotein (APOE) ɛ4 allele as a moderator. METHODS Participants included 201 adults (mean age 53±8 years) who underwent 11C-Pittsburgh Compound B amyloid and 18F-Flortaucipir tau positron emission tomography (PET) imaging. Depressive symptoms were evaluated with the Center for Epidemiological Studies Depression Scale (CES-D) at the time of PET imaging, as well as eight years prior. Associations between depressive symptoms at both timepoints, as well as depression (CES-D≥16), with regional Aβ and tau PET retention were evaluated with linear regression adjusting for age and sex. Interactions with the APOE ɛ4 allele were explored. RESULTS Depressive symptoms and depression were not associated with PET outcomes in the overall sample. However, among APOE ɛ4 allele carriers, there was a significant cross-sectional association between depressive symptoms and increased tau PET uptake in the entorhinal cortex (β= 0.446, SE = 0.155, p = 0.006) and amygdala (β= 0.350, SE = 0.133, p = 0.012). CONCLUSION Although longitudinal studies are necessary, the results suggest that APOE ɛ4 carriers with depressive symptoms may present with higher susceptibility to early tau accumulation in regions integral to affective regulation and memory consolidation.
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Affiliation(s)
- Mitzi M. Gonzales
- Glenn Biggs Institute for Alzheimer’s & Neurodegenerative Diseases, University of Texas Health Science Center, San Antonio, TX, USA
- Department of Neurology, University of Texas Health Science Center, San Antonio, TX, USA
| | - Jasmeet Samra
- The Framingham Heart Study, Framingham, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Adrienne O’Donnell
- The Framingham Heart Study, Framingham, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - R. Scott Mackin
- Department of Psychiatry, University of California San Francisco, San Francisco, CA, USA
- Center for Imaging of Neurodegenerative Disease, Veteran Affairs Administration, San Francisco, CA, USA
| | - Joel Salinas
- Department of Neurology, New York University Grossman School of Medicine, New York, NY, USA
| | - Mini Jacob
- Glenn Biggs Institute for Alzheimer’s & Neurodegenerative Diseases, University of Texas Health Science Center, San Antonio, TX, USA
- The Framingham Heart Study, Framingham, MA, USA
- Department of Population Health Sciences, University of Texas Health Science Center, San Antonio, TX, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - Claudia L. Satizabal
- Glenn Biggs Institute for Alzheimer’s & Neurodegenerative Diseases, University of Texas Health Science Center, San Antonio, TX, USA
- The Framingham Heart Study, Framingham, MA, USA
- Department of Population Health Sciences, University of Texas Health Science Center, San Antonio, TX, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - Hugo J. Aparicio
- The Framingham Heart Study, Framingham, MA, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - Emma G. Thibault
- Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Justin S. Sanchez
- Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | | | - Zoe B. Rubinstein
- Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Danielle V. Mayblyum
- Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Ron J. Killiany
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
- Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA, USA
| | - Charlie S. Decarli
- Department of Neurology, University of California Davis, Davis, CA, USA
- Center for Neuroscience, University of California Davis, Davis, CA, USA
| | - Keith A. Johnson
- Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Department of Neurology, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Alexa S. Beiser
- The Framingham Heart Study, Framingham, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - Sudha Seshadri
- Glenn Biggs Institute for Alzheimer’s & Neurodegenerative Diseases, University of Texas Health Science Center, San Antonio, TX, USA
- Department of Neurology, University of Texas Health Science Center, San Antonio, TX, USA
- The Framingham Heart Study, Framingham, MA, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
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26
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Loureiro JC, Stella F, Pais MV, Radanovic M, Canineu PR, Joaquim HPG, Talib LL, Forlenza OV. Cognitive impairment in remitted late-life depression is not associated with Alzheimer's disease-related CSF biomarkers. J Affect Disord 2020; 272:409-416. [PMID: 32553384 DOI: 10.1016/j.jad.2020.03.166] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2019] [Revised: 02/23/2020] [Accepted: 03/29/2020] [Indexed: 10/24/2022]
Abstract
BACKGROUND Cognitive impairment is a common feature of late-life depression (LLD). Early studies using Alzheimer's disease (AD) biomarkers inferred a biological link between AD pathology and LLD, but recent findings have challenged this association. The aim of this investigation was to determine a panel of AD-related cerebrospinal fluid (CSF) biomarkers in a cross-section of elders with mild cognitive impairment (MCI) with and without LLD. METHODS Subjects comprised 102 older adults: 27 with 'pure' amnestic MCI (aMCI), 53 with major depression and cognitive impairment - encompassing 22 late-onset (LOD) and 31 early-onset depression (EOD), and 22 euthymic elders without cognitive impairment (controls). Participants underwent lumbar puncture for determination of CSF concentrations of Aβ1-42, T-tau, and P-tau. Cut-off scores for suspected AD were: Aβ1-42 < 416p g/mL, P-tau > 36.1 pg/mL and Aβ/P-tau ratio < 9.53 (O. V. Forlenza et al. 2015). Statistical analyses consisted of analyses of variance (ANOVA), analyses of covariance (ANCOVA), Bonferroni post-hoc tests, and Pearson's chi-squared tests. RESULTS ANCOVA (age and schooling as covariates) displayed statistically significant results with respect to CSF biomarkers' profiles regardless of the socio-demographic divergencies previously identified by one-way ANOVA. Mean Aβ1-42 values (pg/mL) were: aMCI, 360.3 (p < 0.001); LOD, 486.6 (p < 0.001); EOD, 494.2 (p < 0.001); controls, 528.3 (p < 0.001); p< 0.05. Mean Aβ1-42/P-tau ratio: aMCI, 7.9 (p < 0.001); LOD 14.2 (p < 0.001); EOD, 15.3 (p < 0.001); controls, 17.1 (p < 0.001); p < 0.05. Post-hoc tests indicated that patients with aMCI showed significant differences in biomarker profile compatible with AD signature. LIMITATION The main limitation is the relatively small sample. CONCLUSION Our findings suggest that, distinctively from aMCI, cognitive impairment in LLD is not associated with AD's CSF pathological signature.
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Affiliation(s)
- Júlia C Loureiro
- Laboratorio de Neurociencias LIM27, Departamento e Instituto de Psiquiatria, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brasil.
| | - Florindo Stella
- Laboratorio de Neurociencias LIM27, Departamento e Instituto de Psiquiatria, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brasil; UNESP- Universidade Estadual Paulista, Instituto de Biociências, Rio Claro, SP, Brasil
| | - Marcos V Pais
- Laboratorio de Neurociencias LIM27, Departamento e Instituto de Psiquiatria, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brasil
| | - Marcia Radanovic
- Laboratorio de Neurociencias LIM27, Departamento e Instituto de Psiquiatria, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brasil
| | - Paulo R Canineu
- Laboratorio de Neurociencias LIM27, Departamento e Instituto de Psiquiatria, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brasil; Programa de Gerontologia, Pontifícia Universidade Católica de São Paulo, São Paulo, SP, Brasil
| | - Helena P G Joaquim
- Laboratorio de Neurociencias LIM27, Departamento e Instituto de Psiquiatria, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brasil
| | - Leda L Talib
- Laboratorio de Neurociencias LIM27, Departamento e Instituto de Psiquiatria, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brasil
| | - Orestes V Forlenza
- Laboratorio de Neurociencias LIM27, Departamento e Instituto de Psiquiatria, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brasil
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27
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Lu X, Chen J, Shu H, Wang Z, Shi Y, Yuan Y, Xie C, Liao W, Su F, Shi Y, Zhang Z. Predicting conversion to Alzheimer's disease among individual high-risk patients using the Characterizing AD Risk Events index model. CNS Neurosci Ther 2020; 26:720-729. [PMID: 32243064 PMCID: PMC7298996 DOI: 10.1111/cns.13371] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Revised: 02/29/2020] [Accepted: 03/12/2020] [Indexed: 12/17/2022] Open
Abstract
AIMS Both amnestic mild cognitive impairment (aMCI) and remitted late-onset depression (rLOD) confer a high risk of developing Alzheimer's disease (AD). This study aims to determine whether the Characterizing AD Risk Events (CARE) index model can effectively predict conversion in individuals at high risk for AD development either in an independent aMCI population or in an rLOD population. METHODS The CARE index model was constructed based on the event-based probabilistic framework fusion of AD biomarkers to differentiate individuals progressing to AD from cognitively stable individuals in the aMCI population (27 stable subjects, 6 progressive subjects) and rLOD population (29 stable subjects, 10 progressive subjects) during the follow-up period. RESULTS AD diagnoses were predicted in the aMCI population with a balanced accuracy of 80.6%, a sensitivity of 83.3%, and a specificity of 77.8%. They were also predicted in the rLOD population with a balanced accuracy of 74.5%, a sensitivity of 80.0%, and a specificity of 69.0%. In addition, the CARE index scores were observed to be negatively correlated with the composite Z scores for episodic memory (R2 = .17, P < .001) at baseline in the combined high-risk population (N = 72). CONCLUSIONS The CARE index model can be used for the prediction of conversion to AD in both aMCI and rLOD populations effectively. Additionally, it can be used to monitor the disease severity of patients.
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Affiliation(s)
- Xiang Lu
- Department of NeurologySchool of MedicineAffiliated ZhongDa HospitalSoutheast UniversityNanjingChina
| | - Jiu Chen
- Department of NeurologySchool of MedicineAffiliated ZhongDa HospitalSoutheast UniversityNanjingChina
- Institute of NeuropsychiatryThe Affiliated Brain Hospital of Nanjing Medical UniversityNanjingChina
| | - Hao Shu
- Department of NeurologySchool of MedicineAffiliated ZhongDa HospitalSoutheast UniversityNanjingChina
| | - Zan Wang
- Department of NeurologySchool of MedicineAffiliated ZhongDa HospitalSoutheast UniversityNanjingChina
| | - Yong‐mei Shi
- Department of NeurologySchool of MedicineAffiliated ZhongDa HospitalSoutheast UniversityNanjingChina
| | - Yong‐gui Yuan
- Department of Psychosomatics and PsychiatryAffiliated ZhongDa Hospital of Southeast UniversityNanjingChina
| | - Chun‐ming Xie
- Department of NeurologySchool of MedicineAffiliated ZhongDa HospitalSoutheast UniversityNanjingChina
| | - Wen‐xiang Liao
- Department of NeurologySchool of MedicineAffiliated ZhongDa HospitalSoutheast UniversityNanjingChina
| | - Fan Su
- Department of NeurologySchool of MedicineAffiliated ZhongDa HospitalSoutheast UniversityNanjingChina
| | - Ya‐chen Shi
- Department of NeurologySchool of MedicineAffiliated ZhongDa HospitalSoutheast UniversityNanjingChina
| | - Zhi‐jun Zhang
- Department of NeurologySchool of MedicineAffiliated ZhongDa HospitalSoutheast UniversityNanjingChina
- Department of PsychologyXinxiang Medical UniversityXinxiangChina
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28
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Carvalho AF, Solmi M, Sanches M, Machado MO, Stubbs B, Ajnakina O, Sherman C, Sun YR, Liu CS, Brunoni AR, Pigato G, Fernandes BS, Bortolato B, Husain MI, Dragioti E, Firth J, Cosco TD, Maes M, Berk M, Lanctôt KL, Vieta E, Pizzagalli DA, Smith L, Fusar-Poli P, Kurdyak PA, Fornaro M, Rehm J, Herrmann N. Evidence-based umbrella review of 162 peripheral biomarkers for major mental disorders. Transl Psychiatry 2020; 10:152. [PMID: 32424116 PMCID: PMC7235270 DOI: 10.1038/s41398-020-0835-5] [Citation(s) in RCA: 105] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/02/2020] [Revised: 04/03/2020] [Accepted: 05/01/2020] [Indexed: 01/03/2023] Open
Abstract
The literature on non-genetic peripheral biomarkers for major mental disorders is broad, with conflicting results. An umbrella review of meta-analyses of non-genetic peripheral biomarkers for Alzheimer's disease, autism spectrum disorder, bipolar disorder (BD), major depressive disorder, and schizophrenia, including first-episode psychosis. We included meta-analyses that compared alterations in peripheral biomarkers between participants with mental disorders to controls (i.e., between-group meta-analyses) and that assessed biomarkers after treatment (i.e., within-group meta-analyses). Evidence for association was hierarchically graded using a priori defined criteria against several biases. The Assessment of Multiple Systematic Reviews (AMSTAR) instrument was used to investigate study quality. 1161 references were screened. 110 met inclusion criteria, relating to 359 meta-analytic estimates and 733,316 measurements, on 162 different biomarkers. Only two estimates met a priori defined criteria for convincing evidence (elevated awakening cortisol levels in euthymic BD participants relative to controls and decreased pyridoxal levels in participants with schizophrenia relative to controls). Of 42 estimates which met criteria for highly suggestive evidence only five biomarker aberrations occurred in more than one disorder. Only 15 meta-analyses had a power >0.8 to detect a small effect size, and most (81.9%) meta-analyses had high heterogeneity. Although some associations met criteria for either convincing or highly suggestive evidence, overall the vast literature of peripheral biomarkers for major mental disorders is affected by bias and is underpowered. No convincing evidence supported the existence of a trans-diagnostic biomarker. Adequately powered and methodologically sound future large collaborative studies are warranted.
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Affiliation(s)
- André F Carvalho
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada.
- Centre for Addiction & Mental Health (CAMH), Toronto, ON, Canada.
| | - Marco Solmi
- Neuroscience Department, University of Padova, Padova, Italy
- Neuroscience Center, University of Padova, Padova, Italy
- Early Psychosis: Interventions and Clinical-detection (EPIC) lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Marcos Sanches
- Centre for Addiction & Mental Health (CAMH), Toronto, ON, Canada
- Krembil Centre for NeuroInformatics, Toronto, ON, Canada
| | - Myrela O Machado
- Division of Dermatology, Women's College Hospital, Toronto, ON, Canada
| | - Brendon Stubbs
- Physiotherapy Department, South London and Maudsley NHS Foundation Trust, London, UK
- Health Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, London, UK
| | - Olesya Ajnakina
- Department of Biostatistics & Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Chelsea Sherman
- Neuropsychopharmacology Research Group, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Yue Ran Sun
- Neuropsychopharmacology Research Group, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Celina S Liu
- Neuropsychopharmacology Research Group, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Andre R Brunoni
- Service of Interdisciplinary Neuromodulation, Laboratory of Neurosciences (LIM-27) and National Institute of Biomarkers in Psychiatry (INBioN), Department and Institute of Psychiatry, University of São Paulo, São Paulo, SP, Brazil
- Department of Internal Medicine, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
| | - Giorgio Pigato
- Neuroscience Department, University of Padova, Padova, Italy
- Neuroscience Center, University of Padova, Padova, Italy
| | - Brisa S Fernandes
- Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center, Houston, TX, USA
| | | | - Muhammad I Husain
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- Centre for Addiction & Mental Health (CAMH), Toronto, ON, Canada
| | - Elena Dragioti
- Pain and Rehabilitation Centre, and Department of Medical and Health Sciences, Linköping University, SE-581 85, Linköping, Sweden
| | - Joseph Firth
- NICM Health Research Institute, Western Sydney University, Westmead, Australia
- Division of Psychology and Mental Health, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Theodore D Cosco
- Gerontology Research Center, Simon Fraser University, Vancouver, Canada
- Oxford Institute of Population Ageing, University of Oxford, Oxford, UK
| | - Michael Maes
- Department of Psychiatry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
- IMPACT Strategic Research Center, Deakin University, Geelong, Australia
| | - Michael Berk
- IMPACT Strategic Research Center, Deakin University, Geelong, Australia
- Orygen, the National Centre of Excellence in Youth Mental Health, Melbourne, VIC, Australia
- Centre for Youth Mental Health, University of Melbourne, Melbourne, VIC, Australia
- Florey Institute for Neuroscience and Mental Health, University of Melbourne, Melbourne, VIC, Australia
| | - Krista L Lanctôt
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- Centre for Addiction & Mental Health (CAMH), Toronto, ON, Canada
- Neuropsychopharmacology Research Group, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, ON, Canada
- Sunnybrook Research Institute, Toronto, ON, Canada
- Department of Pharmacology and Toxicology, University of Toronto, Toronto, ON, Canada
| | - Eduard Vieta
- Psychiatry and Psychology Department of the Hospital Clinic, Institute of Neuroscience, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Diego A Pizzagalli
- Department of Psychiatry & McLean Hospital, Harvard Medical School, Belmont, MA, 02478, USA
| | - Lee Smith
- The Cambridge Centre for Sport and Exercise Sciences, Anglia Ruskin University, Cambridge, UK
| | - Paolo Fusar-Poli
- Early Psychosis: Interventions and Clinical-detection (EPIC) lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- OASIS Service, South London and Maudsley National Health Service Foundation Trust, London, UK
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Paul A Kurdyak
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- Canada Institute for Clinical Evaluative Sciences (ICES), Toronto, ON, Canada
- Institute for Mental Health Policy Research, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - Michele Fornaro
- Department of Neuroscience, Reproductive Science and Dentistry, Section of Psychiatr, University School of Medicine Federico II, Naples, Italy
| | - Jürgen Rehm
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- Institute for Mental Health Policy Research, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
- Campbell Family Mental Health Research Institute, CAMH, Toronto, Canada
- Addiction Policy, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
- Institute of Clinical Psychology and Psychotherapy & Center for Clinical Epidemiology and Longitudinal Studies, Technische Universität Dresden, Dresden, Germany
- Institute of Medical Science, University of Toronto, Toronto, Canada
- Department of International Health Projects, Institute for Leadership and Health Management, I.M. Sechenov First Moscow State Medical University, Moscow, Russian Federation
| | - Nathan Herrmann
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- Neuropsychopharmacology Research Group, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, ON, Canada
- Sunnybrook Research Institute, Toronto, ON, Canada
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Tereshkina EB, Boksha IS, Prokhorova TA, Savushkina OK, Burbaeva GS, Morozova MA, Mukaetova-Ladinska EB. Decrease in 130 kDa- amyloid protein precursor protein (APP) and APP protein ratio in schizophrenia platelets. Neurosci Lett 2020; 725:134914. [PMID: 32194134 DOI: 10.1016/j.neulet.2020.134914] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2020] [Revised: 03/05/2020] [Accepted: 03/15/2020] [Indexed: 11/17/2022]
Abstract
Cognitive dysfunction is common among people with schizophrenia. The molecular substrates underlying this remain poorly understood. To address this, we analyzed changes in amyloid precursor protein (APP) in platelets of people with acute schizophrenia (n=24) and control subjects (n=20) by ECL-immunoblotting. APP bands corresponding to molecular masses of ∼130, ∼110 and ∼100 kDa, and the APP ratio (APPr: highest APP molecular mass vs lowest APP molecular mass bands) were quantified. The intensity of 130 kDa-APP and the APPr were significantly reduced in schizophrenia patients compared to control subjects. The age-associated decreases in the 130 kDa, ∼110 kDa proteins and APPr were present in patients, but not controls. Our results confirm peripheral APP metabolism is altered in people with schizophrenia. Further work is now warranted on a larger sample of diseased subjects with detailed cognitive assessment to determine the APP role in cognitive processing in schizophrenia, how it is related to severity and disease progression, as well as outcomes.
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Affiliation(s)
| | - I S Boksha
- Mental Health Research Centre, Moscow, Russia; N. F. Gamaleya National Research Center of Epidemiology and Microbiology, Ministry of Health of the Russian Federation, 123098 Moscow, Russia.
| | | | | | | | | | - E B Mukaetova-Ladinska
- Department of Neuroscience, Psychology and Behavior, University of Leicester, Leicester, LE1 7RH, UK; The Evington Centre, Leicestershire Partnership NHS Trust, Leicester General Hospital, Gwendolen Rd, Leicester LE5 4QG, UK
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Brodaty H, Connors MH. Pseudodementia, pseudo-pseudodementia, and pseudodepression. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2020; 12:e12027. [PMID: 32318620 PMCID: PMC7167375 DOI: 10.1002/dad2.12027] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/17/2020] [Accepted: 02/19/2020] [Indexed: 12/20/2022]
Abstract
Dementia has a wide range of reversible causes. Well known among these is depression, though other psychiatric disorders can also impair cognition and give the appearance of neurodegenerative disease. This phenomenon has been known historically as "pseudodementia." Although this topic attracted significant interest in the 1980s and 1990s, research on the topic has waned. In this paper, we consider reasons for this decline, including objections to the term itself and controversy about its distinctness from organic dementia. We discuss limitations in the arguments put forward and existing research, which, crucially, does not support inevitable progression. We also discuss other neglected masquerades, such as of pseudodementia itself ("pseudo-pseudodementia") and depression ("pseudodepression"). Based on this reappraisal, we argue that these terms, while not replacing modern diagnostic criteria, remain relevant as they highlight unique groups of patients, potential misdiagnosis, and important, but neglected, areas of research.
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Affiliation(s)
- Henry Brodaty
- Dementia Centre for Research CollaborationUNSW SydneySydneyAustralia
- Centre for Healthy Brain AgeingUNSW SydneySydneyAustralia
| | - Michael H. Connors
- Dementia Centre for Research CollaborationUNSW SydneySydneyAustralia
- Centre for Healthy Brain AgeingUNSW SydneySydneyAustralia
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31
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Rashidi-Ranjbar N, Miranda D, Butters MA, Mulsant BH, Voineskos AN. Evidence for Structural and Functional Alterations of Frontal-Executive and Corticolimbic Circuits in Late-Life Depression and Relationship to Mild Cognitive Impairment and Dementia: A Systematic Review. Front Neurosci 2020; 14:253. [PMID: 32362808 PMCID: PMC7182055 DOI: 10.3389/fnins.2020.00253] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2019] [Accepted: 03/06/2020] [Indexed: 01/12/2023] Open
Abstract
Depression is a risk factor for developing Alzheimer's disease and Related Dementia (ADRD). We conducted a systematic review between 2008 and October 2018, to evaluate the evidence for a conceptual mechanistic model linking depression and ADRD, focusing on frontal-executive and corticolimbic circuits. We focused on two neuroimaging modalities: diffusion-weighted imaging measuring white matter tract disruptions and resting-state functional MRI measuring alterations in network dynamics in late-life depression (LLD), mild cognitive impairment (MCI), and LLD+MCI vs. healthy control (HC) individuals. Our data synthesis revealed that in some but not all studies, impairment of both frontal-executive and corticolimbic circuits, as well as impairment of global brain topology was present in LLD, MCI, and LLD+MCI vs. HC groups. Further, posterior midline regions (posterior cingulate cortex and precuneus) appeared to have the most structural and functional alterations in all patient groups. Future cohort and longitudinal studies are required to address the heterogeneity of findings, and to clarify which subgroups of people with LLD are at highest risk for developing MCI and ADRD.
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Affiliation(s)
- Neda Rashidi-Ranjbar
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada.,Campbell Family Mental Health Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Dayton Miranda
- Campbell Family Mental Health Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Meryl A Butters
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
| | - Benoit H Mulsant
- Campbell Family Mental Health Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Aristotle N Voineskos
- Campbell Family Mental Health Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Department of Psychiatry, University of Toronto, Toronto, ON, Canada
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Medical Histories of Control Subjects Influence the Biomarker Potential of Plasma Aβ in Alzheimer's Disease: a Meta-analysis. J Mol Neurosci 2020; 70:861-870. [PMID: 32125624 DOI: 10.1007/s12031-020-01510-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2019] [Accepted: 02/19/2020] [Indexed: 12/19/2022]
Abstract
Whether blood amyloid-β (Aβ) could be a peripheral biomarker of Alzheimer's disease (AD) remains in dispute. In the present study, we conducted a meta-analysis with 19 citations searched from Embase, PubMed, and the Cochrane Library database. Weighted mean difference (WMD) with 95% confidence intervals (CIs) was used to estimate the effect size. We firstly analyzed the plasma Aβ40, Aβ42, and Aβ42/Aβ40 ratio in AD and control group subjects. However, only a lower level of plasma Aβ42 was figured out in AD group subjects with weak statistical significance (WMD 1.82; 95% CI 0.59, 3.06; P = 0.004; I2 = 84%). We considered that the medical histories of control subjects could influence the biomarker ability of plasma Aβ. Therefore, subgroup analyses were then carried out based on a new recruiting criterion for control subjects, defining as no afflictions of any Aβ-related diseases. Surprisingly, AD group subjects showed a significant decrease in plasma Aβ42/Aβ40 ratio with low heterogeneity among studies (WMD 0.02; 95% CI 0.02, 0.02; P < 0.00001; I2 = 0%). Moreover, not only the Aβ42/Aβ40 ratio but also Aβ42 and Aβ40 were indifferent between AD and pseudo-control subjects which might be afflicted with Aβ-related diseases. This meta-analysis demonstrated that medical histories of control subjects were interference factors impeding plasma Aβ to be a biomarker of AD.
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Abstract
The relationship between depressive disorders in the elderly and dementia, particularly Alzheimer’s disease (AD), is highly complex. While the nature of this relationship is still a matter of debate, differential diagnosis and treatment remain a great clinical challenge. We review recent findings on the conundrum of depressive disorders in the elderly and AD. There is a biological continuum between depressive disorders in the elderly – or at least a subgroup of them – and AD. While elderly subjects with depression and patients with AD exhibit higher circulating levels of pro-inflammatory molecules and lower BDNF than matched controls, CSF levels of Aβ42 can discriminate AD from depressive disorders in the elderly. The role of antidepressant treatment as a strategy to minimize the risk of AD remains to be established.
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Affiliation(s)
- Natália S Dias
- Neuroscience Program, Institute of Biological Sciences, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil
| | - Izabela G Barbosa
- Neuroscience Program, Institute of Biological Sciences, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.,Department of Mental Health, School of Medicine, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil
| | - Weihong Kuang
- Department of Psychiatry, West China Hospital of Sichuan University, Chengdu, China
| | - Antonio L Teixeira
- Neuroscience Program, Institute of Biological Sciences, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.,Department of Psychiatry and Behavioral Sciences, UT Health, Houston, United States.,Instituto de Ensino e Pesquisa, Santa Casa BH, Belo Horizonte, MG, Brazil
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Liu FR, Yang LY, Zheng HF, Zhou Y, Chen BB, Xu H, Zhang YW, Shen DY. Plasma levels of Interleukin 18 but not amyloid-β or Tau are elevated in female depressive patients. Compr Psychiatry 2020; 97:152159. [PMID: 31931428 DOI: 10.1016/j.comppsych.2020.152159] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2019] [Revised: 11/20/2019] [Accepted: 12/31/2019] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND Depression is associated with inflammation and Alzheimer's disease (AD). However, detailed molecular mechanisms linking mood, neuroinflammation and AD remain unclear. Although changes in peripheral inflammatory factors such as Interleukin 18 (IL18), and AD-associated amyloid-β (Aβ) peptides have been linked to depression, a solid relationship between these factors in depressive disorder has yet to be established. This study aims to further determine whether plasma IL18, Aβ40, Aβ42, and the AD-associated tangle component Tau, as well as IL18 single nucleotide polymorphisms (SNPs) may be biomarkers for depression. METHODS We measured plasma IL18, Aβ40, Aβ42, and Tau in 64 depressive patients and 75 healthy controls, and characterized genotypes of three IL18 SNPs (rs187238, rs1946518 and rs1946519) in these subjects. Comparisons between depressive patients and controls were carried out in males, in females or in combination. Regression analyses were conducted to examine the correlation between these parameters. RESULTS We found that none of the plasma levels of IL18, Aβ40, Aβ42, and Tau, the ratio of Aβ42/Aβ40, and the genotypes of IL18 SNPs were significantly different between combined depressive patients and combined healthy controls, or between male depressive patients and male controls. However, IL18 levels were less in females than in males in healthy people and were significantly increased in female depressive patients compared to female controls. Moreover, IL18 and standardized IL18 were correlated with standardized Aβ42/Aβ40 ratio and standardized Tau in depressive patients. CONCLUSIONS Plasma IL18 may be a potential biomarker for depression in women.
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Affiliation(s)
- Fa-Rong Liu
- Department of Psychology, The First Affiliated Hospital of Xiamen University, Xiamen, Fujian, China; Fujian Provincial Key Laboratory of Neurodegenerative Disease and Aging Research, Institute of Neuroscience, School of Medicine, Xiamen University, Xiamen, Fujian, China; Xiamen City Xianyue Hospital, Xiamen, Fujian, China
| | - Lu-Yin Yang
- Arts College of Xiamen University, Xiamen, Fujian, China
| | | | - Yunqiang Zhou
- Fujian Provincial Key Laboratory of Neurodegenerative Disease and Aging Research, Institute of Neuroscience, School of Medicine, Xiamen University, Xiamen, Fujian, China
| | - Bin-Bin Chen
- Xiamen City Xianyue Hospital, Xiamen, Fujian, China
| | - Huaxi Xu
- Neuroscience Initiative, Sanford-Burnham-Prebys Medical Discovery Institute, La Jolla, CA, USA
| | - Yun-Wu Zhang
- Fujian Provincial Key Laboratory of Neurodegenerative Disease and Aging Research, Institute of Neuroscience, School of Medicine, Xiamen University, Xiamen, Fujian, China.
| | - Dong-Yan Shen
- Center Laboratory, The First Affiliated Hospital of Xiamen University, Xiamen, Fujian, China.
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35
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Yasuda S, Baba H, Maeshima H, Shimano T, Inoue M, Ichikawa T, Shukuzawa H, Suzuki T, Arai H. Serum levels and mutual correlations of amyloid β in patients with depression. Geriatr Gerontol Int 2019; 20:125-129. [PMID: 31833164 DOI: 10.1111/ggi.13826] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2019] [Revised: 10/09/2019] [Accepted: 11/11/2019] [Indexed: 11/28/2022]
Abstract
AIM Epidemiological studies have shown that depression is a risk factor for Alzheimer's disease (AD). Although the biological mechanism underlying the link between depression and AD is unclear, altered amyloid β (Aβ) metabolism in patients with depression has been suggested as a potential mechanism. Results from previous studies of Aβ metabolism in patients with depression have been inconsistent, and Aβ polymerization, which is a crucial process in AD pathology, has not previously been assessed. METHODS Serum levels of Aβ40, Aβ42 and Aβ oligomers were evaluated in 104 inpatients with major depressive disorder (MDD) and 132 healthy control individuals. RESULTS Lower serum Aβ42 levels were observed in patients with MDD, but there was no difference in serum Aβ oligomer levels between the MDD group and the healthy control group, even in older adults. Interestingly, serum Aβ oligomer levels in patients with MDD were dependent on serum Aβ42 levels, regardless of age, and this relationship was not observed in the control group. CONCLUSIONS These results suggest that Aβ42 is more prone to aggregation and polymerization in patients with depression than in healthy individuals, suggesting a possible mechanism underlying the transition from depression to AD. Geriatr Gerontol Int 2020; 20: 125-129.
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Affiliation(s)
- Seita Yasuda
- Department of Psychiatry & Behavioral Science, Juntendo university Graduate School of Medicine, Tokyo, Japan
| | - Hajime Baba
- Department of Psychiatry & Behavioral Science, Juntendo university Graduate School of Medicine, Tokyo, Japan.,Juntendo University Mood Disorder Project (JUMP), Department of Psychiatry, Juntendo Koshigaya Hospital, Saitama, Japan
| | - Hitoshi Maeshima
- Department of Psychiatry & Behavioral Science, Juntendo university Graduate School of Medicine, Tokyo, Japan.,Juntendo University Mood Disorder Project (JUMP), Department of Psychiatry, Juntendo Koshigaya Hospital, Saitama, Japan
| | - Takahisa Shimano
- Juntendo University Mood Disorder Project (JUMP), Department of Psychiatry, Juntendo Koshigaya Hospital, Saitama, Japan
| | - Megumi Inoue
- Juntendo University Mood Disorder Project (JUMP), Department of Psychiatry, Juntendo Koshigaya Hospital, Saitama, Japan
| | - Tomoya Ichikawa
- Department of Psychiatry & Behavioral Science, Juntendo university Graduate School of Medicine, Tokyo, Japan
| | - Hiroko Shukuzawa
- Department of Psychiatry & Behavioral Science, Juntendo university Graduate School of Medicine, Tokyo, Japan.,Juntendo University Mood Disorder Project (JUMP), Department of Psychiatry, Juntendo Koshigaya Hospital, Saitama, Japan
| | - Toshihito Suzuki
- Department of Psychiatry & Behavioral Science, Juntendo university Graduate School of Medicine, Tokyo, Japan.,Juntendo University Mood Disorder Project (JUMP), Department of Psychiatry, Juntendo Koshigaya Hospital, Saitama, Japan
| | - Heii Arai
- Department of Psychiatry & Behavioral Science, Juntendo university Graduate School of Medicine, Tokyo, Japan
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Banning LCP, Ramakers IHGB, Deckers K, Verhey FRJ, Aalten P. Affective symptoms and AT(N) biomarkers in mild cognitive impairment and Alzheimer's disease: A systematic literature review. Neurosci Biobehav Rev 2019; 107:346-359. [PMID: 31525387 DOI: 10.1016/j.neubiorev.2019.09.014] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2019] [Revised: 09/06/2019] [Accepted: 09/09/2019] [Indexed: 01/21/2023]
Abstract
INTRODUCTION Alzheimer's disease (AD) biomarkers such as amyloid, p-tau and neuronal injury markers have been associated with affective symptoms in cognitively impaired individuals, but results are conflicting. METHODS CINAHL, Embase, PsycINFO and PubMed were searched for studies evaluating AD biomarkers with affective symptoms in mild cognitive impairment and AD dementia. Studies were classified according to AT(N) research criteria. RESULT Forty-five abstracts fulfilled eligibility criteria, including in total 8,293 patients (41 cross-sectional studies and 7 longitudinal studies). Depression and night-time behaviour disturbances were not related to AT(N) markers. Apathy was associated with A markers (PET, not CSF). Mixed findings were reported for the association between apathy and T(N) markers; anxiety and AT(N) markers; and between agitation and irritability and A markers. Agitation and irritability were not associated with T(N) markers. DISCUSSION Whereas some AD biomarkers showed to be associated with affective symptoms in AD, most evidence was inconsistent. This is likely due to differences in study design or heterogeneity in affective symptoms. Directions for future research are given.
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Affiliation(s)
- Leonie C P Banning
- Alzheimer Center Limburg, Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, PO Box 616, 6200 MD, Maastricht, the Netherlands.
| | - Inez H G B Ramakers
- Alzheimer Center Limburg, Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, PO Box 616, 6200 MD, Maastricht, the Netherlands.
| | - Kay Deckers
- Alzheimer Center Limburg, Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, PO Box 616, 6200 MD, Maastricht, the Netherlands.
| | - Frans R J Verhey
- Alzheimer Center Limburg, Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, PO Box 616, 6200 MD, Maastricht, the Netherlands.
| | - Pauline Aalten
- Alzheimer Center Limburg, Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, PO Box 616, 6200 MD, Maastricht, the Netherlands.
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Jamieson A, Goodwill AM, Termine M, Campbell S, Szoeke C. Depression related cerebral pathology and its relationship with cognitive functioning: A systematic review. J Affect Disord 2019; 250:410-418. [PMID: 30878653 DOI: 10.1016/j.jad.2019.03.042] [Citation(s) in RCA: 53] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2018] [Revised: 02/26/2019] [Accepted: 03/04/2019] [Indexed: 01/29/2023]
Abstract
BACKGROUND Depression's relationship with cerebral abnormalities and cognitive decline is temporally dynamic. Despite clear clinical utility, understanding depression's effect on cerebral structures, cognitive impairment and the interaction between these symptoms has had limited consideration. METHODS This review summarised studies examining a clinical depression diagnosis or validated scales measuring depressive symptoms, data concerning amyloid-beta (Aβ) levels, brain structure and function focusing on hippocampal alterations, or white matter hyperintensities (WMH), and at least one validated neuropsychological test. Online database searches of: PsycINFO, EMBASE, MEDLINE, and Scopus were conducted to identify potential articles. RESULTS While depression was consistently associated with cross-sectionally cognitive decline across multiple domains, the neuropathological basis of this dysfunction remained unclear. Hippocampal, frontal, and limbic dysfunction as well as cortical thinning, WMH, and Aβ burden all provide inconsistent findings, likely due to depression subtypes. The consistency of these findings additionally decreases when examining this relationship longitudinally, as these results are further confounded by pre-dementia states. The therapeutic interventions examined were more efficacious in the younger compared with the older samples, who were characterised by greater WMH and Aβ burden. LIMITATIONS The limited number of longitudinal and interventional studies in addition to the heterogeneity of the samples restricts their generalisability. CONCLUSIONS Symptomatological differences between early-onset and late-onset depression (EOD and LOD) appear crucial in understanding whether late-life depression is the primary or secondary source of cerebral pathology. Though severe cognitive impairments and clearer neuropathological underpinnings are more characteristic of LOD than EOD, the inconsistency of valid biomarkers remains problematic.
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Affiliation(s)
- Alec Jamieson
- Centre for Medical Research, Royal Melbourne Hospital, Faculty of Medicine Dentistry and Health Sciences, University of Melbourne, Parkville, Victoria, Australia
| | - Alicia M Goodwill
- Centre for Medical Research, Royal Melbourne Hospital, Faculty of Medicine Dentistry and Health Sciences, University of Melbourne, Parkville, Victoria, Australia; Healthy Brain Initiative, Faculty of Health Sciences, Australian Catholic University, Melbourne, Victoria, Australia
| | - Mario Termine
- Centre for Medical Research, Royal Melbourne Hospital, Faculty of Medicine Dentistry and Health Sciences, University of Melbourne, Parkville, Victoria, Australia
| | - Stephen Campbell
- Australian Healthy Ageing Organisation (AHAO), Parkville, Victoria, Australia
| | - Cassandra Szoeke
- Centre for Medical Research, Royal Melbourne Hospital, Faculty of Medicine Dentistry and Health Sciences, University of Melbourne, Parkville, Victoria, Australia; Healthy Brain Initiative, Faculty of Health Sciences, Australian Catholic University, Melbourne, Victoria, Australia; Australian Healthy Ageing Organisation (AHAO), Parkville, Victoria, Australia.
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Lleó A, Parnetti L, Belbin O, Wiltfang J. Has the time arrived for cerebrospinal fluid biomarkers in psychiatric disorders? Clin Chim Acta 2019; 491:81-84. [PMID: 30682327 DOI: 10.1016/j.cca.2019.01.019] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2018] [Revised: 01/16/2019] [Accepted: 01/18/2019] [Indexed: 01/13/2023]
Abstract
Psychiatric disorders are currently classified, in the majority of cases, by clinical syndromes. However, advances over the last decade in imaging and biochemical biomarkers in several Central Nervous System (CNS) disorders anticipate the incorporation of some of these markers in the diagnostic work-up of psychiatric conditions. In particular, CSF biomarkers offer the possibility of detecting a wide range of pathophysiological processes in the CNS. Newer CSF markers can measure axonal and synaptic damage, glial activation, and oxidative stress in CNS disorders with high precision. The possibility that these markers can be applied in the differential diagnosis of common psychiatric disorders such as Schizophrenia, Major Depressive or Bipolar Disorders not only to rule out neurodegenerative diseases but also to identify specific biomarker signatures has yet to be explored. In particular, synaptic proteins in CSF could be useful as markers of synaptic and neurotransmitter transmission impairment since these are key molecular features of psychiatric conditions. In this paper we outline the current and potential applications of CSF biomarkers in psychiatric disorders.
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Affiliation(s)
- Alberto Lleó
- Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona, Spain; Centre of Biomedical Investigation Network for Neurodegenerative Diseases (CIBERNED), Madrid, Spain.
| | - Lucilla Parnetti
- Centre for Memory Disturbances, Section of Neurology, Lab of Clinical Neurochemistry, University of Perugia, Perugia, Italy
| | - Olivia Belbin
- Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona, Spain; Centre of Biomedical Investigation Network for Neurodegenerative Diseases (CIBERNED), Madrid, Spain
| | - Jens Wiltfang
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen (UMG), Goettingen, Germany; German Center for Neurodegenerative Diseases (DZNE), Goettingen, Germany
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Cognitive Functioning in Late-life Depression: A Critical Review of Sociodemographic, Neurobiological, and Treatment Correlates. Curr Behav Neurosci Rep 2018. [DOI: 10.1007/s40473-018-0159-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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40
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Gonzales MM, Insel PS, Nelson C, Tosun D, Schöll M, Mattsson N, Sacuiu S, Bickford D, Weiner MW, Mackin RS. Chronic depressive symptomatology and CSF amyloid beta and tau levels in mild cognitive impairment. Int J Geriatr Psychiatry 2018; 33:1305-1311. [PMID: 29953668 DOI: 10.1002/gps.4926] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2017] [Accepted: 05/04/2018] [Indexed: 11/10/2022]
Abstract
OBJECTIVES To investigate the association between chronic subsyndromal symptoms of depression (SSD), cerebrospinal fluid (CSF) biomarkers, and neuropsychological performance in individuals with mild cognitive impairment (MCI). METHODS Participants included 238 older adults diagnosed with MCI from the Alzheimer's Disease Neuroimaging Initiative repository with cognitive and CSF amyloid beta (Aβ1-42 ), total tau (t-tau), and phosphorylated tau (p-tau) data. The Neuropsychiatric Inventory identified individuals with chronic endorsement (SSD group N = 80) or no endorsement (non-SSD group N = 158) of depressive symptoms across timepoints. CSF biomarker and cognitive performance were evaluated with linear regression models adjusting for age, education, gender, APOE genotype, global cognitive status, and SSD group. RESULTS As compared to the non-SSD group, the SSD group displayed lower CSF Aβ1-42 levels (β = -24.293, S.E. = 6.345, P < 0.001). No group differences were observed for CSF t-tau (P = 0.497) or p-tau levels (P = 0.392). Lower CSF Aβ1-42 levels were associated with poorer performance on learning (β = 0.041, S.E. = 0.018, P = 0.021) and memory (β = -0.012, S.E. = 0.005, P = 0.031) measures, whereas higher CSF t-tau levels were associated with poorer performance on measures of global cognition (β = 0.022, S.E = 0.008, P = 0.007) and language (β = -0.010, S.E = 0.004, P = 0.019). SSD was independently associated with diminished global cognition, learning and memory, language, and executive function performance over and above the effects of CSF biomarkers (all P < 0.05). CONCLUSIONS MCI participants with SSD displayed diminished CSF Aβ1-42 levels but did not differ from non-SSD controls in CSF tau levels. Additionally, CSF biomarkers and SSD independently accounted for variance in cognitive performance, suggesting that these factors may uniquely confer cognitive risk in MCI.
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Affiliation(s)
- Mitzi M Gonzales
- Department of Neurology, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Philip S Insel
- Center for Imaging of Neurodegenerative Diseases, Veterans Administration Medical Center, San Francisco, CA, USA
| | - Craig Nelson
- Department of Psychiatry, University of California, San Francisco, CA, USA
| | - Duygu Tosun
- Center for Imaging of Neurodegenerative Diseases, Veterans Administration Medical Center, San Francisco, CA, USA.,Department of Radiology, University of California, San Francisco, CA, USA
| | - Michael Schöll
- Wallenberg Centre for Molecular and Translational Medicine and the Department of Psychiatry and Neurochemistry, University of Gothenburg, Gothenburg, Sweden.,Clinical Memory Research Unit, Faculty of Medicine, Lund University, Lund, Sweden
| | - Niklas Mattsson
- Clinical Memory Research Unit, Faculty of Medicine, Lund University, Lund, Sweden.,Department of Neurology, Skane University Hospital, Lund, Sweden
| | - Simona Sacuiu
- Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Sweden
| | - David Bickford
- Department of Psychiatry, University of California, San Francisco, CA, USA
| | - Michael W Weiner
- Center for Imaging of Neurodegenerative Diseases, Veterans Administration Medical Center, San Francisco, CA, USA.,Department of Psychiatry, University of California, San Francisco, CA, USA.,Department of Radiology, University of California, San Francisco, CA, USA.,Department of Medicine, University of California, San Francisco, CA, USA
| | - R Scott Mackin
- Center for Imaging of Neurodegenerative Diseases, Veterans Administration Medical Center, San Francisco, CA, USA.,Department of Psychiatry, University of California, San Francisco, CA, USA
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Conejero I, Navucet S, Keller J, Olié E, Courtet P, Gabelle A. A Complex Relationship Between Suicide, Dementia, and Amyloid: A Narrative Review. Front Neurosci 2018; 12:371. [PMID: 29910709 PMCID: PMC5992441 DOI: 10.3389/fnins.2018.00371] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2018] [Accepted: 05/14/2018] [Indexed: 12/26/2022] Open
Abstract
Background: Suicide rates are high among older adults and many conditions have been related to suicide in this population: chronic illnesses, physical disabilities, cancer, social isolation, mental disorders and neurocognitive disorders. Objectives: Among neurocognitive disorders, analysis of the relationships between dementia and suicidal behaviors led to conflicting results and some questions are still without answer. Particularly, it is not known whether (i) Alzheimer's disease (AD) increases the risk of suicidal ideation and suicide attempts (SA) or the frequency of death by suicide; (ii) the presence of suicidal ideation or SA in people older than 65 years of age is an early dementia sign; and (iii) amyloid load in frontal areas facilitates SA by modifying the decision-making pathway. Methods: Therefore, in this narrative review, we searched the PubMed database using the medical subject heading (MeSH) terms (“Suicide” AND “Depression”) OR (“Amyloid” OR “Dementia”) to identify recent (from 2000 to 2017) original studies on the links between suicidal behavior, dementia and brain amyloid load. We also explored the clinical and pathophysiological role of depression in these relationships. Results and Discussion: The findings from these studies suggest that late stage dementia could protect against suicidal ideation and SA. Conversely, the risk of complete suicide is increased during the early phase of cognitive decline. Conclusions: Serious cognitive impairment and decline of executive functions could protect against negative thoughts related to cognitive disability awareness and against suicide planning.Several factors, including brain amyloid load, could be involved in the increased suicide rate early after the diagnosis of dementia.
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Affiliation(s)
- Ismael Conejero
- Department of Psychiatry, Caremeau Hospital, University Hospital of Nîmes, Nîmes, France.,Inserm U1061, Neuropsychiatry: Epidemiological and Clinical Research, La Colombière Hospital, University of Montpellier, Montpellier, France.,Centre de Biochimie Structurale, University of Montpellier, Montpellier, France
| | - Sophie Navucet
- Department of Montpellier, Memory Resources Research Center, Gui De Chauliac Hospital, University of Montpellier, Montpellier, France
| | - Jacques Keller
- Department of Montpellier, Memory Resources Research Center, Gui De Chauliac Hospital, University of Montpellier, Montpellier, France
| | - Emilie Olié
- Inserm U1061, Neuropsychiatry: Epidemiological and Clinical Research, La Colombière Hospital, University of Montpellier, Montpellier, France.,Department of Psychiatric Emergency and Post-Acute Care, Lapeyronie Hospital, University of Montpellier, Montpellier, France
| | - Philippe Courtet
- Inserm U1061, Neuropsychiatry: Epidemiological and Clinical Research, La Colombière Hospital, University of Montpellier, Montpellier, France.,Department of Psychiatric Emergency and Post-Acute Care, Lapeyronie Hospital, University of Montpellier, Montpellier, France
| | - Audrey Gabelle
- Inserm U1061, Neuropsychiatry: Epidemiological and Clinical Research, La Colombière Hospital, University of Montpellier, Montpellier, France.,Department of Montpellier, Memory Resources Research Center, Gui De Chauliac Hospital, University of Montpellier, Montpellier, France
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Kotagal V, Spino C, Bohnen NI, Koeppe RA, Albin RL. Serotonin, β-amyloid, and cognition in Parkinson disease. Ann Neurol 2018; 83:994-1002. [PMID: 29665066 PMCID: PMC6021203 DOI: 10.1002/ana.25236] [Citation(s) in RCA: 42] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2017] [Revised: 03/15/2018] [Accepted: 04/07/2018] [Indexed: 12/11/2022]
Abstract
OBJECTIVE Serotoninergic neurotransmission may modulate β-amyloid peptide (Aβ) metabolism through upregulation of α-secretase. Early Parkinson disease (PD) shows variable serotoninergic denervation, which may impact Aβ deposition. METHODS We conducted 3 analyses to explore associations between serotoninergic neurotransmission and cerebral Aβ burden in PD. The first was a cross-sectional imaging study of PD subjects (n = 23) using the serotoninergic transporter positron emission tomography (PET) ligand [11 C]3-amino-4-(2-dimethylaminomethyl-phenylsulfaryl)-benzonitrile (DASB) and amyloid PET Pittsburgh compound B ([11 C]PiB). The second was a baseline study of Parkinson's Progression Markers Initiative (PPMI) subjects exploring the influence of serotoninergic medications on cerebrospinal fluid (CSF) Aβ-42 levels (n = 389), controlling for age, sex, Geriatric Depression Scale, disease duration, and education. Third, we fit an interval censored proportional hazard model with longitudinal PPMI data (n = 367) to test whether serotoninergic medication use associates with reduced risk of PD cognitive decline, defined as time to reach a Montreal Cognitive Assessment score ≤ 20, adjusting for baseline caudate dopamine transporter [123 I]ioflupane single photon emission computed tomography and CSF Aβ-42 levels. RESULTS Serotoninergic DASB distribution volume ratio (DVR) inversely associated with PiB DVR in the cerebral cortex (Pearson r = -0.478, p = 0.021) but not the striatum (r = -0.264, p = 0.224). In the baseline PPMI analysis, serotoninergic medication use for ≥6 months associated with a lower level of CSF Aβ-42 (t = -2.20, p = 0.029). In the longitudinal PPMI model, baseline serotoninergic medication use associated with a reduced risk of cognitive decline (t = -2.03, p = 0.043) after controlling for covariates. INTERPRETATION Cortical Aβ burden in PD associates inversely with serotoninergic innervation. Serotoninergic medications may alter Aβ metabolism and reduce the risk of PD cognitive decline. Ann Neurol 2018;83:994-1002.
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Affiliation(s)
- Vikas Kotagal
- Department of Neurology, University of Michigan, Ann Arbor, MI
- Veterans Affairs Ann Arbor Health System (VAAAHS), Ann Arbor, Michigan
| | - Cathie Spino
- University of Michigan Morris K. Udall Center of Excellence for Parkinson’s Disease Research, Ann Arbor, MI
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI
| | - Nicolaas I Bohnen
- Department of Neurology, University of Michigan, Ann Arbor, MI
- Veterans Affairs Ann Arbor Health System (VAAAHS), Ann Arbor, Michigan
- University of Michigan Morris K. Udall Center of Excellence for Parkinson’s Disease Research, Ann Arbor, MI
- Department of Radiology, Division of Nuclear Medicine, University of Michigan, Ann Arbor, MI
| | - Robert A. Koeppe
- Department of Radiology, Division of Nuclear Medicine, University of Michigan, Ann Arbor, MI
| | - Roger L Albin
- Department of Neurology, University of Michigan, Ann Arbor, MI
- Veterans Affairs Ann Arbor Health System (VAAAHS), Ann Arbor, Michigan
- University of Michigan Morris K. Udall Center of Excellence for Parkinson’s Disease Research, Ann Arbor, MI
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43
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Yamazaki C, Tamaoki T, Nunomura A, Tamai K, Yasuda K, Motohashi N. Plasma Amyloid-β and Alzheimer's Disease-Related Changes in Late-Life Depression. J Alzheimers Dis 2018; 58:349-354. [PMID: 28453490 DOI: 10.3233/jad-170111] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
To elucidate an involvement of amyloid dysmetabolism in the pathophysiology of depression, we investigated associations of plasma amyloid-β (Aβ) levels with Alzheimer's disease-related changes in neuroimaging and cognitive dysfunction in patients with late-life depression. Higher plasma Aβ40, but not Aβ42 nor Aβ40/Aβ42 ratio, was associated with higher degree of parahippocampal atrophy and lower verbal fluency performance. Indeed, high plasma Aβ40 predicted poor cognitive prognosis of depressed patients with mild cognitive impairment. As an anti-depressive treatment, electroconvulsive therapy (ECT) resulted in a marginally significant reduction of plasma Aβ40 compared to pharmacotherapy alone, suggesting protective effects of ECT against amyloid dysmetabolism.
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44
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Brown EE, Iwata Y, Chung JK, Gerretsen P, Graff-Guerrero A. Tau in Late-Life Depression: A Systematic Review and Meta-Analysis. J Alzheimers Dis 2018; 54:615-33. [PMID: 27497481 DOI: 10.3233/jad-160401] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
A lifetime history of major depressive disorder (MDD) increases the risk of developing Alzheimer's disease, of which neurofibrillary tangles due to abnormal tau proteins are a hallmark. We systematically reviewed the literature on tau in MDD and identified 49 relevant articles spanning a number of modalities, including cerebrospinal fluid (CSF) analysis, positron emission tomography, and clinicopathological correlation. We compared CSF total and phosphorylated tau proteins in MDD and controls using a meta-analytic approach. We found no difference in total or phosphorylated tau in MDD. We also found no difference in a comparison of a subgroup excluding studies with significant age differences. Positron emission tomography studies lacked specificity. Clinicopathological studies failed to associate neurofibrillary tangles with MDD. The available data on tau in MDD is limited. The involvement of tau in a subset of MDD cannot be ruled out and requires prospective exploration.
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Affiliation(s)
- Eric E Brown
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada.,Multimodal Imaging Group-Research Imaging Centre, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Yusuke Iwata
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada.,Multimodal Imaging Group-Research Imaging Centre, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Jun Ku Chung
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada.,Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, ON, Canada.,Multimodal Imaging Group-Research Imaging Centre, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Philip Gerretsen
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada.,Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, ON, Canada.,Multimodal Imaging Group-Research Imaging Centre, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Geriatric Mental Health Division, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Ariel Graff-Guerrero
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada.,Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, ON, Canada.,Multimodal Imaging Group-Research Imaging Centre, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Geriatric Mental Health Division, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
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45
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State-dependent alterations in cerebrospinal fluid Aβ42 levels in cognitively intact elderly with late-life major depression. Neuroreport 2018; 27:1068-71. [PMID: 27508979 DOI: 10.1097/wnr.0000000000000658] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
Depression has been linked to Alzheimer's disease as either an increased risk factor for its development or as a prodromal symptom. The neurobiological basis for such an association, however, remains poorly understood. Numerous studies have examined whether changes in amyloid beta (Aβ) metabolism, which are implicated in the pathogenesis of Alzheimer's disease, are also found in depression. In this paper, we investigated the relationship between depressive symptoms and cerebrospinal fluid (CSF) Aβ indices in otherwise healthy, cognitively normal elderly with late-life major depression (LLMD) and controls using a longitudinal approach, which is a novel contribution toward the literature. Significantly lower levels of CSF Aβ42 were observed in the LLMD group at baseline and were associated with more severe depressive symptoms. During longitudinal follow-up, the depressed group remained cognitively unchanged, but was significantly less depressed than at baseline. A greater improvement in depressive symptoms was associated with increases in CSF Aβ42 levels in both groups. Increases in CSF Aβ42 and Aβ40 were also associated with increased CSF total-tau levels. Our results suggest that LLMD may be associated with state-dependent effects of CSF Aβ42 levels. Future studies should determine whether the association reflects state-dependent changes in neuronal activity and/or brain amyloid burden in depression.
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46
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Hashimoto K, Ishima T, Sato Y, Bruno D, Nierenberg J, Marmar CR, Zetterberg H, Blennow K, Pomara N. Increased levels of ascorbic acid in the cerebrospinal fluid of cognitively intact elderly patients with major depression: a preliminary study. Sci Rep 2017; 7:3485. [PMID: 28615661 PMCID: PMC5471282 DOI: 10.1038/s41598-017-03836-0] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2017] [Accepted: 05/05/2017] [Indexed: 12/14/2022] Open
Abstract
Major depressive disorder (MDD) in the elderly is a risk factor for dementia, but the precise biological basis remains unknown, hampering the search for novel biomarkers and treatments. In this study, we performed metabolomics analysis of cerebrospinal fluid (CSF) from cognitively intact elderly patients (N = 28) with MDD and age- and gender-matched healthy controls (N = 18). The CSF levels of 177 substances were measured, while 288 substances were below the detection limit. Only ascorbic acid was significantly different, with higher levels in the MDD group at baseline. There were no correlations between CSF ascorbic acid levels and clinical variables in MDD patients at baseline. At the 3-year follow-up, there was no difference of CSF ascorbic acid levels between the two groups. There was a negative correlation between CSF ascorbic acid and CSF amyloid-β42 levels in all subjects. However, there were no correlations between ascorbic acid and other biomarkers (e.g., amyloid-β40, total and phosphorylated tau protein). This preliminary study suggests that abnormalities in the transport and/or release of ascorbic acid might play a role in the pathogenesis of late-life depression.
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Affiliation(s)
- Kenji Hashimoto
- Division of Clinical Neuroscience, Chiba University Center for Forensic Mental Health, Chiba, Japan.
| | - Tamaki Ishima
- Division of Clinical Neuroscience, Chiba University Center for Forensic Mental Health, Chiba, Japan
| | - Yasunori Sato
- Department of Global Clinical Research, Chiba University Graduate School of Medicine, Chiba, Japan
| | - Davide Bruno
- School of Natural Sciences and Psychology, Liverpool John Moores University, Liverpool, UK
| | - Jay Nierenberg
- Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, USA.,Department of Psychiatry, New York University Langone Medical Center, New York, USA
| | - Charles R Marmar
- Department of Psychiatry, New York University Langone Medical Center, New York, USA
| | - Henrik Zetterberg
- Clinical Neurochemistry Laboratory, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at University of Gothenburg, Mölndal, Sweden.,Department of Molecular Neuroscience, UCL Institute of Neurology, London, UK
| | - Kaj Blennow
- Clinical Neurochemistry Laboratory, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at University of Gothenburg, Mölndal, Sweden
| | - Nunzio Pomara
- Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, USA.,Department of Psychiatry, New York University Langone Medical Center, New York, USA
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Harrington KD, Gould E, Lim YY, Ames D, Pietrzak RH, Rembach A, Rainey-Smith S, Martins RN, Salvado O, Villemagne VL, Rowe CC, Masters CL, Maruff P. Amyloid burden and incident depressive symptoms in cognitively normal older adults. Int J Geriatr Psychiatry 2017; 32:455-463. [PMID: 27114112 DOI: 10.1002/gps.4489] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2015] [Revised: 01/18/2016] [Accepted: 03/15/2016] [Indexed: 12/23/2022]
Abstract
OBJECTIVE Several studies have reported that non-demented older adults with clinical depression show changes in amyloid-β (Aβ) levels in blood, cerebrospinal fluid and on neuroimaging that are consistent with those observed in patients with Alzheimer's disease. These findings suggest that Aβ may be one of the mechanisms underlying the relation between the two conditions. We sought to determine the relation between elevated cerebral Aβ and the presence of depression across a 54-month prospective observation period. METHODS Cognitively normal older adults from the Australian Imaging Biomarkers and Lifestyle study who were not depressed and had undergone a positron emission tomography scan to classify them as either high Aβ (n = 81) or low Aβ (n = 278) participated. Depressive symptoms were assessed using the Geriatric Depression Scale - Short Form at 18-month intervals over 54 months. RESULTS Whilst there was no difference in probable depression between groups at baseline, incidence was 4.5 (95% confidence interval [CI] 1.3-16.4) times greater within the high Aβ group (9%) than the low Aβ group (2%) by the 54-month assessment. CONCLUSIONS Results of this study suggest that elevated Aβ levels are associated with a 4.5-fold increased likelihood of developing clinically significant depressive symptoms on follow-up in preclinical Alzheimer's disease. This underscores the importance of assessing, monitoring and treating depressive symptoms in older adults with elevated Aβ. Copyright © 2016 John Wiley & Sons, Ltd.
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Affiliation(s)
- Karra D Harrington
- School of Psychology, Deakin University, Geelong, Victoria, Australia.,Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, Victoria, Australia.,Academic Unit for Psychiatry of Old Age, Department of Psychiatry, The University of Melbourne, Parkville, Victoria, Australia
| | - Emma Gould
- School of Psychology, Deakin University, Geelong, Victoria, Australia
| | - Yen Ying Lim
- Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - David Ames
- Academic Unit for Psychiatry of Old Age, Department of Psychiatry, The University of Melbourne, Parkville, Victoria, Australia.,National Ageing Research Institute, Parkville, Victoria, Australia
| | - Robert H Pietrzak
- United States Department of Veterans Affairs, National Center for Posttraumatic Stress Disorder, Clinical Neurosciences Division, VA Connecticut Healthcare System, West Haven, CT, USA.,Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Alan Rembach
- Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Stephanie Rainey-Smith
- Centre of Excellence for Alzheimer's Disease Research and Care, School of Exercise, Biomedical and Health Sciences, Edith Cowan University, Perth, WA, Australia.,Sir James McCusker Alzheimer's Disease Research Unit, Hollywood Private Hospital, Nedlands, Western Australia, Australia
| | - Ralph N Martins
- Centre of Excellence for Alzheimer's Disease Research and Care, School of Exercise, Biomedical and Health Sciences, Edith Cowan University, Perth, WA, Australia.,Sir James McCusker Alzheimer's Disease Research Unit, Hollywood Private Hospital, Nedlands, Western Australia, Australia
| | - Olivier Salvado
- CSIRO Preventative Health National Research Flagship, The Australian e-Health Research Centre-BioMedIA, Herston, Queensland, Australia
| | - Victor L Villemagne
- Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, Victoria, Australia.,Department of Nuclear Medicine, Centre for PET, Austin Health, Heidelberg, VIC, Australia.,Department of Medicine, Austin Health, The University of Melbourne, Heidelberg, Victoria, Australia
| | - Christopher C Rowe
- Department of Nuclear Medicine, Centre for PET, Austin Health, Heidelberg, VIC, Australia.,Department of Medicine, Austin Health, The University of Melbourne, Heidelberg, Victoria, Australia
| | - Colin L Masters
- Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Paul Maruff
- Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, Victoria, Australia.,CogState Ltd., Melbourne, Victoria, Australia
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Vijverberg EGB, Dols A, Krudop WA, Del Campo Milan M, Kerssens CJ, Gossink F, Prins ND, Stek ML, Scheltens P, Teunissen CE, Pijnenburg YAL. Cerebrospinal fluid biomarker examination as a tool to discriminate behavioral variant frontotemporal dementia from primary psychiatric disorders. ALZHEIMER'S & DEMENTIA: DIAGNOSIS, ASSESSMENT & DISEASE MONITORING 2017; 7:99-106. [PMID: 28337476 PMCID: PMC5352718 DOI: 10.1016/j.dadm.2017.01.009] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
INTRODUCTION To prospectively determine the diagnostic value of cerebrospinal fluid (CSF) levels total-tau (tau) to amyloid-β1-42 ratio (Aβ1-42) ratio (tau/Aβ1-42 ratio), phosphorylated-tau (p-tau) to tau ratio (p-tau/tau ratio), neurofilament light chain (NfL) and YKL40 in the late-onset frontal lobe syndrome, in particular for the differential diagnosis of behavioral variant frontotemporal dementia (bvFTD) versus primary psychiatric disorders (PSY). METHOD We included patients with a multidisciplinary 2-year-follow-up diagnosis of probable/definite bvFTD (n = 22) or PSY (n = 25), who underwent a detailed neuropsychiatric clinical examination, neuropsychological test battery, and magnetic resonance imaging at baseline. In all cases, CSF was collected through lumbar puncture at baseline. We compared CSF biomarker levels between the two groups and measured the diagnostic accuracy for probable/definite bvFTD, using the follow-up diagnosis as the reference standard. RESULTS The best discriminators between probable/definite bvFTD and PSY were the levels of CSF NfL (area under the curve [AUC] 0.93, P < .001, 95% confidence interval [CI] 0.85-1.00), p-tau/tau ratio (AUC 0.87, P < .001, 95% CI 0.77-0.97), and YKL40 (AUC 0.82, P = .001, 95% CI 0.68-0.97). The combination of these three biomarkers had a sensitivity of 91% (95% CI 66%-100%) at a specificity of 83% (95% CI 65%-95%) with an AUC of 0.94 (P < .001, 95% CI 0.87-1.00) for bvFTD. CSF tau/Aβ1-42 ratio was less accurate in differentiating between bvFTD and PSY. DISCUSSION We found a good diagnostic accuracy for higher levels of CSF NfL and YKL40 and reduced p-tau/tau ratio in distinguishing bvFTD from PSY. We advocate the use of these CSF biomarkers as potential additional tools to neuroimaging in the diagnosis of bvFTD versus PSY.
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Affiliation(s)
- Everard G B Vijverberg
- Alzheimer Centre and Department of Neurology, Neuroscience Campus Amsterdam, VU University Medical Centre, Amsterdam, The Netherlands; Department of Neurology, HagaZiekenhuis, The Hague, The Netherlands
| | - Annemiek Dols
- Department of Old Age Psychiatry, GGZ InGeest, Amsterdam, The Netherlands
| | - Welmoed A Krudop
- Alzheimer Centre and Department of Neurology, Neuroscience Campus Amsterdam, VU University Medical Centre, Amsterdam, The Netherlands
| | - Marta Del Campo Milan
- Department of Clinical Chemistry, VU University Medical Center, Amsterdam, The Netherlands
| | - Cora J Kerssens
- Department of Old Age Psychiatry, GGZ InGeest, Amsterdam, The Netherlands
| | - Flora Gossink
- Department of Old Age Psychiatry, GGZ InGeest, Amsterdam, The Netherlands
| | - Niels D Prins
- Alzheimer Centre and Department of Neurology, Neuroscience Campus Amsterdam, VU University Medical Centre, Amsterdam, The Netherlands
| | - Max L Stek
- Department of Old Age Psychiatry, GGZ InGeest, Amsterdam, The Netherlands
| | - Philip Scheltens
- Alzheimer Centre and Department of Neurology, Neuroscience Campus Amsterdam, VU University Medical Centre, Amsterdam, The Netherlands
| | - Charlotte E Teunissen
- Department of Clinical Chemistry, VU University Medical Center, Amsterdam, The Netherlands
| | - Yolande A L Pijnenburg
- Alzheimer Centre and Department of Neurology, Neuroscience Campus Amsterdam, VU University Medical Centre, Amsterdam, The Netherlands
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Electroconvulsive therapy selectively enhances amyloid β 1-42 in the cerebrospinal fluid of patients with major depression: A prospective pilot study. Eur Neuropsychopharmacol 2016; 26:1877-1884. [PMID: 27876183 DOI: 10.1016/j.euroneuro.2016.11.004] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2016] [Revised: 08/31/2016] [Accepted: 11/08/2016] [Indexed: 12/13/2022]
Abstract
A complex interplay between β-amyloid (Aβ), Alzheimer׳s disease (AD) and major depression disorder (MDD) suggests that patients with MDD have an altered cerebral Aβ metabolism and an increased risk of developing AD. In order to elucidate the relationship between antidepressant treatment and Aβ metabolism in humans, we performed a study on Aβ peptides in the cerebrospinal fluid (CSF) in patients with MDD during electroconvulsive therapy (ECT) as an effective antidepressant treatment. We measured the levels of Aβ1-42, Aβ1-40 and of tau proteins in the CSF in 12 patients with MDD before and after a course of ECT. Aβ1-42 was significantly elevated after the ECT treatment compared to baseline, whereas no difference was found for other peptides and proteins such as Aβ1-40, Aβ ratio, total tau protein or its phosphorylated form. The most salient finding was, that the increase of Aβ1-42 after ECT was found in all patients with clinical response to the treatment, but not in those who did not respond. The number of ECT sessions of each responding patient correlated with the increase of Aβ1-42 in the CSF. Our data point towards to a specific antidepressant mechanism which is not based on a general increase of Aβ, but seems to involve merely Aβ1-42, the isoform with highest amyloidogenic potential. We present the first study in humans demonstrating an isolated mobilization of Aβ1-42 in the CSF of patients with depression who respond to an ECT treatment.
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50
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Kim HG, Kong EJ, Cheon EJ, Kim HW, Koo BH. Association between Cerebral Amyloid Deposition and Clinical Factors Including Cognitive Function in Geriatric Depression: Pilot Study Using Amyloid Positron Emission Tomography. CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE : THE OFFICIAL SCIENTIFIC JOURNAL OF THE KOREAN COLLEGE OF NEUROPSYCHOPHARMACOLOGY 2016; 14:378-382. [PMID: 27776391 PMCID: PMC5083935 DOI: 10.9758/cpn.2016.14.4.378] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 06/10/2016] [Revised: 06/23/2016] [Accepted: 06/24/2016] [Indexed: 01/27/2023]
Abstract
The purpose of this study was to explore the relationship between cerebral amyloid deposition and overall clinical factors including cognitive functions in geriatric depression by using ¹⁸F-florbetaben positron emission tomography. Thirteen subjects aged over 60 years who had a history of major depressive disorder and also had subjective memory complaint were included. Of all subjects, 3 subjects judged as amyloid positive, and the others judged as amyloid negative. Their memory, visuospatial functions and attention abilities were negatively correlated with amyloid deposition in specific brain regions, but their language and recognition abilities were not correlated with any region. The amyloid deposition of the whole brain region was significantly negatively correlated with immediate memory.
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Affiliation(s)
- Hye-Geum Kim
- Department of Psychiatry, Yeungnam University Medical Center, Yeungnam University College of Medicine, Daegu,
Korea
| | - Eun-Jung Kong
- Department of Nuclear Medicine, Yeungnam University Medical Center, Yeungnam University College of Medicine, Daegu,
Korea
| | - Eun-Jin Cheon
- Department of Psychiatry, Yeungnam University Medical Center, Yeungnam University College of Medicine, Daegu,
Korea
| | - Hae-Won Kim
- Department of Nuclear Medicine, Dongsan Medical Center, Keimyung University School of Medicine, Daegu,
Korea
| | - Bon-Hoon Koo
- Department of Psychiatry, Yeungnam University Medical Center, Yeungnam University College of Medicine, Daegu,
Korea
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