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Frileux S, Boltri M, Doré J, Leboyer M, Roux P. Cognition and gut microbiota in schizophrenia spectrum and mood disorders: A systematic review. Neurosci Biobehav Rev 2024; 162:105722. [PMID: 38754717 DOI: 10.1016/j.neubiorev.2024.105722] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Revised: 04/11/2024] [Accepted: 05/10/2024] [Indexed: 05/18/2024]
Abstract
FRILEUX, M., BOLTRI M. and al. Cognition and Gut microbiota in schizophrenia spectrum and mood disorders: a Systematic Review. NEUROSCI BIOBEHAV REV (1) 2024 Schizophrenia spectrum disorders and major mood disorders are associated with cognitive impairments. Recent studies suggest a link between gut microbiota composition and cognitive functioning. Here, we review the relationship between gut microbiota and cognition in these disorders. To do this, we conducted a systematic review, searching Cochrane Central Register of Controlled Trials, EBSCOhost, Embase, Pubmed, Scopus, and Web of Science. Studies were included if they investigated the relationship between gut microbiota composition and cognitive function through neuropsychological assessments in patients with bipolar, depressive, schizophrenia spectrum, and other psychotic disorders. Ten studies were identified. Findings underscore a link between gut dysbiosis and cognitive impairment. This relationship identified specific taxa (Haemophilus, Bacteroides, and Alistipes) as potential contributors to bolstered cognitive performance. Conversely, Candida albicans, Toxoplasma gondii, Streptococcus and Deinococcus were associated with diminished performance on cognitive assessments. Prebiotics and probiotics interventions were associated with cognitive enhancements, particularly executive functions. These results emphasize the role of gut microbiota in cognition, prompting further exploration of the underlying mechanisms paving the way toward precision psychiatry.
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Affiliation(s)
- S Frileux
- Service Hospitalo-Universitaire de Psychiatrie d'Adultes et d'Addictologie, Centre Hospitalier de Versailles, 177, rue de Versailles, Le Chesnay-Rocquencourt 78157, France; Université Paris-Saclay, Université Versailles Saint-Quentin-En-Yvelines, DisAP-DevPsy-CESP, INSERM UMR1018, Villejuif 94807, France.
| | - M Boltri
- Department of Psychology, Catholic University of Sacred Heart, Milan, Italy; I.R.C.C.S. Istituto Auxologico Italiano, Experimental Laboratory for Metabolic Neurosciences Research, Piancavallo, Italy
| | - J Doré
- Université Paris-Saclay, INRA, MetaGenoPolis, AgroParisTech, MICALIS, Jouy-en-Josas 78350, France
| | - M Leboyer
- Inserm U955 IMRB, Translational Neuropsychiatry Laboratory, AP-HP, DMU IMPACT, Fédération Hospitalo-Universitaire de médecine de précision en psychiatrie (FHU ADAPT), Paris Est Créteil University and Fondation FondaMental, Créteil 94010, France; Fondation Fondamental, Créteil 94010, France
| | - P Roux
- Service Hospitalo-Universitaire de Psychiatrie d'Adultes et d'Addictologie, Centre Hospitalier de Versailles, 177, rue de Versailles, Le Chesnay-Rocquencourt 78157, France; Université Paris-Saclay, Université Versailles Saint-Quentin-En-Yvelines, DisAP-DevPsy-CESP, INSERM UMR1018, Villejuif 94807, France
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2
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Xue C, Kowshik SS, Lteif D, Puducheri S, Jasodanand VH, Zhou OT, Walia AS, Guney OB, Zhang JD, Pham ST, Kaliaev A, Andreu-Arasa VC, Dwyer BC, Farris CW, Hao H, Kedar S, Mian AZ, Murman DL, O’Shea SA, Paul AB, Rohatgi S, Saint-Hilaire MH, Sartor EA, Setty BN, Small JE, Swaminathan A, Taraschenko O, Yuan J, Zhou Y, Zhu S, Karjadi C, Ang TFA, Bargal SA, Plummer BA, Poston KL, Ahangaran M, Au R, Kolachalama VB. AI-based differential diagnosis of dementia etiologies on multimodal data. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.02.08.24302531. [PMID: 38585870 PMCID: PMC10996713 DOI: 10.1101/2024.02.08.24302531] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/09/2024]
Abstract
Differential diagnosis of dementia remains a challenge in neurology due to symptom overlap across etiologies, yet it is crucial for formulating early, personalized management strategies. Here, we present an AI model that harnesses a broad array of data, including demographics, individual and family medical history, medication use, neuropsychological assessments, functional evaluations, and multimodal neuroimaging, to identify the etiologies contributing to dementia in individuals. The study, drawing on 51,269 participants across 9 independent, geographically diverse datasets, facilitated the identification of 10 distinct dementia etiologies. It aligns diagnoses with similar management strategies, ensuring robust predictions even with incomplete data. Our model achieved a micro-averaged area under the receiver operating characteristic curve (AUROC) of 0.94 in classifying individuals with normal cognition, mild cognitive impairment and dementia. Also, the micro-averaged AUROC was 0.96 in differentiating the dementia etiologies. Our model demonstrated proficiency in addressing mixed dementia cases, with a mean AUROC of 0.78 for two co-occurring pathologies. In a randomly selected subset of 100 cases, the AUROC of neurologist assessments augmented by our AI model exceeded neurologist-only evaluations by 26.25%. Furthermore, our model predictions aligned with biomarker evidence and its associations with different proteinopathies were substantiated through postmortem findings. Our framework has the potential to be integrated as a screening tool for dementia in various clinical settings and drug trials, with promising implications for person-level management.
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Affiliation(s)
- Chonghua Xue
- Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Electrical & Computer Engineering, Boston University, MA, USA
| | - Sahana S. Kowshik
- Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Faculty of Computing & Data Sciences, Boston University, MA, USA
| | - Diala Lteif
- Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Computer Science, Boston University, MA, USA
| | - Shreyas Puducheri
- Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Varuna H. Jasodanand
- Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Olivia T. Zhou
- Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Anika S. Walia
- Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Osman B. Guney
- Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Electrical & Computer Engineering, Boston University, MA, USA
| | - J. Diana Zhang
- Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- School of Chemistry, University of New South Wales, Sydney, Australia
| | - Serena T. Pham
- Department of Radiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Artem Kaliaev
- Department of Radiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - V. Carlota Andreu-Arasa
- Department of Radiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Brigid C. Dwyer
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Chad W. Farris
- Department of Radiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Honglin Hao
- Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Sachin Kedar
- Departments of Neurology & Ophthalmology, Emory University School of Medicine, Atlanta, GA, USA
| | - Asim Z. Mian
- Department of Radiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Daniel L. Murman
- Department of Neurological Sciences, University of Nebraska Medical Center, Omaha, NE, USA
| | - Sarah A. O’Shea
- Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
| | - Aaron B. Paul
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Saurabh Rohatgi
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | | | - Emmett A. Sartor
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Bindu N. Setty
- Department of Radiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Juan E. Small
- Department of Radiology, Lahey Hospital & Medical Center, Burlington, MA, USA
| | | | - Olga Taraschenko
- Department of Neurological Sciences, University of Nebraska Medical Center, Omaha, NE, USA
| | - Jing Yuan
- Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Yan Zhou
- Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Shuhan Zhu
- Department of Neurology, Brigham & Women’s Hospital, Boston, MA, USA
| | - Cody Karjadi
- The Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Ting Fang Alvin Ang
- The Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Anatomy and Neurobiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Sarah A. Bargal
- Department of Computer Science, Georgetown University, Washington DC, USA
| | | | | | - Meysam Ahangaran
- Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Rhoda Au
- Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- The Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Anatomy and Neurobiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Boston University Alzheimer’s Disease Research Center, Boston, MA, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Vijaya B. Kolachalama
- Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Faculty of Computing & Data Sciences, Boston University, MA, USA
- Department of Computer Science, Boston University, MA, USA
- Boston University Alzheimer’s Disease Research Center, Boston, MA, USA
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Chancel R, Lopez-Castroman J, Baca-Garcia E, Mateos Alvarez R, Courtet P, Conejero I. Biomarkers of Bipolar Disorder in Late Life: An Evidence-Based Systematic Review. Curr Psychiatry Rep 2024; 26:78-103. [PMID: 38470559 DOI: 10.1007/s11920-024-01483-7] [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] [Accepted: 01/09/2024] [Indexed: 03/14/2024]
Abstract
PURPOSE OF REVIEW Review the current evidence on biomarkers for bipolar disorder in the older adults. We conducted a systematic search of PubMed MEDLINE, PsycINFO, and Web of Science databases using the MeSH search terms "Biomarkers", "Bipolar Disorder", "Aged" and and "Aged, 80 and over". Studies were included if they met the following criteria: (1) the mean age of the study population was 50 years old or older, (2) the study included patients with bipolar disorder, and (3) the study examined one type of biomarkers or more including genetic, neuroimaging, and biochemical biomarkers. Reviews, case reports, studies not in English and studies for which no full text was available were excluded. A total of 26 papers were included in the final analysis. RECENT FINDINGS Genomic markers of bipolar disorder in older adults highlighted the implication of serotonin metabolism, while the expression of genes involved in angiogenesis was dysregulated. Peripheral blood markers were mainly related with low grade inflammation, axonal damage, endothelial dysfunction, and the dysregulation of the HPA axis. Neuroanatomical markers reflected a dysfunction of the frontal cortex, a loss of neurones in the anterior cingulate cortex and a reduction of the hippocampal volume (in patients older than 50 years old). While not necessarily limited to older adults, some of them may be useful for differential diagnosis (neurofilaments), disease staging (homocysteine, BDNF) and the monitoring of treatment outcomes (matrix metalloproteinases). Our review provides a comprehensive overview of the current evidence on biomarkers for bipolar disorder in the older adults. The identification of biomarkers may aid in the diagnosis, treatment selection, and monitoring of bipolar disorder in older adults, ultimately leading to improved outcomes for this population. Further research is needed to validate and further explore the potential clinical utility of biomarkers in this population.
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Affiliation(s)
- R Chancel
- PSNREC, Univ Montpellier, INSERM, CHU de Montpellier, Montpellier, France
- Department of Emergency Psychiatry and Acute Care, Lapeyronie Hospital, CHU Montpellier, Montpellier, France
| | - J Lopez-Castroman
- Department of Psychiatry, Nimes University Hospital, Nimes, France
- Department of Signal Theory and Communications, Carlos III University, Madrid, Spain
- Institut de Génomique Fonctionnelle, University of Montpellier, CNRS-INSERM, Montpellier, France
- Centro de Investigación Biomédica en Red de Salud Mental, Madrid, Spain
| | - E Baca-Garcia
- Instituto de Investigación Sanitaria Fundación Jiménez Díaz, Madrid, Spain
- Department of Psychiatry, Hospital Universitario Rey Juan Carlos, Móstoles, Madrid, Spain
- Universidad Autónoma de Madrid, Madrid, Spain
- Department of Psychiatry, Hospital Universitario Fundación Jiménez Díaz, Madrid, Spain
- Department of Psychiatry, Hospital Universitario Central de Villalba, Madrid, Spain
- Department of Psychiatry, Hospital Universitario Infanta Elena, Valdemoro, Madrid, Spain
- Universidad Católica del Maude, Talca, Chile
- CIBERSAM, Instituto de Salud Carlos III, Madrid, Spain
| | - R Mateos Alvarez
- Department of Psychiatry, University of Santiago de Compostela, Santiago de Compostela, Spain
- Psychogeriatric Unit, CHUS University Hospital, Santiago de Compostela, Spain
| | - Ph Courtet
- PSNREC, Univ Montpellier, INSERM, CHU de Montpellier, Montpellier, France
- Department of Emergency Psychiatry and Acute Care, Lapeyronie Hospital, CHU Montpellier, Montpellier, France
| | - I Conejero
- Instituto de Investigación Sanitaria Fundación Jiménez Díaz, Madrid, Spain.
- Universidad Autónoma de Madrid, Madrid, Spain.
- Department of Psychiatry, Hospital Universitario Fundación Jiménez Díaz, Madrid, Spain.
- Department of Psychiatry, CHU Nîmes, PSNREC, INSERM, University of Montpellier, Nîmes, France.
- Pôle de psychiatrie, CHU Nîmes, Rue du Professeur Robert Debré, 30900, Nîmes, France.
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4
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Timmi A, Morin A, Guillin O, Nicolas G. One Train May Hide Another: Two Cases of Co-Occurring Primary Familial Brain Calcification and Alzheimer's Disease. J Mol Neurosci 2024; 74:2. [PMID: 38180527 DOI: 10.1007/s12031-023-02184-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Accepted: 12/02/2023] [Indexed: 01/06/2024]
Abstract
Primary familial brain calcification (PFBC) is a rare disorder that can manifest with a wide spectrum of motor, cognitive, and psychiatric symptoms or even remain asymptomatic. Alzheimer disease (AD) is a common condition that typically starts as a progressive amnestic disorder and progresses to major cognitive impairment. Accurately attributing an etiology to cognitive impairment can sometimes be challenging, especially when multiple pathologies with potentially overlapping symptomatology contribute to the clinical phenotype. Here, we present the case of two patients with autosomal dominant PFBC and non-monogenic AD. Cerebrospinal fluid (CSF) biomarker analysis combined with genetic testing permitted the dual diagnosis. We emphasize the importance of thoroughly characterizing the patient's phenotype at onset and during the follow-up. Particular attention is placed on psychiatric symptoms given that both patients had a history of mood disorder, a frequent condition in the general population and in neurological diseases. We also discuss and challenge the paradigm of seeking a single diagnosis explaining all symptoms, remembering the possibility of a rare disease co-occurring with a common one.
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Affiliation(s)
- Andrea Timmi
- Department of Psychiatry, Rouvray Hospital, Univ Rouen Normandie, F-76000, Rouen, France
| | - Alexandre Morin
- Department of Psychiatry, Rouvray Hospital, Univ Rouen Normandie, F-76000, Rouen, France
- Univ Rouen Normandie, Normandie Univ and CHU Rouen, Department of Neurology, F-76000, Rouen, France
| | - Olivier Guillin
- Department of Psychiatry, Rouvray Hospital, Univ Rouen Normandie, F-76000, Rouen, France
- Univ Rouen Normandie, Normandie Univ, Inserm U1245 and CHU Rouen, Department of Psychiatry, F-76000, Rouen, France
| | - Gaël Nicolas
- Univ Rouen Normandie, Normandie Univ, Inserm U1245 and CHU Rouen, Department of Genetics and CNR-MAJ, F-76000, Rouen, France.
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5
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Liu MN, Hu LY, Tsai CF, Hong CJ, Chou YH, Chang CC, Yang KC, You ZH, Lau CI. Abnormalities of Hippocampal Subfield and Amygdalar Nuclei Volumes and Clinical Correlates in Behavioral Variant Frontotemporal Dementia with Obsessive-Compulsive Behavior-A Pilot Study. Brain Sci 2023; 13:1582. [PMID: 38002542 PMCID: PMC10669726 DOI: 10.3390/brainsci13111582] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2023] [Revised: 11/01/2023] [Accepted: 11/09/2023] [Indexed: 11/26/2023] Open
Abstract
(1) Background: The hippocampus (HP) and amygdala are essential structures in obsessive-compulsive behavior (OCB); however, the specific role of the HP in patients with behavioral variant frontotemporal dementia (bvFTD) and OCB remains unclear. (2) Objective: We investigated the alterations of hippocampal and amygdalar volumes in patients with bvFTD and OCB and assessed the correlations of clinical severity with hippocampal subfield and amygdalar nuclei volumes in bvFTD patients with OCB. (3) Materials and methods: Eight bvFTD patients with OCB were recruited and compared with eight age- and sex-matched healthy controls (HCs). Hippocampal subfield and amygdalar nuclei volumes were analyzed automatically using a 3T magnetic resonance image and FreeSurfer v7.1.1. All participants completed the Yale-Brown Obsessive-Compulsive Scale (Y-BOCS), Neuropsychiatric Inventory (NPI), and Frontal Behavioral Inventory (FBI). (4) Results: We observed remarkable reductions in bilateral total hippocampal volumes. Compared with the HCs, reductions in the left hippocampal subfield volume over the cornu ammonis (CA)1 body, CA2/3 body, CA4 body, granule cell layer, and molecular layer of the dentate gyrus (GC-ML-DG) body, molecular layer of the HP body, and hippocampal tail were more obvious in patients with bvFTD and OCB. Right subfield volumes over the CA1 body and molecular layer of the HP body were more significantly reduced in bvFTD patients with OCB than in those in HCs. We observed no significant difference in amygdalar nuclei volume between the groups. Among patients with bvFTD and OCB, Y-BOCS score was negatively correlated with left CA2/3 body volume (τb = -0.729, p < 0.001); total NPI score was negatively correlated with left GC-ML-DG body (τb = -0.648, p = 0.001) and total bilateral hippocampal volumes (left, τb = -0.629, p = 0.002; right, τb = -0.455, p = 0.023); and FBI score was negatively correlated with the left molecular layer of the HP body (τb = -0.668, p = 0.001), CA4 body (τb = -0.610, p = 0.002), and hippocampal tail volumes (τb = -0.552, p < 0.006). Mediation analysis confirmed these subfield volumes as direct biomarkers for clinical severity, independent of medial and lateral orbitofrontal volumes. (5) Conclusions: Alterations in hippocampal subfield volumes appear to be crucial in the pathophysiology of OCB development in patients with bvFTD.
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Grants
- 102-2314-B-075 -082, 105-2314-B-075 -024 -MY2, 104-2314-B-075 -039, 111-2314-B-075 -015 Ministry of Science and Technology, Taiwan
- V108B-009, V112B-039, V110B-028, V111B-033 Taipei Veterans General Hospital, Taiwan
- RVHCY111024 Chiayi branch of Taichung Veterans General Hospital, Taiwan
- 2021SKHADR016 Shin Kong Wu Ho-Su Memorial Hospital, Taiwan
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Affiliation(s)
- Mu-N Liu
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei 11217, Taiwan; (M.-N.L.); (C.-J.H.)
- School of Medicine, National Yang Ming Chiao Tung University, Taipei 11221, Taiwan
| | - Li-Yu Hu
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei 11217, Taiwan; (M.-N.L.); (C.-J.H.)
- School of Medicine, National Yang Ming Chiao Tung University, Taipei 11221, Taiwan
| | - Chia-Fen Tsai
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei 11217, Taiwan; (M.-N.L.); (C.-J.H.)
- School of Medicine, National Yang Ming Chiao Tung University, Taipei 11221, Taiwan
| | - Chen-Jee Hong
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei 11217, Taiwan; (M.-N.L.); (C.-J.H.)
- School of Medicine, National Yang Ming Chiao Tung University, Taipei 11221, Taiwan
| | - Yuan-Hwa Chou
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei 11217, Taiwan; (M.-N.L.); (C.-J.H.)
- Center for Quality Management, Taipei Veterans General Hospital, Taipei 11217, Taiwan
| | - Chiung-Chih Chang
- Department of Neurology, Cognition and Aging Center, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung 83301, Taiwan
- College of Medicine, Chang Gung University, Taoyuan 33302, Taiwan
| | - Kai-Chun Yang
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei 11217, Taiwan; (M.-N.L.); (C.-J.H.)
- School of Medicine, National Yang Ming Chiao Tung University, Taipei 11221, Taiwan
| | - Zi-Hong You
- Department of Nephrology, Chiayi Branch, Taichung Veterans General Hospital, Chiayi 60090, Taiwan
| | - Chi Ieong Lau
- Dementia Center, Department of Neurology, Shin Kong Wu Ho-Su Memorial Hospital, No.95, Wenchang Rd., Shilin Dist., Taipei 11101, Taiwan
- Department of Neurology, University Hospital, Taipai, Macao SAR, China
- Institute of Biophotonics, National Yang Ming Chiao Tung University, Taipei 11221, Taiwan
- College of Medicine, Fu-Jen Catholic University, New Taipei City 24205, Taiwan
- Applied Cognitive Neuroscience Group, Institute of Cognitive Neuroscience, 17 Queen Square, University College London, London WC1N 3AZ, UK
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Godfrey RK, Alsop E, Bjork RT, Chauhan BS, Ruvalcaba HC, Antone J, Gittings LM, Michael AF, Williams C, Hala'ufia G, Blythe AD, Hall M, Sattler R, Van Keuren-Jensen K, Zarnescu DC. Modelling TDP-43 proteinopathy in Drosophila uncovers shared and neuron-specific targets across ALS and FTD relevant circuits. Acta Neuropathol Commun 2023; 11:168. [PMID: 37864255 PMCID: PMC10588218 DOI: 10.1186/s40478-023-01656-0] [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: 08/03/2023] [Accepted: 09/19/2023] [Indexed: 10/22/2023] Open
Abstract
Amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) comprise a spectrum of neurodegenerative diseases linked to TDP-43 proteinopathy, which at the cellular level, is characterized by loss of nuclear TDP-43 and accumulation of cytoplasmic TDP-43 inclusions that ultimately cause RNA processing defects including dysregulation of splicing, mRNA transport and translation. Complementing our previous work in motor neurons, here we report a novel model of TDP-43 proteinopathy based on overexpression of TDP-43 in a subset of Drosophila Kenyon cells of the mushroom body (MB), a circuit with structural characteristics reminiscent of vertebrate cortical networks. This model recapitulates several aspects of dementia-relevant pathological features including age-dependent neuronal loss, nuclear depletion and cytoplasmic accumulation of TDP-43, and behavioral deficits in working memory and sleep that occur prior to axonal degeneration. RNA immunoprecipitations identify several candidate mRNA targets of TDP-43 in MBs, some of which are unique to the MB circuit and others that are shared with motor neurons. Among the latter is the glypican Dally-like-protein (Dlp), which exhibits significant TDP-43 associated reduction in expression during aging. Using genetic interactions we show that overexpression of Dlp in MBs mitigates TDP-43 dependent working memory deficits, conistent with Dlp acting as a mediator of TDP-43 toxicity. Substantiating our findings in the fly model, we find that the expression of GPC6 mRNA, a human ortholog of dlp, is specifically altered in neurons exhibiting the molecular signature of TDP-43 pathology in FTD patient brains. These findings suggest that circuit-specific Drosophila models provide a platform for uncovering shared or disease-specific molecular mechanisms and vulnerabilities across the spectrum of TDP-43 proteinopathies.
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Affiliation(s)
- R Keating Godfrey
- Department of Molecular and Cellular Biology, Life Sciences South, University of Arizona, 1007 E. Lowell St., Tucson, AZ, 85721, USA.
- McGuire Center for Lepidoptera and Biodiversity, Florida Museum of Natural History, University of Florida, 3215 Hull Road, Gainesville, FL, 32611, USA.
| | - Eric Alsop
- Translational Genomics Research Institute, 445 N 5th St., Phoenix, AZ, 85004, USA
| | - Reed T Bjork
- Department of Molecular and Cellular Biology, Life Sciences South, University of Arizona, 1007 E. Lowell St., Tucson, AZ, 85721, USA
| | - Brijesh S Chauhan
- Cellular and Molecular Physiology, Penn State College of Medicine, 500 University Drive Crescent Building C4605, Hershey, PA, 17033, USA
| | - Hillary C Ruvalcaba
- Department of Molecular and Cellular Biology, Life Sciences South, University of Arizona, 1007 E. Lowell St., Tucson, AZ, 85721, USA
| | - Jerry Antone
- Translational Genomics Research Institute, 445 N 5th St., Phoenix, AZ, 85004, USA
| | - Lauren M Gittings
- Department of Translational Neuroscience, Barrow Neurological Institute, 350 W Thomas Road, Phoenix, AZ, 85013, USA
| | - Allison F Michael
- Department of Molecular and Cellular Biology, Life Sciences South, University of Arizona, 1007 E. Lowell St., Tucson, AZ, 85721, USA
| | - Christi Williams
- Department of Molecular and Cellular Biology, Life Sciences South, University of Arizona, 1007 E. Lowell St., Tucson, AZ, 85721, USA
| | - Grace Hala'ufia
- Department of Molecular and Cellular Biology, Life Sciences South, University of Arizona, 1007 E. Lowell St., Tucson, AZ, 85721, USA
| | - Alexander D Blythe
- Department of Molecular and Cellular Biology, Life Sciences South, University of Arizona, 1007 E. Lowell St., Tucson, AZ, 85721, USA
| | - Megan Hall
- Translational Genomics Research Institute, 445 N 5th St., Phoenix, AZ, 85004, USA
| | - Rita Sattler
- Department of Translational Neuroscience, Barrow Neurological Institute, 350 W Thomas Road, Phoenix, AZ, 85013, USA
| | | | - Daniela C Zarnescu
- Department of Molecular and Cellular Biology, Life Sciences South, University of Arizona, 1007 E. Lowell St., Tucson, AZ, 85721, USA.
- Cellular and Molecular Physiology, Penn State College of Medicine, 500 University Drive Crescent Building C4605, Hershey, PA, 17033, USA.
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7
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McKenzie AK, Chawla R, Patel B, Shashank RB. Late-Onset Bipolar Disorder: Considerations for Diagnosis and Treatment. Cureus 2023; 15:e39278. [PMID: 37378188 PMCID: PMC10292029 DOI: 10.7759/cureus.39278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/19/2023] [Indexed: 06/29/2023] Open
Abstract
Bipolar I disorder is characterized by the presence of at least one manic episode (DSM-5). Despite a decent percentage of individuals being diagnosed later in life, there currently exist no formal treatment guidelines for late-onset bipolar disorder (LOBD), which remains poorly understood. Typically, manic or manic-like episodes in elderly individuals can be thought of as arising from a secondary, physical cause. However, in the absence of a pre-existing neurological disorder - and when laboratory, imaging, and exam findings do not fully support a neurological picture - the determination of a structural versus primary etiology for LOBD becomes challenging. We present the case of Ms. S, a 79-year-old woman with a past psychiatry history of bipolar disorder diagnosed after 2012 and non-contributory past medical history who was admitted to a state mental hospital on a probate court order from local jail secondary to labile mood and physical aggression toward an officer. Initial labs were remarkable for slightly elevated low-density lipoprotein and a B12 at the lower limit of normal. She was started on a regiment oral B12 supplement, valproic acid 500 mg twice daily, haloperidol 5 mg nightly, and diphenhydramine 25 mg nightly. Despite her medication regimen, she continued to display marked mood lability, tangential thought processes, grandiose delusions, and paranoia. A CT head one week into admission revealed bilateral periventricular white-matter hyperintensities with decreased attenuation and chronic white-matter infarcts. She underwent five sessions of electroconvulsive therapy (ECT), with significantly improving Montreal Cognitive Assessment and Young Mania Rating Scale scores. At the time of discharge on day 32, the patient was fully oriented to self and surroundings with good hygiene, a normal rate of speech, euthymic mood, and congruent affect. The case of Ms. S underscores the importance of a thorough workup to rule out secondary causes of mania. In addition, it is a clarion call for revisiting and researching a comprehensive management approach to LOBD, for which serial cognitive assessments and ECTs may play an important role.
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Affiliation(s)
- Anna K McKenzie
- Department of Neurological Sciences, Rush University Medical Center, Chicago, USA
| | - Rishab Chawla
- Department of Psychiatry and Health Behavior, Augusta University Medical College of Georgia, Augusta, USA
| | - Bhargav Patel
- Department of Psychiatry and Health Behavior, Augusta University Medical College of Georgia, Augusta, USA
| | - Reddy B Shashank
- Department of Psychiatry and Health Behavior, Augusta University Medical College of Georgia, Augusta, USA
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Dell'Osso L, Chiarantini I, Bonelli C, Cappellato G, Carpita B. A comprehensive perspective of autistic traits and catatonic symptoms in a patient with Fronto-Temporal Dementia and Bipolar Disorder: a case report. BMC Psychiatry 2023; 23:216. [PMID: 36997907 PMCID: PMC10064735 DOI: 10.1186/s12888-023-04709-9] [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: 08/16/2022] [Accepted: 03/22/2023] [Indexed: 04/01/2023] Open
Abstract
BACKGROUND Fronto-Temporal Dementia (FTD) is a neurodegenerative disorder featuring frontotemporal lobe atrophy which leads to profound changes in behavior and cognition in the affected subjects. Considering that the onset of this type of dementia is typically characterized by the development of affective symptoms, differential diagnosis between FTD and Bipolar Disorder (BD) is particularly difficult. An important overlapping feature between BD and FTD is the presence of catatonic symptoms: Catatonia is extremely frequent in FTD, and, on the other hand, BD is the psychiatric disease with the highest frequency of association with catatonic states. In this framework, it should be noted that also Autism Spectrum conditions have been reported to show high rates of comorbidity and overlapping features with BD. In addition, subjects with autistic traits were reported to show an increased vulnerability towards the development of mood and anxiety disorders, as well as increase the risk of mood episodes with mixed features, suicidal thoughts and catatonic symptoms. CASE PRESENTATION We reported the case of a patient with a diagnosis of both BD and FTD who showed catatonic symptoms. OBJECTIVES The aim of this case report is to evaluate the possible role of autistic traits in the illness trajectory of BD and FTD. CONCLUSION This case confirms the presence of a continuum between psychiatric and neurological conditions, which should be considered as expressions of a same neurobiological system and further investigated in light of an integrative model.
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Affiliation(s)
- Liliana Dell'Osso
- Department of Clinical and Experimental Medicine, University of Pisa, Via Roma 67, 56127, Pisa, Italy
| | - Ilaria Chiarantini
- Department of Clinical and Experimental Medicine, University of Pisa, Via Roma 67, 56127, Pisa, Italy.
| | - Chiara Bonelli
- Department of Clinical and Experimental Medicine, University of Pisa, Via Roma 67, 56127, Pisa, Italy
| | - Gabriele Cappellato
- Department of Clinical and Experimental Medicine, University of Pisa, Via Roma 67, 56127, Pisa, Italy
| | - Barbara Carpita
- Department of Clinical and Experimental Medicine, University of Pisa, Via Roma 67, 56127, Pisa, Italy
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Digiovanni A, Ajdinaj P, Russo M, Sensi SL, Onofrj M, Thomas A. Bipolar spectrum disorders in neurologic disorders. Front Psychiatry 2022; 13:1046471. [PMID: 36620667 PMCID: PMC9811836 DOI: 10.3389/fpsyt.2022.1046471] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Accepted: 12/05/2022] [Indexed: 12/24/2022] Open
Abstract
Psychiatric symptoms frequently predate or complicate neurological disorders, such as neurodegenerative diseases. Symptoms of bipolar spectrum disorders (BSD), like mood, behavioral, and psychotic alterations, are known to occur - individually or as a syndromic cluster - in Parkinson's disease and in the behavioral variant of frontotemporal dementia (FTD). Nonetheless, due to shared pathophysiological mechanisms, or genetic predisposition, several other neurological disorders show significant, yet neglected, clinical and biological overlaps with BSD like neuroinflammation, ion channel dysfunctions, neurotransmission imbalance, or neurodegeneration. BSD pathophysiology is still largely unclear, but large-scale network dysfunctions are known to participate in the onset of mood disorders and psychotic symptoms. Thus, functional alterations can unleash BSD symptoms years before the evidence of an organic disease of the central nervous system. The aim of our narrative review was to illustrate the numerous intersections between BSD and neurological disorders from a clinical-biological point of view and the underlying predisposing factors, to guide future diagnostic and therapeutical research in the field.
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Affiliation(s)
- Anna Digiovanni
- Department of Neuroscience, Imaging and Clinical Sciences, "G. D'Annunzio" University of Chieti-Pescara, Chieti, Italy.,Center for Advanced Studies and Technology (CAST), "G. D'Annunzio" University of Chieti-Pescara, Chieti, Italy
| | - Paola Ajdinaj
- Department of Neuroscience, Imaging and Clinical Sciences, "G. D'Annunzio" University of Chieti-Pescara, Chieti, Italy.,Center for Advanced Studies and Technology (CAST), "G. D'Annunzio" University of Chieti-Pescara, Chieti, Italy
| | - Mirella Russo
- Department of Neuroscience, Imaging and Clinical Sciences, "G. D'Annunzio" University of Chieti-Pescara, Chieti, Italy.,Center for Advanced Studies and Technology (CAST), "G. D'Annunzio" University of Chieti-Pescara, Chieti, Italy
| | - Stefano L Sensi
- Department of Neuroscience, Imaging and Clinical Sciences, "G. D'Annunzio" University of Chieti-Pescara, Chieti, Italy.,Center for Advanced Studies and Technology (CAST), "G. D'Annunzio" University of Chieti-Pescara, Chieti, Italy
| | - Marco Onofrj
- Department of Neuroscience, Imaging and Clinical Sciences, "G. D'Annunzio" University of Chieti-Pescara, Chieti, Italy.,Center for Advanced Studies and Technology (CAST), "G. D'Annunzio" University of Chieti-Pescara, Chieti, Italy
| | - Astrid Thomas
- Department of Neuroscience, Imaging and Clinical Sciences, "G. D'Annunzio" University of Chieti-Pescara, Chieti, Italy
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Schwitzer T, Leboyer M, Schwan R. A Reflection Upon the Contribution of Retinal and Cortical Electrophysiology to Time of Information Processing in Psychiatric Disorders. Front Psychiatry 2022; 13:856498. [PMID: 35449563 PMCID: PMC9017967 DOI: 10.3389/fpsyt.2022.856498] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Accepted: 03/16/2022] [Indexed: 11/15/2022] Open
Affiliation(s)
- Thomas Schwitzer
- Pôle Hospitalo-Universitaire de Psychiatrie d'Adultes et d'Addictologie du Grand Nancy, Centre Psychothérapique de Nancy, Laxou, France.,INSERM U1254, IADI, Université de Lorraine, Nancy, France.,Faculté de Médecine, Université de Lorraine, Vandœuvre-lès-Nancy, France.,Fondation FondaMental, Créteil, France
| | - Marion Leboyer
- Fondation FondaMental, Créteil, France.,Université Paris Est Creteil (UPEC), AP-HP, Hôpitaux Universitaires ≪ H. Mondor ≫, DMU IMPACT, FHU ADAPT, INSERMU955, IMRB, Translational Neuropsychiatry Laboratory, Creteil, France
| | - Raymund Schwan
- Pôle Hospitalo-Universitaire de Psychiatrie d'Adultes et d'Addictologie du Grand Nancy, Centre Psychothérapique de Nancy, Laxou, France.,INSERM U1254, IADI, Université de Lorraine, Nancy, France.,Faculté de Médecine, Université de Lorraine, Vandœuvre-lès-Nancy, France.,Fondation FondaMental, Créteil, France
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