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Capstick A, Palermo F, Zakka K, Fletcher-Lloyd N, Walsh C, Cui T, Kouchaki S, Jackson R, Tran M, Crone M, Jensen K, Freemont P, Vaidyanathan R, Kolanko M, True J, Daniels S, Wingfield D, Nilforooshan R, Barnaghi P. Digital remote monitoring for screening and early detection of urinary tract infections. NPJ Digit Med 2024; 7:11. [PMID: 38218738 PMCID: PMC10787784 DOI: 10.1038/s41746-023-00995-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Accepted: 12/11/2023] [Indexed: 01/15/2024] Open
Abstract
Urinary Tract Infections (UTIs) are one of the most prevalent bacterial infections in older adults and a significant contributor to unplanned hospital admissions in People Living with Dementia (PLWD), with early detection being crucial due to the predicament of reporting symptoms and limited help-seeking behaviour. The most common diagnostic tool is urine sample analysis, which can be time-consuming and is only employed where UTI clinical suspicion exists. In this method development and proof-of-concept study, participants living with dementia were monitored via low-cost devices in the home that passively measure activity, sleep, and nocturnal physiology. Using 27828 person-days of remote monitoring data (from 117 participants), we engineered features representing symptoms used for diagnosing a UTI. We then evaluate explainable machine learning techniques in passively calculating UTI risk and perform stratification on scores to support clinical translation and allow control over the balance between alert rate and sensitivity and specificity. The proposed UTI algorithm achieves a sensitivity of 65.3% (95% Confidence Interval (CI) = 64.3-66.2) and specificity of 70.9% (68.6-73.1) when predicting UTIs on unseen participants and after risk stratification, a sensitivity of 74.7% (67.9-81.5) and specificity of 87.9% (85.0-90.9). In addition, feature importance methods reveal that the largest contributions to the predictions were bathroom visit statistics, night-time respiratory rate, and the number of previous UTI events, aligning with the literature. Our machine learning method alerts clinicians of UTI risk in subjects, enabling earlier detection and enhanced screening when considering treatment.
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Affiliation(s)
- Alexander Capstick
- Imperial College London, London, UK.
- UK Dementia Research Institute, Care Research and Technology Centre, London, UK.
| | - Francesca Palermo
- Imperial College London, London, UK
- UK Dementia Research Institute, Care Research and Technology Centre, London, UK
| | - Kimberley Zakka
- University College London, London, UK
- Great Ormond Street Hospital NHS Foundation Trust, London, UK
| | - Nan Fletcher-Lloyd
- Imperial College London, London, UK
- UK Dementia Research Institute, Care Research and Technology Centre, London, UK
| | - Chloe Walsh
- Imperial College London, London, UK
- UK Dementia Research Institute, Care Research and Technology Centre, London, UK
| | - Tianyu Cui
- Imperial College London, London, UK
- UK Dementia Research Institute, Care Research and Technology Centre, London, UK
| | - Samaneh Kouchaki
- Imperial College London, London, UK
- UK Dementia Research Institute, Care Research and Technology Centre, London, UK
- University of Surrey, London, UK
| | - Raphaella Jackson
- Imperial College London, London, UK
- UK Dementia Research Institute, Care Research and Technology Centre, London, UK
| | - Martin Tran
- Imperial College London, London, UK
- UK Dementia Research Institute, Care Research and Technology Centre, London, UK
| | - Michael Crone
- Imperial College London, London, UK
- UK Dementia Research Institute, Care Research and Technology Centre, London, UK
| | - Kirsten Jensen
- Imperial College London, London, UK
- UK Dementia Research Institute, Care Research and Technology Centre, London, UK
| | - Paul Freemont
- Imperial College London, London, UK
- UK Dementia Research Institute, Care Research and Technology Centre, London, UK
| | - Ravi Vaidyanathan
- Imperial College London, London, UK
- UK Dementia Research Institute, Care Research and Technology Centre, London, UK
| | - Magdalena Kolanko
- Imperial College London, London, UK
- UK Dementia Research Institute, Care Research and Technology Centre, London, UK
| | - Jessica True
- UK Dementia Research Institute, Care Research and Technology Centre, London, UK
- Surrey and Borders Partnership NHS Foundation Trust, Leatherhead, UK
| | - Sarah Daniels
- Imperial College London, London, UK
- UK Dementia Research Institute, Care Research and Technology Centre, London, UK
| | - David Wingfield
- Imperial College London, London, UK
- UK Dementia Research Institute, Care Research and Technology Centre, London, UK
| | - Ramin Nilforooshan
- Imperial College London, London, UK
- UK Dementia Research Institute, Care Research and Technology Centre, London, UK
- University of Surrey, London, UK
- Surrey and Borders Partnership NHS Foundation Trust, Leatherhead, UK
| | - Payam Barnaghi
- Imperial College London, London, UK.
- UK Dementia Research Institute, Care Research and Technology Centre, London, UK.
- University College London, London, UK.
- Great Ormond Street Hospital NHS Foundation Trust, London, UK.
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Mórotz GM, Bradbury NA, Caluseriu O, Hisanaga SI, Miller CCJ, Swiatecka-Urban A, Lenz HJ, Moss SJ, Giamas G. A revised nomenclature for the lemur family of protein kinases. Commun Biol 2024; 7:57. [PMID: 38191649 PMCID: PMC10774328 DOI: 10.1038/s42003-023-05671-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Accepted: 12/04/2023] [Indexed: 01/10/2024] Open
Abstract
The lemur family of protein kinases has gained much interest in recent years as they are involved in a variety of cellular processes including regulation of axonal transport and endosomal trafficking, modulation of synaptic functions, memory and learning, and they are centrally placed in several intracellular signalling pathways. Numerous studies have also implicated role of the lemur kinases in the development and progression of a wide range of cancers, cystic fibrosis, and neurodegenerative diseases. However, parallel discoveries and inaccurate prediction of their kinase activity have resulted in a confusing and misleading nomenclature of these proteins. Herein, a group of international scientists with expertise in lemur family of protein kinases set forth a novel nomenclature to rectify this problem and ultimately help the scientific community by providing consistent information about these molecules.
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Affiliation(s)
- Gábor M Mórotz
- Department of Pharmacology and Pharmacotherapy, Semmelweis University, 1089, Budapest, Hungary.
| | - Neil A Bradbury
- Department of Physiology and Biophysics, Chicago Medical School, North Chicago, IL, 60064, USA
| | - Oana Caluseriu
- Department of Medical Genetics, University of Alberta Hospital, Edmonton, AB, T6G 2H7, Canada
| | - Shin-Ichi Hisanaga
- Laboratory of Molecular Neuroscience, Department of Biological Sciences, Graduate School of Science, Tokyo Metropolitan University, Minami-Osawa, Hachioji, Tokyo, 92-0397, Japan
| | - Christopher C J Miller
- Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 9RX, UK
| | - Agnieszka Swiatecka-Urban
- Department of Pediatrics, University of Virginia School of Medicine, Charlottesville, VA, 22903, USA
| | - Heinz-Josef Lenz
- Department of Medicine, University of Southern California/Norris Comprehensive Cancer Centre, Los Angeles, CA, 90033, USA
| | - Stephen J Moss
- Department of Neuroscience, Tufts University School of Medicine, Boston, MA, 02111, USA
- Department of Neuroscience, Physiology and Pharmacology, University College London, London, WC1 6BT, UK
| | - Georgios Giamas
- Department of Biochemistry and Biomedicine, School of Life Sciences, University of Sussex, Brighton, BN1 9QG, UK.
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Van Hulle C, Ince S, Okonkwo OC, Bendlin BB, Johnson SC, Carlsson CM, Asthana S, Love S, Blennow K, Zetterberg H, Scott Miners J. Elevated CSF angiopoietin-2 correlates with blood-brain barrier leakiness and markers of neuronal injury in early Alzheimer's disease. Transl Psychiatry 2024; 14:3. [PMID: 38182581 PMCID: PMC10770135 DOI: 10.1038/s41398-023-02706-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 11/12/2023] [Accepted: 12/05/2023] [Indexed: 01/07/2024] Open
Abstract
Breakdown of the neurovascular unit is associated with blood-brain barrier (BBB) leakiness contributing to cognitive decline and disease pathology in the early stages of Alzheimer's disease (AD). Vascular stability depends on angiopoietin-1 (ANGPT-1) signalling, antagonised by angiopoietin-2 (ANGPT-2) expressed upon endothelial injury. We examined the relationship between CSF ANGPT-2 and CSF markers of BBB leakiness and core AD biomarkers across three independent cohorts: (i) 31 AD patients and 33 healthy controls grouped according to their biomarker profile (i.e., AD cases t-tau > 400 pg/mL, p-tau > 60 pg/mL and Aβ42 < 550 pg/mL); (ii) 121 participants in the Wisconsin Registry for Alzheimer's Prevention or Wisconsin Alzheimer's Disease Research study (84 participants cognitively unimpaired (CU) enriched for a parental history of AD, 20 participants with mild cognitive impairment (MCI), and 17 with AD); (iii) a neurologically normal cohort aged 23-78 years with paired CSF and serum samples. CSF ANGPT-2, sPDGFRβ, albumin and fibrinogen levels were measured by sandwich ELISA. In cohort (i), CSF ANGPT-2 was elevated in AD and correlated with CSF t-tau and p-tau181 but not Aβ42. ANGPT-2 also correlated positively with CSF sPDGFRβ and fibrinogen - markers of pericyte injury and BBB leakiness. In cohort (ii), CSF ANGPT-2 was highest in MCI and correlated with CSF albumin in the CU and MCI cohorts but not in AD. CSF ANGPT-2 also correlated with CSF t-tau and p-tau and with markers of neuronal injury (neurogranin and α-synuclein) and neuroinflammation (GFAP and YKL-40). In cohort (iii), CSF ANGPT-2 correlated strongly with the CSF/serum albumin ratio. Serum ANGPT-2 showed non-significant positive associations with CSF ANGPT-2 and the CSF/serum albumin ratio. Together, these data indicate that CSF and possibly serum ANGPT-2 is associated with BBB leakiness in early AD and is closely related to tau pathology and neuronal injury. The utility of serum ANGPT-2 as a biomarker of BBB damage in AD requires further study.
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Affiliation(s)
- Carol Van Hulle
- Wisconsin Alzheimer's Disease Research Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
- Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, University of Wisconsin-Madison, Madison, WI, USA
| | - Selvi Ince
- Dementia Research Group, Clinical Neurosciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Ozioma C Okonkwo
- Wisconsin Alzheimer's Disease Research Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Alzheimer's Institute, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
- Geriatric Research Education and Clinical Center, William S. Middleton Memorial Veterans Hospital, Madison, WI, USA
| | - Barbara B Bendlin
- Wisconsin Alzheimer's Disease Research Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
- Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Alzheimer's Institute, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
- Geriatric Research Education and Clinical Center, William S. Middleton Memorial Veterans Hospital, Madison, WI, USA
| | - Sterling C Johnson
- Wisconsin Alzheimer's Disease Research Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
- Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Alzheimer's Institute, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
- Geriatric Research Education and Clinical Center, William S. Middleton Memorial Veterans Hospital, Madison, WI, USA
| | - Cynthia M Carlsson
- Wisconsin Alzheimer's Disease Research Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
- Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Alzheimer's Institute, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
- Geriatric Research Education and Clinical Center, William S. Middleton Memorial Veterans Hospital, Madison, WI, USA
| | - Sanjay Asthana
- Wisconsin Alzheimer's Disease Research Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Alzheimer's Institute, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Seth Love
- Dementia Research Group, Clinical Neurosciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Henrik Zetterberg
- Wisconsin Alzheimer's Disease Research Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK
- UK Dementia Research Institute at UCL, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong, China
| | - J Scott Miners
- Dementia Research Group, Clinical Neurosciences, Bristol Medical School, University of Bristol, Bristol, UK.
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Uctepe E, Vona B, Esen FN, Sonmez FM, Smol T, Tümer S, Mancılar H, Geylan Durgun DE, Boute O, Moghbeli M, Ghayoor Karimiani E, Hashemi N, Bakhshoodeh B, Kim HG, Maroofian R, Yesilyurt A. Bi-allelic truncating variants in CASP2 underlie a neurodevelopmental disorder with lissencephaly. Eur J Hum Genet 2024; 32:52-60. [PMID: 37880421 PMCID: PMC10772072 DOI: 10.1038/s41431-023-01461-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 07/24/2023] [Accepted: 09/11/2023] [Indexed: 10/27/2023] Open
Abstract
Lissencephaly (LIS) is a malformation of cortical development due to deficient neuronal migration and abnormal formation of cerebral convolutions or gyri. Thirty-one LIS-associated genes have been previously described. Recently, biallelic pathogenic variants in CRADD and PIDD1, have associated with LIS impacting the previously established role of the PIDDosome in activating caspase-2. In this report, we describe biallelic truncating variants in CASP2, another subunit of PIDDosome complex. Seven patients from five independent families presenting with a neurodevelopmental phenotype were identified through GeneMatcher-facilitated international collaborations. Exome sequencing analysis was carried out and revealed two distinct novel homozygous (NM_032982.4:c.1156delT (p.Tyr386ThrfsTer25), and c.1174 C > T (p.Gln392Ter)) and compound heterozygous variants (c.[130 C > T];[876 + 1 G > T] p.[Arg44Ter];[?]) in CASP2 segregating within the families in a manner compatible with an autosomal recessive pattern. RNA studies of the c.876 + 1 G > T variant indicated usage of two cryptic splice donor sites, each introducing a premature stop codon. All patients from whom brain MRIs were available had a typical fronto-temporal LIS and pachygyria, remarkably resembling the CRADD and PIDD1-related neuroimaging findings. Other findings included developmental delay, attention deficit hyperactivity disorder, hypotonia, seizure, poor social skills, and autistic traits. In summary, we present patients with CASP2-related ID, anterior-predominant LIS, and pachygyria similar to previously reported patients with CRADD and PIDD1-related disorders, expanding the genetic spectrum of LIS and lending support that each component of the PIDDosome complex is critical for normal development of the human cerebral cortex and brain function.
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Affiliation(s)
- Eyyup Uctepe
- Acibadem Ankara Tissue Typing Laboratory, Ankara, Türkiye
| | - Barbara Vona
- Institute of Human Genetics, University Medical Center Göttingen, Heinrich-Düker-Weg 12, 37073, Göttingen, Germany
- Institute for Auditory Neuroscience and InnerEarLab, University Medical Center Göttingen, Robert-Koch-Str. 40, 37075, Göttingen, Germany
| | | | - F Mujgan Sonmez
- Department of Child Neurology, Faculty of Medicine, Retired lecturer, Karadeniz Technical University, Trabzon, Türkiye
- Private Office, Ankara, Türkiye
| | - Thomas Smol
- Institut de Génétique Médicale, Université de Lille, ULR7364 RADEME, CHU Lille, F-59000, Lille, France
| | - Sait Tümer
- Acibadem Labgen Genetic Diagnosis Center, Istanbul, Türkiye
| | | | | | - Odile Boute
- Clinique de Génétique, Université de Lille, ULR7364 RADEME, CHU Lille, F-59000, Lille, France
| | - Meysam Moghbeli
- Department of Medical Genetics and Molecular Medicine, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Ehsan Ghayoor Karimiani
- Molecular and Clinical Sciences Institute, St. George's, University of London, Cranmer Terrace, London, SW17 0RE, UK
- Department of Medical Genetics, Next Generation Genetic Polyclinic, Mashhad, Iran
| | - Narges Hashemi
- Department of Pediatrics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | | | - Hyung Goo Kim
- Neurological Disorders Research Center, Qatar Biomedical Research Institute, Hamad Bin Khalifa University, Doha, Qatar
- College of Health and Life Sciences, Hamad Bin Khalifa University, Doha, Qatar
| | - Reza Maroofian
- Department of Neuromuscular Disorders, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Ahmet Yesilyurt
- Acibadem Labgen Genetic Diagnosis Center, Istanbul, Türkiye.
- Acibadem Maslak Hospital, Istanbul, Türkiye.
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5
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Raguseo F, Wang Y, Li J, Petrić Howe M, Balendra R, Huyghebaert A, Vadukul DM, Tanase DA, Maher TE, Malouf L, Rubio-Sánchez R, Aprile FA, Elani Y, Patani R, Di Michele L, Di Antonio M. The ALS/FTD-related C9orf72 hexanucleotide repeat expansion forms RNA condensates through multimolecular G-quadruplexes. Nat Commun 2023; 14:8272. [PMID: 38092738 PMCID: PMC10719400 DOI: 10.1038/s41467-023-43872-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Accepted: 11/21/2023] [Indexed: 12/17/2023] Open
Abstract
Amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) are neurodegenerative diseases that exist on a clinico-pathogenetic spectrum, designated ALS/FTD. The most common genetic cause of ALS/FTD is expansion of the intronic hexanucleotide repeat (GGGGCC)n in C9orf72. Here, we investigate the formation of nucleic acid secondary structures in these expansion repeats, and their role in generating condensates characteristic of ALS/FTD. We observe significant aggregation of the hexanucleotide sequence (GGGGCC)n, which we associate to the formation of multimolecular G-quadruplexes (mG4s) by using a range of biophysical techniques. Exposing the condensates to G4-unfolding conditions leads to prompt disassembly, highlighting the key role of mG4-formation in the condensation process. We further validate the biological relevance of our findings by detecting an increased prevalence of G4-structures in C9orf72 mutant human motor neurons when compared to healthy motor neurons by staining with a G4-selective fluorescent probe, revealing signal in putative condensates. Our findings strongly suggest that RNA G-rich repetitive sequences can form protein-free condensates sustained by multimolecular G-quadruplexes, highlighting their potential relevance as therapeutic targets for C9orf72 mutation-related ALS/FTD.
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Affiliation(s)
- Federica Raguseo
- Imperial College London, Department of Chemistry, Molecular Sciences Research Hub, 82 Wood Lane, London, W12 0BZ, UK
- University of Cambridge, Department of Chemical Engineering and Biotechnology, Philippa Fawcett Drive, Cambridge, CB3 0AS, UK
- Imperial College London, Institute of Chemical Biology, Molecular Sciences Research Hub, 82 Wood Lane, London, W12 0BZ, UK
| | - Yiran Wang
- The Francis Crick Institute, 1 Midland Road, London, NW1 1AT, UK
- Department of Neuromuscular Diseases, Queen Square Institute of Neurology, University College London, London, WC1N 3BG, UK
| | - Jessica Li
- The Francis Crick Institute, 1 Midland Road, London, NW1 1AT, UK
- Department of Neuromuscular Diseases, Queen Square Institute of Neurology, University College London, London, WC1N 3BG, UK
| | - Marija Petrić Howe
- The Francis Crick Institute, 1 Midland Road, London, NW1 1AT, UK
- Department of Neuromuscular Diseases, Queen Square Institute of Neurology, University College London, London, WC1N 3BG, UK
| | - Rubika Balendra
- The Francis Crick Institute, 1 Midland Road, London, NW1 1AT, UK
- Department of Neuromuscular Diseases, Queen Square Institute of Neurology, University College London, London, WC1N 3BG, UK
| | - Anouk Huyghebaert
- Imperial College London, Department of Chemistry, Molecular Sciences Research Hub, 82 Wood Lane, London, W12 0BZ, UK
- Imperial College London, Institute of Chemical Biology, Molecular Sciences Research Hub, 82 Wood Lane, London, W12 0BZ, UK
| | - Devkee M Vadukul
- Imperial College London, Department of Chemistry, Molecular Sciences Research Hub, 82 Wood Lane, London, W12 0BZ, UK
| | - Diana A Tanase
- Imperial College London, Department of Chemistry, Molecular Sciences Research Hub, 82 Wood Lane, London, W12 0BZ, UK
- University of Cambridge, Department of Chemical Engineering and Biotechnology, Philippa Fawcett Drive, Cambridge, CB3 0AS, UK
| | - Thomas E Maher
- Imperial College London, Department of Chemistry, Molecular Sciences Research Hub, 82 Wood Lane, London, W12 0BZ, UK
- Imperial College London, Institute of Chemical Biology, Molecular Sciences Research Hub, 82 Wood Lane, London, W12 0BZ, UK
| | - Layla Malouf
- Imperial College London, Department of Chemistry, Molecular Sciences Research Hub, 82 Wood Lane, London, W12 0BZ, UK
- University of Cambridge, Department of Chemical Engineering and Biotechnology, Philippa Fawcett Drive, Cambridge, CB3 0AS, UK
| | - Roger Rubio-Sánchez
- University of Cambridge, Department of Chemical Engineering and Biotechnology, Philippa Fawcett Drive, Cambridge, CB3 0AS, UK
| | - Francesco A Aprile
- Imperial College London, Department of Chemistry, Molecular Sciences Research Hub, 82 Wood Lane, London, W12 0BZ, UK
- Imperial College London, Institute of Chemical Biology, Molecular Sciences Research Hub, 82 Wood Lane, London, W12 0BZ, UK
| | - Yuval Elani
- Imperial College London, Department of Chemical Engineering, South Kensington, London, SW7 2AZ, UK
| | - Rickie Patani
- The Francis Crick Institute, 1 Midland Road, London, NW1 1AT, UK.
- Department of Neuromuscular Diseases, Queen Square Institute of Neurology, University College London, London, WC1N 3BG, UK.
| | - Lorenzo Di Michele
- Imperial College London, Department of Chemistry, Molecular Sciences Research Hub, 82 Wood Lane, London, W12 0BZ, UK.
- University of Cambridge, Department of Chemical Engineering and Biotechnology, Philippa Fawcett Drive, Cambridge, CB3 0AS, UK.
| | - Marco Di Antonio
- Imperial College London, Department of Chemistry, Molecular Sciences Research Hub, 82 Wood Lane, London, W12 0BZ, UK.
- Imperial College London, Institute of Chemical Biology, Molecular Sciences Research Hub, 82 Wood Lane, London, W12 0BZ, UK.
- The Francis Crick Institute, 1 Midland Road, London, NW1 1AT, UK.
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Andersen MS, Leikfoss IS, Brorson IS, Cappelletti C, Bettencourt C, Toft M, Pihlstrøm L. Epigenome-wide association study of peripheral immune cell populations in Parkinson's disease. NPJ Parkinsons Dis 2023; 9:149. [PMID: 37903812 PMCID: PMC10616224 DOI: 10.1038/s41531-023-00594-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Accepted: 10/19/2023] [Indexed: 11/01/2023] Open
Abstract
Understanding the contribution of immune mechanisms to Parkinson's disease pathogenesis is an important challenge, potentially of major therapeutic implications. To further elucidate the involvement of peripheral immune cells, we studied epigenome-wide DNA methylation in isolated populations of CD14+ monocytes, CD19+ B cells, CD4+ T cells, and CD8+ T cells from Parkinson's disease patients and healthy control participants. We included 25 patients with a maximum five years of disease duration and 25 controls, and isolated four immune cell populations from each fresh blood sample. Epigenome-wide DNA methylation profiles were generated from 186 samples using the Illumina MethylationEpic array and association with disease status was tested using linear regression models. We identified six differentially methylated CpGs in CD14+ monocytes and one in CD8 + T cells. Four differentially methylated regions were identified in monocytes, including a region upstream of RAB32, a gene that has been linked to LRRK2. Methylation upstream of RAB32 correlated negatively with mRNA expression, and RAB32 expression was upregulated in Parkinson's disease both in our samples and in summary statistics from a previous study. Our epigenome-wide association study of early Parkinson's disease provides evidence for methylation changes across different peripheral immune cell types, highlighting monocytes and the RAB32 locus. The findings were predominantly cell-type-specific, demonstrating the value of isolating purified cell populations for genomic studies.
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Affiliation(s)
- Maren Stolp Andersen
- Department of Neurology, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | | | | | | | - Conceicao Bettencourt
- Department of Neurodegenerative Disease and Queen Square Brain Bank for Neurological Disorders, Queen Square Institute of Neurology, University College London, London, UK
| | - Mathias Toft
- Department of Neurology, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Lasse Pihlstrøm
- Department of Neurology, Oslo University Hospital, Oslo, Norway.
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7
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Shore J, Kalafatis C, Stainthorpe A, Modarres MH, Khaligh-Razavi SM. Health economic analysis of the integrated cognitive assessment tool to aid dementia diagnosis in the United Kingdom. Front Public Health 2023; 11:1240901. [PMID: 37841740 PMCID: PMC10570441 DOI: 10.3389/fpubh.2023.1240901] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Accepted: 09/18/2023] [Indexed: 10/17/2023] Open
Abstract
Objectives The aim of this study was to develop a comprehensive economic evaluation of the integrated cognitive assessment (ICA) tool compared with standard cognitive tests when used for dementia screening in primary care and for initial patient triage in memory clinics. Methods ICA was compared with standard of care comprising a mixture of cognitive assessment tools over a lifetime horizon and employing the UK health and social care perspective. The model combined a decision tree to capture the initial outcomes of the cognitive testing with a Markov structure that estimated long-term outcomes of people with dementia. Quality of life outcomes were quantified using quality-adjusted life years (QALYs), and the economic benefits were assessed using net monetary benefit (NMB). Both costs and QALYs were discounted at 3.5% per annum and cost-effectiveness was assessed using a threshold of £20,000 per QALY gained. Results ICA dominated standard cognitive assessment tools in both the primary care and memory clinic settings. Introduction of the ICA tool was estimated to result in a lifetime cost saving of approximately £123 and £226 per person in primary care and memory clinics, respectively. QALY gains associated with early diagnosis were modest (0.0016 in primary care and 0.0027 in memory clinic). The net monetary benefit (NMB) of ICA introduction was estimated at £154 in primary care and £281 in the memory clinic settings. Conclusion Introduction of ICA as a tool to screen primary care patients for dementia and perform initial triage in memory clinics could be cost saving to the UK public health and social care payer.
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Affiliation(s)
- Judith Shore
- York Health Economics Consortium, University of York, York, United Kingdom
| | - Chris Kalafatis
- Cognetivity Ltd., London, United Kingdom
- Department of Old Age Psychiatry, South London and Maudsley NHS Foundation Trust, King’s College London, London, United Kingdom
| | - Angela Stainthorpe
- York Health Economics Consortium, University of York, York, United Kingdom
| | | | - Seyed-Mahdi Khaligh-Razavi
- Cognetivity Ltd., London, United Kingdom
- Department of Stem Cells and Developmental Biology, Cell Science Research Centre, Royan Institute for Stem Cell Biology and Technology, ACECR, Tehran, Iran
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8
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Morón-Oset J, Fischer LK, Carcolé M, Giblin A, Zhang P, Isaacs AM, Grönke S, Partridge L. Toxicity of C9orf72-associated dipeptide repeat peptides is modified by commonly used protein tags. Life Sci Alliance 2023; 6:e202201739. [PMID: 37308278 PMCID: PMC10262077 DOI: 10.26508/lsa.202201739] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 06/01/2023] [Accepted: 06/03/2023] [Indexed: 06/14/2023] Open
Abstract
Hexanucleotide repeat expansions in the C9orf72 gene are the most prevalent genetic cause of amyotrophic lateral sclerosis and frontotemporal dementia. Transcripts of the expansions are translated into toxic dipeptide repeat (DPR) proteins. Most preclinical studies in cell and animal models have used protein-tagged polyDPR constructs to investigate DPR toxicity but the effects of tags on DPR toxicity have not been systematically explored. Here, we used Drosophila to assess the influence of protein tags on DPR toxicity. Tagging of 36 but not 100 arginine-rich DPRs with mCherry increased toxicity, whereas adding mCherry or GFP to GA100 completely abolished toxicity. FLAG tagging also reduced GA100 toxicity but less than the longer fluorescent tags. Expression of untagged but not GFP- or mCherry-tagged GA100 caused DNA damage and increased p62 levels. Fluorescent tags also affected GA100 stability and degradation. In summary, protein tags affect DPR toxicity in a tag- and DPR-dependent manner, and GA toxicity might be underestimated in studies using tagged GA proteins. Thus, including untagged DPRs as controls is important when assessing DPR toxicity in preclinical models.
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Affiliation(s)
| | | | - Mireia Carcolé
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
- UK Dementia Research Institute at UCL, UCL Queen Square Institute of Neurology, London, UK
| | - Ashling Giblin
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
- UK Dementia Research Institute at UCL, UCL Queen Square Institute of Neurology, London, UK
- Department of Genetics, Evolution and Environment, Institute of Healthy Ageing, University College London, London, UK
| | - Pingze Zhang
- Max Planck Institute for Biology of Ageing, Cologne, Germany
| | - Adrian M Isaacs
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
- UK Dementia Research Institute at UCL, UCL Queen Square Institute of Neurology, London, UK
| | | | - Linda Partridge
- Max Planck Institute for Biology of Ageing, Cologne, Germany
- Department of Genetics, Evolution and Environment, Institute of Healthy Ageing, University College London, London, UK
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9
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Balendra R, Ruiz de Los Mozos I, Odeh HM, Glaria I, Milioto C, Wilson KM, Ule AM, Hallegger M, Masino L, Martin S, Patani R, Shorter J, Ule J, Isaacs AM. Transcriptome-wide RNA binding analysis of C9orf72 poly(PR) dipeptides. Life Sci Alliance 2023; 6:e202201824. [PMID: 37438085 PMCID: PMC10338859 DOI: 10.26508/lsa.202201824] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Revised: 06/25/2023] [Accepted: 06/26/2023] [Indexed: 07/14/2023] Open
Abstract
An intronic GGGGCC repeat expansion in C9orf72 is a common genetic cause of amyotrophic lateral sclerosis and frontotemporal dementia. The repeats are transcribed in both sense and antisense directions to generate distinct dipeptide repeat proteins, of which poly(GA), poly(GR), and poly(PR) have been implicated in contributing to neurodegeneration. Poly(PR) binding to RNA may contribute to toxicity, but analysis of poly(PR)-RNA binding on a transcriptome-wide scale has not yet been carried out. We therefore performed crosslinking and immunoprecipitation (CLIP) analysis in human cells to identify the RNA binding sites of poly(PR). We found that poly(PR) binds to nearly 600 RNAs, with the sequence GAAGA enriched at the binding sites. In vitro experiments showed that poly(GAAGA) RNA binds poly(PR) with higher affinity than control RNA and induces the phase separation of poly(PR) into condensates. These data indicate that poly(PR) preferentially binds to poly(GAAGA)-containing RNAs, which may have physiological consequences.
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Affiliation(s)
- Rubika Balendra
- UK Dementia Research Institute at UCL, London, UK
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Igor Ruiz de Los Mozos
- The Francis Crick Institute, London, UK
- Department of Personalized Medicine, NASERTIC, Government of Navarra, Pamplona, Spain
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, UK
| | - Hana M Odeh
- Department of Biochemistry and Biophysics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Idoia Glaria
- UK Dementia Research Institute at UCL, London, UK
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
- Research Support Service, Institute of Agrobiotechnology, CSIC-Government of Navarra, Mutilva, Spain
| | - Carmelo Milioto
- UK Dementia Research Institute at UCL, London, UK
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Katherine M Wilson
- UK Dementia Research Institute at UCL, London, UK
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Agnieszka M Ule
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, UK
| | | | - Laura Masino
- Structural Biology Science Technology Platform, The Francis Crick Institute, London, UK
| | - Stephen Martin
- Structural Biology Science Technology Platform, The Francis Crick Institute, London, UK
| | - Rickie Patani
- The Francis Crick Institute, London, UK
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, UK
| | - James Shorter
- Department of Biochemistry and Biophysics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Jernej Ule
- The Francis Crick Institute, London, UK
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, UK
- UK Dementia Research Institute at King's College London, Maurice Wohl Clinical Neuroscience Institute, London, UK
| | - Adrian M Isaacs
- UK Dementia Research Institute at UCL, London, UK
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
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10
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McKay NS, Gordon BA, Hornbeck RC, Dincer A, Flores S, Keefe SJ, Joseph-Mathurin N, Jack CR, Koeppe R, Millar PR, Ances BM, Chen CD, Daniels A, Hobbs DA, Jackson K, Koudelis D, Massoumzadeh P, McCullough A, Nickels ML, Rahmani F, Swisher L, Wang Q, Allegri RF, Berman SB, Brickman AM, Brooks WS, Cash DM, Chhatwal JP, Day GS, Farlow MR, la Fougère C, Fox NC, Fulham M, Ghetti B, Graff-Radford N, Ikeuchi T, Klunk W, Lee JH, Levin J, Martins R, Masters CL, McConathy J, Mori H, Noble JM, Reischl G, Rowe C, Salloway S, Sanchez-Valle R, Schofield PR, Shimada H, Shoji M, Su Y, Suzuki K, Vöglein J, Yakushev I, Cruchaga C, Hassenstab J, Karch C, McDade E, Perrin RJ, Xiong C, Morris JC, Bateman RJ, Benzinger TLS. Positron emission tomography and magnetic resonance imaging methods and datasets within the Dominantly Inherited Alzheimer Network (DIAN). Nat Neurosci 2023; 26:1449-1460. [PMID: 37429916 PMCID: PMC10400428 DOI: 10.1038/s41593-023-01359-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Accepted: 05/15/2023] [Indexed: 07/12/2023]
Abstract
The Dominantly Inherited Alzheimer Network (DIAN) is an international collaboration studying autosomal dominant Alzheimer disease (ADAD). ADAD arises from mutations occurring in three genes. Offspring from ADAD families have a 50% chance of inheriting their familial mutation, so non-carrier siblings can be recruited for comparisons in case-control studies. The age of onset in ADAD is highly predictable within families, allowing researchers to estimate an individual's point in the disease trajectory. These characteristics allow candidate AD biomarker measurements to be reliably mapped during the preclinical phase. Although ADAD represents a small proportion of AD cases, understanding neuroimaging-based changes that occur during the preclinical period may provide insight into early disease stages of 'sporadic' AD also. Additionally, this study provides rich data for research in healthy aging through inclusion of the non-carrier controls. Here we introduce the neuroimaging dataset collected and describe how this resource can be used by a range of researchers.
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Affiliation(s)
| | | | | | - Aylin Dincer
- Washington University in St. Louis, St. Louis, MO, USA
| | - Shaney Flores
- Washington University in St. Louis, St. Louis, MO, USA
| | - Sarah J Keefe
- Washington University in St. Louis, St. Louis, MO, USA
| | | | | | | | | | - Beau M Ances
- Washington University in St. Louis, St. Louis, MO, USA
| | | | | | - Diana A Hobbs
- Washington University in St. Louis, St. Louis, MO, USA
| | | | | | | | | | | | | | - Laura Swisher
- Washington University in St. Louis, St. Louis, MO, USA
| | - Qing Wang
- Washington University in St. Louis, St. Louis, MO, USA
| | | | | | - Adam M Brickman
- Columbia University Irving Medical Center, New York, NY, USA
| | - William S Brooks
- Neuroscience Research Australia, Sydney, New South Wales, Australia
| | - David M Cash
- UK Dementia Research Institute at University College London, London, UK
- University College London, London, UK
| | - Jasmeer P Chhatwal
- Massachusetts General and Brigham & Women's Hospitals, Harvard Medical School, Boston, MA, USA
| | | | | | - Christian la Fougère
- Department of Radiology, University of Tübingen, Tübingen, Germany
- German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
| | - Nick C Fox
- UK Dementia Research Institute at University College London, London, UK
- University College London, London, UK
| | - Michael Fulham
- Royal Prince Alfred Hospital, Sydney, New South Wales, Australia
| | | | | | | | | | | | - Johannes Levin
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
| | - Ralph Martins
- Edith Cowan University, Joondalup, Western Australia, Australia
| | | | | | | | - James M Noble
- Columbia University Irving Medical Center, New York, NY, USA
| | - Gerald Reischl
- Department of Radiology, University of Tübingen, Tübingen, Germany
| | | | | | - Raquel Sanchez-Valle
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic de Barcelona, IDIBAPS, University of Barcelona, Barcelona, Spain
| | - Peter R Schofield
- Neuroscience Research Australia, Sydney, New South Wales, Australia
- School of Biomedical Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | | | | | - Yi Su
- Banner Alzheimer's Institute, Phoenix, AZ, USA
| | | | - Jonathan Vöglein
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
- Department of Neurology, Ludwig-Maximilians-Universität München, München, Germany
| | - Igor Yakushev
- School of Medicine, Technical University of Munich, Munich, Germany
| | | | | | - Celeste Karch
- Washington University in St. Louis, St. Louis, MO, USA
| | - Eric McDade
- Washington University in St. Louis, St. Louis, MO, USA
| | | | | | - John C Morris
- Washington University in St. Louis, St. Louis, MO, USA
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11
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Leng F, Hinz R, Gentleman S, Hampshire A, Dani M, Brooks DJ, Edison P. Neuroinflammation is independently associated with brain network dysfunction in Alzheimer's disease. Mol Psychiatry 2023; 28:1303-1311. [PMID: 36474000 PMCID: PMC10005956 DOI: 10.1038/s41380-022-01878-z] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Revised: 09/17/2022] [Accepted: 11/08/2022] [Indexed: 12/12/2022]
Abstract
Brain network dysfunction is increasingly recognised in Alzheimer's disease (AD). However, the causes of brain connectivity disruption are still poorly understood. Recently, neuroinflammation has been identified as an important factor in AD pathogenesis. Microglia participate in the construction and maintenance of healthy neuronal networks, but pro-inflammatory microglia can also damage these circuits. We hypothesised that microglial activation is independently associated with brain connectivity disruption in AD. We performed a cross-sectional multimodal imaging study and interrogated the relationship between imaging biomarkers of neuroinflammation, Aβ deposition, brain connectivity and cognition. 42 participants (12 Aβ-positive MCI, 14 Aβ-positive AD and 16 Aβ-negative healthy controls) were recruited. Participants had 11C-PBR28 and 18F-flutemetamol PET to quantify Aβ deposition and microglial activation, T1-weighted, diffusion tensor and resting-state functional MRI to assess structural network and functional network. 11C-PBR28 uptake, structural network integrity and functional network orgnisation were compared across diagnostic groups and the relationship between neuroinflammation and brain network was tested in 26 Aβ-positive patients. Increased 11C-PBR28 uptake, decreased FA, network small-worldness and local efficiency were observed in AD patients. Cortical 11C-PBR28 uptake correlated negatively with structural integrity (standardised β = -0.375, p = 0.037) and network local efficiency (standardised β = -0.468, p < 0.001), independent of cortical thickness and Aβ deposition, while Aβ was not. Network structural integrity, small-worldness and local efficiency, and cortical thickness were positively associated with cognition. Our findings suggest cortical neuroinflammation coincide with structural and functional network disruption independent of Aβ and cortical atrophy. These findings link the brain connectivity change and pathological process in Alzheimer's disease, and suggest a pathway from neuroinflammation to systemic brain dysfunction.
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Affiliation(s)
- Fangda Leng
- Department of Brain Sciences, Imperial College London, London, UK
- Department of Neurology, Peking University First Hospital, Beijing, PR China
| | - Rainer Hinz
- Wolfson Molecular Imaging Centre, University of Manchester, Manchester, UK
| | - Steve Gentleman
- Department of Brain Sciences, Imperial College London, London, UK
| | - Adam Hampshire
- Department of Brain Sciences, Imperial College London, London, UK
| | - Melanie Dani
- Department of Brain Sciences, Imperial College London, London, UK
| | - David J Brooks
- Department of Brain Sciences, Imperial College London, London, UK
- Institute of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Institute of Translational and Clinical Research, University of Newcastle upon Tyne, Newcastle, UK
| | - Paul Edison
- Department of Brain Sciences, Imperial College London, London, UK.
- School of Medicine, Cardiff University, Wales, UK.
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12
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Coutrot A, Lazar AS, Richards M, Manley E, Wiener JM, Dalton RC, Hornberger M, Spiers HJ. Reported sleep duration reveals segmentation of the adult life-course into three phases. Nat Commun 2022; 13:7697. [PMID: 36509747 PMCID: PMC9744828 DOI: 10.1038/s41467-022-34624-8] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Accepted: 11/01/2022] [Indexed: 12/15/2022] Open
Abstract
Classically the human life-course is characterized by youth, middle age and old age. A wide range of biological, health and cognitive functions vary across this life-course. Here, using reported sleep duration from 730,187 participants across 63 countries, we find three distinct phases in the adult human life-course: early adulthood (19-33yrs), mid-adulthood (34-53yrs), and late adulthood (54+yrs). They appear stable across culture, gender, education and other demographics. During the third phase, where self-reported sleep duration increases with age, cognitive performance, as measured by spatial navigation, was found to have an inverted u-shape relationship with reported sleep duration: optimal performance peaks at 7 hours reported sleep. World-wide self-reported sleep duration patterns are geographically clustered, and are associated with economy, culture, and latitude.
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Affiliation(s)
- A Coutrot
- LIRIS-CNRS-University of Lyon, Lyon, France.
| | - A S Lazar
- Norwich Medical School, University of East Anglia, Norwich, UK
| | - M Richards
- Unit for Lifelong Health and Ageing, University College London, London, UK
| | - E Manley
- School of Geography, University of Leeds, Leeds, UK
| | - J M Wiener
- Department of Psychology, Bournemouth University, Poole, UK
| | - R C Dalton
- School of Architecture, Lancaster University, Lancaster, UK
| | - M Hornberger
- Norwich Medical School, University of East Anglia, Norwich, UK.
| | - H J Spiers
- Institute of Behavioural Neuroscience, University College London, London, UK.
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13
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Choi ML, Chappard A, Singh BP, Maclachlan C, Rodrigues M, Fedotova EI, Berezhnov AV, De S, Peddie CJ, Athauda D, Virdi GS, Zhang W, Evans JR, Wernick AI, Zanjani ZS, Angelova PR, Esteras N, Vinokurov AY, Morris K, Jeacock K, Tosatto L, Little D, Gissen P, Clarke DJ, Kunath T, Collinson L, Klenerman D, Abramov AY, Horrocks MH, Gandhi S. Pathological structural conversion of α-synuclein at the mitochondria induces neuronal toxicity. Nat Neurosci 2022; 25:1134-1148. [PMID: 36042314 PMCID: PMC9448679 DOI: 10.1038/s41593-022-01140-3] [Citation(s) in RCA: 62] [Impact Index Per Article: 31.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Accepted: 07/12/2022] [Indexed: 11/08/2022]
Abstract
Aggregation of alpha-synuclein (α-Syn) drives Parkinson's disease (PD), although the initial stages of self-assembly and structural conversion have not been directly observed inside neurons. In this study, we tracked the intracellular conformational states of α-Syn using a single-molecule Förster resonance energy transfer (smFRET) biosensor, and we show here that α-Syn converts from a monomeric state into two distinct oligomeric states in neurons in a concentration-dependent and sequence-specific manner. Three-dimensional FRET-correlative light and electron microscopy (FRET-CLEM) revealed that intracellular seeding events occur preferentially on membrane surfaces, especially at mitochondrial membranes. The mitochondrial lipid cardiolipin triggers rapid oligomerization of A53T α-Syn, and cardiolipin is sequestered within aggregating lipid-protein complexes. Mitochondrial aggregates impair complex I activity and increase mitochondrial reactive oxygen species (ROS) generation, which accelerates the oligomerization of A53T α-Syn and causes permeabilization of mitochondrial membranes and cell death. These processes were also observed in induced pluripotent stem cell (iPSC)-derived neurons harboring A53T mutations from patients with PD. Our study highlights a mechanism of de novo α-Syn oligomerization at mitochondrial membranes and subsequent neuronal toxicity.
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Affiliation(s)
- Minee L Choi
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, UK
- The Francis Crick Institute, London, UK
- Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, USA
| | | | - Bhanu P Singh
- EaStCHEM School of Chemistry, University of Edinburgh, Edinburgh, UK
- School of Physics, University of Edinburgh, Edinburgh, UK
| | | | - Margarida Rodrigues
- Department of Chemistry, University of Cambridge, Cambridge, UK
- Dementia Research institute at University of Cambridge, Cambridge, UK
| | - Evgeniya I Fedotova
- Institute of Cell Biophysics, Russian Academy of Sciences, Pushchino, Russia
- Cell Physiology and Pathology Laboratory, Orel State University, Orel, Russia
| | - Alexey V Berezhnov
- Institute of Cell Biophysics, Russian Academy of Sciences, Pushchino, Russia
- Cell Physiology and Pathology Laboratory, Orel State University, Orel, Russia
| | - Suman De
- Department of Chemistry, University of Cambridge, Cambridge, UK
- Dementia Research institute at University of Cambridge, Cambridge, UK
| | | | - Dilan Athauda
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, UK
- The Francis Crick Institute, London, UK
| | - Gurvir S Virdi
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, UK
- The Francis Crick Institute, London, UK
- Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, USA
| | - Weijia Zhang
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, UK
- The Francis Crick Institute, London, UK
| | - James R Evans
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, UK
- The Francis Crick Institute, London, UK
- Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, USA
| | - Anna I Wernick
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, UK
- The Francis Crick Institute, London, UK
- Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, USA
| | - Zeinab Shadman Zanjani
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, UK
- The Francis Crick Institute, London, UK
- Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, USA
| | - Plamena R Angelova
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, UK
| | - Noemi Esteras
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, UK
| | - Andrey Y Vinokurov
- Cell Physiology and Pathology Laboratory, Orel State University, Orel, Russia
| | - Katie Morris
- EaStCHEM School of Chemistry, University of Edinburgh, Edinburgh, UK
| | - Kiani Jeacock
- EaStCHEM School of Chemistry, University of Edinburgh, Edinburgh, UK
| | - Laura Tosatto
- Department of Chemistry, University of Cambridge, Cambridge, UK
- Istituto di Biofisica, National Council of Research, Trento, Italy
| | - Daniel Little
- MRC Laboratory for Molecular Cell Biology, University College London, London, UK
- NIHR Great Ormond Street Hospital Biomedical Research Centre, London, UK
| | - Paul Gissen
- MRC Laboratory for Molecular Cell Biology, University College London, London, UK
- NIHR Great Ormond Street Hospital Biomedical Research Centre, London, UK
| | - David J Clarke
- EaStCHEM School of Chemistry, University of Edinburgh, Edinburgh, UK
| | - Tilo Kunath
- Centre for Regenerative Medicine, Institute for Stem Cell Research, School of Biological Sciences, University of Edinburgh, Edinburgh, UK
| | | | - David Klenerman
- Department of Chemistry, University of Cambridge, Cambridge, UK
- Dementia Research institute at University of Cambridge, Cambridge, UK
| | - Andrey Y Abramov
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, UK.
- Cell Physiology and Pathology Laboratory, Orel State University, Orel, Russia.
| | - Mathew H Horrocks
- EaStCHEM School of Chemistry, University of Edinburgh, Edinburgh, UK.
| | - Sonia Gandhi
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, UK.
- The Francis Crick Institute, London, UK.
- Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, USA.
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14
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Bhome R, Zarkali A, Thomas GEC, Iglesias JE, Cole JH, Weil RS. Thalamic white matter macrostructure and subnuclei volumes in Parkinson's disease depression. NPJ Parkinsons Dis 2022; 8:2. [PMID: 35013327 PMCID: PMC8748828 DOI: 10.1038/s41531-021-00270-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2021] [Accepted: 12/20/2021] [Indexed: 12/04/2022] Open
Abstract
Depression is a common non-motor feature of Parkinson's disease (PD) which confers significant morbidity and is challenging to treat. The thalamus is a key component in the basal ganglia-thalamocortical network critical to the pathogenesis of PD and depression but the precise thalamic subnuclei involved in PD depression have not been identified. We performed structural and diffusion-weighted imaging (DWI) on 76 participants with PD to evaluate the relationship between PD depression and grey and white matter thalamic subnuclear changes. We used a thalamic segmentation method to divide the thalamus into its 50 constituent subnuclei (25 each hemisphere). Fixel-based analysis was used to calculate mean fibre cross-section (FC) for white matter tracts connected to each subnucleus. We assessed volume and FC at baseline and 14-20 months follow-up. A generalised linear mixed model was used to evaluate the relationship between depression, subnuclei volume and mean FC for each thalamic subnucleus. We found that depression scores in PD were associated with lower right pulvinar anterior (PuA) subnucleus volume. Antidepressant use was associated with higher right PuA volume suggesting a possible protective effect of treatment. After follow-up, depression scores were associated with reduced white matter tract macrostructure across almost all tracts connected to thalamic subnuclei. In conclusion, our work implicates the right PuA as a relevant neural structure in PD depression and future work should evaluate its potential as a therapeutic target for PD depression.
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Affiliation(s)
- R Bhome
- Dementia Research Centre, University College London, London, UK.
| | - A Zarkali
- Dementia Research Centre, University College London, London, UK
| | - G E C Thomas
- Dementia Research Centre, University College London, London, UK
| | - J E Iglesias
- Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK
- Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Cambridge, USA
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, USA
| | - J H Cole
- Dementia Research Centre, University College London, London, UK
- Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK
| | - R S Weil
- Dementia Research Centre, University College London, London, UK
- Wellcome Centre for Human Neuroimaging, University College London, London, UK
- Movement Disorders Consortium, National Hospital for Neurology and Neurosurgery, London, UK
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15
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Kopach O, Esteras N, Wray S, Abramov AY, Rusakov DA. Genetically engineered MAPT 10+16 mutation causes pathophysiological excitability of human iPSC-derived neurons related to 4R tau-induced dementia. Cell Death Dis 2021; 12:716. [PMID: 34274950 PMCID: PMC8286258 DOI: 10.1038/s41419-021-04007-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Revised: 07/07/2021] [Accepted: 07/08/2021] [Indexed: 01/02/2023]
Abstract
Human iPSC lines represent a powerful translational model of tauopathies. We have recently described a pathophysiological phenotype of neuronal excitability of human cells derived from the patients with familial frontotemporal dementia and parkinsonism (FTDP-17) caused by the MAPT 10+16 splice-site mutation. This mutation leads to the increased splicing of 4R tau isoforms. However, the role of different isoforms of tau protein in initiating neuronal dementia-related dysfunction, and the causality between the MAPT 10+16 mutation and altered neuronal activity have remained unclear. Here, we employed genetically engineered cells, in which the IVS10+16 mutation was introduced into healthy donor iPSCs to increase the expression of 4R tau isoform in exon 10, aiming to explore key physiological traits of iPSC-derived MAPT IVS10+16 neurons using patch-clamp electrophysiology and multiphoton fluorescent imaging techniques. We found that during late in vitro neurogenesis (from ~180 to 230 days) iPSC-derived cortical neurons of the control group (parental wild-type tau) exhibited membrane properties compatible with "mature" neurons. In contrast, MAPT IVS10+16 neurons displayed impaired excitability, as reflected by a depolarized resting membrane potential, an increased input resistance, and reduced voltage-gated Na+- and K+-channel-mediated currents. The mutation changed the channel properties of fast-inactivating Nav and decreased the Nav1.6 protein level. MAPT IVS10+16 neurons exhibited reduced firing accompanied by a changed action potential waveform and severely disturbed intracellular Ca2+ dynamics, both in the soma and dendrites, upon neuronal depolarization. These results unveil a causal link between the MAPT 10+16 mutation, hence overproduction of 4R tau, and a dysfunction of human cells, identifying a biophysical basis of changed neuronal activity in 4R tau-triggered dementia. Our study lends further support to using iPSC lines as a suitable platform for modelling tau-induced human neuropathology in vitro.
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Affiliation(s)
- Olga Kopach
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK.
| | - Noemí Esteras
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, UK
| | - Selina Wray
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Andrey Y Abramov
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, UK
| | - Dmitri A Rusakov
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK
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16
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Tanudjojo B, Shaikh SS, Fenyi A, Bousset L, Agarwal D, Marsh J, Zois C, Heman-Ackah S, Fischer R, Sims D, Melki R, Tofaris GK. Phenotypic manifestation of α-synuclein strains derived from Parkinson's disease and multiple system atrophy in human dopaminergic neurons. Nat Commun 2021; 12:3817. [PMID: 34155194 PMCID: PMC8217249 DOI: 10.1038/s41467-021-23682-z] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Accepted: 05/11/2021] [Indexed: 02/05/2023] Open
Abstract
α-Synuclein is critical in the pathogenesis of Parkinson's disease and related disorders, yet it remains unclear how its aggregation causes degeneration of human dopaminergic neurons. In this study, we induced α-synuclein aggregation in human iPSC-derived dopaminergic neurons using fibrils generated de novo or amplified in the presence of brain homogenates from Parkinson's disease or multiple system atrophy. Increased α-synuclein monomer levels promote seeded aggregation in a dose and time-dependent manner, which is associated with a further increase in α-synuclein gene expression. Progressive neuronal death is observed with brain-amplified fibrils and reversed by reduction of intraneuronal α-synuclein abundance. We identified 56 proteins differentially interacting with aggregates triggered by brain-amplified fibrils, including evasion of Parkinson's disease-associated deglycase DJ-1. Knockout of DJ-1 in iPSC-derived dopaminergic neurons enhance fibril-induced aggregation and neuronal death. Taken together, our results show that the toxicity of α-synuclein strains depends on aggregate burden, which is determined by monomer levels and conformation which dictates differential interactomes. Our study demonstrates how Parkinson's disease-associated genes influence the phenotypic manifestation of strains in human neurons.
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Affiliation(s)
- Benedict Tanudjojo
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Samiha S Shaikh
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Alexis Fenyi
- CEA, Institut François Jacob (MIRCen) and CNRS, Laboratory of Neurodegenerative Diseases, Fontenay-aux-Roses, France
| | - Luc Bousset
- CEA, Institut François Jacob (MIRCen) and CNRS, Laboratory of Neurodegenerative Diseases, Fontenay-aux-Roses, France
| | - Devika Agarwal
- MRC Centre for Computational Biology, University of Oxford, Oxford, UK
- MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Jade Marsh
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Christos Zois
- MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Sabrina Heman-Ackah
- Department of Neurosurgery, University of Pennsylvania, Philadelphia, PA, USA
| | - Roman Fischer
- Target Discovery Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - David Sims
- MRC Centre for Computational Biology, University of Oxford, Oxford, UK
- MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Ronald Melki
- CEA, Institut François Jacob (MIRCen) and CNRS, Laboratory of Neurodegenerative Diseases, Fontenay-aux-Roses, France
| | - George K Tofaris
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
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17
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Dallas ML, Al-Owais MM, Hettiarachchi NT, Vandiver MS, Jarosz-Griffiths HH, Scragg JL, Boyle JP, Steele D, Peers C. Hydrogen sulfide regulates hippocampal neuron excitability via S-sulfhydration of Kv2.1. Sci Rep 2021; 11:8194. [PMID: 33854181 PMCID: PMC8046973 DOI: 10.1038/s41598-021-87646-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2019] [Accepted: 03/31/2021] [Indexed: 02/02/2023] Open
Abstract
Hydrogen sulfide (H2S) is gaining interest as a mammalian signalling molecule with wide ranging effects. S-sulfhydration is one mechanism that is emerging as a key post translational modification through which H2S acts. Ion channels and neuronal receptors are key target proteins for S-sulfhydration and this can influence a range of neuronal functions. Voltage-gated K+ channels, including Kv2.1, are fundamental components of neuronal excitability. Here, we show that both recombinant and native rat Kv2.1 channels are inhibited by the H2S donors, NaHS and GYY4137. Biochemical investigations revealed that NaHS treatment leads to S-sulfhydration of the full length wild type Kv2.1 protein which was absent (as was functional regulation by H2S) in the C73A mutant form of the channel. Functional experiments utilising primary rat hippocampal neurons indicated that NaHS augments action potential firing and thereby increases neuronal excitability. These studies highlight an important role for H2S in shaping cellular excitability through S-sulfhydration of Kv2.1 at C73 within the central nervous system.
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Affiliation(s)
- Mark L Dallas
- Reading School of Pharmacy, University of Reading, Reading, RG6 6UB, UK.
| | - Moza M Al-Owais
- Division of Cardiovascular and Diabetes Research, LIGHT, Faculty of Medicine and Health, University of Leeds, Leeds, LS2 9JT, UK.
- School of Biomedical Sciences, Faculty of Biological Sciences, University of Leeds, Leeds, LS2 9JT, UK.
| | - Nishani T Hettiarachchi
- Division of Cardiovascular and Diabetes Research, LIGHT, Faculty of Medicine and Health, University of Leeds, Leeds, LS2 9JT, UK
| | - Matthew Scott Vandiver
- Department of Neuroscience, John's Hopkins University School of Medicine, Baltimore, USA
| | | | - Jason L Scragg
- Division of Cardiovascular and Diabetes Research, LIGHT, Faculty of Medicine and Health, University of Leeds, Leeds, LS2 9JT, UK
| | - John P Boyle
- Division of Cardiovascular and Diabetes Research, LIGHT, Faculty of Medicine and Health, University of Leeds, Leeds, LS2 9JT, UK
| | - Derek Steele
- School of Biomedical Sciences, Faculty of Biological Sciences, University of Leeds, Leeds, LS2 9JT, UK
| | - Chris Peers
- Reading School of Pharmacy, University of Reading, Reading, RG6 6UB, UK
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18
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Zarkali A, McColgan P, Leyland LA, Lees AJ, Rees G, Weil RS. Organisational and neuromodulatory underpinnings of structural-functional connectivity decoupling in patients with Parkinson's disease. Commun Biol 2021; 4:86. [PMID: 33469150 PMCID: PMC7815846 DOI: 10.1038/s42003-020-01622-9] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Accepted: 12/18/2020] [Indexed: 01/01/2023] Open
Abstract
Parkinson's dementia is characterised by changes in perception and thought, and preceded by visual dysfunction, making this a useful surrogate for dementia risk. Structural and functional connectivity changes are seen in humans with Parkinson's disease, but the organisational principles are not known. We used resting-state fMRI and diffusion-weighted imaging to examine changes in structural-functional connectivity coupling in patients with Parkinson's disease, and those at risk of dementia. We identified two organisational gradients to structural-functional connectivity decoupling: anterior-to-posterior and unimodal-to-transmodal, with stronger structural-functional connectivity coupling in anterior, unimodal areas and weakened towards posterior, transmodal regions. Next, we related spatial patterns of decoupling to expression of neurotransmitter receptors. We found that dopaminergic and serotonergic transmission relates to decoupling in Parkinson's overall, but instead, serotonergic, cholinergic and noradrenergic transmission relates to decoupling in patients with visual dysfunction. Our findings provide a framework to explain the specific disorders of consciousness in Parkinson's dementia, and the neurotransmitter systems that underlie these.
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Affiliation(s)
- Angeliki Zarkali
- Dementia Research Centre, University College London, 8-11 Queen Square, London, WC1N 3AR, UK.
| | - Peter McColgan
- Huntington's Disease Centre, University College London, Russell Square House, London, WC1B 5EH, UK
| | - Louise-Ann Leyland
- Dementia Research Centre, University College London, 8-11 Queen Square, London, WC1N 3AR, UK
| | - Andrew J Lees
- Reta Lila Weston Institute of Neurological Studies, 1 Wakefield Street, London, WC1N 1PJ, UK
| | - Geraint Rees
- Institute of Cognitive Neuroscience, University College London, 17-19 Queen Square, London, WC1N 3AR, UK
- Wellcome Centre for Human Neuroimaging, University College London, 12 Queen Square, London, WC1N 3AR, UK
| | - Rimona S Weil
- Dementia Research Centre, University College London, 8-11 Queen Square, London, WC1N 3AR, UK
- Wellcome Centre for Human Neuroimaging, University College London, 12 Queen Square, London, WC1N 3AR, UK
- Movement Disorders Consortium, University College London, London, WC1N 3BG, UK
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19
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Zhang Q, Sidorenko J, Couvy-Duchesne B, Marioni RE, Wright MJ, Goate AM, Marcora E, Huang KL, Porter T, Laws SM, Sachdev PS, Mather KA, Armstrong NJ, Thalamuthu A, Brodaty H, Yengo L, Yang J, Wray NR, McRae AF, Visscher PM. Risk prediction of late-onset Alzheimer's disease implies an oligogenic architecture. Nat Commun 2020; 11:4799. [PMID: 32968074 PMCID: PMC7511365 DOI: 10.1038/s41467-020-18534-1] [Citation(s) in RCA: 83] [Impact Index Per Article: 20.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Accepted: 08/25/2020] [Indexed: 01/09/2023] Open
Abstract
Genetic association studies have identified 44 common genome-wide significant risk loci for late-onset Alzheimer's disease (LOAD). However, LOAD genetic architecture and prediction are unclear. Here we estimate the optimal P-threshold (Poptimal) of a genetic risk score (GRS) for prediction of LOAD in three independent datasets comprising 676 cases and 35,675 family history proxy cases. We show that the discriminative ability of GRS in LOAD prediction is maximised when selecting a small number of SNPs. Both simulation results and direct estimation indicate that the number of causal common SNPs for LOAD may be less than 100, suggesting LOAD is more oligogenic than polygenic. The best GRS explains approximately 75% of SNP-heritability, and individuals in the top decile of GRS have ten-fold increased odds when compared to those in the bottom decile. In addition, 14 variants are identified that contribute to both LOAD risk and age at onset of LOAD.
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Affiliation(s)
- Qian Zhang
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, 4072, Australia
| | - Julia Sidorenko
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, 4072, Australia
| | - Baptiste Couvy-Duchesne
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, 4072, Australia
| | - Riccardo E Marioni
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, EH4 2XU, UK
| | - Margaret J Wright
- Queensland Brain Institute, The University of Queensland, St Lucia, QLD, 4072, Australia
- Centre for Advanced Imaging, The University of Queensland, St Lucia, QLD, 4072, Australia
| | - Alison M Goate
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Edoardo Marcora
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Kuan-Lin Huang
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Tenielle Porter
- Collaborative Genomics Group, Centre of Excellence for Alzheimer's Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
| | - Simon M Laws
- Collaborative Genomics Group, Centre of Excellence for Alzheimer's Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
- School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences, Curtin Health Innovation Research Institute, Curtin University, Bentley, WA, Australia
| | - Perminder S Sachdev
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
- Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, NSW, Australia
| | - Karen A Mather
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
- Neuroscience Research Australia, Sydney, NSW, Australia
| | - Nicola J Armstrong
- Department of Mathematics and Statistics, Murdoch University, Perth, WA, Australia
| | - Anbupalam Thalamuthu
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
- Neuroscience Research Australia, Sydney, NSW, Australia
| | - Henry Brodaty
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
- Dementia Centre for Research Collaboration, University of New South Wales, Sydney, NSW, Australia
| | - Loic Yengo
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, 4072, Australia
| | - Jian Yang
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, 4072, Australia
| | - Naomi R Wray
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, 4072, Australia
- Queensland Brain Institute, The University of Queensland, St Lucia, QLD, 4072, Australia
| | - Allan F McRae
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, 4072, Australia
| | - Peter M Visscher
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, 4072, Australia.
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20
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Amin J, Holmes C, Dorey RB, Tommasino E, Casal YR, Williams DM, Dupuy C, Nicoll JAR, Boche D. Neuroinflammation in dementia with Lewy bodies: a human post-mortem study. Transl Psychiatry 2020; 10:267. [PMID: 32747635 PMCID: PMC7400566 DOI: 10.1038/s41398-020-00954-8] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Revised: 07/07/2020] [Accepted: 07/22/2020] [Indexed: 11/24/2022] Open
Abstract
Dementia with Lewy bodies (DLB) is the second most common neurodegenerative cause of dementia, behind Alzheimer's disease (AD). It is now established that cerebral inflammation has a key role in the aetiology and progression of AD, but this has yet to be confirmed in DLB. We aimed to determine the neuroinflammatory profile in the cerebral cortex of a large cohort of DLB cases. Thirty post-mortem confirmed DLB cases and twenty-nine matched controls were immunolabelled (Brodmann area 21) and quantified for: neuropathology-αSYN, Aβ, P-tau; microglial phenotype-Iba1, HLA-DR, CD68, FcƴR (CD64, CD32a, CD32b, CD16); presence of T lymphocytes-CD3; and anti-inflammatory markers-IL4R, CHI3L1. Status spongiosis, as a marker of neuropil degeneration, was quantified using Haematoxylin and Eosin staining. We found no significant difference between groups in protein load for Iba1, HLA-DR, CD68, CD64, CD32b, IL4R, or CHI3L1, despite increased neuropathology in DLB. CD32a load was significantly lower, and CD16 load higher, in DLB compared with controls. There was no difference in status spongiosis between groups. Significantly more DLB cases than controls showed T-lymphocyte recruitment. Overall, we conclude that microglial activation is not a prominent feature of DLB, and that this may be associated with the relatively modest neuropil degeneration observed in DLB. Our findings, based on the largest post-mortem cohort to date exploring neuroinflammation in DLB, demonstrate a dissociation between protein deposition, neurodegeneration and microglial activation. The relative preservation of cortical structures in DLB suggests the dementia could be more amenable to potential therapies.
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Affiliation(s)
- Jay Amin
- Clinical Neurosciences, Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
- Memory Assessment and Research Centre, Moorgreen Hospital, Southern Health NHS Foundation Trust, Southampton, UK
| | - Clive Holmes
- Clinical Neurosciences, Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
- Memory Assessment and Research Centre, Moorgreen Hospital, Southern Health NHS Foundation Trust, Southampton, UK
| | - Robert B Dorey
- Clinical Neurosciences, Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Emanuele Tommasino
- Clinical Neurosciences, Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Yuri R Casal
- Clinical Neurosciences, Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Daisy M Williams
- Clinical Neurosciences, Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Charles Dupuy
- Clinical Neurosciences, Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - James A R Nicoll
- Clinical Neurosciences, Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
- Department of Cellular Pathology, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Delphine Boche
- Clinical Neurosciences, Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK.
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