1
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Qi C, Lövestam S, Murzin AG, Peak-Chew S, Franco C, Bogdani M, Latimer C, Murrell JR, Cullinane PW, Jaunmuktane Z, Bird TD, Ghetti B, Scheres SHW, Goedert M. Tau filaments with the Alzheimer fold in cases with MAPT mutations V337M and R406W. bioRxiv 2024:2024.04.29.591661. [PMID: 38746388 PMCID: PMC11092478 DOI: 10.1101/2024.04.29.591661] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/16/2024]
Abstract
Frontotemporal dementia (FTD) and Alzheimer's disease are the most common forms of early-onset dementia. Dominantly inherited mutations in MAPT , the microtubule-associated protein tau gene, cause FTD and parkinsonism linked to chromosome 17 (FTDP-17). Individuals with FTDP-17 develop abundant filamentous tau inclusions in brain cells. Here we used electron cryo-microscopy to determine the structures of tau filaments from the brains of individuals with MAPT mutations V337M and R406W. Both mutations gave rise to tau filaments with the Alzheimer fold, which consisted of paired helical filaments in all V337M and R406W cases and of straight filaments in two V337M cases. We also identified a new assembly of the Alzheimer fold into triple tau filaments in a V337M case. Filaments assembled from recombinant tau(297-391) with mutation V337M had the Alzheimer fold and showed an increased rate of assembly.
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2
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Fazeli E, Child DD, Bucks SA, Stovarsky M, Edwards G, Rose SE, Yu CE, Latimer C, Kitago Y, Bird T, Jayadev S, Andersen OM, Young JE. A familial missense variant in the Alzheimer's disease gene SORL1 impairs its maturation and endosomal sorting. Acta Neuropathol 2024; 147:20. [PMID: 38244079 PMCID: PMC10799806 DOI: 10.1007/s00401-023-02670-1] [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: 08/16/2023] [Revised: 11/11/2023] [Accepted: 12/16/2023] [Indexed: 01/22/2024]
Abstract
The SORL1 gene has recently emerged as a strong Alzheimer's Disease (AD) risk gene. Over 500 different variants have been identified in the gene and the contribution of individual variants to AD development and progression is still largely unknown. Here, we describe a family consisting of 2 parents and 5 offspring. Both parents were affected with dementia and one had confirmed AD pathology with an age of onset > 75 years. All offspring were affected with AD with ages at onset ranging from 53 years to 74 years. DNA was available from the parent with confirmed AD and 5 offspring. We identified a coding variant, p.(Arg953Cys), in SORL1 in 5 of 6 individuals affected by AD. Notably, variant carriers had severe AD pathology, and the SORL1 variant segregated with TDP-43 pathology (LATE-NC). We further characterized this variant and show that this Arginine substitution occurs at a critical position in the YWTD-domain of the SORL1 translation product, SORL1. Functional studies further show that the p.R953C variant leads to retention of the SORL1 protein in the endoplasmic reticulum which leads to decreased maturation and shedding of the receptor and prevents its normal endosomal trafficking. Together, our analysis suggests that p.R953C is a pathogenic variant of SORL1 and sheds light on mechanisms of how missense SORL1 variants may lead to AD.
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Affiliation(s)
- Elnaz Fazeli
- Department of Biomedicine, Aarhus University, Høegh-Guldbergs Gade 10, 8000, Aarhus C, Denmark
| | - Daniel D Child
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, 98109, USA
| | - Stephanie A Bucks
- Department of Neurology, University of Washington, Seattle, WA, 98195, USA
| | - Miki Stovarsky
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA, 98195, USA
| | - Gabrielle Edwards
- Department of Neurology, University of Washington, Seattle, WA, 98195, USA
| | - Shannon E Rose
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, 98109, USA
| | - Chang-En Yu
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA, 98195, USA
- Geriatric Research Education and Clinical Center (GRECC), Veterans Administration Health Care System, Seattle, WA, 98108, USA
| | - Caitlin Latimer
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, 98109, USA
| | - Yu Kitago
- Ann Romney Center for Neurologic Diseases, Harvard Medical School and Brigham and Women's Hospital, Boston, MA, 02115, USA
| | - Thomas Bird
- Department of Neurology, University of Washington, Seattle, WA, 98195, USA
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA, 98195, USA
- Geriatric Research Education and Clinical Center (GRECC), Veterans Administration Health Care System, Seattle, WA, 98108, USA
| | - Suman Jayadev
- Department of Neurology, University of Washington, Seattle, WA, 98195, USA.
| | - Olav M Andersen
- Department of Biomedicine, Aarhus University, Høegh-Guldbergs Gade 10, 8000, Aarhus C, Denmark.
| | - Jessica E Young
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, 98109, USA.
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3
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Fazeli E, Child DD, Bucks SA, Stovarsky M, Edwards G, Rose SE, Yu CE, Latimer C, Kitago Y, Bird T, Jayadev S, Andersen OM, Young JE. A familial missense variant in the Alzheimer's Disease gene SORL1 impairs its maturation and endosomal sorting. bioRxiv 2023:2023.07.01.547348. [PMID: 37461597 PMCID: PMC10349966 DOI: 10.1101/2023.07.01.547348] [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] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 07/24/2023]
Abstract
The SORL1 gene has recently emerged as a strong Alzheimer's Disease (AD) risk gene. Over 500 different variants have been identified in the gene and the contribution of individual variants to AD development and progression is still largely unknown. Here, we describe a family consisting of 2 parents and 5 offspring. Both parents were affected with dementia and one had confirmed AD pathology with an age of onset >75 years. All offspring were affected with AD with ages at onset ranging from 53yrs-74yrs. DNA was available from the parent with confirmed AD and 5 offspring. We identified a coding variant, p.(Arg953Cys), in SORL1 in 5 of 6 individuals affected by AD. Notably, variant carriers had severe AD pathology, and the SORL1 variant segregated with TDP-43 pathology (LATE-NC). We further characterized this variant and show that this Arginine substitution occurs at a critical position in the YWTD-domain of the SORL1 translation product, SORL1. Functional studies further show that the p.R953C variant leads to retention of the SORL1 protein in the endoplasmic reticulum which leads to decreased maturation and shedding of the receptor and prevents its normal endosomal trafficking. Together, our analysis suggests that p.R953C is a pathogenic variant of SORL1 and sheds light on mechanisms of how missense SORL1 variants may lead to AD.
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Affiliation(s)
- Elnaz Fazeli
- Department of Biomedicine, Aarhus University, Høegh-Guldbergs Gade 10, DK8000 AarhusC, Denmark
| | - Daniel D. Child
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle Washington USA
| | - Stephanie A. Bucks
- Department of Neurology, University of Washington, Seattle Washington USA
| | - Miki Stovarsky
- Department of Medicine, Division of Medical Genetics University of Washington, Seattle Washington USA
| | - Gabrielle Edwards
- Department of Neurology, University of Washington, Seattle Washington USA
| | - Shannon E. Rose
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle Washington USA
| | - Chang-En Yu
- Department of Medicine, Division of Medical Genetics University of Washington, Seattle Washington USA
- Geriatric Research Education and Clinical Center (GRECC), Veterans Administration Health Care System
| | - Caitlin Latimer
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle Washington USA
| | - Yu Kitago
- Ann Romney Center for Neurologic Diseases, Harvard Medical School and Brigham and Women’s Hospital, Boston, MA 02115
| | - Thomas Bird
- Department of Neurology, University of Washington, Seattle Washington USA
- Department of Medicine, Division of Medical Genetics University of Washington, Seattle Washington USA
- Geriatric Research Education and Clinical Center (GRECC), Veterans Administration Health Care System
| | - Suman Jayadev
- Department of Neurology, University of Washington, Seattle Washington USA
| | - Olav M. Andersen
- Department of Biomedicine, Aarhus University, Høegh-Guldbergs Gade 10, DK8000 AarhusC, Denmark
| | - Jessica E. Young
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle Washington USA
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4
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Sin MK, Cheng Y, Roseman JM, Latimer C, Ahmed A, Zamrini E. Characteristics and Predictors of Alzheimer's Disease Resilience Phenotype. J Clin Med 2023; 12:2463. [PMID: 37048547 PMCID: PMC10094896 DOI: 10.3390/jcm12072463] [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: 02/04/2023] [Revised: 03/16/2023] [Accepted: 03/21/2023] [Indexed: 04/14/2023] Open
Abstract
Alzheimer's disease (AD) is characterized by cognitive impairment in the presence of cerebral amyloid plaques and neurofibrillary tangles. Less is known about the characteristics and predictors of resilience to cognitive impairment in the presence of neuropathological evidence of AD, the focus of this study. Of 3170 adults age ≥65 years in the National Alzheimer's Coordinating Center (NACC) brain autopsy cohort, 1373 had evidence of CERAD level moderate to frequent neuritic plaque density and Braak stage V-VI neurofibrillary tangles. Resilience was defined by CDR-SOB and CDR-Global scores of 0-2.5 and 0-0.5, respectively, and non-resilience, CDR-SOB and CDR-Global scores >2.5 and >0.5, respectively. Multivariable logistic regression models were used to examine the independent associations of patient characteristics with resilience. There were 62 participants (4.8%) with resilience. Those with resilience were older (mean age, 88.3 vs. 82.4 years), more likely to be women (61.3% vs. 47.3%) and had a lower prevalence of the APOE-e4 carrier (41.9% vs. 56.2%). They also had a higher prevalence of hypertension, heart failure, atrial fibrillation, diuretic use, beta-blocker use, and APOE-e2 carrier status. Greater age at death, diuretic use, and APOE-e2 were the only characteristics independently associated with higher odds of the AD resilience phenotype (adjusted OR, 1.09; 95% CI, 1.05-1.13; p < 0.01; 2.00 (1.04-3.87), p = 0.04, 2.71 (1.31-5.64), p < 0.01, respectively). The phenotype of resilience to cognitive impairment is uncommon in older adults who have neuropathological evidence of AD.
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Affiliation(s)
- Mo-Kyung Sin
- College of Nursing, Seattle University, Seattle, WA 98122-1090, USA
| | - Yan Cheng
- The School of Medicine & Health Sciences, George Washington University, Washington, DC 20037, USA
| | - Jeffrey M. Roseman
- School of Public Health, University of Alabama at Birmingham, Birmingham, AL 35233, USA
| | - Caitlin Latimer
- Laboratory Medicine & Pathology, University of Washington, Seattle, WA 98104, USA
| | - Ali Ahmed
- The School of Medicine & Health Sciences, George Washington University, Washington, DC 20037, USA
- VA Medical Center, Washington, DC 20242, USA
- Georgetown University, Washington, DC 20057, USA
| | - Edward Zamrini
- The School of Medicine & Health Sciences, George Washington University, Washington, DC 20037, USA
- VA Medical Center, Washington, DC 20242, USA
- Irvine Clinical Research, Irvine, CA 92614, USA
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5
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Lou W, Nguyen T, Latimer C. Recurrent Foreign Body Reactions to Neuroendovascular Polymers—A Clinicopathologic Case Study. Neurology 2022. [DOI: 10.1212/01.wnl.0000903284.95480.eb] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
ObjectiveWe provide histopathologic and neuroimaging evidence of recurrent foreign body reactions in a patient following separate stent-assisted coiling of two contralateral intracranial aneurysms a decade apart.BackgroundStent-assisted endovascular coiling for wide-neck cerebral aneurysms introduces permanent foreign materials into the cerebral vasculature. While foreign body reactions after endovascular coiling are increasingly reported in the literature, compelling histopathologic data remains very limited.Design/MethodsElectronic medical record review for clinical details and neuroimaging. Histopathology was extensively reviewed with a neuropathologist.ResultsA 37-year-old woman presents with left arm weakness. Magnetic resonance imaging (MRI) shows numerous enhancing lesions with large multifocal T2 FLAIR changes in the right hemisphere. An extensive vascular, infectious, autoimmune, and neoplastic workup returns negative. Months earlier, she had undergone stent-assisted coiling of a right internal carotid artery (ICA) aneurysm. A decade prior, she had presented with focal right-sided seizures after coiling of a left ICA aneurysm; MRI brain at the time revealed two enhancing lesions in the left hemisphere of unclear etiology. A brain biopsy is performed, and histopathology reveals multifocal, chronic micro-abscesses characterized by collections of neutrophils surrounded by a rim of multinucleated giant cells and histiocytes which are in turn rimmed by fibrosis and granulation tissue. Staining is negative for neoplastic changes and infectious organisms. Rare filamentous structures are identified in association with the giant cells; these resemble coil polymers described in the endovascular literature and are highly suspicious for inducing a neuroinflammatory foreign body reaction. She improves following glucocorticoid treatment, and repeat imaging shows substantial reduction in parenchymal abnormalities.ConclusionsForeign body reactions are an uncommon complication of endovascular aneurysm coiling and can manifest as an embolic inflammatory phenomenon. These neuroinflammatory reactions are driven by endovascular polymers and responsive to glucocorticoid treatment. Heightened awareness can facilitate earlier diagnosis and treatment, with prompt neuroimmunology consultation for repeat endovascular procedures.
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6
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Berg J, Sorensen SA, Ting JT, Miller JA, Chartrand T, Buchin A, Bakken TE, Budzillo A, Dee N, Ding SL, Gouwens NW, Hodge RD, Kalmbach B, Lee C, Lee BR, Alfiler L, Baker K, Barkan E, Beller A, Berry K, Bertagnolli D, Bickley K, Bomben J, Braun T, Brouner K, Casper T, Chong P, Crichton K, Dalley R, de Frates R, Desta T, Lee SD, D'Orazi F, Dotson N, Egdorf T, Enstrom R, Farrell C, Feng D, Fong O, Furdan S, Galakhova AA, Gamlin C, Gary A, Glandon A, Goldy J, Gorham M, Goriounova NA, Gratiy S, Graybuck L, Gu H, Hadley K, Hansen N, Heistek TS, Henry AM, Heyer DB, Hill D, Hill C, Hupp M, Jarsky T, Kebede S, Keene L, Kim L, Kim MH, Kroll M, Latimer C, Levi BP, Link KE, Mallory M, Mann R, Marshall D, Maxwell M, McGraw M, McMillen D, Melief E, Mertens EJ, Mezei L, Mihut N, Mok S, Molnar G, Mukora A, Ng L, Ngo K, Nicovich PR, Nyhus J, Olah G, Oldre A, Omstead V, Ozsvar A, Park D, Peng H, Pham T, Pom CA, Potekhina L, Rajanbabu R, Ransford S, Reid D, Rimorin C, Ruiz A, Sandman D, Sulc J, Sunkin SM, Szafer A, Szemenyei V, Thomsen ER, Tieu M, Torkelson A, Trinh J, Tung H, Wakeman W, Waleboer F, Ward K, Wilbers R, Williams G, Yao Z, Yoon JG, Anastassiou C, Arkhipov A, Barzo P, Bernard A, Cobbs C, de Witt Hamer PC, Ellenbogen RG, Esposito L, Ferreira M, Gwinn RP, Hawrylycz MJ, Hof PR, Idema S, Jones AR, Keene CD, Ko AL, Murphy GJ, Ng L, Ojemann JG, Patel AP, Phillips JW, Silbergeld DL, Smith K, Tasic B, Yuste R, Segev I, de Kock CPJ, Mansvelder HD, Tamas G, Zeng H, Koch C, Lein ES. Author Correction: Human neocortical expansion involves glutamatergic neuron diversification. Nature 2022; 601:E12. [PMID: 34992294 PMCID: PMC8770134 DOI: 10.1038/s41586-021-04322-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Jim Berg
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Jonathan T Ting
- Allen Institute for Brain Science, Seattle, WA, USA
- Department of Physiology and Biophysics, University of Washington, Seattle, WA, USA
| | | | | | | | | | | | - Nick Dee
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | | | | | - Brian Kalmbach
- Allen Institute for Brain Science, Seattle, WA, USA
- Department of Physiology and Biophysics, University of Washington, Seattle, WA, USA
| | - Changkyu Lee
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Brian R Lee
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | | | - Eliza Barkan
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Allison Beller
- Department of Pathology, University of Washington, Seattle, WA, USA
| | - Kyla Berry
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Kris Bickley
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | | | | | | | - Peter Chong
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | | | | | - Tsega Desta
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | | | | | - Tom Egdorf
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | | | - David Feng
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Olivia Fong
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Szabina Furdan
- MTA-SZTE Research Group for Cortical Microcircuits, Department of Physiology, Anatomy, and Neuroscience, University of Szeged, Szeged, Hungary
| | - Anna A Galakhova
- Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research (CNCR), Vrije Universiteit, Amsterdam, The Netherlands
| | - Clare Gamlin
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Amanda Gary
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Jeff Goldy
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Natalia A Goriounova
- Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research (CNCR), Vrije Universiteit, Amsterdam, The Netherlands
| | | | | | - Hong Gu
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | | | - Tim S Heistek
- Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research (CNCR), Vrije Universiteit, Amsterdam, The Netherlands
| | - Alex M Henry
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Djai B Heyer
- Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research (CNCR), Vrije Universiteit, Amsterdam, The Netherlands
| | - DiJon Hill
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Chris Hill
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Madie Hupp
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Tim Jarsky
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Sara Kebede
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Lisa Keene
- Department of Pathology, University of Washington, Seattle, WA, USA
| | - Lisa Kim
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | | | - Caitlin Latimer
- Department of Pathology, University of Washington, Seattle, WA, USA
| | - Boaz P Levi
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | | | - Rusty Mann
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Desiree Marshall
- Department of Pathology, University of Washington, Seattle, WA, USA
| | | | - Medea McGraw
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Erica Melief
- Department of Pathology, University of Washington, Seattle, WA, USA
| | - Eline J Mertens
- Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research (CNCR), Vrije Universiteit, Amsterdam, The Netherlands
| | - Leona Mezei
- MTA-SZTE Research Group for Cortical Microcircuits, Department of Physiology, Anatomy, and Neuroscience, University of Szeged, Szeged, Hungary
| | - Norbert Mihut
- MTA-SZTE Research Group for Cortical Microcircuits, Department of Physiology, Anatomy, and Neuroscience, University of Szeged, Szeged, Hungary
| | | | - Gabor Molnar
- MTA-SZTE Research Group for Cortical Microcircuits, Department of Physiology, Anatomy, and Neuroscience, University of Szeged, Szeged, Hungary
| | - Alice Mukora
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Lindsay Ng
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Kiet Ngo
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Julie Nyhus
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Gaspar Olah
- MTA-SZTE Research Group for Cortical Microcircuits, Department of Physiology, Anatomy, and Neuroscience, University of Szeged, Szeged, Hungary
| | - Aaron Oldre
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Attila Ozsvar
- MTA-SZTE Research Group for Cortical Microcircuits, Department of Physiology, Anatomy, and Neuroscience, University of Szeged, Szeged, Hungary
| | - Daniel Park
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | | | | | | | | | | | - David Reid
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | | | | | - Josef Sulc
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Aaron Szafer
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Viktor Szemenyei
- MTA-SZTE Research Group for Cortical Microcircuits, Department of Physiology, Anatomy, and Neuroscience, University of Szeged, Szeged, Hungary
| | | | - Michael Tieu
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | | | - Herman Tung
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Femke Waleboer
- Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research (CNCR), Vrije Universiteit, Amsterdam, The Netherlands
| | - Katelyn Ward
- Allen Institute for Brain Science, Seattle, WA, USA
| | - René Wilbers
- Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research (CNCR), Vrije Universiteit, Amsterdam, The Netherlands
| | | | - Zizhen Yao
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | | | | | - Pal Barzo
- Department of Neurosurgery, University of Szeged, Szeged, Hungary
| | - Amy Bernard
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Philip C de Witt Hamer
- Cancer Center Amsterdam, Brain Tumor Center, Department of Neurosurgery, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands
| | | | | | - Manuel Ferreira
- Department of Neurological Surgery, University of Washington, Seattle, WA, USA
| | | | | | - Patrick R Hof
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sander Idema
- Cancer Center Amsterdam, Brain Tumor Center, Department of Neurosurgery, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands
| | | | - C Dirk Keene
- Department of Pathology, University of Washington, Seattle, WA, USA
| | - Andrew L Ko
- Department of Neurological Surgery, University of Washington, Seattle, WA, USA
| | - Gabe J Murphy
- Allen Institute for Brain Science, Seattle, WA, USA
- Department of Physiology and Biophysics, University of Washington, Seattle, WA, USA
| | - Lydia Ng
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Jeffrey G Ojemann
- Department of Neurological Surgery, University of Washington, Seattle, WA, USA
| | - Anoop P Patel
- Department of Neurological Surgery, University of Washington, Seattle, WA, USA
| | | | - Daniel L Silbergeld
- Department of Neurological Surgery, University of Washington, Seattle, WA, USA
| | | | | | - Rafael Yuste
- NeuroTechnology Center, Columbia University, New York, NY, USA
| | - Idan Segev
- Edmond and Lily Safra Center for Brain Sciences and Department of Neurobiology, The Hebrew University Jerusalem, Jerusalem, Israel
| | - Christiaan P J de Kock
- Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research (CNCR), Vrije Universiteit, Amsterdam, The Netherlands
| | - Huibert D Mansvelder
- Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research (CNCR), Vrije Universiteit, Amsterdam, The Netherlands
| | - Gabor Tamas
- MTA-SZTE Research Group for Cortical Microcircuits, Department of Physiology, Anatomy, and Neuroscience, University of Szeged, Szeged, Hungary
| | - Hongkui Zeng
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Ed S Lein
- Allen Institute for Brain Science, Seattle, WA, USA.
- Department of Neurological Surgery, University of Washington, Seattle, WA, USA.
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7
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Phongpreecha T, Gajera CR, Liu CC, Vijayaragavan K, Chang AL, Becker M, Fallahzadeh R, Fernandez R, Postupna N, Sherfield E, Tebaykin D, Latimer C, Shively CA, Register TC, Craft S, Montine KS, Fox EJ, Poston KL, Keene CD, Angelo M, Bendall SC, Aghaeepour N, Montine TJ. Single-synapse analyses of Alzheimer's disease implicate pathologic tau, DJ1, CD47, and ApoE. Sci Adv 2021; 7:eabk0473. [PMID: 34910503 PMCID: PMC8673771 DOI: 10.1126/sciadv.abk0473] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/15/2023]
Abstract
Synaptic molecular characterization is limited for Alzheimer’s disease (AD). Our newly invented mass cytometry–based method, synaptometry by time of flight (SynTOF), was used to measure 38 antibody probes in approximately 17 million single-synapse events from human brains without pathologic change or with pure AD or Lewy body disease (LBD), nonhuman primates (NHPs), and PS/APP mice. Synaptic molecular integrity in humans and NHP was similar. Although not detected in human synapses, Aβ was in PS/APP mice single-synapse events. Clustering and pattern identification of human synapses showed expected disease-specific differences, like increased hippocampal pathologic tau in AD and reduced caudate dopamine transporter in LBD, and revealed previously unidentified findings including increased hippocampal CD47 and lowered DJ1 in AD and higher ApoE in AD with dementia. Our results were independently supported by multiplex ion beam imaging of intact tissue. This highlights the higher depth and breadth of insight on neurodegenerative diseases obtainable through SynTOF.
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Affiliation(s)
- Thanaphong Phongpreecha
- Department of Pathology, Stanford University, Stanford, CA, USA
- Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University, Stanford, CA, USA
- Department of Biomedical Data Science, Stanford University, Stanford, CA, USA
| | | | - Candace C. Liu
- Department of Pathology, Stanford University, Stanford, CA, USA
| | | | - Alan L. Chang
- Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University, Stanford, CA, USA
- Department of Biomedical Data Science, Stanford University, Stanford, CA, USA
- Department of Pediatrics, Stanford University, Stanford, CA, USA
| | - Martin Becker
- Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University, Stanford, CA, USA
- Department of Biomedical Data Science, Stanford University, Stanford, CA, USA
- Department of Pediatrics, Stanford University, Stanford, CA, USA
| | - Ramin Fallahzadeh
- Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University, Stanford, CA, USA
- Department of Biomedical Data Science, Stanford University, Stanford, CA, USA
- Department of Pediatrics, Stanford University, Stanford, CA, USA
| | | | - Nadia Postupna
- Department of Pathology, University of Washington, Seattle, WA, USA
| | - Emily Sherfield
- Department of Pathology, University of Washington, Seattle, WA, USA
| | - Dmitry Tebaykin
- Department of Pathology, Stanford University, Stanford, CA, USA
| | - Caitlin Latimer
- Department of Pathology, University of Washington, Seattle, WA, USA
| | - Carol A. Shively
- Department of Pathology/Comparative Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Thomas C. Register
- Department of Pathology/Comparative Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Suzanne Craft
- Department of Internal Medicine–Geriatrics, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | | | - Edward J. Fox
- Department of Pathology, Stanford University, Stanford, CA, USA
| | - Kathleen L. Poston
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
- Department of Neurosurgery, Stanford University, Stanford, CA, USA
| | - C. Dirk Keene
- Department of Pathology, University of Washington, Seattle, WA, USA
| | - Michael Angelo
- Department of Pathology, Stanford University, Stanford, CA, USA
| | - Sean C. Bendall
- Department of Pathology, Stanford University, Stanford, CA, USA
| | - Nima Aghaeepour
- Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University, Stanford, CA, USA
- Department of Biomedical Data Science, Stanford University, Stanford, CA, USA
- Department of Pediatrics, Stanford University, Stanford, CA, USA
| | - Thomas J. Montine
- Department of Pathology, Stanford University, Stanford, CA, USA
- Corresponding author.
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8
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Berg J, Sorensen SA, Ting JT, Miller JA, Chartrand T, Buchin A, Bakken TE, Budzillo A, Dee N, Ding SL, Gouwens NW, Hodge RD, Kalmbach B, Lee C, Lee BR, Alfiler L, Baker K, Barkan E, Beller A, Berry K, Bertagnolli D, Bickley K, Bomben J, Braun T, Brouner K, Casper T, Chong P, Crichton K, Dalley R, de Frates R, Desta T, Lee SD, D'Orazi F, Dotson N, Egdorf T, Enstrom R, Farrell C, Feng D, Fong O, Furdan S, Galakhova AA, Gamlin C, Gary A, Glandon A, Goldy J, Gorham M, Goriounova NA, Gratiy S, Graybuck L, Gu H, Hadley K, Hansen N, Heistek TS, Henry AM, Heyer DB, Hill D, Hill C, Hupp M, Jarsky T, Kebede S, Keene L, Kim L, Kim MH, Kroll M, Latimer C, Levi BP, Link KE, Mallory M, Mann R, Marshall D, Maxwell M, McGraw M, McMillen D, Melief E, Mertens EJ, Mezei L, Mihut N, Mok S, Molnar G, Mukora A, Ng L, Ngo K, Nicovich PR, Nyhus J, Olah G, Oldre A, Omstead V, Ozsvar A, Park D, Peng H, Pham T, Pom CA, Potekhina L, Rajanbabu R, Ransford S, Reid D, Rimorin C, Ruiz A, Sandman D, Sulc J, Sunkin SM, Szafer A, Szemenyei V, Thomsen ER, Tieu M, Torkelson A, Trinh J, Tung H, Wakeman W, Waleboer F, Ward K, Wilbers R, Williams G, Yao Z, Yoon JG, Anastassiou C, Arkhipov A, Barzo P, Bernard A, Cobbs C, de Witt Hamer PC, Ellenbogen RG, Esposito L, Ferreira M, Gwinn RP, Hawrylycz MJ, Hof PR, Idema S, Jones AR, Keene CD, Ko AL, Murphy GJ, Ng L, Ojemann JG, Patel AP, Phillips JW, Silbergeld DL, Smith K, Tasic B, Yuste R, Segev I, de Kock CPJ, Mansvelder HD, Tamas G, Zeng H, Koch C, Lein ES. Human neocortical expansion involves glutamatergic neuron diversification. Nature 2021; 598:151-158. [PMID: 34616067 PMCID: PMC8494638 DOI: 10.1038/s41586-021-03813-8] [Citation(s) in RCA: 111] [Impact Index Per Article: 37.0] [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: 04/01/2020] [Accepted: 07/07/2021] [Indexed: 11/09/2022]
Abstract
The neocortex is disproportionately expanded in human compared with mouse1,2, both in its total volume relative to subcortical structures and in the proportion occupied by supragranular layers composed of neurons that selectively make connections within the neocortex and with other telencephalic structures. Single-cell transcriptomic analyses of human and mouse neocortex show an increased diversity of glutamatergic neuron types in supragranular layers in human neocortex and pronounced gradients as a function of cortical depth3. Here, to probe the functional and anatomical correlates of this transcriptomic diversity, we developed a robust platform combining patch clamp recording, biocytin staining and single-cell RNA-sequencing (Patch-seq) to examine neurosurgically resected human tissues. We demonstrate a strong correspondence between morphological, physiological and transcriptomic phenotypes of five human glutamatergic supragranular neuron types. These were enriched in but not restricted to layers, with one type varying continuously in all phenotypes across layers 2 and 3. The deep portion of layer 3 contained highly distinctive cell types, two of which express a neurofilament protein that labels long-range projection neurons in primates that are selectively depleted in Alzheimer's disease4,5. Together, these results demonstrate the explanatory power of transcriptomic cell-type classification, provide a structural underpinning for increased complexity of cortical function in humans, and implicate discrete transcriptomic neuron types as selectively vulnerable in disease.
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Affiliation(s)
- Jim Berg
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Jonathan T Ting
- Allen Institute for Brain Science, Seattle, WA, USA
- Department of Physiology and Biophysics, University of Washington, Seattle, WA, USA
| | | | | | | | | | | | - Nick Dee
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | | | | | - Brian Kalmbach
- Allen Institute for Brain Science, Seattle, WA, USA
- Department of Physiology and Biophysics, University of Washington, Seattle, WA, USA
| | - Changkyu Lee
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Brian R Lee
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | | | - Eliza Barkan
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Allison Beller
- Department of Pathology, University of Washington, Seattle, WA, USA
| | - Kyla Berry
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Kris Bickley
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | | | | | | | - Peter Chong
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | | | | | - Tsega Desta
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | | | | | - Tom Egdorf
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | | | - David Feng
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Olivia Fong
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Szabina Furdan
- MTA-SZTE Research Group for Cortical Microcircuits, Department of Physiology, Anatomy, and Neuroscience, University of Szeged, Szeged, Hungary
| | - Anna A Galakhova
- Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research (CNCR), Vrije Universiteit, Amsterdam, The Netherlands
| | - Clare Gamlin
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Amanda Gary
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Jeff Goldy
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Natalia A Goriounova
- Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research (CNCR), Vrije Universiteit, Amsterdam, The Netherlands
| | | | | | - Hong Gu
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | | | - Tim S Heistek
- Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research (CNCR), Vrije Universiteit, Amsterdam, The Netherlands
| | - Alex M Henry
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Djai B Heyer
- Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research (CNCR), Vrije Universiteit, Amsterdam, The Netherlands
| | - DiJon Hill
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Chris Hill
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Madie Hupp
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Tim Jarsky
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Sara Kebede
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Lisa Keene
- Department of Pathology, University of Washington, Seattle, WA, USA
| | - Lisa Kim
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | | | - Caitlin Latimer
- Department of Pathology, University of Washington, Seattle, WA, USA
| | - Boaz P Levi
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | | | - Rusty Mann
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Desiree Marshall
- Department of Pathology, University of Washington, Seattle, WA, USA
| | | | - Medea McGraw
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Erica Melief
- Department of Pathology, University of Washington, Seattle, WA, USA
| | - Eline J Mertens
- Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research (CNCR), Vrije Universiteit, Amsterdam, The Netherlands
| | - Leona Mezei
- MTA-SZTE Research Group for Cortical Microcircuits, Department of Physiology, Anatomy, and Neuroscience, University of Szeged, Szeged, Hungary
| | - Norbert Mihut
- MTA-SZTE Research Group for Cortical Microcircuits, Department of Physiology, Anatomy, and Neuroscience, University of Szeged, Szeged, Hungary
| | | | - Gabor Molnar
- MTA-SZTE Research Group for Cortical Microcircuits, Department of Physiology, Anatomy, and Neuroscience, University of Szeged, Szeged, Hungary
| | - Alice Mukora
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Lindsay Ng
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Kiet Ngo
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Julie Nyhus
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Gaspar Olah
- MTA-SZTE Research Group for Cortical Microcircuits, Department of Physiology, Anatomy, and Neuroscience, University of Szeged, Szeged, Hungary
| | - Aaron Oldre
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Attila Ozsvar
- MTA-SZTE Research Group for Cortical Microcircuits, Department of Physiology, Anatomy, and Neuroscience, University of Szeged, Szeged, Hungary
| | - Daniel Park
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | | | | | | | | | | | - David Reid
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | | | | | - Josef Sulc
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Aaron Szafer
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Viktor Szemenyei
- MTA-SZTE Research Group for Cortical Microcircuits, Department of Physiology, Anatomy, and Neuroscience, University of Szeged, Szeged, Hungary
| | | | - Michael Tieu
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | | | - Herman Tung
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Femke Waleboer
- Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research (CNCR), Vrije Universiteit, Amsterdam, The Netherlands
| | - Katelyn Ward
- Allen Institute for Brain Science, Seattle, WA, USA
| | - René Wilbers
- Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research (CNCR), Vrije Universiteit, Amsterdam, The Netherlands
| | | | - Zizhen Yao
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | | | | | - Pal Barzo
- Department of Neurosurgery, University of Szeged, Szeged, Hungary
| | - Amy Bernard
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Philip C de Witt Hamer
- Cancer Center Amsterdam, Brain Tumor Center, Department of Neurosurgery, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands
| | | | | | - Manuel Ferreira
- Department of Neurological Surgery, University of Washington, Seattle, WA, USA
| | | | | | - Patrick R Hof
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sander Idema
- Cancer Center Amsterdam, Brain Tumor Center, Department of Neurosurgery, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands
| | | | - C Dirk Keene
- Department of Pathology, University of Washington, Seattle, WA, USA
| | - Andrew L Ko
- Department of Neurological Surgery, University of Washington, Seattle, WA, USA
| | - Gabe J Murphy
- Allen Institute for Brain Science, Seattle, WA, USA
- Department of Physiology and Biophysics, University of Washington, Seattle, WA, USA
| | - Lydia Ng
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Jeffrey G Ojemann
- Department of Neurological Surgery, University of Washington, Seattle, WA, USA
| | - Anoop P Patel
- Department of Neurological Surgery, University of Washington, Seattle, WA, USA
| | | | - Daniel L Silbergeld
- Department of Neurological Surgery, University of Washington, Seattle, WA, USA
| | | | | | - Rafael Yuste
- NeuroTechnology Center, Columbia University, New York, NY, USA
| | - Idan Segev
- Edmond and Lily Safra Center for Brain Sciences and Department of Neurobiology, The Hebrew University Jerusalem, Jerusalem, Israel
| | - Christiaan P J de Kock
- Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research (CNCR), Vrije Universiteit, Amsterdam, The Netherlands
| | - Huibert D Mansvelder
- Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research (CNCR), Vrije Universiteit, Amsterdam, The Netherlands
| | - Gabor Tamas
- MTA-SZTE Research Group for Cortical Microcircuits, Department of Physiology, Anatomy, and Neuroscience, University of Szeged, Szeged, Hungary
| | - Hongkui Zeng
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Ed S Lein
- Allen Institute for Brain Science, Seattle, WA, USA.
- Department of Neurological Surgery, University of Washington, Seattle, WA, USA.
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9
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Yee LM, McGee P, Bailit JL, Wapner RJ, Varner MW, Thorp JM, Caritis SN, Prasad M, Tita AT, Saade GR, Sorokin Y, Rouse DJ, Blackwell SC, Tolosa JE, Mallett G, Grobman W, Ramos-Brinson M, Roy A, Stein L, Campbell P, Collins C, Jackson N, Dinsmoor M, Senka J, Paychek K, Peaceman A, Talucci M, Zylfijaj M, Reid Z, Leed R, Benson J, Forester S, Kitto C, Davis S, Falk M, Perez C, Hill K, Sowles A, Postma J, Alexander S, Andersen G, Scott V, Morby V, Jolley K, Miller J, Berg B, Dorman K, Mitchell J, Kaluta E, Clark K, Spicer K, Timlin S, Wilson K, Moseley L, Leveno K, Santillan M, Price J, Buentipo K, Bludau V, Thomas T, Fay L, Melton C, Kingsbery J, Benezue R, Simhan H, Bickus M, Fischer D, Kamon T, DeAngelis D, Mercer B, Milluzzi C, Dalton W, Dotson T, McDonald P, Brezine C, McGrail A, Latimer C, Guzzo L, Johnson F, Gerwig L, Fyffe S, Loux D, Frantz S, Cline D, Wylie S, Iams J, Wallace M, Northen A, Grant J, Colquitt C, Rouse D, Andrews W, Moss J, Salazar A, Acosta A, Hankins G, Hauff N, Palmer L, Lockhart P, Driscoll D, Wynn L, Sudz C, Dengate D, Girard C, Field S, Breault P, Smith F, Annunziata N, Allard D, Silva J, Gamage M, Hunt J, Tillinghast J, Corcoran N, Jimenez M, Ortiz F, Givens P, Rech B, Moran C, Hutchinson M, Spears Z, Carreno C, Heaps B, Zamora G, Seguin J, Rincon M, Snyder J, Farrar C, Lairson E, Bonino C, Smith W, Beach K, Van Dyke S, Butcher S, Thom E, Rice M, Zhao Y, Momirova V, Palugod R, Reamer B, Larsen M, Spong C, Tolivaisa S, VanDorsten J. Differences in obstetrical care and outcomes associated with the proportion of the obstetrician's shift completed. Am J Obstet Gynecol 2021; 225:430.e1-430.e11. [PMID: 33812810 DOI: 10.1016/j.ajog.2021.03.033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2021] [Revised: 03/14/2021] [Accepted: 03/26/2021] [Indexed: 10/21/2022]
Abstract
BACKGROUND Understanding and improving obstetrical quality and safety is an important goal of professional societies, and many interventions such as checklists, safety bundles, educational interventions, or other culture changes have been implemented to improve the quality of care provided to obstetrical patients. Although many factors contribute to delivery decisions, a reduced workload has addressed how provider issues such as fatigue or behaviors surrounding impending shift changes may influence the delivery mode and outcomes. OBJECTIVE The objective was to assess whether intrapartum obstetrical interventions and adverse outcomes differ based on the temporal proximity of the delivery to the attending's shift change. STUDY DESIGN This was a secondary analysis from a multicenter obstetrical cohort in which all patients with cephalic, singleton gestations who attempted vaginal birth were eligible for inclusion. The primary exposure used to quantify the relationship between the proximity of the provider to their shift change and a delivery intervention was the ratio of time from the most recent attending shift change to vaginal delivery or decision for cesarean delivery to the total length of the shift. Ratios were used to represent the proportion of time completed in the shift by normalizing for varying shift lengths. A sensitivity analysis restricted to patients who were delivered by physicians working 12-hour shifts was performed. Outcomes chosen included cesarean delivery, episiotomy, third- or fourth-degree perineal laceration, 5-minute Apgar score of <4, and neonatal intensive care unit admission. Chi-squared tests were used to evaluate outcomes based on the proportion of the attending's shift completed. Adjusted and unadjusted logistic models fitting a cubic spline (when indicated) were used to determine whether the frequency of outcomes throughout the shift occurred in a statistically significant, nonlinear pattern RESULTS: Of the 82,851 patients eligible for inclusion, 47,262 (57%) had ratio data available and constituted the analyzable sample. Deliveries were evenly distributed throughout shifts, with 50.6% taking place in the first half of shifts. There were no statistically significant differences in the frequency of cesarean delivery, episiotomy, third- or fourth-degree perineal lacerations, or 5-minute Apgar scores of <4 based on the proportion of the shift completed. The findings were unchanged when evaluated with a cubic spline in unadjusted and adjusted logistic models. Sensitivity analyses performed on the 22.2% of patients who were delivered by a physician completing a 12-hour shift showed similar findings. There was a small increase in the frequency of neonatal intensive care unit admissions with a greater proportion of the shift completed (adjusted P=.009), but the findings did not persist in the sensitivity analysis. CONCLUSION Clinically significant differences in obstetrical interventions and outcomes do not seem to exist based on the temporal proximity to the attending physician's shift change. Future work should attempt to directly study unit culture and provider fatigue to further investigate opportunities to improve obstetrical quality of care, and additional studies are needed to corroborate these findings in community settings.
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10
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Davis M, Wheelock V, Talman L, Latimer C, Vicars B, Lin A, Jayadev S, Bird T. Subdural Hematoma as a Serious Complication of Huntington's Disease: An Observational Study. J Huntingtons Dis 2021; 10:385-390. [PMID: 34366363 DOI: 10.3233/jhd-210478] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Persons with Huntington's disease (HD) are at increased risk for subdural hematomas (SDH) because of underlying brain atrophy and increased frequency of falls and head trauma. SDH can cause serious disability, but there is little information about the association of SDH with HD in the medical literature. OBJECTIVE To review the occurrence and characteristics of SDH seen in clinics specializing in HD. METHODS A retrospective review identifying the occurrence and manifestations of SDH in HD patients attending three HDSA Centers of Excellence. RESULTS Twenty-five HD patients (16F/9M) were identified with SDH. Twelve (44%) SDH were bilateral, 16 (60%) required surgical intervention, and 2 resulted in death. Mean age at the time of SDH was 60 years, mean duration of HD symptoms prior to event was 8 years, mean CAG repeat expansion size was 43 and mean UHDRS motor score obtained closest to time of SDH was 51 (16 patients). Most SDH occurred in the context of ground level falls or using stairs although 5 patients had no history of head trauma. Additional brain injury may occur along with the SDH. The most common symptoms were altered mental status, hemiparesis and loss of consciousness. The over-representation of females in this study requires replication and further investigation. CONCLUSION Patients with HD are at increased risk for SDH. An increased suspicion for SDH in HD patients should be considered, as this phenomenon may be initially unrecognized, may require extensive utilization of medical resources and is a potential cause of death.
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Affiliation(s)
- Marie Davis
- Departments of Neurology, University of WashingtonSchool of Medicine, Seattle, WA, USA.,Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle, WA, USA
| | - Vicki Wheelock
- Department of Neurology, University of California-Davis, Sacramento, CA, USA
| | - Lauren Talman
- Department of Neurology, Oregon Health and Science University, Portland, OR, USA
| | - Caitlin Latimer
- Departments of Pathology, University ofWashington School of Medicine, Seattle, WA, USA
| | - Brenda Vicars
- Departments of Neurology, University of WashingtonSchool of Medicine, Seattle, WA, USA
| | - Anny Lin
- Departments of Neurology, University of WashingtonSchool of Medicine, Seattle, WA, USA
| | - Suman Jayadev
- Departments of Neurology, University of WashingtonSchool of Medicine, Seattle, WA, USA
| | - Thomas Bird
- Departments of Neurology, University of WashingtonSchool of Medicine, Seattle, WA, USA.,Departments of Medicine, University of Washington School of Medicine, Seattle, WA, USA.,Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle, WA, USA
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11
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Alonge K, Logsdon A, Francis K, Richardson N, Hu S, Faber C, Phan BA, Nguyen V, Setthavongsack N, Banks W, Woltjer R, Keene C, Latimer C, Schwartz M, Scarlett J. Changes in the Brain Extracellular Matrix Sulfation Code in Alzheimer's Disease. FASEB J 2021. [DOI: 10.1096/fasebj.2021.35.s1.01733] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
| | | | | | | | | | | | | | - Vy Nguyen
- Oregon Health & Science UniversityPortlandOR
| | | | | | | | - C. Keene
- University of WashingtonSeattleWA
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12
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Burke BT, Latimer C, Keene CD, Sonnen JA, McCormick W, Bowen JD, McCurry SM, Larson EB, Crane PK. Theoretical impact of the AT(N) framework on dementia using a community autopsy sample. Alzheimers Dement 2021; 17:1879-1891. [PMID: 33900044 DOI: 10.1002/alz.12348] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2019] [Revised: 03/02/2021] [Accepted: 03/11/2021] [Indexed: 11/07/2022]
Abstract
The AT(N) research framework categorizes eight biomarker profiles using amyloid (A), tauopathy (T), and neurodegeneration (N), regardless of dementia status. We evaluated associations with dementia risk in a community-based cohort by approximating AT(N) profiles using autopsy-based neuropathology correlates, and considered cost implications for clinical trials for secondary prevention of dementia based on AT(N) profiles. We used Consortium to Establish a Registry for Alzheimer's Disease (moderate/frequent) to approximate A+, Braak stage (IV-VI) for T+, and temporal pole lateral ventricular dilation for (N)+. Outcomes included dementia prevalence at death and incidence in the last 5 years of life. A+T+(N)+ was the most common profile (31%). Dementia prevalence ranged from 14% (A-T-[N]-) to 79% (A+T+[N]+). Between 8% (A+T-[N]-) and 68% (A+T+[N]-) of decedents developed incident dementia in the last 5 years of life. Clinical trials would incur substantial expense to characterize AT(N). Many people with biomarker-defined preclinical Alzheimer's disease will never develop clinical dementia during life, highlighting resilience to clinical expression of AD neuropathologic changes and the need for improved tools for prediction beyond current AT(N) biomarkers.
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Affiliation(s)
- Bridget Teevan Burke
- Kaiser Permanente, Washington Health Research Institute, Seattle, Washington, USA
| | - Caitlin Latimer
- Department of Pathology, University of Washington, Seattle, Washington, USA
| | - C Dirk Keene
- Department of Pathology, University of Washington, Seattle, Washington, USA
| | - Joshua A Sonnen
- Department of Pathology, McGill University, Montreal, Quebec, Canada
| | - Wayne McCormick
- Department of Medicine, University of Washington, Seattle, Washington, USA
| | - James D Bowen
- Department of Neurology, Swedish Hospital Medical Center, Seattle, Washington, USA
| | - Susan M McCurry
- Department of Community Health and Nursing, University of Washington, Seattle, Washington, USA
| | - Eric B Larson
- Kaiser Permanente, Washington Health Research Institute, Seattle, Washington, USA
| | - Paul K Crane
- Department of Medicine, University of Washington, Seattle, Washington, USA
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13
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Frye B, Shively C, Craft S, Register T, Jorgensen M, Latimer C, Scott C, Register H. Co-Occurrence of Physical and Cognitive Decline in Vervet Monkeys (Chlorocebus aethiops sabaeus). Innov Aging 2020. [PMCID: PMC7741682 DOI: 10.1093/geroni/igaa057.389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2022] Open
Abstract
Age-related neurodegeneration associated with Alzheimer’s (AD) disease begins in middle age, well before the onset of symptoms. Therefore, translational models to identify modifiable risk factors in middle-age are needed to understand etiology and identify therapeutic targets. Vervet monkeys (Chlorocebus aethiops sabaeus), like humans, naturally develop several risk factors for AD with age, including obesity, prediabetes, and hypertension. Furthermore, older vervets exhibit accumulation of amyloid and tauopathies, decreased brain volumes, and physical declines in gait speed, suggesting that these NHPs may be useful models of early AD-like neuropathology. Currently, we are investigating the extent to which cognitive and physical decline co-occur in 20 elder (mean age=23 years, ~equivalent to a human age of 80 years) and 10 middle-aged (mean age=11 years) females through assessments of physical performance, executive function, social cognition, and short-term memory. These measures are part of a larger study to integrate physical, social, and cognitive function with measures of body composition, metabolic profiles, CSF, blood, neuroimages, and neuropathology. While tests of social cognition and short-term memory are ongoing, assessments of executive function indicate that performance declines with age (N=26; p<0.05; R-squared=0.23). Furthermore, animals that exhibit slower gait speed also perform poorly on the executive function task (N=26, p<0.05; R-squared=0.25). These preliminary results suggest that accelerated aging co-occurs in multiple systems in vervets. This study will enable examination of temporal relationships between physical and cognitive declines. Ultimately, this comprehensive, integrative whole-body approach will help clarify the mechanisms underlying divergent aging trajectories and inspire interventions that promote multi-system healthy aging.
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Affiliation(s)
- Brett Frye
- Wake Forest School of Medicine, Winston-Salem, North Carolina, United States
| | - Carol Shively
- Wake Forest University Alzheimer’s Disease Research Center, Winston-Salem, North Carolina, United States
| | - Suzanne Craft
- Wake Forest School of Medicine, Winston-Salem, North Carolina, United States
| | - Thomas Register
- Wake Forest School of Medicine, Winston-Salem, North Carolina, United States
| | - Matthew Jorgensen
- Wake Forest School of Medicine, Winston-Salem, North Carolina, United States
| | - Caitlin Latimer
- University of Washington, Seattle, Washington, United States
| | - Christie Scott
- Wake Forest School of Medicine, Winston-Salem, North Carolina, United States
| | - Hannah Register
- Wake Forest School of Medicine, Winston-Salem, North Carolina, United States
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McMillan P, Wheeler J, Gatlin RE, Taylor L, Strovas T, Baum M, Bird TD, Latimer C, Keene CD, Kraemer BC, Liachko NF. Adult onset pan-neuronal human tau tubulin kinase 1 expression causes severe cerebellar neurodegeneration in mice. Acta Neuropathol Commun 2020; 8:200. [PMID: 33228809 PMCID: PMC7684928 DOI: 10.1186/s40478-020-01073-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Accepted: 11/07/2020] [Indexed: 12/18/2022] Open
Abstract
The kinase TTBK1 is predominantly expressed in the central nervous system and has been implicated in neurodegenerative diseases including Alzheimer’s disease, frontotemporal lobar degeneration, and amyotrophic lateral sclerosis through its ability to phosphorylate the proteins tau and TDP-43. Mutations in the closely related gene TTBK2 cause spinocerebellar ataxia, type 11. However, it remains unknown whether altered TTBK1 activity alone can drive neurodegeneration. In order to characterize the consequences of neuronal TTBK1 upregulation in adult brains, we have generated a transgenic mouse model with inducible pan-neuronal expression of human TTBK1. We find that these inducible TTBK1 transgenic mice (iTTBK1 Tg) exhibit motor and cognitive phenotypes, including decreased grip strength, hyperactivity, limb-clasping, and spatial memory impairment. These behavioral phenotypes occur in conjunction with progressive weight loss, neuroinflammation, and severe cerebellar degeneration with Purkinje neuron loss. Phenotype onset begins weeks after TTBK1 induction, culminating in average mortality around 7 weeks post induction. The iTTBK1 Tg animals lack any obvious accumulation of pathological tau or TDP-43, indicating that TTBK1 expression drives neurodegeneration in the absence of detectable pathological protein deposition. In exploring TTBK1 functions, we identified the autophagy related protein GABARAP to be a novel interacting partner of TTBK1 and show that GABARAP protein levels increase in the brain following induction of TTBK1. These iTTBK1 Tg mice exhibit phenotypes reminiscent of spinocerebellar ataxia, and represent a new model of cerebellar neurodegeneration.
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Chen DH, Latimer C, Yagi M, Ndugga-Kabuye MK, Heigham E, Jayadev S, Meabon JS, Gomez CM, Keene CD, Cook DG, Raskind WH, Bird TD. Heterozygous STUB1 missense variants cause ataxia, cognitive decline, and STUB1 mislocalization. Neurol Genet 2020; 6:1-13. [PMID: 32211513 PMCID: PMC7073456 DOI: 10.1212/nxg.0000000000000397] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2019] [Accepted: 11/07/2019] [Indexed: 12/13/2022]
Abstract
OBJECTIVE To identify the genetic cause of autosomal dominant ataxia complicated by behavioral abnormalities, cognitive decline, and autism in 2 families and to characterize brain neuropathologic signatures of dominant STUB1-related ataxia and investigate the effects of pathogenic variants on STUB1 localization. METHODS Clinical and research-based exome sequencing was used to identify the causative variants for autosomal dominant ataxia in 2 families. Gross and microscopic neuropathologic evaluations were performed on the brains of 4 affected individuals in these families. RESULTS Mutations in STUB1 have been primarily associated with childhood-onset autosomal recessive ataxia, but here we report heterozygous missense variants in STUB1 (p.Ile53Thr and p.The37Leu) confirming the recent reports of autosomal dominant inheritance. Cerebellar atrophy on imaging and cognitive deficits often preceded ataxia. Unique neuropathologic examination of the 4 brains showed the marked loss of Purkinje cells (PCs) without microscopic evidence of significant pathology outside the cerebellum. The normal pattern of polarized somatodendritic STUB1 protein expression in PCs was lost, resulting in aberrant STUB1 localization in the distal PC dendritic arbors. CONCLUSIONS This study confirms a dominant inheritance pattern in STUB1-ataxia in addition to a recessive one and documents its association with cognitive and behavioral disability, including autism. In the most extensive analysis of cerebellar pathology in this disease, we demonstrate disruption of STUB1 protein in PCs as part of the underlying pathogenesis.
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Affiliation(s)
- Dong-Hui Chen
- Department of Neurology (D.-H.C., E.H., S.J., T.D.B.), University of Washington, Seattle; Department of Pathology (C.L., C.D.K.), Neuropathology Division, University of Washington, Seattle; Geriatric Research, Education, and Clinical Center (GRECC) (M.Y., D.G.C., W.H.R., T.D.B.), VA Puget Sound Health Care System, Seattle, WA; Department of Medicine (M.K.N.-K., W.H.R., T.D.B.), Division of Medical Genetics, University of Washington, Seattle; Mental Illness Research, Education, and Clinical Center (MIRECC) (J.S.M., W.H.R.), VA Puget Sound Health Care System, Seattle, WA; Department of Psychiatry and Behavioral Sciences (J.S.M., W.H.R.), University of Washington, Seattle; Department of Neurology (C.M.G.), University of Chicago, IL; Department of Medicine (D.G.C.), Division of Gerontology and Geriatric Medicine, University of Washington, Seattle; and Department of Pharmacology (D.G.C.), University of Washington, Seattle
| | - Caitlin Latimer
- Department of Neurology (D.-H.C., E.H., S.J., T.D.B.), University of Washington, Seattle; Department of Pathology (C.L., C.D.K.), Neuropathology Division, University of Washington, Seattle; Geriatric Research, Education, and Clinical Center (GRECC) (M.Y., D.G.C., W.H.R., T.D.B.), VA Puget Sound Health Care System, Seattle, WA; Department of Medicine (M.K.N.-K., W.H.R., T.D.B.), Division of Medical Genetics, University of Washington, Seattle; Mental Illness Research, Education, and Clinical Center (MIRECC) (J.S.M., W.H.R.), VA Puget Sound Health Care System, Seattle, WA; Department of Psychiatry and Behavioral Sciences (J.S.M., W.H.R.), University of Washington, Seattle; Department of Neurology (C.M.G.), University of Chicago, IL; Department of Medicine (D.G.C.), Division of Gerontology and Geriatric Medicine, University of Washington, Seattle; and Department of Pharmacology (D.G.C.), University of Washington, Seattle
| | - Mayumi Yagi
- Department of Neurology (D.-H.C., E.H., S.J., T.D.B.), University of Washington, Seattle; Department of Pathology (C.L., C.D.K.), Neuropathology Division, University of Washington, Seattle; Geriatric Research, Education, and Clinical Center (GRECC) (M.Y., D.G.C., W.H.R., T.D.B.), VA Puget Sound Health Care System, Seattle, WA; Department of Medicine (M.K.N.-K., W.H.R., T.D.B.), Division of Medical Genetics, University of Washington, Seattle; Mental Illness Research, Education, and Clinical Center (MIRECC) (J.S.M., W.H.R.), VA Puget Sound Health Care System, Seattle, WA; Department of Psychiatry and Behavioral Sciences (J.S.M., W.H.R.), University of Washington, Seattle; Department of Neurology (C.M.G.), University of Chicago, IL; Department of Medicine (D.G.C.), Division of Gerontology and Geriatric Medicine, University of Washington, Seattle; and Department of Pharmacology (D.G.C.), University of Washington, Seattle
| | - Mesaki Kenneth Ndugga-Kabuye
- Department of Neurology (D.-H.C., E.H., S.J., T.D.B.), University of Washington, Seattle; Department of Pathology (C.L., C.D.K.), Neuropathology Division, University of Washington, Seattle; Geriatric Research, Education, and Clinical Center (GRECC) (M.Y., D.G.C., W.H.R., T.D.B.), VA Puget Sound Health Care System, Seattle, WA; Department of Medicine (M.K.N.-K., W.H.R., T.D.B.), Division of Medical Genetics, University of Washington, Seattle; Mental Illness Research, Education, and Clinical Center (MIRECC) (J.S.M., W.H.R.), VA Puget Sound Health Care System, Seattle, WA; Department of Psychiatry and Behavioral Sciences (J.S.M., W.H.R.), University of Washington, Seattle; Department of Neurology (C.M.G.), University of Chicago, IL; Department of Medicine (D.G.C.), Division of Gerontology and Geriatric Medicine, University of Washington, Seattle; and Department of Pharmacology (D.G.C.), University of Washington, Seattle
| | - Elyana Heigham
- Department of Neurology (D.-H.C., E.H., S.J., T.D.B.), University of Washington, Seattle; Department of Pathology (C.L., C.D.K.), Neuropathology Division, University of Washington, Seattle; Geriatric Research, Education, and Clinical Center (GRECC) (M.Y., D.G.C., W.H.R., T.D.B.), VA Puget Sound Health Care System, Seattle, WA; Department of Medicine (M.K.N.-K., W.H.R., T.D.B.), Division of Medical Genetics, University of Washington, Seattle; Mental Illness Research, Education, and Clinical Center (MIRECC) (J.S.M., W.H.R.), VA Puget Sound Health Care System, Seattle, WA; Department of Psychiatry and Behavioral Sciences (J.S.M., W.H.R.), University of Washington, Seattle; Department of Neurology (C.M.G.), University of Chicago, IL; Department of Medicine (D.G.C.), Division of Gerontology and Geriatric Medicine, University of Washington, Seattle; and Department of Pharmacology (D.G.C.), University of Washington, Seattle
| | - Suman Jayadev
- Department of Neurology (D.-H.C., E.H., S.J., T.D.B.), University of Washington, Seattle; Department of Pathology (C.L., C.D.K.), Neuropathology Division, University of Washington, Seattle; Geriatric Research, Education, and Clinical Center (GRECC) (M.Y., D.G.C., W.H.R., T.D.B.), VA Puget Sound Health Care System, Seattle, WA; Department of Medicine (M.K.N.-K., W.H.R., T.D.B.), Division of Medical Genetics, University of Washington, Seattle; Mental Illness Research, Education, and Clinical Center (MIRECC) (J.S.M., W.H.R.), VA Puget Sound Health Care System, Seattle, WA; Department of Psychiatry and Behavioral Sciences (J.S.M., W.H.R.), University of Washington, Seattle; Department of Neurology (C.M.G.), University of Chicago, IL; Department of Medicine (D.G.C.), Division of Gerontology and Geriatric Medicine, University of Washington, Seattle; and Department of Pharmacology (D.G.C.), University of Washington, Seattle
| | - James S Meabon
- Department of Neurology (D.-H.C., E.H., S.J., T.D.B.), University of Washington, Seattle; Department of Pathology (C.L., C.D.K.), Neuropathology Division, University of Washington, Seattle; Geriatric Research, Education, and Clinical Center (GRECC) (M.Y., D.G.C., W.H.R., T.D.B.), VA Puget Sound Health Care System, Seattle, WA; Department of Medicine (M.K.N.-K., W.H.R., T.D.B.), Division of Medical Genetics, University of Washington, Seattle; Mental Illness Research, Education, and Clinical Center (MIRECC) (J.S.M., W.H.R.), VA Puget Sound Health Care System, Seattle, WA; Department of Psychiatry and Behavioral Sciences (J.S.M., W.H.R.), University of Washington, Seattle; Department of Neurology (C.M.G.), University of Chicago, IL; Department of Medicine (D.G.C.), Division of Gerontology and Geriatric Medicine, University of Washington, Seattle; and Department of Pharmacology (D.G.C.), University of Washington, Seattle
| | - Christopher M Gomez
- Department of Neurology (D.-H.C., E.H., S.J., T.D.B.), University of Washington, Seattle; Department of Pathology (C.L., C.D.K.), Neuropathology Division, University of Washington, Seattle; Geriatric Research, Education, and Clinical Center (GRECC) (M.Y., D.G.C., W.H.R., T.D.B.), VA Puget Sound Health Care System, Seattle, WA; Department of Medicine (M.K.N.-K., W.H.R., T.D.B.), Division of Medical Genetics, University of Washington, Seattle; Mental Illness Research, Education, and Clinical Center (MIRECC) (J.S.M., W.H.R.), VA Puget Sound Health Care System, Seattle, WA; Department of Psychiatry and Behavioral Sciences (J.S.M., W.H.R.), University of Washington, Seattle; Department of Neurology (C.M.G.), University of Chicago, IL; Department of Medicine (D.G.C.), Division of Gerontology and Geriatric Medicine, University of Washington, Seattle; and Department of Pharmacology (D.G.C.), University of Washington, Seattle
| | - C Dirk Keene
- Department of Neurology (D.-H.C., E.H., S.J., T.D.B.), University of Washington, Seattle; Department of Pathology (C.L., C.D.K.), Neuropathology Division, University of Washington, Seattle; Geriatric Research, Education, and Clinical Center (GRECC) (M.Y., D.G.C., W.H.R., T.D.B.), VA Puget Sound Health Care System, Seattle, WA; Department of Medicine (M.K.N.-K., W.H.R., T.D.B.), Division of Medical Genetics, University of Washington, Seattle; Mental Illness Research, Education, and Clinical Center (MIRECC) (J.S.M., W.H.R.), VA Puget Sound Health Care System, Seattle, WA; Department of Psychiatry and Behavioral Sciences (J.S.M., W.H.R.), University of Washington, Seattle; Department of Neurology (C.M.G.), University of Chicago, IL; Department of Medicine (D.G.C.), Division of Gerontology and Geriatric Medicine, University of Washington, Seattle; and Department of Pharmacology (D.G.C.), University of Washington, Seattle
| | - David G Cook
- Department of Neurology (D.-H.C., E.H., S.J., T.D.B.), University of Washington, Seattle; Department of Pathology (C.L., C.D.K.), Neuropathology Division, University of Washington, Seattle; Geriatric Research, Education, and Clinical Center (GRECC) (M.Y., D.G.C., W.H.R., T.D.B.), VA Puget Sound Health Care System, Seattle, WA; Department of Medicine (M.K.N.-K., W.H.R., T.D.B.), Division of Medical Genetics, University of Washington, Seattle; Mental Illness Research, Education, and Clinical Center (MIRECC) (J.S.M., W.H.R.), VA Puget Sound Health Care System, Seattle, WA; Department of Psychiatry and Behavioral Sciences (J.S.M., W.H.R.), University of Washington, Seattle; Department of Neurology (C.M.G.), University of Chicago, IL; Department of Medicine (D.G.C.), Division of Gerontology and Geriatric Medicine, University of Washington, Seattle; and Department of Pharmacology (D.G.C.), University of Washington, Seattle
| | - Wendy H Raskind
- Department of Neurology (D.-H.C., E.H., S.J., T.D.B.), University of Washington, Seattle; Department of Pathology (C.L., C.D.K.), Neuropathology Division, University of Washington, Seattle; Geriatric Research, Education, and Clinical Center (GRECC) (M.Y., D.G.C., W.H.R., T.D.B.), VA Puget Sound Health Care System, Seattle, WA; Department of Medicine (M.K.N.-K., W.H.R., T.D.B.), Division of Medical Genetics, University of Washington, Seattle; Mental Illness Research, Education, and Clinical Center (MIRECC) (J.S.M., W.H.R.), VA Puget Sound Health Care System, Seattle, WA; Department of Psychiatry and Behavioral Sciences (J.S.M., W.H.R.), University of Washington, Seattle; Department of Neurology (C.M.G.), University of Chicago, IL; Department of Medicine (D.G.C.), Division of Gerontology and Geriatric Medicine, University of Washington, Seattle; and Department of Pharmacology (D.G.C.), University of Washington, Seattle
| | - Thomas D Bird
- Department of Neurology (D.-H.C., E.H., S.J., T.D.B.), University of Washington, Seattle; Department of Pathology (C.L., C.D.K.), Neuropathology Division, University of Washington, Seattle; Geriatric Research, Education, and Clinical Center (GRECC) (M.Y., D.G.C., W.H.R., T.D.B.), VA Puget Sound Health Care System, Seattle, WA; Department of Medicine (M.K.N.-K., W.H.R., T.D.B.), Division of Medical Genetics, University of Washington, Seattle; Mental Illness Research, Education, and Clinical Center (MIRECC) (J.S.M., W.H.R.), VA Puget Sound Health Care System, Seattle, WA; Department of Psychiatry and Behavioral Sciences (J.S.M., W.H.R.), University of Washington, Seattle; Department of Neurology (C.M.G.), University of Chicago, IL; Department of Medicine (D.G.C.), Division of Gerontology and Geriatric Medicine, University of Washington, Seattle; and Department of Pharmacology (D.G.C.), University of Washington, Seattle
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Latimer C, Kópházi J, Eaton M, McClarren R. A geometry conforming, isogeometric, weighted least squares (WLS) method for the neutron transport equation with discrete ordinate (S N) angular discretisation. Progress in Nuclear Energy 2020. [DOI: 10.1016/j.pnucene.2019.103238] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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Latimer C, Kópházi J, Eaton M, McClarren R. A geometry conforming isogeometric method for the self-adjoint angular flux (SAAF) form of the neutron transport equation with a discrete ordinate ( SN) angular discretisation. ANN NUCL ENERGY 2020. [DOI: 10.1016/j.anucene.2019.107049] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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Braggin JE, Bucks SA, Course MM, Smith CL, Sopher B, Osnis L, Shuey KD, Domoto‐Reilly K, Caso C, Kinoshita C, Scherpelz KP, Cross C, Grabowski T, Nik SHM, Newman M, Garden GA, Leverenz JB, Tsuang D, Latimer C, Gonzalez‐Cuyar LF, Keene CD, Morrison RS, Rhoads K, Wijsman EM, Dorschner MO, Lardelli M, Young JE, Valdmanis PN, Bird TD, Jayadev S. Alternative splicing in a presenilin 2 variant associated with Alzheimer disease. Ann Clin Transl Neurol 2019; 6:762-777. [PMID: 31020001 PMCID: PMC6469258 DOI: 10.1002/acn3.755] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2018] [Revised: 01/25/2019] [Accepted: 02/12/2019] [Indexed: 12/19/2022] Open
Abstract
OBJECTIVE Autosomal-dominant familial Alzheimer disease (AD) is caused by by variants in presenilin 1 (PSEN1), presenilin 2 (PSEN2), and amyloid precursor protein (APP). Previously, we reported a rare PSEN2 frameshift variant in an early-onset AD case (PSEN2 p.K115Efs*11). In this study, we characterize a second family with the same variant and analyze cellular transcripts from both patient fibroblasts and brain lysates. METHODS We combined genomic, neuropathological, clinical, and molecular techniques to characterize the PSEN2 K115Efs*11 variant in two families. RESULTS Neuropathological and clinical evaluation confirmed the AD diagnosis in two individuals carrying the PSEN2 K115Efs*11 variant. A truncated transcript from the variant allele is detectable in patient fibroblasts while levels of wild-type PSEN2 transcript and protein are reduced compared to controls. Functional studies to assess biological consequences of the variant demonstrated that PSEN2 K115Efs*11 fibroblasts secrete less Aβ 1-40 compared to controls, indicating abnormal γ-secretase activity. Analysis of PSEN2 transcript levels in brain tissue revealed alternatively spliced PSEN2 products in patient brain as well as in sporadic AD and age-matched control brain. INTERPRETATION These data suggest that PSEN2 K115Efs*11 is a likely pathogenic variant associated with AD. We uncovered novel PSEN2 alternative transcripts in addition to previously reported PSEN2 splice isoforms associated with sporadic AD. In the context of a frameshift, these alternative transcripts return to the canonical reading frame with potential to generate deleterious protein products. Our findings suggest novel potential mechanisms by which PSEN variants may influence AD pathogenesis, highlighting the complexity underlying genetic contribution to disease risk.
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Affiliation(s)
| | | | - Meredith M. Course
- Division of Medical GeneticsDepartment of MedicineUniversity of WashingtonSeattleWashington
| | - Carole L. Smith
- Department of NeurologyUniversity of WashingtonSeattleWashington
| | - Bryce Sopher
- Department of NeurologyUniversity of WashingtonSeattleWashington
| | - Leah Osnis
- Department of NeurologyUniversity of WashingtonSeattleWashington
| | - Kiel D. Shuey
- Department of NeurologyUniversity of WashingtonSeattleWashington
| | | | - Christina Caso
- Department of NeurologyUniversity of WashingtonSeattleWashington
| | - Chizuru Kinoshita
- Department of Neurological SurgeryUniversity of WashingtonSeattleWashington
| | | | - Chloe Cross
- School of MedicineUniversity of UtahSalt Lake CityUtah
| | - Thomas Grabowski
- Department of NeurologyUniversity of WashingtonSeattleWashington
- Department of RadiologyUniversity of WashingtonSeattleWashington
| | - Seyyed H. M. Nik
- Genetics and EvolutionUniversity of AdelaideAdelaideSouth Australia
| | - Morgan Newman
- Genetics and EvolutionUniversity of AdelaideAdelaideSouth Australia
| | - Gwenn A. Garden
- Department of NeurologyUniversity of WashingtonSeattleWashington
- Department of PathologyUniversity of WashingtonSeattleWashington
| | | | - Debby Tsuang
- Department of NeurologyUniversity of WashingtonSeattleWashington
- Division of Medical GeneticsDepartment of MedicineUniversity of WashingtonSeattleWashington
- Department of Psychiatry & Behavioral SciencesUniversity of WashingtonSeattleWashington
- Geriatric Research, Education, and Clinical CenterVA Puget Sound Health Care SystemSeattleWashington
| | - Caitlin Latimer
- Department of PathologyUniversity of WashingtonSeattleWashington
| | | | | | | | | | - Ellen M. Wijsman
- Division of Medical GeneticsDepartment of MedicineUniversity of WashingtonSeattleWashington
- Univeristy of Washington Department of BiostatisticsSeattleWashington
| | - Michael O. Dorschner
- Department of PathologyUniversity of WashingtonSeattleWashington
- Department of Psychiatry & Behavioral SciencesUniversity of WashingtonSeattleWashington
- UW Medicine Center for Precision DiagnosticsUniversity of WashingtonSeattleWashington
| | - Michael Lardelli
- Genetics and EvolutionUniversity of AdelaideAdelaideSouth Australia
| | - Jessica E. Young
- Department of PathologyUniversity of WashingtonSeattleWashington
| | - Paul N. Valdmanis
- Division of Medical GeneticsDepartment of MedicineUniversity of WashingtonSeattleWashington
| | - Thomas D. Bird
- Department of NeurologyUniversity of WashingtonSeattleWashington
- Division of Medical GeneticsDepartment of MedicineUniversity of WashingtonSeattleWashington
- Geriatric Research, Education, and Clinical CenterVA Puget Sound Health Care SystemSeattleWashington
| | - Suman Jayadev
- Department of NeurologyUniversity of WashingtonSeattleWashington
- Division of Medical GeneticsDepartment of MedicineUniversity of WashingtonSeattleWashington
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Tita AT, Jablonski KA, Bailit JL, Grobman WA, Wapner RJ, Reddy UM, Varner MW, Thorp JM, Leveno KJ, Caritis SN, Iams JD, Saade G, Sorokin Y, Rouse DJ, Blackwell SC, Tolosa JE, Wallace M, Northen A, Grant J, Colquitt C, Mallett G, Ramos-Brinson M, Roy A, Stein L, Campbell P, Collins C, Jackson N, Dinsmoor M, Senka J, Paychek K, Peaceman A, Talucci M, Zylfijaj M, Reid Z, Leed R, Benson J, Forester S, Kitto C, Davis S, Falk M, Perez C, Hill K, Sowles A, Postma J, Alexander S, Andersen G, Scott V, Morby V, Jolley K, Miller J, Berg B, Dorman K, Mitchell J, Kaluta E, Clark K, Spicer K, Timlin S, Wilson K, Moseley L, Santillan M, Price J, Buentipo K, Bludau V, Thomas T, Fay L, Melton C, Kingsbery J, Benezue R, Simhan H, Bickus M, Fischer D, Kamon T, DeAngelis D, Mercer B, Milluzzi C, Dalton W, Dotson T, McDonald P, Brezine C, McGrail A, Latimer C, Guzzo L, Johnson F, Gerwig L, Fyffe S, Loux D, Frantz S, Cline D, Wylie S, Shubert P, Moss J, Salazar A, Acosta A, Hankins G, Hauff N, Palmer L, Lockhart P, Driscoll D, Wynn L, Sudz C, Dengate D, Girard C, Field S, Breault P, Smith F, Annunziata N, Allard D, Silva J, Gamage M, Hunt J, Tillinghast J, Corcoran N, Jimenez M, Ortiz F, Givens P, Rech B, Moran C, Hutchinson M, Spears Z, Carreno C, Heaps B, Zamora G, Seguin J, Rincon M, Snyder J, Farrar C, Lairson E, Bonino C, Smith W, Beach K, Van Dyke S, Butcher S, Thom E, Zhao Y, McGee P, Momirova V, Palugod R, Reamer B, Larsen M, Spong C, Tolivaisa S, VanDorsten J. Neonatal outcomes of elective early-term births after demonstrated fetal lung maturity. Am J Obstet Gynecol 2018; 219:296.e1-296.e8. [PMID: 29800541 DOI: 10.1016/j.ajog.2018.05.011] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2016] [Revised: 11/09/2016] [Accepted: 05/14/2018] [Indexed: 10/16/2022]
Abstract
BACKGROUND Studies of early-term birth after demonstrated fetal lung maturity show that respiratory and other outcomes are worse with early-term birth (370-386 weeks) even after demonstrated fetal lung maturity when compared with full-term birth (390-406 weeks). However, these studies included medically indicated births and are therefore potentially limited by confounding by the indication for delivery. Thus, the increase in adverse outcomes might be due to the indication for early-term birth rather than the early-term birth itself. OBJECTIVE We examined the prevalence and risks of adverse neonatal outcomes associated with early-term birth after confirmed fetal lung maturity as compared with full-term birth in the absence of indications for early delivery. STUDY DESIGN This is a secondary analysis of an observational study of births to 115,502 women in 25 hospitals in the United States from 2008 through 2011. Singleton nonanomalous births at 37-40 weeks with no identifiable indication for delivery were included; early-term births after positive fetal lung maturity testing were compared with full-term births. The primary outcome was a composite of death, ventilator for ≥2 days, continuous positive airway pressure, proven sepsis, pneumonia or meningitis, treated hypoglycemia, hyperbilirubinemia (phototherapy), and 5-minute Apgar <7. Logistic regression and propensity score matching (both 1:1 and 1:2) were used. RESULTS In all, 48,137 births met inclusion criteria; the prevalence of fetal lung maturity testing in the absence of medical or obstetric indications for early delivery was 0.52% (n = 249). There were 180 (0.37%) early-term births after confirmed pulmonary maturity and 47,957 full-term births. Women in the former group were more likely to be non-Hispanic white, smoke, have received antenatal steroids, have induction, and have a cesarean. Risks of the composite (16.1% vs 5.4%; adjusted odds ratio, 3.2; 95% confidence interval, 2.1-4.8 from logistic regression) were more frequent with elective early-term birth. Propensity scores matching confirmed the increased primary composite in elective early-term births: adjusted odds ratios, 4.3 (95% confidence interval, 1.8-10.5) for 1:1 and 3.5 (95% confidence interval, 1.8-6.5) for 1:2 matching. Among components of the primary outcome, CPAP use and hyperbilirubinemia requiring phototherapy were significantly increased. Transient tachypnea of the newborn, neonatal intensive care unit admission, and prolonged neonatal intensive care unit stay (>2 days) were also increased with early-term birth. CONCLUSION Even with confirmed pulmonary maturity, early-term birth in the absence of medical or obstetric indications is associated with worse neonatal respiratory and hepatic outcomes compared with full-term birth, suggesting relative immaturity of these organ systems in early-term births.
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Manuck TA, Rice MM, Bailit JL, Grobman WA, Reddy UM, Wapner RJ, Thorp JM, Caritis SN, Prasad M, Tita AT, Saade GR, Sorokin Y, Rouse DJ, Blackwell SC, Tolosa JE, Varner M, Hill K, Sowles A, Postma J, Alexander S, Andersen G, Scott V, Morby V, Jolley K, Miller J, Berg B, Talucci M, Zylfijaj M, Reid Z, Leed R, Benson J, Forester S, Kitto C, Davis S, Falk M, Perez C, Dorman K, Mitchell J, Kaluta E, Clark K, Spicer K, Timlin S, Wilson K, Leveno K, Moseley L, Santillan M, Price J, Buentipo K, Bludau V, Thomas T, Fay L, Melton C, Kingsbery J, Benezue R, Simhan H, Bickus M, Fischer D, Kamon T, DeAngelis D, Mercer B, Milluzzi C, Dalton W, Dotson T, McDonald P, Brezine C, McGrail A, Latimer C, Guzzo L, Johnson F, Gerwig L, Fyffe S, Loux D, Frantz S, Cline D, Wylie S, Iams J, Wallace M, Northen A, Grant J, Colquitt C, Rouse D, Andrews W, Mallett G, Ramos-Brinson M, Roy A, Stein L, Campbell P, Collins C, Jackson N, Dinsmoor M, Senka J, Paychek K, Peaceman A, Moss J, Salazar A, Acosta A, Hankins G, Hauff N, Palmer L, Lockhart P, Driscoll D, Wynn L, Sudz C, Dengate D, Girard C, Field S, Breault P, Smith F, Annunziata N, Allard D, Silva J, Gamage M, Hunt J, Tillinghast J, Corcoran N, Jimenez M, Ortiz F, Givens P, Rech B, Moran C, Hutchinson M, Spears Z, Carreno C, Heaps B, Zamora G, Seguin J, Rincon M, Snyder J, Farrar C, Lairson E, Bonino C, Smith W, Beach K, Van Dyke S, Butcher S, Thom E, Zhao Y, McGee P, Momirova V, Palugod R, Reamer B, Larsen M, Williams T, Spangler T, Lozitska A, Spong C, Tolivaisa S, VanDorsten J. Preterm neonatal morbidity and mortality by gestational age: a contemporary cohort. Am J Obstet Gynecol 2016; 215:103.e1-103.e14. [PMID: 26772790 DOI: 10.1016/j.ajog.2016.01.004] [Citation(s) in RCA: 290] [Impact Index Per Article: 36.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2015] [Revised: 12/28/2015] [Accepted: 01/02/2016] [Indexed: 11/25/2022]
Abstract
BACKGROUND Although preterm birth <37 weeks' gestation is the leading cause of neonatal morbidity and mortality in the United States, the majority of data regarding preterm neonatal outcomes come from older studies, and many reports have been limited to only very preterm neonates. Delineation of neonatal outcomes by delivery gestational age is needed to further clarify the continuum of mortality and morbidity frequencies among preterm neonates. OBJECTIVE We sought to describe the contemporary frequencies of neonatal death, neonatal morbidities, and neonatal length of stay across the spectrum of preterm gestational ages. STUDY DESIGN This was a secondary analysis of an obstetric cohort of 115,502 women and their neonates who were born in 25 hospitals nationwide, 2008 through 2011. All liveborn nonanomalous singleton preterm (23.0-36.9 weeks of gestation) neonates were included in this analysis. The frequency of neonatal death, major neonatal morbidity (intraventricular hemorrhage grade III/IV, seizures, hypoxic-ischemic encephalopathy, necrotizing enterocolitis stage II/III, bronchopulmonary dysplasia, persistent pulmonary hypertension), and minor neonatal morbidity (hypotension requiring treatment, intraventricular hemorrhage grade I/II, necrotizing enterocolitis stage I, respiratory distress syndrome, hyperbilirubinemia requiring treatment) were calculated by delivery gestational age; each neonate was classified once by the worst outcome for which criteria was met. RESULTS In all, 8334 deliveries met inclusion criteria. There were 119 (1.4%) neonatal deaths. In all, 657 (7.9%) neonates had major morbidity, 3136 (37.6%) had minor morbidity, and 4422 (53.1%) survived without any of the studied morbidities. Deaths declined rapidly with each advancing week of gestation. This decline in death was accompanied by an increase in major neonatal morbidity, which peaked at 54.8% at 25 weeks of gestation. As frequencies of death and major neonatal morbidity fell, minor neonatal morbidity increased, peaking at 81.7% at 31 weeks of gestation. The frequency of all morbidities fell >32 weeks. After 25 weeks, neonatal length of hospital stay decreased significantly with each additional completed week of pregnancy; among babies delivered from 26-32 weeks of gestation, each additional week in utero reduced the subsequent length of neonatal hospitalization by a minimum of 8 days. The median postmenstrual age at discharge nadired around 36 weeks' postmenstrual age for babies born at 31-35 weeks of gestation. CONCLUSION Our data show that there is a continuum of outcomes, with each additional week of gestation conferring survival benefit while reducing the length of initial hospitalization. These contemporary data can be useful for patient counseling regarding preterm outcomes.
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Bailit JL, Grobman W, Zhao Y, Wapner RJ, Reddy UM, Varner MW, Leveno KJ, Caritis SN, Iams JD, Tita AT, Saade G, Sorokin Y, Rouse DJ, Blackwell SC, Tolosa JE, VanDorsten JP, Mercer B, Milluzzi C, Dalton W, Dotson T, McDonald P, Brezine C, McGrail A, Mallett G, Ramos-Brinson M, Roy A, Stein L, Campbell P, Collins C, Jackson N, Dinsmoor M, Senka J, Paychek K, Peaceman A, Talucci M, Zylfijaj M, Reid Z, Leed R, Benson J, Forester S, Kitto C, Davis S, Falk M, Perez C, Hill K, Sowles A, Postma J, Alexander S, Andersen G, Scott V, Morby V, Jolley K, Miller J, Berg B, Thorp J, Dorman K, Mitchell J, Kaluta E, Clark K, Spicer K, Timlin S, Wilson K, Moseley L, Santillan M, Price J, Buentipo K, Bludau V, Thomas T, Fay L, Melton C, Kingsbery J, Benezue R, Simhan H, Bickus M, Fischer D, Kamon T, DeAngelis D, Shubert P, Latimer C, Guzzo L, Johnson F, Gerwig L, Fyffe S, Loux D, Frantz S, Cline D, Wylie S, Iams J, Wallace M, Northen A, Grant J, Colquitt C, Moss J, Salazar A, Acosta A, Hankins G, Hauff N, Palmer L, Lockhart P, Driscoll D, Wynn L, Sudz C, Dengate D, Girard C, Field S, Breault P, Smith F, Annunziata N, Allard D, Silva J, Gamage M, Hunt J, Tillinghast J, Corcoran N, Jimenez M, Ortiz F, Givens P, Rech B, Moran C, Hutchinson M, Spears Z, Carreno C, Heaps B, Zamora G, Seguin J, Rincon M, Snyder J, Farrar C, Lairson E, Bonino C, Smith W, Beach K, Van Dyke S, Butcher S, Thom E, Rice M, McGee P, Momirova V, Palugod R, Reamer B, Larsen M, Williams T, Spong C, Tolivaisa S. Nonmedically indicated induction vs expectant treatment in term nulliparous women. Am J Obstet Gynecol 2015; 212:103.e1-7. [PMID: 24983681 DOI: 10.1016/j.ajog.2014.06.054] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2014] [Revised: 05/27/2014] [Accepted: 06/23/2014] [Indexed: 10/25/2022]
Abstract
OBJECTIVE The purpose of this study was to compare maternal and neonatal outcomes in nulliparous women with nonmedically indicated inductions at term vs those expectantly treated. STUDY DESIGN Data were obtained from maternal and neonatal charts for all deliveries on randomly selected days across 25 US hospitals over a 3-year period. A low-risk subset of nulliparous women with vertex nonanomalous singleton gestations who delivered 38 0/7 to 41 6/7 weeks were selected. Maternal and neonatal outcomes for nonmedically indicated induction within each week were compared with women who did not undergo nonmedically indicated induction during that week. Multivariable analysis was used to adjust for hospital, maternal age, race/ethnicity, body mass index, cigarette use, and insurance status. RESULTS We found 31,169 women who met our criteria. Neonatal complications were either less frequent with nonmedically indicated induction or no different between groups. Nonmedically indicated induction was associated with less frequent peripartum infections (odds ratio [OR], 0.39; 95% confidence interval [CI], 0.16-0.98) at 38 weeks of gestation and less frequent third- and fourth-degree lacerations (OR, 0.60; 95% CI, 0.42-0.86) and less frequent peripartum infections (OR, 0.66; 95% CI, 0.49-0.90) at 39 weeks of gestation. Nonmedically indicated induction was associated with a longer admission-to-delivery time by approximately 3-4 hours and increased odds of cesarean delivery at 38 (OR, 1.50; 95% CI, 1.08-2.08) and 40 weeks (OR, 1.30; 95% CI, 1.15-1.46) of gestation. CONCLUSION At 39 weeks of gestation, nonmedically indicated induction is associated with lower maternal and neonatal morbidity than women who are expectantly treated.
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Abstract
This paper reports the operation of robust attentional bias to the top and right during perception of small, single geometric forms. Same/different judgements of successively presented standard and comparison forms are faster when local differences are located at top and right rather than in other regions of the forms. The bias persists when form size is reduced to approximately one degree of visual angle, and it is unaffected by saccadic eye movements and by instructions to attend to other reliably differentiating regions of the forms. Results lend support in various degrees to two of the possible explanations of the bias: (1) a static, skewed distribution of attentional resources around eye fixation; and (2) biased, covert scanning that commences invariably at the top and right of stimulus forms. Origins of the bias in terms of possible left-hemispheric capacity for constructing representations of visual stimuli from parts, as well as in terms of reading experience and prevailing optic flow during locomotion through space are considered. Recent investigations of conditions under which the bias can be maintained or reduced are mentioned.
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Affiliation(s)
- C Latimer
- Department of Psychology, University of Sydney, NSW, Australia.
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Abstract
Bilateral symmetry is common in nature and most animals seem able to perceive it. Many species use judgements of symmetry in various behaviours, including mate selection [1-3]. Originally, however, symmetry perception may have developed as a tool for generating object-centered, rather than viewer-centered, descriptions of objects, facilitating recognition irrespective of position or orientation [4]. There is evidence that the visual system treats the orientation of axes-of-symmetry in the same way it treats in orientation of luminance-defined contours [5], suggesting that axes-of-symmetry act as 'processing tokens' [6]. We have investigated the characteristics of neural mechanisms giving rise to the perceived orientation of axes-of-symmetry. We induced tilt aftereffects with symmetrical dot patterns, eliciting perceived angle expansion and contraction effects like those usually observed with luminance-defined contours [7,8]. Induction of aftereffects during binocular rivalry resulted in a reduction of the magnitude of these effects, consistent with the aftereffects being mediated in extrastriate visual cortex, probably between visual areas V2 and MT [9]. In a second experiment in which the aftereffects were induced monocularly, their magnitudes were measured in the unadapted eye. Contraction effects transferred completely, suggesting that they are mediated by binocular cells. Expansion effects did not transfer completely, consistent with their having a monocular component. These data suggest that information about the orientation of axes-of-symmetry may be available as early as area V1, but that processing continues in extrastriate cortex.
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Affiliation(s)
- R van der Zwan
- Department of Psychology, University of Sydney, New South Wales, Australia.
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Ramudu L, Bellet B, Higgs J, Latimer C, Smith R. How effectively do we use double staff time? AUST J ADV NURS 1994; 11:5-10. [PMID: 7980883] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
This paper describes a group of registered nurses' investigation of the use of 'double staff time' in a neonatal unit. Using participatory action research, the nurses explored why it was difficult for the unit's staff to take part in continuing education programs that were provided during double staff time. The group drew on their personal experiences as well as data collected from peers in the neonatal unit. The data illustrated that nursing activities and nursing handovers were two factors that encroached on nurses' professional development time.
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Abstract
This paper reports experimental data and results of network simulations in a project on symmetry detection in small 6 x 6 binary patterns. Patterns were symmetrical about the vertical, horizontal, positive-oblique, or negative-oblique axis, and were viewed on a computer screen. Encouraged to react quickly and accurately, subjects indicated axis of symmetry by pressing one of four designated keys. Detection times and errors were recorded. Back-propagation networks were trained to categorize the patterns on the basis of axis of symmetry, and, by employing cascaded activation functions on their output units, it was possible to compare network performance with subjects' detection times. Best correspondence between simulated and human detection-time functions was observed after the networks had been given significantly more training on patterns symmetrical about the vertical and the horizontal axes. In comparison with no pre-training and pre-training with asymmetric patterns, pre-training networks with sets of single vertical, horizontal, positive-oblique or negative-oblique bars speeded subsequent learning of symmetrical patterns. Results are discussed within the context of theories suggesting that faster detection of symmetries about the vertical and horizontal axes may be due to significantly more early experience with stimuli oriented on these axes.
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Affiliation(s)
- C Latimer
- Department of Psychology, University of Sydney, New South Wates, Australia
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Affiliation(s)
- E Gordon
- Neuroscience Unit, Westmead Hospital, N.S.W., Sydney, Australia
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Rodríguez W, Irrizarry JF, Latimer C. Non-steroidal anti-inflammatory drugs induced gastropathy: endoscopic findings in rheumatic patients. Bol Asoc Med P R 1988; 80:366-8. [PMID: 3265062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
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Szymanski C, Latimer C, Wyman M, Wilkie D. Value of article on tinted contact lenses disputed. J Am Vet Med Assoc 1986; 188:1138. [PMID: 3721954] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
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Latimer C. Nutrition in the eastern Solomon Islands. Nurs Mirror Midwives J 1971; 133:40-1. [PMID: 5209985] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
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