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Golan Shekhtman S, Boccara E, Ravona-Springer R, Inbar Y, Zelicha H, Livny A, Bendlin BB, Lesman-Segev O, Yore I, Heymann A, Sano M, Mardor Y, Azuri J, Schnaider Beeri M. Abdominal fat depots are related to lower cognitive functioning and brain volumes in middle-aged males at high Alzheimer's risk. Obesity (Silver Spring) 2024; 32:1009-1022. [PMID: 38410053 DOI: 10.1002/oby.24004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2023] [Revised: 12/24/2023] [Accepted: 01/07/2024] [Indexed: 02/28/2024]
Abstract
OBJECTIVE High BMI, which poorly represents specific fat depots, is linked to poorer cognition and higher dementia risk, with different associations between sexes. This study examined associations of abdominal fat depots with cognition and brain volumes and whether sex modifies this association. METHODS A total of 204 healthy middle-aged offspring of Alzheimer's dementia patients (mean age = 59.44, 60% females) underwent abdominal magnetic resonance imaging to quantify hepatic, pancreatic, visceral, and subcutaneous adipose tissue and to assess cognition and brain volumes. RESULTS In the whole sample, higher hepatic fat percentage was associated with lower total gray matter volume (β = -0.17, p < 0.01). Primarily in males, higher pancreatic fat percentage was associated with lower global cognition (males: β = -0.27, p = 0.03; females: β = 0.01, p = 0.93) executive function (males: β = -0.27, p = 0.03; females: β = 0.02, p = 0.87), episodic memory (males: β = -0.28, p = 0.03; females: β = 0.07, p = 0.48), and inferior frontal gyrus volume (males: β = -0.28, p = 0.02; females: β = 0.10, p = 0.33). Visceral and subcutaneous adipose tissue was inversely associated with middle frontal and superior frontal gyrus volumes in males and females. CONCLUSIONS In middle-aged males at high Alzheimer's dementia risk, but not in females, higher pancreatic fat was associated with lower cognition and brain volumes. These findings suggest a potential sex-specific link between distinct abdominal fat with brain health.
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Affiliation(s)
- Sapir Golan Shekhtman
- Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- The Joseph Sagol Neuroscience Center, Sheba Medical Center, Tel HaShomer, Israel
| | - Ethel Boccara
- The Joseph Sagol Neuroscience Center, Sheba Medical Center, Tel HaShomer, Israel
- Department of Psychology, Bar Ilan University, Ramat Gan, Israel
| | - Ramit Ravona-Springer
- Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- The Joseph Sagol Neuroscience Center, Sheba Medical Center, Tel HaShomer, Israel
- Memory Clinic, Sheba Medical Center, Tel HaShomer, Israel
| | - Yael Inbar
- Department of Diagnostic Imaging, Sheba Medical Center, Tel HaShomer, Israel
| | - Hila Zelicha
- The Health & Nutrition Innovative International Research Center, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Abigail Livny
- Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- The Joseph Sagol Neuroscience Center, Sheba Medical Center, Tel HaShomer, Israel
- Department of Diagnostic Imaging, Sheba Medical Center, Tel HaShomer, Israel
- The Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
| | - Barbara B Bendlin
- Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Orit Lesman-Segev
- The Joseph Sagol Neuroscience Center, Sheba Medical Center, Tel HaShomer, Israel
- Department of Diagnostic Imaging, Sheba Medical Center, Tel HaShomer, Israel
| | - Iscka Yore
- The Joseph Sagol Neuroscience Center, Sheba Medical Center, Tel HaShomer, Israel
| | | | - Mary Sano
- Geriatric Research Education and Clinical Center, James J. Peters VA Medical Center, Bronx, New York, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Yael Mardor
- Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- Department of Diagnostic Imaging, Sheba Medical Center, Tel HaShomer, Israel
| | - Joseph Azuri
- Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- Maccabi Healthcare Services, Tel Aviv, Israel
| | - Michal Schnaider Beeri
- The Joseph Sagol Neuroscience Center, Sheba Medical Center, Tel HaShomer, Israel
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, USA
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Bartels CM, Chen Y, Powell WR, Rosenkranz MA, Bendlin BB, Kramer J, Busse WW, Kind A. Alzheimer's Incidence and Prevalence with and without Asthma: A Medicare cohort study. J Allergy Clin Immunol 2024:S0091-6749(24)00406-8. [PMID: 38670235 DOI: 10.1016/j.jaci.2024.04.008] [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] [Received: 09/26/2023] [Revised: 03/22/2024] [Accepted: 04/05/2024] [Indexed: 04/28/2024]
Abstract
BACKGROUND International data suggest that asthma, like other inflammatory diseases, might increase Alzheimer's disease (AD) risk. OBJECTIVE To explore risk pathways and future mitigation strategies by comparing diagnostic claims-based AD incidence and prevalence among US patients with asthma to non-asthma patients. METHODS This cohort study included a national Medicare 20% random sample 2013-2015. Adult patients with >12 months continuous Medicare with asthma were compared to non-asthma subjects overall and as matched. Asthma was defined by one inpatient or two outpatient codes for asthma. The main outcomes were two-year incident or prevalent AD defined as any codes for ICD-9 331.0 or ICD-10 G30.0, G30.1, G30.8, G30.9. RESULTS Among 5,460,732 total beneficiaries, 678,730 patients were identified with baseline asthma and more often identified as Black or Hispanic, were Medicaid eligible, or resided in a highly disadvantaged neighborhood than those without asthma. Two-year incidence of AD was 1.4% with asthma vs 1.1% without; prevalence was 7.8% vs 5.4% (both p=<0.001). Per 100,000 patients over two years, 303 more incident AD diagnoses occurred in asthma, with 2,425 more prevalent cases (p<0.001). Multivariable models showed asthma had greater odds of two-year AD incidence [AOR 1.33 (1.29-1.36); matched 1.2 (1.17-1.24)] and prevalence [AOR 1.48 (1.47-1.50); matched 1.25 (1.22-1.27)). CONCLUSION Asthma was associated with 20-33% increased two-year incidence and 25-48% increased prevalence of claims-based Alzheimer's disease in this nationally representative US sample. Future research should investigate risk pathways of underlying comorbidities and social determinants, as well as whether there are potential asthma treatments that may preserve brain health.
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Affiliation(s)
- Christie M Bartels
- Department of Medicine, Rheumatology Division, University of Wisconsin School of Medicine and Public Health, Madison, WI, US; Center for Health Disparities Research, University of Wisconsin School of Medicine and Public Health, Madison, WI, US.
| | - Yi Chen
- Department of Biostatistics and Medical informatics, University of Wisconsin School of Medicine and Public Health, Madison, WI, US
| | - W Ryan Powell
- Center for Health Disparities Research, University of Wisconsin School of Medicine and Public Health, Madison, WI, US; Department of Medicine, Geriatrics Division, University of Wisconsin School of Medicine and Public Health, Madison, WI, US
| | - Melissa A Rosenkranz
- Department of Psychiatry, University of Wisconsin School of Medicine and Public Health, Madison, WI, US; Center for Healthy Minds, University of Wisconsin-Madison, Madison, WI, US
| | - Barbara B Bendlin
- Center for Health Disparities Research, University of Wisconsin School of Medicine and Public Health, Madison, WI, US; Department of Medicine, Geriatrics Division, University of Wisconsin School of Medicine and Public Health, Madison, WI, US
| | - Joseph Kramer
- Department of Biostatistics and Medical informatics, University of Wisconsin School of Medicine and Public Health, Madison, WI, US
| | - William W Busse
- Department of Medicine, Division of Allergy, Pulmonary, and Critical Care Medicine; University of Wisconsin School of Medicine and Public Health, Madison, WI, US
| | - Amy Kind
- Center for Health Disparities Research, University of Wisconsin School of Medicine and Public Health, Madison, WI, US; Department of Medicine, Geriatrics Division, University of Wisconsin School of Medicine and Public Health, Madison, WI, US
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Melcher EM, Vilen L, Pfaff A, Lim S, DeWitt A, Powell WR, Bendlin BB, Kind AJH. Deriving life-course residential histories in brain bank cohorts: A feasibility study. Alzheimers Dement 2024. [PMID: 38497250 DOI: 10.1002/alz.13773] [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: 12/28/2023] [Revised: 02/05/2024] [Accepted: 02/06/2024] [Indexed: 03/19/2024]
Abstract
INTRODUCTION The exposome is theorized to interact with biological mechanisms to influence risk for Alzheimer's disease but is not well-integrated into existing Alzheimer's Disease Research Center (ADRC) brain bank data collection. METHODS We apply public data tracing, an iterative, dual abstraction and validation process rooted in rigorous historic archival methods, to develop life-course residential histories for 1254 ADRC decedents. RESULTS The median percentage of the life course with an address is 78.1% (IQR 24.9); 56.5% of the sample has an address for at least 75% of their life course. Archivists had 89.7% agreement at the address level. This method matched current residential survey methodology 97.4% on average. DISCUSSION This novel method demonstrates feasibility, reproducibility, and rigor for historic data collection. To our knowledge, this is the first study to show that public data tracing methods for brain bank decedent residential history development can be used to better integrate the social exposome with biobank specimens. HIGHLIGHTS Public data tracing compares favorably to survey-based residential history. Public data tracing is feasible and reproducible between archivists. Archivists achieved 89.7% agreement at the address level. This method identifies residences for nearly 80% of life-years, on average. This novel method enables brain banks to add social characterizations.
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Affiliation(s)
- Eleanna M Melcher
- Department of Population Health Sciences, University of Wisconsin School of Medicine and Public Health, Warf Office Bldg, Madison, USA
- Center for Health Disparities Research, University of Wisconsin School of Medicine and Public Health, UW Hospital and Clinics, Madison, USA
| | - Leigha Vilen
- Center for Health Disparities Research, University of Wisconsin School of Medicine and Public Health, UW Hospital and Clinics, Madison, USA
| | - Aly Pfaff
- Center for Health Disparities Research, University of Wisconsin School of Medicine and Public Health, UW Hospital and Clinics, Madison, USA
| | - Sarah Lim
- Center for Health Disparities Research, University of Wisconsin School of Medicine and Public Health, UW Hospital and Clinics, Madison, USA
| | - Amanda DeWitt
- Center for Health Disparities Research, University of Wisconsin School of Medicine and Public Health, UW Hospital and Clinics, Madison, USA
| | - W Ryan Powell
- Center for Health Disparities Research, University of Wisconsin School of Medicine and Public Health, UW Hospital and Clinics, Madison, USA
- Department of Medicine Division of Geriatrics and Gerontology, University of Wisconsin School of Medicine and Public Health, 1685 Highland Avenue, 5158, Medical Foundation Centennial Building, Madison, USA
| | - Barbara B Bendlin
- Center for Health Disparities Research, University of Wisconsin School of Medicine and Public Health, UW Hospital and Clinics, Madison, USA
- Department of Medicine Division of Geriatrics and Gerontology, University of Wisconsin School of Medicine and Public Health, 1685 Highland Avenue, 5158, Medical Foundation Centennial Building, Madison, USA
- Wisconsin Alzheimer's Disease Research Center, Madison, USA
| | - Amy J H Kind
- Center for Health Disparities Research, University of Wisconsin School of Medicine and Public Health, UW Hospital and Clinics, Madison, USA
- Department of Medicine Division of Geriatrics and Gerontology, University of Wisconsin School of Medicine and Public Health, 1685 Highland Avenue, 5158, Medical Foundation Centennial Building, Madison, USA
- Wisconsin Alzheimer's Disease Research Center, Madison, USA
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Martinelli F, Heinken A, Henning AK, Ulmer MA, Hensen T, González A, Arnold M, Asthana S, Budde K, Engelman CD, Estaki M, Grabe HJ, Heston MB, Johnson S, Kastenmüller G, Martino C, McDonald D, Rey FE, Kilimann I, Peters O, Wang X, Spruth EJ, Schneider A, Fliessbach K, Wiltfang J, Hansen N, Glanz W, Buerger K, Janowitz D, Laske C, Munk MH, Spottke A, Roy N, Nauck M, Teipel S, Knight R, Kaddurah-Daouk RF, Bendlin BB, Hertel J, Thiele I. Whole-body metabolic modelling reveals microbiome and genomic interactions on reduced urine formate levels in Alzheimer's disease. Sci Rep 2024; 14:6095. [PMID: 38480804 PMCID: PMC10937638 DOI: 10.1038/s41598-024-55960-3] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Accepted: 02/29/2024] [Indexed: 03/17/2024] Open
Abstract
In this study, we aimed to understand the potential role of the gut microbiome in the development of Alzheimer's disease (AD). We took a multi-faceted approach to investigate this relationship. Urine metabolomics were examined in individuals with AD and controls, revealing decreased formate and fumarate concentrations in AD. Additionally, we utilised whole-genome sequencing (WGS) data obtained from a separate group of individuals with AD and controls. This information allowed us to create and investigate host-microbiome personalised whole-body metabolic models. Notably, AD individuals displayed diminished formate microbial secretion in these models. Additionally, we identified specific reactions responsible for the production of formate in the host, and interestingly, these reactions were linked to genes that have correlations with AD. This study suggests formate as a possible early AD marker and highlights genetic and microbiome contributions to its production. The reduced formate secretion and its genetic associations point to a complex connection between gut microbiota and AD. This holistic understanding might pave the way for novel diagnostic and therapeutic avenues in AD management.
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Affiliation(s)
- Filippo Martinelli
- School of Medicine, University of Galway, Galway, Ireland
- The Ryan Institute, University of Galway, Galway, Ireland
| | - Almut Heinken
- School of Medicine, University of Galway, Galway, Ireland
- The Ryan Institute, University of Galway, Galway, Ireland
- Inserm UMRS 1256 NGERE, University of Lorraine, Nancy, France
| | - Ann-Kristin Henning
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Maria A Ulmer
- Institute of Computational Biology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Tim Hensen
- School of Medicine, University of Galway, Galway, Ireland
- The Ryan Institute, University of Galway, Galway, Ireland
| | - Antonio González
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Matthias Arnold
- Institute of Computational Biology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
- Department of Psychiatry and Behavioural Sciences, Duke University, Durham, NC, USA
| | - Sanjay Asthana
- Wisconsin Alzheimer's Disease Research Center, School of Medicine and Public Health, University of Wisconsin, Madison, USA
| | - Kathrin Budde
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Corinne D Engelman
- Department of Population Health Sciences, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA
| | - Mehrbod Estaki
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Hans-Jörgen Grabe
- German Center of Neurodegenerative Diseases (DZNE), Rostock/Greifswald, Germany
| | - Margo B Heston
- Wisconsin Alzheimer's Disease Research Center, School of Medicine and Public Health, University of Wisconsin, Madison, USA
| | - Sterling Johnson
- Wisconsin Alzheimer's Disease Research Center, School of Medicine and Public Health, University of Wisconsin, Madison, USA
| | - Gabi Kastenmüller
- Institute of Computational Biology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Cameron Martino
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Daniel McDonald
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Federico E Rey
- Department of Bacteriology, University of Wisconsin-Madison, Madison, WI, USA
| | - Ingo Kilimann
- German Center of Neurodegenerative Diseases (DZNE), Rostock, Germany
- Department of Psychosomatic Medicine, University Medicine Rostock, Rostock, Germany
| | - Olive Peters
- German Center of Neurodegenerative Diseases (DZNE), Berlin, Germany
- Department of Psychiatry, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Xiao Wang
- Department of Psychiatry, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Eike Jakob Spruth
- German Center of Neurodegenerative Diseases (DZNE), Berlin, Germany
- Department of Psychiatry and Psychotherapy, Charité, Berlin, Germany
| | - Anja Schneider
- German Center of Neurodegenerative Diseases (DZNE), Bonn, Germany
- Department of Neurology, University of Bonn, Bonn, Germany
| | - Klaus Fliessbach
- German Center of Neurodegenerative Diseases (DZNE), Bonn, Germany
- Department of Neurology, University of Bonn, Bonn, Germany
| | - Jens Wiltfang
- German Center of Neurodegenerative Diseases (DZNE), Goettingen, Germany
- Department of Psychiatry and Psychotherapy, University of Goettingen, Goettingen, Germany
- Neurosciences and Signaling Group, Department of Medical Sciences, Institute of Biomedicine (iBiMED), University of Aveiro, Aveiro, Portugal
| | - Niels Hansen
- Department of Psychiatry and Psychotherapy, University of Goettingen, Goettingen, Germany
| | - Wenzel Glanz
- German Center of Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | - Katharina Buerger
- German Center of Neurodegenerative Diseases (DZNE), Munich, Germany
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - Daniel Janowitz
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - Christoph Laske
- German Center of Neurodegenerative Diseases (DZNE), Tübingen, Germany
- Section for Dementia Research, Hertie Institute for Clinical Brain Research, Tübingen, Germany
- Section for Dementia Research, Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
| | - Matthias H Munk
- German Center of Neurodegenerative Diseases (DZNE), Tübingen, Germany
- Section for Dementia Research, Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
| | - Annika Spottke
- German Center of Neurodegenerative Diseases (DZNE), Bonn, Germany
- Department of Neurology, University of Bonn, Bonn, Germany
| | - Nina Roy
- German Center of Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Matthias Nauck
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Greifswald, University Medicine, Greifswald, Germany
| | - Stefan Teipel
- German Center of Neurodegenerative Diseases (DZNE), Rostock, Germany
- Department of Psychosomatic Medicine, University Medicine Rostock, Rostock, Germany
| | - Rob Knight
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA
- Center for Microbiome Innovation, University of California San Diego, La Jolla, CA, USA
- Shu Chien-Gene Lay Department of Engineering, University of California San Diego, La Jolla, CA, USA
- Halıcıoğlu Data Science Institute, University of California San Diego, La Jolla, CA, USA
| | | | - Barbara B Bendlin
- Wisconsin Alzheimer's Disease Research Center, School of Medicine and Public Health, University of Wisconsin, Madison, USA
| | - Johannes Hertel
- School of Medicine, University of Galway, Galway, Ireland.
- DZHK (German Centre for Cardiovascular Research), Partner Site Greifswald, University Medicine, Greifswald, Germany.
| | - Ines Thiele
- School of Medicine, University of Galway, Galway, Ireland.
- The Ryan Institute, University of Galway, Galway, Ireland.
- School of Microbiology, University of Galway, Galway, Ireland.
- APC Microbiome Ireland, Cork, Ireland.
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5
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Jonaitis EM, Jeffers B, VandenLangenberg M, Ma Y, Van Hulle C, Langhough R, Du L, Chin NA, Przybelski RJ, Hogan KJ, Christian BT, Betthauser TJ, Okonkwo OC, Bendlin BB, Asthana S, Carlsson CM, Johnson SC. CSF Biomarkers in Longitudinal Alzheimer Disease Cohorts: Pre-Analytic Challenges. Clin Chem 2024; 70:538-550. [PMID: 38431278 PMCID: PMC10908554 DOI: 10.1093/clinchem/hvad221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Accepted: 11/27/2023] [Indexed: 03/05/2024]
Abstract
BACKGROUND The sensitivity of amyloid to pre-analytic factors complicates cerebrospinal fluid (CSF) diagnostics for Alzheimer disease. We report reliability and validity evidence for automated immunoassays from frozen and fresh CSF samples in an ongoing, single-site research program. METHODS CSF samples were obtained from 2 Wisconsin cohorts (1256 measurements; 727 participants). Levels of amyloid beta 1-42 (Aβ42), phosphorylated tau 181 (pTau181), and total tau (tTau) were obtained using an Elecsys cobas e 601 platform. Repeatability and fixed effects of storage tube type, extraction method, and freezing were assessed via mixed models. Concordance with amyloid positron emission tomography (PET) was investigated with 238 participants having a temporally proximal PET scan. RESULTS Repeatability was high with intraclass correlation (ICC) ≥0.9, but tube type strongly affected measurements. Discriminative accuracy for PET amyloid positivity was strong across tube types (area under the curve [AUC]: Aβ42, 0.87; pTau181Aβ42 , 0.96), although optimal thresholds differed. CONCLUSIONS Under real-world conditions, the Elecsys platform had high repeatability. However, strong effects of pre-analytic factors suggest caution in drawing longitudinal inferences.
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Affiliation(s)
- Erin M Jonaitis
- Wisconsin Alzheimer’s Institute, School of Medicine and Public Health, University of Wisconsin—Madison, Madison, WI, United States
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin—Madison, Madison, WI, United States
- Department of Medicine, Division of Geriatrics and Gerontology, School of Medicine and Public Health, University of Wisconsin—Madison, Madison, WI, United States
| | - Beckie Jeffers
- Wisconsin Alzheimer’s Institute, School of Medicine and Public Health, University of Wisconsin—Madison, Madison, WI, United States
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin—Madison, Madison, WI, United States
- Department of Medicine, Division of Geriatrics and Gerontology, School of Medicine and Public Health, University of Wisconsin—Madison, Madison, WI, United States
| | - Monica VandenLangenberg
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin—Madison, Madison, WI, United States
- Department of Medicine, Division of Geriatrics and Gerontology, School of Medicine and Public Health, University of Wisconsin—Madison, Madison, WI, United States
| | - Yue Ma
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin—Madison, Madison, WI, United States
| | - Carol Van Hulle
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin—Madison, Madison, WI, United States
| | - Rebecca Langhough
- Wisconsin Alzheimer’s Institute, School of Medicine and Public Health, University of Wisconsin—Madison, Madison, WI, United States
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin—Madison, Madison, WI, United States
- Department of Medicine, Division of Geriatrics and Gerontology, School of Medicine and Public Health, University of Wisconsin—Madison, Madison, WI, United States
| | - Lianlian Du
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin—Madison, Madison, WI, United States
- Department of Biostatistics and Medical Informatics, School of Medicine and Public Health, University of Wisconsin—Madison, Madison, WI, United States
| | - Nathaniel A Chin
- Department of Medicine, Division of Geriatrics and Gerontology, School of Medicine and Public Health, University of Wisconsin—Madison, Madison, WI, United States
| | - Robert J Przybelski
- Department of Medicine, Division of Geriatrics and Gerontology, School of Medicine and Public Health, University of Wisconsin—Madison, Madison, WI, United States
| | - Kirk J Hogan
- Department of Anesthesiology, School of Medicine and Public Health, University of Wisconsin—Madison, Madison, WI, United States
| | - Bradley T Christian
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin—Madison, Madison, WI, United States
- Department of Medical Physics, School of Medicine and Public Health, University of Wisconsin—Madison, Madison, WI, United States
- Department of Psychiatry, School of Medicine and Public Health, University of Wisconsin—Madison, Madison, WI, United States
| | - Tobey J Betthauser
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin—Madison, Madison, WI, United States
- Department of Medicine, Division of Geriatrics and Gerontology, School of Medicine and Public Health, University of Wisconsin—Madison, Madison, WI, United States
| | - Ozioma C Okonkwo
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin—Madison, Madison, WI, United States
- Department of Medicine, Division of Geriatrics and Gerontology, School of Medicine and Public Health, University of Wisconsin—Madison, Madison, WI, United States
| | - Barbara B Bendlin
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin—Madison, Madison, WI, United States
- Department of Medicine, Division of Geriatrics and Gerontology, School of Medicine and Public Health, University of Wisconsin—Madison, Madison, WI, United States
| | - Sanjay Asthana
- Geriatric Research Education and Clinical Center of the Wm. S. Middleton Memorial Veterans Hospital, Madison, WI, United States
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin—Madison, Madison, WI, United States
| | - Cynthia M Carlsson
- Geriatric Research Education and Clinical Center of the Wm. S. Middleton Memorial Veterans Hospital, Madison, WI, United States
- Wisconsin Alzheimer’s Institute, School of Medicine and Public Health, University of Wisconsin—Madison, Madison, WI, United States
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin—Madison, Madison, WI, United States
| | - Sterling C Johnson
- Geriatric Research Education and Clinical Center of the Wm. S. Middleton Memorial Veterans Hospital, Madison, WI, United States
- Wisconsin Alzheimer’s Institute, School of Medicine and Public Health, University of Wisconsin—Madison, Madison, WI, United States
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin—Madison, Madison, WI, United States
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6
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Nair AK, Bendlin BB, Dean DC, Rosenkranz MA. Response to: Failure of the glymphatic system by increases of jugular resistance as possible link between asthma and dementia. Brain Commun 2024; 6:fcae038. [PMID: 38410620 PMCID: PMC10896471 DOI: 10.1093/braincomms/fcae038] [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] [Received: 12/09/2023] [Revised: 12/09/2023] [Accepted: 02/12/2024] [Indexed: 02/28/2024] Open
Affiliation(s)
- Ajay Kumar Nair
- Center for Healthy Minds, University of Wisconsin-Madison,
Madison, WI, 53703USA
- Institute on Aging, University of Wisconsin-Madison,
Madison, WI, 53706USA
| | - Barbara B Bendlin
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and
Public Health, University of Wisconsin-Madison, Madison, WI,
53792USA
- Department of Medicine, School of Medicine and Public Health, University of
Wisconsin-Madison, Madison, WI, 53792USA
- Wisconsin Alzheimer’s Institute, School of Medicine and Public Health,
University of Wisconsin-Madison, Madison, WI,
53792USA
| | - Douglas C Dean
- Department of Pediatrics, University of Wisconsin School of Medicine and
Public Health, Madison, WI, 53792USA
- Department of Medical Physics, University of Wisconsin School of Medicine
and Public Health, Madison, WI, 53705USA
- Waisman Center, University of Wisconsin-Madison,
Madison, WI, 53705USA
| | - Melissa A Rosenkranz
- Center for Healthy Minds, University of Wisconsin-Madison,
Madison, WI, 53703USA
- Department of Psychiatry, University of Wisconsin-Madison,
Madison, WI, 53719USA
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Powell WR, Vilen L, Zuelsdorff M, Goutman SA, Salamat S, Rissman RA, Bendlin BB, Kind AJH. Association between military service and Alzheimer's disease neuropathology at autopsy. Alzheimers Dement 2024; 20:1468-1474. [PMID: 37965965 PMCID: PMC10917028 DOI: 10.1002/alz.13520] [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: 07/03/2023] [Revised: 09/14/2023] [Accepted: 10/01/2023] [Indexed: 11/16/2023]
Abstract
INTRODUCTION Anti-amyloid therapies are at the forefront of efforts to treat Alzheimer's disease (AD). Identifying amyloid risk factors may aid screening and intervention strategies. While veterans face increased exposure to risk factors, whether they face a greater neuropathologic amyloid burden is not well understood. METHODS Male decedents donating to two Alzheimer's Disease Research Center (ADRC) brain banks from 1986 to 2018 with categorized neuritic plaque density and neurofibrillary tangles (n = 597) were included. Using generalized ordered logistic regression we modeled each outcome's association with military history adjusting for age and death year. RESULTS Having served in the military (60% of sample) is associated with post mortem neuritic amyloid plaque (for each comparison of higher to lower C scores OR = 1.26; 95% confidence interval [CI] = 1.06-1.49) and tau pathology (B score OR = 1.10; 95% CI = 1.08-1.12). DISCUSSION This is the first study, to our knowledge, finding increased levels of verified AD neuropathology in those with military service. Targeted veteran AD therapies is a pressing need.
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Affiliation(s)
- W. Ryan Powell
- Center for Health Disparities ResearchUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
- Department of MedicineGeriatrics DivisionUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
| | - Leigha Vilen
- Center for Health Disparities ResearchUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
| | - Megan Zuelsdorff
- Wisconsin Alzheimer's Disease Research CenterUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
- University of Wisconsin School of NursingMadisonWisconsinUSA
| | | | - Shahriar Salamat
- Department of Neurological SurgeryUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
- Department of Pathology and Laboratory MedicineUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
| | - Robert A. Rissman
- Department of Physiology and NeuroscienceAlzheimer's Therapeutic Research InstituteKeck School of Medicine of the University of Southern CaliforniaSan DiegoCaliforniaUSA
- VA San Diego Healthcare SystemLa JollaCaliforniaUSA
| | - Barbara B. Bendlin
- Center for Health Disparities ResearchUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
- Department of MedicineGeriatrics DivisionUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
- Wisconsin Alzheimer's Disease Research CenterUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
- Wisconsin Alzheimer's InstituteUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
| | - Amy J. H. Kind
- Center for Health Disparities ResearchUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
- Department of MedicineGeriatrics DivisionUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
- Wisconsin Alzheimer's Disease Research CenterUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
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Cook JD, Malik A, Plante DT, Norton D, Langhough Koscik R, Du L, Bendlin BB, Kirmess KM, Holubasch MS, Meyer MR, Venkatesh V, West T, Verghese PB, Yarasheski KE, Thomas KV, Carlsson CM, Asthana S, Johnson SC, Gleason CE, Zuelsdorff M. Associations of sleep duration and daytime sleepiness with plasma amyloid beta and cognitive performance in cognitively unimpaired, middle-aged and older African Americans. Sleep 2024; 47:zsad302. [PMID: 38011629 PMCID: PMC10782500 DOI: 10.1093/sleep/zsad302] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2023] [Revised: 09/01/2023] [Indexed: 11/29/2023] Open
Abstract
STUDY OBJECTIVES Given the established racial disparities in both sleep health and dementia risk for African American populations, we assess cross-sectional and longitudinal associations of self-report sleep duration (SRSD) and daytime sleepiness with plasma amyloid beta (Aβ) and cognition in an African American (AA) cohort. METHODS In a cognitively unimpaired sample drawn from the African Americans Fighting Alzheimer's in Midlife (AA-FAiM) study, data on SRSD, Epworth Sleepiness Scale, demographics, and cognitive performance were analyzed. Aβ40, Aβ42, and the Aβ42/40 ratio were quantified from plasma samples. Cross-sectional analyses explored associations between baseline predictors and outcome measures. Linear mixed-effect regression models estimated associations of SRSD and daytime sleepiness with plasma Aβ and cognitive performance levels and change over time. RESULTS One hundred and forty-seven participants comprised the cross-sectional sample. Baseline age was 63.2 ± 8.51 years. 69.6% self-identified as female. SRSD was 6.4 ± 1.1 hours and 22.4% reported excessive daytime sleepiness. The longitudinal dataset included 57 participants. In fully adjusted models, neither SRSD nor daytime sleepiness is associated with cross-sectional or longitudinal Aβ. Associations with level and trajectory of cognitive test performance varied by measure of sleep health. CONCLUSIONS SRSD was below National Sleep Foundation recommendations and daytime sleepiness was prevalent in this cohort. In the absence of observed associations with plasma Aβ, poorer self-reported sleep health broadly predicted poorer cognitive function but not accelerated decline. Future research is necessary to understand and address modifiable sleep mechanisms as they relate to cognitive aging in AA at disproportionate risk for dementia. CLINICAL TRIAL INFORMATION Not applicable.
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Affiliation(s)
- Jesse D Cook
- Department of Psychology, University of Wisconsin-Madison, Madison, WI, USA
- Department of Psychiatry, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
- Madison VA GRECC, William S. Middleton Memorial Hospital, Madison, WI, USA
| | - Ammara Malik
- Madison VA GRECC, William S. Middleton Memorial Hospital, Madison, WI, USA
| | - David T Plante
- Department of Psychology, University of Wisconsin-Madison, Madison, WI, USA
- Department of Psychiatry, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
| | - Derek Norton
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
| | - Rebecca Langhough Koscik
- Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
- Wisconsin Alzheimer’s Institute, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
| | - Lianlian Du
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
| | - Barbara B Bendlin
- Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
- Wisconsin Alzheimer’s Institute, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
| | | | | | | | | | - Tim West
- C2N Diagnostics, St. Louis, MO, USA
| | | | | | - Kevin V Thomas
- Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
| | - Cynthia M Carlsson
- Madison VA GRECC, William S. Middleton Memorial Hospital, Madison, WI, USA
- Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
- Wisconsin Alzheimer’s Institute, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
| | - Sanjay Asthana
- Madison VA GRECC, William S. Middleton Memorial Hospital, Madison, WI, USA
- Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
- Wisconsin Alzheimer’s Institute, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
| | - Sterling C Johnson
- Madison VA GRECC, William S. Middleton Memorial Hospital, Madison, WI, USA
- Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
- Wisconsin Alzheimer’s Institute, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
| | - Carey E Gleason
- Madison VA GRECC, William S. Middleton Memorial Hospital, Madison, WI, USA
- Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
| | - Megan Zuelsdorff
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
- School of Nursing, University of Wisconsin-Madison, Madison, WI, USA
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9
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Van Hulle C, Ince S, Okonkwo OC, Bendlin BB, Johnson SC, Carlsson CM, Asthana S, Love S, Blennow K, Zetterberg H, Scott Miners J. Elevated CSF angiopoietin-2 correlates with blood-brain barrier leakiness and markers of neuronal injury in early Alzheimer's disease. Transl Psychiatry 2024; 14:3. [PMID: 38182581 PMCID: PMC10770135 DOI: 10.1038/s41398-023-02706-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 11/12/2023] [Accepted: 12/05/2023] [Indexed: 01/07/2024] Open
Abstract
Breakdown of the neurovascular unit is associated with blood-brain barrier (BBB) leakiness contributing to cognitive decline and disease pathology in the early stages of Alzheimer's disease (AD). Vascular stability depends on angiopoietin-1 (ANGPT-1) signalling, antagonised by angiopoietin-2 (ANGPT-2) expressed upon endothelial injury. We examined the relationship between CSF ANGPT-2 and CSF markers of BBB leakiness and core AD biomarkers across three independent cohorts: (i) 31 AD patients and 33 healthy controls grouped according to their biomarker profile (i.e., AD cases t-tau > 400 pg/mL, p-tau > 60 pg/mL and Aβ42 < 550 pg/mL); (ii) 121 participants in the Wisconsin Registry for Alzheimer's Prevention or Wisconsin Alzheimer's Disease Research study (84 participants cognitively unimpaired (CU) enriched for a parental history of AD, 20 participants with mild cognitive impairment (MCI), and 17 with AD); (iii) a neurologically normal cohort aged 23-78 years with paired CSF and serum samples. CSF ANGPT-2, sPDGFRβ, albumin and fibrinogen levels were measured by sandwich ELISA. In cohort (i), CSF ANGPT-2 was elevated in AD and correlated with CSF t-tau and p-tau181 but not Aβ42. ANGPT-2 also correlated positively with CSF sPDGFRβ and fibrinogen - markers of pericyte injury and BBB leakiness. In cohort (ii), CSF ANGPT-2 was highest in MCI and correlated with CSF albumin in the CU and MCI cohorts but not in AD. CSF ANGPT-2 also correlated with CSF t-tau and p-tau and with markers of neuronal injury (neurogranin and α-synuclein) and neuroinflammation (GFAP and YKL-40). In cohort (iii), CSF ANGPT-2 correlated strongly with the CSF/serum albumin ratio. Serum ANGPT-2 showed non-significant positive associations with CSF ANGPT-2 and the CSF/serum albumin ratio. Together, these data indicate that CSF and possibly serum ANGPT-2 is associated with BBB leakiness in early AD and is closely related to tau pathology and neuronal injury. The utility of serum ANGPT-2 as a biomarker of BBB damage in AD requires further study.
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Affiliation(s)
- Carol Van Hulle
- Wisconsin Alzheimer's Disease Research Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
- Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, University of Wisconsin-Madison, Madison, WI, USA
| | - Selvi Ince
- Dementia Research Group, Clinical Neurosciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Ozioma C Okonkwo
- Wisconsin Alzheimer's Disease Research Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Alzheimer's Institute, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
- Geriatric Research Education and Clinical Center, William S. Middleton Memorial Veterans Hospital, Madison, WI, USA
| | - Barbara B Bendlin
- Wisconsin Alzheimer's Disease Research Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
- Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Alzheimer's Institute, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
- Geriatric Research Education and Clinical Center, William S. Middleton Memorial Veterans Hospital, Madison, WI, USA
| | - Sterling C Johnson
- Wisconsin Alzheimer's Disease Research Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
- Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Alzheimer's Institute, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
- Geriatric Research Education and Clinical Center, William S. Middleton Memorial Veterans Hospital, Madison, WI, USA
| | - Cynthia M Carlsson
- Wisconsin Alzheimer's Disease Research Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
- Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Alzheimer's Institute, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
- Geriatric Research Education and Clinical Center, William S. Middleton Memorial Veterans Hospital, Madison, WI, USA
| | - Sanjay Asthana
- Wisconsin Alzheimer's Disease Research Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Alzheimer's Institute, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Seth Love
- Dementia Research Group, Clinical Neurosciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Henrik Zetterberg
- Wisconsin Alzheimer's Disease Research Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK
- UK Dementia Research Institute at UCL, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong, China
| | - J Scott Miners
- Dementia Research Group, Clinical Neurosciences, Bristol Medical School, University of Bristol, Bristol, UK.
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10
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Hale MR, Langhough R, Du L, Hermann BP, Van Hulle CA, Carboni M, Kollmorgen G, Basche KE, Bruno D, Sanson-Miles L, Jonaitis EM, Chin NA, Okonkwo OC, Bendlin BB, Carlsson CM, Zetterberg H, Blennow K, Betthauser TJ, Johnson SC, Mueller KD. Associations between recall of proper names in story recall and CSF amyloid and tau in adults without cognitive impairment. Neurobiol Aging 2024; 133:87-98. [PMID: 37925995 PMCID: PMC10842469 DOI: 10.1016/j.neurobiolaging.2023.09.018] [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: 01/18/2023] [Revised: 09/26/2023] [Accepted: 09/28/2023] [Indexed: 11/07/2023]
Abstract
Neuropsychological measures sensitive to decline in the preclinical phase of Alzheimer's disease are needed. We previously demonstrated that higher amyloid-beta (Aβ) assessed by positron emission tomography in adults without cognitive impairment was associated with recall of fewer proper names in Logical Memory story recall. The current study investigated the association between proper names and cerebrospinal fluid biomarkers (Aβ42/40, phosphorylated tau181 [pTau181], neurofilament light) in 223 participants from the Wisconsin Registry for Alzheimer's Prevention. We assessed associations between biomarkers and delayed Logical Memory total score and proper names using binary logistic regressions. Sensitivity analyses used multinomial logistic regression and stratified biomarker groups. Lower Logical Memory total score and proper names scores from the most recent visit were associated with biomarker positivity. Relatedly, there was a 27% decreased risk of being classified Aβ42/40+/pTau181+ for each additional proper name recalled. A linear mixed effects model found that longitudinal change in proper names recall was predicted by biomarker status. These results demonstrate a novel relationship between proper names and Alzheimer's disease-cerebrospinal fluid pathology.
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Affiliation(s)
- Madeline R Hale
- Department of Communication Sciences and Disorders, University of Wisconsin-Madison, Madison, WI, USA
| | - Rebecca Langhough
- Alzheimer's Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA; School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA; Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA; Wisconsin Alzheimer's Institute, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
| | - Lianlian Du
- School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA; Wisconsin Alzheimer's Institute, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA; Department of Biostatistics and Medical Informatics, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Bruce P Hermann
- Department of Neurology, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Carol A Van Hulle
- Alzheimer's Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA; Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA; Wisconsin Alzheimer's Institute, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA; Division of Geriatrics and Gerontology, Department of Medicine, University of Wisconsin School of Medicine & Public Health, Madison, WI, USA
| | | | | | - Kristin E Basche
- Alzheimer's Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA; Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
| | - Davide Bruno
- School of Psychology, Liverpool John Moores University, Liverpool, UK
| | - Leah Sanson-Miles
- Department of Communication Sciences and Disorders, University of Wisconsin-Madison, Madison, WI, USA
| | - Erin M Jonaitis
- Alzheimer's Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA; School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA; Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA; Wisconsin Alzheimer's Institute, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
| | - Nathaniel A Chin
- Alzheimer's Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA; School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA; Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA; Wisconsin Alzheimer's Institute, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA; Division of Geriatrics and Gerontology, Department of Medicine, University of Wisconsin School of Medicine & Public Health, Madison, WI, USA; VA Geriatric Research, Education and Clinical Center (GRECC), William S. Middleton Memorial Veterans Hospital, Madison, WI, USA
| | - Ozioma C Okonkwo
- School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Barbara B Bendlin
- Alzheimer's Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA; School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA; Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA; Wisconsin Alzheimer's Institute, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA; Division of Geriatrics and Gerontology, Department of Medicine, University of Wisconsin School of Medicine & Public Health, Madison, WI, USA; VA Geriatric Research, Education and Clinical Center (GRECC), William S. Middleton Memorial Veterans Hospital, Madison, WI, USA
| | - Cynthia M Carlsson
- Alzheimer's Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA; School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA; Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA; Wisconsin Alzheimer's Institute, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA; Division of Geriatrics and Gerontology, Department of Medicine, University of Wisconsin School of Medicine & Public Health, Madison, WI, USA
| | - Henrik Zetterberg
- Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA; Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK; UK Dementia Research Institute at UCL, London, UK; Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Tobey J Betthauser
- Alzheimer's Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA; School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA; Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA; Division of Geriatrics and Gerontology, Department of Medicine, University of Wisconsin School of Medicine & Public Health, Madison, WI, USA
| | - Sterling C Johnson
- Alzheimer's Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA; School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA; Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA; Wisconsin Alzheimer's Institute, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA; Division of Geriatrics and Gerontology, Department of Medicine, University of Wisconsin School of Medicine & Public Health, Madison, WI, USA; VA Geriatric Research, Education and Clinical Center (GRECC), William S. Middleton Memorial Veterans Hospital, Madison, WI, USA
| | - Kimberly D Mueller
- Department of Communication Sciences and Disorders, University of Wisconsin-Madison, Madison, WI, USA; Alzheimer's Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA; School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA; Wisconsin Alzheimer's Institute, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA.
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Ramsingh N, Lin HM, Ouyang Y, Ravona-Springer R, Livny A, Soleimani L, Bendlin BB, Meir MB, Heymann A, Sano M, Azuri J, Beeri MS. Poor self-rated health is associated with faster cognitive decline and greater small vessel disease in older adults with type 2 diabetes. Diabetes Metab Res Rev 2024; 40:e3761. [PMID: 38287720 DOI: 10.1002/dmrr.3761] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 11/11/2023] [Accepted: 12/14/2023] [Indexed: 01/31/2024]
Abstract
OBJECTIVE Self-rated health (SRH) is a predictor for poor health outcomes and cognition. Older adults with type 2 diabetes mellitus (T2D) have multi-morbidity and greater cognitive impairment. In the present study we investigated the association of SRH with cognitive decline and brain pathology in older adults with T2D. METHODS Participants (n = 1122) were from the Israel Diabetes and Cognitive Decline study, and SRH was categorised as low (n = 202), moderate (n = 400) or high (n = 520). Cognition was measured by four cognitive domains: episodic memory, executive functions, language, and attention/working memory. Global cognition was the average of the cognitive domains. Statistical models adjusted for sociodemographic, cardiovascular, and clinical variables. In a randomly selected subsample (n = 230) that had magnetic resonance imaging, we examined relationships between baseline SRH and brain characteristics (white matter hyperintensities [WMHs], hippocampal, and total grey matter [GM] volumes). RESULTS Low SRH was associated with a decline in executive functions, which accelerated over time when compared to high SRH (est = -0.0036; p = <0.001). Compared to high SRH, low SRH was associated with a faster decline in global cognition (est = -0.0024; p = 0.009). Low SRH at baseline was associated with higher volumes of WMHs (est = 9.8420; p < 0.0008). SRH was not associated with other cognitive domains, or with hippocampal and total GM. CONCLUSIONS Low SRH is associated with cognitive decline in T2D older adults and may serve as a risk assessment. WMHs may represent an underlying mechanism.
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Affiliation(s)
- Nadia Ramsingh
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Hung-Mo Lin
- Department of Anesthesiology and Yale Center for Analytical Sciences, Yale University, New Haven, Connecticut, USA
| | - Yuxia Ouyang
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Ramit Ravona-Springer
- The Joseph Sagol Neuroscience Center, Sheba Medical Center, Tel HaShomer, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- Department of Psychiatry, Sheba Medical Center, Tel HaShomer, Israel
| | - Abigail Livny
- The Joseph Sagol Neuroscience Center, Sheba Medical Center, Tel HaShomer, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- Department of Diagnostic Imaging, Sheba Medical Center, Tel HaShomer, Israel
| | - Laili Soleimani
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Barbara B Bendlin
- Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Mery Ben Meir
- The Joseph Sagol Neuroscience Center, Sheba Medical Center, Tel HaShomer, Israel
| | - Anthony Heymann
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- Maccabi Health Services, Tel Aviv, Israel
| | - Mary Sano
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- James J. Peters VA Medical Center, Bronx, New York, USA
| | | | - Michal Schnaider Beeri
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- The Joseph Sagol Neuroscience Center, Sheba Medical Center, Tel HaShomer, Israel
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12
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Przybelski AG, Bendlin BB, Jones JE, Vogt NM, Przybelski RJ. Vitamin B6 and vitamin D deficiency co-occurrence in geriatric memory patients. Alzheimers Dement (Amst) 2024; 16:e12525. [PMID: 38259592 PMCID: PMC10801816 DOI: 10.1002/dad2.12525] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 12/10/2023] [Accepted: 12/19/2023] [Indexed: 01/24/2024]
Abstract
INTRODUCTION Vitamin B6 and D levels are not assessed routinely in geriatric memory patients. This study examined vitamin levels to determine the potential effects on cognition. METHODS A chart review was conducted of 203 consecutive patients over a 12-month period. Levels of vitamins B1, B6, B12, and D were obtained on the day of clinic to identify deficiencies. A mental status exam (Mini Mental State Examination [MMSE]) was also performed. RESULTS One hundred sixty-seven patients had one or more vitamin levels obtained on the day of clinical evaluation. Vitamin B6 deficiency was the most common (37.5%), followed by vitamin D deficiency (36.8%). A chi-square test revealed significant co-occurrence of deficiency of vitamins B6 and D (p < 0.001). Vitamin B6 and D deficiencies were associated with lower MMSE scores (p < 0.05). DISCUSSION Vitamin B6 and D deficiencies are common in geriatric patients. The coexistence of these vitamin deficiencies has a significant association with cognitive performance, indicating the clinical importance of monitoring and supplementation.
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Affiliation(s)
- Anna G. Przybelski
- Wisconsin Alzheimer's Disease Research CenterUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
- University of Wisconsin School of PharmacyPsychoactive Pharmaceutical InvestigationMadisonWisconsinUSA
| | - Barbara B. Bendlin
- Wisconsin Alzheimer's Disease Research CenterUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
- Department of MedicineUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
| | - Jana E. Jones
- Department of MedicineUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
- Department of NeurologyUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
| | - Nicholas M. Vogt
- Wisconsin Alzheimer's Disease Research CenterUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
- Harvard Medical SchoolMassachusetts General HospitalBostonMassachusettsUSA
| | - Robert J. Przybelski
- Department of MedicineUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
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13
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Goodman MJ, Li XR, Livschitz J, Huang CC, Bendlin BB, Granadillo ED. Comparing Symmetric Dimethylarginine and Amyloid-β42 as Predictors of Alzheimer's Disease Development. J Alzheimers Dis Rep 2023; 7:1427-1444. [PMID: 38225970 PMCID: PMC10789286 DOI: 10.3233/adr-230054] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 11/15/2023] [Indexed: 01/17/2024] Open
Abstract
Background Physicians may soon be able to diagnose Alzheimer's disease (AD) in its early stages using fluid biomarkers like amyloid. However, it is acknowledged that additional biomarkers need to be characterized which would facilitate earlier monitoring of AD pathogenesis. Objective To determine if a potential novel inflammation biomarker for AD, symmetric dimethylarginine, has utility as a baseline serum biomarker for discriminating prodromal AD from cognitively unimpaired controls in comparison to cerebrospinal fluid amyloid-β42 (Aβ42). Methods Data including demographics, magnetic resonance imaging and fluorodeoxyglucose-positron emission tomography scans, Mini-Mental State Examination and Functional Activities Questionnaire scores, and biomarker concentrations were obtained from the Alzheimer's Disease Neuroimaging Initiative for a total of 146 prodromal AD participants and 108 cognitively unimpaired controls. Results Aβ42 (p = 0.65) and symmetric dimethylarginine (p = 0.45) were unable to predict age-matched cognitively unimpaired controls and prodromal AD participants. Aβ42 was negatively associated with regional brain atrophy and hypometabolism as well as cognitive and functional decline in cognitively unimpaired control participants (p < 0.05) that generally decreased in time. There were no significant associations between Aβ42 and symmetric dimethylarginine with imaging or neurocognitive biomarkers in prodromal AD patients. Conclusions Correlations were smaller between Aβ42 and neuropathological biomarkers over time and were absent in prodromal AD participants, suggesting a plateau effect dependent on age and disease stage. Evidence supporting symmetric dimethylarginine as a novel biomarker for AD as a single measurement was not found.
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Affiliation(s)
| | - Xin Ran Li
- Medical College of Wisconsin, Wauwatosa, WI, USA
| | | | | | | | - Elias D. Granadillo
- Medical College of Wisconsin, Wauwatosa, WI, USA
- University of Wisconsin, Madison, WI, USA
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14
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Panyard DJ, McKetney J, Deming YK, Morrow AR, Ennis GE, Jonaitis EM, Van Hulle CA, Yang C, Sung YJ, Ali M, Kollmorgen G, Suridjan I, Bayfield A, Bendlin BB, Zetterberg H, Blennow K, Cruchaga C, Carlsson CM, Johnson SC, Asthana S, Coon JJ, Engelman CD. Large-scale proteome and metabolome analysis of CSF implicates altered glucose and carbon metabolism and succinylcarnitine in Alzheimer's disease. Alzheimers Dement 2023; 19:5447-5470. [PMID: 37218097 PMCID: PMC10663389 DOI: 10.1002/alz.13130] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [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: 11/10/2022] [Revised: 02/23/2023] [Accepted: 04/04/2023] [Indexed: 05/24/2023]
Abstract
INTRODUCTION A hallmark of Alzheimer's disease (AD) is the aggregation of proteins (amyloid beta [A] and hyperphosphorylated tau [T]) in the brain, making cerebrospinal fluid (CSF) proteins of particular interest. METHODS We conducted a CSF proteome-wide analysis among participants of varying AT pathology (n = 137 participants; 915 proteins) with nine CSF biomarkers of neurodegeneration and neuroinflammation. RESULTS We identified 61 proteins significantly associated with the AT category (P < 5.46 × 10-5 ) and 636 significant protein-biomarker associations (P < 6.07 × 10-6 ). Proteins from glucose and carbon metabolism pathways were enriched among amyloid- and tau-associated proteins, including malate dehydrogenase and aldolase A, whose associations with tau were replicated in an independent cohort (n = 717). CSF metabolomics identified and replicated an association of succinylcarnitine with phosphorylated tau and other biomarkers. DISCUSSION These results implicate glucose and carbon metabolic dysregulation and increased CSF succinylcarnitine levels with amyloid and tau pathology in AD. HIGHLIGHTS Cerebrospinal fluid (CSF) proteome enriched for extracellular, neuronal, immune, and protein processing. Glucose/carbon metabolic pathways enriched among amyloid/tau-associated proteins. Key glucose/carbon metabolism protein associations independently replicated. CSF proteome outperformed other omics data in predicting amyloid/tau positivity. CSF metabolomics identified and replicated a succinylcarnitine-phosphorylated tau association.
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Affiliation(s)
- Daniel J. Panyard
- Department of Population Health Sciences, University of Wisconsin-Madison; 610 Walnut Street, 707 WARF Building, Madison, WI 53726, United States of America
| | - Justin McKetney
- National Center for Quantitative Biology of Complex Systems, University of Wisconsin-Madison; Madison, WI 53706, United States of America
- Department of Biomolecular Chemistry, University of Wisconsin-Madison; Madison, WI 53506, United States of America
| | - Yuetiva K. Deming
- Department of Population Health Sciences, University of Wisconsin-Madison; 610 Walnut Street, 707 WARF Building, Madison, WI 53726, United States of America
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison; 600 Highland Avenue, J5/1 Mezzanine, Madison, WI 53792, United States of America
- Department of Medicine, University of Wisconsin-Madison; 1685 Highland Avenue, 5158 Medical Foundation Centennial Building, Madison, WI 53705, United States of America
| | - Autumn R. Morrow
- Department of Population Health Sciences, University of Wisconsin-Madison; 610 Walnut Street, 707 WARF Building, Madison, WI 53726, United States of America
| | - Gilda E. Ennis
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison; 600 Highland Avenue, J5/1 Mezzanine, Madison, WI 53792, United States of America
| | - Erin M. Jonaitis
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison; 600 Highland Avenue, J5/1 Mezzanine, Madison, WI 53792, United States of America
- Wisconsin Alzheimer’s Institute, University of Wisconsin-Madison; 610 Walnut Street, 9 Floor, Madison, WI 53726, United States of America
| | - Carol A. Van Hulle
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison; 600 Highland Avenue, J5/1 Mezzanine, Madison, WI 53792, United States of America
- Department of Medicine, University of Wisconsin-Madison; 1685 Highland Avenue, 5158 Medical Foundation Centennial Building, Madison, WI 53705, United States of America
| | - Chengran Yang
- Department of Psychiatry, Washington University School of Medicine; St Louis, MO 63110, United States of America
- NeuroGenomics and Informatics Center, Washington University School of Medicine; St Louis, MO 63110, United States of America
- Hope Center for Neurological Disorders, Washington University School of Medicine; St Louis, MO 63110, United States of America
| | - Yun Ju Sung
- Department of Psychiatry, Washington University School of Medicine; St Louis, MO 63110, United States of America
- NeuroGenomics and Informatics Center, Washington University School of Medicine; St Louis, MO 63110, United States of America
- Hope Center for Neurological Disorders, Washington University School of Medicine; St Louis, MO 63110, United States of America
| | - Muhammad Ali
- Department of Psychiatry, Washington University School of Medicine; St Louis, MO 63110, United States of America
- NeuroGenomics and Informatics Center, Washington University School of Medicine; St Louis, MO 63110, United States of America
- Hope Center for Neurological Disorders, Washington University School of Medicine; St Louis, MO 63110, United States of America
| | | | | | | | - Barbara B. Bendlin
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison; 600 Highland Avenue, J5/1 Mezzanine, Madison, WI 53792, United States of America
- Department of Medicine, University of Wisconsin-Madison; 1685 Highland Avenue, 5158 Medical Foundation Centennial Building, Madison, WI 53705, United States of America
- Wisconsin Alzheimer’s Institute, University of Wisconsin-Madison; 610 Walnut Street, 9 Floor, Madison, WI 53726, United States of America
- William S. Middleton Memorial Veterans Hospital; 2500 Overlook Terrace, Madison, WI 53705, United States of America
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg; Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital; Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology; London, UK
- UK Dementia Research Institute at UCL; London, UK
- Hong Kong Center for Neurodegenerative Diseases; Hong Kong, China
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg; Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital; Mölndal, Sweden
| | - Carlos Cruchaga
- Department of Psychiatry, Washington University School of Medicine; St Louis, MO 63110, United States of America
- NeuroGenomics and Informatics Center, Washington University School of Medicine; St Louis, MO 63110, United States of America
- Hope Center for Neurological Disorders, Washington University School of Medicine; St Louis, MO 63110, United States of America
| | - Cynthia M. Carlsson
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison; 600 Highland Avenue, J5/1 Mezzanine, Madison, WI 53792, United States of America
- Department of Medicine, University of Wisconsin-Madison; 1685 Highland Avenue, 5158 Medical Foundation Centennial Building, Madison, WI 53705, United States of America
- Wisconsin Alzheimer’s Institute, University of Wisconsin-Madison; 610 Walnut Street, 9 Floor, Madison, WI 53726, United States of America
- William S. Middleton Memorial Veterans Hospital; 2500 Overlook Terrace, Madison, WI 53705, United States of America
| | - Sterling C. Johnson
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison; 600 Highland Avenue, J5/1 Mezzanine, Madison, WI 53792, United States of America
- Department of Medicine, University of Wisconsin-Madison; 1685 Highland Avenue, 5158 Medical Foundation Centennial Building, Madison, WI 53705, United States of America
- Wisconsin Alzheimer’s Institute, University of Wisconsin-Madison; 610 Walnut Street, 9 Floor, Madison, WI 53726, United States of America
- William S. Middleton Memorial Veterans Hospital; 2500 Overlook Terrace, Madison, WI 53705, United States of America
| | - Sanjay Asthana
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison; 600 Highland Avenue, J5/1 Mezzanine, Madison, WI 53792, United States of America
- Department of Medicine, University of Wisconsin-Madison; 1685 Highland Avenue, 5158 Medical Foundation Centennial Building, Madison, WI 53705, United States of America
- William S. Middleton Memorial Veterans Hospital; 2500 Overlook Terrace, Madison, WI 53705, United States of America
| | - Joshua J. Coon
- National Center for Quantitative Biology of Complex Systems, University of Wisconsin-Madison; Madison, WI 53706, United States of America
- Department of Biomolecular Chemistry, University of Wisconsin-Madison; Madison, WI 53506, United States of America
- Morgridge Institute for Research; Madison, WI 53706, United States of America
- Department of Chemistry, University of Wisconsin-Madison; Madison, WI 53506, United States of America
| | - Corinne D. Engelman
- Department of Population Health Sciences, University of Wisconsin-Madison; 610 Walnut Street, 707 WARF Building, Madison, WI 53726, United States of America
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15
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Heston MB, Hanslik KL, Zarbock KR, Harding SJ, Davenport-Sis NJ, Kerby RL, Chin N, Sun Y, Hoeft A, Deming Y, Vogt NM, Betthauser TJ, Johnson SC, Asthana S, Kollmorgen G, Suridjan I, Wild N, Zetterberg H, Blennow K, Rey FE, Bendlin BB, Ulland TK. Gut inflammation associated with age and Alzheimer's disease pathology: a human cohort study. Sci Rep 2023; 13:18924. [PMID: 37963908 PMCID: PMC10646035 DOI: 10.1038/s41598-023-45929-z] [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: 04/25/2023] [Accepted: 10/25/2023] [Indexed: 11/16/2023] Open
Abstract
Age-related disease may be mediated by low levels of chronic inflammation ("inflammaging"). Recent work suggests that gut microbes can contribute to inflammation via degradation of the intestinal barrier. While aging and age-related diseases including Alzheimer's disease (AD) are linked to altered microbiome composition and higher levels of gut microbial components in systemic circulation, the role of intestinal inflammation remains unclear. To investigate whether greater gut inflammation is associated with advanced age and AD pathology, we assessed fecal samples from older adults to measure calprotectin, an established marker of intestinal inflammation which is elevated in diseases of gut barrier integrity. Multiple regression with maximum likelihood estimation and Satorra-Bentler corrections were used to test relationships between fecal calprotectin and clinical diagnosis, participant age, cerebrospinal fluid biomarkers of AD pathology, amyloid burden measured using 11C-Pittsburgh compound B positron emission tomography (PiB PET) imaging, and performance on cognitive tests measuring executive function and verbal learning and recall. Calprotectin levels were elevated in advanced age and were higher in participants diagnosed with amyloid-confirmed AD dementia. Additionally, among individuals with AD dementia, higher calprotectin was associated with greater amyloid burden as measured with PiB PET. Exploratory analyses indicated that calprotectin levels were also associated with cerebrospinal fluid markers of AD, and with lower verbal memory function even among cognitively unimpaired participants. Taken together, these findings suggest that intestinal inflammation is linked with brain pathology even in the earliest disease stages. Moreover, intestinal inflammation may exacerbate the progression toward AD.
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Affiliation(s)
- Margo B Heston
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Kendra L Hanslik
- Department of Pathology and Laboratory Medicine, University of Wisconsin-Madison, Madison, WI, USA
| | - Katie R Zarbock
- Department of Bacteriology, University of Wisconsin-Madison, Madison, WI, USA
| | - Sandra J Harding
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Nancy J Davenport-Sis
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Robert L Kerby
- Department of Bacteriology, University of Wisconsin-Madison, Madison, WI, USA
| | - Nathaniel Chin
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Yi Sun
- Department of Bacteriology, University of Wisconsin-Madison, Madison, WI, USA
| | - Ana Hoeft
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Yuetiva Deming
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
- Wisconsin Alzheimer's Institute, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
| | - Nicholas M Vogt
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Tobey J Betthauser
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Sterling C Johnson
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
- Wisconsin Alzheimer's Institute, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
| | - Sanjay Asthana
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | | | | | | | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
- UK Dementia Research Institute at UCL, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Federico E Rey
- Department of Bacteriology, University of Wisconsin-Madison, Madison, WI, USA.
| | - Barbara B Bendlin
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
- Wisconsin Alzheimer's Institute, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA.
| | - Tyler K Ulland
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
- Department of Pathology and Laboratory Medicine, University of Wisconsin-Madison, Madison, WI, USA.
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16
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Kulkarni AP, Hwang G, Cook CJ, Mohanty R, Guliani A, Nair VA, Bendlin BB, Meyerand E, Prabhakaran V. Genetic and environmental influence on resting state networks in young male and female adults: a cartographer mapping study. Hum Brain Mapp 2023; 44:5238-5293. [PMID: 36537283 PMCID: PMC10543121 DOI: 10.1002/hbm.25947] [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: 03/18/2021] [Revised: 04/16/2022] [Accepted: 04/19/2022] [Indexed: 09/07/2023] Open
Abstract
We propose a unique, minimal assumption, approach based on variance analyses (compared with standard approaches) to investigate genetic influence on individual differences on the functional connectivity of the brain using 65 monozygotic and 65 dizygotic healthy young adult twin pairs' low-frequency oscillation resting state functional Magnetic Resonance Imaging (fMRI) data from the Human Connectome Project. Overall, we found high number of genetically-influenced functional (GIF) connections involving posterior to posterior brain regions (occipital/temporal/parietal) implicated in low-level processes such as vision, perception, motion, categorization, dorsal/ventral stream visuospatial, and long-term memory processes, as well as high number across midline brain regions (cingulate) implicated in attentional processes, and emotional responses to pain. We found low number of GIF connections involving anterior to anterior/posterior brain regions (frontofrontal > frontoparietal, frontotemporal, frontooccipital) implicated in high-level processes such as working memory, reasoning, emotional judgment, language, and action planning. We found very low number of GIF connections involving subcortical/noncortical networks such as basal ganglia, thalamus, brainstem, and cerebellum. In terms of sex-specific individual differences, individual differences in males were more genetically influenced while individual differences in females were more environmentally influenced in terms of the interplay of interactions of Task positive networks (brain regions involved in various task-oriented processes and attending to and interacting with environment), extended Default Mode Network (a central brain hub for various processes such as internal monitoring, rumination, and evaluation of self and others), primary sensorimotor systems (vision, audition, somatosensory, and motor systems), and subcortical/noncortical networks. There were >8.5-19.1 times more GIF connections in males than females. These preliminary (young adult cohort-specific) findings suggest that individual differences in the resting state brain may be more genetically influenced in males and more environmentally influenced in females; furthermore, standard approaches may suggest that it is more substantially nonadditive genetics, rather than additive genetics, which contribute to the differences in sex-specific individual differences based on this young adult (male and female) specific cohort. Finally, considering the preliminary cohort-specific results, based on standard approaches, environmental influences on individual differences may be substantially greater than that of genetics, for either sex, frontally and brain-wide. [Correction added on 10 May 2023, after first online publication: added: functional Magnetic Resonance Imaging. Added: individual differences in, twice. Added statement between furthermore … based on standard approaches.].
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Affiliation(s)
- Arman P. Kulkarni
- Department of Biomedical EngineeringUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Gyujoon Hwang
- Department of Medical PhysicsUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Cole J. Cook
- Department of Medical PhysicsUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Rosaleena Mohanty
- Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and SocietyKarolinska InstitutetStockholmSweden
| | - Akhil Guliani
- Department of Computer ScienceUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Veena A. Nair
- Department of RadiologyUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Barbara B. Bendlin
- Department of MedicineUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Elizabeth Meyerand
- Department of Biomedical EngineeringUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
- Department of Medical PhysicsUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Vivek Prabhakaran
- Department of Medical PhysicsUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
- Department of Computer ScienceUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
- Department of MedicineUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
- Department of NeurologyUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
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17
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Denis C, Dabbs K, Nair VA, Mathis J, Almane DN, Lakshmanan A, Nencka A, Birn RM, Conant L, Humphries C, Felton E, Raghavan M, DeYoe EA, Binder JR, Hermann B, Prabhakaran V, Bendlin BB, Meyerand ME, Boly M, Struck AF. T1-/T2-weighted ratio reveals no alterations to gray matter myelination in temporal lobe epilepsy. Ann Clin Transl Neurol 2023; 10:2149-2154. [PMID: 37872734 PMCID: PMC10647008 DOI: 10.1002/acn3.51653] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Revised: 05/29/2022] [Accepted: 06/09/2022] [Indexed: 10/25/2023] Open
Abstract
Short-range functional connectivity in the limbic network is increased in patients with temporal lobe epilepsy (TLE), and recent studies have shown that cortical myelin content correlates with fMRI connectivity. We thus hypothesized that myelin may increase progressively in the epileptic network. We compared T1w/T2w gray matter myelin maps between TLE patients and age-matched controls and assessed relationships between myelin and aging. While both TLE patients and healthy controls exhibited increased T1w/T2w intensity with age, we found no evidence for significant group-level aberrations in overall myelin content or myelin changes through time in TLE.
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Affiliation(s)
- Colin Denis
- Department of NeurologyUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Kevin Dabbs
- Department of NeurologyUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Veena A. Nair
- Department of RadiologyUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Jedidiah Mathis
- Department of RadiologyMedical College of WisconsinMilwaukeeWisconsinUSA
| | - Dace N. Almane
- Department of NeurologyUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | | | - Andrew Nencka
- Department of RadiologyMedical College of WisconsinMilwaukeeWisconsinUSA
| | - Rasmus M. Birn
- Department of RadiologyUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
- Department of PsychiatryUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Lisa Conant
- Department of NeurologyMedical College of WisconsinMilwaukeeWisconsinUSA
| | - Colin Humphries
- Department of NeurologyMedical College of WisconsinMilwaukeeWisconsinUSA
| | - Elizabeth Felton
- Department of NeurologyUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Manoj Raghavan
- Department of NeurologyMedical College of WisconsinMilwaukeeWisconsinUSA
| | - Edgar A. DeYoe
- Department of RadiologyMedical College of WisconsinMilwaukeeWisconsinUSA
- Department of BiophysicsMedical College of WisconsinMilwaukeeWisconsinUSA
| | - Jeffrey R. Binder
- Department of NeurologyMedical College of WisconsinMilwaukeeWisconsinUSA
- Department of BiophysicsMedical College of WisconsinMilwaukeeWisconsinUSA
| | - Bruce Hermann
- Department of NeurologyUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Vivek Prabhakaran
- Department of RadiologyUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Barbara B. Bendlin
- Department of MedicineUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Mary E. Meyerand
- Department of Medical PhysicsUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
- Department of Biomedical EngineeringUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Mélanie Boly
- Department of NeurologyUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
- Department of PsychiatryUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Aaron F. Struck
- Department of NeurologyUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
- William S. Middleton Veterans Administration HospitalMadisonWisconsinUSA
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18
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Gallagher RL, Koscik RL, Moody JF, Vogt NM, Adluru N, Kecskemeti SR, Van Hulle CA, Chin NA, Asthana S, Kollmorgen G, Suridjan I, Carlsson CM, Johnson SC, Dean DC, Zetterberg H, Blennow K, Alexander AL, Bendlin BB. Neuroimaging of tissue microstructure as a marker of neurodegeneration in the AT(N) framework: defining abnormal neurodegeneration and improving prediction of clinical status. Alzheimers Res Ther 2023; 15:180. [PMID: 37848950 PMCID: PMC10583332 DOI: 10.1186/s13195-023-01281-y] [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: 12/03/2021] [Accepted: 07/27/2023] [Indexed: 10/19/2023]
Abstract
BACKGROUND Alzheimer's disease involves accumulating amyloid (A) and tau (T) pathology, and progressive neurodegeneration (N), leading to the development of the AD clinical syndrome. While several markers of N have been proposed, efforts to define normal vs. abnormal neurodegeneration based on neuroimaging have been limited. Sensitive markers that may account for or predict cognitive dysfunction for individuals in early disease stages are critical. METHODS Participants (n = 296) defined on A and T status and spanning the AD-clinical continuum underwent multi-shell diffusion-weighted magnetic resonance imaging to generate Neurite Orientation Dispersion and Density Imaging (NODDI) metrics, which were tested as markers of N. To better define N, we developed age- and sex-adjusted robust z-score values to quantify normal and AD-associated (abnormal) neurodegeneration in both cortical gray matter and subcortical white matter regions of interest. We used general logistic regression with receiver operating characteristic (ROC) and area under the curve (AUC) analysis to test whether NODDI metrics improved diagnostic accuracy compared to models that only relied on cerebrospinal fluid (CSF) A and T status (alone and in combination). RESULTS Using internal robust norms, we found that NODDI metrics correlate with worsening cognitive status and that NODDI captures early, AD neurodegenerative pathology in the gray matter of cognitively unimpaired, but A/T biomarker-positive, individuals. NODDI metrics utilized together with A and T status improved diagnostic prediction accuracy of AD clinical status, compared with models using CSF A and T status alone. CONCLUSION Using a robust norms approach, we show that abnormal AD-related neurodegeneration can be detected among cognitively unimpaired individuals. Metrics derived from diffusion-weighted imaging are potential sensitive markers of N and could be considered for trial enrichment and as outcomes in clinical trials. However, given the small sample sizes, the exploratory nature of the work must be acknowledged.
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Affiliation(s)
- Rigina L Gallagher
- School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
- Medical Scientist Training Program, University of Wisconsin-Madison, Madison, WI, USA
- Neuroscience Training Program, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Alzheimer's Disease Research Center, Madison, WI, USA
| | - Rebecca Langhough Koscik
- School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
- Wisconsin Alzheimer's Disease Research Center, Madison, WI, USA
- Wisconsin Alzheimer's Institute, Madison, WI, USA
| | - Jason F Moody
- School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
- Wisconsin Alzheimer's Disease Research Center, Madison, WI, USA
- Wisconsin Alzheimer's Institute, Madison, WI, USA
| | - Nicholas M Vogt
- School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
- Medical Scientist Training Program, University of Wisconsin-Madison, Madison, WI, USA
- Neuroscience Training Program, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Alzheimer's Disease Research Center, Madison, WI, USA
| | - Nagesh Adluru
- School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
- Wisconsin Alzheimer's Disease Research Center, Madison, WI, USA
- Waisman Research Center, Madison, WI, USA
| | | | - Carol A Van Hulle
- School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
- Wisconsin Alzheimer's Disease Research Center, Madison, WI, USA
| | - Nathaniel A Chin
- School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
- Wisconsin Alzheimer's Disease Research Center, Madison, WI, USA
| | - Sanjay Asthana
- School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
- Wisconsin Alzheimer's Disease Research Center, Madison, WI, USA
- Veterans Administration, Madison, WI, USA
| | | | | | - Cynthia M Carlsson
- School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
- Wisconsin Alzheimer's Disease Research Center, Madison, WI, USA
- Wisconsin Alzheimer's Institute, Madison, WI, USA
- Veterans Administration, Madison, WI, USA
| | - Sterling C Johnson
- School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
- Wisconsin Alzheimer's Disease Research Center, Madison, WI, USA
- Wisconsin Alzheimer's Institute, Madison, WI, USA
- Veterans Administration, Madison, WI, USA
| | - Douglas C Dean
- School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
- Waisman Research Center, Madison, WI, USA
| | - Henrik Zetterberg
- School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
- Wisconsin Alzheimer's Disease Research Center, Madison, WI, USA
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK
- UK Dementia Research Institute at UCL, London, UK
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Andrew L Alexander
- School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
- Waisman Research Center, Madison, WI, USA
| | - Barbara B Bendlin
- School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA.
- Wisconsin Alzheimer's Disease Research Center, Madison, WI, USA.
- Wisconsin Alzheimer's Institute, Madison, WI, USA.
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19
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Martinelli F, Heinken A, Henning AK, Wörheide MA, Hensen T, González A, Arnold M, Asthana S, Budde K, Engelman CD, Estaki M, Grabe HJ, Heston M, Johnson S, Kastenmüller G, Martino C, McDonald D, Rey F, Kilimann I, Peters O, Wang X, Spruth EJ, Schneider A, Fliessbach K, Wiltfang J, Hansen N, Glanz W, Buerger K, Janowitz D, Laske C, Munk MH, Spottke A, Roy N, Nauck M, Teipel S, Knight R, Kaddurah-Daouk R, Bendlin BB, Hertel J, Thiele I. Whole-body modelling reveals microbiome and genomic interactions on reduced urine formate levels in Alzheimer's disease. Res Sq 2023:rs.3.rs-3306891. [PMID: 37720019 PMCID: PMC10503865 DOI: 10.21203/rs.3.rs-3306891/v1] [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] [Subscribe] [Scholar Register] [Indexed: 09/19/2023]
Abstract
In this study, we aimed to understand the potential role of the gut microbiome in the development of Alzheimer's disease (AD). We took a multi-faceted approach to investigate this relationship. Urine metabolomics were examined in individuals with AD and controls, revealing decreased formate and fumarate concentrations in AD. Additionally, we utilized whole-genome sequencing (WGS) data obtained from a separate group of individuals with AD and controls. This information allowed us to create and investigate host-microbiome personalized models. Notably, AD individuals displayed diminished formate microbial secretion in these models. Additionally, we identified specific reactions responsible for the production of formate in the host, and interestingly, these reactions were linked to genes that have correlations with AD. This study suggests formate as a possible early AD marker and highlights genetic and microbiome contributions to its production. The reduced formate secretion and its genetic associations point to a complex connection between gut microbiota and AD. This holistic understanding might pave the way for novel diagnostic and therapeutic avenues in AD management.
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Affiliation(s)
| | | | | | - Maria A Wörheide
- Helmholtz Zentrum München - German Research Center for Environmental Health
| | | | | | - Matthias Arnold
- Helmholtz Zentrum München - German Research Center for Environmental Health
| | | | | | | | | | | | | | | | - Gabi Kastenmüller
- Helmholtz Zentrum München - German Research Center for Environmental Health
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Nina Roy
- German Center for Neurodegenerative Diseases
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20
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Girard G, Rafael-Patiño J, Truffet R, Aydogan DB, Adluru N, Nair VA, Prabhakaran V, Bendlin BB, Alexander AL, Bosticardo S, Gabusi I, Ocampo-Pineda M, Battocchio M, Piskorova Z, Bontempi P, Schiavi S, Daducci A, Stafiej A, Ciupek D, Bogusz F, Pieciak T, Frigo M, Sedlar S, Deslauriers-Gauthier S, Kojčić I, Zucchelli M, Laghrissi H, Ji Y, Deriche R, Schilling KG, Landman BA, Cacciola A, Basile GA, Bertino S, Newlin N, Kanakaraj P, Rheault F, Filipiak P, Shepherd TM, Lin YC, Placantonakis DG, Boada FE, Baete SH, Hernández-Gutiérrez E, Ramírez-Manzanares A, Coronado-Leija R, Stack-Sánchez P, Concha L, Descoteaux M, Mansour L S, Seguin C, Zalesky A, Marshall K, Canales-Rodríguez EJ, Wu Y, Ahmad S, Yap PT, Théberge A, Gagnon F, Massi F, Fischi-Gomez E, Gardier R, Haro JLV, Pizzolato M, Caruyer E, Thiran JP. Tractography passes the test: Results from the diffusion-simulated connectivity (disco) challenge. Neuroimage 2023; 277:120231. [PMID: 37330025 PMCID: PMC10771037 DOI: 10.1016/j.neuroimage.2023.120231] [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: 03/02/2023] [Revised: 05/12/2023] [Accepted: 06/14/2023] [Indexed: 06/19/2023] Open
Abstract
Estimating structural connectivity from diffusion-weighted magnetic resonance imaging is a challenging task, partly due to the presence of false-positive connections and the misestimation of connection weights. Building on previous efforts, the MICCAI-CDMRI Diffusion-Simulated Connectivity (DiSCo) challenge was carried out to evaluate state-of-the-art connectivity methods using novel large-scale numerical phantoms. The diffusion signal for the phantoms was obtained from Monte Carlo simulations. The results of the challenge suggest that methods selected by the 14 teams participating in the challenge can provide high correlations between estimated and ground-truth connectivity weights, in complex numerical environments. Additionally, the methods used by the participating teams were able to accurately identify the binary connectivity of the numerical dataset. However, specific false positive and false negative connections were consistently estimated across all methods. Although the challenge dataset doesn't capture the complexity of a real brain, it provided unique data with known macrostructure and microstructure ground-truth properties to facilitate the development of connectivity estimation methods.
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Affiliation(s)
- Gabriel Girard
- CIBM Center for Biomedical Imaging, Switzerland; Radiology Department, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland; Signal Processing Laboratory (LTS5), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
| | - Jonathan Rafael-Patiño
- Radiology Department, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland; Signal Processing Laboratory (LTS5), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
| | - Raphaël Truffet
- Univ Rennes, Inria, CNRS, Inserm, IRISA UMR 6074, Empenn ERL U-1228, Rennes, France
| | - Dogu Baran Aydogan
- A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland; Department of Neuroscience and Biomedical Engineering, Aalto University, Espoo, Finland; Department of Psychiatry, Helsinki University Hospital, Helsinki, Finland
| | - Nagesh Adluru
- Waisman Center, University of Wisconsin-Madison, Madison, WI, United States; Department of Radiology, University of Wisconsin-Madison, Madison, WI, United States
| | - Veena A Nair
- Department of Radiology, University of Wisconsin-Madison, Madison, WI, United States
| | - Vivek Prabhakaran
- Department of Radiology, University of Wisconsin-Madison, Madison, WI, United States
| | - Barbara B Bendlin
- Department of Medicine, University of Wisconsin-Madison, Madison, WI, United States
| | - Andrew L Alexander
- Waisman Center, University of Wisconsin-Madison, Madison, WI, United States; Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, United States; Department of Psychiatry, University of Wisconsin-Madison, Madison, WI, United States
| | - Sara Bosticardo
- Diffusion Imaging and Connectivity Estimation (DICE) Lab, Department of Computer Science, University of Verona, Verona, Italy; Translational Imaging in Neurology (ThINk), Department of Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Ilaria Gabusi
- Diffusion Imaging and Connectivity Estimation (DICE) Lab, Department of Computer Science, University of Verona, Verona, Italy; Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy
| | - Mario Ocampo-Pineda
- Diffusion Imaging and Connectivity Estimation (DICE) Lab, Department of Computer Science, University of Verona, Verona, Italy
| | - Matteo Battocchio
- Diffusion Imaging and Connectivity Estimation (DICE) Lab, Department of Computer Science, University of Verona, Verona, Italy; Sherbrooke Connectivity Imaging Laboratory (SCIL), Department of Computer Science, University of Sherbrooke, Sherbrooke, QC, Canada
| | - Zuzana Piskorova
- Diffusion Imaging and Connectivity Estimation (DICE) Lab, Department of Computer Science, University of Verona, Verona, Italy; Brno Faculty of Electrical Engineering and Communication, Department of mathematics, University of Technology, Brno, Czech Republic
| | - Pietro Bontempi
- Diffusion Imaging and Connectivity Estimation (DICE) Lab, Department of Computer Science, University of Verona, Verona, Italy
| | - Simona Schiavi
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy
| | - Alessandro Daducci
- Diffusion Imaging and Connectivity Estimation (DICE) Lab, Department of Computer Science, University of Verona, Verona, Italy
| | | | - Dominika Ciupek
- Sano Centre for Computational Personalised Medicine, Kraków, Poland
| | - Fabian Bogusz
- AGH University of Science and Technology, Kraków, Poland
| | - Tomasz Pieciak
- AGH University of Science and Technology, Kraków, Poland; Laboratorio de Procesado de Imagen (LPI), ETSI Telecomunicación, Universidad de Valladolid, Valladolid, Spain
| | - Matteo Frigo
- Athena Project Team, Centre Inria d'Université Côte d'Azur, France
| | - Sara Sedlar
- Athena Project Team, Centre Inria d'Université Côte d'Azur, France
| | | | - Ivana Kojčić
- Athena Project Team, Centre Inria d'Université Côte d'Azur, France
| | - Mauro Zucchelli
- Athena Project Team, Centre Inria d'Université Côte d'Azur, France
| | - Hiba Laghrissi
- Athena Project Team, Centre Inria d'Université Côte d'Azur, France; Institut de Biologie de Valrose, Université Côte d'Azur, Nice, France
| | - Yang Ji
- Athena Project Team, Centre Inria d'Université Côte d'Azur, France
| | - Rachid Deriche
- Athena Project Team, Centre Inria d'Université Côte d'Azur, France
| | - Kurt G Schilling
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Bennett A Landman
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States; Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, United States
| | - Alberto Cacciola
- Brain Mapping Lab, Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy; Center for Complex Network Intelligence (CCNI), Tsinghua Laboratory of Brain and Intelligence (THBI), Tsinghua University, Beijing, China; Department of Biomedical Engineering, Tsinghua University, Beijing, China
| | - Gianpaolo Antonio Basile
- Brain Mapping Lab, Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy
| | - Salvatore Bertino
- Brain Mapping Lab, Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy
| | - Nancy Newlin
- Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, United States
| | - Praitayini Kanakaraj
- Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, United States
| | - Francois Rheault
- Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, United States
| | - Patryk Filipiak
- Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, NYU Langone Health, New York, NY, United States
| | - Timothy M Shepherd
- Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, NYU Langone Health, New York, NY, United States
| | - Ying-Chia Lin
- Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, NYU Langone Health, New York, NY, United States
| | - Dimitris G Placantonakis
- Department of Neurosurgery, Perlmutter Cancer Center, Neuroscience Institute, Kimmel Center for Stem Cell Biology, NYU Langone Health, New York, NY, United States
| | - Fernando E Boada
- Department of Radiology, Stanford University, Stanford, CA, United States
| | - Steven H Baete
- Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, NYU Langone Health, New York, NY, United States
| | - Erick Hernández-Gutiérrez
- Sherbrooke Connectivity Imaging Laboratory (SCIL), Department of Computer Science, University of Sherbrooke, Sherbrooke, QC, Canada
| | | | - Ricardo Coronado-Leija
- Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, NYU Langone Health, New York, NY, United States
| | - Pablo Stack-Sánchez
- Computer Science Department, Centro de Investigación en Matemáticas A.C, Guanajuato, México
| | - Luis Concha
- Instituto de Neurobiología, Universidad Nacional Autónoma de México, Juriquilla, Querétaro, México
| | - Maxime Descoteaux
- Sherbrooke Connectivity Imaging Laboratory (SCIL), Department of Computer Science, University of Sherbrooke, Sherbrooke, QC, Canada
| | - Sina Mansour L
- Department of Biomedical Engineering, The University of Melbourne, Parkville, Victoria, Australia; Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Parkville, Victoria, Australia
| | - Caio Seguin
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Parkville, Victoria, Australia; School of Biomedical Engineering, The University of Sydney, Sydney, Australia; Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN, United States
| | - Andrew Zalesky
- Department of Biomedical Engineering, The University of Melbourne, Parkville, Victoria, Australia; Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Parkville, Victoria, Australia
| | - Kenji Marshall
- Signal Processing Laboratory (LTS5), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland; McGill University, Montréal, QC, Canada
| | - Erick J Canales-Rodríguez
- Signal Processing Laboratory (LTS5), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Ye Wu
- Department of Radiology and Biomedical Research Imaging Center (BRIC), The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States; School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China
| | - Sahar Ahmad
- Department of Radiology and Biomedical Research Imaging Center (BRIC), The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Pew-Thian Yap
- Department of Radiology and Biomedical Research Imaging Center (BRIC), The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Antoine Théberge
- Sherbrooke Connectivity Imaging Laboratory (SCIL), Department of Computer Science, University of Sherbrooke, Sherbrooke, QC, Canada
| | - Florence Gagnon
- Sherbrooke Connectivity Imaging Laboratory (SCIL), Department of Computer Science, University of Sherbrooke, Sherbrooke, QC, Canada
| | - Frédéric Massi
- Sherbrooke Connectivity Imaging Laboratory (SCIL), Department of Computer Science, University of Sherbrooke, Sherbrooke, QC, Canada
| | - Elda Fischi-Gomez
- CIBM Center for Biomedical Imaging, Switzerland; Radiology Department, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland; Signal Processing Laboratory (LTS5), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Rémy Gardier
- Signal Processing Laboratory (LTS5), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Juan Luis Villarreal Haro
- Signal Processing Laboratory (LTS5), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Marco Pizzolato
- Signal Processing Laboratory (LTS5), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland; Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kgs. Lyngby, Denmark
| | - Emmanuel Caruyer
- Univ Rennes, Inria, CNRS, Inserm, IRISA UMR 6074, Empenn ERL U-1228, Rennes, France
| | - Jean-Philippe Thiran
- CIBM Center for Biomedical Imaging, Switzerland; Radiology Department, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland; Signal Processing Laboratory (LTS5), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
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21
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Deming Y, Vasiljevic E, Morrow A, Miao J, Van Hulle C, Jonaitis E, Ma Y, Whitenack V, Kollmorgen G, Wild N, Suridjan I, Shaw LM, Asthana S, Carlsson CM, Johnson SC, Zetterberg H, Blennow K, Bendlin BB, Lu Q, Engelman CD. Neuropathology-based APOE genetic risk score better quantifies Alzheimer's risk. Alzheimers Dement 2023; 19:3406-3416. [PMID: 36795776 PMCID: PMC10427737 DOI: 10.1002/alz.12990] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Revised: 01/06/2023] [Accepted: 01/09/2023] [Indexed: 02/17/2023]
Abstract
INTRODUCTION Apolipoprotein E (APOE) ε4-carrier status or ε4 allele count are included in analyses to account for the APOE genetic effect on Alzheimer's disease (AD); however, this does not account for protective effects of APOE ε2 or heterogeneous effect of ε2, ε3, and ε4 haplotypes. METHODS We leveraged results from an autopsy-confirmed AD study to generate a weighted risk score for APOE (APOE-npscore). We regressed cerebrospinal fluid (CSF) amyloid and tau biomarkers on APOE variables from the Wisconsin Registry for Alzheimer's Prevention (WRAP), Wisconsin Alzheimer's Disease Research Center (WADRC), and Alzheimer's Disease Neuroimaging Initiative (ADNI). RESULTS The APOE-npscore explained more variance and provided a better model fit for all three CSF measures than APOE ε4-carrier status and ε4 allele count. These findings were replicated in ADNI and observed in subsets of cognitively unimpaired (CU) participants. DISCUSSION The APOE-npscore reflects the genetic effect on neuropathology and provides an improved method to account for APOE in AD-related analyses.
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Affiliation(s)
- Yuetiva Deming
- Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Eva Vasiljevic
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Center for Demography of Health and Aging, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Autumn Morrow
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Jiacheng Miao
- Department of Biostatistics and Medical Informatics, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Carol Van Hulle
- Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Erin Jonaitis
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Wisconsin Alzheimer's Institute, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Yue Ma
- Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Vanessa Whitenack
- Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | | | | | | | - Leslie M Shaw
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Sanjay Asthana
- Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, Wisconsin, USA
- William S. Middleton Memorial Veterans Hospital, Geriatric Research Education and Clinical Center, Madison, Wisconsin, USA
| | - Cynthia M Carlsson
- Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, Wisconsin, USA
- William S. Middleton Memorial Veterans Hospital, Geriatric Research Education and Clinical Center, Madison, Wisconsin, USA
| | - Sterling C Johnson
- Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, Wisconsin, USA
- William S. Middleton Memorial Veterans Hospital, Geriatric Research Education and Clinical Center, Madison, Wisconsin, USA
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- UK Dementia Research Institute at UCL, London, UK
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Barbara B Bendlin
- Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Qiongshi Lu
- Center for Demography of Health and Aging, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Department of Biostatistics and Medical Informatics, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Corinne D Engelman
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Center for Demography of Health and Aging, University of Wisconsin-Madison, Madison, Wisconsin, USA
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22
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Erickson P, Simrén J, Brum WS, Ennis GE, Kollmorgen G, Suridjan I, Langhough R, Jonaitis EM, Van Hulle CA, Betthauser TJ, Carlsson CM, Asthana S, Ashton NJ, Johnson SC, Shaw LM, Blennow K, Andreasson U, Bendlin BB, Zetterberg H. Prevalence and Clinical Implications of a β-Amyloid-Negative, Tau-Positive Cerebrospinal Fluid Biomarker Profile in Alzheimer Disease. JAMA Neurol 2023; 80:2807607. [PMID: 37523162 PMCID: PMC10391361 DOI: 10.1001/jamaneurol.2023.2338] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2023] [Accepted: 05/05/2023] [Indexed: 08/01/2023]
Abstract
Importance Knowledge is lacking on the prevalence and prognosis of individuals with a β-amyloid-negative, tau-positive (A-T+) cerebrospinal fluid (CSF) biomarker profile. Objective To estimate the prevalence of a CSF A-T+ biomarker profile and investigate its clinical implications. Design, Setting, and Participants This was a retrospective cohort study of the cross-sectional multicenter University of Gothenburg (UGOT) cohort (November 2019-January 2021), the longitudinal multicenter Alzheimer Disease Neuroimaging Initiative (ADNI) cohort (individuals with mild cognitive impairment [MCI] and no cognitive impairment; September 2005-May 2022), and 2 Wisconsin cohorts, Wisconsin Alzheimer Disease Research Center and Wisconsin Registry for Alzheimer Prevention (WISC; individuals without cognitive impairment; February 2007-November 2020). This was a multicenter study, with data collected from referral centers in clinical routine (UGOT) and research settings (ADNI and WISC). Eligible individuals had 1 lumbar puncture (all cohorts), 2 or more cognitive assessments (ADNI and WISC), and imaging (ADNI only) performed on 2 separate occasions. Data were analyzed on August 2022 to April 2023. Exposures Baseline CSF Aβ42/40 and phosphorylated tau (p-tau)181; cognitive tests (ADNI: modified preclinical Alzheimer cognitive composite [mPACC]; WISC: modified 3-test PACC [PACC-3]). Exposures in the ADNI cohort included [18F]-florbetapir amyloid positron emission tomography (PET), magnetic resonance imaging (MRI), [18F]-fluorodeoxyglucose PET (FDG-PET), and cross-sectional tau-PET (ADNI: [18F]-flortaucipir, WISC: [18F]-MK6240). Main Outcomes and Measures Primary outcomes were the prevalence of CSF AT biomarker profiles and continuous longitudinal global cognitive outcome and imaging biomarker trajectories in A-T+ vs A-T- groups. Secondary outcomes included cross-sectional tau-PET. Results A total of 7679 individuals (mean [SD] age, 71.0 [8.4] years; 4101 male [53%]) were included in the UGOT cohort, 970 individuals (mean [SD] age, 73 [7.0] years; 526 male [54%]) were included in the ADNI cohort, and 519 individuals (mean [SD] age, 60 [7.3] years; 346 female [67%]) were included in the WISC cohort. The prevalence of an A-T+ profile in the UGOT cohort was 4.1% (95% CI, 3.7%-4.6%), being less common than the other patterns. Longitudinally, no significant differences in rates of worsening were observed between A-T+ and A-T- profiles for cognition or imaging biomarkers. Cross-sectionally, A-T+ had similar tau-PET uptake to individuals with an A-T- biomarker profile. Conclusion and Relevance Results suggest that the CSF A-T+ biomarker profile was found in approximately 5% of lumbar punctures and was not associated with a higher rate of cognitive decline or biomarker signs of disease progression compared with biomarker-negative individuals.
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Affiliation(s)
- Pontus Erickson
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Joel Simrén
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Wagner S. Brum
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Graduate Program in Biological Sciences: Biochemistry, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Gilda E. Ennis
- School of Medicine and Public Health, University of Wisconsin-Madison, Madison
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison
| | | | | | - Rebecca Langhough
- School of Medicine and Public Health, University of Wisconsin-Madison, Madison
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison
| | - Erin M. Jonaitis
- School of Medicine and Public Health, University of Wisconsin-Madison, Madison
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison
| | - Carol A. Van Hulle
- School of Medicine and Public Health, University of Wisconsin-Madison, Madison
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison
| | - Tobey J. Betthauser
- School of Medicine and Public Health, University of Wisconsin-Madison, Madison
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison
| | - Cynthia M. Carlsson
- School of Medicine and Public Health, University of Wisconsin-Madison, Madison
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison
- Division of Geriatrics and Gerontology, Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison
- Geriatric Research Education and Clinical Center of the Wm. S. Middleton Memorial Veterans Hospital, Madison, Wisconsin
| | - Sanjay Asthana
- School of Medicine and Public Health, University of Wisconsin-Madison, Madison
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison
- Division of Geriatrics and Gerontology, Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison
- Geriatric Research Education and Clinical Center of the Wm. S. Middleton Memorial Veterans Hospital, Madison, Wisconsin
| | - Nicholas J. Ashton
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Institute of Psychiatry, Psychology and Neuroscience, Maurice Wohl Institute Clinical Neuroscience Institute, King’s College London, London, England
- NIHR Biomedical Research Centre for Mental Health and Biomedical Research Unit for Dementia at South London and Maudsley NHS Foundation, London, England
- Centre for Age-Related Medicine, Stavanger University Hospital, Stavanger, Norway
| | - Sterling C. Johnson
- School of Medicine and Public Health, University of Wisconsin-Madison, Madison
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison
| | - Leslie M. Shaw
- Department of Pathology and Laboratory Medicine, University of Pennsylvania School of Medicine, Philadelphia
| | - Kaj Blennow
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Ulf Andreasson
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Barbara B. Bendlin
- School of Medicine and Public Health, University of Wisconsin-Madison, Madison
| | - Henrik Zetterberg
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Gothenburg, Sweden
- School of Medicine and Public Health, University of Wisconsin-Madison, Madison
- Institute of Neurology, Department of Neurodegenerative Disease, University College London, London, England
- UK Dementia Research Institute, University College London, London, England
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
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23
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Nair AK, Van Hulle CA, Bendlin BB, Zetterberg H, Blennow K, Wild N, Kollmorgen G, Suridjan I, Busse WW, Dean DC, Rosenkranz MA. Impact of asthma on the brain: evidence from diffusion MRI, CSF biomarkers and cognitive decline. Brain Commun 2023; 5:fcad180. [PMID: 37377978 PMCID: PMC10292933 DOI: 10.1093/braincomms/fcad180] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 04/27/2023] [Accepted: 06/09/2023] [Indexed: 06/29/2023] Open
Abstract
Chronic systemic inflammation increases the risk of neurodegeneration, but the mechanisms remain unclear. Part of the challenge in reaching a nuanced understanding is the presence of multiple risk factors that interact to potentiate adverse consequences. To address modifiable risk factors and mitigate downstream effects, it is necessary, although difficult, to tease apart the contribution of an individual risk factor by accounting for concurrent factors such as advanced age, cardiovascular risk, and genetic predisposition. Using a case-control design, we investigated the influence of asthma, a highly prevalent chronic inflammatory disease of the airways, on brain health in participants recruited to the Wisconsin Alzheimer's Disease Research Center (31 asthma patients, 186 non-asthma controls, aged 45-90 years, 62.2% female, 92.2% cognitively unimpaired), a sample enriched for parental history of Alzheimer's disease. Asthma status was determined using detailed prescription information. We employed multi-shell diffusion weighted imaging scans and the three-compartment neurite orientation dispersion and density imaging model to assess white and gray matter microstructure. We used cerebrospinal fluid biomarkers to examine evidence of Alzheimer's disease pathology, glial activation, neuroinflammation and neurodegeneration. We evaluated cognitive changes over time using a preclinical Alzheimer cognitive composite. Using permutation analysis of linear models, we examined the moderating influence of asthma on relationships between diffusion imaging metrics, CSF biomarkers, and cognitive decline, controlling for age, sex, and cognitive status. We ran additional models controlling for cardiovascular risk and genetic risk of Alzheimer's disease, defined as a carrier of at least one apolipoprotein E (APOE) ε4 allele. Relative to controls, greater Alzheimer's disease pathology (lower amyloid-β42/amyloid-β40, higher phosphorylated-tau-181) and synaptic degeneration (neurogranin) biomarker concentrations were associated with more adverse white matter metrics (e.g. lower neurite density, higher mean diffusivity) in patients with asthma. Higher concentrations of the pleiotropic cytokine IL-6 and the glial marker S100B were associated with more salubrious white matter metrics in asthma, but not in controls. The adverse effects of age on white matter integrity were accelerated in asthma. Finally, we found evidence that in asthma, relative to controls, deterioration in white and gray matter microstructure was associated with accelerated cognitive decline. Taken together, our findings suggest that asthma accelerates white and gray matter microstructural changes associated with aging and increasing neuropathology, that in turn, are associated with more rapid cognitive decline. Effective asthma control, on the other hand, may be protective and slow progression of cognitive symptoms.
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Affiliation(s)
- Ajay Kumar Nair
- Center for Healthy Minds, University of Wisconsin-Madison, Madison, WI 53703, USA
| | - Carol A Van Hulle
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53792, USA
- Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53792, USA
| | - Barbara B Bendlin
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53792, USA
- Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53792, USA
- Wisconsin Alzheimer’s Institute, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53726, USA
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, S-431 30 Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, S-431 30 Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, WC1N 3BG, UK
- UK Dementia Research Institute at UCL, London, WCIE 6BT, UK
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong, Clear Water Bay, Hong Kong SAR, China
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, S-431 30 Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, S-431 30 Mölndal, Sweden
| | - Norbert Wild
- Roche Diagnostics GmbH, Core Lab RED, 82377 Penzberg, Germany
| | | | - Ivonne Suridjan
- CDMA Clinical Development, Roche Diagnostics International Ltd, CH-6346, Rotkreuz, Switzerland
| | - William W Busse
- Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53792, USA
| | - Douglas C Dean
- Department of Pediatrics, University of Wisconsin School of Medicine and Public Health, Madison, WI 53792, USA
- Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, WI 53705, USA
- Waisman Center, University of Wisconsin-Madison, Madison, WI 53705, USA
| | - Melissa A Rosenkranz
- Center for Healthy Minds, University of Wisconsin-Madison, Madison, WI 53703, USA
- Department of Psychiatry, University of Wisconsin-Madison, Madison, WI 53719, USA
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24
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Rowley PA, Paukner MJ, Eisenmenger LB, Field AS, Davidson RJ, Johnson SC, Asthana S, Chin NA, Prabhakaran V, Bendlin BB, Postle BR, Goldsmith HH, Carlsson CM, Brooks MA, Kalin NH, Williams LE, Rowley HA. Incidental Findings from 16,400 Brain MRI Examinations of Research Volunteers. AJNR Am J Neuroradiol 2023; 44:417-423. [PMID: 36927761 PMCID: PMC10084899 DOI: 10.3174/ajnr.a7821] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Accepted: 02/20/2023] [Indexed: 03/18/2023]
Abstract
BACKGROUND AND PURPOSE Incidental findings are discovered in neuroimaging research, ranging from trivial to life-threatening. We describe the prevalence and characteristics of incidental findings from 16,400 research brain MRIs, comparing spontaneous detection by nonradiology scanning staff versus formal neuroradiologist interpretation. MATERIALS AND METHODS We prospectively collected 16,400 brain MRIs (7782 males, 8618 females; younger than 1 to 94 years of age; median age, 38 years) under an institutional review board directive intended to identify clinically relevant incidental findings. The study population included 13,150 presumed healthy volunteers and 3250 individuals with known neurologic diagnoses. Scanning staff were asked to flag concerning imaging findings seen during the scan session, and neuroradiologists produced structured reports after reviewing every scan. RESULTS Neuroradiologists reported 13,593/16,400 (83%) scans as having normal findings, 2193/16,400 (13.3%) with abnormal findings without follow-up recommended, and 614/16,400 (3.7%) with "abnormal findings with follow-up recommended." The most common abnormalities prompting follow-up were vascular (263/614, 43%), neoplastic (130/614, 21%), and congenital (92/614, 15%). Volunteers older than 65 years of age were significantly more likely to have scans with abnormal findings (P < .001); however, among all volunteers with incidental findings, those younger than 65 years of age were more likely to be recommended for follow-up. Nonradiologists flagged <1% of MRIs containing at least 1 abnormality reported by the neuroradiologists to be concerning enough to warrant further evaluation. CONCLUSIONS Four percent of individuals who undergo research brain MRIs have an incidental, potentially clinically significant finding. Routine neuroradiologist review of all scans yields a much higher rate of significant lesion detection than selective referral from nonradiologists who perform the examinations. Workflow and scan review processes need to be carefully considered when designing research protocols.
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Affiliation(s)
- P A Rowley
- From the University of Wisconsin School of Medicine and Public Health (P.A.R., L.B.E., A.S.F., R.J.D., S.C.J., S.A., V.P., B.B.B., B.R.P., H.H.G., C.M.C., M.A.B., N.H.K., L.E.W., H.A.R.)
- Departments of Radiology (P.A.R., LB.E., A.S.F., V.P., H.A.R.)
| | | | - L B Eisenmenger
- From the University of Wisconsin School of Medicine and Public Health (P.A.R., L.B.E., A.S.F., R.J.D., S.C.J., S.A., V.P., B.B.B., B.R.P., H.H.G., C.M.C., M.A.B., N.H.K., L.E.W., H.A.R.)
- Departments of Radiology (P.A.R., LB.E., A.S.F., V.P., H.A.R.)
| | - A S Field
- From the University of Wisconsin School of Medicine and Public Health (P.A.R., L.B.E., A.S.F., R.J.D., S.C.J., S.A., V.P., B.B.B., B.R.P., H.H.G., C.M.C., M.A.B., N.H.K., L.E.W., H.A.R.)
- Departments of Radiology (P.A.R., LB.E., A.S.F., V.P., H.A.R.)
| | - R J Davidson
- From the University of Wisconsin School of Medicine and Public Health (P.A.R., L.B.E., A.S.F., R.J.D., S.C.J., S.A., V.P., B.B.B., B.R.P., H.H.G., C.M.C., M.A.B., N.H.K., L.E.W., H.A.R.)
- Psychology (R.J.D., B.R.P., H.H.G.)
| | - S C Johnson
- From the University of Wisconsin School of Medicine and Public Health (P.A.R., L.B.E., A.S.F., R.J.D., S.C.J., S.A., V.P., B.B.B., B.R.P., H.H.G., C.M.C., M.A.B., N.H.K., L.E.W., H.A.R.)
- Wisconsin Alzheimer's Disease Research Center (S.C.J., S.A., B.B.B., C.M.C.)
- Departments of Medicine (S.C.J., S.A., N.A.C., B.B.B., C.M.C.)
| | - S Asthana
- From the University of Wisconsin School of Medicine and Public Health (P.A.R., L.B.E., A.S.F., R.J.D., S.C.J., S.A., V.P., B.B.B., B.R.P., H.H.G., C.M.C., M.A.B., N.H.K., L.E.W., H.A.R.)
- Wisconsin Alzheimer's Disease Research Center (S.C.J., S.A., B.B.B., C.M.C.)
- Departments of Medicine (S.C.J., S.A., N.A.C., B.B.B., C.M.C.)
| | - N A Chin
- Departments of Medicine (S.C.J., S.A., N.A.C., B.B.B., C.M.C.)
| | - V Prabhakaran
- From the University of Wisconsin School of Medicine and Public Health (P.A.R., L.B.E., A.S.F., R.J.D., S.C.J., S.A., V.P., B.B.B., B.R.P., H.H.G., C.M.C., M.A.B., N.H.K., L.E.W., H.A.R.)
- Departments of Radiology (P.A.R., LB.E., A.S.F., V.P., H.A.R.)
| | - B B Bendlin
- From the University of Wisconsin School of Medicine and Public Health (P.A.R., L.B.E., A.S.F., R.J.D., S.C.J., S.A., V.P., B.B.B., B.R.P., H.H.G., C.M.C., M.A.B., N.H.K., L.E.W., H.A.R.)
- Wisconsin Alzheimer's Disease Research Center (S.C.J., S.A., B.B.B., C.M.C.)
- Departments of Medicine (S.C.J., S.A., N.A.C., B.B.B., C.M.C.)
| | - B R Postle
- From the University of Wisconsin School of Medicine and Public Health (P.A.R., L.B.E., A.S.F., R.J.D., S.C.J., S.A., V.P., B.B.B., B.R.P., H.H.G., C.M.C., M.A.B., N.H.K., L.E.W., H.A.R.)
- Psychology (R.J.D., B.R.P., H.H.G.)
| | - H H Goldsmith
- From the University of Wisconsin School of Medicine and Public Health (P.A.R., L.B.E., A.S.F., R.J.D., S.C.J., S.A., V.P., B.B.B., B.R.P., H.H.G., C.M.C., M.A.B., N.H.K., L.E.W., H.A.R.)
- Psychology (R.J.D., B.R.P., H.H.G.)
| | - C M Carlsson
- From the University of Wisconsin School of Medicine and Public Health (P.A.R., L.B.E., A.S.F., R.J.D., S.C.J., S.A., V.P., B.B.B., B.R.P., H.H.G., C.M.C., M.A.B., N.H.K., L.E.W., H.A.R.)
- Wisconsin Alzheimer's Disease Research Center (S.C.J., S.A., B.B.B., C.M.C.)
- Departments of Medicine (S.C.J., S.A., N.A.C., B.B.B., C.M.C.)
| | - M A Brooks
- From the University of Wisconsin School of Medicine and Public Health (P.A.R., L.B.E., A.S.F., R.J.D., S.C.J., S.A., V.P., B.B.B., B.R.P., H.H.G., C.M.C., M.A.B., N.H.K., L.E.W., H.A.R.)
- Orthopedics (M.A.B.)
| | - N H Kalin
- From the University of Wisconsin School of Medicine and Public Health (P.A.R., L.B.E., A.S.F., R.J.D., S.C.J., S.A., V.P., B.B.B., B.R.P., H.H.G., C.M.C., M.A.B., N.H.K., L.E.W., H.A.R.)
- Psychiatry (N.H.K., L.E.W.), University of Wisconsin-Madison, Madison, Wisconsin
| | - L E Williams
- From the University of Wisconsin School of Medicine and Public Health (P.A.R., L.B.E., A.S.F., R.J.D., S.C.J., S.A., V.P., B.B.B., B.R.P., H.H.G., C.M.C., M.A.B., N.H.K., L.E.W., H.A.R.)
- Psychiatry (N.H.K., L.E.W.), University of Wisconsin-Madison, Madison, Wisconsin
| | - H A Rowley
- From the University of Wisconsin School of Medicine and Public Health (P.A.R., L.B.E., A.S.F., R.J.D., S.C.J., S.A., V.P., B.B.B., B.R.P., H.H.G., C.M.C., M.A.B., N.H.K., L.E.W., H.A.R.)
- Departments of Radiology (P.A.R., LB.E., A.S.F., V.P., H.A.R.)
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25
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Benari O, Ravona Springer R, Almog G, Yore I, Zadok M, Lin HM, Ouyang Y, Sano M, Bendlin BB, Livny A, Heymann A, Schnaider Beeri M. Behavioral and Brain Correlates of Emotional Distress in Older Adults During COVID-19 Quarantine. Alzheimer Dis Assoc Disord 2023; 37:156-159. [PMID: 37027496 PMCID: PMC10219644 DOI: 10.1097/wad.0000000000000540] [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: 06/08/2022] [Accepted: 10/31/2022] [Indexed: 04/09/2023]
Abstract
COVID-19 led to unprecedented lockdowns and changes in older adults' lives, especially those with type 2 diabetes who have high risk of complications and mortality. We investigated the associations of cognitive and motor function and gray matter volumes (GMVs) with COVID-19 lockdown-related emotional distress of type 2 diabetes older adults, participating in the Israel Diabetes and Cognitive Decline Study. We administered a questionnaire to obtain information about anxiety, depression, general well-being, and optimism during a mandated lockdown. Lower grip strength before lockdown was associated with increased sadness, anxiety, and less optimism. Slower gait speed was associated with greater sadness. Lower GMV was related to greater anxiety during the lockdown when compared with anxiety levels before the COVID-19 outbreak. Yet, global cognition was not associated with any emotional distress measure. These results support the role of good motor function on emotional well-being during acute stress and GMV as a potential underlying mechanism.
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Affiliation(s)
- Ori Benari
- The Joseph Sagol Neuroscience Center
- Sackler Faculty of Medicine, Tel Aviv University
| | - Ramit Ravona Springer
- The Joseph Sagol Neuroscience Center
- Memory Clinic, Sheba Medical Center
- Sackler Faculty of Medicine, Tel Aviv University
| | | | | | | | - Hung-Mo Lin
- Departments of Population Health Science and Policy
| | - Yuxia Ouyang
- Departments of Population Health Science and Policy
| | - Mary Sano
- Psychiatry, The Icahn School of Medicine at Mount Sinai, New York, NY
| | - Barbara B. Bendlin
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI
| | - Abigail Livny
- The Joseph Sagol Neuroscience Center
- Department of Diagnostic imaging, Sheba Medical Center, Tel Hashomer
- Sackler Faculty of Medicine, Tel Aviv University
| | - Anthony Heymann
- Sackler Faculty of Medicine, Tel Aviv University
- Maccabi Healthcare Services, Tel Aviv, Israel
| | - Michal Schnaider Beeri
- The Joseph Sagol Neuroscience Center
- Psychiatry, The Icahn School of Medicine at Mount Sinai, New York, NY
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26
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Ennis GE, Betthauser TJ, Koscik RL, Chin NA, Christian BT, Asthana S, Johnson SC, Bendlin BB. The relationship of insulin resistance and diabetes to tau PET SUVR in middle-aged to older adults. Alzheimers Res Ther 2023; 15:55. [PMID: 36932429 PMCID: PMC10022314 DOI: 10.1186/s13195-023-01180-2] [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: 12/14/2022] [Accepted: 01/31/2023] [Indexed: 03/19/2023]
Abstract
BACKGROUND Insulin resistance (IR) and type 2 diabetes have been found to increase the risk for Alzheimer's clinical syndrome in epidemiologic studies but have not been associated with tau tangles in neuropathological research and have been inconsistently associated with cerebrospinal fluid P-tau181. IR and type 2 diabetes are well-recognized vascular risk factors. Some studies suggest that cardiovascular risk may act synergistically with cortical amyloid to increase tau measured using tau PET. Utilizing data from largely nondemented middle-aged and older adult cohorts enriched for AD risk, we investigated the association of IR and diabetes to tau PET and whether amyloid moderated those relationships. METHODS Participants were enrolled in either the Wisconsin Registry for Alzheimer's Prevention (WRAP) or Wisconsin Alzheimer's Disease Research Center (WI-ADRC) Clinical Core. Two partially overlapping samples were studied: a sample characterized using HOMA-IR (n=280 WRAP participants) and a sample characterized on diabetic status (n=285 WRAP and n=109 WI-ADRC). IR was measured using the homeostasis model assessment of insulin resistance (HOMA-IR). Tau PET employing the radioligand 18F-MK-6240 was used to detect AD-specific aggregated tau. Linear regression tested the relationship of IR and diabetic status to tau PET standardized uptake value ratio (SUVR) within the entorhinal cortex and whether relationships were moderated by amyloid assessed by amyloid PET distribution volume ratio (DVR) and amyloid PET positivity status. RESULTS Neither HOMA-IR nor diabetic status was significantly associated with tau PET SUVR. The relationship between IR and tau PET SUVR was not moderated by amyloid PET DVR or positivity status. The association between diabetic status and tau PET SUVR was not significantly moderated by amyloid PET DVR but was significantly moderated by amyloid PET positivity status. Among the amyloid PET-positive participants, the estimated marginal tau PET SUVR mean was higher in the diabetic (n=6) relative to the nondiabetic group (n=88). CONCLUSION Findings indicate that IR may not be related to tau in generally healthy middle-aged and older adults who are in the early stages of the AD clinicopathologic continuum but suggest the need for additional research to investigate whether a synergistic relationship between type 2 diabetes and amyloid is associated with increased tau levels.
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Affiliation(s)
- Gilda E Ennis
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA.
| | - Tobey J Betthauser
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
- Division of Geriatrics and Gerontology, Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
| | - Rebecca Langhough Koscik
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
- Wisconsin Alzheimer's Institute, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
| | - Nathaniel A Chin
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
- Division of Geriatrics and Gerontology, Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
- Wisconsin Alzheimer's Institute, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
| | - Bradley T Christian
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
- Waisman Laboratory for Brain Imaging and Behavior, University of Wisconsin-Madison, Madison, WI, USA
- Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, USA
| | - Sanjay Asthana
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
- Division of Geriatrics and Gerontology, Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
- Wisconsin Alzheimer's Institute, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
- Geriatric Research Education and Clinical Center, William S. Middleton Hospital Department of Veterans Affairs, Madison, WI, USA
| | - Sterling C Johnson
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
- Division of Geriatrics and Gerontology, Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
- Wisconsin Alzheimer's Institute, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
- Geriatric Research Education and Clinical Center, William S. Middleton Hospital Department of Veterans Affairs, Madison, WI, USA
| | - Barbara B Bendlin
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
- Division of Geriatrics and Gerontology, Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
- Wisconsin Alzheimer's Institute, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
- Geriatric Research Education and Clinical Center, William S. Middleton Hospital Department of Veterans Affairs, Madison, WI, USA
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27
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Du L, Langhough R, Hermann BP, Jonaitis E, Betthauser TJ, Cody KA, Mueller K, Zuelsdorff M, Chin N, Ennis GE, Bendlin BB, Gleason CE, Christian BT, Plante DT, Chappell R, Johnson SC. Associations between self-reported sleep patterns and health, cognition and amyloid measures: results from the Wisconsin Registry for Alzheimer's Prevention. Brain Commun 2023; 5:fcad039. [PMID: 36910417 PMCID: PMC9999364 DOI: 10.1093/braincomms/fcad039] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 12/09/2022] [Accepted: 02/22/2023] [Indexed: 02/25/2023] Open
Abstract
Previous studies suggest associations between self-reported sleep problems and poorer health, cognition, Alzheimer's disease pathology and dementia-related outcomes. It is important to develop a deeper understanding of the relationship between these complications and sleep disturbance, a modifiable risk factor, in late midlife, a time when Alzheimer's disease pathology may be accruing. The objectives of this study included application of unsupervised machine learning procedures to identify distinct subgroups of persons with problematic sleep and the association of these subgroups with concurrent measures of mental and physical health, cognition and PET-identified amyloid. Dementia-free participants from the Wisconsin Registry for Alzheimer's Prevention (n = 619) completed sleep questionnaires including the Insomnia Severity Index, Epworth Sleepiness Scale and Medical Outcomes Study Sleep Scale. K-means clustering analysis identified discrete sleep problem groups who were then compared across concurrent health outcomes (e.g. depression, self-rated health and insulin resistance), cognitive composite indices including episodic memory and executive function and, in a subset, Pittsburgh Compound B PET imaging to assess amyloid burden. Significant omnibus tests (P < 0.05) were followed with pairwise comparisons. Mean (SD) sample baseline sleep assessment age was 62.6 (6.7). Cluster analysis identified three groups: healthy sleepers [n = 262 (42.3%)], intermediate sleepers [n = 229 (37.0%)] and poor sleepers [n = 128 (20.7%)]. All omnibus tests comparing demographics and health measures across sleep groups were significant except for age, sex and apolipoprotein E e4 carriers; the poor sleepers group was worse than one or both of the other groups on all other measures, including measures of depression, self-reported health and memory complaints. The poor sleepers group had higher average body mass index, waist-hip ratio and homeostatic model assessment of insulin resistance. After adjusting for covariates, the poor sleepers group also performed worse on all concurrent cognitive composites except working memory. There were no differences between sleep groups on PET-based measures of amyloid. Sensitivity analyses indicated that while different clustering approaches resulted in different group assignments for some (predominantly the intermediate group), between-group patterns in outcomes were consistent. In conclusion, distinct sleep characteristics groups were identified with a sizable minority (20.7%) exhibiting poor sleep characteristics, and this group also exhibited the poorest concurrent mental and physical health and cognition, indicating substantial multi-morbidity; sleep group was not associated with amyloid PET estimates. Precision-based management of sleep and related factors may provide an opportunity for early intervention that could serve to delay or prevent clinical impairment.
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Affiliation(s)
- Lianlian Du
- Wisconsin Alzheimer’s Institute, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI 53726, USA
- Department of Biostatistics and Medical Informatics, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53792, USA
| | - Rebecca Langhough
- Wisconsin Alzheimer’s Institute, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI 53726, USA
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI 53792, USA
- Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI 53726, USA
| | - Bruce P Hermann
- Wisconsin Alzheimer’s Institute, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI 53726, USA
- Department of Neurology, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI 53726, USA
| | - Erin Jonaitis
- Wisconsin Alzheimer’s Institute, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI 53726, USA
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI 53792, USA
- Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI 53726, USA
| | - Tobey J Betthauser
- Wisconsin Alzheimer’s Institute, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI 53726, USA
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI 53792, USA
- Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI 53726, USA
| | - Karly Alex Cody
- Wisconsin Alzheimer’s Institute, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI 53726, USA
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI 53792, USA
- Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI 53726, USA
| | - Kimberly Mueller
- Wisconsin Alzheimer’s Institute, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI 53726, USA
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI 53792, USA
- Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI 53726, USA
| | - Megan Zuelsdorff
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI 53792, USA
- University of Wisconsin-Madison School of Nursing, Madison, WI 53705, USA
| | - Nathaniel Chin
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI 53792, USA
- Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI 53726, USA
| | - Gilda E Ennis
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI 53792, USA
- Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI 53726, USA
| | - Barbara B Bendlin
- Wisconsin Alzheimer’s Institute, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI 53726, USA
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI 53792, USA
- Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI 53726, USA
- Madison VA GRECC, William S. Middleton Memorial Hospital, Madison, WI 53705, USA
| | - Carey E Gleason
- Wisconsin Alzheimer’s Institute, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI 53726, USA
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI 53792, USA
- Madison VA GRECC, William S. Middleton Memorial Hospital, Madison, WI 53705, USA
| | - Bradley T Christian
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI 53792, USA
- Department of Medical Physics, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI 53705, USA
| | - David T Plante
- Department of Psychiatry, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI 53719, USA
| | - Rick Chappell
- Department of Biostatistics and Medical Informatics, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53792, USA
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI 53792, USA
| | - Sterling C Johnson
- Wisconsin Alzheimer’s Institute, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI 53726, USA
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI 53792, USA
- Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI 53726, USA
- Madison VA GRECC, William S. Middleton Memorial Hospital, Madison, WI 53705, USA
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Ben-Ami L, Ravona-Springer R, Tsarfaty G, Raizman R, Shumacher A, Sharvit-Ginon I, Greenbaum L, Bendlin BB, Okun E, Heymann A, Schnaider Beeri M, Livny A. Neural correlates of subjective cognitive decline in adults at high risk for Alzheimer's disease. Front Aging Neurosci 2023; 15:1067196. [PMID: 36819726 PMCID: PMC9930909 DOI: 10.3389/fnagi.2023.1067196] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Accepted: 01/16/2023] [Indexed: 02/04/2023] Open
Abstract
Introduction Recently, interest has emerged in subjective cognitive decline (SCD) as a potential precursor to Alzheimer's disease (AD) dementia. Whether individuals with SCD harbor brain alterations in midlife, when AD-related pathology begins, is yet to be elucidated. Furthermore, the role of apolipoprotein ε4 (APOE ε4) allele, a robust AD risk factor, in the relationship between SCD and brain alterations is unknown. We examined whether APOE genotype modulates the association of SCD with brain measures in individuals at high AD risk. Methods Middle-aged adults with parental history of AD dementia underwent magnetic resonance imaging (MRI) and the Memory Functioning Questionnaire. Regression analysis tested the extent to which SCD was associated with activation during an functional MRI (fMRI) working-memory task, and white-matter microstructure. APOE ε4 genotype was tested as a moderator. Results Among APOE ε4 carriers, but not among non-carriers, SCD was associated with higher activation in the anterior cingulate (p = 0.003), inferior, middle, and superior frontal cortices (p = 0.041, p = 0.048, p = 0.037, respectively); and with lower fractional anisotropy in the uncinate fasciculus (p = 0.002), adjusting for age, sex, and education. Conclusion In middle aged, cognitively normal individuals at high AD risk, higher SCD was associated with greater brain alterations possibly reflecting incipient AD pathology. When accompanied by a family history of AD and an APOE ε4 allele, SCD may have important clinical value, allowing a window for early intervention and for participants' stratification in AD prevention clinical trials.
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Affiliation(s)
- Liat Ben-Ami
- Division of Diagnostic Imaging, Sheba Medical Center, Ramat Gan, Israel,The Leslie and Susan Gonda Multidisciplinary Brain Research Center, Bar-Ilan University, Ramat Gan, Israel
| | - Ramit Ravona-Springer
- The Joseph Sagol Neuroscience Center, Sheba Medical Center, Tel HaShomer, Israel,Memory Clinic, Sheba Medical Center, Ramat Gan, Israel,Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Galia Tsarfaty
- Division of Diagnostic Imaging, Sheba Medical Center, Ramat Gan, Israel,Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Reut Raizman
- Division of Diagnostic Imaging, Sheba Medical Center, Ramat Gan, Israel
| | - Aleeza Shumacher
- Division of Diagnostic Imaging, Sheba Medical Center, Ramat Gan, Israel
| | - Inbal Sharvit-Ginon
- The Joseph Sagol Neuroscience Center, Sheba Medical Center, Tel HaShomer, Israel,Department of Psychology, Bar-Ilan University, Ramat Gan, Israel
| | - Lior Greenbaum
- The Joseph Sagol Neuroscience Center, Sheba Medical Center, Tel HaShomer, Israel,Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel,The Danek Gertner Institute of Human Genetics, Sheba Medical Center, Ramat Gan, Israel
| | - Barbara B. Bendlin
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin–Madison, Madison, WI, United States
| | - Eitan Okun
- The Leslie and Susan Gonda Multidisciplinary Brain Research Center, Bar-Ilan University, Ramat Gan, Israel,The Mina and Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat Gan, Israel,The Paul Feder Laboratory on Alzheimer’s Disease Research, Bar-Ilan University, Ramat Gan, Israel
| | - Anthony Heymann
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel,Maccabi Healthcare Services, Tel Aviv, Israel
| | - Michal Schnaider Beeri
- The Joseph Sagol Neuroscience Center, Sheba Medical Center, Tel HaShomer, Israel,Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Abigail Livny
- Division of Diagnostic Imaging, Sheba Medical Center, Ramat Gan, Israel,The Joseph Sagol Neuroscience Center, Sheba Medical Center, Tel HaShomer, Israel,Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel,The Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel,*Correspondence: Abigail Livny,
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Edmunds KJ, Driscoll I, Hagen EW, Barnet JH, Ravelo LA, Plante DT, Gaitán JM, Lose SR, Motovylyak A, Bendlin BB, Okonkwo OC, Peppard PE. Cardiorespiratory Fitness Attenuates the Deleterious Effects of Sleep Apnea on Cerebral Structure and Perfusion in the Wisconsin Sleep Cohort Study. J Alzheimers Dis 2023; 95:427-435. [PMID: 37545229 PMCID: PMC10810251 DOI: 10.3233/jad-220910] [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] [Indexed: 08/08/2023]
Abstract
BACKGROUND Emerging evidence suggests that age-related changes in cerebral health may be sensitive to vascular risk modifiers, such as physical activity and sleep. OBJECTIVE We examine whether cardiorespiratory fitness modifies the association of obstructive sleep apnea (OSA) severity with MRI-assessed measures of cerebral structure and perfusion. METHODS Using data from a cross-sectional sample of participants (n = 129, 51% female, age range 49.6-85.3 years) in the Wisconsin Sleep Cohort study, we estimated linear models of MRI-assessed total and regional gray matter (GM) and white matter (WM) volumes, WM hyperintensity (WMH:ICV ratio), total lesion volume, and arterial spin labeling (ASL) cerebral blood flow (CBF), using an estimated measure of cardiorespiratory fitness (CRF) and OSA severity as predictors. Participants' sleep was assessed using overnight in-laboratory polysomnography, and OSA severity was measured using the apnea-hypopnea index (AHI), or the mean number of recorded apnea and hypopnea events per hour of sleep. The mean±SD time difference between PSG data collection and MRI data collection was 1.7±1.5 years (range: [0, 4.9 years]). RESULTS OSA severity was associated with reduced total GM volume (β=-0.064; SE = 0.023; p = 0.007), greater total WM lesion volume (interaction p = 0.023), and greater WMHs (interaction p = 0.017) in less-fit subjects. Perfusion models revealed significant differences in the association of AHI and regional CBF between fitness groups (interaction ps < 0.05). CONCLUSION This work provides new evidence for the protective role of cardiorespiratory fitness against the deleterious effects of OSA on brain aging in late-middle age to older adults.
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Affiliation(s)
- Kyle J Edmunds
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin-Madison
| | - Ira Driscoll
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin-Madison
- Psychology Department, University of Wisconsin-Milwaukee
| | - Erika W Hagen
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison
| | - Jodi H Barnet
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison
| | - Laurel A Ravelo
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison
| | - David T Plante
- Department of Psychiatry, School of Medicine and Public Health, University of Wisconsin-Madison
| | - Julian M Gaitán
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin-Madison
| | - Sarah R Lose
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin-Madison
| | - Alice Motovylyak
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin-Madison
| | - Barbara B Bendlin
- Wisconsin Alzheimer’s Institute, School of Medicine and Public Health, University of Wisconsin-Madison
| | - Ozioma C Okonkwo
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin-Madison
| | - Paul E Peppard
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison
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30
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McIntyre CC, Gaitán JM, Edmunds KJ, Lose SR, Bendlin BB, Sager M, Asthana S, Johnson SC, Okonkwo OC. Insulin Homeostasis Mediates the Relationship Between Cardiorespiratory Fitness and Cognitive Speed in Aging Adults. J Alzheimers Dis 2023; 93:577-584. [PMID: 37066914 PMCID: PMC10324047 DOI: 10.3233/jad-221249] [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] [Indexed: 04/18/2023]
Abstract
BACKGROUND Cardiorespiratory fitness (CRF) supports cognition, though it is unclear what mechanisms underly this relationship. Insulin resistance adversely affects cognition but can be reduced with habitual exercise. OBJECTIVE We investigated whether insulin resistance statistically mediates the relationship between CRF and cognition. METHODS In our observational study, we included n = 1,131 cognitively unimpaired, nondiabetic older adults from a cohort characterized by elevated Alzheimer's disease (AD) risk. We estimated CRF (eCRF) using a validated equation that takes age, sex, body mass index, resting heart rate, and habitual physical activity as inputs. The Homeostatic Model Assessment for Insulin Resistance (HOMA-IR) quantified insulin resistance. Standardized cognitive factor scores for cognitive speed/flexibility, working memory, verbal learning/memory, and immediate memory were calculated from a battery of neuropsychological tests. Linear regression models and bootstrapped estimates of indirect effects were used to determine whether HOMA-IR mediated significant relationships between eCRF and cognition. RESULTS eCRF was positively associated with cognitive speed/flexibility (p = 0.034). When controlling for HOMA-IR, eCRF was no longer associated with cognitive speed/flexibility (p = 0.383). HOMA-IR had a significant indirect effect on the eCRF-cognition relationship (B = 0.025, CI = [0.003,0.051]). eCRF was not associated with working memory (p = 0.236), immediate memory (p = 0.345), or verbal learning/memory (p = 0.650). CONCLUSION Among older adults at risk for AD, peripheral insulin resistance mediates the relationship between CRF and cognitive speed.
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Affiliation(s)
- Clayton C. McIntyre
- Wisconsin Alzheimer’s Disease Research Center and Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI 53792
- Department of Neuroscience, Wake Forest University School of Medicine, Winston-Salem, NC 27101
| | - Julian M. Gaitán
- Wisconsin Alzheimer’s Disease Research Center and Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI 53792
| | - Kyle J. Edmunds
- Wisconsin Alzheimer’s Disease Research Center and Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI 53792
| | - Sarah R. Lose
- Wisconsin Alzheimer’s Disease Research Center and Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI 53792
| | - Barbara B. Bendlin
- Wisconsin Alzheimer’s Disease Research Center and Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI 53792
- Wisconsin Alzheimer’s Institute, University of Wisconsin School of Medicine and Public Health, Madison, WI 53792
| | - Mark Sager
- Wisconsin Alzheimer’s Institute, University of Wisconsin School of Medicine and Public Health, Madison, WI 53792
| | - Sanjay Asthana
- Wisconsin Alzheimer’s Disease Research Center and Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI 53792
| | - Sterling C. Johnson
- Wisconsin Alzheimer’s Disease Research Center and Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI 53792
- Wisconsin Alzheimer’s Institute, University of Wisconsin School of Medicine and Public Health, Madison, WI 53792
| | - Ozioma C. Okonkwo
- Wisconsin Alzheimer’s Disease Research Center and Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI 53792
- Wisconsin Alzheimer’s Institute, University of Wisconsin School of Medicine and Public Health, Madison, WI 53792
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31
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Moody JF, Dean DC, Kecskemeti SR, Blennow K, Zetterberg H, Kollmorgen G, Suridjan I, Wild N, Carlsson CM, Johnson SC, Alexander AL, Bendlin BB. Associations between diffusion MRI microstructure and cerebrospinal fluid markers of Alzheimer's disease pathology and neurodegeneration along the Alzheimer's disease continuum. Alzheimers Dement (Amst) 2022; 14:e12381. [PMID: 36479018 PMCID: PMC9720004 DOI: 10.1002/dad2.12381] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 09/14/2022] [Accepted: 10/29/2022] [Indexed: 12/07/2022]
Abstract
Introduction White matter (WM) degeneration is a critical component of early Alzheimer's disease (AD) pathophysiology. Diffusion-weighted imaging (DWI) models, including diffusion tensor imaging (DTI), neurite orientation dispersion and density imaging (NODDI), and mean apparent propagator MRI (MAP-MRI), have the potential to identify early neurodegenerative WM changes associated with AD. Methods We imaged 213 (198 cognitively unimpaired) aging adults with DWI and used tract-based spatial statistics to compare 15 DWI metrics of WM microstructure to 9 cerebrospinal fluid (CSF) markers of AD pathology and neurodegeneration treated as continuous variables. Results We found widespread WM injury in AD, as indexed by robust associations between DWI metrics and CSF biomarkers. MAP-MRI had more spatially diffuse relationships with Aβ42/40 and pTau, compared with NODDI and DTI. Discussion Our results suggest that WM degeneration may be more pervasive in AD than is commonly appreciated and that innovative DWI models such as MAP-MRI may provide clinically viable biomarkers of AD-related neurodegeneration in the earliest stages of AD progression.
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Affiliation(s)
- Jason F. Moody
- Wisconsin Alzheimer's Disease Research CenterUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Douglas C. Dean
- Waisman CenterUniversity of Wisconsin‐MadisonMadisonWisconsinUSA,Department of Medical PhysicsUniversity of Wisconsin‐MadisonMadisonWisconsinUSA,Department of PediatricsUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | | | - Kaj Blennow
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologySahlgrenska AcademyUniversity of GothenburgMölndalSweden,Clinical Neurochemistry LaboratorySahlgrenska University HospitalMölndalSweden
| | - Henrik Zetterberg
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologySahlgrenska AcademyUniversity of GothenburgMölndalSweden,Clinical Neurochemistry LaboratorySahlgrenska University HospitalMölndalSweden,Department of Neurodegenerative DiseaseUCL Institute of NeurologyLondonUK,UK Dementia Research InstituteUCLLondonUK,Hong Kong Center for Neurodegenerative DiseasesHong KongChina
| | | | | | | | - Cynthia M. Carlsson
- Wisconsin Alzheimer's Disease Research CenterUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Sterling C. Johnson
- Wisconsin Alzheimer's Disease Research CenterUniversity of Wisconsin‐MadisonMadisonWisconsinUSA,Geriatric Research Education and Clinical CenterMiddleton Memorial VA HospitalMadisonWisconsinUSA
| | - Andrew L. Alexander
- Waisman CenterUniversity of Wisconsin‐MadisonMadisonWisconsinUSA,Department of Medical PhysicsUniversity of Wisconsin‐MadisonMadisonWisconsinUSA,Department of PsychiatryUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Barbara B. Bendlin
- Wisconsin Alzheimer's Disease Research CenterUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
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32
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Ennis GE, Bouges S, Zuelsdorff M, Van Hulle CA, Jonaitis EM, Koscik RL, Lambrou NH, Salazar H, Carter FP, James TT, Johnson AL, Fischer BL, Kirmess K, Holubasch MS, Meyer MR, Venkatesh V, West T, Verghese PB, Yarasheski KE, Chin NA, Asthana S, Carlsson CM, Johnson SC, Bendlin BB, Gleason CE. Diabetes is related to cognition but not plasma amyloid‐β 42/40 in an African American cohort. Alzheimers Dement 2022. [DOI: 10.1002/alz.067925] [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: 12/24/2022]
Affiliation(s)
- Gilda E. Ennis
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Shenikqua Bouges
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health Madison WI USA
- VA Geriatric Research, Education and Clinical Center (GRECC), William S. Middleton Memorial Veterans Hospital Madison WI USA
- Division of Geriatrics and Gerontology, Department of Medicine, University of Wisconsin‐Madison, School of Medicine & Public Health Madison WI USA
| | - Megan Zuelsdorff
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health Madison WI USA
- University of Wisconsin‐Madison School of Nursing Madison WI USA
| | - Carol A. Van Hulle
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health Madison WI USA
- Wisconsin Alzheimer’s Institute, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
| | - Erin M. Jonaitis
- Wisconsin Alzheimer’s Institute, University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Rebecca Langhough Koscik
- Wisconsin Alzheimer's Institute, University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Nickolas H. Lambrou
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Hector Salazar
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Fabu P Carter
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Taryn T. James
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Adrienne L. Johnson
- University of Wisconsin ‐ Center for Tobacco Research and Intervention Madison WI USA
| | - Barbara L. Fischer
- 5. Madison VA GRECC, William S. Middleton Memorial Hospital Madison WI USA
- 6. Department of Neurology University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
| | | | | | | | | | - Tim West
- C2N Diagnostics, LLC Saint Louis MO USA
| | | | | | - Nathaniel A. Chin
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health Madison WI USA
- Department of Medicine, Geriatrics Division, University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Sanjay Asthana
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health Madison WI USA
- VA Geriatric Research, Education and Clinical Center (GRECC), William S. Middleton Memorial Veterans Hospital Madison WI USA
- Wisconsin Alzheimer’s Institute, University of Wisconsin School of Medicine and Public Health Madison WI USA
- Division of Geriatrics and Gerontology, Department of Medicine, University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Cynthia M. Carlsson
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health Madison WI USA
- VA Geriatric Research, Education and Clinical Center (GRECC), William S. Middleton Memorial Veterans Hospital Madison WI USA
- Wisconsin Alzheimer’s Institute, University of Wisconsin School of Medicine and Public Health Madison WI USA
- Department of Medicine, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
| | - Sterling C. Johnson
- Wisconsin Alzheimer’s Institute, University of Wisconsin School of Medicine and Public Health Madison WI USA
- Division of Geriatrics and Gerontology, Department of Medicine, University of Wisconsin School of Medicine and Public Health Madison WI USA
- Wisconsin Alzheimer's Disease Research Center Madison WI USA
- Geriatric Research Education and Clinical Center, William S. Middleton Veterans Hospital Madison WI USA
| | - Barbara B. Bendlin
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health Madison WI USA
- University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
| | - Carey E. Gleason
- Geriatric Research, Education, and Clinical Center (GRECC), Middleton Memorial Veterans Hospital Madison WI USA
- Division of Geriatrics and Gerontology, Department of Medicine, University of Wisconsin School of Medicine & Public Health Madison WI USA
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
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33
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DiFilippo AH, Xin Y, Jonaitis EM, Kohli A, Ennis GE, McVea AK, McLachlan M, Pasquesi M, Davenport NJ, Betthauser TJ, Barnhart TE, Engle JW, Johnson SC, Bendlin BB, Christian BT. Lower synaptic density and higher neurofibrillary tau are associated with worse cognitive performance. Alzheimers Dement 2022. [DOI: 10.1002/alz.067997] [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: 12/24/2022]
Affiliation(s)
| | - Yangchun Xin
- Waisman Center, University of Wisconsin‐Madison Madison WI USA
| | - Erin M. Jonaitis
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Akshay Kohli
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Gilda E. Ennis
- Wisconsin Alzheimer’s Disease Research Center Madison WI USA
| | - Andrew K McVea
- Waisman Center, University of Wisconsin‐Madison Madison WI USA
| | - Max McLachlan
- Waisman Center, University of Wisconsin‐Madison Madison WI USA
| | | | | | | | - Todd E Barnhart
- University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
| | - Jonathan W Engle
- University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
| | | | - Barbara B. Bendlin
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health Madison WI USA
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Forst AA, Heston MB, González A, Chin NA, Przybelski RJ, Johnson SC, Asthana S, Knight R, Kaddurah‐Daouk R, Rey FE, Bendlin BB. Bacteroides
genus is associated with lower executive function in cognitively unimpaired participants. Alzheimers Dement 2022. [DOI: 10.1002/alz.069291] [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: 12/24/2022]
Affiliation(s)
| | - Margo B. Heston
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health Madison WI USA
- University of Wisconsin School of Medicine and Public Health, Wisconsin Alzheimer’s Disease Research Center Madison WI USA
| | | | - Nathaniel A. Chin
- University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
| | | | - Sterling C. Johnson
- Wisconsin Alzheimer’s Institute, University of Wisconsin School of Medicine and Public Health Madison WI USA
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin‐Madison Madison WI USA
| | - Sanjay Asthana
- Alzheimer’s Disease Research Center, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
| | - Rob Knight
- University of California at San Diego San Diego CA USA
| | | | | | - Barbara B. Bendlin
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health Madison WI USA
- Wisconsin Alzheimer’s Institute, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
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Kohli A, Kecskemeti SR, Yang KL, III DCD, Asthana S, Johnson SC, Alexander AL, Bendlin BB. Quantitative myelin imaging with MPnRAGE‐derived R1 mapping: Applications to Alzheimer’s disease. Alzheimers Dement 2022. [DOI: 10.1002/alz.061297] [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: 12/24/2022]
Affiliation(s)
- Akshay Kohli
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health Madison WI USA
| | | | - Kao Lee Yang
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Doug C Dean III
- Waisman Center, University of Wisconsin‐Madison WI Madison USA
| | - Sanjay Asthana
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Sterling C. Johnson
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health Madison WI USA
| | | | - Barbara B. Bendlin
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health Madison WI USA
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Moody JF, III DCD, Kecskemeti SR, Johnson SC, Alexander AL, Bendlin BB. Improving Early Detection of White Matter Degeneration in Aging and Dementia along the AD continuum. Alzheimers Dement 2022. [DOI: 10.1002/alz.067602] [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: 12/24/2022]
Affiliation(s)
- Jason F Moody
- Department of Medical Physics, University of Wisconsin‐Madison Madison WI USA
| | - Douglas C Dean III
- Department of Pediatrics, University of Wisconsin Madison WI USA
- Waisman Center, University of Wisconsin Madison WI USA
- Department of Medical Physics, University of Wisconsin Madison WI USA
| | | | - Sterling C. Johnson
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health Madison WI USA
- Geriatric Research Education and Clinical Center, William S. Middleton Veterans Hospital Madison WI USA
| | - Andrew L Alexander
- Department of Medical Physics, University of Wisconsin Madison WI USA
- Waisman Center, University of Wisconsin‐Madison Madison WI USA
- Department of Psychiatry, University of Wisconsin Madison WI USA
| | - Barbara B. Bendlin
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health Madison WI USA
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37
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Kohli A, Kecskemeti SR, Yang KL, Oh JM, Nair VA, Pasquesi M, Okonkwo OC, Alexander AL, Prabhakaran V, Li S, Bendlin BB. Higher cortical myelin is associated with worse performance on cognitive tests: Findings from the Alzheimer’s Disease Connectome Project. Alzheimers Dement 2022. [DOI: 10.1002/alz.067930] [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: 12/24/2022]
Affiliation(s)
- Akshay Kohli
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health Madison WI USA
| | | | - Kao Lee Yang
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Jennifer M. Oh
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health Madison WI USA
| | | | - Mary‐Elizabeth Pasquesi
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Ozioma C. Okonkwo
- Alzheimer's Disease Research Center, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
| | | | | | | | - Barbara B. Bendlin
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health Madison WI USA
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Merkel EX, Ennis GE, Cadman RV, Koscik RL, Ma Y, Asthana S, Johnson SC, Kind AJ, Bendlin BB. Testing the Association Between Neighborhood Disadvantage and White Matter Hyperintensities. Alzheimers Dement 2022. [DOI: 10.1002/alz.069324] [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: 12/24/2022]
Affiliation(s)
- Emily X. Merkel
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Gilda E. Ennis
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Robert V. Cadman
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Rebecca Langhough Koscik
- Wisconsin Alzheimer’s Institute, University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Yue Ma
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Sanjay Asthana
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health Madison WI USA
- Wisconsin Alzheimer’s Institute, University of Wisconsin School of Medicine and Public Health Madison WI USA
- Geriatric Research Education and Clinical Center, William S. Middleton Veterans Hospital Madison WI USA
- Division of Geriatrics and Gerontology, Department of Medicine, University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Sterling C. Johnson
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health Madison WI USA
- Wisconsin Alzheimer’s Institute, University of Wisconsin School of Medicine and Public Health Madison WI USA
- Geriatric Research Education and Clinical Center, William S. Middleton Veterans Hospital Madison WI USA
- Division of Geriatrics and Gerontology, Department of Medicine, University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Amy J. Kind
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health Madison WI USA
- Geriatric Research Education and Clinical Center, William S. Middleton Veterans Hospital Madison WI USA
- Division of Geriatrics and Gerontology, Department of Medicine, University of Wisconsin School of Medicine and Public Health Madison WI USA
- Center for Health Disparities Research, University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Barbara B. Bendlin
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health Madison WI USA
- Geriatric Research Education and Clinical Center, William S. Middleton Veterans Hospital Madison WI USA
- Division of Geriatrics and Gerontology, Department of Medicine, University of Wisconsin School of Medicine and Public Health Madison WI USA
- Center for Health Disparities Research, University of Wisconsin School of Medicine and Public Health Madison WI USA
- Wisconsin Alzheimer’s Institute, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
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39
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Gupta LE, Kohli A, Oh JM, Yang KL, Betthauser TJ, Chin NA, Nair VA, Prabhakaran V, Okonkwo OC, Li S, Bendlin BB. Poorer dexterity is associated with underlying Alzheimer’s disease brain pathology. Alzheimers Dement 2022. [DOI: 10.1002/alz.069212] [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: 12/24/2022]
Affiliation(s)
- Lily Eliza Gupta
- Alzheimer's Disease Research Center, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
| | - Akshay Kohli
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health Madison WI USA
- Department of Medicine, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
- Neuroscience Training Program, University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Jennifer M. Oh
- Alzheimer's Disease Research Center, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
- University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Kao Lee Yang
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health Madison WI USA
- Neuroscience and Public Policy Program, University of Wisconsin Madison WI USA
| | - Tobey J Betthauser
- Alzheimer's Disease Research Center, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
- Wisconsin Alzheimer’s Institute, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
| | - Nathaniel A. Chin
- Alzheimer's Disease Research Center, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
- Geriatric Research Education and Clinical Center, William S. Middleton Veterans Hospital Madison WI USA
| | - Veena A. Nair
- Alzheimer's Disease Research Center, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
- Department of Radiology, University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Vivek Prabhakaran
- Alzheimer's Disease Research Center, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
| | - Ozioma C. Okonkwo
- Alzheimer's Disease Research Center, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
| | | | - Barbara B. Bendlin
- Alzheimer's Disease Research Center, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
- Wisconsin Alzheimer’s Institute, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
- Department of Medicine, University of Wisconsin School of Medicine and Public Health Madison WI USA
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40
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Bendlin BB. Gut microbiome alterations in Alzheimer’s disease. Alzheimers Dement 2022. [DOI: 10.1002/alz.069987] [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: 12/24/2022]
Affiliation(s)
- Barbara B. Bendlin
- Division of Geriatrics and Gerontology, Department of Medicine, University of Wisconsin School of Medicine & Public Health Madison WI USA
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Shippy D, Hanslik K, Wilhelm C, Patel V, Zarbock KR, Bendlin BB, Rey FE, Raife T, Ulland TK. Inhibition of Inflammasome Activation through the Modulation of b‐hydroxybutyrate Levels
In vivo
Decreases Alzheimer’s Disease Pathology. Alzheimers Dement 2022. [DOI: 10.1002/alz.067286] [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: 12/24/2022]
Affiliation(s)
| | | | | | | | - Katie R Zarbock
- Wisconsin School of Medicine and Public Health, Department of Pathology and Laboratory Medicine Madison WI USA
| | - Barbara B. Bendlin
- University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
| | | | | | - Tyler K. Ulland
- University of Wisconsin School of Medicine and Public Health WI Madison USA
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42
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Zuelsdorff M, Van Hulle CA, McLester‐Davis LWY, Chin NA, Livingston S, Logan J, Carlsson CM, Okonkwo OC, Gleason CE, Bendlin BB, Asthana S, Johnson SC, Betthauser TJ. Relationships between psychosocial stress, cerebrospinal fluid markers of Alzheimer’s disease, and cognitive function in middle‐aged and older adults. Alzheimers Dement 2022. [DOI: 10.1002/alz.069307] [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: 12/24/2022]
Affiliation(s)
- Megan Zuelsdorff
- University of Wisconsin‐Madison School of Nursing Madison WI USA
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Carol A. Van Hulle
- Division of Geriatrics and Gerontology, Department of Medicine, University of Wisconsin‐Madison, School of Medicine & Public Health Madison WI USA
| | | | - Nathaniel A. Chin
- Department of Medicine, Geriatrics Division, University of Wisconsin School of Medicine and Public Health Madison WI USA
| | | | - Julianne Logan
- University of Wisconsin‐Madison School of Nursing Madison WI USA
| | - Cynthia M. Carlsson
- Division of Geriatrics and Gerontology, Department of Medicine, University of Wisconsin‐Madison, School of Medicine & Public Health Madison WI USA
- VA Geriatric Research, Education and Clinical Center (GRECC), William S. Middleton Memorial Veterans Hospital Madison WI USA
- Wisconsin Alzheimer’s Institute, University of Wisconsin, University of Wisconsin, Madison, WI, USA Madison WI USA
| | - Ozioma C. Okonkwo
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Carey E. Gleason
- William S. Middleton Veterans Hospital Geriatric Research Education and Clinical Center Madison WI USA
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin‐Madison School of Medicine and Public Health, Madison WI USA
| | - Barbara B. Bendlin
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Sanjay Asthana
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health Madison WI USA
- Division of Geriatrics and Gerontology, Department of Medicine, University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Sterling C. Johnson
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health Madison WI USA
- Wisconsin Alzheimer’s Institute, University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Tobey J Betthauser
- Division of Geriatrics and Gerontology, Department of Medicine, University of Wisconsin School of Medicine & Public Health Madison WI USA
- Alzheimer’s Disease Research Center, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
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Yang KL, Heston MB, Kohli A, Kecskemeti SR, González A, Knight R, Kaddurah‐Daouk R, Rey FE, Bendlin BB. Associations between gut microbial families and brain myelin in a human cohort. Alzheimers Dement 2022. [DOI: 10.1002/alz.069400] [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: 12/24/2022]
Affiliation(s)
- Kao Lee Yang
- Neuroscience Training Program, University of Wisconsin School of Medicine and Public Health Madison WI USA
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Margo B. Heston
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health Madison WI USA
- Cellular and Molecular Pathology PhD Program, University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Akshay Kohli
- Neuroscience Training Program, University of Wisconsin School of Medicine and Public Health Madison WI USA
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health Madison WI USA
| | | | - Antonio González
- Center for Microbiome Innovation, University of California San Diego CA USA
| | - Rob Knight
- Center for Microbiome Innovation, University of California San Diego CA USA
| | | | - Federico E. Rey
- Department of Bacteriology, University of Wisconsin Madison WI USA
| | - Barbara B. Bendlin
- Neuroscience Training Program, University of Wisconsin School of Medicine and Public Health Madison WI USA
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health Madison WI USA
- Department of Medicine, University of Wisconsin School of Medicine and Public Health Madison WI USA
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44
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Peter D, Ennis GE, Eren E, III DCD, Oh JM, Asthana S, Johnson SC, Kapogiannis D, Bendlin BB. Brain insulin signaling and neurodegeneration: IRS‐1 isolated from neuronal enriched extracellular vesicles associates with frontal lobe gray matter volume in cognitively unimpaired adults. Alzheimers Dement 2022. [DOI: 10.1002/alz.062872] [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: 12/24/2022]
Affiliation(s)
- Darby Peter
- Alzheimer's Disease Research Center, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
- Department of Medicine, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
| | - Gilda E. Ennis
- Department of Medicine, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
- Wisconsin Alzheimer’s Disease Research Center Madison WI USA
| | - Erden Eren
- National Institute on Aging/National Institutes of Health Baltimore MD USA
| | - Doug C Dean III
- Waisman Center, University of Wisconsin‐Madison Madison WI USA
| | - Jennifer M. Oh
- Alzheimer's Disease Research Center, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
- University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Sanjay Asthana
- Alzheimer's Disease Research Center, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
- Department of Medicine, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
- University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Sterling C. Johnson
- Department of Medicine, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
- University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
- Alzheimer’s Disease Research Center, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
| | | | - Barbara B. Bendlin
- Alzheimer's Disease Research Center, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
- University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
- Department of Medicine, University of Wisconsin School of Medicine and Public Health Madison WI USA
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45
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Rowley HA, Rowley PA, Field AS, Johnson SC, Carlsson CM, Asthana S, Chin NA, Bendlin BB, Okonkwo OC. Unexpected Findings from 8,205 Brain Magnetic Resonance Imaging Examinations of Research Volunteers ≥ 40 years old. Alzheimers Dement 2022. [DOI: 10.1002/alz.065845] [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: 12/24/2022]
Affiliation(s)
- Howard A. Rowley
- Wisconsin Alzheimer's Disease Research Center Madison WI USA
- University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Paul A Rowley
- University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Aaron S Field
- University of Wisconsin School of Medicine and Public Health Madison WI USA
- University of Wisconsin‐Madison Madison WI USA
| | - Sterling C. Johnson
- University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
- Wisconsin Alzheimer’s Institute, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
- Department of Medicine, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
- Alzheimer’s Disease Research Center, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
| | - Cynthia M. Carlsson
- Department of Medicine, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
- Alzheimer’s Disease Research Center, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
- Wisconsin Alzheimer’s Institute, University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Sanjay Asthana
- Wisconsin Alzheimer’s Institute, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
- Department of Medicine, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
- VA Geriatric Research, Education and Clinical Center (GRECC), William S. Middleton Memorial Veterans Hospital Madison WI USA
- Alzheimer's Disease Research Center, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
| | - Nathaniel A. Chin
- University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
- Wisconsin Alzheimer’s Institute, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
- Department of Medicine, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
- VA Geriatric Research, Education and Clinical Center (GRECC), William S. Middleton Memorial Veterans Hospital Madison WI USA
| | - Barbara B. Bendlin
- University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health Madison WI USA
- Department of Medicine, University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Ozioma C. Okonkwo
- Alzheimer's Disease Research Center, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
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Hale MR, Koscik RL, Du L, Hermann BP, Van Hulle CA, Suridjan I, Kollmorgen G, Basche KE, Bruno D, Sanson‐Miles L, Jonaitis EM, Chin NA, Okonkwo OC, Bendlin BB, Carlsson CM, Zetterberg H, Blennow K, Betthauser TJ, Johnson SC, Mueller KD. Associations between semantic memory for proper names in story recall and CSF amyloid and tau in a cognitively unimpaired sample. Alzheimers Dement 2022. [DOI: 10.1002/alz.059439] [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: 12/24/2022]
Affiliation(s)
- Madeline R Hale
- University of Wisconsin‐Madison Madison WI USA
- Department of Communication Sciences and Disorders, University of Wisconsin‐Madison Madison WI USA
| | - Rebecca Langhough Koscik
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health Madison WI USA
- School of Medicine and Public Health, University of Wisconsin‐Madison Madison WI USA
- Department of Medicine, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
- Wisconsin Alzheimer’s Institute, University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Lianlian Du
- School of Medicine and Public Health, University of Wisconsin‐Madison Madison WI USA
- Department of Biostatistics and Medical Informatics, School of Medicine and Public Health, University of Wisconsin‐Madison Madison WI USA
- Wisconsin Alzheimer’s Institute, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
| | - Bruce P Hermann
- University of Wisconsin‐Madison Madison WI USA
- School of Medicine and Public Health, University of Wisconsin‐Madison Madison WI USA
- Wisconsin Alzheimer’s Institute, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
- Department of Neurology, School of Medicine and Public Health, Univeristy of Wisconsin‐Madison Madison WI USA
- Alzheimer’s Disease Research Center, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
| | - Carol A. Van Hulle
- University of Wisconsin‐Madison Madison WI USA
- Department of Medicine, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
- Wisconsin Alzheimer’s Institute, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
- Alzheimer’s Disease Research Center, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
- Division of Geriatrics and Gerontology, Department of Medicine, University of Wisconsin‐Madison, School of Medicine & Public Health Madison WI USA
| | | | | | - Kristin E Basche
- Department of Medicine, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
- Alzheimer’s Disease Research Center, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
| | - Davide Bruno
- Liverpool John Moores University Liverpool United Kingdom
| | - Leah Sanson‐Miles
- Department of Communication Sciences and Disorders, University of Wisconsin‐Madison Madison WI USA
| | - Erin M. Jonaitis
- School of Medicine and Public Health, University of Wisconsin‐Madison Madison WI USA
- Department of Medicine, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
- Wisconsin Alzheimer’s Institute, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
- Alzheimer’s Disease Research Center, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
| | - Nathaniel A. Chin
- School of Medicine and Public Health, University of Wisconsin‐Madison Madison WI USA
- Department of Medicine, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
- Wisconsin Alzheimer’s Institute, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
- VA Geriatric Research, Education and Clinical Center (GRECC), William S. Middleton Memorial Veterans Hospital Madison WI USA
- Alzheimer’s Disease Research Center, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
| | - Ozioma C. Okonkwo
- School of Medicine and Public Health, University of Wisconsin‐Madison Madison WI USA
| | - Barbara B. Bendlin
- University of Wisconsin‐Madison Madison WI USA
- School of Medicine and Public Health, University of Wisconsin‐Madison Madison WI USA
- Department of Medicine, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
- Wisconsin Alzheimer’s Institute, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
- Alzheimer’s Disease Research Center, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
| | - Cynthia M. Carlsson
- University of Wisconsin‐Madison Madison WI USA
- School of Medicine and Public Health, University of Wisconsin‐Madison Madison WI USA
- Department of Medicine, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
- Wisconsin Alzheimer’s Institute, University of Wisconsin School of Medicine and Public Health Madison WI USA
- Alzheimer’s Disease Research Center, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
| | - Henrik Zetterberg
- University of Gothenburg Mölndal Sweden
- Hong Kong Center for Neurodegenerative Diseases Clear Water Bay Hong Kong
- The Sahlgrenska Academy at the University of Gothenburg Mölndal Sweden
- UK Dementia Research Institute at UCL London United Kingdom
- UCL Queen Square Institute of Neurology London United Kingdom
| | - Kaj Blennow
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital Mölndal Sweden
- Universitat Pompeu Fabra Barcelona Spain
- Institute of Neuroscience & Physiology, Department of Psychiatry & Neurochemistry, The Sahlgrenska Academy, University of Gothenburg Mölndal Sweden
- Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at the University of Gothenburg Mölndal Sweden
- Institute of Neuroscience and Physiology, Sahlgrenska Academy, Centre for Ageing and Health (AGECAP) at the University of Gothenburg Gothenburg Sweden
| | - Tobey J Betthauser
- School of Medicine and Public Health, University of Wisconsin‐Madison Madison WI USA
- Department of Medicine, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
- Wisconsin Alzheimer’s Institute, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
- Alzheimer’s Disease Research Center, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
- Division of Geriatrics and Gerontology, Department of Medicine, University of Wisconsin School of Medicine & Public Health Madison WI USA
| | - Sterling C. Johnson
- University of Wisconsin‐Madison Madison WI USA
- School of Medicine and Public Health, University of Wisconsin‐Madison Madison WI USA
- Department of Medicine, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
- Wisconsin Alzheimer’s Institute, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
- Alzheimer’s Disease Research Center, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
| | - Kimberly D Mueller
- University of Wisconsin‐Madison Madison WI USA
- Department of Communication Sciences and Disorders, University of Wisconsin‐Madison Madison WI USA
- School of Medicine and Public Health, University of Wisconsin‐Madison Madison WI USA
- Wisconsin Alzheimer’s Institute, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
- Alzheimer’s Disease Research Center, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
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Mander BA, Dave A, Lui KK, Sprecher KE, Berisha D, Chappel-Farley MG, Chen IY, Riedner BA, Heston M, Suridjan I, Kollmorgen G, Zetterberg H, Blennow K, Carlsson CM, Okonkwo OC, Asthana S, Johnson SC, Bendlin BB, Benca RM. Inflammation, tau pathology, and synaptic integrity associated with sleep spindles and memory prior to β-amyloid positivity. Sleep 2022; 45:6603598. [PMID: 35670275 PMCID: PMC9758508 DOI: 10.1093/sleep/zsac135] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2021] [Revised: 05/17/2022] [Indexed: 01/25/2023] Open
Abstract
STUDY OBJECTIVES Fast frequency sleep spindles are reduced in aging and Alzheimer's disease (AD), but the mechanisms and functional relevance of these deficits remain unclear. The study objective was to identify AD biomarkers associated with fast sleep spindle deficits in cognitively unimpaired older adults at risk for AD. METHODS Fifty-eight cognitively unimpaired, β-amyloid-negative, older adults (mean ± SD; 61.4 ± 6.3 years, 38 female) enriched with parental history of AD (77.6%) and apolipoprotein E (APOE) ε4 positivity (25.9%) completed the study. Cerebrospinal fluid (CSF) biomarkers of central nervous system inflammation, β-amyloid and tau proteins, and neurodegeneration were combined with polysomnography (PSG) using high-density electroencephalography and assessment of overnight memory retention. Parallelized serial mediation models were used to assess indirect effects of age on fast frequency (13 to <16Hz) sleep spindle measures through these AD biomarkers. RESULTS Glial activation was associated with prefrontal fast frequency sleep spindle expression deficits. While adjusting for sex, APOE ε4 genotype, apnea-hypopnea index, and time between CSF sampling and sleep study, serial mediation models detected indirect effects of age on fast sleep spindle expression through microglial activation markers and then tau phosphorylation and synaptic degeneration markers. Sleep spindle expression at these electrodes was also associated with overnight memory retention in multiple regression models adjusting for covariates. CONCLUSIONS These findings point toward microglia dysfunction as associated with tau phosphorylation, synaptic loss, sleep spindle deficits, and memory impairment even prior to β-amyloid positivity, thus offering a promising candidate therapeutic target to arrest cognitive decline associated with aging and AD.
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Affiliation(s)
- Bryce A Mander
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA.,Center for the Neurobiology of Learning and Memory, University of California, Irvine, CA, USA.,Department of Cognitive Sciences, University of California, Irvine, CA, USA
| | - Abhishek Dave
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA.,Department of Cognitive Sciences, University of California, Irvine, CA, USA
| | - Kitty K Lui
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA.,San Diego State University/University of California San Diego, Joint Doctoral Program in Clinical Psychology, San Diego, CA, USA
| | - Katherine E Sprecher
- Neuroscience Training Program, University of Wisconsin-Madison, Madison, WI, USA.,Department of Medicine, University of Wisconsin-Madison, Madison, WI, USA.,Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, WI, USA
| | - Destiny Berisha
- Department of Neurobiology and Behavior, University of California, Irvine, CA, USA
| | - Miranda G Chappel-Farley
- Center for the Neurobiology of Learning and Memory, University of California, Irvine, CA, USA.,Department of Neurobiology and Behavior, University of California, Irvine, CA, USA
| | - Ivy Y Chen
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA
| | - Brady A Riedner
- Department of Psychiatry, University of Wisconsin-Madison, Madison, WI, USA
| | - Margo Heston
- Department of Medicine, University of Wisconsin-Madison, Madison, WI, USA.,Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, WI, USA
| | | | | | - Henrik Zetterberg
- Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital , Mölndal, Sweden.,Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK.,UK Dementia Research Institute at UCL, London, UK
| | - Kaj Blennow
- Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital , Mölndal, Sweden
| | - Cynthia M Carlsson
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, WI, USA.,Wisconsin Alzheimer's Institute, Madison, WI, USA.,Geriatric Research Education and Clinical Center, Wm. S. Middleton Veterans Hospital, Madison, WI, USA
| | - Ozioma C Okonkwo
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, WI, USA.,Wisconsin Alzheimer's Institute, Madison, WI, USA.,Geriatric Research Education and Clinical Center, Wm. S. Middleton Veterans Hospital, Madison, WI, USA
| | - Sanjay Asthana
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, WI, USA.,Wisconsin Alzheimer's Institute, Madison, WI, USA.,Geriatric Research Education and Clinical Center, Wm. S. Middleton Veterans Hospital, Madison, WI, USA
| | - Sterling C Johnson
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, WI, USA.,Wisconsin Alzheimer's Institute, Madison, WI, USA.,Geriatric Research Education and Clinical Center, Wm. S. Middleton Veterans Hospital, Madison, WI, USA
| | - Barbara B Bendlin
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, WI, USA.,Wisconsin Alzheimer's Institute, Madison, WI, USA.,Geriatric Research Education and Clinical Center, Wm. S. Middleton Veterans Hospital, Madison, WI, USA
| | - Ruth M Benca
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA.,Center for the Neurobiology of Learning and Memory, University of California, Irvine, CA, USA.,Neuroscience Training Program, University of Wisconsin-Madison, Madison, WI, USA.,Department of Neurobiology and Behavior, University of California, Irvine, CA, USA.,Department of Psychiatry, University of Wisconsin-Madison, Madison, WI, USA.,Department of Psychiatry and Behavioral Medicine, Wake Forest University, Winston-Salem, NC, USA
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Gjini K, Casey C, Tanabe S, Bo A, Parker M, White M, Kunkel D, Lennertz R, Pearce RA, Betthauser T, Christian BT, Johnson SC, Bendlin BB, Sanders RD. Greater tau pathology is associated with altered predictive coding. Brain Commun 2022; 4:fcac209. [PMID: 36226138 PMCID: PMC9547525 DOI: 10.1093/braincomms/fcac209] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Revised: 05/04/2022] [Accepted: 08/12/2022] [Indexed: 01/25/2023] Open
Abstract
Altered predictive coding may underlie the reduced auditory mismatch negativity amplitude observed in patients with dementia. We hypothesized that accumulating dementia-associated pathologies, including amyloid and tau, lead to disturbed predictions of our sensory environment. This would manifest as increased reliance on 'observed' sensory information with an associated increase in feedforward, and decrease in feedback, signalling. To test this hypothesis, we studied a cross-sectional cohort of participants who underwent PET imaging and high-density EEG during an oddball paradigm, and used dynamic casual modelling and Bayesian statistics to make inferences about the neuronal architectures (generators) and mechanisms (effective connectivity) underlying the observed auditory-evoked responses. Amyloid-β imaging with [C-11] Pittsburgh Compound-B PET was qualitatively rated using established criteria. Tau-positive PET scans, with [F-18]MK-6240, were defined by an MK-6240 standardized uptake value ratio positivity threshold at 2 standard deviations above the mean of the Amyloid(-) group in the entorhinal cortex (entorhinal MK-6240 standardized uptake value ratio > 1.27). The cross-sectional cohort included a total of 56 participants [9 and 13 participants in the Tau(+) and Amyloid(+) subgroups, respectively: age interquartile range of (73.50-75.34) and (70.5-75.34) years, 56 and 69% females, respectively; 46 and 43 participants in the Tau(-) and Amyloid(-) subgroups, respectively: age interquartile range of (62.72-72.5) and (62.64-72.48) years, 67 and 65% females, respectively]. Mismatch negativity amplitudes were significantly smaller in Tau+ subgroup than Tau- subgroup (cluster statistics corrected for multiple comparisons: P = 0.028). Dynamic causal modelling showed that tau pathology was associated with increased feedforward connectivity and decreased feedback connectivity, with increased excitability of superior temporal gyrus but not inferior frontal regions. This effect on superior temporal gyrus was consistent with the distribution of tau disease on PET in these participants, indicating that the observed differences in mismatch negativity reflect pathological changes evolving in preclinical dementia. Exclusion of participants with diagnosed mild cognitive impairment or dementia did not affect the results. These observational data provide proof of concept that abnormalities in predictive coding may be detected in the preclinical phase of Alzheimer's disease. This framework also provides a construct to understand how progressive impairments lead to loss of orientation to the sensory world in dementia. Based on our modelling results, plus animal models indicating that Alzheimer's disease pathologies produce hyperexcitability of higher cortical regions through local disinhibition, mismatch negativity might be a useful monitor to deploy as strategies that target interneuron dysfunction are developed.
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Affiliation(s)
- Klevest Gjini
- Department of Neurology, University of Wisconsin, Madison, WI, USA
| | - Cameron Casey
- Department of Anesthesiology, University of Wisconsin, Madison, WI, USA
| | - Sean Tanabe
- Department of Anesthesiology, University of Wisconsin, Madison, WI, USA
| | - Amber Bo
- Department of Anesthesiology, University of Wisconsin, Madison, WI, USA
| | - Margaret Parker
- Department of Anesthesiology, University of Wisconsin, Madison, WI, USA
| | - Marissa White
- Department of Anesthesiology, University of Wisconsin, Madison, WI, USA
| | - David Kunkel
- Department of Anesthesiology, University of Wisconsin, Madison, WI, USA
| | - Richard Lennertz
- Department of Anesthesiology, University of Wisconsin, Madison, WI, USA
| | - Robert A Pearce
- Department of Anesthesiology, University of Wisconsin, Madison, WI, USA
| | - Tobey Betthauser
- Department of Medicine, University of Wisconsin, Madison, WI, USA
| | | | | | | | - Robert D Sanders
- Specialty of Anaesthetics, University of Sydney, Camperdown, Australia
- Department of Anaesthetics, Royal Prince Alfred Hospital, Camperdown, Australia
- Central Clinical School & NHMRC Clinical Trials Centre, Institute of Academic Surgery, Camperdown, Australia
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49
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Nair AK, Van Hulle CA, Bendlin BB, Zetterberg H, Blennow K, Wild N, Kollmorgen G, Suridjan I, Busse WW, Rosenkranz MA. Asthma amplifies dementia risk: Evidence from CSF biomarkers and cognitive decline. Alzheimers Dement (N Y) 2022; 8:e12315. [PMID: 35846157 PMCID: PMC9270636 DOI: 10.1002/trc2.12315] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [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] [Received: 02/03/2022] [Revised: 04/28/2022] [Accepted: 05/09/2022] [Indexed: 11/09/2022]
Abstract
Introduction Evidence from epidemiology, neuroimaging, and animal models indicates that asthma adversely affects the brain, but the nature and extent of neuropathophysiological impact remain unclear. Methods We tested the hypothesis that asthma is a risk factor for dementia by comparing cognitive performance and cerebrospinal fluid biomarkers of glial activation/neuroinflammation, neurodegeneration, and Alzheimer's disease (AD) pathology in 60 participants with asthma to 315 non-asthma age-matched control participants (45-93 years), in a sample enriched for AD risk. Results Participants with severe asthma had higher neurogranin concentrations compared to controls and those with mild asthma. Positive relationships between cardiovascular risk and concentrations of neurogranin and α-synuclein were amplified in severe asthma. Severe asthma also amplified the deleterious associations that apolipoprotein E ε4 carrier status, cardiovascular risk, and phosphorylated tau181/amyloid beta42 have with rate of cognitive decline. Discussion Our data suggest that severe asthma is associated with synaptic degeneration and may compound risk for dementia posed by cardiovascular disease and genetic predisposition. Highlights Those with severe asthma showed evidence of higher dementia risk than controls evidenced by: higher levels of the synaptic degeneration biomarker neurogranin regardless of cognitive status, cardiovascular or genetic risk, and controlling for demographics.steeper increase in levels of synaptic degeneration biomarkers neurogranin and α-synuclein with increasing cardiovascular risk.accelerated cognitive decline with higher cardiovascular risk, genetic predisposition, or pathological tau.
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Affiliation(s)
- Ajay Kumar Nair
- Center for Healthy MindsUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Carol A. Van Hulle
- Wisconsin Alzheimer's Disease Research CenterSchool of Medicine and Public HealthUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
- Department of MedicineSchool of Medicine and Public HealthUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Barbara B. Bendlin
- Wisconsin Alzheimer's Disease Research CenterSchool of Medicine and Public HealthUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
- Department of MedicineSchool of Medicine and Public HealthUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
- Wisconsin Alzheimer's InstituteSchool of Medicine and Public HealthUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Henrik Zetterberg
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologyThe Sahlgrenska Academy at The University of GothenburgMölndalSweden
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalMölndalSweden
- Department of Neurodegenerative DiseaseUCL Institute of NeurologyLondonUK
- UK Dementia Research Institute at UCLLondonUK
- Hong Kong Center for Neurodegenerative DiseasesHong KongPeople's Republic of China
| | - Kaj Blennow
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologyThe Sahlgrenska Academy at The University of GothenburgMölndalSweden
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalMölndalSweden
| | | | | | | | - William W. Busse
- Department of MedicineSchool of Medicine and Public HealthUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Melissa A. Rosenkranz
- Center for Healthy MindsUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
- Department of PsychiatryUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
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50
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Powell WR, Zuelsdorff M, Keller SA, Betthauser TJ, Rissman RA, Bendlin BB, Kind AJH. Association of Neighborhood-Level Disadvantage With Neurofibrillary Tangles on Neuropathological Tissue Assessment. JAMA Netw Open 2022; 5:e228966. [PMID: 35482313 PMCID: PMC9051985 DOI: 10.1001/jamanetworkopen.2022.8966] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
This cross-sectional study evaluates income, educational level, employment status, and neighborhood and their association with brain changes in decedents with Alzheimer disease and related dementias.
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Affiliation(s)
- W. Ryan Powell
- Center for Health Disparities Research, University of Wisconsin School of Medicine and Public Health, Madison
| | - Megan Zuelsdorff
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison
- University of Wisconsin School of Nursing, Madison
| | - Sarah A. Keller
- Center for Health Disparities Research, University of Wisconsin School of Medicine and Public Health, Madison
| | - Tobey J. Betthauser
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison
- Department of Medicine, Geriatrics Division, University of Wisconsin School of Medicine and Public Health, Madison
| | - Robert A. Rissman
- Department of Neurosciences, University of California, San Diego
- Shiley-Marcos Alzheimer's Disease Research Center, University of California, San Diego, La Jolla
| | - Barbara B. Bendlin
- Center for Health Disparities Research, University of Wisconsin School of Medicine and Public Health, Madison
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison
- Department of Medicine, Geriatrics Division, University of Wisconsin School of Medicine and Public Health, Madison
- Wisconsin Alzheimer’s Institute, University of Wisconsin School of Medicine and Public Health, Madison
- Geriatric Research Education and Clinical Center, William S. Middleton Hospital, Department of Veterans Affairs, Madison, Wisconsin
| | - Amy J. H. Kind
- Center for Health Disparities Research, University of Wisconsin School of Medicine and Public Health, Madison
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison
- Department of Medicine, Geriatrics Division, University of Wisconsin School of Medicine and Public Health, Madison
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