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Willette AA. Mind the heart: Cardiovascular health and infection burden on brain outcomes. Brain Behav Immun 2024; 115:248-249. [PMID: 37838077 DOI: 10.1016/j.bbi.2023.10.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Accepted: 10/08/2023] [Indexed: 10/16/2023] Open
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Larsen BA, Klinedinst BS, Wolf T, McLimans KE, Wang Q, Pollpeter A, Li T, Mohammadiarvejeh P, Fili M, Grundy JG, Willette AA. Adiposity and insulin resistance moderate the links between neuroelectrophysiology and working and episodic memory functions in young adult males but not females. Physiol Behav 2023; 271:114321. [PMID: 37567373 PMCID: PMC10592072 DOI: 10.1016/j.physbeh.2023.114321] [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: 05/19/2023] [Revised: 07/26/2023] [Accepted: 08/08/2023] [Indexed: 08/13/2023]
Abstract
INTRODUCTION Obesity and insulin resistance negatively influence neural activity and cognitive function, but electrophysiological mechanisms underlying these interrelationships remain unclear. This study investigated whether adiposity and insulin resistance moderated neural activity and underlying cognitive functions in young adults. METHODS Real-time electroencephalography (EEG) was recorded in 38 lean (n = 12) and obese (n = 26) young adults with (n = 15) and without (n = 23) insulin resistance (18-38 years, 55.3% female) as participants completed three neurocognitive tasks in working memory (Operation Span), inhibitory control (Stroop), and episodic memory (Visual Association Test). Body fat percentage was quantified by a dual-energy X-ray absorptiometry scan (DEXA/DXA). Fasting serum insulin and glucose were quantified to calculate Homeostatic Model Assessment for Insulin Resistance (HOMA-IR) values, for which a higher value indicates more insulin resistance. Hierarchical moderated regression analysis tested these interrelationships. RESULTS In males, greater frontal negative slow wave (fNSW) and positive slow wave (PSW) amplitudes were linked to higher working memory accuracy in participants with low, but not high, body fat percentage and HOMA-IR levels. In contrast, body fat percentage and HOMA-IR did not moderate these associations in females. Furthermore, body fat percentage and HOMA-IR values moderated the relationship between greater fNSW amplitudes and better episodic memory accuracy in males, but not females. Finally, body fat percentage and insulin resistance did not moderate the link between neural activity and inhibitory control for either sex. CONCLUSION Young adult males, but not females, with higher body adiposity and insulin resistance showed reduced neural activity and worse underlying working and episodic memory functions.
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Affiliation(s)
- Brittany A Larsen
- Department of Behavioral Science, MD Anderson Cancer Center, 1515 Holcombe Blvd., Houston, TX 77030, United States of America
| | - Brandon S Klinedinst
- Department of Medicine, University of Washington, RR-512, Health Sciences Building, Box 356420, 1959 NE Pacific St., Seattle, Washington, 98195, United States of America
| | - Tovah Wolf
- Lifecare Alliance, 1699 W Mound St., Columbus, Ohio, 43223, United States of America
| | - Kelsey E McLimans
- Nutrition and Dietetics Department, Viterbo University, 900 Viterbo Dr., La Crosse, Wisconsin, 54601, United States of America
| | - Qian Wang
- Department of Food Science and Human Nutrition, College of Human Sciences, Iowa State University, 2312 Food Sciences Building, 536 Farm House Ln., Ames, Iowa, 50011, United States of America
| | - Amy Pollpeter
- Bioinformatics and Computational Biology Graduate Program, Department of Biomedical Sciences, College of Veterinary Medicine, Iowa State University, 1800 Christensen Dr., Ames, Iowa, 50011, United States of America
| | - Tianqi Li
- Genetics and Genomics Graduate Program, Department of Food Science and Human Nutrition, College of Human Sciences, Iowa State University, 2312 Food Sciences Building, 536 Farm House Ln., Ames, Iowa, 50011, United States of America
| | - Parvin Mohammadiarvejeh
- Department of Industrial and Manufacturing Systems Engineering, College of Engineering, Iowa State University, 3004 Black Engineering, 2529 Union Dr., Ames, Iowa, 50011, United States of America
| | - Mohammad Fili
- Department of Industrial and Manufacturing Systems Engineering, College of Engineering, Iowa State University, 3004 Black Engineering, 2529 Union Dr., Ames, Iowa, 50011, United States of America
| | - John G Grundy
- Department of Psychology, College of Liberal Arts and Sciences, Iowa State University, 901 Stange Rd., Ames, Iowa, 50011, United States of America
| | - Auriel A Willette
- Department of Food Science and Human Nutrition, College of Human Sciences, Iowa State University, 2312 Food Sciences Building, 536 Farm House Ln., Ames, Iowa, 50011, United States of America; Department of Psychology, College of Liberal Arts and Sciences, Iowa State University, 901 Stange Rd., Ames, Iowa, 50011, United States of America; Department of Neurology, Roy J. and Lucille A. Carver College of Medicine, University of Iowa, 200 Hawkins Dr., 2007 Roy Carver Pavilion, Iowa City, Iowa, 52242, United States of America.
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Klinedinst BS, Kharate MK, Mohammadiarvejeh P, Fili M, Pollpeter A, Larsen BA, Moody S, Wang Q, Allenspach K, Mochel JP, Willette AA. Exploring the secrets of super-aging: a UK Biobank study on brain health and cognitive function. GeroScience 2023; 45:2471-2480. [PMID: 36947307 PMCID: PMC10651574 DOI: 10.1007/s11357-023-00765-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Accepted: 02/27/2023] [Indexed: 03/23/2023] Open
Abstract
Communities across the globe are faced with a rapidly aging society, where age is the main risk factor for cognitive decline and development of Alzheimer's and related diseases. Despite extensive research, there have been no successful treatments yet. A rare group of individuals called "super-agers" have been noted to thrive with their exceptional ability to maintain a healthy brain and normal cognitive function even in old age. Studying their traits, lifestyles, and environments may provide valuable insight. This study used a data-driven approach to identify potential super-agers among 7121 UK Biobank participants and found that these individuals have the highest total brain volume, best cognitive performance, and lowest functional connectivity. The researchers suggest a novel hypothesis that these super-agers possess enhanced neural processing efficiency that increases with age and introduce a definition of the "neural efficiency index." Furthermore, several other types of aging were identified and significant structural-functional differences were observed between them, highlighting the benefit of research efforts in personalized medicine and precision nutrition.
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Affiliation(s)
- Brandon S Klinedinst
- Department of Medicine, University of Washington, Box 359, 325 9th Avenue, WA, 98104, Seattle, USA.
| | - Mihir K Kharate
- Department of Veterinary Clinical Sciences, Iowa State University, Ames, IA, USA
| | - Parvin Mohammadiarvejeh
- Department of Industrial and Manufacturing Systems Engineering, Iowa State University, Ames, IA, USA
| | - Mohammad Fili
- Department of Industrial and Manufacturing Systems Engineering, Iowa State University, Ames, IA, USA
| | - Amy Pollpeter
- Interdepartmental Bioinformatics and Computational Program, Iowa State University, Ames, IA, USA
- Department of Food Science and Human Nutrition, Iowa State University, Ames, IA, USA
| | - Brittany A Larsen
- Neuroscience Graduate Program, Iowa State University, Ames, IA, USA
- Department of Biomedical Sciences, Iowa State University, Ames, IA, USA
| | - Shannin Moody
- Health Sciences Center, Louisiana State University, New Orleans, LA, USA
| | - Qian Wang
- Department of Food Science and Human Nutrition, Iowa State University, Ames, IA, USA
| | - Karin Allenspach
- Department of Veterinary Clinical Sciences, Iowa State University, Ames, IA, USA
| | - Jonathan P Mochel
- Department of Biomedical Sciences, Iowa State University, Ames, IA, USA
| | - Auriel A Willette
- Department of Veterinary Clinical Sciences, Iowa State University, Ames, IA, USA
- Department of Food Science and Human Nutrition, Iowa State University, Ames, IA, USA
- Neuroscience Graduate Program, Iowa State University, Ames, IA, USA
- Department of Neurology, University of Iowa, Iowa City, IA, USA
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Li T, Willette AA, Wang Q, Pollpeter A, Larsen BA, Mohammadiarvejeh P, Fili M. Alzheimer's Disease Genetic Influences Impact the Associations between Diet and Resting-State Functional Connectivity: A Study from the UK Biobank. Nutrients 2023; 15:3390. [PMID: 37571327 PMCID: PMC10420831 DOI: 10.3390/nu15153390] [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: 06/30/2023] [Revised: 07/26/2023] [Accepted: 07/27/2023] [Indexed: 08/13/2023] Open
Abstract
BACKGROUND Red wine and dairy products have been staples in human diets for a long period. However, the impact of red wine and dairy intake on brain network activity remains ambiguous and requires further investigation. METHODS This study investigated the associations between dairy and red wine consumption and seven neural networks' connectivity with functional magnetic resonance imaging (fMRI) data from a sub-cohort of the UK Biobank database. Linear mixed models were employed to regress dairy and red wine consumption against the intrinsic functional connectivity for each neural network. Interactions with Alzheimer's disease (AD) risk factors, including apolipoprotein E4 (APOE4) genotype, TOMM40 genotype, and family history of AD, were also assessed. RESULT More red wine consumption was associated with enhanced connectivity in the central executive function network and posterior default mode network. Greater milk intake was correlated with more left executive function network connectivity, while higher cheese consumption was linked to reduced posterior default mode network connectivity. For participants without a family history of Alzheimer's disease (AD), increased red wine consumption was positively correlated with enhanced left executive function network connectivity. In contrast, participants with a family history of AD displayed diminished network connectivity in relation to their red wine consumption. The association between cheese consumption and neural network connectivity was influenced by APOE4 status, TOMM40 status, and family history, exhibiting contrasting patterns across different subgroups. CONCLUSION The findings of this study indicate that family history modifies the relationship between red wine consumption and network strength. The interaction effects between cheese intake and network connectivity may vary depending on the presence of different genetic factors.
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Affiliation(s)
- Tianqi Li
- Genetics and Genomics Interdepartmental Graduate Program, Iowa State University, 1109 HNSB, 2302 Osborn Drive Ames, Ames, IA 50011, USA
| | - Auriel A. Willette
- Department of Neurology, Roy J. and Lucille A. Carver College of Medicine, University of Iowa, Iowa City, IA 52242, USA;
| | - Qian Wang
- Department of Food Science and Human Nutrition, College of Human Sciences, Iowa State University, Ames, IA 50011, USA;
| | - Amy Pollpeter
- Bioinformatics and Computational Biology Graduate Program, Department of Biomedical Sciences, College of Veterinary Medicine, Iowa State University, Ames, IA 50011, USA;
| | - Brittany A. Larsen
- Neuroscience Graduate Program, Department of Biomedical Sciences, College of Veterinary Medicine, Iowa State University, Ames, IA 50011, USA;
| | - Parvin Mohammadiarvejeh
- Department of Industrial and Manufacturing Systems Engineering, College of Engineering, Iowa State University, Ames, IA 50011, USA; (P.M.); (M.F.)
| | - Mohammad Fili
- Department of Industrial and Manufacturing Systems Engineering, College of Engineering, Iowa State University, Ames, IA 50011, USA; (P.M.); (M.F.)
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Li T, Pappas C, Klinedinst B, Pollpeter A, Larsen B, Hoth N, Anton F, Wang Q, Willette AA. Associations Between Insulin-Like Growth Factor-1 and Resting-State Functional Connectivity in Cognitively Unimpaired Midlife Adults. J Alzheimers Dis 2023; 94:S309-S318. [PMID: 36710671 PMCID: PMC10473072 DOI: 10.3233/jad-220608] [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] [Accepted: 12/19/2022] [Indexed: 01/25/2023]
Abstract
BACKGROUND Insulin-like growth factor (IGF)-1 plays an important role in Alzheimer's disease (AD) pathogenesis and increases disease risk. However, prior research examining IGF-1 levels and brain neural network activity is mixed. OBJECTIVE The present study investigated the relationship between IGF-1 levels and 21 neural networks, as measured by functional magnetic resonance imaging (fMRI) in 13,235 UK Biobank participants. METHODS Linear mixed models were used to regress IGF-1 against the intrinsic functional connectivity (i.e., degree of network activity) for each neural network. Interactions between IGF-1 and AD risk factors such as Apolipoprotein E4 (APOE4) genotype, sex, AD family history, and age were also tested. RESULTS Higher IGF-1 was associated with more network activity in the right Executive Function neural network. IGF-1 interactions with APOE4 or sex implicated motor, primary/extrastriate visual, and executive function related neural networks. Neural network activity trends with increasing IGF-1 were different in different age groups. Higher IGF-1 levels relate to much more network activity in the Sensorimotor Network and Cerebellum Network in early-life participants (40-52 years old), compared with mid-life (52-59 years old) and late-life (59-70 years old) participants. CONCLUSION These findings suggest that sex and APOE4 genotype may modify the relationship between IGF-1 and brain network activities related to visual, motor, and cognitive processing. Additionally, IGF-1 may have an age-dependent effect on neural network connectivity.
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Affiliation(s)
- Tianqi Li
- Department of Food Science and Human Nutrition, Iowa State University, Ames, IA, USA
- Genetics and Genomics Interdepartmental Graduate Program, Iowa State University, Ames, IA, USA
| | - Colleen Pappas
- Department of Food Science and Human Nutrition, Iowa State University, Ames, IA, USA
| | - Brandon Klinedinst
- Department of Food Science and Human Nutrition, Iowa State University, Ames, IA, USA
- Neuroscience Interdepartmental Graduate Program Interdepartmental Graduate Program, Iowa State University, Ames, IA, USA
| | - Amy Pollpeter
- Department of Food Science and Human Nutrition, Iowa State University, Ames, IA, USA
- Bioinformatics and Computational Biology Interdepartmental Graduate Program, Iowa State University, Ames, IA, USA
| | - Brittany Larsen
- Department of Food Science and Human Nutrition, Iowa State University, Ames, IA, USA
- Neuroscience Interdepartmental Graduate Program Interdepartmental Graduate Program, Iowa State University, Ames, IA, USA
| | - Nathan Hoth
- Department of Food Science and Human Nutrition, Iowa State University, Ames, IA, USA
| | - Faith Anton
- Department of Food Science and Human Nutrition, Iowa State University, Ames, IA, USA
| | - Qian Wang
- Department of Food Science and Human Nutrition, Iowa State University, Ames, IA, USA
| | - Auriel A. Willette
- Department of Food Science and Human Nutrition, Iowa State University, Ames, IA, USA
- Genetics and Genomics Interdepartmental Graduate Program, Iowa State University, Ames, IA, USA
- Neuroscience Interdepartmental Graduate Program Interdepartmental Graduate Program, Iowa State University, Ames, IA, USA
- Bioinformatics and Computational Biology Interdepartmental Graduate Program, Iowa State University, Ames, IA, USA
- Department of Neurology, University of Iowa, Iowa City, IA, USA
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Lutz MW, Khachaturian AS, Zetterberg H, Blennow K, Willette AA, Mielke MM, Hayden KM, Dodge HH, Tang Y, Greenberg BD, Kukull WA, Khachaturian ZS. Biomarkers of Alzheimer syndrome and related dementias: A&D author's guide. Alzheimers Dement 2022; 18:1595-1601. [PMID: 36005812 PMCID: PMC9514317 DOI: 10.1002/alz.12772] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Indexed: 01/24/2023]
Affiliation(s)
- Michael W. Lutz
- Department of NeurologyDuke University School of MedicineDurhamNCUSA
| | - Ara S. Khachaturian
- Alzheimer's & Dementia: The Journal of the Alzheimer's AssociationRockvilleMDUSA
| | - Henrik Zetterberg
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologyThe Sahlgrenska Academy at the University of GothenburgMölndalSweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University HospitalMölndalSweden
- Department of Neurodegenerative DiseaseUCL Institute of Neurology, Queen SquareLondonUK
- UK Dementia Research Institute at UCLLondonUK
- Hong Kong Center for Neurodegenerative Diseases, Clear Water BayHong KongChina
| | - Kaj Blennow
- Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of GothenburgGothenburgSweden
| | - Auriel A. Willette
- Department of Food Science and Human NutritionIowa State UniversityAmesIAUSA
- IAC Tracker Inc.AmesIAUSA
| | - Michelle M. Mielke
- Department of Epidemiology and PreventionWake Forest University School of MedicineWinston‐SalemNCUSA
| | - Kathleen M. Hayden
- Department of Social Sciences and Health PolicyDivision of Public Health SciencesWake Forest University School of Medicine, Winston‐SalemNCUSA
| | - Hiroko H. Dodge
- Department of NeurologyLayton Aging and Alzheimer's Disease CenterOregon Health & Science UniversityPortlandORUSA
| | - Yi Tang
- Department of Neurology, Innovation Center for Neurological DisordersXuanwu Hospital, Capital Medical UniversityNational Center for Neurological DisordersBeijingChina
| | - Barry D. Greenberg
- Department of Neurology, Director, Alzheimer's Disease Translational CenterJohns Hopkins University School of MedicineBaltimoreMDUSA
- Alzheimer's & Dementia: Translational Research and Clinical InterventionsBaltimoreMDUSA
| | - Walter A Kukull
- Department of EpidemiologyUniversity of WashingtonSeattleWAUSA
| | - Zaven S Khachaturian
- Alzheimer's & Dementia: The Journal of the Alzheimer's AssociationRockvilleMDUSA
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Gordon MN, Heneka MT, Le Page LM, Limberger C, Morgan D, Tenner AJ, Terrando N, Willette AA, Willette SA. Impact of COVID-19 on the Onset and Progression of Alzheimer's Disease and Related Dementias: A Roadmap for Future Research. Alzheimers Dement 2022; 18:1038-1046. [PMID: 34874605 PMCID: PMC9011667 DOI: 10.1002/alz.12488] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Accepted: 07/29/2021] [Indexed: 12/12/2022]
Abstract
COVID-19 causes lasting neurological symptoms in some survivors. Like other infections, COVID-19 may increase risk of cognitive impairment. This perspective highlights four knowledge gaps about COVID-19 that need to be filled to avoid this possible health issue. The first is the need to identify the COVID-19 symptoms, genetic polymorphisms and treatment decisions associated with risk of cognitive impairment. The second is the absence of model systems in which to test hypotheses relating infection to cognition. The third is the need for consortia for studying both existing and new longitudinal cohorts in which to monitor long term consequences of COVID-19 infection. A final knowledge gap discussed is the impact of the isolation and lack of social services brought about by quarantine/lockdowns on people living with dementia and their caregivers. Research into these areas may lead to interventions that reduce the overall risk of cognitive decline for COVID-19 survivors.
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Affiliation(s)
- Marcia N. Gordon
- Dept of Translational NeuroscienceMichigan State University400 Monroe Ave NWGrand RapidsMI49503USA
| | - Michael T. Heneka
- Dept. of Neurodegenerative Disease and Geriatric Psychiatry/NeurologyUniversity of Bonn Medical CenterSigmund‐Freud Str. 25, 53127 BonnGermany
| | - Lydia M. Le Page
- Departments of Physical Therapy and Rehabilitation Science, and Radiology and Biomedical ImagingUniversity of CaliforniaSan FranciscoUSA
| | - Christian Limberger
- Graduate Program in Biological Sciences: BiochemistryUniversidade Federal do Rio Grande do SulPorto AlegreRSBrazil
| | - David Morgan
- Dept of Translational NeuroscienceMichigan State University400 Monroe Ave NWGrand RapidsMI49503USA
| | - Andrea J. Tenner
- Molecular Biology and Biochemistry, Neurobiology and Behavior and Pathology and Laboratory MedicineUniversity of CaliforniaIrvineUSA
| | - Niccolò Terrando
- Department of Anesthesiology, Cell Biology, and ImmunologyDuke University Medical CenterDurhamNC27710USA
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Larsen BA, Klinedinst BS, Le ST, Pappas C, Wolf T, Meier NF, Lim Y, Willette AA. Beer, wine, and spirits differentially influence body composition in older White adults ‐ a UK Biobank study. Obes Sci Pract 2022; 8:641-656. [PMID: 36238230 PMCID: PMC9535674 DOI: 10.1002/osp4.598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Revised: 01/30/2022] [Accepted: 02/01/2022] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Aging is characterized by body composition alterations, including increased visceral adiposity accumulation and bone loss. Alcohol consumption may partially drive these alterations, but findings are mixed. This study primarily aimed to investigate whether different alcohol types (beer/cider, red wine, white wine/Champagne, spirits) differentially associated with body composition. METHODS The longitudinal UK Biobank study leveraged 1869 White participants (40–80 years; 59% male). Participants self‐reported demographic, alcohol/dietary consumption, and lifestyle factors using a touchscreen questionnaire. Anthropometrics and serum for proteomics were collected. Body composition was obtained via dual‐energy X‐ray absorptiometry. Structural equation modeling was used to probe direct/indirect associations between alcohol types, cardiometabolic biomarkers, and body composition. RESULTS Greater beer/spirit consumptions were associated with greater visceral adiposity (β = 0.069, p < 0.001 and β = 0.014, p < 0.001, respectively), which was driven by dyslipidemia and insulin resistance. In contrast, drinking more red wine was associated with less visceral adipose mass (β = −0.023, p < 0.001), which was driven by reduced inflammation and elevated high‐density lipoproteins. White wine consumption predicted greater bone density (β = 0.051, p < 0.005). DISCUSSION Beer/spirits may partially contribute to the “empty calorie” hypothesis related to adipogenesis, while red wine may help protect against adipogenesis due to anti‐inflammatory/eulipidemic effects. Furthermore, white wine may benefit bone health in older White adults.1
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Affiliation(s)
- Brittany A. Larsen
- Neuroscience Graduate Program Iowa State University Ames Iowa USA
- Department of Biomedical Sciences College of Veterinary Medicine Iowa State University Ames Iowa USA
| | - Brandon S. Klinedinst
- Neuroscience Graduate Program Iowa State University Ames Iowa USA
- Department of Food Science and Human Nutrition Iowa State University Ames Iowa USA
| | - Scott T. Le
- Department of Food Science and Human Nutrition Iowa State University Ames Iowa USA
| | - Colleen Pappas
- Department of Food Science and Human Nutrition Iowa State University Ames Iowa USA
| | - Tovah Wolf
- Department of Health Sciences Western Carolina University Cullowhee North Carolina USA
| | - Nathan F. Meier
- Department of Kinesiology Concordia University Irvine California USA
| | - Ye‐Lim Lim
- Department of Psychology Virginia Polytechnic Institute Blacksburg Virginia USA
| | - Auriel A. Willette
- Neuroscience Graduate Program Iowa State University Ames Iowa USA
- Department of Biomedical Sciences College of Veterinary Medicine Iowa State University Ames Iowa USA
- Department of Food Science and Human Nutrition Iowa State University Ames Iowa USA
- Department of Neurology University of Iowa Iowa City Iowa USA
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Klinedinst BS, Kharate M, Willette AA. Food Dietary Choices Predict Brain Volume and Neurovascular Lesion Load 10 Years Later. Alzheimers Dement 2022. [PMID: 34971148 DOI: 10.1002/alz.058424] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
BACKGROUND The population age structure in the U.S. is advancing, as to is the prevalence of Alzheimer's disease and related dementias despite life expectancy stagnating in recent years. Decline in neural parameters like brain volume and lesion density are expected with advanced age, but rate and severity of loss and function vary widely. Here, we examined how 149 variables representing the total diet could predict or explain variation in total brain volume and lesion density. METHODS Among 10,938 adults aged 45 to 80 from the UK Biobank, food choices for 149 items were measured using the 24-hour Dietary Recall questionnaire and collected up to 5 times over the course of a year. Our outcomes of interest were total brain volume and white matter hyperintensity load, which were derived from a structural Magnetic Resonance Imaging scan conducted 10 years after baseline. Structural equation models of correlated outcomes, using a Backwards selection method (p<.05), were used to identify the most significant food choice predictors. RESULTS Over a period of 10 years, more total brain volume was related to consuming more calories in general, water, various coffee preparations, and teas, hard cheeses, whole grain products, pomme fruits like apples and pears, and to some degree various desserts. Conversely, less total brain volume was seen with consuming more red and rose wine, certain vegetables and mushrooms, potatoes, crackers, and beef. For white matter hyperintensities, less lesion load was seen with consuming more mangoes, apiaceae vegetables like carrots and celery, allium vegetables like onions and leeks, spinach, sweet potatoes, and cow's milk of any fat percentage. Conversely, greater lesion load was seen with consuming refined chocolates, processed meats and shellfish, fried potatoes, beets, eggs, mushrooms, and vitamin B6 or calcium supplements. CONCLUSION Maintaining brain health was generally related to consuming more water, fruits and vegetables, complex vs. simple carbohydrates, certain sweets, and dairy products while avoiding processed meats, eggs, and mushrooms. Future work will elucidate how whole food choices are related to functional brain imaging outcomes.
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Willette AA, Pappas C, Hoth N, Wang Q, Klinedinst B, Willette SA, Larsen B, Pollpeter A, Li T, Le S, Collazo-Martinez AD, Mochel JP, Allenspach K, Dantzer R. Inflammation, negative affect, and amyloid burden in Alzheimer's disease: Insights from the kynurenine pathway. Brain Behav Immun 2021; 95:216-225. [PMID: 33775832 PMCID: PMC8187283 DOI: 10.1016/j.bbi.2021.03.019] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Revised: 03/17/2021] [Accepted: 03/22/2021] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Depressive symptoms in Alzheimer's disease (AD) predict worse cognitive and functional outcomes. Both AD and major depression inflammatory processes are characterized by shunted tryptophan metabolism away from serotonin (5-HT) and toward the neuroinflammatory kynurenine (Kyn) pathway. The present study assessed associations between Kyn and behavioral, neuroanatomical, neuropathological, and physiological outcomes common to both AD and negative affect across the AD continuum. METHODS In 58 cognitively normal, 396 mild cognitive impairment, and 112 AD participants from the Alzheimer's Disease Neuroimaging Initiative-1 (ADNI1) cohort, serum markers of 5-HT, tryptophan, and Kyn were measured and their relationships investigated with immunologic markers, affect and functional outcomes, CSF markers of beta-amyloid (Aβ) and tau, and regional gray matter. RESULTS A higher Kyn/Tryptophan ratio was linked to many inflammatory markers, as well as lower functional independence and memory scores. A higher Kyn/5-HT ratio showed similar associations, but also strong relationships with negative affect and neuropsychiatric disturbance, executive dysfunction, and global cognitive decline. Further, gray matter atrophy was seen in hippocampus, anterior cingulate, and prefrontal cortices, as well as greater amyloid and total tau deposition. Finally, using moderated-mediation, several pro-inflammatory factors partially mediated Kyn/5-HT and negative affect scores in participants with subclinical Aβ (i.e., Aβ-), whereas such associations were fully mediated by Complement 3 in Aβ+ participants. CONCLUSION These findings suggest that inflammatory signaling cascades may occur during AD, which is associated with increased Kyn metabolism that influences the pathogenesis of negative affect. Aβ and the complement system may be critical contributing factors in this process.
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Affiliation(s)
- Auriel A. Willette
- Department of Food Science and Human Nutrition, Iowa State University, Ames, IA,Neuroscience Graduate Program, Iowa State University, Ames, IA,Department of Psychology, Iowa State University, Ames, IA,Department of Neurology, University of Iowa, Iowa City, IA,Bioinformatics and Computational Biology Graduate Program, Iowa State University, Ames, IA,Department of Biomedical Sciences, Iowa State University, Ames, IA, USA,Address Correspondence to: Auriel A. Willette, Ph.D., M.S., 1109 HNSB, 706 Morrill Rd., Ames, IA 50011, Phone: (515) 294-3110,
| | - Colleen Pappas
- Department of Food Science and Human Nutrition, Iowa State University, Ames, IA
| | - Nathan Hoth
- Department of Food Science and Human Nutrition, Iowa State University, Ames, IA
| | - Qian Wang
- Department of Food Science and Human Nutrition, Iowa State University, Ames, IA
| | | | - Sara A. Willette
- Department of Food Science and Human Nutrition, Iowa State University, Ames, IA
| | - Brittany Larsen
- Neuroscience Graduate Program, Iowa State University, Ames, IA
| | - Amy Pollpeter
- Bioinformatics and Computational Biology Graduate Program, Iowa State University, Ames, IA
| | - Tianqi Li
- Bioinformatics and Computational Biology Graduate Program, Iowa State University, Ames, IA
| | - Scott Le
- Department of Food Science and Human Nutrition, Iowa State University, Ames, IA
| | | | | | - Karin Allenspach
- Department of Veterinary Clinical Sciences, Iowa State University, Ames, IA, USA
| | - Robert Dantzer
- Department of Symptom Research, The University of Texas MD Anderson Cancer Center, Houston,TX
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11
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Willette AA, Willette SA, Wang Q, Pappas C, Klinedinst BS, Le S, Larsen B, Pollpeter A, Li T, Brenner N, Waterboer T. Using machine learning to predict COVID-19 infection and severity risk among 4,510 aged adults: a UK Biobank cohort study. medRxiv 2021:2020.06.09.20127092. [PMID: 32577673 PMCID: PMC7302228 DOI: 10.1101/2020.06.09.20127092] [Citation(s) in RCA: 3] [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] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
BACKGROUND Many risk factors have emerged for novel 2019 coronavirus disease (COVID-19). It is relatively unknown how these factors collectively predict COVID-19 infection risk, as well as risk for a severe infection (i.e., hospitalization). METHODS Among aged adults (69.3 ± 8.6 years) in UK Biobank, COVID-19 data was downloaded for 4,510 participants with 7,539 test cases. We downloaded baseline data from 10-14 years ago, including demographics, biochemistry, body mass, and other factors, as well as antibody titers for 20 common to rare infectious diseases. Permutation-based linear discriminant analysis was used to predict COVID-19 risk and hospitalization risk. Probability and threshold metrics included receiver operating characteristic curves to derive area under the curve (AUC), specificity, sensitivity, and quadratic mean. RESULTS The "best-fit" model for predicting COVID-19 risk achieved excellent discrimination (AUC=0.969, 95% CI=0.934-1.000). Factors included age, immune markers, lipids, and serology titers to common pathogens like human cytomegalovirus. The hospitalization "best-fit" model was more modest (AUC=0.803, 95% CI=0.663-0.943) and included only serology titers. CONCLUSIONS Accurate risk profiles can be created using standard self-report and biomedical data collected in public health and medical settings. It is also worthwhile to further investigate if prior host immunity predicts current host immunity to COVID-19.
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Affiliation(s)
- Auriel A. Willette
- Department of Food Science and Human Nutrition, Iowa State University, Ames, IA, USA
- Department of Neurology, University of Iowa, Iowa City, IA, USA
- Iowa COVID-19 Tracker, Ames, IA, USA
| | | | - Qian Wang
- Department of Food Science and Human Nutrition, Iowa State University, Ames, IA, USA
| | - Colleen Pappas
- Department of Food Science and Human Nutrition, Iowa State University, Ames, IA, USA
| | - Brandon S. Klinedinst
- Department of Food Science and Human Nutrition, Iowa State University, Ames, IA, USA
| | - Scott Le
- Department of Food Science and Human Nutrition, Iowa State University, Ames, IA, USA
| | - Brittany Larsen
- Department of Food Science and Human Nutrition, Iowa State University, Ames, IA, USA
| | - Amy Pollpeter
- Department of Food Science and Human Nutrition, Iowa State University, Ames, IA, USA
| | - Tianqi Li
- Department of Food Science and Human Nutrition, Iowa State University, Ames, IA, USA
| | - Nicole Brenner
- Infections and Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Tim Waterboer
- Infections and Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
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12
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Klinedinst BS, Obhi HK, Pappas C, Shirtcliff E, Willette AA. Die Young as Late as Possible Project: Trajectory analysis of cognitive aging. Alzheimers Dement 2020. [DOI: 10.1002/alz.044291] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
| | - Hardeep K. Obhi
- University of North Carolina at Chapel Hill Chapel Hill NC USA
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13
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Pappas C, Wang Q, Klinedinst BS, Le ST, Larsen B, Pollpeter A, Willette AA. In preclinical AD, impaired amyloid clearance and mitochondrial function underlie associations between white matter integrity and glucose regulation deficits. Alzheimers Dement 2020. [DOI: 10.1002/alz.046745] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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14
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Pappas C, Wang Q, Klinedinst BS, Le ST, Pollpeter A, Larsen B, Willette AA. Sex and sex hormones largely explain associations between glucose levels and brain atrophy in AD‐sensitive regions. Alzheimers Dement 2020. [DOI: 10.1002/alz.045259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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15
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Pappas C, Wang Q, Lee LY, Le ST, Klinedinst BS, Pollpeter A, Larsen B, Willette AA. TOMM40 has genomic effects on hippocampal volume in mid‐life adults independent of APOE ε4 status. Alzheimers Dement 2020. [DOI: 10.1002/alz.045347] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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16
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Pappas C, Klinedinst BS, Le S, Wang Q, Larsen B, McLimans K, Lockhart SN, Allenspach‐Jorn K, Mochel JP, Willette AA. CSF glucose tracks regional tau progression based on Alzheimer's disease risk factors. Alzheimers Dement (N Y) 2020; 6:e12080. [PMID: 32864418 PMCID: PMC7443745 DOI: 10.1002/trc2.12080] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [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: 05/06/2020] [Revised: 07/08/2020] [Accepted: 07/28/2020] [Indexed: 01/21/2023]
Abstract
INTRODUCTION Glucose hypometabolism and tau formation are key features of Alzheimer's disease (AD). Less is known about the relationship between fasting glucose and regional tau accumulation. METHODS Cerebrospinal fluid (CSF) glucose was linearly regressed on regional tau (flortaucipir) among 169 Alzheimer's Disease Neuroimaging Initiative (ADNI3) participants. Flortaucipir uptake was examined by Braak stages and regions of interest (ROIs). Interactions were explored between CSF glucose and AD risk factors including regional amyloid beta (Aβ), sex, Apolipoprotein E ε4 (APOEε4) status, AD parental family history (AD FH), and cognitive impairment (CI). RESULTS Interactions found higher CSF glucose tracked less tau in ROIs or Braak stages I/II (women, APOE ε4+, regional Aβ), III/IV (AD FH+, regional Aβ), and V/VI (AD FH+). CI drove Braak III-VI associations. DISCUSSION Among women and APOE ε4 carriers, higher CSF glucose tracked less early-stage tau. Higher CSF glucose may reflect compensation against tau spreading in CI, Aβ+, or AD FH+.
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Affiliation(s)
- Colleen Pappas
- Department of Food Science and Human NutritionIowa State UniversityAmesIowaUSA
| | | | - Scott Le
- Department of Food Science and Human NutritionIowa State UniversityAmesIowaUSA
- Interdepartmental Graduate ProgramIowa State UniversityAmesIowaUSA
| | - Qian Wang
- Department of Food Science and Human NutritionIowa State UniversityAmesIowaUSA
| | - Brittany Larsen
- Department of Food Science and Human NutritionIowa State UniversityAmesIowaUSA
| | - Kelsey McLimans
- Department of Nutrition and DieteticsViterbo UniversityLa CrosseWisconsinUSA
| | - Samuel N. Lockhart
- Department of Internal MedicineWake Forest UniversityWinston‐SalemNorth CarolinaUSA
| | | | - Jonathan P. Mochel
- Department of Veterinary Clinical SciencesIowa State UniversityAmesIowaUSA
| | - Auriel A. Willette
- Department of Food Science and Human NutritionIowa State UniversityAmesIowaUSA
- Neuroscience Graduate ProgramIowa State UniversityAmesIowaUSA
- Department of Biomedical SciencesIowa State UniversityAmesIowaUSA
- Department of PsychologyIowa State UniversityAmesIowaUSA
- Department of NeurologyUniversity of IowaIowa CityIowaUSA
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17
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Klinedinst BS, Meier NF, Larsen B, Wang Y, Yu S, Mochel JP, Le S, Wolf T, Pollpeter A, Pappas C, Wang Q, Allenspach K, Wang L, Russell D, Bennett DA, Willette AA. Walking in the Light: How History of Physical Activity, Sunlight, and Vitamin D Account for Body Fat-A UK Biobank Study. Obesity (Silver Spring) 2020; 28:1428-1437. [PMID: 32573118 PMCID: PMC7501143 DOI: 10.1002/oby.22852] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [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: 02/23/2020] [Revised: 04/03/2020] [Accepted: 04/10/2020] [Indexed: 11/09/2022]
Abstract
OBJECTIVE The high prevalence of vitamin D deficiency and obesity drives the need for successful strategies that elevate vitamin D levels, prevent adipogenesis, and stimulate lipolysis. This study provides a theoretical model to evaluate how physical activity (PA) and sunlight exposure influence serum vitamin D levels and regional adiposity. This study hypothesized a posteriori that sunlight is associated with undifferentiated visceral adiposity by increasing the ratio of brown to white adipose tissue. METHODS Using 10-year longitudinal data, accelerometry, a sun-exposure questionnaire, and regional adiposity quantified by dual-energy x-ray absorptiometry imaging, a structural-equation mediation model of growth curves was constructed with a data-driven methodology. RESULTS Sunlight and PA conjointly increased serum vitamin D. Changes in vitamin D levels partially mediated how sunlight and PA impacted adiposity in visceral and subcutaneous regions within a subjective PA model. In an objective PA model, vitamin D was a mediator for subcutaneous regions only. Interestingly, sunlight was associated with less adiposity in subcutaneous regions but greater adiposity in visceral regions. CONCLUSIONS Sunlight and PA may increase vitamin D levels. For the first time, this study characterizes a positive association between sunlight and visceral adiposity. Further investigation and experimentation are necessary to clarify the physiological role of sunlight exposure on adipose tissue.
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Affiliation(s)
- Brandon S. Klinedinst
- Department of Food Science and Human Nutrition, Iowa State
University, Ames, IA
- Neuroscience Program, Iowa State University, Ames, IA
| | | | - Brittany Larsen
- Neuroscience Program, Iowa State University, Ames, IA
- Department of Biomedical Sciences, College of Veterinary
Medicine, Iowa State University, Ames, IA
| | - Yueying Wang
- Department of Statistics, Iowa State University, Ames,
IA
| | - Shan Yu
- Department of Statistics, Iowa State University, Ames,
IA
| | - Jonathan P. Mochel
- Department of Biomedical Sciences, College of Veterinary
Medicine, Iowa State University, Ames, IA
| | - Scott Le
- Department of Food Science and Human Nutrition, Iowa State
University, Ames, IA
| | - Tovah Wolf
- Department of Nutrition & Dietetics, Western Carolina
University, Cullowhee, NC
| | - Amy Pollpeter
- Bioinformatics & Computational Biology Program, Iowa
State University, Ames, IA
| | - Colleen Pappas
- Department of Food Science and Human Nutrition, Iowa State
University, Ames, IA
| | - Qian Wang
- Department of Food Science and Human Nutrition, Iowa State
University, Ames, IA
| | - Karin Allenspach
- Department of Veterinary Clinical Sciences, Iowa State
University, Ames, IA
| | - Li Wang
- Department of Statistics, Iowa State University, Ames,
IA
| | - Daniel Russell
- Department of Human Development & Family Studies, Iowa
State University, Ames, IA
| | - David A. Bennett
- Rush Alzheimer’s Disease Center, Rush University
Medical Center, Chicago, IL
| | - Auriel A. Willette
- Department of Food Science and Human Nutrition, Iowa State
University, Ames, IA
- Neuroscience Program, Iowa State University, Ames, IA
- Bioinformatics & Computational Biology Program, Iowa
State University, Ames, IA
- Department of Neurology, University of Iowa, Iowa City,
IA
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18
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Ambrosini YM, Neuber S, Borcherding D, Seo YJ, Segarra S, Glanemann B, Garden OA, Müller U, Adam MG, Dang V, Borts D, Atherly T, Willette AA, Jergens A, Mochel JP, Allenspach K. Treatment With Hydrolyzed Diet Supplemented With Prebiotics and Glycosaminoglycans Alters Lipid Metabolism in Canine Inflammatory Bowel Disease. Front Vet Sci 2020; 7:451. [PMID: 32851029 PMCID: PMC7406657 DOI: 10.3389/fvets.2020.00451] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2020] [Accepted: 06/22/2020] [Indexed: 12/26/2022] Open
Abstract
Canine inflammatory bowel disease (IBD) is a chronic, immunologically mediated intestinal disorder, resulting from the complex interaction of genetic, environmental and immune factors. Hydrolyzed diets are used in dogs with food-responsive diarrhea (FRD) to reduce adverse responses to immunostimulatory proteins. Prebiotics (PRBs) and glycosaminoglycans (GAGs) have previously been demonstrated to show anti-inflammatory activity in the intestinal mucosa. Notably, hydrolyzed diets combined with the administration of PRBs and GAGs offer a promising approach for the treatment of canine IBD. Our aim was to investigate the effects of hydrolyzed diet and GAG+PRB co-treatment on the serum metabolomic profile of IBD dogs. Dogs with IBD randomly received either hydrolyzed diet supplemented with GAGs and PRBs (treatment 1) or hydrolyzed diet alone (treatment 2) for 10 weeks. A targeted metabolomics approach using mass spectrometry was performed to quantify changes in the serum metabolome before and after treatment and between treatment 1 and 2. Principal component analysis (PCA), partial least squares-discriminant analysis (PLS-DA), hierarchical cluster analysis (HCA) and univariate statistics were used to identify differences between the treatment groups. PCA, PLS-DA, and HCA showed a clear clustering of IBD dogs before and after hydrolyzed diet, indicating that the treatment impacted the serum metabolome. Univariate analysis revealed that most of the altered metabolites were involved in lipid metabolism. The most impacted lipid classes were components of cell membranes, including glycerophospholipids, sphingolipids, and di- and triglycerides. In addition, changes in serum metabolites after GAG+PRB co-treatment suggested a possible additional beneficial effect on the lipid metabolism in IBD dogs. In conclusion, the present study showed a significant increase in metabolites that protect gut cell membrane integrity in response to hydrolyzed diet alone or in combination with GAG+PRB co-treatment. Administration of such treatment over 70 days improved selected serum biomarkers of canine IBD, possibly indicating improved intestinal membrane integrity.
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Affiliation(s)
- Yoko M. Ambrosini
- Department of Biomedical Sciences, College of Veterinary Medicine, Iowa State University, Ames, IA, United States
| | | | - Dana Borcherding
- Department of Biomedical Sciences, College of Veterinary Medicine, Iowa State University, Ames, IA, United States
| | - Yeon-Jung Seo
- Department of Biomedical Sciences, College of Veterinary Medicine, Iowa State University, Ames, IA, United States
| | | | | | - Oliver A. Garden
- Department of Clinical Studies and Advanced Medicine, University of Pennsylvania College of Veterinary Medicine, Philadelphia, PA, United States
| | - Udo Müller
- Biocrates Life Sciences AG, Innsbruck, Austria
| | | | - Viet Dang
- Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA, United States
| | - David Borts
- Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA, United States
| | - Todd Atherly
- Department of Veterinary Clinical Sciences, College of Veterinary Medicine, Iowa State University, Ames, IA, United States
| | - Auriel A. Willette
- Department of Biomedical Sciences, College of Veterinary Medicine, Iowa State University, Ames, IA, United States
- Department of Food Science and Human Nutrition, College of Human Sciences, Iowa State University, Ames, IA, United States
| | - Albert Jergens
- Department of Veterinary Clinical Sciences, College of Veterinary Medicine, Iowa State University, Ames, IA, United States
| | - Jonathan P. Mochel
- Department of Biomedical Sciences, College of Veterinary Medicine, Iowa State University, Ames, IA, United States
| | - Karin Allenspach
- Department of Veterinary Clinical Sciences, College of Veterinary Medicine, Iowa State University, Ames, IA, United States
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19
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Klinedinst BS, Le ST, Larsen B, Pappas C, Hoth NJ, Pollpeter A, Wang Q, Wang Y, Yu S, Wang L, Allenspach K, Mochel JP, Bennett DA, Willette AA. Genetic Factors of Alzheimer's Disease Modulate How Diet is Associated with Long-Term Cognitive Trajectories: A UK Biobank Study. J Alzheimers Dis 2020; 78:1245-1257. [PMID: 33252089 PMCID: PMC7895545 DOI: 10.3233/jad-201058] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [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: 12/29/2022]
Abstract
BACKGROUND Fluid intelligence (FI) involves abstract problem-solving without prior knowledge. Greater age-related FI decline increases Alzheimer's disease (AD) risk, and recent studies suggest that certain dietary regimens may influence rates of decline. However, it is uncertain how long-term food consumption affects FI among adults with or without familial history of AD (FH) or APOE4 (ɛ4). OBJECTIVE Observe how the total diet is associated with long-term cognition among mid- to late-life populations at-risk and not-at-risk for AD. METHODS Among 1,787 mid-to-late-aged adult UK Biobank participants, 10-year FI trajectories were modeled and regressed onto the total diet based on self-reported intake of 49 whole foods from a Food Frequency Questionnaire (FFQ). RESULTS Daily cheese intake strongly predicted better FIT scores over time (FH-: β= 0.207, p < 0.001; ɛ4-: β= 0.073, p = 0.008; ɛ4+: β= 0.162, p = 0.001). Alcohol of any type daily also appeared beneficial (ɛ4+: β= 0.101, p = 0.022) and red wine was sometimes additionally protective (FH+: β= 0.100, p = 0.014; ɛ4-: β= 0.59, p = 0.039). Consuming lamb weekly was associated with improved outcomes (FH-: β= 0.066, p = 0.008; ɛ4+: β= 0.097, p = 0.044). Among at risk groups, added salt correlated with decreased performance (FH+: β= -0.114, p = 0.004; ɛ4+: β= -0.121, p = 0.009). CONCLUSION Modifying meal plans may help minimize cognitive decline. We observed that added salt may put at-risk individuals at greater risk, but did not observe similar interactions among FH- and AD- individuals. Observations further suggest in risk status-dependent manners that adding cheese and red wine to the diet daily, and lamb on a weekly basis, may also improve long-term cognitive outcomes.
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Affiliation(s)
- Brandon S. Klinedinst
- Department of Food Science and Human Nutrition, Iowa State University, Ames, IA, USA
- Neuroscience Graduate Program, Iowa State University, Ames, IA, USA
| | - Scott T. Le
- Department of Food Science and Human Nutrition, Iowa State University, Ames, IA, USA
| | - Brittany Larsen
- Neuroscience Graduate Program, Iowa State University, Ames, IA, USA
- Department of Biomedical Sciences, Iowa State University, Ames, IA, USA
| | - Colleen Pappas
- Department of Food Science and Human Nutrition, Iowa State University, Ames, IA, USA
| | - Nathan J. Hoth
- Department of Food Science and Human Nutrition, Iowa State University, Ames, IA, USA
| | - Amy Pollpeter
- Department of Food Science and Human Nutrition, Iowa State University, Ames, IA, USA
- Department of Biomedical Sciences, Iowa State University, Ames, IA, USA
| | - Qian Wang
- Department of Food Science and Human Nutrition, Iowa State University, Ames, IA, USA
| | - Yueying Wang
- Department of Statistics, Iowa State University, Ames, IA, USA
| | - Shan Yu
- Department of Statistics, University of Virginia, Charlottesville, VA, USA
| | - Li Wang
- Department of Statistics, Iowa State University, Ames, IA, USA
| | - Karin Allenspach
- Department of Veterinary Clinical Sciences, Iowa State University, Ames, IA, USA
| | | | - David A. Bennett
- Rush Alzheimer’s Disease Center, Rush Medical Center, Rush University, Chicago, IL, USA
| | - Auriel A. Willette
- Department of Food Science and Human Nutrition, Iowa State University, Ames, IA, USA
- Neuroscience Graduate Program, Iowa State University, Ames, IA, USA
- Department of Veterinary Clinical Sciences, Iowa State University, Ames, IA, USA
- Department of Neurology, University of Iowa, Iowa City, USA
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Luo J, Padhi P, Jin H, Anantharam V, Zenitsky G, Wang Q, Willette AA, Kanthasamy A, Kanthasamy AG. Utilization of the CRISPR-Cas9 Gene Editing System to Dissect Neuroinflammatory and Neuropharmacological Mechanisms in Parkinson's Disease. J Neuroimmune Pharmacol 2019; 14:595-607. [PMID: 30879240 PMCID: PMC6746615 DOI: 10.1007/s11481-019-09844-3] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [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: 01/23/2019] [Accepted: 02/28/2019] [Indexed: 02/07/2023]
Abstract
Chronic and debilitating neurodegenerative diseases, such as Parkinson's disease (PD), impose an immense medical, emotional, and economic burden on patients and society. Due to a complex interaction between genetic and environmental risk factors, the etiology of PD remains elusive. However, the cumulative evidence emerging from clinical and experimental research over the last several decades has identified mitochondrial dysfunction, oxidative stress, neuroinflammation, and dysregulated protein degradation as the main drivers of PD neurodegeneration. The genome-editing system CRISPR (clustered regularly interspaced short palindromic repeats) has recently transformed the field of biotechnology and biomedical discovery and is poised to accelerate neurodegenerative disease research. It has been leveraged to generate PD animal models, such as Parkin, DJ-1, and PINK1 triple knockout miniature pigs. CRISPR has also allowed the deeper understanding of various PD gene interactions, as well as the identification of novel apoptotic pathways associated with neurodegenerative processes in PD. Furthermore, its application has been used to dissect neuroinflammatory pathways involved in PD pathogenesis, such as the PKCδ signaling pathway, as well as the roles of novel compensatory or protective pathways, such as Prokineticin-2 signaling. This review aims to highlight the historical milestones in the evolution of this technology and attempts to illustrate its transformative potential in unraveling disease mechanisms as well as in the development of innovative treatment strategies for PD. Graphical Abstract.
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Affiliation(s)
- Jie Luo
- Parkinson's Disorder Research Laboratory, Iowa Center for Advanced Neurotoxicology, Department of Biomedical Sciences, Iowa State University, Ames, IA, 50011, USA
| | - Piyush Padhi
- Parkinson's Disorder Research Laboratory, Iowa Center for Advanced Neurotoxicology, Department of Biomedical Sciences, Iowa State University, Ames, IA, 50011, USA
| | - Huajun Jin
- Parkinson's Disorder Research Laboratory, Iowa Center for Advanced Neurotoxicology, Department of Biomedical Sciences, Iowa State University, Ames, IA, 50011, USA
| | - Vellareddy Anantharam
- Parkinson's Disorder Research Laboratory, Iowa Center for Advanced Neurotoxicology, Department of Biomedical Sciences, Iowa State University, Ames, IA, 50011, USA
| | - Gary Zenitsky
- Parkinson's Disorder Research Laboratory, Iowa Center for Advanced Neurotoxicology, Department of Biomedical Sciences, Iowa State University, Ames, IA, 50011, USA
| | - Qian Wang
- Department of Food Science and Human Nutrition, Iowa State University, Ames, IA, 50011, USA
| | - Auriel A Willette
- Department of Food Science and Human Nutrition, Iowa State University, Ames, IA, 50011, USA
| | - Arthi Kanthasamy
- Parkinson's Disorder Research Laboratory, Iowa Center for Advanced Neurotoxicology, Department of Biomedical Sciences, Iowa State University, Ames, IA, 50011, USA
| | - Anumantha G Kanthasamy
- Parkinson's Disorder Research Laboratory, Iowa Center for Advanced Neurotoxicology, Department of Biomedical Sciences, Iowa State University, Ames, IA, 50011, USA.
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21
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Klinedinst BS, Pappas C, Le S, Yu S, Wang Q, Wang L, Allenspach-Jorn K, Mochel JP, Willette AA. Aging-related changes in fluid intelligence, muscle and adipose mass, and sex-specific immunologic mediation: A longitudinal UK Biobank study. Brain Behav Immun 2019; 82:396-405. [PMID: 31513875 PMCID: PMC7755032 DOI: 10.1016/j.bbi.2019.09.008] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/24/2019] [Revised: 09/07/2019] [Accepted: 09/08/2019] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Obesity in midlife and early late-life is associated with worse normal cognitive aging. Dual-energy X-ray absorptiometry (DEXA) suggests that visceral adipose mass (VAM) plays a predominant role, whereas non-visceral adipose mass (NVAM) and lean muscle mass (LMM) have shown conflicting relationships. It is unknown how longitudinal, cognitive changes in age-sensitive domains like fluid intelligence (FI) correspond to VAM, NVAM, and LMM in women and men. Furthermore, changes over time in blood leukocyte sub-populations may partially or fully account for sex-specific associations. METHODS Data on 4431 late middle-aged, cognitively unimpaired adults (mean = 64.5 y) was obtained from the UK Biobank prospective cohort across 22 centers. FI scores, blood leukocyte counts, and covariates (age, social class, education) were measured at three 2-year intervals over 6 years. DEXA collection overlapped with these intervals. Sex-stratified growth curves, structural equations, and Preacher-Hayes mediation were used to estimate direct and indirect effects. β-weights were standardized. RESULTS More LMM predicted gains in FI scores among women (β = 0.130, p < .001) and men (β = 0.089, p < .001). Conversely, more VAM and NVAM independently predicted FI decline equally among sexes (e.g., NVAM: women: β = -0.082, p < .001; men: β = -0.076, p < .001). Among women, FI associations were fully mediated by higher eosinophil counts via VAM (λ = 30.8%, p = .028) and lower lymphocyte counts via LMM (λ = 69.2%, p = .021). Among men, FI associations were partially mediated by lower basophils counts via LMM (λ = 4.5%, p = .042) and higher counts via VAM (λ = 50%, p = .037). CONCLUSION The proportion of LMM and VAM equally influenced male FI changes over 6 years, whereas higher LMM among women appeared to more strongly influence. FI changes. Leukocyte counts strongly mediated VAM- and LMM-related FI changes in a sex-specific manner, but not for NVAM. For clinical translation, exercise studies in older adults may benefit from assessing sex-specific values of DEXA-based tissue mass, FI, and leukocyte sub-populations to gauge potential cognitive benefits of less VAM and more LMM.
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Affiliation(s)
- Brandon S. Klinedinst
- Department of Food Science and Human Nutrition, Iowa State University, Ames, IA, USA,Neuroscience Graduate Program, Iowa State University, Ames, IA, USA
| | - Colleen Pappas
- Department of Food Science and Human Nutrition, Iowa State University, Ames, IA, USA
| | - Scott Le
- Department of Food Science and Human Nutrition, Iowa State University, Ames, IA, USA,Interdisciplinary Graduate Studies Program, Iowa State University, Ames, IA, USA
| | - Shan Yu
- Department of Statistics, Iowa State University, Ames, IA, USA
| | - Qian Wang
- Department of Food Science and Human Nutrition, Iowa State University, Ames, IA, USA,Neuroscience Graduate Program, Iowa State University, Ames, IA, USA
| | - Li Wang
- Department of Statistics, Iowa State University, Ames, IA, USA
| | | | | | - Auriel A. Willette
- Department of Food Science and Human Nutrition, Iowa State University, Ames, IA, USA,Neuroscience Graduate Program, Iowa State University, Ames, IA, USA,Interdisciplinary Graduate Studies Program, Iowa State University, Ames, IA, USA,Department of Biomedical Sciences, Iowa State University, Ames, IA, USA,Department of Neurology, University of Iowa, Iowa City, USA,Send Correspondence to: Auriel A. Willette, 1109 HNSB, 2302 Osborn Drive, Ames, IA 50011-1078, Phone: (515) 294-3110,
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McLimans KE, Clark BE, Plagman A, Pappas C, Klinedinst B, Anatharam V, Kanthasamy A, Willette AA. Is Cerebrospinal Fluid Superoxide Dismutase 1 a Biomarker of Tau But Not Amyloid-Induced Neurodegeneration in Alzheimer's Disease? Antioxid Redox Signal 2019; 31:572-578. [PMID: 31088292 PMCID: PMC6657291 DOI: 10.1089/ars.2019.7762] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
Copper/zinc superoxide dismutase 1 (SOD1) scavenges free radicals that may otherwise damage brain parenchyma. Impaired SOD1 activity drives Alzheimer's disease (AD) neuropathology in animal models and postmortem AD brains. Yet, it is unknown how cerebrospinal fluid (CSF) SOD1 is related in vivo to AD-relevant cognitive, neuroimaging, and CSF neurotoxic factors, and what potential mechanisms underlie these associations. We found that higher CSF SOD1 correlated with better global cognition scores, yet less gray matter (GM) and glucose metabolism in AD-sensitive parietal and frontal regions. Higher CSF SOD1 was also associated with more CSF total tau and phosphorylated tau-181, but not beta-amyloid 1-42. Through mediation analyses, higher total tau largely mitigated higher CSF SOD1 and better global cognition associations, and it fully accounted for less predicted regional GM but not glucose metabolism. Among participants who developed AD over 2 years or had AD at baseline, higher CSF SOD1 was initially related to more regional GM. This association became nonsignificant with full mediation via higher CSF total tau, through which higher CSF SOD1 predicted more total tau and in turn less GM. Our observations lead to the hypothesis that SOD1 antioxidation reflects tau but not amyloid accumulation, which may lead to pro-oxidant-based neurodegeneration and cognitive dysfunction. Antioxid. Redox Signal. 31, 572-578.
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Affiliation(s)
- Kelsey E McLimans
- 1Department of Food Science and Human Nutrition, Iowa State University, Ames, Iowa
| | - Bridget E Clark
- 1Department of Food Science and Human Nutrition, Iowa State University, Ames, Iowa
| | - Alexandra Plagman
- 1Department of Food Science and Human Nutrition, Iowa State University, Ames, Iowa
| | - Colleen Pappas
- 1Department of Food Science and Human Nutrition, Iowa State University, Ames, Iowa
| | - Brandon Klinedinst
- 1Department of Food Science and Human Nutrition, Iowa State University, Ames, Iowa.,4Department of Psychology, Iowa State University, Ames, Iowa
| | | | | | - Auriel A Willette
- 1Department of Food Science and Human Nutrition, Iowa State University, Ames, Iowa.,2Neuroscience Graduate Program, Iowa State University, Ames, Iowa.,3Department of Biomedical Sciences, Iowa State University, Ames, Iowa.,4Department of Psychology, Iowa State University, Ames, Iowa.,5Department of Neurology, University of Iowa, Iowa City, Iowa
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Le ST, Klinedinst BS, Pappas C, Cerna J, Frizell B, Anatharam V, Kanthasamy A, Willette AA. P2-441: MITOCHONDRIAL BIOENERGETICS AND ALZHEIMER'S DISEASE: PYRUVATE KINASE AND ASSOCIATIONS WITH NEURAL AND COGNITIVE OUTCOMES. Alzheimers Dement 2019. [DOI: 10.1016/j.jalz.2019.06.2848] [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: 10/25/2022]
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McLimans KE, Clark B, Pappas C, Plagman AK, Wolf T, Klinedinst BS, Le ST, Wang Q, Kanthasamy A, Anatharam V, Willette AA. P3-233: ASSOCIATIONS OF CSF SUPEROXIDE DISMUTASE 1 WITH COGNITIVE, NEURAL, AND CSF BIOMARKERS ACROSS THE ALZHEIMER'S DISEASE SPECTRUM. Alzheimers Dement 2019. [DOI: 10.1016/j.jalz.2019.06.3263] [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: 10/25/2022]
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Plagman AK, Pappas C, McLimans KE, Klinedinst BS, Le ST, Wolf T, Wang Q, Willette AA. P3-260: FASTING GLUCOSE AND WHITE MATTER INTEGRITY: BENEFICIAL FOLLOWED BY DETRIMENTAL ASSOCIATIONS OVER TIME IN PRECLINICAL AD AND ALONG THE AD SPECTRUM. Alzheimers Dement 2019. [DOI: 10.1016/j.jalz.2019.06.3291] [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: 10/25/2022]
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Willette AA, Pappas C, Wolf T, Klinedinst BS, McLimans KE, Plagman AK, Le ST, Wang Q. P1-484: DIABETES IN PRECLINICAL AD DOWNREGULATES ANXIETY AND RELATED AFFECT TASK FMRI ACTIVITY IN MIDLIFE, THEN POTENTIATES EMOTIONAL DYSFUNCTION IN LATE LIFE. Alzheimers Dement 2019. [DOI: 10.1016/j.jalz.2019.06.1089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Pappas C, McLimans KE, Klinedinst BS, Plagman AK, Le ST, Anatharam V, Kanthasamy A, Willette AA. P1-271: CSF GLUCOSE TRACKS BRAAK STAGE TAU DEPOSITION. Alzheimers Dement 2019. [DOI: 10.1016/j.jalz.2019.06.826] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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McLimans KE, Crank K, Pappas C, Plagman AK, Wolf T, Klinedinst BS, Le ST, Wang Q, Willette AA. P2-257: BIOTINIDASE AS A NOVEL BIOMARKER OF NEURAL CHANGES AND AD CSF BIOMARKERS ACROSS THE ALZHEIMER'S DISEASE SPECTRUM. Alzheimers Dement 2019. [DOI: 10.1016/j.jalz.2019.06.2664] [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: 10/25/2022]
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Le ST, Klinedinst BS, Willette AA. P4-449: CHEESE, THE ENGINE OF REASON? HEALTH, DIETARY, AND GENETIC FACTORS THAT TRACK FLUID INTELLIGENCE OVER 6 YEARS. Alzheimers Dement 2019. [DOI: 10.1016/j.jalz.2019.06.4121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Ambrosini YM, Borcherding D, Kanthasamy A, Kim HJ, Willette AA, Jergens A, Allenspach K, Mochel JP. The Gut-Brain Axis in Neurodegenerative Diseases and Relevance of the Canine Model: A Review. Front Aging Neurosci 2019; 11:130. [PMID: 31275138 PMCID: PMC6591269 DOI: 10.3389/fnagi.2019.00130] [Citation(s) in RCA: 60] [Impact Index Per Article: 12.0] [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: 03/25/2019] [Accepted: 05/16/2019] [Indexed: 12/13/2022] Open
Abstract
Identifying appropriate animal models is critical in developing translatable in vitro and in vivo systems for therapeutic drug development and investigating disease pathophysiology. These animal models should have direct biological and translational relevance to the underlying disease they are supposed to mimic. Aging dogs not only naturally develop a cognitive decline in many aspects including learning and memory deficits, but they also exhibit human-like individual variability in the aging process. Neurodegenerative processes that can be observed in both human and canine brains include the progressive accumulation of β-amyloid (Aβ) found as diffuse plaques in the prefrontal cortex (PFC), including the gyrus proreus (i.e., medial orbital PFC), as well as the hippocampus and the cerebral vasculature. Tau pathology, a marker of neurodegeneration and dementia progression, was also found in canine hippocampal synapses. Various epidemiological data show that human patients with neurodegenerative diseases have concurrent intestinal lesions, and histopathological changes in the gastrointestinal (GI) tract occurs decades before neurodegenerative changes. Gut microbiome alterations have also been reported in many neurodegenerative diseases including Alzheimer's (AD) and Parkinson's diseases, as well as inflammatory central nervous system (CNS) diseases. Interestingly, the dog gut microbiome more closely resembles human gut microbiome in composition and functional overlap compared to rodent models. This article reviews the physiology of the gut-brain axis (GBA) and its involvement with neurodegenerative diseases in humans. Additionally, we outline the advantages and weaknesses of current in vitro and in vivo models and discuss future research directions investigating major human neurodegenerative diseases such as AD and Parkinson's diseases using dogs.
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Affiliation(s)
- Yoko M. Ambrosini
- Department of Biomedical Sciences, College of Veterinary Medicine, Iowa State University, Ames, IA, United States
| | - Dana Borcherding
- Department of Biomedical Sciences, College of Veterinary Medicine, Iowa State University, Ames, IA, United States
| | - Anumantha Kanthasamy
- Department of Biomedical Sciences, College of Veterinary Medicine, Iowa State University, Ames, IA, United States
| | - Hyun Jung Kim
- Department of Biomedical Engineering, University of Texas at Austin, Austin, TX, United States
| | - Auriel A. Willette
- Department of Biomedical Sciences, College of Veterinary Medicine, Iowa State University, Ames, IA, United States
- Department of Food Science and Human Nutrition, College of Agriculture and Life Sciences, Iowa State University, Ames, IA, United States
| | - Albert Jergens
- Department of Veterinary Clinical Sciences, Iowa State University, Ames, IA, United States
| | - Karin Allenspach
- Department of Veterinary Clinical Sciences, Iowa State University, Ames, IA, United States
| | - Jonathan P. Mochel
- Department of Biomedical Sciences, College of Veterinary Medicine, Iowa State University, Ames, IA, United States
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Plagman A, Hoscheidt S, McLimans KE, Klinedinst B, Pappas C, Anantharam V, Kanthasamy A, Willette AA. Cholecystokinin and Alzheimer's disease: a biomarker of metabolic function, neural integrity, and cognitive performance. Neurobiol Aging 2019; 76:201-207. [PMID: 30739077 DOI: 10.1016/j.neurobiolaging.2019.01.002] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [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: 10/22/2018] [Revised: 12/11/2018] [Accepted: 01/02/2019] [Indexed: 10/27/2022]
Abstract
Cholecystokinin (CCK) is a satiety hormone that is highly expressed in brain regions like the hippocampus. CCK is integral for maintaining or enhancing memory and thus may be a useful marker of cognitive and neural integrity in participants with normal cognition, mild cognitive impairment, and Alzheimer's disease (AD). Cerebrospinal fluid (CSF) CCK levels were examined in 287 subjects from the Alzheimer's Disease Neuroimaging Initiative. Linear or voxelwise regression was used to examine associations between CCK, regional gray matter, CSF AD biomarkers, and cognitive outcomes. Briefly, higher CCK was related to a decreased likelihood of having mild cognitive impairment or AD, better global and memory scores, and more gray matter volume primarily spanning posterior cingulate cortex, parahippocampal gyrus, and medial prefrontal cortex. CSF CCK was also strongly related to higher CSF total tau (R2 = 0.342) and p-tau-181 (R2 = 0.256) but not Aβ1-42. Tau levels partially mediated CCK and cognition associations. In conclusion, CCK levels may reflect compensatory protection as AD pathology progresses.
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Affiliation(s)
- Alexandra Plagman
- Department of Food Science and Human Nutrition, Iowa State University, Ames, IA, USA
| | - Siobhan Hoscheidt
- Department of Internal Medicine-Gerontology and Geriatic Medicine, Wake Forest School of Medicine, Salem, NC, USA
| | - Kelsey E McLimans
- Department of Food Science and Human Nutrition, Iowa State University, Ames, IA, USA
| | | | - Colleen Pappas
- Department of Food Science and Human Nutrition, Iowa State University, Ames, IA, USA
| | | | | | - Auriel A Willette
- Department of Food Science and Human Nutrition, Iowa State University, Ames, IA, USA; Neuroscience Graduate Program, Iowa State University, Ames, IA, USA; Department of Biomedical Sciences, Iowa State University, Ames, IA, USA; Department of Psychology, Iowa State University, Ames, IA, USA; Department of Neurology, University of Iowa, Iowa City, IA, USA.
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McLimans KE, Webb JL, Anantharam V, Kanthasamy A, Willette AA. Peripheral versus Central Index of Metabolic Dysfunction and Associations with Clinical and Pathological Outcomes in Alzheimer's Disease. J Alzheimers Dis 2018; 60:1313-1324. [PMID: 28968233 DOI: 10.3233/jad-170263] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
BACKGROUND/OBJECTIVE Insulin-like growth factor binding protein 2 (IGFBP-2) regulates blood glucose levels, facilitates hippocampal synaptic plasticity and may have a predictive value for Alzheimer's disease (AD) diagnosis. METHODS IGFBP-2 levels were studied in plasma in 566 subjects and in cerebrospinal fluid (CSF) in 245 subjects across the AD spectrum from the Alzheimer's Disease Neuroimaging Initiative (ADNI). Variants in the IGFBP-2 gene were examined. Linear mixed modeling in SPSS tested main effects of IGFBP-2 and interactions with APOE4 on neurocognitive indices and biomarkers. Voxel-wise regression was used to gauge IGFBP-2 and regional grey matter and glucose metabolism associations. RESULTS Each point increase in IGFBP-2 corresponded to a three times greater likelihood of having mild cognitive impairment (MCI) or AD. IGFBP-2 showed beneficial associations with respect to cognitive scores in individuals with two APOE4 alleles. Higher IGFBP-2 predicted higher insulin resistance, but not CSF amyloid or tau. Voxel-wise analyses showed that plasma IGFBP-2 predicted lower grey matter volume and FDG metabolism in a large area spanning the frontal, temporal, and occipital lobes. CSF IGFBP-2 levels showed similar voxel-wise analysis results, but were uniquely associated with CSF amyloid and tau. Analysis of single nucleotide polymorphisms (SNPs) in IGFBP-2 showed that subjects carrying risk alleles versus common alleles had increased risk of AD and lower memory scores. Voxel-wise analyses of these SNPs also implicated the hippocampus and prefrontal cortex. CONCLUSIONS IGFBP-2 is associated with AD risk and outcomes; plasma IGFBP-2 provides stronger predictive power for brain outcomes, while CSF IGFBP-2 provides improved predictive accuracy for AD CSF biomarkers.
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Affiliation(s)
- Kelsey E McLimans
- Department of Food Science and Human Nutrition, Iowa State University, Ames, IA, USA
| | - Joseph L Webb
- Department of Food Science and Human Nutrition, Iowa State University, Ames, IA, USA
| | - Vellareddy Anantharam
- Department of Biomedical Sciences, Iowa State University, Ames, IA, USA.,Iowa Center for Advanced Neurotoxicology, Iowa State University, Ames, IA, USA
| | - Anumantha Kanthasamy
- Department of Biomedical Sciences, Iowa State University, Ames, IA, USA.,Iowa Center for Advanced Neurotoxicology, Iowa State University, Ames, IA, USA
| | - Auriel A Willette
- Department of Food Science and Human Nutrition, Iowa State University, Ames, IA, USA.,Department of Biomedical Sciences, Iowa State University, Ames, IA, USA.,Neuroscience Graduate Program, Iowa State University, Ames, IA, USA.,Department of Psychology, Iowa State University, Ames, IA, USA.,Department of Neurology, University of Iowa, Iowa City, IA, USA
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Swanson A, Wolf T, Sitzmann A, Willette AA. Neuroinflammation in Alzheimer's disease: Pleiotropic roles for cytokines and neuronal pentraxins. Behav Brain Res 2018; 347:49-56. [PMID: 29462653 PMCID: PMC5988985 DOI: 10.1016/j.bbr.2018.02.015] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [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: 11/17/2017] [Revised: 01/30/2018] [Accepted: 02/13/2018] [Indexed: 12/14/2022]
Abstract
Neuroinflammation is a potential factor speculated to underlie Alzheimer's disease (AD) etiopathogenesis and progression. The overwhelming focus in this area of research to date has been on the chronic upregulation of pro-inflammatory cytokines to understand how neuroinflammatory mechanisms contribute to neurodegeneration. Yet, it is important to understand the pleiotropic roles of these cytokines in modulating neuroinflammation in which they cannot be labeled as a strictly "good" or "bad" biomarker phenotype. As such, biomarkers with more precise functions are needed to better understand how neuroinflammation impacts the brain in AD. Neuronal pentraxins are a concentration- dependent group of pro- or anti- inflammatory cytokines. There is contradictory evidence of these pentraxins as being both neuroprotective and potentially detrimental in AD. Potential neuroprotective examples include their ability to predict AD-related outcomes such as cognition, memory function and synaptic refinement. This review will briefly outline the basis of AD and subsequently summarize findings for neuropathological mechanisms of neuroinflammation, roles for traditional pro-and anti-inflammatory cytokines, and data found thus far on the neuronal pentraxins.
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Affiliation(s)
- Ashley Swanson
- Department of Food Science and Human Nutrition, Iowa State University, 2312 Food Sciences Building, 536 Farm House Lane, Ames, IA 50011, United States.
| | - Tovah Wolf
- Department of Food Science and Human Nutrition, Iowa State University, 2312 Food Sciences Building, 536 Farm House Lane, Ames, IA 50011, United States.
| | - Alli Sitzmann
- Department of Psychology, Iowa State University, W112 Lagomarcino Hall, 901 Stange Road, Ames, IA 50011, United States.
| | - Auriel A Willette
- Department of Food Science and Human Nutrition, Iowa State University, 2312 Food Sciences Building, 536 Farm House Lane, Ames, IA 50011, United States; Department of Psychology, Iowa State University, W112 Lagomarcino Hall, 901 Stange Road, Ames, IA 50011, United States; Department of Biomedical Sciences, Iowa State University, 2008 Veterinary Medicine, Ames, IA 50011, United States; Department of Neurology, University of Iowa, 2007 Roy Carver Pavilion, 200 Hawkins Drive, Iowa City, IA 52242, United States.
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McLimans KE, Collazo-Martinez A, Hoscheidt SM, Willette AA. P4‐300: SERUM VITAMIN B12 AND 5‐METHYLTETRAHYDROFOLATE‐HOMOCYSTEINE METHYLTRANSFERASE REDUCTASE SNPS PREDICT GREY MATTER AND GLUCOSE METABOLISM ACROSS THE AD SPECTRUM. Alzheimers Dement 2018. [DOI: 10.1016/j.jalz.2018.07.122] [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: 10/28/2022]
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Abstract
OBJECTIVE Prediabetes and type 2 diabetes (i.e., hyperglycemia) are characterized by insulin resistance. These problems with energy metabolism may exacerbate emotional reactivity to negatively valenced stimuli and related phenomena such as predisposition toward negative affect, as well as cognitive deficits. Higher emotional reactivity is seen with hyperglycemia and insulin resistance. However, it is largely unknown how metabolic dysfunction correlates with related neural, hormonal, and cognitive outcomes. METHODS Among 331 adults from the Midlife in the United States study, eye-blink response (EBR) we cross sectionally examined to gauge reactivity to negative, positive, or neutrally valenced pictures from international affect picture system stimuli proximal to an acoustic startle probe. Increased EBR to negative stimuli was considered an index of stress reactivity. Frontal alpha asymmetry, a biomarker of negative affect predisposition, was determined using resting electroencephalography. Baseline urinary cortisol output was collected. Cognitive performance was gauged using the Brief Test of Adult Cognition by telephone. Fasting glucose and insulin characterized hyperglycemia or the homeostatic model assessment of insulin resistance. RESULTS Higher homeostatic model assessment of insulin resistance corresponded to an increased startle response, measured by EBR magnitude, for negative versus positive stimuli (R = 0.218, F(1,457) = 5.48, p = .020, euglycemia: M(SD) = .092(.776), hyperglycemia: M(SD) = .120(.881)). Participants with hyperglycemia versus euglycemia showed greater right frontal alpha asymmetry (F(1,307) = 6.62, p = .011, euglycemia: M(SD) = .018(.167), hyperglycemia: M(SD) = -.029(.160)), and worse Brief Test of Adult Cognition by telephone arithmetic performance (F(1,284) = 4.25, p = .040, euglycemia: M(SD) = 2.390(1.526), hyperglycemia: M(SD) = 1.920(1.462)). Baseline urinary cortisol (log10 μg/12 hours) was also dysregulated in individuals with hyperglycemia (F(1,324) = 5.09, p = .025, euglycemia: M(SD) = 1.052 ± .332, hyperglycemia: M(SD) = .961 (.362)). CONCLUSIONS These results suggest that dysmetabolism is associated with increased emotional reactivity, predisposition toward negative affect, and specific cognitive deficits.
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Affiliation(s)
- Tovah Wolf
- Department of Food Science and Human Nutrition, Iowa State University, Ames, IA, United States
| | - Vera Tsenkova
- Institute on Aging, University of Wisconsin-Madison, Madison, WI, United States
| | - Carol D. Ryff
- Institute on Aging, University of Wisconsin-Madison, Madison, WI, United States
- Department of Psychology, University of Wisconsin-Madison, Madison, WI, United States
| | - Richard J. Davidson
- Institute on Aging, University of Wisconsin-Madison, Madison, WI, United States
- Department of Psychology, University of Wisconsin-Madison, Madison, WI, United States
- Center for Healthy Minds, University of Wisconsin-Madison, Madison, WI, United States
- Waisman Laboratory for Brain Imaging and Behavior, University of Wisconsin-Madison, Madison, WI, United States
| | - Auriel A. Willette
- Department of Food Science and Human Nutrition, Iowa State University, Ames, IA, United States
- Department of Psychology, Iowa State University, Ames, IA, United States
- Department of Biomedical Sciences, Iowa State University, Ames, IA, United States
- Department of Neurology, University of Iowa, Iowa City, IA, United States
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Abstract
BACKGROUND Obesity and insulin resistance are associated with neuropathology and cognitive decline in Alzheimer's disease (AD). OBJECTIVE Ecto-nucleotide pyrophosphatase/phosphodiesterase 2, also called autotaxin, is produced by beige adipose tissue, regulates metabolism, and is higher in AD prefrontal cortex (PFC). Autotaxin may be a novel biomarker of dysmetabolism and AD. METHODS We studied Alzheimer's Disease Neuroimaging Initiative participants who were cognitively normal (CN; n = 86) or had mild cognitive impairment (MCI; n = 135) or AD (n = 66). Statistical analyses were conducted using SPSS software. Multinomial regression analyses tested if higher autotaxin was associated with higher relative risk for MCI or AD diagnosis, compared to the CN group. Linear mixed model analyses were used to regress autotaxin against MRI, FDG-PET, and cognitive outcomes. Spearman correlations were used to associate autotaxin and CSF biomarkers due to non-normality. FreeSurfer 4.3 derived mean cortical thickness in medial temporal lobe and prefrontal regions of interest. RESULTS Autotaxin levels were significantly higher in MCI and AD. Each point increase in log-based autotaxin corresponded to a 3.5 to 5 times higher likelihood of having MCI and AD, respectively. Higher autotaxin in AD predicted hypometabolism in the medial temporal lobe [R2 = 0.343, p < 0.001] and PFC [R2 = 0.294, p < 0.001], and worse performance on executive function and memory factors. Autotaxin was associated with less cortical thickness in PFC areas like orbitofrontal cortex [R2 = 0.272, p < 0.001], as well as levels of total tau, p-tau181, and total tau/Aβ1-42. CONCLUSIONS These results are comparable to previous reports using insulin resistance. CSF autotaxin may be a useful dysmetabolism biomarker for examining AD outcomes and risk.
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Affiliation(s)
- Kelsey E McLimans
- Department of Food Science and Human Nutrition, Iowa State University, Ames, IA, USA
| | - Auriel A Willette
- Department of Food Science and Human Nutrition, Iowa State University, Ames, IA, USA.,Department of Psychology, Iowa State University, Ames, IA, USA.,Department of Neurology, University of Iowa, Iowa City, IA, USA.,Aging Mind and Brain Initiative, University of Iowa, Iowa City, IA, USA
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Webb JL, Stitz K, Collazo‐Martinez A, Willette AA. [P3–237]: NEUROPEPTIDE YY PLASMA CONCENTRATIONS IN ALZHEIMER's DISEASE. Alzheimers Dement 2017. [DOI: 10.1016/j.jalz.2017.06.1450] [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: 10/18/2022]
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Willette AA, Webb JL, Dantzer R. [O1–01–01]: NEUROINFLAMMATION, DEPRESSION AND ALZHEIMER's DISEASE: INSIGHTS FROM THE KYNURENINE PATHWAY. Alzheimers Dement 2017. [DOI: 10.1016/j.jalz.2017.07.033] [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: 10/18/2022]
Affiliation(s)
| | - Joseph L. Webb
- Iowa State UniversityAmesIAUSA
- University of Texas MD Anderson Cancer CenterHoustonTXUSA
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McLimans KE, Webb JL, Willette AA. [P3–238]: PERIPHERAL VERSUS CENTRAL INDEX OF METABOLIC DYSFUNCTION AND ASSOCIATIONS WITH CLINICAL AND PATHOLOGICAL OUTCOMES IN ALZHEIMER's DISEASE. Alzheimers Dement 2017. [DOI: 10.1016/j.jalz.2017.06.1451] [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: 10/18/2022]
Affiliation(s)
| | | | - Auriel A. Willette
- Iowa State UniversityAmesIAUSA
- National Institute on Aging/National Institutes of Health (NIA/NIH)BaltimoreMDUSA
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Klinedinst BS, Willette AA, Maitra R. [P4–229]: METHOD OF MULTIVARIATE TIME‐DERIVATIVES: MODELING NEURAL DEGENERATION AND ITS ETIOLOGIES. Alzheimers Dement 2017. [DOI: 10.1016/j.jalz.2017.06.2097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Willette AA, Webb JL, Lutz MW, Bendlin BB, Wennberg AM, Oh JM, Roses A, Koscik RL, Hermann BP, Dowling NM, Asthana S, Johnson SC. Family history and TOMM40 '523 interactive associations with memory in middle-aged and Alzheimer's disease cohorts. Alzheimers Dement 2017; 13:1217-1225. [PMID: 28549947 DOI: 10.1016/j.jalz.2017.03.009] [Citation(s) in RCA: 7] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2016] [Revised: 01/24/2017] [Accepted: 03/25/2017] [Indexed: 10/19/2022]
Abstract
INTRODUCTION Family history (FH) of Alzheimer's disease (AD) affects mitochondrial function and may modulate effects of translocase of the outer mitochondrial membrane 40 kDa (TOMM40) rs10524523 ('523) poly-T length on memory decline. METHODS For 912 nonapolipoprotein ε4 middle-aged adults and 365 aged adults across the AD spectrum, linear mixed models gauged FH and TOMM40 '523 interactions on memory and global cognition between baseline and up to 10 years later. A cerebrospinal fluid mitochondrial function biomarker was also assessed. RESULTS For FH negative participants, gene-dose preservation of memory and global cognition was seen for "very long" versus "short" carriers. For FH positive, an opposite gene-dose decline was seen for very long versus short carriers. Maternal FH was a stronger predictor in aged, but not middle-aged, participants. Similar gene-dose effects were seen for the mitochondrial biomarker aspartate aminotransferase. DISCUSSION These results may clarify conflicting findings on TOMM40 poly-T length and AD-related decline.
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Affiliation(s)
- Auriel A Willette
- Department of Food Science and Human Nutrition, Iowa State University, Ames, Iowa, USA; Department of Psychology, Iowa State University, Ames, Iowa, USA; Department of Neurology, University of Iowa, Iowa City, Iowa, USA.
| | - Joseph L Webb
- Department of Food Science and Human Nutrition, Iowa State University, Ames, Iowa, USA
| | - Michael W Lutz
- Bryan Alzheimer's Disease Research Center, Duke University, Durham, North Carolina, USA; Zinfandel Pharmaceuticals, Chapel Hill, North Carolina, USA
| | - Barbara B Bendlin
- Geriatric Research Education and Clinical Center, Wm. S. Middleton Veterans Hospital, Madison, Wisconsin, USA; Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA
| | - Alexandra M Wennberg
- Department of Health Sciences Research, Mayo Clinic (Rochester), Rochester, Minnesota, USA
| | - Jennifer M Oh
- Geriatric Research Education and Clinical Center, Wm. S. Middleton Veterans Hospital, Madison, Wisconsin, USA; Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA
| | - Allen Roses
- Bryan Alzheimer's Disease Research Center, Duke University, Durham, North Carolina, USA; Zinfandel Pharmaceuticals, Chapel Hill, North Carolina, USA
| | - Rebecca L Koscik
- Wisconsin Alzheimer's Institute, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA
| | - Bruce P Hermann
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA; Wisconsin Alzheimer's Institute, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA
| | - N Maritza Dowling
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA
| | - Sanjay Asthana
- Geriatric Research Education and Clinical Center, Wm. S. Middleton Veterans Hospital, Madison, Wisconsin, USA; Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA; Wisconsin Alzheimer's Institute, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA
| | - Sterling C Johnson
- Geriatric Research Education and Clinical Center, Wm. S. Middleton Veterans Hospital, Madison, Wisconsin, USA; Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA; Wisconsin Alzheimer's Institute, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA
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Swanson A, Willette AA. Neuronal Pentraxin 2 predicts medial temporal atrophy and memory decline across the Alzheimer's disease spectrum. Brain Behav Immun 2016; 58:201-208. [PMID: 27444967 PMCID: PMC5349324 DOI: 10.1016/j.bbi.2016.07.148] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2016] [Revised: 06/29/2016] [Accepted: 07/16/2016] [Indexed: 12/21/2022] Open
Abstract
Chronic neuroinflammation is thought to potentiate medial temporal lobe (MTL) atrophy and memory decline in Alzheimer's disease (AD). It has become increasingly important to find novel immunological biomarkers of neuroinflammation or other processes that can track AD development and progression. Our study explored which pro- or anti-inflammatory cerebrospinal fluid (CSF) biomarkers best predicted AD neuropathology over 24months. Using Alzheimer's Disease Neuroimaging Initiative data (N=285), CSF inflammatory biomarkers from mass spectrometry and multiplex panels were screened using stepwise regression, followed up with 50%/50% model retests for validation. Neuronal Pentraxin 2 (NPTX2) and Chitinase-3-like-protein-1 (C3LP1), biomarkers of glutamatergic synaptic plasticity and microglial activation respectively, were the only consistently significant biomarkers selected. Once these biomarkers were selected, linear mixed models were used to analyze their baseline and longitudinal associations with bilateral MTL volume, memory decline, global cognition, and established AD biomarkers including CSF amyloid and tau. Higher baseline NPTX2 levels corresponded to less MTL atrophy [R2=0.287, p<0.001] and substantially less memory decline [R2=0.560, p<0.001] by month 24. Conversely, higher C3LP1 modestly predicted more MTL atrophy [R2=0.083, p<0.001], yet did not significantly track memory decline over time. In conclusion, NPTX2 is a novel pro-inflammatory cytokine that predicts AD-related outcomes better than any immunological biomarker to date, substantially accounting for brain atrophy and especially memory decline. C3LP1 as the microglial biomarker, by contrast, performed modestly and did not predict longitudinal memory decline. This research may advance the current understanding of AD etiopathogenesis, while expanding early diagnostic techniques through the use of novel pro-inflammatory biomarkers, such as NPTX2. Future studies should also see if NPTX2 causally affects MTL morphometry and memory performance.
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Affiliation(s)
- Ashley Swanson
- Department of Food Science and Human Nutrition, Iowa State University, Ames, IA
| | - AA Willette
- Department of Food Science and Human Nutrition, Iowa State University, Ames, IA,Department of Psychology, Iowa State University, Ames, IA,Aging Mind and Brain Institute, University of Iowa, Iowa City, IA
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Klinedinst BS, Webb JL, Cerna J, Willette AA. P1‐328: Insulin Resistance and Longitudinal Associations with Temporal Atrophy Across The Alzheimer's Disease Spectrum. Alzheimers Dement 2016. [DOI: 10.1016/j.jalz.2016.06.1079] [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: 10/20/2022]
Affiliation(s)
| | | | | | - Auriel A. Willette
- Iowa State UniversityAmesIA USA
- National Institute on Aging/National Institutes of Health (NIA/NIH)BaltimoreMD USA
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Willette AA, Webb JL, Lutz MW, Wennberg AM, Roses AD, Johnson SC, Bendlin BB. P2‐075: Alzheimer's Disease Family History Modulates Effects of '523 TOMM40 on Memory Decline and Medial Temporal Pathology. Alzheimers Dement 2016. [DOI: 10.1016/j.jalz.2016.06.1280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
| | | | | | | | | | - Sterling C. Johnson
- Geriatric Research Education and Clinical Center, Wm. S. Middleton Veterans HospitalMadisonWI USA
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public HealthMadisonWI USA
| | - Barbara B. Bendlin
- Geriatric Research Education and Clinical Center, Wm. S. Middleton Veterans HospitalMadisonWI USA
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public HealthMadisonWI USA
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McLimans KE, Willette AA. P2‐350: Alzheimer's Disease Outcomes and Altered Glucose Metabolism Linked with CSF Biomarker Autotaxin. Alzheimers Dement 2016. [DOI: 10.1016/j.jalz.2016.06.1477] [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: 10/20/2022]
Affiliation(s)
| | - Auriel A. Willette
- Iowa State UniversityAmesIA USA
- National Institute on Aging/National Institutes of Health (NIA/NIH)BaltimoreMD USA
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Webb JL, Lutz MW, Wennberg AM, Willette AA. P3‐079: Alzheimer's Disease Family History Modifies Tomm40 Effects on Vascular Risk Factors and Neurovascular Pathology. Alzheimers Dement 2016. [DOI: 10.1016/j.jalz.2016.06.1738] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Affiliation(s)
| | | | | | - Auriel A. Willette
- Iowa State UniversityAmesIA USA
- National Institute on Aging/National Institutes of Health (NIA/NIH)BaltimoreMD USA
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Affiliation(s)
| | - Auriel A. Willette
- Iowa State UniversityAmesIA USA
- National Institute on Aging/National Institutes of Health (NIA/NIH)BaltimoreMD USA
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Willette AA, Bendlin BB. Confounders Regarding the Association of Insulin Resistance and Alzheimer Disease--Reply. JAMA Neurol 2016; 73:240-1. [PMID: 26720090 DOI: 10.1001/jamaneurol.2015.3986] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
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Willette AA, Bendlin BB, Starks EJ, Birdsill AC, Johnson SC, Christian BT, Okonkwo OC, La Rue A, Hermann BP, Koscik RL, Jonaitis EM, Sager MA, Asthana S. Association of Insulin Resistance With Cerebral Glucose Uptake in Late Middle-Aged Adults at Risk for Alzheimer Disease. JAMA Neurol 2015. [PMID: 26214150 DOI: 10.1001/jamaneurol.2015.0613] [Citation(s) in RCA: 242] [Impact Index Per Article: 26.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
IMPORTANCE Converging evidence suggests that Alzheimer disease (AD) involves insulin signaling impairment. Patients with AD and individuals at risk for AD show reduced glucose metabolism, as indexed by fludeoxyglucose F 18-labeled positron emission tomography (FDG-PET). OBJECTIVES To determine whether insulin resistance predicts AD-like global and regional glucose metabolism deficits in late middle-aged participants at risk for AD and to examine whether insulin resistance-predicted variation in regional glucose metabolism is associated with worse cognitive performance. DESIGN, SETTING, AND PARTICIPANTS This population-based, cross-sectional study included 150 cognitively normal, late middle-aged (mean [SD] age, 60.7 [5.8] years) adults from the Wisconsin Registry for Alzheimer's Prevention (WRAP) study, a general community sample enriched for AD parental history. Participants underwent cognitive testing, fasting blood draw, and FDG-PET at baseline. We used the homeostatic model assessment of peripheral insulin resistance (HOMA-IR). Regression analysis tested the statistical effect of HOMA-IR on global glucose metabolism. We used a voxelwise analysis to determine whether HOMA-IR predicted regional glucose metabolism. Finally, predicted variation in regional glucose metabolism was regressed against cognitive factors. Covariates included age, sex, body mass index, apolipoprotein E ε4 genotype, AD parental history status, and a reference region used to normalize regional uptake. MAIN OUTCOMES AND MEASURES Regional glucose uptake determined using FDG-PET and neuropsychological factors. RESULTS Higher HOMA-IR was associated with lower global glucose metabolism (β = -0.29; P < .01) and lower regional glucose metabolism across large portions of the frontal, lateral parietal, lateral temporal, and medial temporal lobes (P < .05, familywise error corrected). The association was especially robust in the left medial temporal lobe (R2 = 0.178). Lower glucose metabolism in the left medial temporal lobe predicted by HOMA-IR was significantly related to worse performance on the immediate memory (β = 0.317; t148 = 4.08; P < .001) and delayed memory (β = 0.305; t148 = 3.895; P < .001) factor scores. CONCLUSIONS AND RELEVANCE Our results show that insulin resistance, a prevalent and increasingly common condition in developed countries, is associated with significantly lower regional cerebral glucose metabolism, which in turn may predict worse memory performance. Midlife may be a critical period for initiating treatments to lower peripheral insulin resistance to maintain neural metabolism and cognitive function.
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Affiliation(s)
- Auriel A Willette
- Department of Food Science and Human Nutrition, Iowa State University, Ames2Neuroscience Interdepartmental Program, Iowa State University, Ames
| | - Barbara B Bendlin
- Clinical Science Center, Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison4Wisconsin Alzheimer's Institute, University of Wisconsin School of Medicine and Public Health, Madison
| | - Erika J Starks
- Clinical Science Center, Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison
| | - Alex C Birdsill
- Clinical Science Center, Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison
| | - Sterling C Johnson
- Clinical Science Center, Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison4Wisconsin Alzheimer's Institute, University of Wisconsin School of Medicine and Public Health, Madison5Geriatric
| | - Bradley T Christian
- Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison
| | - Ozioma C Okonkwo
- Clinical Science Center, Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison4Wisconsin Alzheimer's Institute, University of Wisconsin School of Medicine and Public Health, Madison
| | - Asenath La Rue
- Wisconsin Alzheimer's Institute, University of Wisconsin School of Medicine and Public Health, Madison
| | - Bruce P Hermann
- Wisconsin Alzheimer's Institute, University of Wisconsin School of Medicine and Public Health, Madison
| | - Rebecca L Koscik
- Wisconsin Alzheimer's Institute, University of Wisconsin School of Medicine and Public Health, Madison
| | - Erin M Jonaitis
- Wisconsin Alzheimer's Institute, University of Wisconsin School of Medicine and Public Health, Madison
| | - Mark A Sager
- Wisconsin Alzheimer's Institute, University of Wisconsin School of Medicine and Public Health, Madison
| | - Sanjay Asthana
- Clinical Science Center, Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison5Geriatric Research Education and Clinical Center, William S. Middleton Memorial Veterans Hospital, Madison, Wisco
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