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Arrotta K, Ferguson L, Thompson N, Smuk V, Najm IM, Leu C, Lal D, Busch RM. Polygenic burden and its association with baseline cognitive function and postoperative cognitive outcome in temporal lobe epilepsy. Epilepsy Behav 2024; 153:109692. [PMID: 38394790 DOI: 10.1016/j.yebeh.2024.109692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Revised: 01/29/2024] [Accepted: 02/10/2024] [Indexed: 02/25/2024]
Abstract
OBJECTIVE Demographic and disease factors are associated with cognitive deficits and postoperative cognitive declines in adults with pharmacoresistant temporal lobe epilepsy (TLE), but the role of genetic factors in cognition in TLE is not well understood. Polygenic scores (PGS) for neurological and neuropsychiatric disorders and IQ have been associated with cognition in patient and healthy populations. In this exploratory study, we examined the relationship between PGS for Alzheimer's disease (AD), depression, and IQ and cognitive outcomes in adults with TLE. METHODS 202 adults with pharmacoresistant TLE had genotyping and completed neuropsychological evaluations as part of a presurgical work-up. A subset (n = 116) underwent temporal lobe resection and returned for postoperative cognitive testing. Logistic regression was used to determine if PGS for AD, depression, and IQ predicted baseline domain-specific cognitive function and cognitive phenotypes as well as postoperative language and memory decline. RESULTS No significant findings survived correction for multiple comparisons. Prior to correction, higher PGS for AD and depression (i.e., increased genetic risk for the disorder), but lower PGS for IQ (i.e., decreased genetic likelihood of high IQ) appeared possibly associated with baseline cognitive impairment in TLE. In comparison, higher PGS for AD and IQ appeared as possible risk factors for cognitive decline following temporal lobectomy, while the possible relationship between PGS for depression and post-operative cognitive outcome was mixed. SIGNIFICANCE We did not observe any relationships of large effect between PGS and cognitive function or postsurgical outcome; however, results highlight several promising trends in the data that warrant future investigation in larger samples better powered to detect small genetic effects.
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Affiliation(s)
- Kayela Arrotta
- Epilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, OH, USA; Departments of Neurology, Neurological Institute, Cleveland Clinic, Cleveland, OH, USA.
| | - Lisa Ferguson
- Epilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, OH, USA.
| | - Nicolas Thompson
- Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA.
| | - Victoria Smuk
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA.
| | - Imad M Najm
- Epilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, OH, USA; Departments of Neurology, Neurological Institute, Cleveland Clinic, Cleveland, OH, USA.
| | - Costin Leu
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA; Department of Clinical and Experimental Epilepsy, Institute of Neurology, University College London, London, UK.
| | - Dennis Lal
- Epilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, OH, USA; Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA; Stanley Center for Psychiatric Research, Broad Institute of Harvard and M.I.T., Cambridge, MA, USA.
| | - Robyn M Busch
- Epilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, OH, USA; Departments of Neurology, Neurological Institute, Cleveland Clinic, Cleveland, OH, USA.
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Najar J, Thorvaldsson V, Kern S, Skoog J, Waern M, Zetterberg H, Blennow K, Skoog I, Zettergren A. Polygenic risk scores for Alzheimer's disease in relation to cognitive change: A representative sample from the general population followed over 16 years. Neurobiol Dis 2023; 189:106357. [PMID: 37977433 DOI: 10.1016/j.nbd.2023.106357] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Revised: 09/22/2023] [Accepted: 11/14/2023] [Indexed: 11/19/2023] Open
Abstract
BACKGROUND Polygenic risk scores for Alzheimer's disease (AD-PRSs) have been associated with cognition. However, few studies have examined the effect of AD-PRS beyond the APOE gene, and the influence of genetic variants related to level of cognitive ability (COG-PRS) on cognitive performance over time in the general older population. METHOD A population-based sample of 965 individuals born in 1930, with genetic and standardized cognitive data on six psychometric tests (Thurstone's picture memory, immediate recall of 10 words, Block design, word fluency, figure identification, delayed recall of 12 items), were examined at age 70, 75, 79, and 85 years. Non-APOE AD-PRSs and COG-PRSs (P < 5e-8, P < 1e-5, P < 1e-3, P < 1e-1) were generated from recent genome-wide association studies. Linear mixed effect models with random intercepts and slope were used to analyze the effect of APOE ε4 allele, AD-PRSs, and COG-PRSs, on cognitive performance and rate of change. Analyses were repeated in samples excluding dementia. RESULTS APOE ε4 and AD-PRS predicted change in cognitive performance (APOE ε4*age: β = -0.03, P < 0.0001 and AD-PRS *age: β = -0.01, P = 0.02). The results remained similar in the sample excluding those with dementia. COG-PRS predicted level of cognitive performance, while APOE ε4 and AD-PRS did not. COG-PRSs did not predict change in cognitive performance. CONCLUSION We found that genetic predisposition of AD predicted cognitive decline among 70-year-olds followed over 16 years, regardless of dementia status, while polygenic risk for general cognitive performance did not.
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Affiliation(s)
- Jenna Najar
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Sweden; Region Västra Götaland, Sahlgrenska University Hospital, Psychiatry, Cognition and Old Age Psychiatry Clinic, Gothenburg, Sweden; Department of Human Genetics, Genomics of Neurodegenerative Diseases and Aging at the Amsterdam University Medical Center, Amsterdam, the Netherlands.
| | - Valgeir Thorvaldsson
- Department of Psychology, and Centre for Ageing and Health (AGECAP), at the University of Gothenburg, Sweden.
| | - Silke Kern
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Sweden; Region Västra Götaland, Sahlgrenska University Hospital, Psychiatry, Cognition and Old Age Psychiatry Clinic, Gothenburg, Sweden.
| | - Johan Skoog
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Sweden.
| | - Margda Waern
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Sweden; Region Västra Götaland, Sahlgrenska University Hospital, Psychosis Clinic, Gothenburg, Sweden.
| | - Henrik Zetterberg
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, United Kingdom; Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden; Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong, China; Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA.
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden.
| | - Ingmar Skoog
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Sweden; Region Västra Götaland, Sahlgrenska University Hospital, Psychiatry, Cognition and Old Age Psychiatry Clinic, Gothenburg, Sweden.
| | - Anna Zettergren
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Sweden.
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Ikonnikova A, Morozova A, Antonova O, Ochneva A, Fedoseeva E, Abramova O, Emelyanova M, Filippova M, Morozova I, Zorkina Y, Syunyakov T, Andryushchenko A, Andreuyk D, Kostyuk G, Gryadunov D. Evaluation of the Polygenic Risk Score for Alzheimer's Disease in Russian Patients with Dementia Using a Low-Density Hydrogel Oligonucleotide Microarray. Int J Mol Sci 2023; 24:14765. [PMID: 37834213 PMCID: PMC10572681 DOI: 10.3390/ijms241914765] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Revised: 09/25/2023] [Accepted: 09/28/2023] [Indexed: 10/15/2023] Open
Abstract
The polygenic risk score (PRS), together with the ɛ4 allele of the APOE gene (APOE-ɛ4), has shown high potential for Alzheimer's disease (AD) risk prediction. The aim of this study was to validate the model of polygenic risk in Russian patients with dementia. A microarray-based assay was developed to identify 21 markers of polygenic risk and ɛ alleles of the APOE gene. This case-control study included 348 dementia patients and 519 cognitively normal volunteers. Cerebrospinal fluid (CSF) amyloid-β (Aβ) and tau protein levels were assessed in 57 dementia patients. PRS and APOE-ɛ4 were significant genetic risk factors for dementia. Adjusted for APOE-ɛ4, individuals with PRS corresponding to the fourth quartile had an increased risk of dementia compared to the first quartile (OR 1.85; p-value 0.002). The area under the curve (AUC) was 0.559 for the PRS model only, and the inclusion of APOE-ɛ4 improved the AUC to 0.604. PRS was positively correlated with tTau and pTau181 and inversely correlated with Aβ42/Aβ40 ratio. Carriers of APOE-ɛ4 had higher levels of tTau and pTau181 and lower levels of Aβ42 and Aβ42/Aβ40. The developed assay can be part of a strategy for assessing individuals for AD risk, with the purpose of assisting primary preventive interventions.
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Affiliation(s)
- Anna Ikonnikova
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia; (O.A.); (E.F.); (M.E.); (M.F.); (D.G.)
| | - Anna Morozova
- Mental-Health Clinic No. 1 Named after N.A. Alekseev, Zagorodnoe Highway 2, 115191 Moscow, Russia; (A.M.); (A.O.); (O.A.); (I.M.); (Y.Z.); (T.S.); (A.A.); (D.A.); (G.K.)
- Department of Basic and Applied Neurobiology, V. Serbsky Federal Medical Research Centre of Psychiatry and Narcology, Kropotkinsky per. 23, 119034 Moscow, Russia
| | - Olga Antonova
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia; (O.A.); (E.F.); (M.E.); (M.F.); (D.G.)
| | - Alexandra Ochneva
- Mental-Health Clinic No. 1 Named after N.A. Alekseev, Zagorodnoe Highway 2, 115191 Moscow, Russia; (A.M.); (A.O.); (O.A.); (I.M.); (Y.Z.); (T.S.); (A.A.); (D.A.); (G.K.)
| | - Elena Fedoseeva
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia; (O.A.); (E.F.); (M.E.); (M.F.); (D.G.)
| | - Olga Abramova
- Mental-Health Clinic No. 1 Named after N.A. Alekseev, Zagorodnoe Highway 2, 115191 Moscow, Russia; (A.M.); (A.O.); (O.A.); (I.M.); (Y.Z.); (T.S.); (A.A.); (D.A.); (G.K.)
- Department of Basic and Applied Neurobiology, V. Serbsky Federal Medical Research Centre of Psychiatry and Narcology, Kropotkinsky per. 23, 119034 Moscow, Russia
| | - Marina Emelyanova
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia; (O.A.); (E.F.); (M.E.); (M.F.); (D.G.)
| | - Marina Filippova
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia; (O.A.); (E.F.); (M.E.); (M.F.); (D.G.)
| | - Irina Morozova
- Mental-Health Clinic No. 1 Named after N.A. Alekseev, Zagorodnoe Highway 2, 115191 Moscow, Russia; (A.M.); (A.O.); (O.A.); (I.M.); (Y.Z.); (T.S.); (A.A.); (D.A.); (G.K.)
| | - Yana Zorkina
- Mental-Health Clinic No. 1 Named after N.A. Alekseev, Zagorodnoe Highway 2, 115191 Moscow, Russia; (A.M.); (A.O.); (O.A.); (I.M.); (Y.Z.); (T.S.); (A.A.); (D.A.); (G.K.)
- Department of Basic and Applied Neurobiology, V. Serbsky Federal Medical Research Centre of Psychiatry and Narcology, Kropotkinsky per. 23, 119034 Moscow, Russia
| | - Timur Syunyakov
- Mental-Health Clinic No. 1 Named after N.A. Alekseev, Zagorodnoe Highway 2, 115191 Moscow, Russia; (A.M.); (A.O.); (O.A.); (I.M.); (Y.Z.); (T.S.); (A.A.); (D.A.); (G.K.)
- International Centre for Education and Research in Neuropsychiatry (ICERN), Samara State Medical University, 443016 Samara, Russia
| | - Alisa Andryushchenko
- Mental-Health Clinic No. 1 Named after N.A. Alekseev, Zagorodnoe Highway 2, 115191 Moscow, Russia; (A.M.); (A.O.); (O.A.); (I.M.); (Y.Z.); (T.S.); (A.A.); (D.A.); (G.K.)
| | - Denis Andreuyk
- Mental-Health Clinic No. 1 Named after N.A. Alekseev, Zagorodnoe Highway 2, 115191 Moscow, Russia; (A.M.); (A.O.); (O.A.); (I.M.); (Y.Z.); (T.S.); (A.A.); (D.A.); (G.K.)
- Economy Faculty, M.V. Lomonosov Moscow State University, 119991 Moscow, Russia
| | - Georgy Kostyuk
- Mental-Health Clinic No. 1 Named after N.A. Alekseev, Zagorodnoe Highway 2, 115191 Moscow, Russia; (A.M.); (A.O.); (O.A.); (I.M.); (Y.Z.); (T.S.); (A.A.); (D.A.); (G.K.)
- Department of Psychiatry, Federal State Budgetary Educational Institution of Higher Education “Moscow State University of Food Production”, Volokolamskoye Highway 11, 125080 Moscow, Russia
| | - Dmitry Gryadunov
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia; (O.A.); (E.F.); (M.E.); (M.F.); (D.G.)
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Pettigrew C, Nazarovs J, Soldan A, Singh V, Wang J, Hohman T, Dumitrescu L, Libby J, Kunkle B, Gross AL, Johnson S, Lu Q, Engelman C, Masters CL, Maruff P, Laws SM, Morris JC, Hassenstab J, Cruchaga C, Resnick SM, Kitner-Triolo MH, An Y, Albert M. Alzheimer's disease genetic risk and cognitive reserve in relationship to long-term cognitive trajectories among cognitively normal individuals. Alzheimers Res Ther 2023; 15:66. [PMID: 36978190 PMCID: PMC10045505 DOI: 10.1186/s13195-023-01206-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Accepted: 03/12/2023] [Indexed: 03/30/2023]
Abstract
BACKGROUND Both Alzheimer's disease (AD) genetic risk factors and indices of cognitive reserve (CR) influence risk of cognitive decline, but it remains unclear whether they interact. This study examined whether a CR index score modifies the relationship between AD genetic risk factors and long-term cognitive trajectories in a large sample of individuals with normal cognition. METHODS Analyses used data from the Preclinical AD Consortium, including harmonized data from 5 longitudinal cohort studies. Participants were cognitively normal at baseline (M baseline age = 64 years, 59% female) and underwent 10 years of follow-up, on average. AD genetic risk was measured by (i) apolipoprotein-E (APOE) genetic status (APOE-ε2 and APOE-ε4 vs. APOE-ε3; N = 1819) and (ii) AD polygenic risk scores (AD-PRS; N = 1175). A CR index was calculated by combining years of education and literacy scores. Longitudinal cognitive performance was measured by harmonized factor scores for global cognition, episodic memory, and executive function. RESULTS In mixed-effects models, higher CR index scores were associated with better baseline cognitive performance for all cognitive outcomes. APOE-ε4 genotype and AD-PRS that included the APOE region (AD-PRSAPOE) were associated with declines in all cognitive domains, whereas AD-PRS that excluded the APOE region (AD-PRSw/oAPOE) was associated with declines in executive function and global cognition, but not memory. There were significant 3-way CR index score × APOE-ε4 × time interactions for the global (p = 0.04, effect size = 0.16) and memory scores (p = 0.01, effect size = 0.22), indicating the negative effect of APOE-ε4 genotype on global and episodic memory score change was attenuated among individuals with higher CR index scores. In contrast, levels of CR did not attenuate APOE-ε4-related declines in executive function or declines associated with higher AD-PRS. APOE-ε2 genotype was unrelated to cognition. CONCLUSIONS These results suggest that APOE-ε4 and non-APOE-ε4 AD polygenic risk are independently associated with global cognitive and executive function declines among individuals with normal cognition at baseline, but only APOE-ε4 is associated with declines in episodic memory. Importantly, higher levels of CR may mitigate APOE-ε4-related declines in some cognitive domains. Future research is needed to address study limitations, including generalizability due to cohort demographic characteristics.
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Affiliation(s)
- Corinne Pettigrew
- Johns Hopkins University School of Medicine, 1600 McElderry St, Baltimore, MD, 21205, USA.
| | - Jurijs Nazarovs
- University of Wisconsin-Madison School of Medicine and Public Health, 750 Highland Ave, Madison, WI, 53726, USA
| | - Anja Soldan
- Johns Hopkins University School of Medicine, 1600 McElderry St, Baltimore, MD, 21205, USA
| | - Vikas Singh
- University of Wisconsin-Madison School of Medicine and Public Health, 750 Highland Ave, Madison, WI, 53726, USA
| | - Jiangxia Wang
- Johns Hopkins Bloomberg School of Public Health, 615 N Wolfe St, Baltimore, MD, 21205, USA
| | - Timothy Hohman
- Vanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical Center, 1207 17th Ave South, Nashville, TN, 37212, USA
| | - Logan Dumitrescu
- Vanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical Center, 1207 17th Ave South, Nashville, TN, 37212, USA
| | - Julia Libby
- Vanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical Center, 1207 17th Ave South, Nashville, TN, 37212, USA
| | - Brian Kunkle
- John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Alden L Gross
- Johns Hopkins Bloomberg School of Public Health, 615 N Wolfe St, Baltimore, MD, 21205, USA
| | - Sterling Johnson
- University of Wisconsin-Madison School of Medicine and Public Health, 750 Highland Ave, Madison, WI, 53726, USA
| | - Qiongshi Lu
- University of Wisconsin-Madison School of Medicine and Public Health, 750 Highland Ave, Madison, WI, 53726, USA
| | - Corinne Engelman
- University of Wisconsin-Madison School of Medicine and Public Health, 750 Highland Ave, Madison, WI, 53726, USA
| | - Colin L Masters
- The Florey Institute, University of Melbourne, 30 Royal Parade, Parkville, VIC, 3052, Australia
| | - Paul Maruff
- The Florey Institute, University of Melbourne, 30 Royal Parade, Parkville, VIC, 3052, Australia
| | - Simon M Laws
- Centre for Precision Health and Collaborative Genomics and Translation Group, Edith Cowan University, 270 Jundaloop Drive, Jundaloop, WA, 6027, Australia
- Curtin Medical School, Curtin University, Kent Street, Bentley, WA, 6102, Australia
| | - John C Morris
- Washington University School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USA
| | - Jason Hassenstab
- Washington University School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USA
| | - Carlos Cruchaga
- Washington University School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USA
| | - Susan M Resnick
- National Institute on Aging Intramural Research Program, 251 Bayview Blvd, Baltimore, MD, 21224, USA
| | - Melissa H Kitner-Triolo
- National Institute on Aging Intramural Research Program, 251 Bayview Blvd, Baltimore, MD, 21224, USA
| | - Yang An
- National Institute on Aging Intramural Research Program, 251 Bayview Blvd, Baltimore, MD, 21224, USA
| | - Marilyn Albert
- Johns Hopkins University School of Medicine, 1600 McElderry St, Baltimore, MD, 21205, USA
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5
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Tomassen J, den Braber A, van der Lee SJ, Reus LM, Konijnenberg E, Carter SF, Yaqub M, van Berckel BN, Collij LE, Boomsma DI, de Geus EJ, Scheltens P, Herholz K, Tijms BM, Visser PJ. Amyloid-β and APOE genotype predict memory decline in cognitively unimpaired older individuals independently of Alzheimer's disease polygenic risk score. BMC Neurol 2022; 22:484. [PMID: 36522743 PMCID: PMC9753236 DOI: 10.1186/s12883-022-02925-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Revised: 10/14/2022] [Accepted: 10/19/2022] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND What combination of risk factors for Alzheimer's disease (AD) are most predictive of cognitive decline in cognitively unimpaired individuals remains largely unclear. We studied associations between APOE genotype, AD-Polygenic Risk Scores (AD-PRS), amyloid-β pathology and decline in cognitive functioning over time in a large sample of cognitively unimpaired older individuals. METHODS We included 276 cognitively unimpaired older individuals (75 ± 10 years, 63% female) from the EMIF-AD PreclinAD cohort. An AD-PRS was calculated including 83 genome-wide significant variants. The APOE gene was not included in the PRS and was analyzed separately. Baseline amyloid-β status was assessed by visual read of [18F]flutemetamol-PET standardized uptake value images. At baseline and follow-up (2.0 ± 0.4 years), the cognitive domains of memory, attention, executive function, and language were measured. We used generalized estimating equations corrected for age, sex and center to examine associations between APOE genotype and AD-PRS with amyloid-β status. Linear mixed models corrected for age, sex, center and education were used to examine associations between APOE genotype, AD-PRS and amyloid-β status, and their interaction on changes in cognitive functioning over time. RESULTS Fifty-two participants (19%) had abnormal amyloid-β, and 84 participants (31%) carried at least one APOE ε4 allele. APOE genotype and AD-PRS were both associated with abnormal amyloid-β status. Increasingly more risk-full APOE genotype, a high AD-PRS and an abnormal amyloid-β status were associated with steeper decline in memory functioning in separate models (all p ≤ 0.02). A model including 4-way interaction term (APOE×AD-PRS×amyloid-β×time) was not significant. When modelled together, both APOE genotype and AD-PRS predicted steeper decline in memory functioning (APOE β(SE)=-0.05(0.02); AD-PRS β(SE)=-0.04(0.01)). Additionally, when modelled together, both amyloid-β status and AD-PRS predicted a steeper decline in memory functioning (amyloid-β β(SE)=-0.07(0.04); AD-PRS β(SE)=-0.04(0.01)). Modelling both APOE genotype and amyloid-β status, we observed an interaction, in which APOE genotype was related to steeper decline in memory and language functioning in amyloid-β abnormal individuals only (β(SE)=-0.13(0.06); β(SE)=-0.22(0.07), respectively). CONCLUSION Our results suggest that APOE genotype is related to steeper decline in memory and language functioning in individuals with abnormal amyloid-β only. Furthermore, independent of amyloid-β status other genetic risk variants contribute to memory decline in initially cognitively unimpaired older individuals.
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Affiliation(s)
- Jori Tomassen
- grid.12380.380000 0004 1754 9227Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands ,grid.484519.5Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands ,grid.16872.3a0000 0004 0435 165XAlzheimer Center Amsterdam, Neurology, Amsterdam UMC location VUmc, 1007 MB Amsterdam, PO Box 7057, The Netherlands
| | - Anouk den Braber
- grid.12380.380000 0004 1754 9227Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands ,grid.484519.5Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands ,grid.12380.380000 0004 1754 9227Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Sven J. van der Lee
- grid.12380.380000 0004 1754 9227Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands ,grid.484519.5Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands ,grid.12380.380000 0004 1754 9227Genomics of Neurodegenerative Diseases and Aging, Human Genetics, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
| | - Lianne M. Reus
- grid.12380.380000 0004 1754 9227Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands ,grid.484519.5Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Elles Konijnenberg
- grid.12380.380000 0004 1754 9227Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands ,grid.484519.5Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Stephen F. Carter
- grid.5379.80000000121662407Wolfson Molecular Imaging Centre, Division of Neuroscience and Experimental Psychology, University of Manchester, Manchester, UK ,grid.5335.00000000121885934Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Maqsood Yaqub
- grid.12380.380000 0004 1754 9227Department of Radiology & Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands ,grid.484519.5Amsterdam Neuroscience, Brain Imaging, Amsterdam, The Netherlands
| | - Bart N.M. van Berckel
- grid.12380.380000 0004 1754 9227Department of Radiology & Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands ,grid.484519.5Amsterdam Neuroscience, Brain Imaging, Amsterdam, The Netherlands
| | - Lyduine E. Collij
- grid.12380.380000 0004 1754 9227Department of Radiology & Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands ,grid.484519.5Amsterdam Neuroscience, Brain Imaging, Amsterdam, The Netherlands
| | - Dorret I. Boomsma
- grid.12380.380000 0004 1754 9227Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Eco J.C. de Geus
- grid.12380.380000 0004 1754 9227Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Philip Scheltens
- grid.12380.380000 0004 1754 9227Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands ,grid.484519.5Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Karl Herholz
- grid.5379.80000000121662407Wolfson Molecular Imaging Centre, Division of Neuroscience and Experimental Psychology, University of Manchester, Manchester, UK
| | - Betty M. Tijms
- grid.12380.380000 0004 1754 9227Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands ,grid.484519.5Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Pieter Jelle Visser
- grid.12380.380000 0004 1754 9227Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands ,grid.484519.5Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands ,grid.5012.60000 0001 0481 6099Alzheimer Center Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands ,grid.4714.60000 0004 1937 0626Department of Neurobiology, Care Sciences and Society, Division of Neurogeriatrics, Karolinska Institutet, Stockholm, Sweden
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Kumar A, Janelidze S, Stomrud E, Palmqvist S, Hansson O, Mattsson-Carlgren N. β-Amyloid-Dependent and -Independent Genetic Pathways Regulating CSF Tau Biomarkers in Alzheimer Disease. Neurology 2022; 99:e476-e487. [PMID: 35641311 PMCID: PMC9421595 DOI: 10.1212/wnl.0000000000200605] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Accepted: 03/11/2022] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Abnormal metabolism of β-amyloid (Aβ) and soluble phosphorylated tau (P-tau), as well as neurodegeneration, are key components of Alzheimer disease (AD), but it is unclear how these different processes are related to genetic risk factors for AD. METHODS In the Swedish BioFINDER study, we tested associations between a priori defined polygenic risk scores (PRSs) for AD (excluding single-nucleotide polymorphism [SNP] within the APOE region in the main analysis) and biomarkers in CSF (total tau [T-tau] and P-tau181; Aβ1-38, Aβ1-40, Aβ1-42, and Aβ1-42/1-40; and neurofilament light [NfL]) in cognitively unimpaired (CU) individuals (n = 751), and in patients with mild cognitive impairment (MCI) (n = 212) and AD dementia (n = 150). Results were validated in the Alzheimer's Disease Neuroimaging Initiative data set with 777 individuals (AD = 119, MCI = 442, and CU = 216). RESULTS PRSs with SNPs significant at p < 5e-03 (∼1,742 variants) were associated with higher CSF P-tau181 (β = 0.13, p = 5.6e-05) and T-tau (β = 0.12, p = 4.3e-04). The associations between PRS and tau measures were partly attenuated but remained significant after adjusting for Aβ status. Aβ pathology mediated 37% of the effect of this PRS on tau levels. Aβ-dependent and Aβ-independent subsets of the PRS were identified and characterized. There were also associations between PRSs and CSF Aβ biomarkers with nominal significance, but not when corrected for multiple comparisons. There were no associations between PRSs and CSF NfL. DISCUSSION Genetic pathways implicated in causing AD are related to altered levels of soluble tau through both Aβ-dependent and Aβ-independent mechanisms, which may have relevance for anti-tau drug development.
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Affiliation(s)
- Atul Kumar
- From the Clinical Memory Research Unit (A.K., S.J., E.S., S.P., O.H., N.M.-C.), Department of Clinical Sciences, Lund University, Malmö; Memory Clinic (E.S., S.P., O.H.), Skåne University Hospital, Malmö; Department of Neurology (N.M.-C.), Skåne University Hospital, Lund; and Wallenberg Centre for Molecular Medicine (N.M.-C.), Lund University, Sweden.
| | - Shorena Janelidze
- From the Clinical Memory Research Unit (A.K., S.J., E.S., S.P., O.H., N.M.-C.), Department of Clinical Sciences, Lund University, Malmö; Memory Clinic (E.S., S.P., O.H.), Skåne University Hospital, Malmö; Department of Neurology (N.M.-C.), Skåne University Hospital, Lund; and Wallenberg Centre for Molecular Medicine (N.M.-C.), Lund University, Sweden
| | - Erik Stomrud
- From the Clinical Memory Research Unit (A.K., S.J., E.S., S.P., O.H., N.M.-C.), Department of Clinical Sciences, Lund University, Malmö; Memory Clinic (E.S., S.P., O.H.), Skåne University Hospital, Malmö; Department of Neurology (N.M.-C.), Skåne University Hospital, Lund; and Wallenberg Centre for Molecular Medicine (N.M.-C.), Lund University, Sweden
| | - Sebastian Palmqvist
- From the Clinical Memory Research Unit (A.K., S.J., E.S., S.P., O.H., N.M.-C.), Department of Clinical Sciences, Lund University, Malmö; Memory Clinic (E.S., S.P., O.H.), Skåne University Hospital, Malmö; Department of Neurology (N.M.-C.), Skåne University Hospital, Lund; and Wallenberg Centre for Molecular Medicine (N.M.-C.), Lund University, Sweden
| | - Oskar Hansson
- From the Clinical Memory Research Unit (A.K., S.J., E.S., S.P., O.H., N.M.-C.), Department of Clinical Sciences, Lund University, Malmö; Memory Clinic (E.S., S.P., O.H.), Skåne University Hospital, Malmö; Department of Neurology (N.M.-C.), Skåne University Hospital, Lund; and Wallenberg Centre for Molecular Medicine (N.M.-C.), Lund University, Sweden
| | - Niklas Mattsson-Carlgren
- From the Clinical Memory Research Unit (A.K., S.J., E.S., S.P., O.H., N.M.-C.), Department of Clinical Sciences, Lund University, Malmö; Memory Clinic (E.S., S.P., O.H.), Skåne University Hospital, Malmö; Department of Neurology (N.M.-C.), Skåne University Hospital, Lund; and Wallenberg Centre for Molecular Medicine (N.M.-C.), Lund University, Sweden
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7
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Li Q, Lv X, Jin F, Liao K, Gao L, Xu J. Associations of Polygenic Risk Score for Late-Onset Alzheimer's Disease With Biomarkers. Front Aging Neurosci 2022; 14:849443. [PMID: 35493930 PMCID: PMC9047857 DOI: 10.3389/fnagi.2022.849443] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Accepted: 03/14/2022] [Indexed: 11/25/2022] Open
Abstract
Late-onset Alzheimer's disease (LOAD) is a common irreversible neurodegenerative disease with heterogeneous genetic characteristics. Identifying the biological biomarkers with the potential to predict the conversion from normal controls to LOAD is clinically important for early interventions of LOAD and clinical treatment. The polygenic risk score for LOAD (AD-PRS) has been reported the potential possibility for reliably identifying individuals with risk of developing LOAD recently. To investigate the external phenotype changes resulting from LOAD and the underlying etiology, we summarize the comprehensive associations of AD-PRS with multiple biomarkers, including neuroimaging, cerebrospinal fluid and plasma biomarkers, cardiovascular risk factors, cognitive behavior, and mental health. This systematic review helps improve the understanding of the biomarkers with potential predictive value for LOAD and further optimizing the prediction and accurate treatment of LOAD.
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Affiliation(s)
- Qiaojun Li
- School of Information Engineering, Tianjin University of Commerce, Tianjin, China
- *Correspondence: Qiaojun Li
| | - Xingping Lv
- School of Sciences, Tianjin University of Commerce, Tianjin, China
| | - Fei Jin
- Department of Molecular Imaging, Qingdao Central Hospital, Qingdao University, Qingdao, China
| | - Kun Liao
- School of Sciences, Tianjin University of Commerce, Tianjin, China
| | - Liyuan Gao
- School of Sciences, Tianjin University of Commerce, Tianjin, China
| | - Jiayuan Xu
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
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8
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Erickson KI, Donofry SD, Sewell KR, Brown BM, Stillman CM. Cognitive Aging and the Promise of Physical Activity. Annu Rev Clin Psychol 2022; 18:417-442. [PMID: 35044793 DOI: 10.1146/annurev-clinpsy-072720-014213] [Citation(s) in RCA: 46] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Is the field of cognitive aging irretrievably concerned with decline and deficits, or is it shifting to emphasize the hope of preservation and enhancement of cognitive function in late life? A fragment of an answer comes from research attempting to understand the reasons for individual variability in the extent and rate of cognitive decline. This body of work has created a sense of optimism based on evidence that there are some health behaviors that amplify cognitive performance or mitigate the rate of age-related cognitive decline. In this context, we discuss the role of physical activity on neurocognitive function in late adulthood and summarize how it can be conceptualized as a constructive approach both for the maintenance of cognitive function and as a therapeutic for enhancing or optimizing cognitive function in late life. In this way, physical activity research can be used to shape perceptions of cognitive aging. Expected final online publication date for the Annual Review of Clinical Psychology, Volume 18 is May 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
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Affiliation(s)
- Kirk I Erickson
- Department of Psychology and Center for the Neural Basis of Cognition, University of Pittsburgh, Pittsburgh, Pennsylvania, USA; .,Centre for Healthy Ageing, Health Futures Institute, Murdoch University, Perth, Western Australia, Australia.,PROFITH "PROmoting FITness and Health through physical activity" Research Group, Department of Physical Education and Sports, Faculty of Sport Sciences, University of Granada, Granada, Spain
| | - Shannon D Donofry
- Department of Psychology and Center for the Neural Basis of Cognition, University of Pittsburgh, Pittsburgh, Pennsylvania, USA; .,Psychiatry and Behavioral Health Institute, Allegheny Health Network, Pittsburgh, Pennsylvania
| | - Kelsey R Sewell
- Centre for Healthy Ageing, Health Futures Institute, Murdoch University, Perth, Western Australia, Australia
| | - Belinda M Brown
- Centre for Healthy Ageing, Health Futures Institute, Murdoch University, Perth, Western Australia, Australia
| | - Chelsea M Stillman
- Department of Psychology and Center for the Neural Basis of Cognition, University of Pittsburgh, Pittsburgh, Pennsylvania, USA;
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9
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Sexton CE, Anstey KJ, Baldacci F, Barnum CJ, Barron AM, Blennow K, Brodaty H, Burnham S, Elahi FM, Götz J, Jeon YH, Koronyo-Hamaoui M, Landau SM, Lautenschlager NT, Laws SM, Lipnicki DM, Lu H, Masters CL, Moyle W, Nakamura A, Pasinetti GM, Rao N, Rowe C, Sachdev PS, Schofield PR, Sigurdsson EM, Smith K, Srikanth V, Szoeke C, Tansey MG, Whitmer R, Wilcock D, Wong TY, Bain LJ, Carrillo MC. Alzheimer's disease research progress in Australia: The Alzheimer's Association International Conference Satellite Symposium in Sydney. Alzheimers Dement 2022; 18:178-190. [PMID: 34058063 PMCID: PMC9396711 DOI: 10.1002/alz.12380] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Revised: 04/19/2021] [Accepted: 04/20/2021] [Indexed: 01/03/2023]
Abstract
The Alzheimer's Association International Conference held its sixth Satellite Symposium in Sydney, Australia in 2019, highlighting the leadership of Australian researchers in advancing the understanding of and treatment developments for Alzheimer's disease (AD) and other dementias. This leadership includes the Australian Imaging, Biomarker, and Lifestyle Flagship Study of Ageing (AIBL), which has fueled the identification and development of many biomarkers and novel therapeutics. Two multimodal lifestyle intervention studies have been launched in Australia; and Australian researchers have played leadership roles in other global studies in diverse populations. Australian researchers have also played an instrumental role in efforts to understand mechanisms underlying vascular contributions to cognitive impairment and dementia; and through the Women's Healthy Aging Project have elucidated hormonal and other factors that contribute to the increased risk of AD in women. Alleviating the behavioral and psychological symptoms of dementia has also been a strong research and clinical focus in Australia.
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Affiliation(s)
| | - Kaarin J. Anstey
- University of New South Wales and Neuroscience Research, Sydney, NSW, Australia
| | - Filippo Baldacci
- Unit of Neurology, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
- GRC n° 21, Alzheimer Precision Medicine (APM), AP-HP, Pitié-Salpêtrière Hospital, Sorbonne University, Paris, France
| | | | - Anna M. Barron
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore, Singapore
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Henry Brodaty
- Centre for Healthy Brain Ageing, University of New South Wales, Sydney, NSW, Australia
| | - Samantha Burnham
- CSIRO Health & Biosecurity, The Australian e-Health Research Centre, Parkville, VIC, Australia
| | - Fanny M. Elahi
- Memory and Aging Center, Weill Institute for NeurosciencesUniversity of California San Francisco, San Francisco, California, USA
| | - Jürgen Götz
- Clem Jones Centre for Ageing Dementia Research (CJCADR), Queensland Brain Institute (QBI), The University of Queensland, St Lucia Campus (Brisbane), Brisbane, QLD, Australia
| | - Yun-Hee Jeon
- The University of Sydney, Sydney, NSW, Australia
| | - Maya Koronyo-Hamaoui
- Departments of Neurosurgery and Biomedical Sciences, Maxine Dunitz Neurosurgical Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Susan M. Landau
- University of California Berkeley, Berkeley, California, USA
| | - Nicola T. Lautenschlager
- Academic Unit for Psychiatry of Old Age, Department of Psychiatry, The University of Melbourne, Melbourne, VIC, Australia
- North Western Mental Health, Royal Melbourne Hospital, Melbourne, Australia
| | - Simon M. Laws
- Collaborative Genomics and Translation Group, Edith Cowan University, Joondalup, WA, Australia
| | - Darren M. Lipnicki
- Centre for Healthy Brain Ageing, University of New South Wales, Sydney, NSW, Australia
| | - Hanzhang Lu
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Colin L. Masters
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Wendy Moyle
- Menzies Health Institute Queensland, Griffith University, Griffith, QLD, Australia
| | - Akinori Nakamura
- Department of Biomarker Research, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Giulio Maria Pasinetti
- Department of Neurology, Icahn School of Medicine at Mount Sinai (ISSMS), New York, New York, USA
| | - Naren Rao
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bengaluru, India
| | - Christopher Rowe
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Melbourne, VIC, Australia
- Department of Molecular Imaging, Austin Health, Melbourne, VIC, Australia
| | - Perminder S. Sachdev
- Centre for Healthy Brain Ageing, University of New South Wales, Sydney, NSW, Australia
- Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, NSW, Australia
| | - Peter R. Schofield
- Neuroscience Research Australia, Sydney and School of Medical Sciences, UNSW Sydney, Sydney, NSW, Australia
| | - Einar M. Sigurdsson
- Departments of Neuroscience and Physiology, and Psychiatry, Neuroscience Institute, New York University Grossman School of Medicine, New York, New York, USA
| | - Kate Smith
- Centre for Aboriginal Medical and Dental Health, University of Western Australia, Crawley, WA, Australia
| | - Velandai Srikanth
- Peninsula Clinical School, Central Clinical School, Monash University, Melbourne, VIC, Australia
| | | | - Malú G. Tansey
- Departments of Neuroscience and Neurology, Center for Translational Research in Neurodegenerative Disease, Normal Fixel Center for Neurological Diseases, University of Florida College of Medicine, Gainesville, Florida, USA
| | - Rachel Whitmer
- Department of Public Health Sciences, University of California, Davis, Davis, California, USA
| | - Donna Wilcock
- Sanders-Brown Center on Aging and Department of Physiology, University of Kentucky College of Medicine, Lexington, Kentucky, USA
| | - Tien Y. Wong
- Singapore Eye Research Institute, Singapore National Eye Center, Duke-NUS Medical School, National University of Singapore, Singapore, Singapore
| | - Lisa J. Bain
- Independent Science Writer, Elverson, Pennsylvania, USA
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10
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Krishnadas N, Doré V, Laws SM, Porter T, Lamb F, Bozinovski S, Villemagne VL, Rowe CC. Exploring discordant low amyloid beta and high neocortical tau positron emission tomography cases. ALZHEIMER'S & DEMENTIA: DIAGNOSIS, ASSESSMENT & DISEASE MONITORING 2022; 14:e12326. [PMID: 36051174 PMCID: PMC9413469 DOI: 10.1002/dad2.12326] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Revised: 04/29/2022] [Accepted: 05/09/2022] [Indexed: 11/12/2022]
Abstract
Introduction Methods Results Discussion
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Affiliation(s)
- Natasha Krishnadas
- Florey Department of Neurosciences & Mental Health The University of Melbourne Parkville Victoria Australia
- Department of Molecular Imaging & Therapy Austin Health Heidelberg Victoria Australia
| | - Vincent Doré
- Department of Molecular Imaging & Therapy Austin Health Heidelberg Victoria Australia
- Health and Biosecurity Flagship The Australian eHealth Research Centre Melbourne Victoria Australia
| | - Simon M. Laws
- Centre for Precision Health Edith Cowan University Perth WA Australia
- Collaborative Genomics and Translation Group School of Medical and Health Sciences Edith Cowan University Perth WA Australia
| | - Tenielle Porter
- Centre for Precision Health Edith Cowan University Perth WA Australia
- Collaborative Genomics and Translation Group School of Medical and Health Sciences Edith Cowan University Perth WA Australia
| | - Fiona Lamb
- Department of Molecular Imaging & Therapy Austin Health Heidelberg Victoria Australia
| | - Svetlana Bozinovski
- Department of Molecular Imaging & Therapy Austin Health Heidelberg Victoria Australia
| | - Victor L Villemagne
- Centre for Precision Health Edith Cowan University Perth WA Australia
- Department of Psychiatry University of Pittsburgh Pittsburgh Pennsylvania USA
| | - Christopher C. Rowe
- Florey Department of Neurosciences & Mental Health The University of Melbourne Parkville Victoria Australia
- Department of Molecular Imaging & Therapy Austin Health Heidelberg Victoria Australia
- Melbourne Dementia Center Florey Institute of Neuroscience & Mental Health Parkville Victoria Australia
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11
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Genetic effects on longitudinal cognitive decline during the early stages of Alzheimer's disease. Sci Rep 2021; 11:19853. [PMID: 34615922 PMCID: PMC8494841 DOI: 10.1038/s41598-021-99310-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Accepted: 09/22/2021] [Indexed: 11/08/2022] Open
Abstract
Cognitive decline in early-stage Alzheimer's disease (AD) may depend on genetic variability. In the Swedish BioFINDER study, we used polygenic scores (PGS) (for AD, intelligence, and educational attainment) to predict longitudinal cognitive change (measured by mini-mental state examination (MMSE) [primary outcome] and other cognitive tests) over a mean of 4.2 years. We included 260 β-amyloid (Aβ) negative cognitively unimpaired (CU) individuals, 121 Aβ-positive CU (preclinical AD), 50 Aβ-negative mild cognitive impairment (MCI) patients, and 127 Aβ-positive MCI patients (prodromal AD). Statistical significance was determined at Bonferroni corrected p value < 0.05. The PGS for intelligence (beta = 0.1, p = 2.9e-02) was protective against decline in MMSE in CU and MCI participants regardless of Aβ status. The polygenic risk score for AD (beta = - 0.12, p = 9.4e-03) was correlated with the rate of change in MMSE and was partially mediated by Aβ-pathology (mediation effect 20%). There was no effect of education PGS on cognitive measures. Genetic variants associated with intelligence mitigate cognitive decline independent of Aβ-pathology, while effects of genetic variants associated with AD are partly mediated by Aβ-pathology.
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12
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Sapkota S, McFall GP, Masellis M, Dixon RA. A Multimodal Risk Network Predicts Executive Function Trajectories in Non-demented Aging. Front Aging Neurosci 2021; 13:621023. [PMID: 34603005 PMCID: PMC8482841 DOI: 10.3389/fnagi.2021.621023] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2020] [Accepted: 08/24/2021] [Indexed: 01/08/2023] Open
Abstract
Background: Multiple modalities of Alzheimer's disease (AD) risk factors may operate through interacting networks to predict differential cognitive trajectories in asymptomatic aging. We test such a network in a series of three analytic steps. First, we test independent associations between three risk scores (functional-health, lifestyle-reserve, and a combined multimodal risk score) and cognitive [executive function (EF)] trajectories. Second, we test whether all three associations are moderated by the most penetrant AD genetic risk [Apolipoprotein E (APOE) ε4+ allele]. Third, we test whether a non-APOE AD genetic risk score further moderates these APOE × multimodal risk score associations. Methods: We assembled a longitudinal data set (spanning a 40-year band of aging, 53-95 years) with non-demented older adults (baseline n = 602; Mage = 70.63(8.70) years; 66% female) from the Victoria Longitudinal Study (VLS). The measures included for each modifiable risk score were: (1) functional-health [pulse pressure (PP), grip strength, and body mass index], (2) lifestyle-reserve (physical, social, cognitive-integrative, cognitive-novel activities, and education), and (3) the combination of functional-health and lifestyle-reserve risk scores. Two AD genetic risk markers included (1) APOE and (2) a combined AD-genetic risk score (AD-GRS) comprised of three single nucleotide polymorphisms (SNPs; Clusterin[rs11136000], Complement receptor 1[rs6656401], Phosphatidylinositol binding clathrin assembly protein[rs3851179]). The analytics included confirmatory factor analysis (CFA), longitudinal invariance testing, and latent growth curve modeling. Structural path analyses were deployed to test and compare prediction models for EF performance and change. Results: First, separate analyses showed that higher functional-health risk scores, lifestyle-reserve risk scores, and the combined score, predicted poorer EF performance and steeper decline. Second, APOE and AD-GRS moderated the association between functional-health risk score and the combined risk score, on EF performance and change. Specifically, only older adults in the APOEε4- group showed steeper EF decline with high risk scores on both functional-health and combined risk score. Both associations were further magnified for adults with high AD-GRS. Conclusion: The present multimodal AD risk network approach incorporated both modifiable and genetic risk scores to predict EF trajectories. The results add an additional degree of precision to risk profile calculations for asymptomatic aging populations.
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Affiliation(s)
- Shraddha Sapkota
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - G. Peggy McFall
- Department of Psychology, University of Alberta, Edmonton, AB, Canada
- Neuroscience and Mental Health Institute, University of Alberta, Edmonton, AB, Canada
| | - Mario Masellis
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
- Department of Medicine (Neurology), University of Toronto, Toronto, ON, Canada
| | - Roger A. Dixon
- Department of Psychology, University of Alberta, Edmonton, AB, Canada
- Neuroscience and Mental Health Institute, University of Alberta, Edmonton, AB, Canada
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13
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Ebenau JL, van der Lee SJ, Hulsman M, Tesi N, Jansen IE, Verberk IM, van Leeuwenstijn M, Teunissen CE, Barkhof F, Prins ND, Scheltens P, Holstege H, van Berckel BN, van der Flier WM. Risk of dementia in APOE ε4 carriers is mitigated by a polygenic risk score. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2021; 13:e12229. [PMID: 34541285 PMCID: PMC8438688 DOI: 10.1002/dad2.12229] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Revised: 06/09/2021] [Accepted: 06/28/2021] [Indexed: 12/22/2022]
Abstract
INTRODUCTION We investigated relationships among genetic determinants of Alzheimer's disease (AD), amyloid/tau/neurodegenaration (ATN) biomarkers, and risk of dementia. METHODS We studied cognitively normal individuals with subjective cognitive decline (SCD) from the Amsterdam Dementia Cohort and SCIENCe project. We examined associations between genetic variants and ATN biomarkers, and evaluated their predictive value for incident dementia. A polygenic risk score (PRS) was calculated based on 39 genetic variants. The APOE gene was not included in the PRS and was analyzed separately. RESULTS The PRS and APOE ε4 were associated with amyloid-positive ATN profiles, and APOE ε4 additionally with isolated increased tau (A-T+N-). A high PRS and APOE ε4 separately predicted AD dementia. Combined, a high PRS increased while a low PRS attenuated the risk associated with ε4 carriers. DISCUSSION Genetic variants beyond APOE are clinically relevant and contribute to the pathophysiology of AD. In the future, a PRS might be used in individualized risk profiling.
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Affiliation(s)
- Jarith L. Ebenau
- Alzheimer Center AmsterdamDepartment of NeurologyAmsterdam NeuroscienceVrije Universiteit AmsterdamAmsterdam UMCAmsterdamthe Netherlands
| | - Sven J. van der Lee
- Alzheimer Center AmsterdamDepartment of NeurologyAmsterdam NeuroscienceVrije Universiteit AmsterdamAmsterdam UMCAmsterdamthe Netherlands
- Department of Clinical GeneticsAmsterdam UMCAmsterdamthe Netherlands
| | - Marc Hulsman
- Alzheimer Center AmsterdamDepartment of NeurologyAmsterdam NeuroscienceVrije Universiteit AmsterdamAmsterdam UMCAmsterdamthe Netherlands
- Department of Clinical GeneticsAmsterdam UMCAmsterdamthe Netherlands
- Delft Bioinformatics LabDelft University of TechnologyDelftthe Netherlands
| | - Niccolò Tesi
- Alzheimer Center AmsterdamDepartment of NeurologyAmsterdam NeuroscienceVrije Universiteit AmsterdamAmsterdam UMCAmsterdamthe Netherlands
- Department of Clinical GeneticsAmsterdam UMCAmsterdamthe Netherlands
- Delft Bioinformatics LabDelft University of TechnologyDelftthe Netherlands
| | - Iris E. Jansen
- Alzheimer Center AmsterdamDepartment of NeurologyAmsterdam NeuroscienceVrije Universiteit AmsterdamAmsterdam UMCAmsterdamthe Netherlands
- Department of Complex Trait GeneticsCenter for Neurogenomics and Cognitive ResearchAmsterdam NeuroscienceVU UniversityAmsterdamthe Netherlands
| | - Inge M.W. Verberk
- Alzheimer Center AmsterdamDepartment of NeurologyAmsterdam NeuroscienceVrije Universiteit AmsterdamAmsterdam UMCAmsterdamthe Netherlands
- Neurochemistry LaboratoryDepartment of Clinical ChemistryVrije Universiteit AmsterdamAmsterdam UMCAmsterdamthe Netherlands
| | - Mardou van Leeuwenstijn
- Alzheimer Center AmsterdamDepartment of NeurologyAmsterdam NeuroscienceVrije Universiteit AmsterdamAmsterdam UMCAmsterdamthe Netherlands
| | - Charlotte E. Teunissen
- Neurochemistry LaboratoryDepartment of Clinical ChemistryVrije Universiteit AmsterdamAmsterdam UMCAmsterdamthe Netherlands
| | - Frederik Barkhof
- Department of Radiology & Nuclear MedicineAmsterdam NeuroscienceVrije Universiteit AmsterdamAmsterdam UMCAmsterdamthe Netherlands
- Queen Square Institute of Neurology and Centre for Medical Image ComputingUniversity College LondonLondonUK
| | - Niels D. Prins
- Alzheimer Center AmsterdamDepartment of NeurologyAmsterdam NeuroscienceVrije Universiteit AmsterdamAmsterdam UMCAmsterdamthe Netherlands
| | - Philip Scheltens
- Alzheimer Center AmsterdamDepartment of NeurologyAmsterdam NeuroscienceVrije Universiteit AmsterdamAmsterdam UMCAmsterdamthe Netherlands
| | - Henne Holstege
- Alzheimer Center AmsterdamDepartment of NeurologyAmsterdam NeuroscienceVrije Universiteit AmsterdamAmsterdam UMCAmsterdamthe Netherlands
- Department of Clinical GeneticsAmsterdam UMCAmsterdamthe Netherlands
- Delft Bioinformatics LabDelft University of TechnologyDelftthe Netherlands
| | - Bart N.M. van Berckel
- Alzheimer Center AmsterdamDepartment of NeurologyAmsterdam NeuroscienceVrije Universiteit AmsterdamAmsterdam UMCAmsterdamthe Netherlands
- Department of Radiology & Nuclear MedicineAmsterdam NeuroscienceVrije Universiteit AmsterdamAmsterdam UMCAmsterdamthe Netherlands
| | - Wiesje M. van der Flier
- Alzheimer Center AmsterdamDepartment of NeurologyAmsterdam NeuroscienceVrije Universiteit AmsterdamAmsterdam UMCAmsterdamthe Netherlands
- Department of Epidemiology and BiostatisticsAmsterdam UMCAmsterdamthe Netherlands
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Fowler C, Rainey-Smith SR, Bird S, Bomke J, Bourgeat P, Brown BM, Burnham SC, Bush AI, Chadunow C, Collins S, Doecke J, Doré V, Ellis KA, Evered L, Fazlollahi A, Fripp J, Gardener SL, Gibson S, Grenfell R, Harrison E, Head R, Jin L, Kamer A, Lamb F, Lautenschlager NT, Laws SM, Li QX, Lim L, Lim YY, Louey A, Macaulay SL, Mackintosh L, Martins RN, Maruff P, Masters CL, McBride S, Milicic L, Peretti M, Pertile K, Porter T, Radler M, Rembach A, Robertson J, Rodrigues M, Rowe CC, Rumble R, Salvado O, Savage G, Silbert B, Soh M, Sohrabi HR, Taddei K, Taddei T, Thai C, Trounson B, Tyrrell R, Vacher M, Varghese S, Villemagne VL, Weinborn M, Woodward M, Xia Y, Ames D. Fifteen Years of the Australian Imaging, Biomarkers and Lifestyle (AIBL) Study: Progress and Observations from 2,359 Older Adults Spanning the Spectrum from Cognitive Normality to Alzheimer's Disease. J Alzheimers Dis Rep 2021; 5:443-468. [PMID: 34368630 PMCID: PMC8293663 DOI: 10.3233/adr-210005] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Background: The Australian Imaging, Biomarkers and Lifestyle (AIBL) Study commenced in 2006 as a prospective study of 1,112 individuals (768 cognitively normal (CN), 133 with mild cognitive impairment (MCI), and 211 with Alzheimer’s disease dementia (AD)) as an ‘Inception cohort’ who underwent detailed ssessments every 18 months. Over the past decade, an additional 1247 subjects have been added as an ‘Enrichment cohort’ (as of 10 April 2019). Objective: Here we provide an overview of these Inception and Enrichment cohorts of more than 8,500 person-years of investigation. Methods: Participants underwent reassessment every 18 months including comprehensive cognitive testing, neuroimaging (magnetic resonance imaging, MRI; positron emission tomography, PET), biofluid biomarkers and lifestyle evaluations. Results: AIBL has made major contributions to the understanding of the natural history of AD, with cognitive and biological definitions of its three major stages: preclinical, prodromal and clinical. Early deployment of Aβ-amyloid and tau molecular PET imaging and the development of more sensitive and specific blood tests have facilitated the assessment of genetic and environmental factors which affect age at onset and rates of progression. Conclusion: This fifteen-year study provides a large database of highly characterized individuals with longitudinal cognitive, imaging and lifestyle data and biofluid collections, to aid in the development of interventions to delay onset, prevent or treat AD. Harmonization with similar large longitudinal cohort studies is underway to further these aims.
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Affiliation(s)
- Christopher Fowler
- The Florey Institute, The University of Melbourne, Parkville, VIC, Australia
| | - Stephanie R Rainey-Smith
- Centre of Excellence for Alzheimer's Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia.,Australian Alzheimer's Research Foundation (Ralph and Patricia Sarich Neuroscience Research Institute), Nedlands, WA, Australia.,Centre for Healthy Ageing, Health Futures Institute, Murdoch University, Murdoch, WA, Australia.,School of Psychological Science, University of Western Australia, Crawley, WA, Australia
| | - Sabine Bird
- Centre of Excellence for Alzheimer's Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia.,Australian Alzheimer's Research Foundation (Ralph and Patricia Sarich Neuroscience Research Institute), Nedlands, WA, Australia
| | - Julia Bomke
- Australian E-Health Research Centre, CSIRO Health & Biosecurity, Herston, QLD, Australia
| | - Pierrick Bourgeat
- Australian E-Health Research Centre, CSIRO Health & Biosecurity, Herston, QLD, Australia
| | - Belinda M Brown
- Australian Alzheimer's Research Foundation (Ralph and Patricia Sarich Neuroscience Research Institute), Nedlands, WA, Australia.,Centre for Healthy Ageing, Health Futures Institute, Murdoch University, Murdoch, WA, Australia
| | - Samantha C Burnham
- Australian E-Health Research Centre, CSIRO Health & Biosecurity, Herston, QLD, Australia
| | - Ashley I Bush
- The Florey Institute, The University of Melbourne, Parkville, VIC, Australia
| | - Carolyn Chadunow
- The Florey Institute, The University of Melbourne, Parkville, VIC, Australia
| | - Steven Collins
- The Florey Institute, The University of Melbourne, Parkville, VIC, Australia
| | - James Doecke
- Australian E-Health Research Centre, CSIRO Health & Biosecurity, Herston, QLD, Australia.,Cooperative Research Council for Mental Health, Melbourne, VIC, Australia
| | - Vincent Doré
- Australian E-Health Research Centre, CSIRO Health & Biosecurity, Herston, QLD, Australia.,Department of Molecular Imaging and Therapy, Austin Health, Heidelberg, VIC, Australia
| | - Kathryn A Ellis
- The Florey Institute, The University of Melbourne, Parkville, VIC, Australia.,University of Melbourne Academic Unit for Psychiatry of Old Age, Parkville, VIC, Australia.,Melbourne School of Psychological Sciences, Melbourne, VIC, Australia
| | - Lis Evered
- Department of Anaesthesia and Acute Pain Medicine, St Vincent's Hospital Melbourne, Victoria Parade, Fitzroy, VIC, Australia
| | - Amir Fazlollahi
- Australian E-Health Research Centre, CSIRO Health & Biosecurity, Herston, QLD, Australia
| | - Jurgen Fripp
- Australian E-Health Research Centre, CSIRO Health & Biosecurity, Herston, QLD, Australia
| | - Samantha L Gardener
- Centre of Excellence for Alzheimer's Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia.,Australian Alzheimer's Research Foundation (Ralph and Patricia Sarich Neuroscience Research Institute), Nedlands, WA, Australia
| | - Simon Gibson
- Australian E-Health Research Centre, CSIRO Health & Biosecurity, Herston, QLD, Australia
| | - Robert Grenfell
- Australian E-Health Research Centre, CSIRO Health & Biosecurity, Herston, QLD, Australia
| | - Elise Harrison
- The Florey Institute, The University of Melbourne, Parkville, VIC, Australia
| | - Richard Head
- Australian E-Health Research Centre, CSIRO Health & Biosecurity, Herston, QLD, Australia
| | - Liang Jin
- The Florey Institute, The University of Melbourne, Parkville, VIC, Australia
| | - Adrian Kamer
- The Florey Institute, The University of Melbourne, Parkville, VIC, Australia
| | - Fiona Lamb
- Department of Molecular Imaging and Therapy, Austin Health, Heidelberg, VIC, Australia
| | | | - Simon M Laws
- Collaborative Genomics and Translation Group, Centre for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia.,School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences, Curtin Health Innovation Research Institute, Curtin University, Bentley, WA, Australia
| | - Qiao-Xin Li
- The Florey Institute, The University of Melbourne, Parkville, VIC, Australia
| | - Lucy Lim
- Centre of Excellence for Alzheimer's Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia.,Australian Alzheimer's Research Foundation (Ralph and Patricia Sarich Neuroscience Research Institute), Nedlands, WA, Australia
| | - Yen Ying Lim
- The Florey Institute, The University of Melbourne, Parkville, VIC, Australia.,Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, VIC, Australia
| | - Andrea Louey
- The Florey Institute, The University of Melbourne, Parkville, VIC, Australia
| | - S Lance Macaulay
- Australian E-Health Research Centre, CSIRO Health & Biosecurity, Herston, QLD, Australia
| | - Lucy Mackintosh
- The Florey Institute, The University of Melbourne, Parkville, VIC, Australia
| | - Ralph N Martins
- Centre of Excellence for Alzheimer's Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia.,Australian Alzheimer's Research Foundation (Ralph and Patricia Sarich Neuroscience Research Institute), Nedlands, WA, Australia.,Department of Biomedical Sciences, Macquarie University, North Ryde, NSW, Australia
| | | | - Colin L Masters
- The Florey Institute, The University of Melbourne, Parkville, VIC, Australia
| | - Simon McBride
- Australian E-Health Research Centre, CSIRO Health & Biosecurity, Herston, QLD, Australia
| | - Lidija Milicic
- Collaborative Genomics and Translation Group, Centre for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
| | - Madeline Peretti
- Collaborative Genomics and Translation Group, Centre for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
| | - Kelly Pertile
- The Florey Institute, The University of Melbourne, Parkville, VIC, Australia
| | - Tenielle Porter
- Collaborative Genomics and Translation Group, Centre for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia.,School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences, Curtin Health Innovation Research Institute, Curtin University, Bentley, WA, Australia
| | - Morgan Radler
- The Florey Institute, The University of Melbourne, Parkville, VIC, Australia
| | - Alan Rembach
- The Florey Institute, The University of Melbourne, Parkville, VIC, Australia
| | - Joanne Robertson
- The Florey Institute, The University of Melbourne, Parkville, VIC, Australia
| | - Mark Rodrigues
- Centre of Excellence for Alzheimer's Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia.,Australian Alzheimer's Research Foundation (Ralph and Patricia Sarich Neuroscience Research Institute), Nedlands, WA, Australia
| | - Christopher C Rowe
- Department of Molecular Imaging and Therapy, Austin Health, Heidelberg, VIC, Australia.,Australian Alzheimer's Research Foundation (Ralph and Patricia Sarich Neuroscience Research Institute), Nedlands, WA, Australia
| | - Rebecca Rumble
- The Florey Institute, The University of Melbourne, Parkville, VIC, Australia
| | | | - Greg Savage
- Department of Psychology, Macquarie University, Sydney, NSW, Australia
| | - Brendan Silbert
- Department of Anaesthesia and Acute Pain Medicine, St Vincent's Hospital Melbourne, Victoria Parade, Fitzroy, VIC, Australia
| | - Magdalene Soh
- Centre of Excellence for Alzheimer's Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia.,Australian Alzheimer's Research Foundation (Ralph and Patricia Sarich Neuroscience Research Institute), Nedlands, WA, Australia
| | - Hamid R Sohrabi
- Australian Alzheimer's Research Foundation (Ralph and Patricia Sarich Neuroscience Research Institute), Nedlands, WA, Australia.,Centre for Healthy Ageing, Health Futures Institute, Murdoch University, Murdoch, WA, Australia.,Department of Biomedical Sciences, Macquarie University, North Ryde, NSW, Australia
| | - Kevin Taddei
- Centre of Excellence for Alzheimer's Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia.,Australian Alzheimer's Research Foundation (Ralph and Patricia Sarich Neuroscience Research Institute), Nedlands, WA, Australia
| | - Tania Taddei
- Centre of Excellence for Alzheimer's Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia.,Australian Alzheimer's Research Foundation (Ralph and Patricia Sarich Neuroscience Research Institute), Nedlands, WA, Australia
| | - Christine Thai
- The Florey Institute, The University of Melbourne, Parkville, VIC, Australia
| | - Brett Trounson
- The Florey Institute, The University of Melbourne, Parkville, VIC, Australia
| | - Regan Tyrrell
- Department of Molecular Imaging and Therapy, Austin Health, Heidelberg, VIC, Australia
| | - Michael Vacher
- Australian E-Health Research Centre, CSIRO Health & Biosecurity, Herston, QLD, Australia
| | - Shiji Varghese
- The Florey Institute, The University of Melbourne, Parkville, VIC, Australia
| | - Victor L Villemagne
- Department of Molecular Imaging and Therapy, Austin Health, Heidelberg, VIC, Australia.,Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Michael Weinborn
- Centre of Excellence for Alzheimer's Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia.,Australian Alzheimer's Research Foundation (Ralph and Patricia Sarich Neuroscience Research Institute), Nedlands, WA, Australia.,School of Psychological Science, University of Western Australia, Crawley, WA, Australia
| | - Michael Woodward
- Department of Geriatric Medicine Austin Hospital, Heidelberg, VIC, Australia
| | - Ying Xia
- Australian E-Health Research Centre, CSIRO Health & Biosecurity, Herston, QLD, Australia
| | - David Ames
- The Florey Institute, The University of Melbourne, Parkville, VIC, Australia.,University of Melbourne Academic Unit for Psychiatry of Old Age, Parkville, VIC, Australia.,National Ageing Research Institute (NARI), Parkville, VIC, Australia
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15
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Tan S, Porter T, Bucks RS, Weinborn M, Milicic L, Brown A, Rainey-Smith SR, Taddei K, Ames D, Masters CL, Maruff P, Savage G, Rowe CC, Villemagne VL, Brown B, Sohrabi HR, Laws SM, Martins RN. Androgen receptor CAG repeat length as a moderator of the relationship between free testosterone levels and cognition. Horm Behav 2021; 131:104966. [PMID: 33714752 DOI: 10.1016/j.yhbeh.2021.104966] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Revised: 02/19/2021] [Accepted: 02/22/2021] [Indexed: 11/23/2022]
Abstract
Age-related decrease in testosterone levels is a potential risk factor for cognitive decline in older men. However, observational studies and clinical trials have reported inconsistent results on the effects of testosterone on individual cognitive domains. Null findings may be attributed to factors that studies have yet to consider. In particular, individual variations in polyglutamine (CAG) length in the androgen receptor (AR) gene could alter androgenic activity in brain regions associated with cognitive processes including memory and executive functions. However, the role of AR CAG repeat length as a moderator of the relationship between testosterone levels and cognition has not been investigated. Therefore, we aimed to examine the relationship between baseline calculated free testosterone (cFT) levels, change in cFT levels over 18 months and CAG repeat length on cognitive performance in memory, executive function, language, attention and processing speed domains. These relationships were examined in 304 cognitively normal older male participants of the Australian Imaging, Biomarkers and Lifestyle (AIBL) Study of Ageing. In the attention and processing speed domain, a short CAG repeat length appears to exacerbate the effects of low baseline cFT levels that are also lower than expected at follow-up. These results highlight that individual variations in AR CAG repeat length should be considered in future studies and clinical trials that examine the complex relationship between testosterone and cognition.
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Affiliation(s)
- Sherilyn Tan
- Australian Alzheimer's Research Foundation, Ralph and Patricia Sarich Neuroscience Research Institute, Nedlands, Western Australia, Australia; School of Psychological Science, University of Western Australia, Nedlands, Western Australia, Australia
| | - Tenielle Porter
- Collaborative Genomics and Translation Group, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia; Centre for Precision Health, Edith Cowan University, Joondalup, Western Australia, Australia; School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences, Curtin Health Innovation Research Institute, Curtin University, Bentley, Western Australia, Australia
| | - Romola S Bucks
- School of Psychological Science, University of Western Australia, Nedlands, Western Australia, Australia
| | - Michael Weinborn
- Australian Alzheimer's Research Foundation, Ralph and Patricia Sarich Neuroscience Research Institute, Nedlands, Western Australia, Australia; School of Psychological Science, University of Western Australia, Nedlands, Western Australia, Australia
| | - Lidija Milicic
- Collaborative Genomics and Translation Group, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia; Centre for Precision Health, Edith Cowan University, Joondalup, Western Australia, Australia
| | - Ailsa Brown
- Collaborative Genomics and Translation Group, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia
| | - Stephanie R Rainey-Smith
- Australian Alzheimer's Research Foundation, Ralph and Patricia Sarich Neuroscience Research Institute, Nedlands, Western Australia, Australia; School of Psychological Science, University of Western Australia, Nedlands, Western Australia, Australia; Centre of Excellence for Alzheimer's Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia
| | - Kevin Taddei
- Australian Alzheimer's Research Foundation, Ralph and Patricia Sarich Neuroscience Research Institute, Nedlands, Western Australia, Australia; Centre of Excellence for Alzheimer's Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia
| | - David Ames
- Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, Victoria, Australia; University of Melbourne Academic Unit for Psychiatry of Old Age, Parkville, Victoria, Australia; National Ageing Research Institute (NARI), Parkville, Victoria, Australia
| | - Colin L Masters
- Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, Victoria, Australia; Cooperative Research Centre for Mental Health, Carlton, Victoria, Australia
| | - Paul Maruff
- Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, Victoria, Australia; CogState Ltd, Melbourne, Victoria, Australia
| | - Greg Savage
- Department of Biomedical Sciences, Faculty of Medicine and Health Science, Macquarie University, Sydney, New South Wales, Australia
| | - Christopher C Rowe
- Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, Victoria, Australia; Department of Nuclear Medicine & Centre for PET, Austin Health, Heidelberg, Victoria, Australia
| | - Victor L Villemagne
- Centre for Precision Health, Edith Cowan University, Joondalup, Western Australia, Australia; Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, Victoria, Australia; Department of Nuclear Medicine & Centre for PET, Austin Health, Heidelberg, Victoria, Australia
| | - Belinda Brown
- Australian Alzheimer's Research Foundation, Ralph and Patricia Sarich Neuroscience Research Institute, Nedlands, Western Australia, Australia; Centre for Precision Health, Edith Cowan University, Joondalup, Western Australia, Australia; Centre for Healthy Ageing, College of Science, Health, Engineering and Education (SHEE), Murdoch University, Murdoch, Western Australia, Australia
| | - Hamid R Sohrabi
- Australian Alzheimer's Research Foundation, Ralph and Patricia Sarich Neuroscience Research Institute, Nedlands, Western Australia, Australia; Centre of Excellence for Alzheimer's Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia; Centre for Healthy Ageing, College of Science, Health, Engineering and Education (SHEE), Murdoch University, Murdoch, Western Australia, Australia; Department of Biomedical Sciences, Faculty of Medicine and Health Science, Macquarie University, Sydney, New South Wales, Australia.
| | - Simon M Laws
- Collaborative Genomics and Translation Group, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia; Centre for Precision Health, Edith Cowan University, Joondalup, Western Australia, Australia; School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences, Curtin Health Innovation Research Institute, Curtin University, Bentley, Western Australia, Australia.
| | - Ralph N Martins
- Australian Alzheimer's Research Foundation, Ralph and Patricia Sarich Neuroscience Research Institute, Nedlands, Western Australia, Australia; Centre of Excellence for Alzheimer's Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia; Cooperative Research Centre for Mental Health, Carlton, Victoria, Australia; Department of Biomedical Sciences, Faculty of Medicine and Health Science, Macquarie University, Sydney, New South Wales, Australia.
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16
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Moussavi Nik SH, Porter T, Newman M, Bartlett B, Khan I, Sabale M, Eccles M, Woodfield A, Groth D, Dore V, Villemagne VL, Masters CL, Martins RN, Laws SM, Lardelli M, Verdile G. Relevance of a Truncated PRESENILIN 2 Transcript to Alzheimer's Disease and Neurodegeneration. J Alzheimers Dis 2021; 80:1479-1489. [PMID: 33720885 DOI: 10.3233/jad-201133] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND The PRESENILIN genes (PSEN1, PSEN2) encoding for their respective proteins have critical roles in many aspects of Alzheimer's disease (AD) pathogenesis. The PS2V transcript of PSEN2 encodes a truncated protein and is upregulated in AD brains; however, its relevance to AD and disease progression remains to be determined. OBJECTIVE Assess transcript levels in postmortem AD and non-AD brain tissue and in lymphocytes collected under the Australian Imaging Biomarker and Lifestyle (AIBL) study. METHODS Full length PSEN2 and PS2V transcript levels were assessed by quantitative digital PCR in postmortem brain tissue (frontal cortex and hippocampus) from control, AD, frontotemporal dementia (FTD), and Lewy body dementia (LBD). Transcript levels were also assessed in lymphocytes obtained from the Perth subset of the AIBL study (n = 160). Linear regression analysis was used to assess correlations between transcript copy number and brain volume and neocortical amyloid load. RESULTS PS2V levels increased in AD postmortem brain but PS2V was also present at significant levels in FTD and LBD brains. PS2V transcript was detected in lymphocytes and PS2V/PSEN2 ratios were increased in mild cognitive impairment (p = 0.024) and AD (p = 0.019) groups compared to control group. Increased ratios were significantly correlated with hippocampal volumes only (n = 62, β= -0.269, p = 0.03). CONCLUSION Taken together, these results suggest that PS2V may be a marker of overall neurodegeneration.
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Affiliation(s)
- Seyyed Hani Moussavi Nik
- University of Adelaide, School of Biological Sciences, Centre for Molecular Pathology, Adelaide, SA, Australia
| | - Tenielle Porter
- Collaborative Genomics and Translation Group, Strategic Research Centre for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia.,School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences, Curtin Health Innovation Research Institute, Curtin University, Bentley, Western Australia, Australia
| | - Morgan Newman
- University of Adelaide, School of Biological Sciences, Centre for Molecular Pathology, Adelaide, SA, Australia
| | - Benjamin Bartlett
- School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences, Curtin Health Innovation Research Institute, Curtin University, Bentley, Western Australia, Australia.,Department of Advanced Clinical and Translational Cardiovascular Imaging, Harry Perkins Institute of Medical Research, Murdoch, Western Australia, Australia.,School of Medicine, University of Western Australia, Crawley, Western Australia, Australia
| | - Imran Khan
- School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences, Curtin Health Innovation Research Institute, Curtin University, Bentley, Western Australia, Australia
| | - Miheer Sabale
- School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences, Curtin Health Innovation Research Institute, Curtin University, Bentley, Western Australia, Australia.,Biomedical Sciences, Faculty of Medicine and Health Sciences, Macquarie University, New South Wales, Australia
| | - Melissa Eccles
- School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences, Curtin Health Innovation Research Institute, Curtin University, Bentley, Western Australia, Australia
| | - Amy Woodfield
- School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences, Curtin Health Innovation Research Institute, Curtin University, Bentley, Western Australia, Australia
| | - David Groth
- School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences, Curtin Health Innovation Research Institute, Curtin University, Bentley, Western Australia, Australia
| | - Vincent Dore
- Department of Nuclear Medicine and Centre for PET, Austin Health, Heidelberg, VIC, Australia
| | - Victor L Villemagne
- Department of Nuclear Medicine and Centre for PET, Austin Health, Heidelberg, VIC, Australia.,The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Colin L Masters
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Ralph N Martins
- Biomedical Sciences, Faculty of Medicine and Health Sciences, Macquarie University, New South Wales, Australia.,School of Medical and Health Sciences, Edith Cowan University, Western Australia, Australia
| | - Simon M Laws
- Collaborative Genomics and Translation Group, Strategic Research Centre for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia.,School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences, Curtin Health Innovation Research Institute, Curtin University, Bentley, Western Australia, Australia
| | - Michael Lardelli
- University of Adelaide, School of Biological Sciences, Centre for Molecular Pathology, Adelaide, SA, Australia
| | - Giuseppe Verdile
- Collaborative Genomics and Translation Group, Strategic Research Centre for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia.,School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences, Curtin Health Innovation Research Institute, Curtin University, Bentley, Western Australia, Australia
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17
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Fernandez S, Burnham SC, Milicic L, Savage G, Maruff P, Peretti M, Sohrabi HR, Lim YY, Weinborn M, Ames D, Masters CL, Martins RN, Rainey-Smith S, Rowe CC, Salvado O, Groth D, Verdile G, Villemagne VL, Porter T, Laws SM. SPON1 Is Associated with Amyloid-β and APOE ε4-Related Cognitive Decline in Cognitively Normal Adults. J Alzheimers Dis Rep 2021; 5:111-120. [PMID: 33782664 PMCID: PMC7990462 DOI: 10.3233/adr-200246] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Abstract.
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Affiliation(s)
- Shane Fernandez
- Australian Alzheimer's Research Foundation, Nedlands, Western Australia.,Collaborative Genomics and Translation Group, Center for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia
| | - Samantha C Burnham
- Collaborative Genomics and Translation Group, Center for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia.,CSIRO Health and Biosecurity, Parkville, Victoria, Australia
| | - Lidija Milicic
- Collaborative Genomics and Translation Group, Center for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia
| | - Greg Savage
- ARC Centre of Excellence in Cognition and its Disorders, Department of Psychology, Macquarie University, North Ryde, NSW, Australia
| | - Paul Maruff
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, Victoria, Australia.,CogState Ltd., Melbourne, Victoria, Australia
| | - Madeline Peretti
- Collaborative Genomics and Translation Group, Center for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia
| | - Hamid R Sohrabi
- Australian Alzheimer's Research Foundation, Nedlands, Western Australia.,Centre for Healthy Ageing, Murdoch University, Murdoch, Western Australia, Australia.,Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Macquarie University, Sydney, New South Wales, Australia.,Centre of Excellence for Alzheimer's Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia
| | - Yen Ying Lim
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, Victoria, Australia
| | - Michael Weinborn
- Australian Alzheimer's Research Foundation, Nedlands, Western Australia.,Centre of Excellence for Alzheimer's Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia.,School of Psychological Science, University of Western Australia, Crawley, Western Australia, Australia
| | - David Ames
- Academic Unit for Psychiatry of Old Age, St. Vincent's Health, The University of Melbourne, Kew, Victoria, Australia.,National Ageing Research Institute, Parkville, Victoria, Australia
| | - Colin L Masters
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Ralph N Martins
- Australian Alzheimer's Research Foundation, Nedlands, Western Australia.,Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Macquarie University, Sydney, New South Wales, Australia.,Centre of Excellence for Alzheimer's Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia
| | - Stephanie Rainey-Smith
- Australian Alzheimer's Research Foundation, Nedlands, Western Australia.,Centre of Excellence for Alzheimer's Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia
| | - Christopher C Rowe
- Department of Nuclear Medicine and Centre for PET, Austin Health, Heidelberg, Victoria, Australia.,Department of Medicine, Austin Health, The University of Melbourne, Heidelberg, Victoria, Australia
| | - Olivier Salvado
- CSIRO Health and Biosecurity/Australian e-Health Research Centre, Herston, Queensland, Australia
| | - David Groth
- School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences, Curtin Health Innovation Research Institute, Curtin University, Bentley, Western Australia, Australia
| | - Giuseppe Verdile
- Centre of Excellence for Alzheimer's Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia.,School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences, Curtin Health Innovation Research Institute, Curtin University, Bentley, Western Australia, Australia
| | - Victor L Villemagne
- Collaborative Genomics and Translation Group, Center for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia.,Department of Nuclear Medicine and Centre for PET, Austin Health, Heidelberg, Victoria, Australia
| | - Tenielle Porter
- Collaborative Genomics and Translation Group, Center for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia.,School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences, Curtin Health Innovation Research Institute, Curtin University, Bentley, Western Australia, Australia
| | - Simon M Laws
- Collaborative Genomics and Translation Group, Center for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia.,School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences, Curtin Health Innovation Research Institute, Curtin University, Bentley, Western Australia, Australia
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Skoog I, Kern S, Najar J, Guerreiro R, Bras J, Waern M, Zetterberg H, Blennow K, Zettergren A. A Non-APOE Polygenic Risk Score for Alzheimer's Disease Is Associated With Cerebrospinal Fluid Neurofilament Light in a Representative Sample of Cognitively Unimpaired 70-Year Olds. J Gerontol A Biol Sci Med Sci 2021; 76:983-990. [PMID: 33512503 PMCID: PMC8140047 DOI: 10.1093/gerona/glab030] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Indexed: 01/01/2023] Open
Abstract
The effect of Alzheimer's disease (AD) polygenic risk scores (PRS) on amyloid and tau pathophysiology and neurodegeneration in cognitively unimpaired older adults is not known in detail. This study aims to investigate non-APOE AD-PRS and APOE ε4 in relation to AD pathophysiology evaluated by cerebrospinal fluid (CSF) biomarkers in a population-based sample of 70-year olds. A total of 303 dementia-free individuals from the Gothenburg H70 Birth Cohort Studies were included. Genotyping was performed using the NeuroChip, and AD-PRS were calculated. CSF levels of amyloid-β (Aβ42), total tau (t-tau), phosphorylated tau (p-tau), neurogranin (Ng), and neurofilament light (NfL) were measured with enzyme-linked immunosorbent assay. Associations were found between non-APOE PRS and both NfL (p = .001) and Aβ42 (p = .02), and between APOE ε4 and Aβ42 (p = 1e-10), t-tau (p = 5e-4), and p-tau (p = .002). Similar results were observed when only including individuals with CDR = 0, except for no evidence of an association between non-APOE PRS and Aβ42. There was an interaction between non-APOE PRS and Aβ42 pathology status in relation to NfL (p = .005); association was only present in individuals without Aβ42 pathology (p = 3e-4). In relation to Aβ42, there was a borderline interaction (p = .06) between non-APOE PRS and APOE ε4; association was present in ε4 carriers only (p = .03). Similar results were observed in individuals with CDR = 0 (n = 246). In conclusion, among cognitively healthy 70-year olds from the general population, genetic risk of AD beyond the APOE locus was associated with NfL in individuals without Aβ42 pathology, and with Aβ42 in APOE ε4 carriers, suggesting these associations are driven by different mechanisms.
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Affiliation(s)
- Ingmar Skoog
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, Centre for Ageing and Health (AGECAP), University of Gothenburg, Sweden,Region Västra Götaland, Sahlgrenska University Hospital, Psychiatry, Cognition and Old Age Psychiatry Clinic, Gothenburg, Sweden
| | - Silke Kern
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, Centre for Ageing and Health (AGECAP), University of Gothenburg, Sweden,Region Västra Götaland, Sahlgrenska University Hospital, Psychiatry, Cognition and Old Age Psychiatry Clinic, Gothenburg, Sweden
| | - Jenna Najar
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, Centre for Ageing and Health (AGECAP), University of Gothenburg, Sweden,Region Västra Götaland, Sahlgrenska University Hospital, Psychiatry, Cognition and Old Age Psychiatry Clinic, Gothenburg, Sweden
| | - Rita Guerreiro
- Center for Neurodegenerative Science, Van Andel Institute, Grand Rapids, Michigan, USA
| | - Jose Bras
- Center for Neurodegenerative Science, Van Andel Institute, Grand Rapids, Michigan, USA
| | - Margda Waern
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, Centre for Ageing and Health (AGECAP), University of Gothenburg, Sweden,Region Västra Götaland, Sahlgrenska University Hospital, Psychosis Clinic, Gothenburg, Sweden
| | - Henrik Zetterberg
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, United Kingdom,UK Dementia Research Institute at UCL, London, United Kingdom,Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Anna Zettergren
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, Centre for Ageing and Health (AGECAP), University of Gothenburg, Sweden,Address correspondence to: Anna Zettergren, PhD, Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, Centre for Ageing and Health (AGECAP), University of Gothenburg, Wallinsgatan 6, 431 41 Mölndal, Sweden. E-mail:
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Zettergren A, Lord J, Ashton NJ, Benedet AL, Karikari TK, Lantero Rodriguez J, Snellman A, Suárez-Calvet M, Proitsi P, Zetterberg H, Blennow K. Association between polygenic risk score of Alzheimer's disease and plasma phosphorylated tau in individuals from the Alzheimer's Disease Neuroimaging Initiative. Alzheimers Res Ther 2021; 13:17. [PMID: 33419453 PMCID: PMC7792087 DOI: 10.1186/s13195-020-00754-8] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Accepted: 12/16/2020] [Indexed: 11/10/2022]
Abstract
BACKGROUND Recent studies suggest that plasma phosphorylated tau181 (p-tau181) is a highly specific biomarker for Alzheimer's disease (AD)-related tau pathology. It has great potential for the diagnostic and prognostic evaluation of AD, since it identifies AD with the same accuracy as tau PET and CSF p-tau181 and predicts the development of AD dementia in cognitively unimpaired (CU) individuals and in those with mild cognitive impairment (MCI). Plasma p-tau181 may also be used as a biomarker in studies exploring disease pathogenesis, such as genetic or environmental risk factors for AD-type tau pathology. The aim of the present study was to investigate the relation between polygenic risk scores (PRSs) for AD and plasma p-tau181. METHODS Data from the Alzheimer's Disease Neuroimaging Initiative (ADNI) was used to examine the relation between AD PRSs, constructed based on findings in recent genome-wide association studies, and plasma p-tau181, using linear regression models. Analyses were performed in the total sample (n = 818), after stratification on diagnostic status (CU (n = 236), MCI (n = 434), AD dementia (n = 148)), and after stratification on Aβ pathology status (Aβ positives (n = 322), Aβ negatives (n = 409)). RESULTS Associations between plasma p-tau181 and APOE PRSs (p = 3e-18-7e-15) and non-APOE PRSs (p = 3e-4-0.03) were seen in the total sample. The APOE PRSs were associated with plasma p-tau181 in all diagnostic groups (CU, MCI, and AD dementia), while the non-APOE PRSs were associated only in the MCI group. The APOE PRSs showed similar results in amyloid-β (Aβ)-positive and negative individuals (p = 5e-5-1e-3), while the non-APOE PRSs were associated with plasma p-tau181 in Aβ positives only (p = 0.02). CONCLUSIONS Polygenic risk for AD including APOE was found to associate with plasma p-tau181 independent of diagnostic and Aβ pathology status, while polygenic risk for AD beyond APOE was associated with plasma p-tau181 only in MCI and Aβ-positive individuals. These results extend the knowledge about the relation between genetic risk for AD and p-tau181, and further support the usefulness of plasma p-tau181 as a biomarker of AD.
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Affiliation(s)
- Anna Zettergren
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Gothenburg, Sweden.
| | - Jodie Lord
- Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Nicholas J Ashton
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, Sweden
- Department of Old Age Psychiatry, Maurice Wohl Clinical Neuroscience Institute, King's College London, London, UK
- NIHR Biomedical Research Centre for Mental Health & Biomedical Research Unit for Dementia at South London & Maudsley NHS Foundation, London, UK
| | - Andrea L Benedet
- Translational Neuroimaging Laboratory, McGill Centre for Studies in Aging, McGill University, Montreal, QC, Canada
| | - Thomas K Karikari
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Juan Lantero Rodriguez
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Anniina Snellman
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Turku PET Centre, University of Turku, Turku, Finland
| | - Marc Suárez-Calvet
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
- Servei de Neurologia, Hospital del Mar, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain
| | - Petroula Proitsi
- Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK
- UK Dementia Research Institute at UCL, London, UK
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
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Zhou X, Li YYT, Fu AKY, Ip NY. Polygenic Score Models for Alzheimer's Disease: From Research to Clinical Applications. Front Neurosci 2021; 15:650220. [PMID: 33854414 PMCID: PMC8039467 DOI: 10.3389/fnins.2021.650220] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Accepted: 03/09/2021] [Indexed: 12/13/2022] Open
Abstract
The high prevalence of Alzheimer's disease (AD) among the elderly population and its lack of effective treatments make this disease a critical threat to human health. Recent epidemiological and genetics studies have revealed the polygenic nature of the disease, which is possibly explainable by a polygenic score model that considers multiple genetic risks. Here, we systemically review the rationale and methods used to construct polygenic score models for studying AD. We also discuss the associations of polygenic risk scores (PRSs) with clinical outcomes, brain imaging findings, and biochemical biomarkers from both the brain and peripheral system. Finally, we discuss the possibility of incorporating polygenic score models into research and clinical practice along with potential challenges.
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Affiliation(s)
- Xiaopu Zhou
- Division of Life Science, State Key Laboratory of Molecular Neuroscience and Molecular Neuroscience Center, The Hong Kong University of Science and Technology, Hong Kong, China
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong Science Park, Hong Kong, China
- Guangdong Provincial Key Laboratory of Brain Science, Disease and Drug Development, HKUST Shenzhen Research Institute, Shenzhen–Hong Kong Institute of Brain Science, Shenzhen, China
| | - Yolanda Y. T. Li
- Division of Life Science, State Key Laboratory of Molecular Neuroscience and Molecular Neuroscience Center, The Hong Kong University of Science and Technology, Hong Kong, China
| | - Amy K. Y. Fu
- Division of Life Science, State Key Laboratory of Molecular Neuroscience and Molecular Neuroscience Center, The Hong Kong University of Science and Technology, Hong Kong, China
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong Science Park, Hong Kong, China
- Guangdong Provincial Key Laboratory of Brain Science, Disease and Drug Development, HKUST Shenzhen Research Institute, Shenzhen–Hong Kong Institute of Brain Science, Shenzhen, China
| | - Nancy Y. Ip
- Division of Life Science, State Key Laboratory of Molecular Neuroscience and Molecular Neuroscience Center, The Hong Kong University of Science and Technology, Hong Kong, China
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong Science Park, Hong Kong, China
- Guangdong Provincial Key Laboratory of Brain Science, Disease and Drug Development, HKUST Shenzhen Research Institute, Shenzhen–Hong Kong Institute of Brain Science, Shenzhen, China
- *Correspondence: Nancy Y. Ip,
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21
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Lim YY, Baker JE, Bruns L, Mills A, Fowler C, Fripp J, Rainey-Smith SR, Ames D, Masters CL, Maruff P. Association of deficits in short-term learning and Aβ and hippocampal volume in cognitively normal adults. Neurology 2020; 95:e2577-e2585. [PMID: 32887774 DOI: 10.1212/wnl.0000000000010728] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2019] [Accepted: 06/04/2020] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To determine the extent to which deficits in learning over 6 days are associated with β-amyloid-positive (Aβ+) and hippocampal volume in cognitively normal (CN) adults. METHODS Eighty CN older adults who had undergone PET neuroimaging to determine Aβ status (n = 42 Aβ- and 38 Aβ+), MRI to determine hippocampal and ventricular volume, and repeated assessment of memory were recruited from the Australian Imaging, Biomarkers and Lifestyle (AIBL) study. Participants completed the Online Repeatable Cognitive Assessment-Language Learning Test (ORCA-LLT), which required they learn associations between 50 Chinese characters and their English language equivalents over 6 days. ORCA-LLT assessments were supervised on the first day and were completed remotely online for all remaining days. RESULTS Learning curves in the Aβ+ CN participants were significantly worse than those in matched Aβ- CN participants, with the magnitude of this difference very large (d [95% confidence interval (CI)] 2.22 [1.64-2.75], p < 0.001), and greater than differences between these groups for memory decline since their enrollment in AIBL (d [95% CI] 0.52 [0.07-0.96], p = 0.021), or memory impairment at their most recent visit. In Aβ+ CN adults, slower rates of learning were associated with smaller hippocampal and larger ventricular volumes. CONCLUSIONS These results suggest that in CN participants, Aβ+ is associated more strongly with a deficit in learning than any aspect of memory dysfunction. Slower rates of learning in Aβ+ CN participants were associated with hippocampal volume loss. Considered together, these data suggest that the primary cognitive consequence of Aβ+ is a failure to benefit from experience when exposed to novel stimuli, even over very short periods.
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Affiliation(s)
- Yen Ying Lim
- From Florey Institute of Neuroscience and Mental Health (Y.Y.L., J.E.B., A.M., C.F., C.L.M., P.M.), Parkville; Turner Institute for Brain and Mental Health (Y.Y.L., A.M.), School of Psychological Sciences, Monash University, Clayton; School of Computing and Information Systems (L.B.), The University of Melbourne, Parkville, Victoria; CSIRO Health and Biosecurity (J.F.), Australian e-Health Research Centre, Brisbane; Centre of Excellence for Alzheimer's Disease Research and Care (S.R.R.-S.), School of Medical Sciences, Edith Cowan University; Sir James McCusker Alzheimer's Disease Research Unit (Hollywood Private Hospital) (S.R.R.-S.), Perth; National Ageing Research Institute (D.A.), Parkville, Victoria; Academic Unit for Psychiatry of Old Age, Department of Psychiatry (D.A.), The University of Melbourne, St. George's Hospital, Kew; and Cogstate Ltd. (P.M.), Melbourne, Victoria, Australia.
| | - Jenalle E Baker
- From Florey Institute of Neuroscience and Mental Health (Y.Y.L., J.E.B., A.M., C.F., C.L.M., P.M.), Parkville; Turner Institute for Brain and Mental Health (Y.Y.L., A.M.), School of Psychological Sciences, Monash University, Clayton; School of Computing and Information Systems (L.B.), The University of Melbourne, Parkville, Victoria; CSIRO Health and Biosecurity (J.F.), Australian e-Health Research Centre, Brisbane; Centre of Excellence for Alzheimer's Disease Research and Care (S.R.R.-S.), School of Medical Sciences, Edith Cowan University; Sir James McCusker Alzheimer's Disease Research Unit (Hollywood Private Hospital) (S.R.R.-S.), Perth; National Ageing Research Institute (D.A.), Parkville, Victoria; Academic Unit for Psychiatry of Old Age, Department of Psychiatry (D.A.), The University of Melbourne, St. George's Hospital, Kew; and Cogstate Ltd. (P.M.), Melbourne, Victoria, Australia
| | - Loren Bruns
- From Florey Institute of Neuroscience and Mental Health (Y.Y.L., J.E.B., A.M., C.F., C.L.M., P.M.), Parkville; Turner Institute for Brain and Mental Health (Y.Y.L., A.M.), School of Psychological Sciences, Monash University, Clayton; School of Computing and Information Systems (L.B.), The University of Melbourne, Parkville, Victoria; CSIRO Health and Biosecurity (J.F.), Australian e-Health Research Centre, Brisbane; Centre of Excellence for Alzheimer's Disease Research and Care (S.R.R.-S.), School of Medical Sciences, Edith Cowan University; Sir James McCusker Alzheimer's Disease Research Unit (Hollywood Private Hospital) (S.R.R.-S.), Perth; National Ageing Research Institute (D.A.), Parkville, Victoria; Academic Unit for Psychiatry of Old Age, Department of Psychiatry (D.A.), The University of Melbourne, St. George's Hospital, Kew; and Cogstate Ltd. (P.M.), Melbourne, Victoria, Australia
| | - Andrea Mills
- From Florey Institute of Neuroscience and Mental Health (Y.Y.L., J.E.B., A.M., C.F., C.L.M., P.M.), Parkville; Turner Institute for Brain and Mental Health (Y.Y.L., A.M.), School of Psychological Sciences, Monash University, Clayton; School of Computing and Information Systems (L.B.), The University of Melbourne, Parkville, Victoria; CSIRO Health and Biosecurity (J.F.), Australian e-Health Research Centre, Brisbane; Centre of Excellence for Alzheimer's Disease Research and Care (S.R.R.-S.), School of Medical Sciences, Edith Cowan University; Sir James McCusker Alzheimer's Disease Research Unit (Hollywood Private Hospital) (S.R.R.-S.), Perth; National Ageing Research Institute (D.A.), Parkville, Victoria; Academic Unit for Psychiatry of Old Age, Department of Psychiatry (D.A.), The University of Melbourne, St. George's Hospital, Kew; and Cogstate Ltd. (P.M.), Melbourne, Victoria, Australia
| | - Christopher Fowler
- From Florey Institute of Neuroscience and Mental Health (Y.Y.L., J.E.B., A.M., C.F., C.L.M., P.M.), Parkville; Turner Institute for Brain and Mental Health (Y.Y.L., A.M.), School of Psychological Sciences, Monash University, Clayton; School of Computing and Information Systems (L.B.), The University of Melbourne, Parkville, Victoria; CSIRO Health and Biosecurity (J.F.), Australian e-Health Research Centre, Brisbane; Centre of Excellence for Alzheimer's Disease Research and Care (S.R.R.-S.), School of Medical Sciences, Edith Cowan University; Sir James McCusker Alzheimer's Disease Research Unit (Hollywood Private Hospital) (S.R.R.-S.), Perth; National Ageing Research Institute (D.A.), Parkville, Victoria; Academic Unit for Psychiatry of Old Age, Department of Psychiatry (D.A.), The University of Melbourne, St. George's Hospital, Kew; and Cogstate Ltd. (P.M.), Melbourne, Victoria, Australia
| | - Jurgen Fripp
- From Florey Institute of Neuroscience and Mental Health (Y.Y.L., J.E.B., A.M., C.F., C.L.M., P.M.), Parkville; Turner Institute for Brain and Mental Health (Y.Y.L., A.M.), School of Psychological Sciences, Monash University, Clayton; School of Computing and Information Systems (L.B.), The University of Melbourne, Parkville, Victoria; CSIRO Health and Biosecurity (J.F.), Australian e-Health Research Centre, Brisbane; Centre of Excellence for Alzheimer's Disease Research and Care (S.R.R.-S.), School of Medical Sciences, Edith Cowan University; Sir James McCusker Alzheimer's Disease Research Unit (Hollywood Private Hospital) (S.R.R.-S.), Perth; National Ageing Research Institute (D.A.), Parkville, Victoria; Academic Unit for Psychiatry of Old Age, Department of Psychiatry (D.A.), The University of Melbourne, St. George's Hospital, Kew; and Cogstate Ltd. (P.M.), Melbourne, Victoria, Australia
| | - Stephanie R Rainey-Smith
- From Florey Institute of Neuroscience and Mental Health (Y.Y.L., J.E.B., A.M., C.F., C.L.M., P.M.), Parkville; Turner Institute for Brain and Mental Health (Y.Y.L., A.M.), School of Psychological Sciences, Monash University, Clayton; School of Computing and Information Systems (L.B.), The University of Melbourne, Parkville, Victoria; CSIRO Health and Biosecurity (J.F.), Australian e-Health Research Centre, Brisbane; Centre of Excellence for Alzheimer's Disease Research and Care (S.R.R.-S.), School of Medical Sciences, Edith Cowan University; Sir James McCusker Alzheimer's Disease Research Unit (Hollywood Private Hospital) (S.R.R.-S.), Perth; National Ageing Research Institute (D.A.), Parkville, Victoria; Academic Unit for Psychiatry of Old Age, Department of Psychiatry (D.A.), The University of Melbourne, St. George's Hospital, Kew; and Cogstate Ltd. (P.M.), Melbourne, Victoria, Australia
| | - David Ames
- From Florey Institute of Neuroscience and Mental Health (Y.Y.L., J.E.B., A.M., C.F., C.L.M., P.M.), Parkville; Turner Institute for Brain and Mental Health (Y.Y.L., A.M.), School of Psychological Sciences, Monash University, Clayton; School of Computing and Information Systems (L.B.), The University of Melbourne, Parkville, Victoria; CSIRO Health and Biosecurity (J.F.), Australian e-Health Research Centre, Brisbane; Centre of Excellence for Alzheimer's Disease Research and Care (S.R.R.-S.), School of Medical Sciences, Edith Cowan University; Sir James McCusker Alzheimer's Disease Research Unit (Hollywood Private Hospital) (S.R.R.-S.), Perth; National Ageing Research Institute (D.A.), Parkville, Victoria; Academic Unit for Psychiatry of Old Age, Department of Psychiatry (D.A.), The University of Melbourne, St. George's Hospital, Kew; and Cogstate Ltd. (P.M.), Melbourne, Victoria, Australia
| | - Colin L Masters
- From Florey Institute of Neuroscience and Mental Health (Y.Y.L., J.E.B., A.M., C.F., C.L.M., P.M.), Parkville; Turner Institute for Brain and Mental Health (Y.Y.L., A.M.), School of Psychological Sciences, Monash University, Clayton; School of Computing and Information Systems (L.B.), The University of Melbourne, Parkville, Victoria; CSIRO Health and Biosecurity (J.F.), Australian e-Health Research Centre, Brisbane; Centre of Excellence for Alzheimer's Disease Research and Care (S.R.R.-S.), School of Medical Sciences, Edith Cowan University; Sir James McCusker Alzheimer's Disease Research Unit (Hollywood Private Hospital) (S.R.R.-S.), Perth; National Ageing Research Institute (D.A.), Parkville, Victoria; Academic Unit for Psychiatry of Old Age, Department of Psychiatry (D.A.), The University of Melbourne, St. George's Hospital, Kew; and Cogstate Ltd. (P.M.), Melbourne, Victoria, Australia
| | - Paul Maruff
- From Florey Institute of Neuroscience and Mental Health (Y.Y.L., J.E.B., A.M., C.F., C.L.M., P.M.), Parkville; Turner Institute for Brain and Mental Health (Y.Y.L., A.M.), School of Psychological Sciences, Monash University, Clayton; School of Computing and Information Systems (L.B.), The University of Melbourne, Parkville, Victoria; CSIRO Health and Biosecurity (J.F.), Australian e-Health Research Centre, Brisbane; Centre of Excellence for Alzheimer's Disease Research and Care (S.R.R.-S.), School of Medical Sciences, Edith Cowan University; Sir James McCusker Alzheimer's Disease Research Unit (Hollywood Private Hospital) (S.R.R.-S.), Perth; National Ageing Research Institute (D.A.), Parkville, Victoria; Academic Unit for Psychiatry of Old Age, Department of Psychiatry (D.A.), The University of Melbourne, St. George's Hospital, Kew; and Cogstate Ltd. (P.M.), Melbourne, Victoria, Australia
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Goetzl EJ. Advancing medicine for Alzheimer's disease: A plasma neural exosome platform. FASEB J 2020; 34:13079-13084. [PMID: 32856798 DOI: 10.1096/fj.202001655] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Accepted: 07/27/2020] [Indexed: 12/20/2022]
Abstract
Enrichment of neurally derived extracellular vesicles of several cell-types from plasma for protein quantification longitudinally in living patients with Alzheimer's disease has permitted the development of a tentative temporal framework of initiating events, progression mechanisms, and amplification processes. Interactions of beta-amyloid peptides with an elevated level of their normal prion protein dendritic receptor and of phospho-tau species with their synaptogyrin-3 synaptic vesicle receptor replace excessive production and accumulation of neuropathic proteins as the major initiating events. Synaptic dysfunction and microvascular angiopathy are confirmed as early progression mechanisms of decreased neuronal network connectivity, hypoxia, altered blood-brain barrier, and neurocellular degeneration. Neurally derived extracellular vesicle protein abnormalities also reveal a range of later amplification processes that encompasses insulin resistance, lysosomal defects, decreased survival factors, increased reactive oxygen species, and excessive neuroinflammation. New potential therapeutic targets also are suggested as well as the likely timing of their pathogenic engagement.
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Affiliation(s)
- Edward J Goetzl
- Department of Medicine, University of California Medical Center, San Francisco, CA, USA.,Geriatric Research Center, Campus for Jewish Living, San Francisco, CA, USA
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23
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Kauppi K, Rönnlund M, Nordin Adolfsson A, Pudas S, Adolfsson R. Effects of polygenic risk for Alzheimer's disease on rate of cognitive decline in normal aging. Transl Psychiatry 2020; 10:250. [PMID: 32709845 PMCID: PMC7381667 DOI: 10.1038/s41398-020-00934-y] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Revised: 06/24/2020] [Accepted: 07/09/2020] [Indexed: 12/11/2022] Open
Abstract
Most people's cognitive abilities decline with age, with significant and partly genetically driven, individual differences in rate of change. Although APOE ɛ4 and genetic scores for late-onset Alzheimer's disease (LOAD) have been related to cognitive decline during preclinical stages of dementia, there is limited knowledge concerning genetic factors implied in normal cognitive aging. In the present study, we examined three potential genetic predictors of age-related cognitive decline as follows: (1) the APOE ɛ4 allele, (2) a polygenic score for general cognitive ability (PGS-cog), and (3) a polygenic risk score for late-onset AD (PRS-LOAD). We examined up to six time points of cognitive measurements in the longitudinal population-based Betula study, covering a 25-year follow-up period. Only participants that remained alive and non-demented until the most recent dementia screening (1-3 years after the last test occasion) were included (n = 1087). Individual differences in rate of cognitive change (composite score) were predicted by the PRS-LOAD and APOE ɛ4, but not by PGS-cog. To control for the possibility that the results reflected a preclinical state of Alzheimer's disease in some participants, we re-ran the analyses excluding cognitive data from the last test occasion to model cognitive change up-until a minimum of 6 years before potential onset of clinical Alzheimers. Strikingly, the association of PRS-LOAD, but not APOE ɛ4, with cognitive change remained. The results indicate that PRS-LOAD predicts individual difference in rate of cognitive decline in normal aging, but it remains to be determined to what extent this reflects preclinical Alzheimer's disease brain pathophysiology and subsequent risk to develop the disease.
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Affiliation(s)
- Karolina Kauppi
- Department of Integrative Medical Biologi, Umeå University, Umeå, Sweden. .,Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
| | - Michael Rönnlund
- grid.12650.300000 0001 1034 3451Department of Psychology, Umeå University, Umeå, Sweden
| | | | - Sara Pudas
- grid.12650.300000 0001 1034 3451Department of Integrative Medical Biologi, Umeå University, Umeå, Sweden
| | - Rolf Adolfsson
- grid.12650.300000 0001 1034 3451Department of Clinical Sciences, Umeå University, Umeå, Sweden
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Porter T, Burnham SC, Savage G, Lim YY, Maruff P, Milicic L, Peretti M, Ames D, Masters CL, Martins RN, Rainey-Smith S, Rowe CC, Salvado O, Taddei K, Groth D, Verdile G, Villemagne VL, Laws SM. A Polygenic Risk Score Derived From Episodic Memory Weighted Genetic Variants Is Associated With Cognitive Decline in Preclinical Alzheimer's Disease. Front Aging Neurosci 2018; 10:423. [PMID: 30620773 PMCID: PMC6305908 DOI: 10.3389/fnagi.2018.00423] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2018] [Accepted: 12/06/2018] [Indexed: 01/29/2023] Open
Abstract
Studies of Alzheimer’s disease risk-weighted polygenic risk scores (PRSs) for cognitive performance have reported inconsistent associations. This inconsistency is particularly evident when PRSs are assessed independent of APOE genotype. As such, the development and assessment of phenotype-specific weightings to derive PRSs for cognitive decline in preclinical AD is warranted. To this end a episodic memory-weighted PRS (emPRS) was derived and assessed against decline in cognitive performance in 226 healthy cognitively normal older adults with high brain Aβ-amyloid burden participants from the Australian Imaging, Biomarkers and Lifestyle (AIBL) study. The effect size for decline in a verbal episodic memory was determined individually for 27 genetic variants in a reference sample (n = 151). These were then summed to generate a emPRS either including APOE (emPRSc¯APOE) or excluding APOE (emPRSs¯APOE). Resultant emPRS were then evaluated, in a test sample (n = 75), against decline in global cognition, verbal episodic memory and a pre-Alzheimer’s cognitive composite (AIBL-PACC) over 7.5 years. The mean (SD) age of the 226 participants was 72.2 (6.6) years and 116 (51.3%) were female. Reference and test samples did not differ significantly demographically. Whilst no association of emPRSs were observed with baseline cognition, the emPRSc¯APOE was associated with longitudinal global cognition (-0.237, P = 0.0002), verbal episodic memory (-0.259, P = 0.00003) and the AIBL-PACC (-0.381, P = 0.02). The emPRSs¯APOE was also associated with global cognition (-0.169, P = 0.021) and verbal episodic memory (-0.208, P = 0.004). Stratification by APOE ε4 revealed that the association between the emPRS and verbal episodic memory was limited to carriage of no ε4 or one ε4 allele. This was also observed for global cognition. The emPRS and rates of decline in AIBL-PACC were associated in those carrying one ε4 allele. Overall, the described novel emPRS has utility for the prediction of decline in cognition in preclinical AD. This study provides evidence to support the further use and evaluation of phenotype weightings in PRS development.
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Affiliation(s)
- Tenielle Porter
- Collaborative Genomics Group, Centre of Excellence for Alzheimer's Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia.,Cooperative Research Centre (CRC) for Mental Health, Carlton, VIC, Australia
| | - Samantha C Burnham
- CSIRO Health and Biosecurity, Parkville, VIC, Australia.,Centre of Excellence for Alzheimer's Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
| | - Greg Savage
- ARC Centre of Excellence in Cognition and its Disorders, Department of Psychology, Macquarie University, North Ryde, NSW, Australia
| | - Yen Ying Lim
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, VIC, Australia
| | - Paul Maruff
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, VIC, Australia.,CogState Ltd., Melbourne, VIC, Australia
| | - Lidija Milicic
- Collaborative Genomics Group, Centre of Excellence for Alzheimer's Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia.,Cooperative Research Centre (CRC) for Mental Health, Carlton, VIC, Australia
| | - Madeline Peretti
- Collaborative Genomics Group, Centre of Excellence for Alzheimer's Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia.,Cooperative Research Centre (CRC) for Mental Health, Carlton, VIC, Australia
| | - David Ames
- Academic Unit for Psychiatry of Old Age, St. Vincent's Health, The University of Melbourne, Kew, VIC, Australia.,National Ageing Research Institute, Parkville, VIC, Australia
| | - Colin L Masters
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, VIC, Australia
| | - Ralph N Martins
- Centre of Excellence for Alzheimer's Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
| | - Stephanie Rainey-Smith
- Centre of Excellence for Alzheimer's Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
| | - Christopher C Rowe
- Department of Nuclear Medicine and Centre for PET, Austin Health, Heidelberg, VIC, Australia
| | | | - Kevin Taddei
- Centre of Excellence for Alzheimer's Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
| | - David Groth
- School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences, Curtin Health Innovation Research Institute, Curtin University, Bentley, WA, Australia
| | - Giuseppe Verdile
- Centre of Excellence for Alzheimer's Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia.,School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences, Curtin Health Innovation Research Institute, Curtin University, Bentley, WA, Australia
| | - Victor L Villemagne
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, VIC, Australia.,Department of Nuclear Medicine and Centre for PET, Austin Health, Heidelberg, VIC, Australia
| | - Simon M Laws
- Collaborative Genomics Group, Centre of Excellence for Alzheimer's Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia.,Cooperative Research Centre (CRC) for Mental Health, Carlton, VIC, Australia.,School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences, Curtin Health Innovation Research Institute, Curtin University, Bentley, WA, Australia
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