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Xiang Q, Lok JJ, Roth N, Andersen SL, Perls TT, Song Z, Yashin AI, Mengel-From J, Patti GJ, Sebastiani P. Causal mediation analysis of the neuroprotection of APOE2 through lipid pathways. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2025:2025.01.03.25319984. [PMID: 39802799 PMCID: PMC11722459 DOI: 10.1101/2025.01.03.25319984] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/21/2025]
Abstract
Background Recent studies have revealed a strong association between the e2 allele of the Apolipoprotein E (APOE2) gene and lipid metabolites. In addition, APOE2 carriers appear to be protected from cognitive decline and Alzheimer's disease. This correlation supports the hypothesis that lipids may mediate the protective effect of APOE2 on cognitive function, thereby providing potential targets for therapeutic intervention. Methods We conducted a causal mediation analysis to estimate both the direct effect of APOE2 and its indirect effect through 19 lipid species on cognitive function, using metrics from the digital Clock Drawing Test (CDT) in 1291 Long Life Family Study (LLFS) participants. The CDT metrics included think-time, ink-time, and their sum as total-time to complete the test. Results Compared to carriers of the common APOE3, APOE2 carriers completed the CDT significantly faster. Two lipids showed protective mediation when elevated in the blood, resulting in shorter CDT think-time (CE 18:3), ink-time (TG 56:5), and total completion time (CE 18:3 and TG 56:5). Elevated TG 56:4, in contrast, showed deleterious mediation resulting in increased ink-time. The combined indirect effect through all lipids significantly mediated 23.1% of the total effect of APOE2 on total-time, reducing it by 0.92s (95% CI: 0.17, 2.00). Additionally, the sum of total indirect effect from all lipids also mediated 27.3% of the total effect on think-time, reducing it by 0.75s, and 13.6% of the total effect on ink-time, reducing it by 0.17s, though these reductions were statistically insignificant. Sensitivity analysis yielded consistent results of the combined indirect effects and total effects and identified additional significant lipid pathways (CE 22:6, TG 51:3, and TG 54:2). Conclusions We found that the combined indirect effect through all lipids could mediate 10%-27% of the total direct effect of APOE2 on CDT times. We identified both protective and deleterious lipids, providing insights for new therapeutics targeting those lipids to modulate the protective effects of APOE2 on cognition.
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Affiliation(s)
- Qingyan Xiang
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Judith J Lok
- Department of Mathematics and Statistics, Boston University, Boston, MA, United States
| | - Nicole Roth
- Section of Geriatrics, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States
| | - Stacy L Andersen
- Section of Geriatrics, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States
| | - Thomas T Perls
- Section of Geriatrics, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States
| | - Zeyuan Song
- Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA, United States
- Tufts University, School of Medicine, Boston, MA, United States
| | - Anatoli I Yashin
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, United States
| | - Jonas Mengel-From
- Department of Public Health, University of Southern Denmark, Denmark
| | - Gary J Patti
- Department of Genetics, Washington University in St. Louis, St. Louis, MO, United States
- Department of Chemistry, Washington University in St. Louis, St. Louis, MO, United States
- Department of Medicine, Washington University in St. Louis, St. Louis, MO, United States
| | - Paola Sebastiani
- Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA, United States
- Tufts University, School of Medicine, Boston, MA, United States
- Data Intensive Study Center, Tufts University, Boston, MA
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Ling Y, Yuan S, Huang X, Tan S, Cheng H, Li L, Li S, Huang L, Xu A, Lyu J. Association between probable sarcopenia and dementia risk: a prospective cohort study with mediation analysis. Transl Psychiatry 2024; 14:398. [PMID: 39353910 PMCID: PMC11445531 DOI: 10.1038/s41398-024-03131-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2023] [Revised: 09/21/2024] [Accepted: 09/24/2024] [Indexed: 10/03/2024] Open
Abstract
The role of alcohol consumption as a mediator in the risk between sarcopenia and dementia remains inadequately studied. There is currently limited research on whether the association between sarcopenia and the risk of Alzheimer's disease (AD) is influenced by genetic susceptibility. Our study incorporated a total of 483,637 baseline non-dementia participants, who were classified into groups of individuals with no sarcopenia and those with probable sarcopenia based on the definition. We employed Cox proportional hazards models to evaluate the association between probable sarcopenia and the risk of all cause dementia (ACD), AD, and vascular dementia (VD). We conducted mediation analysis to explore the role of alcohol consumption in the association between probable sarcopenia and the risk of ACD, AD, and VD. During the median follow-up period of 13.6 years, we documented 9000 new cases of ACD (including 4061 AD and 2025 VD). Fully adjusted multivariate model revealed a significant correlation between probable sarcopenia and elevated risk for ACD (HR = 1.54, 95% CI: 1.46-1.62, p < 0.001), AD (HR = 1.32, 95% CI: 1.21-1.43, p < 0.001), and VD (HR = 1.69, 95% CI: 1.52-1.89, p < 0.001). Mediation analysis elucidates that alcohol consumption explained 12.8%, 15.2%, and 11.1% of the associations of probable sarcopenia with the risk of ACD, AD, and VD, respectively. An interactive relationship prevails between probable sarcopenia and genetic factors (p for interaction <0.001), and regardless of the degree of genetic risk, probable sarcopenia correlates with an elevated AD risk. Our study reveals a significant association between probable sarcopenia and an increased risk of dementia, with alcohol consumption playing a mediating role in this association. There is an interaction between probable sarcopenia and genetic susceptibility related to the risk of AD.
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Affiliation(s)
- Yitong Ling
- Department of Neurology, Jinan University First Affiliated Hospital, Guangzhou, Guangdong, China
| | - Shiqi Yuan
- Department of Neurology, Jinan University First Affiliated Hospital, Guangzhou, Guangdong, China
| | - Xiaxuan Huang
- Department of Neurology, Jinan University First Affiliated Hospital, Guangzhou, Guangdong, China
| | - Shanyuan Tan
- Department of Neurology, Jinan University First Affiliated Hospital, Guangzhou, Guangdong, China
| | - Hongtao Cheng
- School of Nursing, Jinan University, Guangzhou, Guangdong, China
| | - Li Li
- Department of Clinical Research, Jinan University First Affiliated Hospital, Guangzhou, Guangdong, China
| | - Shuna Li
- Department of Clinical Research, Jinan University First Affiliated Hospital, Guangzhou, Guangdong, China
| | - Liying Huang
- Department of Clinical Research, Jinan University First Affiliated Hospital, Guangzhou, Guangdong, China
| | - Anding Xu
- Department of Neurology, Jinan University First Affiliated Hospital, Guangzhou, Guangdong, China.
| | - Jun Lyu
- Department of Clinical Research, Jinan University First Affiliated Hospital, Guangzhou, Guangdong, China.
- Guangdong Provincial Key Laboratory of Traditional Chinese Medicine Informatization, Guangzhou, Guangdong, China.
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Kang M, Li C, Mahajan A, Spat-Lemus J, Durape S, Chen J, Gurnani AS, Devine S, Auerbach SH, Ang TFA, Sherva R, Qiu WQ, Lunetta KL, Au R, Farrer LA, Mez J. Subjective Cognitive Decline Plus and Longitudinal Assessment and Risk for Cognitive Impairment. JAMA Psychiatry 2024; 81:993-1002. [PMID: 38959008 PMCID: PMC11223054 DOI: 10.1001/jamapsychiatry.2024.1678] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2024] [Accepted: 04/17/2024] [Indexed: 07/04/2024]
Abstract
Importance Subjective cognitive decline (SCD) is recognized to be in the Alzheimer disease (AD) cognitive continuum. The SCD Initiative International Working Group recently proposed SCD-plus (SCD+) features that increase risk for future objective cognitive decline but that have not been assessed in a large community-based setting. Objective To assess SCD risk for mild cognitive impairment (MCI), AD, and all-cause dementia, using SCD+ criteria among cognitively normal adults. Design, Setting, and Participants The Framingham Heart Study, a community-based prospective cohort study, assessed SCD between 2005 and 2019, with up to 12 years of follow-up. Participants 60 years and older with normal cognition at analytic baseline were included. Cox proportional hazards (CPH) models were adjusted for baseline age, sex, education, APOE ε4 status, and tertiles of AD polygenic risk score (PRS), excluding the APOE region. Data were analyzed from May 2021 to November 2023. Exposure SCD was assessed longitudinally using a single question and considered present if endorsed at the last cognitively normal visit. It was treated as a time-varying variable, beginning at the first of consecutive, cognitively normal visits, including the last, at which it was endorsed. Main Outcomes and Measures Consensus-diagnosed MCI, AD, and all-cause dementia. Results This study included 3585 participants (mean [SD] baseline age, 68.0 [7.7] years; 1975 female [55.1%]). A total of 1596 participants (44.5%) had SCD, and 770 (21.5%) were carriers of APOE ε4. APOE ε4 and tertiles of AD PRS status did not significantly differ between the SCD and non-SCD groups. MCI, AD, and all-cause dementia were diagnosed in 236 participants (6.6%), 73 participants (2.0%), and 89 participants (2.5%), respectively, during follow-up. On average, SCD preceded MCI by 4.4 years, AD by 6.8 years, and all-cause dementia by 6.9 years. SCD was significantly associated with survival time to MCI (hazard ratio [HR], 1.57; 95% CI, 1.22-2.03; P <.001), AD (HR, 2.98; 95% CI, 1.89-4.70; P <.001), and all-cause dementia (HR, 2.14; 95% CI, 1.44-3.18; P <.001). After adjustment for APOE and AD PRS, the hazards of SCD were largely unchanged. Conclusions and Relevance Results of this cohort study suggest that in a community setting, SCD reflecting SCD+ features was associated with an increased risk of future MCI, AD, and all-cause dementia with similar hazards estimated in clinic-based settings. SCD may be an independent risk factor for AD and other dementias beyond the risk incurred by APOE ε4 and AD PRS.
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Affiliation(s)
- Moonil Kang
- Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
- Department of Medicine (Biomedical Genetics), Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
| | - Clara Li
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Arnav Mahajan
- George Washington University School of Medicine and Health Sciences, Washington, DC
| | - Jessica Spat-Lemus
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York
- Department of Psychology, Montclair State University, Montclair, New Jersey
| | - Shruti Durape
- Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
- Alzheimer’s Disease Research Center, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
| | - Jiachen Chen
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
| | - Ashita S. Gurnani
- Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
| | - Sherral Devine
- Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
- Department of Anatomy & Neurobiology, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
| | - Sanford H. Auerbach
- Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
| | - Ting Fang Alvin Ang
- Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
- Department of Anatomy & Neurobiology, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
- Slone Epidemiology Center, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
| | - Richard Sherva
- Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
- Department of Medicine (Biomedical Genetics), Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
| | - Wei Qiao Qiu
- Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
- Alzheimer’s Disease Research Center, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
- Department of Pharmacology & Experimental Therapeutics, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
- Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
| | - Kathryn L. Lunetta
- Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
| | - Rhoda Au
- Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
- Alzheimer’s Disease Research Center, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
- Department of Anatomy & Neurobiology, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
- Slone Epidemiology Center, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts
| | - Lindsay A. Farrer
- Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
- Department of Medicine (Biomedical Genetics), Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
- Alzheimer’s Disease Research Center, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts
- Department of Ophthalmology, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
| | - Jesse Mez
- Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
- Alzheimer’s Disease Research Center, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
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Mistry H, Richardson CD, Higginbottom A, Ashford B, Ahamed SU, Moore Z, Matthews FE, Brayne C, Simpson JE, Wharton SB. Relationships of brain cholesterol and cholesterol biosynthetic enzymes to Alzheimer's pathology and dementia in the CFAS population-derived neuropathology cohort. Neurosci Res 2024; 204:22-33. [PMID: 38278219 PMCID: PMC11192635 DOI: 10.1016/j.neures.2024.01.003] [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: 06/01/2023] [Revised: 01/05/2024] [Accepted: 01/17/2024] [Indexed: 01/28/2024]
Abstract
Altered cholesterol metabolism is implicated in brain ageing and Alzheimer's disease. We examined whether key genes regulating cholesterol metabolism and levels of brain cholesterol are altered in dementia and Alzheimer's disease neuropathological change (ADNC). Temporal cortex (n = 99) was obtained from the Cognitive Function and Ageing Study. Expression of the cholesterol biosynthesis rate-limiting enzyme HMG-CoA reductase (HMGCR) and its regulator, SREBP2, were detected using immunohistochemistry. Expression of HMGCR, SREBP2, CYP46A1 and ABCA1 were quantified by qPCR in samples enriched for astrocyte and neuronal RNA following laser-capture microdissection. Total cortical cholesterol was measured using the Amplex Red assay. HMGCR and SREBP2 proteins were predominantly expressed in pyramidal neurones, and in glia. Neuronal HMGCR did not vary with ADNC, oxidative stress, neuroinflammation or dementia status. Expression of HMGCR neuronal mRNA decreased with ADNC (p = 0.022) and increased with neuronal DNA damage (p = 0.049), whilst SREBP2 increased with ADNC (p = 0.005). High or moderate tertiles for cholesterol levels were associated with increased dementia risk (OR 1.44, 1.58). APOE ε4 allele was not associated with cortical cholesterol levels. ADNC is associated with gene expression changes that may impair cholesterol biosynthesis in neurones but not astrocytes, whilst levels of cortical cholesterol show a weak relationship to dementia status.
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Affiliation(s)
- Hemant Mistry
- Sheffield Institute for Translational Neuroscience, and the Neuroscience Institute, the University of Sheffield, UK
| | | | - Adrian Higginbottom
- Sheffield Institute for Translational Neuroscience, and the Neuroscience Institute, the University of Sheffield, UK
| | - Bridget Ashford
- Sheffield Institute for Translational Neuroscience, and the Neuroscience Institute, the University of Sheffield, UK
| | - Saif U Ahamed
- Sheffield Institute for Translational Neuroscience, and the Neuroscience Institute, the University of Sheffield, UK
| | - Zoe Moore
- Sheffield Institute for Translational Neuroscience, and the Neuroscience Institute, the University of Sheffield, UK
| | | | - Carol Brayne
- Cambridge Public Health, University of Cambridge, UK
| | - Julie E Simpson
- Sheffield Institute for Translational Neuroscience, and the Neuroscience Institute, the University of Sheffield, UK
| | - Stephen B Wharton
- Sheffield Institute for Translational Neuroscience, and the Neuroscience Institute, the University of Sheffield, UK.
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5
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Neale ZE, Fonda JR, Miller MW, Wolf EJ, Zhang R, Sherva R, Harrington KM, Merritt V, Panizzon MS, Hauger RL, Gaziano JM, Logue MW. Subjective cognitive concerns, APOE ε4, PTSD symptoms, and risk for dementia among older veterans. Alzheimers Res Ther 2024; 16:143. [PMID: 38951900 PMCID: PMC11218206 DOI: 10.1186/s13195-024-01512-w] [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: 02/16/2024] [Accepted: 06/20/2024] [Indexed: 07/03/2024]
Abstract
BACKGROUND Posttraumatic stress disorder (PTSD) and traumatic brain injury (TBI) are associated with self-reported problems with cognition as well as risk for Alzheimer's disease and related dementias (ADRD). Overlapping symptom profiles observed in cognitive disorders, psychiatric disorders, and environmental exposures (e.g., head injury) can complicate the detection of early signs of ADRD. The interplay between PTSD, head injury, subjective (self-reported) cognitive concerns and genetic risk for ADRD is also not well understood, particularly in diverse ancestry groups. METHODS Using data from the U.S. Department of Veterans Affairs (VA) Million Veteran Program (MVP), we examined the relationship between dementia risk factors (APOE ε4, PTSD, TBI) and subjective cognitive concerns (SCC) measured in individuals of European (n = 140,921), African (n = 15,788), and Hispanic (n = 8,064) ancestry (EA, AA, and HA, respectively). We then used data from the VA electronic medical record to perform a retrospective survival analysis evaluating PTSD, TBI, APOE ε4, and SCC and their associations with risk of conversion to ADRD in Veterans aged 65 and older. RESULTS PTSD symptoms (B = 0.50-0.52, p < 1E-250) and probable TBI (B = 0.05-0.19, p = 1.51E-07 - 0.002) were positively associated with SCC across all three ancestry groups. APOE ε4 was associated with greater SCC in EA Veterans aged 65 and older (B = 0.037, p = 1.88E-12). Results of Cox models indicated that PTSD symptoms (hazard ratio [HR] = 1.13-1.21), APOE ε4 (HR = 1.73-2.05) and SCC (HR = 1.18-1.37) were positively associated with risk for ADRD across all three ancestry groups. In the EA group, probable TBI also contributed to increased risk of ADRD (HR = 1.18). CONCLUSIONS The findings underscore the value of SCC as an indicator of ADRD risk in Veterans 65 and older when considered in conjunction with other influential genetic, clinical, and demographic risk factors.
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Affiliation(s)
- Zoe E Neale
- National Center for PTSD, Behavioral Sciences Division, VA Boston Healthcare System, 150 South Huntington Ave (116B-2), Boston, MA, 02130, USA
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
- Institute for Genomics in Health (IGH), SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - Jennifer R Fonda
- Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, 02130, USA
- Translational Research Center for TBI and Stress Disorders (TRACTS) and Geriatric Research, Educational and Clinical Center (GRECC), VA Boston Healthcare System, Boston, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Mark W Miller
- National Center for PTSD, Behavioral Sciences Division, VA Boston Healthcare System, 150 South Huntington Ave (116B-2), Boston, MA, 02130, USA
- Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, 02130, USA
| | - Erika J Wolf
- National Center for PTSD, Behavioral Sciences Division, VA Boston Healthcare System, 150 South Huntington Ave (116B-2), Boston, MA, 02130, USA
- Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, 02130, USA
| | - Rui Zhang
- National Center for PTSD, Behavioral Sciences Division, VA Boston Healthcare System, 150 South Huntington Ave (116B-2), Boston, MA, 02130, USA
| | - Richard Sherva
- Biomedical Genetics, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, 02130, USA
| | - Kelly M Harrington
- Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, 02130, USA
- Million Veteran Program (MVP) Coordinating Center, VA Boston Healthcare System, Boston, MA, USA
| | - Victoria Merritt
- Center of Excellence for Stress and Mental Health, VA San Diego Healthcare System, San Diego, CA, USA
- Department of Psychiatry, University of California, La Jolla, San Diego, CA, USA
| | - Matthew S Panizzon
- Department of Psychiatry, University of California, La Jolla, San Diego, CA, USA
- Center for Behavior Genetics of Aging, University of California, La Jolla, San Diego, CA, USA
| | - Richard L Hauger
- Center of Excellence for Stress and Mental Health, VA San Diego Healthcare System, San Diego, CA, USA
- Department of Psychiatry, University of California, La Jolla, San Diego, CA, USA
- Center for Behavior Genetics of Aging, University of California, La Jolla, San Diego, CA, USA
| | - J Michael Gaziano
- Million Veteran Program (MVP) Coordinating Center, VA Boston Healthcare System, Boston, MA, USA
- Division of Aging, Brigham & Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Mark W Logue
- National Center for PTSD, Behavioral Sciences Division, VA Boston Healthcare System, 150 South Huntington Ave (116B-2), Boston, MA, 02130, USA.
- Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, 02130, USA.
- Biomedical Genetics, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, 02130, USA.
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA.
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6
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Morrison C, Oliver MD, Berry V, Kamal F, Dadar M. The influence of APOE status on rate of cognitive decline. GeroScience 2024; 46:3263-3274. [PMID: 38253819 PMCID: PMC11009190 DOI: 10.1007/s11357-024-01069-4] [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: 08/21/2023] [Accepted: 01/05/2024] [Indexed: 01/24/2024] Open
Abstract
BACKGROUND Apolipoprotein (APOE) ɛ4 positivity and subjective cognitive decline (SCD) both increase risk of Alzheimer's disease (AD) development. However, few studies have examined the relationship between SCD and APOE status, especially using longitudinal data. The current study examined whether APOE is associated with the rate of cognitive change in SCD and mild cognitive impairment (MCI). METHODS A sample of 3494 older adults (1990 normal controls, NC, 775 SCD, and 729 MCI) with a mean follow-up of 9.09 years were included from the Rush Alzheimer's Disease Center Research Sharing Hub. Linear mixed effects models examined the relationship between APOE status and cognitive change in older adults with SCD normal controls, and people with MCI. RESULTS The presence of at least one ɛ2 allele in SCD and MCI results in cognitive change rates similar to a NC with the ɛ3ɛ3 genotype. Older adult SCD-ɛ4 individuals exhibited increased rate of cognitive decline compared to all groups, including NC-ɛ4 and MCI-ɛ4. CONCLUSION People with SCD with at least one ɛ4 allele experience increased rates of cognitive decline compared to cognitively healthy older adults and people with MCI. These findings have important implications for treatments and interventions and can improve future research and clinical trials by targeting people in the preclinical AD phase (i.e., SCD) who also possess at least one APOE ɛ4 allele.
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Affiliation(s)
- Cassandra Morrison
- Department of Psychology, Carleton University, Ontario, K1S 5B6, Canada.
| | - Michael D Oliver
- Department of Psychological Science and Neuroscience, Belmont University, Nashville, TN, 37212, USA
- Belmont Data Collaborative, Belmont University, Nashville, TN, 37212, USA
| | - Virginia Berry
- Department of Psychological Science and Neuroscience, Belmont University, Nashville, TN, 37212, USA
| | - Farooq Kamal
- Department of Psychiatry, McGill University, Montreal, QC, H3A 1A1, Canada
- Douglas Mental Health University Institute, Montreal, QC, H4H 1R3, Canada
| | - Mahsa Dadar
- Department of Psychiatry, McGill University, Montreal, QC, H3A 1A1, Canada
- Douglas Mental Health University Institute, Montreal, QC, H4H 1R3, Canada
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7
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Sampatakakis SN, Roma M, Scarmeas N. Subjective Cognitive Decline and Genetic Propensity for Dementia beyond Apolipoprotein ε 4: A Systematic Review. Curr Issues Mol Biol 2024; 46:1975-1986. [PMID: 38534745 DOI: 10.3390/cimb46030129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2024] [Revised: 02/28/2024] [Accepted: 03/01/2024] [Indexed: 03/28/2024] Open
Abstract
Subjective cognitive decline (SCD) has been described as a probable early stage of dementia, as it has consistently appeared to precede the onset of objective cognitive impairment. SCD is related to many risk factors, including genetic predisposition for dementia. The Apolipoprotein (APOE) ε4 allele, which has been thoroughly studied, seems to explain genetic risk for SCD only partially. Therefore, we aimed to summarize existing data regarding genetic factors related to SCD, beyond APOE ε4, in order to improve our current understanding of SCD. We conducted a PRISMA systematic search in PubMed/MEDLINE and Embase databases using the keywords "subjective cognitive decline" and "genetic predisposition" with specific inclusion and exclusion criteria. From the 270 articles identified, 16 were finally included for the qualitative analysis. Family history of Alzheimer's disease (AD) in regard to SCD was explored in eight studies, with conflicting results. Other genes implicated in SCD, beyond APOE ε4, were investigated in six studies, which were not strong enough to provide clear conclusions. Very few data have been published regarding the association of polygenic risk for AD and SCD. Thus, many more genes related to AD must be studied, with polygenic risk scores appearing to be really promising for future investigation.
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Affiliation(s)
- Stefanos N Sampatakakis
- 1st Department of Neurology, Aiginition Hospital, Athens Medical School, National and Kapodistrian University, 11528 Athens, Greece
| | - Maria Roma
- 1st Department of Neurology, Aiginition Hospital, Athens Medical School, National and Kapodistrian University, 11528 Athens, Greece
| | - Nikolaos Scarmeas
- 1st Department of Neurology, Aiginition Hospital, Athens Medical School, National and Kapodistrian University, 11528 Athens, Greece
- Department of Neurology, The Gertrude H. Sergievsky Center, Taub Institute for Research in Alzheimer's Disease and the Aging Brain, Columbia University, New York, NY 10027, USA
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Evans SA, Paitel ER, Bhasin R, Nielson KA. Genetic Risk for Alzheimer's Disease Alters Perceived Executive Dysfunction in Cognitively Healthy Middle-Aged and Older Adults. J Alzheimers Dis Rep 2024; 8:267-279. [PMID: 38405345 PMCID: PMC10894609 DOI: 10.3233/adr-230166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Accepted: 01/17/2024] [Indexed: 02/27/2024] Open
Abstract
Background Subjective cognitive complaints (SCC) may be an early indicator of future cognitive decline. However, findings comparing SCC and objective cognitive performance have varied, particularly in the memory domain. Even less well established is the relationship between subjective and objective complaints in non-amnestic domains, such as in executive functioning, despite evidence indicating very early changes in these domains. Moreover, particularly early changes in both amnestic and non-amnestic domains are apparent in those carrying the Apolipoprotein-E ɛ4 allele, a primary genetic risk for Alzheimer's disease (AD). Objective This study investigated the role of the ɛ4 allele in the consistency between subjective and objective executive functioning in 54 healthy, cognitively intact, middle-aged and older adults. Methods Participants (Mage = 64.07, SD = 9.27, range = 48-84; ɛ4+ = 18) completed the Frontal Systems Behavior Scale (FrSBe) Executive Dysfunction Scale (EXECDYS) to measure subjective executive functioning (SEF) and multiple executive functioning tasks, which were condensed into a single factor. Results After accounting for age, depression, and anxiety, objective executive functioning performance significantly predicted SEF. Importantly, ɛ4 moderated this effect. Specifically, those carrying the ɛ4 allele had significantly less accurate self-awareness of their executive functioning compared to ɛ4 non-carriers. Conclusions Utilizing an approach that integrates self-evaluation of executive functioning with objective neurocognitive assessment may help identify the earliest signs of impending cognitive decline, particularly in those with genetic risk for AD. Such an approach could sensitively determine those most prone to future cognitive decline prior to symptom onset, when interventions could be most effective.
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Affiliation(s)
- Sarah A. Evans
- Department of Psychology, Marquette University, Milwaukee, WI, USA
| | | | - Riya Bhasin
- Department of Psychology, Marquette University, Milwaukee, WI, USA
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9
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Waterink L, Masselink LA, van der Lee SJ, Visser LNC, Cleutjens S, van der Schaar J, van Harten AC, Scheltens P, Sikkes SAM, van der Flier WM, Zwan MD. Interest in genetic susceptibility testing and disclosure of AD dementia risk in cognitively normal adults: a survey study. Alzheimers Res Ther 2024; 16:1. [PMID: 38167083 PMCID: PMC10759504 DOI: 10.1186/s13195-023-01364-w] [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: 06/20/2023] [Accepted: 12/03/2023] [Indexed: 01/05/2024]
Abstract
BACKGROUND Apolipoprotein-E (APOE) genetic testing for Alzheimer's disease is becoming more important as clinical trials are increasingly targeting individuals carrying APOE-ε4 alleles. Little is known about the interest in finding out one's genetic risk for Alzheimer's disease in the general population. Our objective was to examine this in a sample of cognitively normal (CN) adults within a population-based online research registry with the goal to implement APOE-ε4 status for trial recruitment. METHODS An online survey was completed by 442 CN participants between the age of 49 and 75 years (56% female) from the Dutch Brain Research Registry. The survey assessed interest in participation in research into, and disclosure of, genetic risk for dementia. The survey assessed interest in participation in research into, and disclosure of, genetic risk for dementia and knowing their genetic risk in different hypothetical risk scenarios (10%, 30%, and 50% genetic risk for dementia at age 85, corresponding to APOEε2/ε2 or ε2/ε3, APOEε3/ε4 or ε2ε4, and APOE-ε4/ε4 genotypes). Cochran's Q and post hoc McNemar tests were used to analyse differences in frequencies across scenarios. RESULTS Most participants were interested in participating in research into and disclosure of their genetic risk (81%). The most reported reason was to contribute to scientific research (94%). Interest was higher in males, whilst lower-educated participants were more often undecided. When provided with different risk scenarios, interest in knowing their risk was somewhat higher in the scenarios with higher risk, i.e. in the 50% (79%) compared to the 10% scenario (73%;χ2(2) = 7.98; p = .005). Most individuals expected they would share their genetic risk with close relatives (77-89%), would participate in medication trials (79-88%), and would make long-term arrangements, e.g. retirement, health care, will (69-82%), with larger proportions for scenarios with higher hypothetical genetic risk. CONCLUSIONS Our findings indicate that the vast majority of CN adults participating in a research registry expresses interest in AD genetic risk research and disclosure. Interest in genetic risk disclosure is higher in scenarios corresponding to the APOE-ε4 genotype. This suggests APOE-ε4 screening within an online research registry is potentially a well-received method to accelerate inclusion for trials.
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Affiliation(s)
- Lisa Waterink
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Boelelaan 1118, 1081, HZ, Amsterdam, The Netherlands.
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, 1081, HV, The Netherlands.
| | - Larissa A Masselink
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Boelelaan 1118, 1081, HZ, Amsterdam, The Netherlands
| | - Sven J van der Lee
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Boelelaan 1118, 1081, HZ, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, 1081, HV, The Netherlands
- Genomics of Neurodegenerative Diseases and Aging, Human Genetics, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
| | - Leonie N C Visser
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Boelelaan 1118, 1081, HZ, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, 1081, HV, The Netherlands
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, 171 77, Stockholm, Sweden
- Department of Medical Psychology, Amsterdam UMC location AMC, University of Amsterdam, Amsterdam, 1105, AZ, the Netherlands
- Amsterdam Public Health research Institute, Quality of Care, Amsterdam, 1105, BP, The Netherlands
| | - Solange Cleutjens
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Boelelaan 1118, 1081, HZ, Amsterdam, The Netherlands
| | - Jetske van der Schaar
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Boelelaan 1118, 1081, HZ, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, 1081, HV, The Netherlands
| | - Argonde C van Harten
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Boelelaan 1118, 1081, HZ, Amsterdam, The Netherlands
| | - Philip Scheltens
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Boelelaan 1118, 1081, HZ, Amsterdam, The Netherlands
- EQT Life Sciences Partners, Amsterdam, 1071, DV, The Netherlands
| | - Sietske A M Sikkes
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Boelelaan 1118, 1081, HZ, Amsterdam, The Netherlands
- Faculty of Behavioural and Movement Sciences, Department of Clinical, Neuro and Developmental Psychology, Vrije Universiteit, Amsterdam, 1081, HV, The Netherlands
| | - Wiesje M van der Flier
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Boelelaan 1118, 1081, HZ, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, 1081, HV, The Netherlands
- Department of Epidemiology and Data Science, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, 1081, HZ, The Netherlands
| | - Marissa D Zwan
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Boelelaan 1118, 1081, HZ, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, 1081, HV, The Netherlands
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10
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Xu S, Ren Y, Liu R, Li Y, Hou T, Wang Y, Wang X, Wang L, Monastero R, Du Y, Cong L, Qiu C. Prevalence and Progression of Subjective Cognitive Decline Among Rural Chinese Older Adults: A Population-Based Study. J Alzheimers Dis 2023:JAD221280. [PMID: 37182880 DOI: 10.3233/jad-221280] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/16/2023]
Abstract
BACKGROUND Few community-based studies have examined occurrence and progression of subjective cognitive decline (SCD). OBJECTIVE To investigate prevalence and progression of SCD among rural-dwelling Chinese elderly people. METHODS This cohort study included 2,488 cognitively unimpaired adults (age≥65 years) who were examined at baseline (2014-2015) and followed in 2018. Demographic, epidemiological, clinical, and neuropsychological data were collected via in-person interviews and clinical examinations following a structured questionnaire. At baseline, SCD was assessed using the self-rated Ascertain Dementia 8-item Questionnaire. At follow-up, Alzheimer's disease (AD) and vascular dementia (VaD) were clinically diagnosed following the international criteria. Data were analyzed using logistic regression models. RESULTS The prevalence of SCD was 40.07%. SCD at baseline was associated with the multivariable-adjusted odds ratio (OR) of 1.51 (95% confidence interval 1.10-2.07) for incident cognitive impairment, no dementia (CIND) and 3.11 (1.64-5.93) for incident AD. Among people with SCD at baseline, the multivariable-adjusted OR of incident CIND was 0.55(0.32-0.96) for hyperlipidemia; the multivariable-adjusted OR of incident AD was 1.21 (1.14-1.30) for older age, 0.32 (0.12-0.88) for high education, 2.60 (1.11-6.08) for carrying APOEɛ4 allele, and 0.34 (0.13-0.86) for high social support, whereas the multivariable-adjusted OR of incident VaD was 6.30 (1.71-23.18) for obesity. CONCLUSION SCD affects over 40% of rural-dwelling cognitively unimpaired older adults in China. SCD is associated with accelerated progression to CIND and AD. Older age, lack of school education, APOEɛ4 allele, and low social support are associated with an increased risk of progression from SCD to AD, whereas obesity is related to accelerated progression to VaD.
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Affiliation(s)
- Shan Xu
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, P. R. China
- Department of Neurology, The First Hospital of Tsinghua University, Beijing, P. R. China
| | - Yifei Ren
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, P. R. China
| | - Rui Liu
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, P. R. China
| | - Yuanjing Li
- Department of Neurobiology, Aging Research Center and Center for Alzheimer Research, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Tingting Hou
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, P. R. China
- Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, P. R. China
- Shandong Provincial Clinical Research Center for Geriatric Neurological Diseases, Jinan, Shandong, P. R. China
| | - Yongxiang Wang
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, P. R. China
- Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, P. R. China
- Shandong Provincial Clinical Research Center for Geriatric Neurological Diseases, Jinan, Shandong, P. R. China
| | - Xiang Wang
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, P. R. China
- Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, P. R. China
- Shandong Provincial Clinical Research Center for Geriatric Neurological Diseases, Jinan, Shandong, P. R. China
| | - Lidan Wang
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, P. R. China
| | - Roberto Monastero
- Department of Biomedicine, Neuroscience and Advanced Diagnostics, University of Palermo, Palermo, Italy
| | - Yifeng Du
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, P. R. China
- Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, P. R. China
- Shandong Provincial Clinical Research Center for Geriatric Neurological Diseases, Jinan, Shandong, P. R. China
| | - Lin Cong
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, P. R. China
- Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, P. R. China
- Shandong Provincial Clinical Research Center for Geriatric Neurological Diseases, Jinan, Shandong, P. R. China
| | - Chengxuan Qiu
- Department of Neurobiology, Aging Research Center and Center for Alzheimer Research, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
- Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, P. R. China
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11
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Lassi M, Fabbiani C, Mazzeo S, Burali R, Vergani AA, Giacomucci G, Moschini V, Morinelli C, Emiliani F, Scarpino M, Bagnoli S, Ingannato A, Nacmias B, Padiglioni S, Micera S, Sorbi S, Grippo A, Bessi V, Mazzoni A. Degradation of EEG microstates patterns in subjective cognitive decline and mild cognitive impairment: Early biomarkers along the Alzheimer's Disease continuum? Neuroimage Clin 2023; 38:103407. [PMID: 37094437 PMCID: PMC10149415 DOI: 10.1016/j.nicl.2023.103407] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Revised: 03/29/2023] [Accepted: 04/14/2023] [Indexed: 04/26/2023]
Abstract
Alzheimer's disease (AD) pathological changes may begin up to decades earlier than the appearance of the first symptoms of cognitive decline. Subjective cognitive decline (SCD) could be the first pre-clinical sign of possible AD, which might be followed by mild cognitive impairment (MCI), the initial stage of clinical cognitive decline. However, the neural correlates of these prodromic stages are not completely clear yet. Recent studies suggest that EEG analysis tools characterizing the cortical activity as a whole, such as microstates and cortical regions connectivity, might support a characterization of SCD and MCI conditions. Here we test this approach by performing a broad set of analyses to identify the prominent EEG markers differentiating SCD (n = 57), MCI (n = 46) and healthy control subjects (HC, n = 19). We found that the salient differences were in the temporal structure of the microstates patterns, with MCI being associated with less complex sequences due to the altered transition probability, frequency and duration of canonic microstate C. Spectral content of EEG, network connectivity, and spatial arrangement of microstates were instead largely similar in the three groups. Interestingly, comparing properties of EEG microstates in different cerebrospinal fluid (CSF) biomarkers profiles, we found that canonic microstate C displayed significant differences in topography in AD-like profile. These results show that the progression of dementia might be associated with a degradation of the cortical organization captured by microstates analysis, and that this leads to altered transitions between cortical states. Overall, our approach paves the way for the use of non-invasive EEG recordings in the identification of possible biomarkers of progression to AD from its prodromal states.
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Affiliation(s)
- Michael Lassi
- The BioRobotics Institute and Department of Excellence in Robotics and AI, Sant'Anna School of Advanced Studies, viale Rinaldo Piaggio 34, 56025 Pisa, Italy
| | - Carlo Fabbiani
- IRCCS Fondazione Don Carlo Gnocchi, via di Scandicci, 269, 50143 Florence, Italy
| | - Salvatore Mazzeo
- IRCCS Fondazione Don Carlo Gnocchi, via di Scandicci, 269, 50143 Florence, Italy; Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Careggi University Hospital, viale Gaetano Pieraccini, 6, 50139 Florence, Italy
| | - Rachele Burali
- IRCCS Fondazione Don Carlo Gnocchi, via di Scandicci, 269, 50143 Florence, Italy
| | - Alberto Arturo Vergani
- The BioRobotics Institute and Department of Excellence in Robotics and AI, Sant'Anna School of Advanced Studies, viale Rinaldo Piaggio 34, 56025 Pisa, Italy
| | - Giulia Giacomucci
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Careggi University Hospital, viale Gaetano Pieraccini, 6, 50139 Florence, Italy
| | - Valentina Moschini
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Careggi University Hospital, viale Gaetano Pieraccini, 6, 50139 Florence, Italy
| | - Carmen Morinelli
- Dipartimento Neuromuscolo-scheletrico e degli organi di senso, Careggi University Hospital, 50134 Florence, Italy
| | - Filippo Emiliani
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Careggi University Hospital, viale Gaetano Pieraccini, 6, 50139 Florence, Italy
| | - Maenia Scarpino
- IRCCS Fondazione Don Carlo Gnocchi, via di Scandicci, 269, 50143 Florence, Italy
| | - Silvia Bagnoli
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Careggi University Hospital, viale Gaetano Pieraccini, 6, 50139 Florence, Italy
| | - Assunta Ingannato
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Careggi University Hospital, viale Gaetano Pieraccini, 6, 50139 Florence, Italy
| | - Benedetta Nacmias
- IRCCS Fondazione Don Carlo Gnocchi, via di Scandicci, 269, 50143 Florence, Italy; Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Careggi University Hospital, viale Gaetano Pieraccini, 6, 50139 Florence, Italy
| | - Sonia Padiglioni
- Regional Referral Centre for Relational Criticalities - Tuscany Region, 50139 Florence, Italy
| | - Silvestro Micera
- The BioRobotics Institute and Department of Excellence in Robotics and AI, Sant'Anna School of Advanced Studies, viale Rinaldo Piaggio 34, 56025 Pisa, Italy; Bertarelli Foundation Chair in Translational Neuroengineering, Centre for Neuroprosthetics and Institute of Bioengineering, School of Engineering, École Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland
| | - Sandro Sorbi
- IRCCS Fondazione Don Carlo Gnocchi, via di Scandicci, 269, 50143 Florence, Italy; Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Careggi University Hospital, viale Gaetano Pieraccini, 6, 50139 Florence, Italy
| | - Antonello Grippo
- IRCCS Fondazione Don Carlo Gnocchi, via di Scandicci, 269, 50143 Florence, Italy
| | - Valentina Bessi
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Careggi University Hospital, viale Gaetano Pieraccini, 6, 50139 Florence, Italy
| | - Alberto Mazzoni
- The BioRobotics Institute and Department of Excellence in Robotics and AI, Sant'Anna School of Advanced Studies, viale Rinaldo Piaggio 34, 56025 Pisa, Italy.
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12
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Wang T, Yao Y, Han C, Li T, Du W, Xue J, Han Y, Cai Y. MCP-1 levels in astrocyte-derived exosomes are changed in preclinical stage of Alzheimer's disease. Front Neurol 2023; 14:1119298. [PMID: 37021284 PMCID: PMC10067608 DOI: 10.3389/fneur.2023.1119298] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Accepted: 02/27/2023] [Indexed: 04/07/2023] Open
Abstract
Background Alzheimer's disease (AD) is the most common form of dementia in older adults. There is accumulating evidence that inflammatory processes play a critical role in AD pathogenesis. In this study, we investigated whether inflammatory factors in plasma and astrocyte-derived exosomes (ADEs) from plasma are differentially expressed in the early stages of AD and their potential role in pathological processes in the AD continuum. Method We included 39 normal controls (NCs), 43 participants with subjective cognitive decline (SCD), and 43 participants with amnestic mild cognitive impairment (aMCI)/AD. IL-6, IL-8, and MCP-1 in plasma and ADEs from plasma were evaluated using a commercial multiplex Luminex-based kit. Results Pairwise comparisons between the groups showed no significant differences in plasma levels of IL-6, IL-8, or MCP-1. However, ADEs in the SCD group showed an increase in MCP-1 levels compared to the NC group. To differentiate the preclinical group, discriminant analysis was performed using sex, age, years of education, and genotype. This revealed a difference between the SCD and NC groups (area under the curve: 0.664). A Spearman correlation analysis of MCP-1 in plasma and ADEs showed no or weak correlation in the SCD (R = 0.150, p = 0.350) and aMCI/AD (R = 0.310, p = 0.041) groups, while a positive correlation in the NC group (R = 0.360, p = 0.026). Conclusion Plasma IL-6, IL-8, and MCP-1 levels were not significantly different. However, the concentration of MCP-1 in ADEs is slightly altered during the preclinical phase of AD, which could be a potential role of the central neuron system (CNS) immune response in the AD continuum. Clinical trial registration www.ClinicalTrials.gov, identifier: NCT03370744.
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Affiliation(s)
- Ting Wang
- Department of Biobank, Xuanwu Hospital of Capital Medical University, Beijing, China
- Department of Neurobiology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Yunxia Yao
- Department of Biobank, Xuanwu Hospital of Capital Medical University, Beijing, China
- Department of Neurobiology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Chao Han
- National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Taoran Li
- Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, Jangsu Province Hospital, Nanjing, China
| | - Wenying Du
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Jinhua Xue
- Department of Biobank, Xuanwu Hospital of Capital Medical University, Beijing, China
- Department of Neurobiology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Ying Han
- National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital of Capital Medical University, Beijing, China
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
- Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Xuanwu Hospital of Capital Medical University, Beijing, China
- Ying Han
| | - Yanning Cai
- Department of Biobank, Xuanwu Hospital of Capital Medical University, Beijing, China
- Department of Neurobiology, Xuanwu Hospital of Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital of Capital Medical University, Beijing, China
- Beijing Geriatric Medical Research Center, Xuanwu Hospital of Capital Medical University, Beijing, China
- *Correspondence: Yanning Cai
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13
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Wang J, Song R, Dove A, Qi X, Ma J, Laukka EJ, Bennett DA, Xu W. Pulmonary function is associated with cognitive decline and structural brain differences. Alzheimers Dement 2022; 18:1335-1344. [PMID: 34590419 PMCID: PMC10085529 DOI: 10.1002/alz.12479] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2021] [Revised: 08/12/2021] [Accepted: 08/16/2021] [Indexed: 01/16/2023]
Abstract
The association of poor pulmonary function (PF) with cognitive trajectories and structural brain differences remains unclear. Within the Rush Memory and Aging Project, 1377 dementia-free subjects were followed up to 21 years. PF was assessed with a composite score measured at baseline. Global and domain-specific cognitive function was assessed annually constructed from 19 cognitive tests. A subsample of 351 participants underwent brain magnetic resonance imaging to investigate the cross-sectional association between PF and structural brain volumes. We found that low PF was related to faster decline in global cognition, and domain-specific function including episodic memory, semantic memory, working memory, visuospatial ability, and perceptual speed. In addition, low PF was associated with smaller volumes of total brain, white matter and gray matter, and larger white matter hyperintensities volume. Our results suggest that low PF is associated with faster cognitive decline, and both neurodegeneration and vascular brain lesions may underlie the association.
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Affiliation(s)
- Jiao Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health
- Center for International Collaborative Research on Environment, Nutrition and Public Health
| | - Ruixue Song
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health
- Center for International Collaborative Research on Environment, Nutrition and Public Health
| | - Abigail Dove
- Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Xiuying Qi
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health
- Center for International Collaborative Research on Environment, Nutrition and Public Health
| | - Jun Ma
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Erika J Laukka
- Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
- Stockholm Gerontology Research Center, Stockholm, Sweden
| | - David A. Bennett
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, Illinois, 60612
| | - Weili Xu
- Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
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14
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Hao L, Jia J, Xing Y, Han Y. APOE ε4 Allele Distribution and Association With Scores of Subjective Cognitive Decline Questionnaire 9 in a Large Chinese Memory Clinic Cohort. Front Neurosci 2022; 16:829031. [PMID: 35720695 PMCID: PMC9204235 DOI: 10.3389/fnins.2022.829031] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2021] [Accepted: 05/16/2022] [Indexed: 11/25/2022] Open
Abstract
Background Previous reports on APOE ε4 allele distribution in different populations have been inconclusive. The Subjective Cognitive Decline-Questionnaire 9 (SCD-Q9) was developed to identify those at risk of objective cognitive impairment [OCI; including mild cognitive impairment (MCI) and dementia groups), but its association with APOE ε4 and discriminatory powers for SCDwith subtle cognitive decline (SCDs) and OCI in memory clinics are unclear. Objectives To investigate demographic distribution of APOE ε4, its association with SCD-Q9 scores, and its ability to discriminate SCDs and OCI groups from normal control (NC). Methods A total of 632 participants were recruited (NC = 243, SCDs = 298, OCI = 91). APOE ε4 allele distribution and association with SCD-Q9 scores were calculated and the effects on cognitive impairment were analyzed. Receiver operating characteristic (ROC) analysis was applied to identify discriminatory powers for NC, SCDs, and OCI. Results Total APOE ε4 frequency was 13.1%. This did not vary by demography but was higher in patients with OCI. The SCD-Q9 scores were higher in APOE ε4 carriers than non-carriers in the OCI group. The area under the curve (AUC) for discriminating from OCI using APOE ε4 were 0.587 and 0.575, using SCD-Q9 scores were 0.738 and 0.571 for NC and SCDs groups, respectively. When we combined APOE ε4 and SCD-Q9 scores into the model, the AUC increased to 0.747 for discriminating OCI from NC. However, when OCI group was split into MCI and dementia groups, only total SCD-Q9 score was the independent affecting factor of MCI. Conclusion This study demonstrated that the distribution of APOE ε4 alleles did not vary with different demographic characteristics in a large-scale cohort from a memory clinic. APOE ε4 alleles may be associated with scores of SCD-Q9 reflecting the degree of cognitive complaints but their additional contribution to SCD-Q9 scores is marginal in discriminating between NC, SCDs, and OCI.
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Affiliation(s)
- Lixiao Hao
- Department of General Practice, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Jianguo Jia
- Department of General Practice, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Yue Xing
- Radiological Sciences, Division of Clinical Neuroscience, Queen’s Medical Centre, University of Nottingham, Nottingham, United Kingdom
- *Correspondence: Yue Xing,
| | - Ying Han
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Disorders, Beijing, China
- Center of Alzheimer’s Disease, Beijing Institute for Brain Disorders, Beijing, China
- Ying Han,
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15
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Xie YL, Li JX, Ji WZ, Yao YL. Distribution characteristics of ApoE gene polymorphism in the Tibetan population of Qinghai. EUR J INFLAMM 2022. [DOI: 10.1177/1721727x221095381] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Objective: To understand the distribution characteristics of the relative frequencies of apolipoprotein E (APOE) alleles in Tibetans of Qinghai province, to provide a basis for subsequent research. Method: Polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) was used to determine the APOE genotypes and analyze the distribution characteristics in 96 indigenous Tibetans randomly selected from the Medical Examination Center of Qinghai Provincial People’s Hospital, and the results of this study were compared with those of other ethnic groups in China. Results: The frequencies of E2, E3, and E4 alleles in the 96 subjects were 1.563%, 89.062%, and 9.375%, respectively, and the genotype frequencies were E2/E2 (0%), E2/E3 (3.125%), E2/E4 (0%), E3/E3 (78.125%), E3/E4 (18.750%), and E4/E4 (0%), respectively. The frequency distribution of the ε2 allele in the Tibetan population was lower than that of the Northern Han, Southern Hakka, Hui, Mongolian, and Dai populations of China. The frequency distribution of the ε4 allele in the Tibetan population was of no significant difference compared with that of the Northern Han, Southern Hakka, Hui, and Mongolian populations, but was higher than that of the Dai population. The frequency distribution of the ε3 allele in the Tibetan population was of no significant difference compared with that of the Northern Han, Mongolian, and Dai populations, but higher than that of the Southern Hakka and Mongolian populations. Conclusion: There are ethnic differences in the frequency distribution of the three common alleles of APOE.
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Affiliation(s)
- Yan-Ling Xie
- Department of Endocrinology, Qinghai Provincial People’s Hospital, China
| | - Jian-Xun Li
- Department of Endocrinology, Qinghai Provincial People’s Hospital, China
| | - Wei-Zhong Ji
- Department of Neurology, Qinghai Provincial People’s Hospital, China
| | - Yong-Li Yao
- Department of Endocrinology, Qinghai Provincial People’s Hospital, China
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16
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Brown MJ, Joseph C, James T, Haider MR, Zahnd WE, Cohen SA. Gender and Racial/Ethnic Disparities in Social Determinants of Health and Subjective Cognitive Decline: The Mediating Role of Depression. J Gerontol Nurs 2022; 48:13-22. [PMID: 35103521 PMCID: PMC9003396 DOI: 10.3928/00989134-20220110-01] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
Social determinants of health (SDOH) may be associated with subjective cognitive decline (SCD), which is a precursor for Alzheimer's disease. The main aims of the current study were to examine the association between SDOH and SCD; to determine if there is an indirect pathway among SDOH, depression, and SCD; and to examine the related gender and racial/ethnic disparities. Cross-sectional data were obtained from the 2017 Behavioral Risk Factor Surveillance System Survey (N = 6,509; 2,530 men and 3,978 women aged ≥45 years). Path analyses (stratified by gender and race) were used to determine the relationship between a SDOH index, depression, and SCD. After controlling for gender, age, income, education, employment, and other health-related behaviors, SDOH were positively associated with SCD among the overall population, men, and White populations. SDOH were associated with depression, and depression was associated with SCD among men, women, and White and Black populations. After adjustment for confounders, the indirect pathway among SDOH, depression, and SCD was statistically significant for men (β = 0.035, p < 0.001), women (β = 0.040, p < 0.001), White populations (β = 0.034, p < 0.001), and Black populations (β = 0.036, p = 0.026). Gender and racial/ethnic disparities existed in the relationship among SDOH, depression, and SCD. Future research should assess alternative mediational pathways between SDOH and SCD. [Journal of Gerontological Nursing, 48(2), 13-22.].
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Affiliation(s)
- Monique J. Brown
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina,South Carolina SmartState Center for Healthcare Quality, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina,Rural and Minority Health Research Center, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina,Office for the Study of Aging, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina
| | - Chantaezia Joseph
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina
| | - Titilayo James
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina
| | - Mohammad Rifat Haider
- Department of Health Policy and Management, College of Public Health, University of Georgia, Athens, Georgia
| | - Whitney E. Zahnd
- Department of Health Management and Policy, College of Public Health, University of Iowa, Iowa City, Iowa
| | - Steven A. Cohen
- Department of Health Studies, University of Rhode Island, Kingston, Rhode Island
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17
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Aschwanden D, Sutin AR, Ledermann T, Luchetti M, Stephan Y, Sesker AA, Zhu X, Terracciano A. Subjective Cognitive Decline: Is a Resilient Personality Protective Against Progression to Objective Cognitive Impairment? Findings from Two Community-Based Cohort Studies. J Alzheimers Dis 2022; 89:87-105. [PMID: 35848026 PMCID: PMC9843496 DOI: 10.3233/jad-220319] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
BACKGROUND Subjective cognitive decline (SCD) is related to personality functioning and risk of subsequent objective cognitive impairment. OBJECTIVE The aim of this study was to examine whether lower neuroticism and higher conscientiousness-resilient personality traits-protect against conversion from SCD to objective cognitive impairment in two longitudinal community-based cohorts. METHODS Data from the Health and Retirement Study (N = 1,741, Mean age = 68.64 years, Follow-up mean = 7.34 years) and the National Health and Aging Trends Survey (N = 258, Mean age = 79.34 years, Follow-up mean = 4.31 years) were analyzed using Cox regression analysis, controlling for sociodemographic covariates, symptoms of anxiety and depression, and apolipoprotein ɛ4. RESULTS The pooled results showed that lower neuroticism and higher conscientiousness were associated with decreased risk of conversion from SCD to objective cognitive impairment. CONCLUSION Among individuals with SCD, those with a resilient personality may have more cognitive and psychological reserve to maintain cognitive functioning and delay conversion to objective cognitive impairment. The findings further contribute to a better understanding of personality along the cognitive continuum: The observed effect sizes were smaller than those reported in cognitively normal individuals but larger than in individuals with mild cognitive impairment. Personality could provide useful information to identify individuals with SCD who may develop objective cognitive impairment-namely those who hold a vulnerable personality (higher neuroticism, lower conscientiousness).
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Affiliation(s)
- Damaris Aschwanden
- Department of Geriatrics, Florida State University College of Medicine, Florida, USA
| | - Angelina R. Sutin
- Department of Behavioral Sciences and Social Medicine, Florida State University College of Medicine, Florida, USA
| | - Thomas Ledermann
- Department of Human Development and Family Science, Florida State University College of Health and Human Sciences, Florida, USA
| | - Martina Luchetti
- Department of Behavioral Sciences and Social Medicine, Florida State University College of Medicine, Florida, USA
| | | | - Amanda A. Sesker
- Department of Behavioral Sciences and Social Medicine, Florida State University College of Medicine, Florida, USA
| | - Xianghe Zhu
- Department of Geriatrics, Florida State University College of Medicine, Florida, USA
| | - Antonio Terracciano
- Department of Geriatrics, Florida State University College of Medicine, Florida, USA
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18
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Deng S, Sun L, Chen W, Liu X, Chen S. Effect of APOEε4 on Functional Brain Network in Patients with Subjective Cognitive Decline: A Resting State Functional MRI Study. Int J Gen Med 2021; 14:9761-9771. [PMID: 34934350 PMCID: PMC8684393 DOI: 10.2147/ijgm.s342673] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Accepted: 12/06/2021] [Indexed: 11/29/2022] Open
Abstract
PURPOSE Subjective cognitive decline (SCD) is the earliest symptom stage of Alzheimer's disease (AD), and the APOEε4 allele is the strongest genetic risk factor for sporadic AD. Based on graph theory, the resting state functional connectivity (rsFC) in SCD patients with APOEε4 was studied to explore the effect of APOEε4 on the rsFC network properties of SCD patients. PATIENTS AND METHODS This cross-sectional study included MRI image data from 19 SCD patients with APOEε4 (SCD+), 29 SCD patients without APOEε4 (SCD-), and 30 normal control (NC-) individuals without APOEε4. We generated a binary matrix based on anatomical automatic labeling (AAL) 90 atlas to construct the functional network. We then calculated the whole brain network characteristics and intracerebral node characteristics by graph theory. RESULTS For the whole brain network characteristics, all three groups showed small-worldness. The SCD+ group had increased compensatory information transfer speed and enhanced integration capability. This group also had high heterogeneity for intracerebral node characteristics, mainly in the default mode network, left superior occipital gyrus, and bilateral putamen. CONCLUSION APOEε4 effects the functional brain network in patients with SCD and may be a potential indicator for the identification of SCD.
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Affiliation(s)
- Simin Deng
- The Second School of Clinical Medicine, Southern Medical University, Dongguan Tung Wah Hospital, Guangdong, People’s Republic of China
| | - Lingyu Sun
- Department of Rehabilitation Medicine, Dongguan Tung Wah Hospital, Guangdong, People’s Republic of China
| | - Weijie Chen
- The Second School of Clinical Medicine, Southern Medical University, Dongguan Tung Wah Hospital, Guangdong, People’s Republic of China
| | - Xiaorong Liu
- Department of Rehabilitation Medicine, Dongguan Tung Wah Hospital, Guangdong, People’s Republic of China
| | - Shangjie Chen
- Department of Rehabilitation Medicine, Affiliated Baoan Hospital of Shenzhen, Southern Medical University, Guangdong, People’s Republic of China
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19
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Powell DS, Kuo PL, Qureshi R, Coburn SB, Knopman DS, Palta P, Gottesman R, Griswold M, Albert M, Deal JA, Gross AL. The Relationship of APOE ε4, Race, and Sex on the Age of Onset and Risk of Dementia. Front Neurol 2021; 12:735036. [PMID: 34744974 PMCID: PMC8564142 DOI: 10.3389/fneur.2021.735036] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Accepted: 09/13/2021] [Indexed: 11/16/2022] Open
Abstract
Objective: To investigate whether APOE ε4 genotype—an established risk factor for dementia—is associated with earlier age at diagnosis in addition to increased risk overall and in secondary analysis by race and sex. Methods: We followed up 13,782 dementia-free individuals (n = 10,137 White, n = 3,645 Black, baseline age 60–66 years) in the Atherosclerosis Risk in Communities study for up to 30 years. Dementia was operationalized using standardized algorithms incorporating longitudinal cognitive change, proxy report, and hospital or death certificate dementia codes. We used a mixture of generalized gamma distributions to simultaneously estimate time to dementia, time to dementia-free death, and the proportion of individuals with dementia, by APOE ε4 status (≥1 vs. no alleles). Results: Median age of dementia onset among APOE ε4 carriers was 81.7 (Blacks) and 83.3 years (Whites) compared with 82.6 (Blacks) and 85.7 years (Whites) in non-APOE ε4 carriers (p > 0.05 Blacks; p < 0.01 Whites). Age of dementia diagnosis did not differ by sex in ε4 carriers, but among non-carriers, average age was earlier in males than females regardless of race. APOE ε4 carriers had on average a higher proportion of diagnoses; results did not differ by race or sex. Conclusions:APOE ε4 carrier status is associated with earlier age of dementia diagnosis with differences across race and sex. These findings clarify the causal role of APOE in dementia etiology, which could help better identify at-risk subgroups and may help facilitate better research trial recruitment and design.
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Affiliation(s)
- Danielle S Powell
- Department of Epidemiology, Johns Hopkins University, Baltimore, MD, United States.,Center on Aging and Health, Johns Hopkins University, Baltimore, MD, United States
| | - Pei-Lun Kuo
- Department of Epidemiology, Johns Hopkins University, Baltimore, MD, United States
| | - Riaz Qureshi
- Department of Epidemiology, Johns Hopkins University, Baltimore, MD, United States
| | - Sally B Coburn
- Department of Epidemiology, Johns Hopkins University, Baltimore, MD, United States
| | - David S Knopman
- Department of Neurology, Mayo Clinic, Rochester, MN, United States
| | - Priya Palta
- Division of General Medicine, Columbia University Medical Center, New York, NY, United States
| | - Rebecca Gottesman
- Department of Neurology, Johns Hopkins University, Baltimore, MD, United States
| | - Michael Griswold
- Biostatistics, School of Medicine, University of Mississippi Medical Center, Jackson, MS, United States
| | - Marilyn Albert
- Department of Neurology, Johns Hopkins University, Baltimore, MD, United States
| | - Jennifer A Deal
- Department of Epidemiology, Johns Hopkins University, Baltimore, MD, United States
| | - Alden L Gross
- Department of Epidemiology, Johns Hopkins University, Baltimore, MD, United States.,Center on Aging and Health, Johns Hopkins University, Baltimore, MD, United States
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20
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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: 1.3] [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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21
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Narbutas J, Van Egroo M, Chylinski D, Bahri MA, Koshmanova E, Talwar P, Besson G, Muto V, Schmidt C, Luxen A, Balteau E, Phillips C, Maquet P, Salmon E, Bastin C, Vandewalle G, Collette F. Associations Between Cognitive Complaints, Memory Performance, Mood, and Amyloid-β Accumulation in Healthy Amyloid Negative Late-Midlife Individuals. J Alzheimers Dis 2021; 83:127-141. [PMID: 34275899 DOI: 10.3233/jad-210332] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Cognitive complaints are gaining more attention as they may represent an early marker of increased risk for AD in individuals without objective decline at standard neuropsychological examination. OBJECTIVE Our aim was to assess whether cognitive complaints in late middle-aged individuals not seeking medical help are related to objective cognitive outcomes known as early markers for AD risk, concomitant affective state, and amyloid-β (Aβ) burden. METHODS Eighty-seven community-based cognitively normal individuals aged 50-69 years underwent neuropsychological assessment for global cognition, using Preclinical Alzheimer's Cognitive Composite 5 (PACC5) score, and a more specific episodic memory measure. Affective state was based on self-assessment questionnaires for depression and anxiety. Aβ PET burden was assessed via [18F]Flutemetamol (N = 84) and [18F]Florbetapir (N = 3) uptake. Cognitive complaints were evaluated using Cognitive Difficulties Scale. RESULTS Higher cognitive complaints were significantly associated with lower episodic memory performance and worse affective state. Moreover, higher level of cognitive complaints was related to higher (but still sub-clinical) global Aβ accumulation (at uncorrected significance level). Importantly, all three aspects remained significant when taken together in the same statistical model, indicating that they explained distinct parts of variance. CONCLUSION In healthy Aβ negative late middle-aged individuals, a higher degree of cognitive complaints is associated with lower episodic memory efficiency, more anxiety and depression, as well as, potentially, with higher Aβ burden, suggesting that complaints might signal subtle decline. Future studies should untangle how cognitive complaints in healthy aging populations are related to longitudinal changes in objective cognition and AD biomarker correlates.
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Affiliation(s)
- Justinas Narbutas
- GIGA-Institute, Cyclotron Research Centre/In Vivo Imaging, University of Liège, Liège, Belgium.,Psychology and Neuroscience of Cognition Research Unit, Faculty of Psychology and Educational Sciences, University of Liège, Liège, Belgium
| | - Maxime Van Egroo
- GIGA-Institute, Cyclotron Research Centre/In Vivo Imaging, University of Liège, Liège, Belgium
| | - Daphne Chylinski
- GIGA-Institute, Cyclotron Research Centre/In Vivo Imaging, University of Liège, Liège, Belgium
| | - Mohamed Ali Bahri
- GIGA-Institute, Cyclotron Research Centre/In Vivo Imaging, University of Liège, Liège, Belgium
| | - Ekaterina Koshmanova
- GIGA-Institute, Cyclotron Research Centre/In Vivo Imaging, University of Liège, Liège, Belgium
| | - Puneet Talwar
- GIGA-Institute, Cyclotron Research Centre/In Vivo Imaging, University of Liège, Liège, Belgium
| | - Gabriel Besson
- GIGA-Institute, Cyclotron Research Centre/In Vivo Imaging, University of Liège, Liège, Belgium
| | - Vincenzo Muto
- GIGA-Institute, Cyclotron Research Centre/In Vivo Imaging, University of Liège, Liège, Belgium
| | - Christina Schmidt
- GIGA-Institute, Cyclotron Research Centre/In Vivo Imaging, University of Liège, Liège, Belgium.,Psychology and Neuroscience of Cognition Research Unit, Faculty of Psychology and Educational Sciences, University of Liège, Liège, Belgium
| | - André Luxen
- GIGA-Institute, Cyclotron Research Centre/In Vivo Imaging, University of Liège, Liège, Belgium
| | - Evelyne Balteau
- GIGA-Institute, Cyclotron Research Centre/In Vivo Imaging, University of Liège, Liège, Belgium
| | - Christophe Phillips
- GIGA-Institute, Cyclotron Research Centre/In Vivo Imaging, University of Liège, Liège, Belgium
| | - Pierre Maquet
- GIGA-Institute, Cyclotron Research Centre/In Vivo Imaging, University of Liège, Liège, Belgium.,Department of Neurology, CHU Liège, Liège, Belgium
| | - Eric Salmon
- GIGA-Institute, Cyclotron Research Centre/In Vivo Imaging, University of Liège, Liège, Belgium.,Psychology and Neuroscience of Cognition Research Unit, Faculty of Psychology and Educational Sciences, University of Liège, Liège, Belgium.,Department of Neurology, CHU Liège, Liège, Belgium
| | - Christine Bastin
- GIGA-Institute, Cyclotron Research Centre/In Vivo Imaging, University of Liège, Liège, Belgium.,Psychology and Neuroscience of Cognition Research Unit, Faculty of Psychology and Educational Sciences, University of Liège, Liège, Belgium
| | - Gilles Vandewalle
- GIGA-Institute, Cyclotron Research Centre/In Vivo Imaging, University of Liège, Liège, Belgium
| | - Fabienne Collette
- GIGA-Institute, Cyclotron Research Centre/In Vivo Imaging, University of Liège, Liège, Belgium.,Psychology and Neuroscience of Cognition Research Unit, Faculty of Psychology and Educational Sciences, University of Liège, Liège, Belgium
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22
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Effects of Combined Physical Activity and Cognitive Training on Cognitive Function in Older Adults with Subjective Cognitive Decline: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE 2021. [DOI: 10.1155/2021/8882961] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Background. Subjective cognitive decline (SCD) is recognized as the earliest prodromal stage of Alzheimer’s disease (AD). Emerging studies explored the effects of combined physical activity and cognitive training interventions on cognitive ability, psychological well-being, and emotion of older adults with SCD, but the results are now still controversial. Objective. This study systematically evaluated the enhancement effects of the combined physical-cognitive interventions on memory self-efficacy, objective cognitive function, psychological well-being, and emotion of older adults with SCD. Methods. Data sources PubMed, EMBASE, Web of Science, China National Knowledge Infrastructure (CNKI), Wanfang degree and conference papers database, Chinese Science and Technology Periodical (VIP) databases from their inception to 28 February 2020, the Cochrane Central Register of Controlled Trials (Cochrane Library, 2020, Issue 3), and the reference lists of all retrieved articles were searched. Data analysis and bias risk evaluation were conducted in 2020. Two reviewers (SG and YY) independently evaluated the risk of bias of the included studies using the RoB 2 tool. Results. Eleven RCTs involving 1713 participants with SCD (age 68.0 ± 6.1) were included for review and meta-analysis. The interventions in the included studies were physical activity combined with cognitive training. Multiple-modality exercise with mind-motor training, supervised strategy-based memory training sequentially after stationary cycling, Dejian Mind-Body intervention, and physical activity and cognitive stimulation were also practiced. Conclusions. Compared to the active or nonactive control groups, the combined interventions are effective in improving objective cognitive function in SCD which may show the potential value of combined physical-cognitive interventions in improving objective cognitive ability and preventing the conversion of SCD to MCI or AD and no adverse effects. However, owing to the limitations of the included studies, these findings should be interpreted cautiously.
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23
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Association between sleep quality and subjective cognitive decline: evidence from a community health survey. Sleep Med 2021; 83:123-131. [PMID: 33993029 DOI: 10.1016/j.sleep.2021.04.031] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Revised: 04/07/2021] [Accepted: 04/20/2021] [Indexed: 01/13/2023]
Abstract
OBJECTIVES Little is known concerning whether subjective cognitive decline (SCD) is associated with sleep quality. This study aimed to identify the association between self-reported quality of sleep and SCD in a large population of middle-aged and older adults in Korea. METHODS We conducted this study based on data collected from the 2018 Korean Community Health Survey. Individuals aged 40 years and older who responded to the Behavioral Risk Factor Surveillance System (BRFSS) and Pittsburgh Sleep Quality Index (PSQI) assessments and did not lack data about multiple covariates were included. A total of 37,712 respondents with SCD and 135,119 those without SCD were included. Sleep quality was estimated using the PSQI, which includes seven self-reported components for sleep health assessment. SCD was assessed using the BRFSS. Logistic regression models adjusted for confounders were used to examine whether each component of the sleep quality index was related to SCD. Additional analysis of the correlation between quantified scores for each component and SCD-related functional limitations as ordinal variables was performed. RESULTS The mean age was 62.7 years in the SCD group and 56.4 years in the control group. In total, 13,777 (28.9%) respondents were male in the SCD group and 62,439 (50.7%) in the control group. The adjusted odds ratios of SCD were 1.25 for very bad sleep quality, 1.26 for long sleep latency, 1.16 for <5 h of sleep duration, 1.08 for <65% habitual sleep efficiency, 2.29 for high sleep disturbance, 1.26 for use of sleep medication ≥3 times a week, and 2.47 for high daytime dysfunction due to sleep problems compared to good sleep conditions. Furthermore, a higher score for each component of the sleep quality index correlated with greater SCD-related functional limitations. CONCLUSIONS Our study provides evidence that poor sleep quality is closely related to both SCD and SCD-related functional limitations.
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24
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Cognitive Phenotypes of Older Adults with Subjective Cognitive Decline and Amnestic Mild Cognitive Impairment: The Czech Brain Aging Study. J Int Neuropsychol Soc 2021; 27:329-342. [PMID: 33138890 DOI: 10.1017/s1355617720001046] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
OBJECTIVE To compare cognitive phenotypes of participants with subjective cognitive decline (SCD) and amnestic mild cognitive impairment (aMCI), estimate progression to MCI/dementia by phenotype and assess classification error with machine learning. METHOD Dataset consisted of 163 participants with SCD and 282 participants with aMCI from the Czech Brain Aging Study. Cognitive assessment included the Uniform Data Set battery and additional tests to ascertain executive function, language, immediate and delayed memory, visuospatial skills, and processing speed. Latent profile analyses were used to develop cognitive profiles, and Cox proportional hazards models were used to estimate risk of progression. Random forest machine learning algorithms reported cognitive phenotype classification error. RESULTS Latent profile analysis identified three phenotypes for SCD, with one phenotype performing worse across all domains but not progressing more quickly to MCI/dementia after controlling for age, sex, and education. Three aMCI phenotypes were characterized by mild deficits, memory and language impairment (dysnomic aMCI), and severe multi-domain aMCI (i.e., deficits across all domains). A dose-response relationship between baseline level of impairment and subsequent risk of progression to dementia was evident for aMCI profiles after controlling for age, sex, and education. Machine learning more easily classified participants with aMCI in comparison to SCD (8% vs. 21% misclassified). CONCLUSIONS Cognitive performance follows distinct patterns, especially within aMCI. The patterns map onto risk of progression to dementia.
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The Therapeutic Potential of Carnosine/Anserine Supplementation against Cognitive Decline: A Systematic Review with Meta-Analysis. Biomedicines 2021; 9:biomedicines9030253. [PMID: 33806459 PMCID: PMC7998783 DOI: 10.3390/biomedicines9030253] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2020] [Revised: 02/26/2021] [Accepted: 02/27/2021] [Indexed: 12/30/2022] Open
Abstract
Carnosine is a natural occurring endogenous dipeptide that was proposed as an anti-aging agent more than 20 years ago. Carnosine can be found at low millimolar concentrations at brain level and different preclinical studies have demonstrated its antioxidant, anti-inflammatory, and anti-aggregation activity with neuroprotective effects in animal models of Alzheimer’s disease (AD). A selective deficit of carnosine has also been linked to cognitive decline in AD. Different clinical studies have been conducted to evaluate the impact of carnosine supplementation against cognitive decline in elderly and AD subjects. We conducted a systematic review with meta-analysis, in accordance with the PRISMA guidelines coupled to the PICOS approach, to investigate the therapeutic potential of carnosine against cognitive decline and depressive symptoms in elderly subjects. We found five studies matching the selection criteria. Carnosine/anserine was administered for 12 weeks at a dose of 1 g/day and improved global cognitive function, whereas no effects were detected on depressive symptoms. These data suggest a preliminary evidence of clinical efficacy of carnosine against cognitive decline both in elderly subjects and mild cognitive impairment (MCI) patients, although larger and long-term clinical studies are needed in MCI patients (with or without depression) to confirm the therapeutic potential of carnosine.
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Semantic Processing in Healthy Aging and Alzheimer's Disease: A Systematic Review of the N400 Differences. Brain Sci 2020; 10:brainsci10110770. [PMID: 33114051 PMCID: PMC7690742 DOI: 10.3390/brainsci10110770] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Revised: 10/21/2020] [Accepted: 10/21/2020] [Indexed: 01/18/2023] Open
Abstract
Semantic deficits are common in individuals with Alzheimer’s disease (AD). These deficits notably impact the ability to understand words. In healthy aging, semantic knowledge increases but semantic processing (i.e., the ability to use this knowledge) may be impaired. This systematic review aimed to investigate semantic processing in healthy aging and AD through behavioral responses and the N400 brain event-related potential. The results of the quantitative and qualitative analyses suggested an overall decrease in accuracy and increase in response times in healthy elderly as compared to young adults, as well as in individuals with AD as compared to age-matched controls. The influence of semantic association, as measured by N400 effect amplitudes, appears smaller in healthy aging and even more so in AD patients. Thus, semantic processing differences may occur in both healthy and pathological aging. The establishment of norms of healthy aging for these outcomes that vary between normal and pathological aging could eventually help early detection of AD.
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Lee JS, Soh Y, Kim HG, Lee KM, Kwon YN, Yoon SS, Park KC, Rhee HY. Interactive Effects of Apolipoprotein E ε4 and Triiodothyronine on Memory Performance in Patients With Subjective Cognitive Decline. Front Med (Lausanne) 2020; 7:298. [PMID: 32671080 PMCID: PMC7330104 DOI: 10.3389/fmed.2020.00298] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2020] [Accepted: 05/26/2020] [Indexed: 01/16/2023] Open
Abstract
Background: The aim of the present study was to investigate the associations between thyroid hormones, cognitive performance, and apolipoprotein E (APOE) genotype in euthyroid patients with subjective cognitive decline (SCD). Methods: We recruited 197 euthyroid patients that fulfilled the criteria for SCD. All participants were classified into APOE ε4 carriers and non-carriers based on the presence of the APOE ε4 allele. Patients with SCD who had the APOE ε2/ε4 genotype were excluded from the study. We then performed correlation and regression analyses to evaluate the associations between cognitive performance and thyroid hormones in APOE ε4 carriers and non-carriers. Results: We found no significant differences in cognitive function between APOE ε4 carriers and non-carriers. However, higher levels of triiodothyronine (T3) were associated with better verbal memory performance (immediate and delayed recall tasks) in APOE ε4 carriers, whereas a negative association was found in APOE ε4 non-carriers. Furthermore, there was a significant interactive effect of APOE ε4 status and T3 levels on verbal memory performance (immediate and delayed recall tasks). Conclusions: These findings suggest that in patients with SCD, T3 might have a protective effect on memory in those who are APOE ε4 carriers. The differential susceptibility hypothesis would thus support a gene-by-hormone crossover interaction between APOE ε4 allele and T3 in this study. Early identification and intervention of high-risk individuals for cognitive decline is important to establish new strategies for preventing dementia.
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Affiliation(s)
- Jin San Lee
- Departments of Neurology, Kyung Hee University Hospital, Kyung Hee University College of Medicine, Seoul, South Korea
| | - Yunsoo Soh
- Departments of Rehabilitation Medicine, Kyung Hee University Hospital, Kyung Hee University College of Medicine, Seoul, South Korea
| | - Hyug-Gi Kim
- Departments of Radiology, Kyung Hee University Hospital, Kyung Hee University College of Medicine, Seoul, South Korea
| | - Kyung Mi Lee
- Departments of Radiology, Kyung Hee University Hospital, Kyung Hee University College of Medicine, Seoul, South Korea
| | - Young Nam Kwon
- Department of Medicine, Graduate School, Kyung Hee University, Seoul, South Korea
| | - Sung Sang Yoon
- Departments of Neurology, Kyung Hee University Hospital, Kyung Hee University College of Medicine, Seoul, South Korea
| | - Key-Chung Park
- Departments of Neurology, Kyung Hee University Hospital, Kyung Hee University College of Medicine, Seoul, South Korea
| | - Hak Young Rhee
- Department of Neurology, Kyung Hee University Hospital at Gangdong, Kyung Hee University College of Medicine, Seoul, South Korea
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Minta K, Brinkmalm G, Janelidze S, Sjödin S, Portelius E, Stomrud E, Zetterberg H, Blennow K, Hansson O, Andreasson U. Quantification of total apolipoprotein E and its isoforms in cerebrospinal fluid from patients with neurodegenerative diseases. Alzheimers Res Ther 2020; 12:19. [PMID: 32054532 PMCID: PMC7020540 DOI: 10.1186/s13195-020-00585-7] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Accepted: 02/04/2020] [Indexed: 01/02/2023]
Abstract
BACKGROUND The human APOE gene, which codes for apolipoprotein E (apoE), has three major polymorphic alleles: ε2, ε3, and ε4 that give rise to amino acid substitutions. APOE-ε4 is a strong risk factor of sporadic Alzheimer's disease (AD) but the reason why is still unknown despite intense research for more than 20 years. The aim of the study was to investigate if the concentrations of total apoE and the specific apoE isoforms in cerebrospinal fluid (CSF) differ between various neurodegenerative diseases and control individuals, as well as among the APOE genotypes. METHODS Quantification of total apoE and specific apoE isoforms (E2, E3, and E4) in CSF was performed using high-resolution parallel reaction monitoring mass spectrometry. In total, 1820 individuals were involved in the study including clinically diagnosed AD patients (n = 228), cognitively unimpaired (CU) patients (n = 896), and patients with other neurodegenerative disorders (n = 696). Follow-up data was available for 100 individuals, assessed at two time points. Subjects were dichotomized based on an Aβ42/40 CSF concentration ratio cut-off into Aβ positive (Aβ+, < 0.091) and Aβ negative (Aβ-, > 0.091) groups. RESULTS Even though there was a significant increase of total apoE in the amyloid β-positive (Aβ+) group compared with amyloid β-negative (Aβ-) individuals (p < 0.001), the magnitude of the effect was very small (AUC = 0.55). Moreover, CSF total apoE concentrations did not differ between Aβ- CU controls and clinically diagnosed AD patients. There was a difference in concentration between isoforms in heterozygous individuals in an isoform-dependent manner (E2 < E3 < E4) (p < 0.001, AUC = 0.64-0.69), and these associations remained when dichotomizing the samples into Aβ+ and Aβ- groups (p < 0.01, AUC = 0.63-0.74). In the cohort with follow-up samples, neither total apoE nor isoform-specific apoE concentrations differed between the two time points (p > 0.05). CONCLUSIONS The results indicate that neither the concentrations of total apoE nor the different apoE isoforms in CSF are associated with APOE-ε4 carrier status, Aβ status, or clinical dementia diagnoses.
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Affiliation(s)
- K Minta
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.
| | - G Brinkmalm
- 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
| | - S Janelidze
- Clinical Memory Research Unit, Department of Clinical Sciences, Lund University, Lund, Sweden
| | - S Sjödin
- 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
| | - E Portelius
- 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
| | - E Stomrud
- Clinical Memory Research Unit, Department of Clinical Sciences, Lund University, Lund, Sweden
- Memory Clinic, Skåne University Hospital, Lund, Sweden
| | - H Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
- UK Dementia Research Institute at UCL, London, UK
| | - K 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
| | - O Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences, Lund University, Lund, Sweden
- Memory Clinic, Skåne University Hospital, Lund, Sweden
| | - U Andreasson
- 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
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McWhirter L, Ritchie C, Stone J, Carson A. Functional cognitive disorders: a systematic review. Lancet Psychiatry 2020; 7:191-207. [PMID: 31732482 DOI: 10.1016/s2215-0366(19)30405-5] [Citation(s) in RCA: 118] [Impact Index Per Article: 23.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2019] [Revised: 08/28/2019] [Accepted: 08/29/2019] [Indexed: 12/18/2022]
Abstract
Cognitive symptoms are common, and yet many who seek help for cognitive symptoms neither have, nor go on to develop, dementia. A proportion of these people are likely to have functional cognitive disorders, a subtype of functional neurological disorders, in which cognitive symptoms are present, associated with distress or disability, but caused by functional alterations rather than degenerative brain disease or another structural lesion. In this Review, we have systematically examined the prevalence and clinical associations of functional cognitive disorders, and related phenotypes, within the wider cognitive disorder literature. Around a quarter of patients presenting to memory clinics received diagnoses that might indicate the presence of functional cognitive disorders, which were associated with affective symptoms, negative self-evaluation, negative illness perceptions, non-progressive symptom trajectories, and linguistic and behavioural differences during clinical interactions. Those with functional cognitive disorder phenotypes are at risk of iatrogenic harm because of misdiagnosis or inaccurate prediction of future decline. Further research is imperative to improve diagnosis and identify effective treatments for functional cognitive disorders, and better understanding these phenotypes will also improve the specificity of diagnoses of prodromal degenerative brain disease.
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Affiliation(s)
- Laura McWhirter
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
| | - Craig Ritchie
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Jon Stone
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Alan Carson
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
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Müller-Gerards D, Weimar C, Abramowski J, Tebrügge S, Jokisch M, Dragano N, Erbel R, Jöckel KH, Moebus S, Winkler A. Subjective cognitive decline, APOE ε4, and incident mild cognitive impairment in men and women. ALZHEIMER'S & DEMENTIA: DIAGNOSIS, ASSESSMENT & DISEASE MONITORING 2019; 11:221-230. [PMID: 30891488 PMCID: PMC6404645 DOI: 10.1016/j.dadm.2019.01.007] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
Introduction Possible joint effects of subjective cognitive decline (SCD) and apolipoprotein E (APOE) ε4 genotype on incident mild cognitive impairment (MCI) were examined for men and women separately. Methods Cognitively normal participants with and without SCD were included from the first follow-up examination of the population-based Heinz Nixdorf Recall study. Sex-stratified logistic regression models estimated main effects and interactions (additive, multiplicative) of SCD at the first follow-up (yes+/no−) and APOE ε4 (positive+/negative−) groups for MCI 5 years later. Results Odds for MCI 5 years later were higher in SCD/APOE ε4 group +/+ than the sum of groups +/− and −/+ in women, with a trend for positive interaction. Odds for incident MCI in men was highest in group +/−, with no interaction effect. Discussion Our findings indicate that APOE ε4 may play an important role in the association of SCD and incident MCI, especially considering sex. Further studies need to examine these associations with larger sample sizes.
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Affiliation(s)
- Diana Müller-Gerards
- Department of Neurology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Christian Weimar
- Department of Neurology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Jessica Abramowski
- Department of Neurology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Sarah Tebrügge
- Department of Neurology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Martha Jokisch
- Department of Neurology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Nico Dragano
- Institute of Medical Sociology, Centre for Health and Society, University of Düsseldorf, Medical Faculty, University of Düsseldorf, Düsseldorf, Germany
| | - Raimund Erbel
- Institute of Medical Informatics, Biometrics and Epidemiology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Karl-Heinz Jöckel
- Institute of Medical Informatics, Biometrics and Epidemiology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Susanne Moebus
- Institute of Medical Informatics, Biometrics and Epidemiology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Angela Winkler
- Department of Neurology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
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31
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Subjective cognitive decline: preclinical manifestation of Alzheimer's disease. Neurol Sci 2018; 40:41-49. [PMID: 30397816 DOI: 10.1007/s10072-018-3620-y] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2018] [Accepted: 10/24/2018] [Indexed: 10/27/2022]
Abstract
Subjective cognitive decline (SCD), characterized by a very early and subtle cognitive decline prior to the appearance of objective cognitive impairment, is considered to be the preclinical manifestation of Alzheimer's disease (AD). Given the lack of significant abnormalities in standardized neuropsychological assessments for individuals with SCD, biochemical and neuroimaging biomarkers may be important indicators of the preclinical stage of AD. The application of various biomarkers derived from the cerebrospinal fluid and neuroimaging thus has the potential to make AD-related pathology detectable in vivo. In this review, we discuss the conceptual evolution of SCD as an entity and further elucidate characteristic cerebrospinal fluid and neuroimaging biomarkers of SCD.
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