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Hoffmeister JR, Robison BR, Copeland CT, Prodan CI, Scott JG, Glenn JM. Detecting early stages of Alzheimer's disease using a web-based cognitive battery. GeroScience 2024:10.1007/s11357-024-01496-3. [PMID: 39739256 DOI: 10.1007/s11357-024-01496-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2024] [Accepted: 12/19/2024] [Indexed: 01/02/2025] Open
Abstract
Portable and efficient cognitive screening measures are needed to address the growing need for effective early detection of Alzheimer's disease. The Neurotrack Cognitive Battery (NCB) offers an appealing, web-based application that may be sensitive to early cognitive changes associated with Alzheimer's disease. The NCB contains measures that were conceptually derived from animal lesion studies. The current study sought to investigate the construct and diagnostic validity of the NCB among those with and without mild cognitive impairment (MCI). Participants (n = 47) with and without MCI were administered the NCB and traditional cognitive tests. Three of six NCB measures assessing domains of memory, processing speed, and executive functioning demonstrated moderate to strong associations with well-established cognitive performance tests. In classifying those with and without MCI, sensitivities of these three NCB measures ranged from 0.47 to 0.74, and specificities ranged from 0.78 to 1.00. For traditional cognitive measures, sensitivities ranged from 0.74 to 0.84, and specificities ranged from 0.74 to 0.94. Overall, web-based cognitive test measures pertaining to cognitive domains of memory, processing speed, and executive functioning may serve as highly portable screening tools for detecting the early stages of Alzheimer's disease. Additionally, these cognitive domains may be valuable in informing back-translational research.
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Affiliation(s)
- Jordan R Hoffmeister
- Department of Psychiatry and Behavioral Sciences, The University of Oklahoma Health Science Center, Oklahoma City, OK, USA.
| | - Brady R Robison
- Department of Psychiatry and Behavioral Sciences, The University of Oklahoma Health Science Center, Oklahoma City, OK, USA
| | - Christopher T Copeland
- Department of Psychiatry and Behavioral Sciences, The University of Oklahoma Health Science Center, Oklahoma City, OK, USA
| | - Calin I Prodan
- Department of Neurology, The University of Oklahoma Health Science Center, Oklahoma City, OK, USA
- Oklahoma City VA Medical Center, Oklahoma City, OK, USA
| | - Jim G Scott
- Department of Psychiatry and Behavioral Sciences, The University of Oklahoma Health Science Center, Oklahoma City, OK, USA
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Yang KL, Kelble L, Felten K, Carlsson CM, Clark LR. Memory screening in the community: Facilitating earlier dementia diagnosis and care-Preliminary data. J Am Geriatr Soc 2024. [PMID: 39643479 DOI: 10.1111/jgs.19302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2024] [Revised: 10/27/2024] [Accepted: 10/30/2024] [Indexed: 12/09/2024]
Abstract
BACKGROUND This program evaluation was conducted to assess the effectiveness of a community memory screening initiative across 25 Aging and Disability Resource Centers, spanning 39 counties and 5 tribal communities in the state of Wisconsin. METHODS We evaluated the screened individuals' characteristics and reasons for screening, the screen results and topics addressed during screening, the rate of sending positive screens to primary care providers, and the incidence of subsequent dementia diagnosis as well as health behavior changes. RESULTS Program evaluation results showed 791 completed surveys from individuals, indicating the program's accessibility and potential to reach populations in both urban and rural counties across Wisconsin. Evaluation results also showed that brain health was the most frequently discussed topic during memory screens (discussed during 689 screens, 87.1%), along with other topics such as potential causes of dementia symptoms (670 screens, 84.5%), dementia warning signs (656, 83%), the importance of early detection (605 screens, 76.5%), and caregiver support (106 screens, 13.4%). Of all 791, a total of 273 (34.5%) individuals had screen results sent to a primary care provider. Follow-up surveys completed with a subset of individuals (n = 49) who had their results sent to a primary care provider indicated that 10 (20%) received a diagnosis of dementia and over half made a health behavior change to improve brain health. CONCLUSIONS The evaluation results presented herein highlight the program's success in addressing the critical need for accessible dementia-related services. Overall, our evaluation results underscore the importance of community-based initiatives in promoting early dementia detection and intervention, which are crucial for disease management.
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Affiliation(s)
- Kao Lee Yang
- Department of Medicine, Division of Geriatrics, University of Wisconsin-Madison School of Medicine & Public Health, Madison, Wisconsin, USA
- Neuroscience & Public Policy Program, University of Wisconsin-Madison School of Medicine & Public Health, Madison, Wisconsin, USA
| | - Laura Kelble
- Doctor of Medicine/Master's in Public Health, University of Wisconsin-Madison School of Medicine & Public Health, Madison, Wisconsin, USA
- Wisconsin Alzheimer's Institute, Madison, Wisconsin, USA
| | - Kristen Felten
- Office on Aging, Wisconsin Department of Health Services, Madison, Wisconsin, USA
| | - Cynthia M Carlsson
- Department of Medicine, Division of Geriatrics, University of Wisconsin-Madison School of Medicine & Public Health, Madison, Wisconsin, USA
- Wisconsin Alzheimer's Institute, Madison, Wisconsin, USA
- Geriatric Research Education and Clinical Center, William S. Middleton Memorial Veterans Hospital, Madison, Wisconsin, USA
| | - Lindsay R Clark
- Department of Medicine, Division of Geriatrics, University of Wisconsin-Madison School of Medicine & Public Health, Madison, Wisconsin, USA
- Geriatric Research Education and Clinical Center, William S. Middleton Memorial Veterans Hospital, Madison, Wisconsin, USA
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Ritchie M, Salazar CR, Gillen DL, Grill JD. Post-disclosure distress among racial and ethnic groups in a preclinical AD trial. Alzheimers Dement 2024; 20:2508-2515. [PMID: 38329007 PMCID: PMC11032552 DOI: 10.1002/alz.13726] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 12/13/2023] [Accepted: 01/06/2024] [Indexed: 02/09/2024]
Abstract
INTRODUCTION Trialists need a thorough understanding of whether reactions to Alzheimer's disease (AD) biomarker information differ among racial and ethnic groups in preclinical AD trials. METHODS We used data from the Anti-Amyloid Treatment in Asymptomatic Alzheimer's Disease Study to analyze cognitively unimpaired participants' responses on the Impact of Event Scale (IES) 24 to 72 hours after amyloid disclosure. We fit a linear regression model to test whether mean IES scores differed among participants from specific racial and ethnic groups. We considered potential effect modification by amyloid status. RESULTS Reactions to disclosure did not significantly differ among participant groups based on self-reported race and ethnicity. Although the results were not significant when stratified by amyloid status, all racial and ethnic groups except for participants self-reporting Hispanic/Latino ethnicity were observed to have higher mean IES in the elevated amyloid group. DISCUSSION These results support continued use of current disclosure methods in preclinical AD trials.
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Affiliation(s)
- Marina Ritchie
- UC Irvine Institute for Memory Impairments and Neurological DisordersUniversity of California, IrvineIrvineCaliforniaUSA
- Department of Neurobiology and BehaviorUniversity of California, IrvineIrvineCaliforniaUSA
| | - Christian R. Salazar
- UC Irvine Institute for Memory Impairments and Neurological DisordersUniversity of California, IrvineIrvineCaliforniaUSA
| | - Daniel L. Gillen
- UC Irvine Institute for Memory Impairments and Neurological DisordersUniversity of California, IrvineIrvineCaliforniaUSA
- Department of StatisticsUniversity of California, IrvineIrvineCaliforniaUSA
| | - Joshua D. Grill
- UC Irvine Institute for Memory Impairments and Neurological DisordersUniversity of California, IrvineIrvineCaliforniaUSA
- Department of Neurobiology and BehaviorUniversity of California, IrvineIrvineCaliforniaUSA
- Department of Psychiatry and Human BehaviorUniversity of California, IrvineIrvineCaliforniaUSA
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Hill-Jarrett TG, Choi M, Buto PT, Miramontes S, Thomas MD, Yang Y, Kim MH, Sims KD, Glymour MM. Associations of Everyday and Lifetime Experiences of Discrimination With Willingness to Undergo Alzheimer Disease Predictive Testing. Neurology 2024; 102:e208005. [PMID: 38266219 PMCID: PMC11383877 DOI: 10.1212/wnl.0000000000208005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Accepted: 10/13/2023] [Indexed: 01/26/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Rapid developments in Alzheimer disease (AD) biomarker research suggest that predictive testing may become widely available. To ensure equal access to AD predictive testing, it is important to understand factors that affect testing interest. Discrimination may influence attitudes toward AD testing, particularly among racially and ethnically minoritized populations, because of structural racism in health care systems. This study examined whether everyday or lifetime discrimination experiences shape interest in AD predictive testing. METHODS In the 2010 and 2012 biennial Health and Retirement Study waves, respondents were randomly selected to complete questions on interest in receiving free testing that could determine whether they would develop AD in the future. The exposures were everyday discrimination (6 items) and lifetime discrimination (7 items); both were transformed into a binary variable. Logistic regression models predicting interest in AD testing were controlled for deciles of propensity scores for each discrimination measure. Odds ratios were re-expressed as risk differences (RDs). RESULTS Our analytic sample included 1,499 respondents. The mean age was 67 (SD = 10.2) years, 57.4% were women, 65.7% were White, and 80% endorsed interest in AD predictive testing. Most of the participants (54.7%) experienced everyday discrimination in at least one domain; 24.1% experienced major lifetime discrimination in at least one domain. Those interested in predictive testing were younger (66 vs 70 years) and more likely to be Black (20% vs 15%) or Latinx (14% vs 8%) than participants uninterested in testing. The probability of wanting an AD test was not associated with discrimination for Black (RD everyday discrimination = -0.026; 95% CI [-0.081 to 0.029]; RD lifetime discrimination = -0.012; 95% CI [-0.085 to 0.063]) or Latinx (RD everyday discrimination = -0.023, 95% CI [-0.082 to 0.039]; RD lifetime discrimination = -0.011; 95% CI [-0.087 to 0.064]) participants. DISCUSSION Despite historical and contemporary experiences of discrimination, Black and Latinx individuals express interest in AD testing. However, Black and Latinx individuals remain underrepresented in AD research, including research on AD testing. Interest in personalized information about dementia risk may be a pathway to enhance their inclusion in research and clinical trials.
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Affiliation(s)
- Tanisha G Hill-Jarrett
- From the Department of Neurology (T.G.H.-.J), Memory and Aging Center; Department of Epidemiology and Biostatistics (M.C., P.T.B.); Bakar Computational Health Sciences Institute (S.M.); Department of Psychiatry and Behavioral Sciences (M.D.T.), Weill Institute for Neurosciences; Department of Epidemiology and Biostatistics (Y.Y., K.D.S., M.M.G.); and Institute for Health Policy Studies (M.H.K.), University of California San Francisco
| | - Minhyuk Choi
- From the Department of Neurology (T.G.H.-.J), Memory and Aging Center; Department of Epidemiology and Biostatistics (M.C., P.T.B.); Bakar Computational Health Sciences Institute (S.M.); Department of Psychiatry and Behavioral Sciences (M.D.T.), Weill Institute for Neurosciences; Department of Epidemiology and Biostatistics (Y.Y., K.D.S., M.M.G.); and Institute for Health Policy Studies (M.H.K.), University of California San Francisco
| | - Peter T Buto
- From the Department of Neurology (T.G.H.-.J), Memory and Aging Center; Department of Epidemiology and Biostatistics (M.C., P.T.B.); Bakar Computational Health Sciences Institute (S.M.); Department of Psychiatry and Behavioral Sciences (M.D.T.), Weill Institute for Neurosciences; Department of Epidemiology and Biostatistics (Y.Y., K.D.S., M.M.G.); and Institute for Health Policy Studies (M.H.K.), University of California San Francisco
| | - Silvia Miramontes
- From the Department of Neurology (T.G.H.-.J), Memory and Aging Center; Department of Epidemiology and Biostatistics (M.C., P.T.B.); Bakar Computational Health Sciences Institute (S.M.); Department of Psychiatry and Behavioral Sciences (M.D.T.), Weill Institute for Neurosciences; Department of Epidemiology and Biostatistics (Y.Y., K.D.S., M.M.G.); and Institute for Health Policy Studies (M.H.K.), University of California San Francisco
| | - Marilyn D Thomas
- From the Department of Neurology (T.G.H.-.J), Memory and Aging Center; Department of Epidemiology and Biostatistics (M.C., P.T.B.); Bakar Computational Health Sciences Institute (S.M.); Department of Psychiatry and Behavioral Sciences (M.D.T.), Weill Institute for Neurosciences; Department of Epidemiology and Biostatistics (Y.Y., K.D.S., M.M.G.); and Institute for Health Policy Studies (M.H.K.), University of California San Francisco
| | - Yulin Yang
- From the Department of Neurology (T.G.H.-.J), Memory and Aging Center; Department of Epidemiology and Biostatistics (M.C., P.T.B.); Bakar Computational Health Sciences Institute (S.M.); Department of Psychiatry and Behavioral Sciences (M.D.T.), Weill Institute for Neurosciences; Department of Epidemiology and Biostatistics (Y.Y., K.D.S., M.M.G.); and Institute for Health Policy Studies (M.H.K.), University of California San Francisco
| | - Min Hee Kim
- From the Department of Neurology (T.G.H.-.J), Memory and Aging Center; Department of Epidemiology and Biostatistics (M.C., P.T.B.); Bakar Computational Health Sciences Institute (S.M.); Department of Psychiatry and Behavioral Sciences (M.D.T.), Weill Institute for Neurosciences; Department of Epidemiology and Biostatistics (Y.Y., K.D.S., M.M.G.); and Institute for Health Policy Studies (M.H.K.), University of California San Francisco
| | - Kendra D Sims
- From the Department of Neurology (T.G.H.-.J), Memory and Aging Center; Department of Epidemiology and Biostatistics (M.C., P.T.B.); Bakar Computational Health Sciences Institute (S.M.); Department of Psychiatry and Behavioral Sciences (M.D.T.), Weill Institute for Neurosciences; Department of Epidemiology and Biostatistics (Y.Y., K.D.S., M.M.G.); and Institute for Health Policy Studies (M.H.K.), University of California San Francisco
| | - M Maria Glymour
- From the Department of Neurology (T.G.H.-.J), Memory and Aging Center; Department of Epidemiology and Biostatistics (M.C., P.T.B.); Bakar Computational Health Sciences Institute (S.M.); Department of Psychiatry and Behavioral Sciences (M.D.T.), Weill Institute for Neurosciences; Department of Epidemiology and Biostatistics (Y.Y., K.D.S., M.M.G.); and Institute for Health Policy Studies (M.H.K.), University of California San Francisco
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Angelidou IA, Stocker H, Beyreuther K, Teichmann B. Validation of the "Perceptions Regarding pRE-Symptomatic Alzheimer's Disease Screening" (PRE-ADS) Questionnaire in the German Population: Attitudes, Motivations, and Barriers to Pre-Symptomatic Dementia Screening. J Alzheimers Dis 2024; 97:309-325. [PMID: 38189757 PMCID: PMC10789340 DOI: 10.3233/jad-230961] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/17/2023] [Indexed: 01/09/2024]
Abstract
BACKGROUND Attitudes, motivations, and barriers to pre-symptomatic screening for Alzheimer's disease (AD) in the general population are unclear, and validated measurement tools are lacking. OBJECTIVE Translation and validation of the German version of the "Perceptions regarding pRE-symptomatic Alzheimer's Disease Screening" (PRE-ADS) questionnaire. METHODS A convenience sample (N = 256) was recruited via an online platform. Validation of the PRE-ADS-D consisted of assessments of reliability, structural validity using Principal Component Analysis (PCA) and Exploratory Factor Analysis (EFA) and construct validity using known-group tests. A subscale "Acceptability of Screening", with 5 PRE-ADS-D items, was extracted to measure acceptance of screening in clinical practice. The STROBE checklist was used for reporting. RESULTS EFA revealed a three-factor model for the PRE-ADS-D. Acceptable to good internal consistency was found for the 25-item scale (α= 0.78), as well as for the three factors "Concerns about Screening" (α= 0.85), "Intention to be Screened" (α= 0.87), and "Preventive Health Behaviors" (α= 0.81). Construct validity was confirmed for both the 25-item PRE-ADS-D and the "Acceptability of Screening" scale (α= 0.91). Overall, 51.2% of the participants showed a preference for screening. Non-parametric tests were conducted to further explore group differences of the sample. CONCLUSIONS The PRE-ADS-D is a reliable and valid tool to measure attitudes, motives, and barriers regarding pre-symptomatic dementia screening in the German-speaking general population. Additionally, the subscale "Acceptability of Screening" demonstrated good construct validity and reliability, suggesting its promising potential as a practical tool in clinical practice.
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Affiliation(s)
| | - Hannah Stocker
- Network Aging Research, Heidelberg University, Heidelberg, Germany
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany
| | | | - Birgit Teichmann
- Network Aging Research, Heidelberg University, Heidelberg, Germany
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Bolsewig K, Blok H, Willemse EAJ, Zwaaftink RBMG, Kooistra M, Smets EMA, Teunissen CE, Visser LNC. Caregivers' attitudes toward blood-based biomarker testing for Alzheimer's disease. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2024; 16:e12549. [PMID: 38371360 PMCID: PMC10870798 DOI: 10.1002/dad2.12549] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/01/2023] [Revised: 01/02/2024] [Accepted: 01/10/2024] [Indexed: 02/20/2024]
Abstract
INTRODUCTION We aimed to evaluate informal caregivers' attitudes toward undergoing and future implementation of blood-based biomarkers (BBBM) testing for Alzheimer's disease (AD). METHODS We explored caregivers' perspectives, by combining an online survey (n = 107) with a subsequent focus group (n = 7). We used descriptive statistics and thematic content analysis to identify common themes in answers to open-ended survey questions and focus group data. RESULTS Most caregivers (72.0%) favored BBBM for AD diagnosis. Provided with hypothetical scenarios, confidence in a normal result decreased significantly if experienced symptoms were more severe (mild: 78.5% vs. severe: 48.6%). Caregivers' attitudes toward BBBM for screening purposes significantly improved with prospect of treatment (53.3% vs. 92.5%). Concerns toward BBBM testing included treatment unavailability, increased/prolonged distress, and AD-related stigma. Potential benefits were actionability, explanation for symptoms, and opportunities for better care and future treatment. DISCUSSION Emerging AD treatment and reduction of AD-related stigma could profoundly increase public interest in BBBM testing for AD. Highlights Most informal caregivers would want blood-based biomarker (BBBM) testing for Alzheimer's disease (AD) diagnosis.Perceived (dis)advantages were related to diagnosing AD early.With severe symptoms, there was less confidence in normal BBBM results.Treatment availability would significantly increase interest in BBBM testing for AD.Informal caregivers showed uncertainty regarding the meaning of the term "AD."
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Affiliation(s)
- Katharina Bolsewig
- Department of Laboratory MedicineNeurochemistry LaboratoryAmsterdam NeuroscienceAmsterdam UMCVU UniversityAmsterdamthe Netherlands
| | - Hester Blok
- Alzheimer NederlandAmersfoortthe Netherlands
| | - Eline A. J. Willemse
- Department of Laboratory MedicineNeurochemistry LaboratoryAmsterdam NeuroscienceAmsterdam UMCVU UniversityAmsterdamthe Netherlands
- Department of NeurologyMultiple Sclerosis Center and Research Center for Clinical Neuroimmunology and Neuroscience BaselDepartments of Biomedicine and Clinical ResearchUniversity Hospital Basel and University of BaselBaselSwitzerland
| | | | | | - Ellen M. A. Smets
- Department of Medical PsychologyAmsterdam Public Health Research InstituteUniversity of AmsterdamAmsterdam UMCAmsterdamthe Netherlands
| | - Charlotte E. Teunissen
- Department of Laboratory MedicineNeurochemistry LaboratoryAmsterdam NeuroscienceAmsterdam UMCVU UniversityAmsterdamthe Netherlands
| | - Leonie N. C. Visser
- Department of Medical PsychologyAmsterdam Public Health Research InstituteUniversity of AmsterdamAmsterdam UMCAmsterdamthe Netherlands
- Alzheimer Center AmsterdamDepartment of NeurologyAmsterdam NeuroscienceVrije Universiteit AmsterdamAmsterdam UMCAmsterdamthe Netherlands
- Division of Clinical GeriatricsCenter for Alzheimer ResearchDepartment of NeurobiologyCare Sciences and SocietyKarolinska InstitutetStockholmSweden
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Ritchie M, Raman R, Ernstrom K, Wang S, Donohue MC, Aisen P, Henley D, Romano G, Novak GP, Brashear HR, Sperling RA, Grill JD. Views and Perceptions of Amyloid Imaging in a Preclinical Alzheimer's Disease Trial. J Prev Alzheimers Dis 2024; 11:1563-1571. [PMID: 39559869 PMCID: PMC11573807 DOI: 10.14283/jpad.2024.157] [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] [Indexed: 11/20/2024]
Abstract
BACKGROUND Many cognitively unimpaired older adults are interested in learning their Alzheimer's disease (AD) biomarker status, but little is known about motivations to undergo biomarker testing and result disclosure in the setting of preclinical AD trials. OBJECTIVES Examine whether motivations to undergo AD biomarker testing and disclosure differ for individuals who have elevated amyloid compared to those with not elevated amyloid, and whether disclosure of amyloid results impacts participants' motivations. DESIGN, SETTING, PARTICIPANTS We conducted post-hoc analyses using data from the EARLY study, a preclinical AD trial of the beta-secretase inhibitor atabecestat. As part of the screening process of the trial, participants underwent biomarker testing and disclosure. We analyzed data from n=2241 participants. MEASUREMENTS We analyzed data from the Views and Perceptions of Amyloid Imaging (VPAI), a 9-item questionnaire assessing how strongly participants agreed with motivating factors for undergoing amyloid testing. The VPAI was administered at the first screening visit and again after amyloid disclosure. RESULTS Prior to amyloid disclosure, a greater proportion of participants in the elevated amyloid group responded at the two highest levels of endorsement for the items, "to confirm the feeling that I might already be developing symptoms of AD dementia" (p<0.001) and "to prepare my family for my possible illness in the future" (p=0.008), compared to participants in the not elevated amyloid group. Following disclosure, the not elevated amyloid group had higher odds of positive change in categorical VPAI item level scores for the items "to put mind at ease" (OR: 0.54; p<0.001), "to confirm the feeling that I might already be developing symptoms of AD dementia" (OR: 0.79; p=0.049), and "to prepare my family for my possible illness in the future" (OR: 0.67; p=<0.001), while the elevated amyloid group had higher odds of positive change for the item "curiosity" (OR:1.32; p=0.014). CONCLUSIONS Investigators might consider adjusting recruitment strategies for future trials to align with the motivations to undergo biomarker testing and disclosure most strongly endorsed by participants with elevated amyloid.
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Affiliation(s)
- M Ritchie
- Marina Ritchie, MS, UC Irvine Institute for Memory Impairments and Neurological Disorders (UCI MIND), 3230 Biological Sciences III, University of California, Irvine,
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8
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Angelidou IA, Makri M, Beyreuther K, Boada Rovira M, Despoti A, Engelborghs S, Miguel A, Rodríguez I, Stocker H, Temmerman J, Tsolaki M, Yener G, Yerlikaya D, Teichmann B. Attitudes toward pre-symptomatic screening for Alzheimer's dementia in five European countries: a comparison of family members of people with Alzheimer's dementia versus non-family members. Front Genet 2023; 14:1305107. [PMID: 38162684 PMCID: PMC10757380 DOI: 10.3389/fgene.2023.1305107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Accepted: 11/20/2023] [Indexed: 01/03/2024] Open
Abstract
Introduction: Pre-symptomatic screening is getting more attention in healthcare as it detects the risk for developing neurodegenerative diseases like Alzheimer's disease (AD), which is very useful for treatment or prevention. AD screening could play an important role in individuals with at least one affected first-degree relative, but also without family history. As the demand for screening is rising worldwide, it is important to consider possible cross-cultural differences in attitudes toward pre-symptomatic screening in order to tailor healthcare services to the needs of each country. Objective: This study aims to investigate the attitudes of family members and non-family members of people with dementia toward pre-symptomatic screening and explore possible differences in attitudes across five European countries (Belgium, Germany, Greece, Spain, Turkey) using translated versions of the "Perceptions regarding pRE-symptomatic Alzheimer's Disease Screening" questionnaire (PRE-ADS). Methods: The multicultural sample (N = 650) was recruited from samples that were previously used in validation studies of the translated PRE-ADS versions. The subscale "Acceptability of Screening", consisting of five PRE-ADS items to specifically explore willingness to undergo screening, was created. Ιnternal consistency was measured, and structural validity was determined using Confirmatory Factor Analysis (CFA). Group comparisons were performed to investigate differences in attitudes toward pre-symptomatic AD screening regarding family history and country of origin using the PRE-ADS and the "Acceptability of Screening" mean scores. Results: Construct validity was acceptable for the PRE-ADS. Both the PRE-ADS (α = 0.76) and its subscale "Acceptability of Screening" (α = 0.90) had good internal consistency. Overall, 56.9% of the total sample expressed a positive intention toward pre-symptomatic AD screening. T-tests showed significantly higher mean scores of participants with an affected family member. An international comparison revealed differences in the "Acceptability of Screening" mean score across the five European countries. No cross-cultural differences were found for the PRE-ADS mean score after adjusting for confounding variables. Conclusion: The PRE-ADS and its subscale are reliable tools for assessing pre-symptomatic AD screening attitudes. Variations in the acceptability of screening seem to be linked to family history and cultural influences. Further research with larger samples is needed to explore underlying relationships.
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Affiliation(s)
| | - Marina Makri
- 1st Department of Neurology, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
- Greek Association of Alzheimer Disease and Related Disorders, Thessaloniki, Greece
- Laboratory of Neurodegenerative Disease, Center for Interdisciplinary Research and Innovation (CIRI—AUTh), Balkan Center, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Konrad Beyreuther
- Network Aging Research (NAR), Heidelberg University, Heidelberg, Germany
| | - Mercè Boada Rovira
- Research Center and Memory Clinic, Ace Alzheimer Center Barcelona–Universitat Internacional de Catalunya, Barcelona, Spain
| | - Akyllina Despoti
- Clinical Ergospirometry, Exercise and Rehabilitation Lab, School of Medicine, National and Kapodistrian University of Athens, Zografou, Greece
| | - Sebastiaan Engelborghs
- Department of Neurology and NEUR Research Group, Center for Neurosciences, Universitair Ziekenhuis Brussel and Vrije Universiteit Brussel, Brussel, Belgium
| | - Andrea Miguel
- Research Center and Memory Clinic, Ace Alzheimer Center Barcelona–Universitat Internacional de Catalunya, Barcelona, Spain
| | - Isabel Rodríguez
- Research Center and Memory Clinic, Ace Alzheimer Center Barcelona–Universitat Internacional de Catalunya, Barcelona, Spain
| | - Hannah Stocker
- Network Aging Research (NAR), Heidelberg University, Heidelberg, Germany
| | - Joke Temmerman
- Department of Neurology and NEUR Research Group, Center for Neurosciences, Universitair Ziekenhuis Brussel and Vrije Universiteit Brussel, Brussel, Belgium
| | - Magda Tsolaki
- 1st Department of Neurology, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Görsev Yener
- Faculty of Medicine, Izmir University of Economics, Izmir, Turkiye
| | - Deniz Yerlikaya
- Faculty of Medicine, Izmir University of Economics, Izmir, Turkiye
| | - Birgit Teichmann
- Network Aging Research (NAR), Heidelberg University, Heidelberg, Germany
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van der Schaar J, Visser LNC, Ket JCF, Groot C, Pijnenburg YAL, Scheltens P, Bredenoord AL, van den Hoven MA, van der Flier WM. Impact of sharing Alzheimer's disease biomarkers with individuals without dementia: A systematic review and meta-analysis of empirical data. Alzheimers Dement 2023; 19:5773-5794. [PMID: 37496313 DOI: 10.1002/alz.13410] [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: 04/07/2023] [Revised: 06/01/2023] [Accepted: 07/06/2023] [Indexed: 07/28/2023]
Abstract
INTRODUCTION We conducted a systematic literature review and meta-analysis of empirical evidence on expected and experienced implications of sharing Alzheimer's disease (AD) biomarker results with individuals without dementia. METHODS PubMed, Embase, APA PsycInfo, and Web of Science Core Collection were searched according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Results from included studies were synthesized, and quantitative data on psychosocial impact were meta-analyzed using a random-effects model. RESULTS We included 35 publications. Most personal stakeholders expressed interest in biomarker assessment. Learning negative biomarker results led to relief and sometimes frustration, while positive biomarkers induced anxiety but also clarity. Meta-analysis of five studies including 2012 participants (elevated amyloid = 1324 [66%], asymptomatic = 1855 [92%]) showed short-term psychological impact was not significant (random-effect estimate = 0.10, standard error = 0.23, P = 0.65). Most professional stakeholders valued biomarker testing, although attitudes and practices varied considerably. DISCUSSION Interest in AD biomarker testing was high and sharing their results did not cause psychological harm. HIGHLIGHTS Most personal stakeholders expressed interest in Alzheimer's disease biomarker assessment. Personal motivations included gaining insight, improving lifestyle, or preparing for the future. There was no short-term psychological impact of sharing biomarker status, implying it can be safe. Most professional stakeholders valued biomarker testing, believing the benefits outweigh the risk. Harmonized guidelines on biomarker testing and sharing results are required.
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Affiliation(s)
- Jetske van der Schaar
- Alzheimer Center Amsterdam, Department of Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
| | - Leonie N C Visser
- Alzheimer Center Amsterdam, Department of Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
- Department of Medical Psychology, Amsterdam UMC location University of Amsterdam/AMC, Amsterdam, the Netherlands
- Amsterdam Public Health, Quality of Care, Amsterdam, the Netherlands
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Johannes C F Ket
- Medical Library, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Colin Groot
- Alzheimer Center Amsterdam, Department of Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
| | - Yolande A L Pijnenburg
- Alzheimer Center Amsterdam, Department of Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
| | - Philip Scheltens
- Alzheimer Center Amsterdam, Department of Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
- EQT Life Sciences, Amsterdam, the Netherlands
| | - Annelien L Bredenoord
- Erasmus School of Philosophy, Erasmus University Rotterdam, Rotterdam, the Netherlands
| | | | - Wiesje M van der Flier
- Alzheimer Center Amsterdam, Department of Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
- Department of Epidemiology & Data Sciences, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
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10
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Ketchum FB, Chin NA, Erickson C, Lambrou NH, Basche K, Gleason CE, Clark L. The importance of the dyad: Participant perspectives on sharing biomarker results in Alzheimer's disease research. ALZHEIMER'S & DEMENTIA (NEW YORK, N. Y.) 2023; 9:e12416. [PMID: 37583545 PMCID: PMC10423755 DOI: 10.1002/trc2.12416] [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] [Received: 01/23/2023] [Revised: 06/23/2023] [Accepted: 06/25/2023] [Indexed: 08/17/2023]
Abstract
BACKGROUND In the asymptomatic "preclinical" phase of Alzheimer's disease (AD), abnormal biomarkers indicate risk for developing cognitive impairment. Biomarker information is increasingly being disclosed to participants in research settings, and biomarker testing and results disclosure will be implemented in clinical settings in the future. Biomarker disclosure has potential psychosocial benefits and harms, impacting affected individuals and their support person(s). Limited data are available about with whom research participants share their results, information that will be necessary to develop disclosure protocols and post-disclosure resources. Additionally, existing research has been conducted in largely White cohorts, limiting applicability to future clinical populations. METHODS We enrolled a diverse cohort of 329 adults (184 non-Hispanic White and 145 Black/African American individuals) who previously participated in AD research. After reviewing a vignette describing a hypothetical biomarker research study, participants indicated their anticipated willingness to share biomarker results with loved ones, and what reactions they anticipated from others. Using mixed-methods analysis, we identified responses related to willingness to share results. RESULTS A majority (78.7%) were willing to share their results with support persons. Many (59.6%) felt it would not be difficult to share, and most (90.6%) believed their loved ones would be supportive. The most common reasons for sharing were to prepare for possible future AD (41.0% of respondents), while the most common reason for not sharing was to avoid worrying loved ones (4.8% of respondents). A total of 7.3% of respondents related reasons regarding being unsure about sharing. DISCUSSION Participants' interest in sharing results supports integrating support persons into AD biomarker research, and may help maximize potential benefits for participants. Communicating with this "dyad" of research participant and support person(s) may improve involvement in research, and help prepare for implementation of clinical biomarker testing by clarifying communication preferences and the influence of support persons on psychosocial outcomes.
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Affiliation(s)
- Fred B. Ketchum
- Department of NeurologySchool of Medicine and Public HealthUniversity of WisconsinMadisonWisconsinUSA
| | - Nathaniel A. Chin
- Division of GeriatricsDepartment of MedicineUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
- Wisconsin Alzheimer's Disease Research CenterMadisonWisconsinUSA
| | - Claire Erickson
- Department of Medical Ethics and Health PolicyUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPennsylvaniaUSA
| | - Nickolas H. Lambrou
- Division of GeriatricsDepartment of MedicineUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
| | - Kristin Basche
- Division of GeriatricsDepartment of MedicineUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
| | - Carey E. Gleason
- Division of GeriatricsDepartment of MedicineUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
- Wisconsin Alzheimer's Disease Research CenterMadisonWisconsinUSA
- Geriatric ResearchEducation and Clinical CenterWilliam S. Middleton Memorial Veterans HospitalMadisonWisconsinUSA
| | - Lindsay Clark
- Division of GeriatricsDepartment of MedicineUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
- Wisconsin Alzheimer's Disease Research CenterMadisonWisconsinUSA
- Geriatric ResearchEducation and Clinical CenterWilliam S. Middleton Memorial Veterans HospitalMadisonWisconsinUSA
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11
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Ford E, Milne R, Curlewis K. Ethical issues when using digital biomarkers and artificial intelligence for the early detection of dementia. WILEY INTERDISCIPLINARY REVIEWS. DATA MINING AND KNOWLEDGE DISCOVERY 2023; 13:e1492. [PMID: 38439952 PMCID: PMC10909482 DOI: 10.1002/widm.1492] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Revised: 01/12/2023] [Accepted: 01/13/2023] [Indexed: 03/06/2024]
Abstract
Dementia poses a growing challenge for health services but remains stigmatized and under-recognized. Digital technologies to aid the earlier detection of dementia are approaching market. These include traditional cognitive screening tools presented on mobile devices, smartphone native applications, passive data collection from wearable, in-home and in-car sensors, as well as machine learning techniques applied to clinic and imaging data. It has been suggested that earlier detection and diagnosis may help patients plan for their future, achieve a better quality of life, and access clinical trials and possible future disease modifying treatments. In this review, we explore whether digital tools for the early detection of dementia can or should be deployed, by assessing them against the principles of ethical screening programs. We conclude that while the importance of dementia as a health problem is unquestionable, significant challenges remain. There is no available treatment which improves the prognosis of diagnosed disease. Progression from early-stage disease to dementia is neither given nor currently predictable. Available technologies are generally not both minimally invasive and highly accurate. Digital deployment risks exacerbating health inequalities due to biased training data and inequity in digital access. Finally, the acceptability of early dementia detection is not established, and resources would be needed to ensure follow-up and support for those flagged by any new system. We conclude that early dementia detection deployed at scale via digital technologies does not meet standards for a screening program and we offer recommendations for moving toward an ethical mode of implementation. This article is categorized under:Application Areas > Health CareCommercial, Legal, and Ethical Issues > Ethical ConsiderationsTechnologies > Artificial Intelligence.
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Affiliation(s)
- Elizabeth Ford
- Department of Primary Care and Public HealthBrighton and Sussex Medical SchoolBrightonUK
| | - Richard Milne
- Kavli Centre for Ethics, Science and the PublicUniversity of CambridgeCambridgeUK
- Engagement and SocietyWellcome Connecting ScienceCambridgeUK
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12
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Bao H, Cao J, Chen M, Chen M, Chen W, Chen X, Chen Y, Chen Y, Chen Y, Chen Z, Chhetri JK, Ding Y, Feng J, Guo J, Guo M, He C, Jia Y, Jiang H, Jing Y, Li D, Li J, Li J, Liang Q, Liang R, Liu F, Liu X, Liu Z, Luo OJ, Lv J, Ma J, Mao K, Nie J, Qiao X, Sun X, Tang X, Wang J, Wang Q, Wang S, Wang X, Wang Y, Wang Y, Wu R, Xia K, Xiao FH, Xu L, Xu Y, Yan H, Yang L, Yang R, Yang Y, Ying Y, Zhang L, Zhang W, Zhang W, Zhang X, Zhang Z, Zhou M, Zhou R, Zhu Q, Zhu Z, Cao F, Cao Z, Chan P, Chen C, Chen G, Chen HZ, Chen J, Ci W, Ding BS, Ding Q, Gao F, Han JDJ, Huang K, Ju Z, Kong QP, Li J, Li J, Li X, Liu B, Liu F, Liu L, Liu Q, Liu Q, Liu X, Liu Y, Luo X, Ma S, Ma X, Mao Z, Nie J, Peng Y, Qu J, Ren J, Ren R, Song M, Songyang Z, Sun YE, Sun Y, Tian M, Wang S, Wang S, Wang X, Wang X, Wang YJ, Wang Y, Wong CCL, Xiang AP, Xiao Y, Xie Z, Xu D, Ye J, Yue R, Zhang C, Zhang H, Zhang L, Zhang W, Zhang Y, Zhang YW, Zhang Z, Zhao T, Zhao Y, Zhu D, Zou W, Pei G, Liu GH. Biomarkers of aging. SCIENCE CHINA. LIFE SCIENCES 2023; 66:893-1066. [PMID: 37076725 PMCID: PMC10115486 DOI: 10.1007/s11427-023-2305-0] [Citation(s) in RCA: 108] [Impact Index Per Article: 54.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 02/27/2023] [Indexed: 04/21/2023]
Abstract
Aging biomarkers are a combination of biological parameters to (i) assess age-related changes, (ii) track the physiological aging process, and (iii) predict the transition into a pathological status. Although a broad spectrum of aging biomarkers has been developed, their potential uses and limitations remain poorly characterized. An immediate goal of biomarkers is to help us answer the following three fundamental questions in aging research: How old are we? Why do we get old? And how can we age slower? This review aims to address this need. Here, we summarize our current knowledge of biomarkers developed for cellular, organ, and organismal levels of aging, comprising six pillars: physiological characteristics, medical imaging, histological features, cellular alterations, molecular changes, and secretory factors. To fulfill all these requisites, we propose that aging biomarkers should qualify for being specific, systemic, and clinically relevant.
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Affiliation(s)
- Hainan Bao
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
| | - Jiani Cao
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Mengting Chen
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, 410008, China
- Hunan Key Laboratory of Aging Biology, Xiangya Hospital, Central South University, Changsha, 410008, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, China
| | - Min Chen
- Clinic Center of Human Gene Research, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Clinical Research Center of Metabolic and Cardiovascular Disease, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Key Laboratory of Metabolic Abnormalities and Vascular Aging, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Wei Chen
- Stem Cell Translational Research Center, Tongji Hospital, Tongji University School of Medicine, Shanghai, 200065, China
| | - Xiao Chen
- Department of Nuclear Medicine, Daping Hospital, Third Military Medical University, Chongqing, 400042, China
| | - Yanhao Chen
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Yu Chen
- Shanghai Key Laboratory of Maternal Fetal Medicine, Clinical and Translational Research Center of Shanghai First Maternity and Infant Hospital, Frontier Science Center for Stem Cell Research, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China
| | - Yutian Chen
- The Department of Endovascular Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Zhiyang Chen
- Key Laboratory of Regenerative Medicine of Ministry of Education, Institute of Ageing and Regenerative Medicine, Jinan University, Guangzhou, 510632, China
| | - Jagadish K Chhetri
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
| | - Yingjie Ding
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Junlin Feng
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Jun Guo
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, 100730, China
| | - Mengmeng Guo
- School of Pharmaceutical Sciences, Tsinghua University, Beijing, 100084, China
| | - Chuting He
- University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Yujuan Jia
- Department of Neurology, First Affiliated Hospital, Shanxi Medical University, Taiyuan, 030001, China
| | - Haiping Jiang
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Ying Jing
- Beijing Municipal Geriatric Medical Research Center, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Aging Translational Medicine Center, International Center for Aging and Cancer, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, 100053, China
| | - Dingfeng Li
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230036, China
| | - Jiaming Li
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Jingyi Li
- University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Qinhao Liang
- College of Life Sciences, TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan, 430072, China
| | - Rui Liang
- Research Institute of Transplant Medicine, Organ Transplant Center, NHC Key Laboratory for Critical Care Medicine, Tianjin First Central Hospital, Nankai University, Tianjin, 300384, China
| | - Feng Liu
- MOE Key Laboratory of Gene Function and Regulation, Guangzhou Key Laboratory of Healthy Aging Research, School of Life Sciences, Institute of Healthy Aging Research, Sun Yat-sen University, Guangzhou, 510275, China
| | - Xiaoqian Liu
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Zuojun Liu
- School of Life Sciences, Hainan University, Haikou, 570228, China
| | - Oscar Junhong Luo
- Department of Systems Biomedical Sciences, School of Medicine, Jinan University, Guangzhou, 510632, China
| | - Jianwei Lv
- School of Life Sciences, Xiamen University, Xiamen, 361102, China
| | - Jingyi Ma
- The State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - Kehang Mao
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Center for Quantitative Biology (CQB), Peking University, Beijing, 100871, China
| | - Jiawei Nie
- Shanghai Institute of Hematology, State Key Laboratory for Medical Genomics, National Research Center for Translational Medicine (Shanghai), International Center for Aging and Cancer, Collaborative Innovation Center of Hematology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Xinhua Qiao
- National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China
| | - Xinpei Sun
- Peking University International Cancer Institute, Health Science Center, Peking University, Beijing, 100101, China
| | - Xiaoqiang Tang
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, Chengdu, 610041, China
| | - Jianfang Wang
- Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China
| | - Qiaoran Wang
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Siyuan Wang
- Clinical Research Institute, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, 100730, China
| | - Xuan Wang
- Hepatobiliary and Pancreatic Center, Medical Research Center, Beijing Tsinghua Changgung Hospital, Beijing, 102218, China
| | - Yaning Wang
- Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
- Advanced Medical Technology Center, The First Affiliated Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
| | - Yuhan Wang
- University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Rimo Wu
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, 510005, China
| | - Kai Xia
- Center for Stem Cell Biologyand Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-sen University, Guangzhou, 510080, China
- National-Local Joint Engineering Research Center for Stem Cells and Regenerative Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
| | - Fu-Hui Xiao
- CAS Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650223, China
- State Key Laboratory of Genetic Resources and Evolution, Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Key Laboratory of Healthy Aging Study, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China
| | - Lingyan Xu
- Shanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, 200241, China
| | - Yingying Xu
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
| | - Haoteng Yan
- Beijing Municipal Geriatric Medical Research Center, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Aging Translational Medicine Center, International Center for Aging and Cancer, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, 100053, China
| | - Liang Yang
- CAS Key Laboratory of Regenerative Biology, Joint School of Life Sciences, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou Medical University, Guangzhou, 510530, China
| | - Ruici Yang
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, 200031, China
| | - Yuanxin Yang
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, 201210, China
| | - Yilin Ying
- Department of Geriatrics, Medical Center on Aging of Shanghai Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- International Laboratory in Hematology and Cancer, Shanghai Jiao Tong University School of Medicine/Ruijin Hospital, Shanghai, 200025, China
| | - Le Zhang
- Gerontology Center of Hubei Province, Wuhan, 430000, China
- Institute of Gerontology, Department of Geriatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Weiwei Zhang
- Department of Cardiology, The Second Medical Centre, Chinese PLA General Hospital, National Clinical Research Center for Geriatric Diseases, Beijing, 100853, China
| | - Wenwan Zhang
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Xing Zhang
- Key Laboratory of Ministry of Education, School of Aerospace Medicine, Fourth Military Medical University, Xi'an, 710032, China
| | - Zhuo Zhang
- Optogenetics & Synthetic Biology Interdisciplinary Research Center, State Key Laboratory of Bioreactor Engineering, Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, School of Pharmacy, East China University of Science and Technology, Shanghai, 200237, China
- Research Unit of New Techniques for Live-cell Metabolic Imaging, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Min Zhou
- Department of Endocrinology, Endocrinology Research Center, Xiangya Hospital of Central South University, Changsha, 410008, China
| | - Rui Zhou
- Department of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, 310009, China
| | - Qingchen Zhu
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Zhengmao Zhu
- Department of Genetics and Cell Biology, College of Life Science, Nankai University, Tianjin, 300071, China
- Haihe Laboratory of Cell Ecosystem, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
| | - Feng Cao
- Department of Cardiology, The Second Medical Centre, Chinese PLA General Hospital, National Clinical Research Center for Geriatric Diseases, Beijing, 100853, China.
| | - Zhongwei Cao
- State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
| | - Piu Chan
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
| | - Chang Chen
- National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Guobing Chen
- Department of Microbiology and Immunology, School of Medicine, Jinan University, Guangzhou, 510632, China.
- Guangdong-Hong Kong-Macau Great Bay Area Geroscience Joint Laboratory, Guangzhou, 510000, China.
| | - Hou-Zao Chen
- Department of Biochemistryand Molecular Biology, State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100005, China.
| | - Jun Chen
- Peking University Research Center on Aging, Beijing Key Laboratory of Protein Posttranslational Modifications and Cell Function, Department of Biochemistry and Molecular Biology, Department of Integration of Chinese and Western Medicine, School of Basic Medical Science, Peking University, Beijing, 100191, China.
| | - Weimin Ci
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China.
| | - Bi-Sen Ding
- State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
| | - Qiurong Ding
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, China.
| | - Feng Gao
- Key Laboratory of Ministry of Education, School of Aerospace Medicine, Fourth Military Medical University, Xi'an, 710032, China.
| | - Jing-Dong J Han
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Center for Quantitative Biology (CQB), Peking University, Beijing, 100871, China.
| | - Kai Huang
- Clinic Center of Human Gene Research, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
- Hubei Clinical Research Center of Metabolic and Cardiovascular Disease, Huazhong University of Science and Technology, Wuhan, 430022, China.
- Hubei Key Laboratory of Metabolic Abnormalities and Vascular Aging, Huazhong University of Science and Technology, Wuhan, 430022, China.
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
| | - Zhenyu Ju
- Key Laboratory of Regenerative Medicine of Ministry of Education, Institute of Ageing and Regenerative Medicine, Jinan University, Guangzhou, 510632, China.
| | - Qing-Peng Kong
- CAS Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650223, China.
- State Key Laboratory of Genetic Resources and Evolution, Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Key Laboratory of Healthy Aging Study, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China.
| | - Ji Li
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, 410008, China.
- Hunan Key Laboratory of Aging Biology, Xiangya Hospital, Central South University, Changsha, 410008, China.
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, China.
| | - Jian Li
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, 100730, China.
| | - Xin Li
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Baohua Liu
- School of Basic Medical Sciences, Shenzhen University Medical School, Shenzhen, 518060, China.
| | - Feng Liu
- Metabolic Syndrome Research Center, The Second Xiangya Hospital, Central South Unversity, Changsha, 410011, China.
| | - Lin Liu
- Department of Genetics and Cell Biology, College of Life Science, Nankai University, Tianjin, 300071, China.
- Haihe Laboratory of Cell Ecosystem, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China.
- Institute of Translational Medicine, Tianjin Union Medical Center, Nankai University, Tianjin, 300000, China.
- State Key Laboratory of Medicinal Chemical Biology, Nankai University, Tianjin, 300350, China.
| | - Qiang Liu
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230036, China.
| | - Qiang Liu
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, 300052, China.
- Tianjin Institute of Immunology, Tianjin Medical University, Tianjin, 300070, China.
| | - Xingguo Liu
- CAS Key Laboratory of Regenerative Biology, Joint School of Life Sciences, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou Medical University, Guangzhou, 510530, China.
| | - Yong Liu
- College of Life Sciences, TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan, 430072, China.
| | - Xianghang Luo
- Department of Endocrinology, Endocrinology Research Center, Xiangya Hospital of Central South University, Changsha, 410008, China.
| | - Shuai Ma
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Xinran Ma
- Shanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, 200241, China.
| | - Zhiyong Mao
- Shanghai Key Laboratory of Maternal Fetal Medicine, Clinical and Translational Research Center of Shanghai First Maternity and Infant Hospital, Frontier Science Center for Stem Cell Research, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China.
| | - Jing Nie
- The State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
| | - Yaojin Peng
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Jing Qu
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Jie Ren
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Ruibao Ren
- Shanghai Institute of Hematology, State Key Laboratory for Medical Genomics, National Research Center for Translational Medicine (Shanghai), International Center for Aging and Cancer, Collaborative Innovation Center of Hematology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
- International Center for Aging and Cancer, Hainan Medical University, Haikou, 571199, China.
| | - Moshi Song
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Zhou Songyang
- MOE Key Laboratory of Gene Function and Regulation, Guangzhou Key Laboratory of Healthy Aging Research, School of Life Sciences, Institute of Healthy Aging Research, Sun Yat-sen University, Guangzhou, 510275, China.
- Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, China.
| | - Yi Eve Sun
- Stem Cell Translational Research Center, Tongji Hospital, Tongji University School of Medicine, Shanghai, 200065, China.
| | - Yu Sun
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China.
- Department of Medicine and VAPSHCS, University of Washington, Seattle, WA, 98195, USA.
| | - Mei Tian
- Human Phenome Institute, Fudan University, Shanghai, 201203, China.
| | - Shusen Wang
- Research Institute of Transplant Medicine, Organ Transplant Center, NHC Key Laboratory for Critical Care Medicine, Tianjin First Central Hospital, Nankai University, Tianjin, 300384, China.
| | - Si Wang
- Beijing Municipal Geriatric Medical Research Center, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
- Aging Translational Medicine Center, International Center for Aging and Cancer, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, 100053, China.
| | - Xia Wang
- School of Pharmaceutical Sciences, Tsinghua University, Beijing, 100084, China.
| | - Xiaoning Wang
- Institute of Geriatrics, The second Medical Center, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, 100853, China.
| | - Yan-Jiang Wang
- Department of Neurology and Center for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, 400042, China.
| | - Yunfang Wang
- Hepatobiliary and Pancreatic Center, Medical Research Center, Beijing Tsinghua Changgung Hospital, Beijing, 102218, China.
| | - Catherine C L Wong
- Clinical Research Institute, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, 100730, China.
| | - Andy Peng Xiang
- Center for Stem Cell Biologyand Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-sen University, Guangzhou, 510080, China.
- National-Local Joint Engineering Research Center for Stem Cells and Regenerative Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
| | - Yichuan Xiao
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China.
| | - Zhengwei Xie
- Peking University International Cancer Institute, Health Science Center, Peking University, Beijing, 100101, China.
- Beijing & Qingdao Langu Pharmaceutical R&D Platform, Beijing Gigaceuticals Tech. Co. Ltd., Beijing, 100101, China.
| | - Daichao Xu
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, 201210, China.
| | - Jing Ye
- Department of Geriatrics, Medical Center on Aging of Shanghai Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
- International Laboratory in Hematology and Cancer, Shanghai Jiao Tong University School of Medicine/Ruijin Hospital, Shanghai, 200025, China.
| | - Rui Yue
- Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China.
| | - Cuntai Zhang
- Gerontology Center of Hubei Province, Wuhan, 430000, China.
- Institute of Gerontology, Department of Geriatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
| | - Hongbo Zhang
- Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
- Advanced Medical Technology Center, The First Affiliated Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
| | - Liang Zhang
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Weiqi Zhang
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Yong Zhang
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, 510005, China.
- The State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, Beijing, 100005, China.
| | - Yun-Wu Zhang
- Fujian Provincial Key Laboratory of Neurodegenerative Disease and Aging Research, Institute of Neuroscience, School of Medicine, Xiamen University, Xiamen, 361102, China.
| | - Zhuohua Zhang
- Key Laboratory of Molecular Precision Medicine of Hunan Province and Center for Medical Genetics, Institute of Molecular Precision Medicine, Xiangya Hospital, Central South University, Changsha, 410078, China.
- Department of Neurosciences, Hengyang Medical School, University of South China, Hengyang, 421001, China.
| | - Tongbiao Zhao
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Yuzheng Zhao
- Optogenetics & Synthetic Biology Interdisciplinary Research Center, State Key Laboratory of Bioreactor Engineering, Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, School of Pharmacy, East China University of Science and Technology, Shanghai, 200237, China.
- Research Unit of New Techniques for Live-cell Metabolic Imaging, Chinese Academy of Medical Sciences, Beijing, 100730, China.
| | - Dahai Zhu
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, 510005, China.
- The State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, Beijing, 100005, China.
| | - Weiguo Zou
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, 200031, China.
| | - Gang Pei
- Shanghai Key Laboratory of Signaling and Disease Research, Laboratory of Receptor-Based Biomedicine, The Collaborative Innovation Center for Brain Science, School of Life Sciences and Technology, Tongji University, Shanghai, 200070, China.
| | - Guang-Hui Liu
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, 100053, China.
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13
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Hartz SM, Mozersky J, Schindler SE, Linnenbringer E, Wang J, Gordon BA, Raji CA, Moulder KL, West T, Benzinger TL, Cruchaga C, Hassenstab JJ, Bierut LJ, Xiong C, Morris JC. A flexible modeling approach for biomarker-based computation of absolute risk of Alzheimer's disease dementia. Alzheimers Dement 2023; 19:1452-1465. [PMID: 36178120 PMCID: PMC10060442 DOI: 10.1002/alz.12781] [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: 11/19/2021] [Revised: 06/15/2022] [Accepted: 07/21/2022] [Indexed: 01/19/2023]
Abstract
INTRODUCTION As Alzheimer's disease (AD) biomarkers rapidly develop, tools are needed that accurately and effectively communicate risk of AD dementia. METHODS We analyzed longitudinal data from >10,000 cognitively unimpaired older adults. Five-year risk of AD dementia was modeled using survival analysis. RESULTS A demographic model was developed and validated on independent data with area under the receiver operating characteristic curve (AUC) for 5-year prediction of AD dementia of 0.79. Clinical and cognitive variables (AUC = 0.79), and apolipoprotein E genotype (AUC = 0.76) were added to the demographic model. We then incorporated the risk computed from the demographic model with hazard ratios computed from independent data for amyloid positron emission tomography status and magnetic resonance imaging hippocampal volume (AUC = 0.84), and for plasma amyloid beta (Aβ)42/Aβ40 (AUC = 0.82). DISCUSSION An adaptive tool was developed and validated to compute absolute risks of AD dementia. This approach allows for improved accuracy and communication of AD risk among cognitively unimpaired older adults.
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Affiliation(s)
- Sarah M. Hartz
- Washington University School of Medicine, St. Louis, Missouri, USA
| | - Jessica Mozersky
- Washington University School of Medicine, St. Louis, Missouri, USA
| | | | | | - Junwei Wang
- Washington University School of Medicine, St. Louis, Missouri, USA
| | - Brian A. Gordon
- Washington University School of Medicine, St. Louis, Missouri, USA
| | - Cyrus A. Raji
- Washington University School of Medicine, St. Louis, Missouri, USA
| | | | - Tim West
- C2N Diagnostics, St. Louis, Missouri USA
| | | | - Carlos Cruchaga
- Washington University School of Medicine, St. Louis, Missouri, USA
| | | | - Laura J. Bierut
- Washington University School of Medicine, St. Louis, Missouri, USA
| | - Chengjie Xiong
- Washington University School of Medicine, St. Louis, Missouri, USA
| | - John C. Morris
- Washington University School of Medicine, St. Louis, Missouri, USA
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14
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Stefani A, Mozersky J, Kotagal V, Högl B, Ingravallo F, Ju YES, Avidan A, Sharp R, Videnovic A, Schenck CH, St Louis EK. Ethical Aspects of Prodromal Synucleinopathy Prognostic Counseling. Semin Neurol 2023; 43:166-177. [PMID: 36693433 DOI: 10.1055/a-2019-0245] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
Alpha-synucleinopathies can be identified in their prodromal phase, raising several ethical issues. In this review, we first provide definitions of prodromal α-synucleinopathies and discuss the importance of distinguishing between prodromes and risk factors. Next, we discuss the implications of a diagnosis of prodromal α-synucleinopathy and considerations regarding prognostic counseling in both clinical and research settings. We review available data on patient preferences regarding disclosure as well as providers' perspectives. We examine the pros and cons of disclosing a diagnosis of prodromal α-synucleinopathy, taking into consideration the differences between clinical and research settings. Asking about willingness to know in clinical and research settings and the shared decision-making process applied to prognostic counseling is discussed. Concerning research settings, ethical aspects regarding clinical trials are addressed. Availability of direct-to-consumer technologies will likely lead to novel contexts requiring prognostic counseling, and future neuroprotective or neuromodulating treatments may require further considerations on the timing, role, and importance of prognostic counseling. Recommendations on how to address ethical gaps should be a priority for patients, medical professional societies, and research workgroups. Ethical issues must be considered as an integral part of the overall clinical and research approach to prodromal synucleinopathies.
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Affiliation(s)
- Ambra Stefani
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria.,Neurological Clinical Research Institute, Massachusetts General Hospital, Harvard University, Boston, Massachusetts
| | - Jessica Mozersky
- Division of General Medical Sciences, Washington University in Saint Louis, Saint Louis, Missouri
| | - Vikas Kotagal
- Department of Neurology, University of Michigan-Ann Arbor, Ann Arbor, Michigan
| | - Birgit Högl
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Francesca Ingravallo
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, Emilia-Romagna, Italy
| | - Yo-El S Ju
- Division of General Medical Sciences, Washington University in Saint Louis, Saint Louis, Missouri
| | - Alon Avidan
- Department of Neurology, University of California-Los Angeles, Los Angeles, California
| | - Richard Sharp
- Department of Quantitative Health Sciences, Mayo Clinic College of Medicine and Science, Rochester, Minnesota
| | - Aleksandar Videnovic
- Neurological Clinical Research Institute, Massachusetts General Hospital, Harvard University, Boston, Massachusetts
| | - Carlos H Schenck
- Department of Psychiatry, University of Minnesota, Minneapolis, Minnesota
| | - Erik K St Louis
- Department of Quantitative Health Sciences, Mayo Clinic College of Medicine and Science, Rochester, Minnesota
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15
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Cox CG, Davis MA, Grill JD, Roberts JS. US Adults' Likelihood to Participate in Dementia Prevention Drug Trials: Results from the National Poll on Healthy Aging. J Prev Alzheimers Dis 2023; 10:34-40. [PMID: 36641608 PMCID: PMC9579667 DOI: 10.14283/jpad.2022.86] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Accepted: 09/04/2022] [Indexed: 11/06/2022]
Abstract
BACKGROUND Recruitment to dementia prevention clinical trials is challenging, and participants are not representative of US adults at risk. A better understanding of the general public's interest in dementia prevention research participation is needed to inform future recruitment strategies. OBJECTIVE To examine US adults' characteristics associated with self-reported likelihood to participate in dementia prevention clinical trials. DESIGN We conducted a cross-sectional survey using the October 2018 wave of the University of Michigan National Poll on Healthy Aging. SETTING The National Poll on Healthy Aging is a nationally representative survey of adults using KnowledgePanel (Ipsos Public Affairs LLC), a probability-based panel of the civilian, noninstitutionalized US population. PARTICIPANTS We analyzed data from 1,028 respondents, ages 50 to 64 years, who completed a web survey module on brain health. MEASUREMENTS We used logistic regression models to examine associations between sociodemographic and dementia-related factors (e.g., family history) and self-reported likelihood to participate in a dementia prevention clinical trial of a new medicine ("very" or "somewhat likely" vs. "not likely" survey responses). Among respondents not likely to participate, we examined frequency of reasons endorsed for this decision, stratified by age, sex, and race and ethnicity. RESULTS Of the 1,028 respondents, half were female, 68% Non-Hispanic White, 13% Hispanic, and 12% Non-Hispanic Black. Twelve percent of respondents reported being very likely to participate in a dementia prevention trial, 32% somewhat likely, and 56% not likely. Factors associated with higher likelihood to participate were higher perceived risk of dementia [OR, 2.17 (95% CI, 1.61, 2.93)], a positive family history of dementia [OR, 1.75 (95% CI, 1.27, 2.43)], and having discussed dementia prevention with a doctor [OR, 2.20 (95% CI, 1.10, 4.42)]. There were no differences in likelihood to participate by sociodemographic characteristics. Among 570 respondents not likely to participate, 39% said they did not want to be a guinea pig, 23% thought dementia would not affect them, 22% thought there would be too high a chance for harm, 15% indicated study participation would take too much time, and 5% reported fear of learning information about oneself. There were no differences across age, sex, and racial and ethnic groups. CONCLUSIONS In this study, perceived risk of dementia, family history, and discussion of prevention with a doctor were associated with likelihood to participate in a dementia prevention clinical trial, whereas sociodemographic factors including race and ethnicity were not. Findings suggest that recruitment interventions focused on increasing knowledge of dementia risk and prevention trials and involving healthcare providers may be effective tools to improve enrollment rates, regardless of target community.
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Affiliation(s)
- C G Cox
- Chelsea G. Cox, 1415 Washington Heights, Ann Arbor, MI 48109-2029, USA,
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16
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Makri M, Gkioka M, Moraitou D, Fidani L, Tegos T, Tsolaki M. Attitudes, Motivations, and Barriers to Pre-Symptomatic Alzheimer's Disease Screening: Development and Validation of the 'Perceptions regarding pRE-symptomatic Alzheimer's Disease Screening' (PRE-ADS) Questionnaire. J Alzheimers Dis 2023; 95:1163-1174. [PMID: 37661876 DOI: 10.3233/jad-220954] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/05/2023]
Abstract
BACKGROUND Pre-symptomatic screening methods for detecting a higher risk of Alzheimer's disease (AD) are gaining popularity; thus, more people are seeking these tests. However, to date, not much is known about the attitudes toward pre-symptomatic AD screening. OBJECTIVE The goal of this study is to examine the psychometric properties of a tool for assessing the attitudes, barriers, and motivations to pre-symptomatic AD screening. METHODS This is a cross-sectional study performed on 208 Greek participants (189 students and 19 caregivers) provided with an online questionnaire. Psychometric properties were assessed through the examination of its construct validity (principal component analysis) and internal consistency. RESULTS Exploratory factor analysis revealed the presence of four factors. The first factor is labeled as "Perceived harms of testing" (10 items), the second "Acceptance of testing" (5 items), the third "Perceived benefits of testing" (6 items), and the fourth factor "Need for knowledge" (4 items). The reliability (internal consistency) of each factor separately was acceptable to good (0.70-0.87) while the internal consistency of the overall questionnaire (25 items) was good (Cronbach's α=0.82). CONCLUSION PRE-ADS is a valid questionnaire that might help in the research of peoples' attitudes related to the pros and cons of pre-symptomatic screening for AD, and the development of effective counseling programs and prevention strategies. However, future research is required in the target population.
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Affiliation(s)
- Marina Makri
- Department of Neurology, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
- Greek Association of Alzheimer Disease and Related Disorders, Thessaloniki, Greece
- Laboratory of Neurodegenerative Diseases, Center for Interdisciplinary Research and Innovation (CIRI - AUTh), Balkan Center, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Mara Gkioka
- Department of Neurology, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
- Laboratory of Neurodegenerative Diseases, Center for Interdisciplinary Research and Innovation (CIRI - AUTh), Balkan Center, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Despina Moraitou
- Department of Experimental and Cognitive Psychology, School of Psychology, Aristotle University of Thessaloniki, Thessaloniki, Greece
- Laboratory of Neurodegenerative Diseases, Center for Interdisciplinary Research and Innovation (CIRI - AUTh), Balkan Center, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Liana Fidani
- Department of Medical Biology-Genetics, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Thomas Tegos
- Department of Neurology, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
- Laboratory of Neurodegenerative Diseases, Center for Interdisciplinary Research and Innovation (CIRI - AUTh), Balkan Center, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Magdalini Tsolaki
- Department of Neurology, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
- Greek Association of Alzheimer Disease and Related Disorders, Thessaloniki, Greece
- Laboratory of Neurodegenerative Diseases, Center for Interdisciplinary Research and Innovation (CIRI - AUTh), Balkan Center, Aristotle University of Thessaloniki, Thessaloniki, Greece
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17
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Galluzzi S, Pievani M, Zanetti O, Benussi L, Frisoni GB, Di Maria E. Disclosure of Genetic Risk Factors for Alzheimer's Disease to Cognitively Healthy Individuals-From Current Practice towards a Personalised Medicine Scenario. Biomedicines 2022; 10:biomedicines10123177. [PMID: 36551936 PMCID: PMC9775740 DOI: 10.3390/biomedicines10123177] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Revised: 11/26/2022] [Accepted: 12/06/2022] [Indexed: 12/13/2022] Open
Abstract
Alzheimer's disease (AD) is a genetically complex disorder. In addition to the relatively small number of pathogenic variants causing autosomal dominant AD, many others have been associated with the much more common sporadic form. The E4 allele of the Apolipoprotein E (APOE) is the first discovered genetic risk factor for AD. In addition, more than 70 genetic risk loci contributing to AD have been identified. Current guidelines do not recommend AD susceptibility genetic testing in cognitively healthy adults because the implications for clinical care are limited. However, secondary prevention clinical trials of disease-modifying therapies enrol individuals based on genetic criteria, and participants are often informed of APOE testing results. Moreover, the availability of direct-to-consumer genetic testing allows individuals to learn their own AD genetic risk profile without medical supervision. A number of research protocols for AD susceptibility genetic testing have been proposed. In Italy, disclosure processes and protocols beyond those developed for inherited dementia have not been established yet. We reviewed the literature on the current practice and clinical issues related to disclosing AD genetic risk to cognitively healthy individuals and provide suggestions that may help to develop specific guidelines at the national level.
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Affiliation(s)
- Samantha Galluzzi
- Laboratory Alzheimer’s Neuroimaging & Epidemiology, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, 25125 Brescia, Italy
| | - Michela Pievani
- Laboratory Alzheimer’s Neuroimaging & Epidemiology, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, 25125 Brescia, Italy
| | - Orazio Zanetti
- Memory Clinic, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, 25125 Brescia, Italy
| | - Luisa Benussi
- Molecular Markers Laboratory, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, 25125 Brescia, Italy
| | | | - Giovanni B. Frisoni
- Laboratory of Neuroimaging of Aging (LANVIE), University of Geneva, 1205 Geneva, Switzerland
- Geneva Memory Center, Department of Rehabilitation and Geriatrics, Geneva University Hospitals, 1205 Geneva, Switzerland
| | - Emilio Di Maria
- Department of Health Sciences, University of Genoa, 16132 Genoa, Italy
- University Unit of Medical Genetics, Galliera Hospital, 16128 Genoa, Italy
- Correspondence:
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18
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Carver RB, Fredheim NAG, Mowinckel AM, Ebmeier KP, Friedman BB, Rosness TA, Drevon CA, Suri S, Baaré WFC, Zsoldos E, Solé-Padullés C, Bartrés-Faz D, Ghisletta P, Nawijn L, Düzel S, Madsen KS, Fjell AM, Lindenberger U, Walhovd KB, Budin-Ljøsne I. People's interest in brain health testing: Findings from an international, online cross-sectional survey. Front Public Health 2022; 10:998302. [PMID: 36339192 PMCID: PMC9631023 DOI: 10.3389/fpubh.2022.998302] [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: 07/19/2022] [Accepted: 09/26/2022] [Indexed: 01/26/2023] Open
Abstract
Brain health entails mental wellbeing and cognitive health in the absence of brain disorders. The past decade has seen an explosion of tests, cognitive and biological, to predict various brain conditions, such as Alzheimer's Disease. In line with these current developments, we investigated people's willingness and reasons to-or not to-take a hypothetical brain health test to learn about risk of developing a brain disease, in a cross-sectional multilanguage online survey. The survey was part of the Global Brain Health Survey, open to the public from 4th June 2019 to 31st August 2020. Respondents were largely recruited via European brain councils and research organizations. 27,590 people responded aged 18 years or older and were predominantly women (71%), middle-aged or older (>40 years; 83%), and highly educated (69%). Responses were analyzed to explore the relationship between demographic variables and responses. Results We found high public interest in brain health testing: over 91% would definitely or probably take a brain health test and 86% would do so even if it gave information about a disease that cannot be treated or prevented. The main reason for taking a test was the ability to respond if one was found to be at risk of brain disease, such as changing lifestyle, seeking counseling or starting treatment. Higher interest in brain health testing was found in men, respondents with lower education levels and those with poor self-reported cognitive health. Conclusion High public interest in brain health and brain health testing in certain segments of society, coupled with an increase of commercial tests entering the market, is likely to put pressure on public health systems to inform the public about brain health testing in years to come.
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Affiliation(s)
- Rebecca B. Carver
- Department of Communication, Norwegian Institute of Public Health, Oslo, Norway,*Correspondence: Rebecca B. Carver
| | | | - Athanasia Monika Mowinckel
- Department of Psychology, Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway
| | - Klaus P. Ebmeier
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
| | - Barbara Bodorkos Friedman
- Department of Psychology, Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway
| | - Tor Atle Rosness
- Reviews and Health Technology Assessments Cluster, Norwegian Institute of Public Health, Oslo, Norway
| | - Christian A. Drevon
- Department Nutrition, Faculty of Medicine, Institute Basic Medical Sciences, University of Oslo, Oslo, Norway,Vitas AS, Oslo Science Park, Oslo, Norway
| | - Sana Suri
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom,Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, United Kingdom
| | - William F. C. Baaré
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Amager and Hvidovre, Copenhagen, Denmark
| | - Eniko Zsoldos
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom,Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, United Kingdom
| | - Cristina Solé-Padullés
- Department of Medicine, Faculty of Medicine and Health Sciences & Institute of Neurosciences, University of Barcelona, Barcelona, Spain
| | - David Bartrés-Faz
- Department of Medicine, Faculty of Medicine and Health Sciences & Institute of Neurosciences, University of Barcelona, Barcelona, Spain,Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Paolo Ghisletta
- Faculty of Psychology and Educational Sciences, University of Geneva, Geneva, Switzerland,UniDistance Suisse, Brig, Switzerland,Swiss National Centre of Competence in Research LIVES, University of Geneva, Geneva, Switzerland
| | - Laura Nawijn
- Department of Psychiatry, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Sandra Düzel
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
| | - Kathrine Skak Madsen
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Amager and Hvidovre, Copenhagen, Denmark,Radiography, Department of Technology, University College Copenhagen, Copenhagen, Denmark
| | - Anders M. Fjell
- Department of Psychology, Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway
| | - Ulman Lindenberger
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany,Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany
| | - Kristine B. Walhovd
- Department of Psychology, Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway
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19
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Ketchum FB, Chin NA, Grill J, Gleason CE, Erickson C, Clark LR, Paulsen JS, Kind AJ. Moving beyond disclosure: Stages of care in preclinical Alzheimer's disease biomarker testing. Alzheimers Dement 2022; 18:1969-1979. [PMID: 35213786 PMCID: PMC9402800 DOI: 10.1002/alz.12620] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Revised: 01/07/2022] [Accepted: 01/11/2022] [Indexed: 01/28/2023]
Abstract
Alzheimer's disease (AD) begins with an asymptomatic "preclinical" phase, in which abnormal biomarkers indicate risk for developing cognitive impairment. Biomarker information is increasingly being disclosed in research settings, and is moving toward clinical settings with the development of cheaper and non-invasive testing. Limited research has focused on the safety and psychological effects of disclosing biomarker results to cognitively unimpaired adults. However, less is known about how to ensure equitable access and robust counseling for decision-making before testing, and how to effectively provide long-term follow-up and risk management after testing. Using the framework of Huntington's disease, which is based on extensive experience with disclosing and managing risk for a progressive neurodegenerative condition, this article proposes a conceptual model of pre-disclosure, disclosure, and post-disclosure phases for AD biomarker testing. Addressing research questions in each phase will facilitate the transition of biomarker testing into clinical practice.
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Affiliation(s)
- Fred B. Ketchum
- Department of NeurologyUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
| | - Nathaniel A. Chin
- Division of GeriatricsDepartment of MedicineUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
- Wisconsin Alzheimer's Disease Research CenterMadisonWisconsinUSA
| | - Joshua Grill
- Institute for Memory Impairments and Neurological DisordersUniversity of California, IrvineIrvineCaliforniaUSA
- Departments of Psychiatry and Human Behavior and Neurobiology and BehaviorUniversity of California, IrvineIrvineCaliforniaUSA
| | - Carey E. Gleason
- Division of GeriatricsDepartment of MedicineUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
- Wisconsin Alzheimer's Disease Research CenterMadisonWisconsinUSA
- Geriatric ResearchEducation and Clinical Center (11G)William S. Middleton Memorial Veterans HospitalMadisonWisconsinUSA
| | - Claire Erickson
- Wisconsin Alzheimer's Disease Research CenterMadisonWisconsinUSA
- Neuroscience & Public Policy ProgramUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
| | - Lindsay R. Clark
- Division of GeriatricsDepartment of MedicineUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
| | - Jane S. Paulsen
- Department of NeurologyUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
| | - Amy J.H. Kind
- Division of GeriatricsDepartment of MedicineUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
- Wisconsin Alzheimer's Disease Research CenterMadisonWisconsinUSA
- Center for Health Disparities ResearchUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
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20
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Ma S, Huang H, Zhong Z, Zheng H, Li M, Yao L, Yu B, Wang H. Effect of acupuncture on brain regions modulation of mild cognitive impairment: A meta-analysis of functional magnetic resonance imaging studies. Front Aging Neurosci 2022; 14:914049. [PMID: 36212046 PMCID: PMC9540390 DOI: 10.3389/fnagi.2022.914049] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Accepted: 08/31/2022] [Indexed: 11/23/2022] Open
Abstract
Background As a non-pharmacological therapy, acupuncture has significant efficacy in treating Mild Cognitive Impairment (MCI) compared to pharmacological therapies. In recent years, advances in neuroimaging techniques have provided new perspectives to elucidate the central mechanisms of acupuncture for MCI. Many acupuncture brain imaging studies have found significant improvements in brain function after acupuncture treatment of MCI, but the underlying mechanisms of brain regions modulation are unclear. Objective A meta-analysis of functional magnetic resonance imaging studies of MCI patients treated with acupuncture was conducted to summarize the effects of acupuncture on the modulation of MCI brain regions from a neuroimaging perspective. Methods Using acupuncture, neuroimaging, magnetic resonance, and Mild Cognitive Impairment as search terms, PubMed, EMBASE, Web of Science, Cochrane Library, Cochrane Database of Systematic Reviews, Cochrane Database of Abstracts of Reviews of Effects (DARE), Google Scholar, China National Knowledge Infrastructure (CNKI), China Biology Medicine disk (CBM disk), Wanfang and Chinese Scientific Journal Database (VIP) for brain imaging studies on acupuncture on MCI published up to April 2022. Voxel-based neuroimaging meta-analysis of fMRI data was performed using voxel-based d Mapping with Permutation of Subject Images (SDM-PSI), allowing for Family-Wise Error Rate (FWER) correction correction for correction multiple comparisons of results. Subgroup analysis was used to compare the differences in brain regions between the acupuncture treatment group and other control groups. Meta-regression was used to explore demographic information and altered cognitive function effects on brain imaging outcomes. Linear models were drawn using MATLAB 2017a, and visual graphs for quality evaluation were produced using R software and RStudio software. Results A total of seven studies met the inclusion criteria, with 94 patients in the treatment group and 112 patients in the control group. All studies were analyzed using the regional homogeneity (ReHo) method. The experimental design of fMRI included six task state studies and one resting-state study. The meta-analysis showed that MCI patients had enhanced activity in the right insula, left anterior cingulate/paracingulate gyri, right thalamus, right middle frontal gyrus, right median cingulate/paracingulate gyri, and right middle temporal gyrus brain regions after acupuncture treatment. Further analysis of RCT and longitudinal studies showed that Reho values were significantly elevated in two brain regions, the left anterior cingulate/paracingulate gyrus and the right insula, after acupuncture. The MCI group showed stronger activity in the right supramarginal gyrus after acupuncture treatment compared to healthy controls. Meta-regression analysis showed that the right anterior thalamic projection ReHo index was significantly correlated with the MMSE score after acupuncture treatment in all MCI patients. Conclusions Acupuncture therapy has a modulating effect on the brain regions of MCI patients. However, due to the inadequate experimental design of neuroimaging studies, multi-center neuroimaging studies with large samples are needed better to understand the potential neuroimaging mechanisms of acupuncture for MCI. In addition, machine learning algorithm-based predictive models for evaluating the efficacy of acupuncture for MCI may become a focus of future research. Systematic review registration https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42022287826, identifier: CRD 42022287826.
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Affiliation(s)
- Shiqi Ma
- College of Acupuncture and Massage, Changchun University of Chinese Medicine, Changchun, China
| | - Haipeng Huang
- Northeast Asian Institute of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun, China
| | - Zhen Zhong
- College of Acupuncture and Massage, Changchun University of Chinese Medicine, Changchun, China
| | - Haizhu Zheng
- College of Acupuncture and Massage, Changchun University of Chinese Medicine, Changchun, China
| | - Mengyuan Li
- College of Acupuncture and Massage, Changchun University of Chinese Medicine, Changchun, China
| | - Lin Yao
- College of Acupuncture and Massage, Changchun University of Chinese Medicine, Changchun, China
| | - Bin Yu
- College of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun, China
| | - Hongfeng Wang
- Northeast Asian Institute of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun, China
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21
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Mozersky J, Hartz S, Linnenbringer E, Levin L, Streitz M, Stock K, Moulder K, Morris JC. Communicating 5-Year Risk of Alzheimer's Disease Dementia: Development and Evaluation of Materials that Incorporate Multiple Genetic and Biomarker Research Results. J Alzheimers Dis 2021; 79:559-572. [PMID: 33337371 DOI: 10.3233/jad-200993] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Cognitively normal (CN) older adults participating in Alzheimer's disease (AD) research increasingly ask for their research results-including genetic and neuroimaging findings-to understand their risk of developing AD dementia. AD research results are typically not returned for multiple reasons, including possible psychosocial harms of knowing one is at risk of a highly feared and untreatable disease. OBJECTIVE We developed materials that convey information about 5-year absolute risk of developing AD dementia based on research results. METHODS 20 CN older adults who received a research brain MRI result were interviewed regarding their wishes for research results to inform material development (Pilot 1). Following material development, 17 CN older adults evaluated the materials for clarity and acceptability (Pilot 2). All participants were community-dwelling older adults participating in longitudinal studies of aging at a single site. RESULTS Participants want information on their risk of developing AD dementia to better understand their own health, satisfy curiosity, inform family, and future planning. Some articulated concerns, but the majority wanted to know their risk despite the limitations of information. Participants found the educational materials and results report clear and acceptable, and the majority would want to know their research results after reviewing them. CONCLUSION These materials will be used in a clinical study examining the psychosocial and cognitive effects of offering research results to a cohort of CN older adults. Future AD research may incorporate the return of complex risk information to CN older adults, and materials are needed to communicate this information.
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Affiliation(s)
- Jessica Mozersky
- Bioethics Research Center, Division of General Medical Sciences, Washington University School of Medicine, St. Louis, MO, USA
| | - Sarah Hartz
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO
| | - Erin Linnenbringer
- Department of Surgery, Division of Public Health Sciences, Washington University School of Medicine, St. Louis, MO, USA
| | - Lillie Levin
- Bioethics Research Center, Division of General Medical Sciences, Washington University School of Medicine, St. Louis, MO, USA
| | - Marissa Streitz
- Department of Neurology, Washington University School of Medicine, St. Louis, MO; and Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Kristin Stock
- Washington University Danforth College of Arts and Sciences (post-baccalaureate program) and Music Speaks, LLC
| | - Krista Moulder
- Department of Neurology, Washington University School of Medicine, St. Louis, MO; and Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - John C Morris
- Department of Neurology, Washington University School of Medicine, St. Louis, MO; and Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
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22
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Cabrera LY, Kelly P, Vega IE. Knowledge and Attitudes of two Latino Groups about Alzheimer Disease: a Qualitative Study. J Cross Cult Gerontol 2021; 36:265-284. [PMID: 34196838 PMCID: PMC8421275 DOI: 10.1007/s10823-021-09432-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/05/2021] [Indexed: 11/29/2022]
Abstract
Clustering Latinos under a single group in Alzheimer Disease (AD) research, neglects, among other things cultural and environmental differences. To address this, we examine knowledge and attitudes about AD among two Latino groups. We held 5 focus groups and 2 interviews all in Spanish with Mexicans and Puerto Ricans between 40 and 60 years old living in the Grand Rapids area in Michigan. Using content analysis of the discussions, we identified themes related to knowledge, attitudes and concerns about AD and caregiving. A total of 20 Mexicans and 9 Puerto Ricans participated. Improving knowledge and awareness, barriers and home-based family care were important themes in both Latino groups. Puerto Rican groups raised more concerns about the disease, whereas lack of knowledge was a key theme among Mexican participants. The exploratory study is a first step in promoting research that is attentive to the commonalities and differences of Latino groups and in continuing efforts to enhance health literacy among these groups.
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Affiliation(s)
- Laura Y Cabrera
- Department of Engineering Science and Mechanics, Center for Neural Engineering, College of Engineering, Pennsylvania State University, W-316 Millennium Science Complex, University Park, PA, 16802, USA.
- Rock Ethics Institute and Huck Institute of Life Sciences, Pennsylvania State University, University Park, PA, USA.
| | - P Kelly
- College of Natural Science, Michigan State University, East Lansing, MI, USA
| | - I E Vega
- Department of Neurology, University of Michigan, Ann Arbor, MI, USA
- Department of Translational Neuroscience, College of Human Medicine, Michigan State University, Grand Rapids, MI, USA
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23
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Lee YS, Youn H, Jeong HG, Lee TJ, Han JW, Park JH, Kim KW. Cost-effectiveness of using amyloid positron emission tomography in individuals with mild cognitive impairment. COST EFFECTIVENESS AND RESOURCE ALLOCATION 2021; 19:50. [PMID: 34391439 PMCID: PMC8364075 DOI: 10.1186/s12962-021-00300-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2020] [Accepted: 07/23/2021] [Indexed: 12/02/2022] Open
Abstract
Background Amyloid positron emission tomography (PET) makes it possible to diagnose Alzheimer’s disease (AD) in its prodromal phase including mild cognitive impairment (MCI). This study evaluated the cost-effectiveness of including amyloid-PET for assessing individuals with MCI. Methods The target population was 60-year-old patients who were diagnosed with MCI. We constructed a Markov model for the natural history of AD with the amyloid positivity (AP). Because amyloid-PET can detect the AP MCI state, AD detection can be made faster by reducing the follow-up interval for a high-risk group. The health outcomes were evaluated in quality-adjusted life years (QALYs) and the final results of cost-effectiveness analysis were presented in the form of the Incremental Cost-Effectiveness Ratio (ICER). To handle parameter uncertainties, one-way sensitivity analyses for various variables were performed. Results Our model showed that amyloid-PET increased QALYs by 0.003 in individuals with MCI. The estimated additional costs for adopting amyloid-PET amounted to a total of 1250 USD per patient when compared with the cost when amyloid-PET is not adopted. The ICER was 3,71,545 USD per QALY. According to the sensitivity analyses, treatment effect of Donepezil and virtual intervention effect in MCI state were the most influential factors. Conclusions In our model, using amyloid-PET at the MCI stage was not cost-effective. Future advances in management of cognitive impairment would enhance QALYs, and consequently improve cost-effectiveness.
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Affiliation(s)
- Young-Sil Lee
- Department of Public Health Science, Graduate School of Public Health, Seoul National University, 1, Gwanak-ro, Gwanak-gu, Seoul, 08826, Republic of Korea
| | - HyunChul Youn
- Department of Psychiatry, Soonchunhyang University Bucheon Hospital, 170 Jomaru-ro, Wonmi-gu, Bucheon, 14584, Republic of Korea
| | - Hyun-Ghang Jeong
- Department of Psychiatry, Korea University Guro Hospital, Korea University College of Medicine, 148, Gurodong-Ro, Guro-gu, Seoul, 08308, Republic of Korea. .,Korea University Research Institute of Mental Health, 148, Gurodong-Ro, Guro-gu, Seoul, 08308, Republic of Korea.
| | - Tae-Jin Lee
- Department of Public Health Science, Graduate School of Public Health, Seoul National University, 1, Gwanak-ro, Gwanak-gu, Seoul, 08826, Republic of Korea. .,Institute of Health and Environment, Seoul National University, 1, Gwanak-ro, Gwanak-gu, Seoul, 08826, Republic of Korea.
| | - Ji Won Han
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, 82 Gumi-ro 173beon-gil, Bundang-gu, Seongnam, 13620, Republic of Korea
| | - Joon Hyuk Park
- Department of Psychiatry, Jeju National University School of Medicine, Jeju National University Hospital, Aran 13 gil, Jeju-si, Jeju, 63241, Republic of Korea
| | - Ki Woong Kim
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, 82 Gumi-ro 173beon-gil, Bundang-gu, Seongnam, 13620, Republic of Korea.,Department of Psychiatry, Seoul National University College of Medicine, 101, Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.,Department of Brain and Cognitive Science, Seoul National University College of Natural Sciences, 1, Gwanak-ro, Gwanak-gu, Seoul, 08826, Republic of Korea
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24
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Friedman BB, Suri S, Solé-Padullés C, Düzel S, Drevon CA, Baaré WFC, Bartrés-Faz D, Fjell AM, Johansen-Berg H, Madsen KS, Nyberg L, Penninx BWJH, Sexton C, Walhovd KB, Zsoldos E, Budin-Ljøsne I. Are People Ready for Personalized Brain Health? Perspectives of Research Participants in the Lifebrain Consortium. THE GERONTOLOGIST 2021; 60:1050-1059. [PMID: 31682729 PMCID: PMC7427479 DOI: 10.1093/geront/gnz155] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2019] [Indexed: 12/02/2022] Open
Abstract
Background and Objectives A healthy brain is central to physical and mental well-being. In this multi-site, qualitative study, we investigated views and attitudes of adult participants in brain research studies on the brain and personalized brain health as well as interest in maintaining a healthy brain. Design and Methods We conducted individual interviews with 44 adult participants in brain research cohorts of the Lifebrain consortium in Spain, Norway, Germany, and the United Kingdom. The interviews were audio recorded, transcribed, and coded using a cross-country codebook. The interview data were analyzed using qualitative content analysis. Results Most participants did not focus on their own brain health and expressed uncertainty regarding how to maintain it. Those actively focusing on brain health often picked one specific strategy like diet or memory training. The participants were interested in taking brain health tests to learn about their individual risk of developing brain diseases, and were willing to take measures to maintain their brain health if personalized follow-up was provided and the measures had proven impact. The participants were interested in more information on brain health. No differences in responses were identified between age groups, sex, or countries. Discussion and Implications Concise, practical, personalized, and evidence-based information about the brain may promote brain health. Based on our findings, we have launched an ongoing global brain health survey to acquire more extensive, quantitative, and representative data on public perception of personalized brain health.
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Affiliation(s)
- Barbara Bodorkos Friedman
- Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Norway
| | - Sana Suri
- Department of Psychiatry and Oxford Centre for Human Brain Activity, Wellcome Centre for Integrative Neuroimaging, University of Oxford, UK
| | - Cristina Solé-Padullés
- Department of Medicine, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona, Spain
| | - Sandra Düzel
- Max Planck Institute for Human Development, Berlin, Germany
| | - Christian A Drevon
- Vitas AS, Oslo, Norway.,Department of Nutrition, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, Norway
| | - William F C Baaré
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre,Denmark
| | - David Bartrés-Faz
- Department of Medicine, Faculty of Medicine and Health Sciences and Neuroscience Institute, University of Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Spain
| | - Anders M Fjell
- Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Norway
| | | | - Kathrine S Madsen
- Department of Nutrition, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, Norway
| | - Lars Nyberg
- Centre for Functional Brain Imaging, Umeå Universitet, Sweden
| | | | - Claire Sexton
- Department of Psychiatry and Oxford Centre for Human Brain Activity, Wellcome Centre for Integrative Neuroimaging, University of Oxford, UK.,Global Brain Health Institute, Memory and Aging Center, University of California, San Francisco, Oslo, Norway
| | - Kristine B Walhovd
- Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Norway
| | - Enikő Zsoldos
- Department of Psychiatry and Oxford Centre for Human Brain Activity, Wellcome Centre for Integrative Neuroimaging, University of Oxford, UK
| | - Isabelle Budin-Ljøsne
- Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Norway.,Department of Genetics and Bioinformatics, Norwegian Institute of Public Health, Oslo, Norway
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25
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Nielsen KD, Boenink M. Ambivalent anticipation: How people with Alzheimer's disease value diagnosis in current and envisioned future practices. SOCIOLOGY OF HEALTH & ILLNESS 2021; 43:510-527. [PMID: 33635548 PMCID: PMC8248062 DOI: 10.1111/1467-9566.13238] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/16/2020] [Revised: 11/24/2020] [Accepted: 12/10/2020] [Indexed: 06/12/2023]
Abstract
Emergent biomarkers for Alzheimer's disease (AD) are expected to provide earlier and more precise diagnoses. However, even if biomarkers live up to these expectations, it cannot be taken for granted that patients actually would value an earlier and more precise AD diagnosis. Based on an interview study, we aim to give more insight into the value of an AD diagnosis for patients, in existing as well as future practices, by describing how a diagnosis enables or may enable knowing, foreseeing, and acting in relation to one's illness. Our findings show that how people with AD value a diagnosis is not only characterised by great variety, as previous studies have shown, but also by profound ambivalence for the individual. With lack of treatment and poor prognostics as the status quo, this ambivalence and the way people deal with it are particularly linked to the far-from-straightforward capacity of an AD diagnosis to support anticipation of the future. We argue that in otherwise unchanged practices the envisioned future biomarker-based diagnostics are unlikely to reduce the ambivalence about receiving an AD diagnosis and, in particular, the challenges of anticipation that it entails. Rather, biomarker-based innovations may even reinforce some of the main issues involved.
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Affiliation(s)
- Karen Dam Nielsen
- Section Medical EthicsIQ Healthcare, Radboud UMCNijmegenThe Netherlands
| | - Marianne Boenink
- Section Medical EthicsIQ Healthcare, Radboud UMCNijmegenThe Netherlands
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26
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Rosenberg A, Coley N, Soulier A, Kulmala J, Soininen H, Andrieu S, Kivipelto M, Barbera M. Experiences of dementia and attitude towards prevention: a qualitative study among older adults participating in a prevention trial. BMC Geriatr 2020; 20:99. [PMID: 32164544 PMCID: PMC7068959 DOI: 10.1186/s12877-020-1493-4] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2019] [Accepted: 02/26/2020] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND A better insight into older adults' understanding of and attitude towards cognitive disorders and their prevention, as well as expectations and reasons for participation in prevention trials, would help design, conduct, and implement effective preventive interventions. This qualitative study aimed at exploring the knowledge and perceptions of cognitive disorders and their prevention among participants in a prevention trial. METHODS Semi-structured interviews were conducted among the participants of a multinational randomised controlled trial testing the efficacy of a lifestyle-based eHealth intervention in preventing cardiovascular disease or cognitive decline in community dwellers aged 65+. Participants were probed on their reasons for participation in the trial and their views on general health, cardiovascular disease, ageing, and prevention. The subset of data focusing on cognitive disorders (15 interviewees; all in Finland) was considered for this study. Data were analysed using content analysis. RESULTS Participants' knowledge of the cause and risk factors of cognitive disorders and prevention was limited and superficial, and a need for up-to-date, reliable, and practical information and advice was expressed. Cognitive disorders evoked fear and concern, and feelings of hopelessness and misery were frequently expressed, indicating a stigma. Strong heredity of cognitive disorders was a commonly held belief, and opinions on the possibility of prevention were doubtful, particularly in relation to primary prevention. Family history and/or indirect experiences of cognitive disorders was a recurrent theme and it showed to be linked to both the knowledge of and feelings associated with cognitive disorders, as well as attitude towards prevention. Indirect experiences were linked to increased awareness and knowledge, but also uncertainty about risk factors and possibility of prevention. Distinct fear and concerns, particularly over one's own cognition/risk, and high motivation towards engaging in prevention and participating in a prevention trial were also identified in connection to this theme. CONCLUSIONS Family history and/or indirect experiences of cognitive disorders were linked to sensitivity and receptiveness to brain health and prevention potential. Our findings may be helpful in addressing older adults' expectations in future prevention trials to improve recruitment, maximise adherence, and facilitate the successful implementation of interventions.
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Affiliation(s)
- Anna Rosenberg
- Department of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland.
| | - Nicola Coley
- LEASP, UMR 1027, INSERM/Université Toulouse III Paul Sabatier, University of Toulouse, Toulouse, France
- Department of Epidemiology and Public Health, Toulouse University Hospital, Toulouse, France
| | - Alexandra Soulier
- LEASP, UMR 1027, INSERM/Université Toulouse III Paul Sabatier, University of Toulouse, Toulouse, France
| | - Jenni Kulmala
- Public Health Promotion Unit, Finnish Institute for Health and Welfare, Helsinki, Finland
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
- School of Health Care and Social Work, Seinäjoki University of Applied Sciences, Seinäjoki, Finland
| | - Hilkka Soininen
- Department of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
- Neurocenter Finland, Neurology, Kuopio University Hospital, Kuopio, Finland
| | - Sandrine Andrieu
- LEASP, UMR 1027, INSERM/Université Toulouse III Paul Sabatier, University of Toulouse, Toulouse, France
- Department of Epidemiology and Public Health, Toulouse University Hospital, Toulouse, France
| | - Miia Kivipelto
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
- Stockholms Sjukhem, Research & Development Unit, Stockholm, Sweden
| | - Mariagnese Barbera
- Department of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
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27
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Rasmussen J, Langerman H. Alzheimer's Disease - Why We Need Early Diagnosis. Degener Neurol Neuromuscul Dis 2019; 9:123-130. [PMID: 31920420 PMCID: PMC6935598 DOI: 10.2147/dnnd.s228939] [Citation(s) in RCA: 160] [Impact Index Per Article: 26.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2019] [Accepted: 11/16/2019] [Indexed: 12/27/2022] Open
Abstract
Alzheimer's disease is the leading cause of dementia. However, neither Alzheimer's disease nor Alzheimer's dementia are an inevitable consequence of aging. This review provides an overview of the issues involved in a diagnosis of Alzheimer's disease before an individual meets the criteria for Alzheimer's dementia. It examines how Alzheimer's disease diagnosis rates can be improved, the implications of an early diagnosis for the individual, carer and society, and the importance of risk reduction to prevent or delay progression. Although no disease-modifying agents capable of reversing the initial pathological changes are currently available, it may be possible to prevent or delay the development of dementia in a proportion of the population by modifying exposure to common risk factors. In other individuals, diagnosing the disease or risk of disease early is still valuable so that the individual and their carers have time to make choices and plan for the future, and to allow access to treatments that can help manage symptoms. Primary healthcare professionals play a pivotal role in recognising individuals at risk, recommending lifestyle changes in mid-adult life that can prevent or slow down the disease, and in timely diagnosis. Early intervention is the optimal strategy, because the patient's level of function is preserved for longer.
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Manrique de Lara A, Soto-Gómez L, Núñez-Acosta E, Saruwatari-Zavala G, Rentería ME. Ethical issues in susceptibility genetic testing for late-onset neurodegenerative diseases. Am J Med Genet B Neuropsychiatr Genet 2019; 180:609-621. [PMID: 30525300 DOI: 10.1002/ajmg.b.32699] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2018] [Revised: 10/16/2018] [Accepted: 10/30/2018] [Indexed: 12/12/2022]
Abstract
Genome-wide association studies have revolutionized our understanding of the genetic architecture of complex traits and diseases over the last decade. This knowledge is enabling clinicians, researchers, and direct-to-consumer genetics companies to conduct disease susceptibility testing based on powerful methods such as polygenic risk scoring. However, these technologies raise a set of complex ethical, legal, social, and policy considerations. Here we review and discuss a series of ethical dilemmas associated with susceptibility genetic testing for the two most common late-onset neurodegenerative diseases, Alzheimer's and Parkinson's disease, including testing in asymptomatic individuals. Among others, these include informed consent, disclosure of results and unexpected findings, mandatory screening, privacy and confidentiality, and stigma and genetic discrimination. Importantly, appropriate counseling is a deciding factor for the ethical soundness of genetic testing, which poses a challenge for the regulation of these tests and the training of healthcare professionals. As genetic knowledge about these diseases continues growing and genetic testing becomes more widespread, it is increasingly important to raise awareness among researchers, medical practitioners, genetic counselors, and decision makers about the ethical, legal, and social issues associated with genetic testing for polygenic diseases.
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Affiliation(s)
- Amaranta Manrique de Lara
- Licenciatura en Ciencias Genómicas, Instituto de Biotecnología y Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, Cuernavaca, Morelos, Mexico
| | - Liliana Soto-Gómez
- Instituto de Investigaciones Jurídicas, Universidad Nacional Autónoma de México, Coyoacán, Ciudad de México, Mexico
| | - Elisa Núñez-Acosta
- Oficina de Información Científica y Tecnológica para el Congreso de la Unión (INCyTU), Foro Consultivo Científico y Tecnológico, A.C., Coyoacán, Ciudad de México, Mexico
| | - Garbiñe Saruwatari-Zavala
- Departamento de Estudios Jurídicos, Éticos y Sociales, Instituto Nacional de Medicina Genómica, Tlalpan, Ciudad de México, Mexico
| | - Miguel E Rentería
- Department of Genetics & Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
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Richardson C, Stephan BCM, Robinson L, Brayne C, Matthews FE. Two-decade change in prevalence of cognitive impairment in the UK. Eur J Epidemiol 2019; 34:1085-1092. [PMID: 31489532 PMCID: PMC6861197 DOI: 10.1007/s10654-019-00554-x] [Citation(s) in RCA: 31] [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: 12/17/2018] [Accepted: 08/21/2019] [Indexed: 02/02/2023]
Abstract
Identification of individuals at high risk of dementia has usually focused attention on the clinical concept of mild cognitive impairment (MCI), which captures an intermediate state between normal cognitive ageing and dementia. In many countries age specific risk of dementia has declined, but whether this is also the case for subclinical cognitive impairment is unknown. This has important implications for prevention, planning and policy. Here we describe subclinical cognitive impairment and mild dementia prevalence changes, in the UK, over 2 decades. The Cognitive Function and Ageing Studies have examined the full spectrum of cognition, from normal to dementia, in representative populations of people aged ≥ 65 years in the UK over the last 2 decades 7635 participants were interviewed in CFAS I in Cambridgeshire, Newcastle, and Nottingham in 1991, with 1457 being diagnostically assessed. In the same geographical areas, the CFAS II investigators interviewed 7796 individuals in 2011. Using established criteria, the population was categorised into seven groups: no cognitive impairment, Mild cognitive Impairment (defined using consensus criteria), other cognitive impairment no dementia without functional impairment, OCIND with functional impairment, cognitive impairment (MMSE < 24 and no functional impairment), mild dementia (MMSE < 24 with functional impairment, not captured by CFAS dementia criteria), and CFAS dementia criteria. Multinomial logistic regression, adjusted for age and sex, was used to estimate the prevalence of impairment in both studies. Results were standardized to the age-sex specific UK and global population. There is a clear increase in the prevalence of other cognitive Impairment no Dementia (without functional impairment), with the purer MCI remaining stable. In the UK, mild dementia is estimated to fall from 520,704 cases (5.7%, 95% CI 3.8, 8.1) in 1991 to 315,142 (3.0%, 95% CI 2.4, 3.8) in 2011, cognitive impairment, has fallen from 1,225,984 (13.5%, 95% CI 10.1, 17.5) to 654,436 (6.3%, 95% CI 5.4, 7.3) cases. Using additional categories which reflect the continuum of cognitive decline and impairment in populations we see that the mildest dementia declines, but that there is stability in estimates of those who meet MCI criteria. Increases were found in the Other Cognitive Impairment no Dementia group. The decline observed in severe impairment thus seems to have resulted in larger proportions of the population in milder forms, seen alongside physical illnesses.
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Affiliation(s)
- Connor Richardson
- Newcastle University Institute for Ageing and Institute for Health and Society, Newcastle University, Newcastle Biomedical Research Building, Newcastle upon Tyne, NE4 5PL, UK
| | - Blossom C M Stephan
- Division of Psychiatry and Applied Psychology, Institute of Mental Health, School of Medicine, University of Nottingham, Innovation Park, Nottingham, NG7 2TU, UK
| | - Louise Robinson
- Newcastle University Institute for Ageing and Institute for Health and Society, Newcastle University, Newcastle Biomedical Research Building, Newcastle upon Tyne, NE4 5PL, UK
| | - Carol Brayne
- Cambridge Institute of Public Health, University of Cambridge School of Clinical Medicine, Forvie Site, Cambridge Biomedical Campus, Cambridge, CB2 0SR, UK
| | - Fiona E Matthews
- Newcastle University Institute for Ageing and Institute for Health and Society, Newcastle University, Newcastle Biomedical Research Building, Newcastle upon Tyne, NE4 5PL, UK.
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Schweda M, Kögel A, Bartels C, Wiltfang J, Schneider A, Schicktanz S. Prediction and Early Detection of Alzheimer's Dementia: Professional Disclosure Practices and Ethical Attitudes. J Alzheimers Dis 2019; 62:145-155. [PMID: 29439325 DOI: 10.3233/jad-170443] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Biomarker-supported testing for preclinical and prodromal Alzheimer's disease (AD) finds its way into clinical practice. Professional attitudes and practices regarding disclosure and ethical issues are controversial in many countries. OBJECTIVES Against this background, the objective was to survey the actual practice and the attitudes of physicians in German hospitals and memory clinics in order to explore possible practical insecurities and ethical concerns. METHODS A detailed survey with 37 items was conducted among medical professionals at German hospitals and memory clinics (n = 108). Analyses were performed using SPSS 21.0 (IBM). Findings were based on frequency and percentage distribution. RESULTS Nearly half of the respondents stated that persons with mild cognitive impairment and pathological cerebrospinal fluid biomarkers were informed they had or would soon develop AD. While 81% acknowledged a 'right not to know', 75% said that results were always communicated. A majority agreed there was a benefit of prediction or later life planning [end-of-life, financial, family, housing (73-75%)] but also expected high psychological stress (82%) and self-stigmatization (70%) for those tested. CONCLUSIONS There is considerable heterogeneity and insecurity regarding prediction and early detection in the context of AD in Germany. Information of professionals and standardization of professional testing and disclosure practices are needed.
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Affiliation(s)
- Mark Schweda
- Department for Medical Ethics and History of Medicine, University Medical Center Göttingen, Göttingen, Germany
| | - Anna Kögel
- Department for Medical Ethics and History of Medicine, University Medical Center Göttingen, Göttingen, Germany
| | - Claudia Bartels
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany
| | - Jens Wiltfang
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany.,German Center for Neurodegenerative Diseases (DZNE), Göttingen, Germany.,Department of Medical Sciences, iBiMED, University of Aveiro, Aveiro, Portugal
| | - Anja Schneider
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Department for Neurodegenerative Diseases and Gerontopsychiatry, University Hospital Bonn, Bonn, Germany
| | - Silke Schicktanz
- Department for Medical Ethics and History of Medicine, University Medical Center Göttingen, Göttingen, Germany
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31
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Marshe VS, Gorbovskaya I, Kanji S, Kish M, Müller DJ. Clinical implications of APOE genotyping for late-onset Alzheimer's disease (LOAD) risk estimation: a review of the literature. J Neural Transm (Vienna) 2018; 126:65-85. [PMID: 30382407 DOI: 10.1007/s00702-018-1934-9] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2018] [Accepted: 09/24/2018] [Indexed: 11/29/2022]
Abstract
Alzheimer's disease is a genetically complex neurodegenerative disorder representing the leading cause of dementia. Advances in personal genomics are increasing the public uptake of genetic susceptibility testing for complex diseases such as late-onset Alzheimer's disease (LOAD). For LOAD, the discovery of the major risk ε4 allele of the APOE gene has prompted a debate on the ethics and utility of presymptomatic (i.e., predictive) testing. Although the mechanistic contribution of APOE to disease onset remains uncertain, presymptomatic genetic testing provides a relative risk of developing LOAD. Presymptomatic testing for complex disorders, such as LOAD is much less conclusive than early-onset Alzheimer's disease (EOAD) which follows a Mendelian inheritance pattern. Given the lack of preventive strategies available for EOAD or LOAD, APOE genotyping offers limited clinical utility, thus, raising ethical and practical questions. We conducted a systematic search of five electronic databases or primary studies published during January 2008-January 2018 which investigated practical and ethical issues of presymptomatic APOE genotyping for LOAD risk estimation. We identified 31 articles which suggested that APOE genotyping for LOAD susceptibility provides potential benefits to at-risk patients and can guide changes in positive health-related behaviors. However, other individuals may experience test-related anxiety, depression and psychological distress. Future research should focus on developing an integrated risk assessment tool to enhance the utility of APOE genotyping. Furthermore, empirical research is required to understand actual psychological and social implications associated with testing.
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Affiliation(s)
- Victoria S Marshe
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada.,Pharmacogenetics Research Clinic, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, 250 College Street, Toronto, ON, M5T1R8, Canada
| | - Ilona Gorbovskaya
- Pharmacogenetics Research Clinic, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, 250 College Street, Toronto, ON, M5T1R8, Canada
| | - Sarah Kanji
- Pharmacogenetics Research Clinic, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, 250 College Street, Toronto, ON, M5T1R8, Canada.,Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Maxine Kish
- Pharmacogenetics Research Clinic, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, 250 College Street, Toronto, ON, M5T1R8, Canada.,Faculty of Medicine, Queen's University, Kingston, ON, Canada
| | - Daniel J Müller
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada. .,Pharmacogenetics Research Clinic, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, 250 College Street, Toronto, ON, M5T1R8, Canada. .,Department of Psychiatry, University of Toronto, Toronto, ON, Canada.
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32
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Milne R, Diaz A, Badger S, Bunnik E, Fauria K, Wells K. At, with and beyond risk: expectations of living with the possibility of future dementia. SOCIOLOGY OF HEALTH & ILLNESS 2018; 40:969-987. [PMID: 29659032 DOI: 10.1111/1467-9566.12731] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/02/2023]
Abstract
Biomedical research aimed at the development of therapies for chronic and late-onset conditions increasingly concentrates on the early treatment of symptom-less disease. This broad trend is evidenced in prominent shifts in contemporary dementia research. Revised diagnostic criteria and new approaches to clinical trials propose a focus on earlier stages of disease and prompt concerns about the implications of communicating test results associated with the risk of developing dementia when no effective treatments are available. This article examines expectations of the implications of learning test results related to dementia risk, based on focus group research conducted in the UK and Spain. It points to the extended social and temporal aspects of the dementia risk experience. Three key dimensions of this risk experience are elaborated: living 'at risk', represented in efforts to reduce risk and plan for the future; 'with risk', through vigilance towards cognitive health and earlier or prolonged contact with healthcare services; and finally, 'beyond risk' through a cessation of the self in its current social, legal and financial form. A virtual abstract of this paper can be viewed at: https://www.youtube.com/channel/UC_979cmCmR9rLrKuD7z0ycA.
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Affiliation(s)
- Richard Milne
- Institute of Public Health, University of Cambridge, UK
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Chapman BP, Benedict RHB, Lin F, Roy S, Porteinsson A, Szigeti K, Federoff H, Mapstone M. Apolipoprotein E genotype impact on memory and attention in older persons: the moderating role of personality phenotype. Int J Geriatr Psychiatry 2018; 33:332-339. [PMID: 28612377 DOI: 10.1002/gps.4748] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/03/2017] [Accepted: 05/10/2017] [Indexed: 12/20/2022]
Abstract
OBJECTIVES To determine if phenotypic personality traits modify the association of Apolipoprotein E (APOE) genotypes with different domains of cognitive function. DESIGN Cross-sectional. METHODS 172 non-demented older adults were administered the NEO-Five Factor Inventory (NEO-FFI), a battery of neuropsychological tests assessing memory, attention, executive function, language, and visuospatial ability, and underwent APOE genotyping. Multivariate (multiple-dependent variable) regression models predicting cognitive domains tested APOE interactions with personality traits, adjusting for age, sex, and education. RESULTS The APOE ε4 allele showed small to modest main effects on memory and executive function (1/3 SD deficits for carriers, p < .05), with ε2 status evidencing minimal and non-significant benefit. Neuroticism interacted with both ε2 and ε4 alleles in associations with attention scores (p = .001), with ε2 benefits and ε4 deficits being marked at high Neuroticism (Mean [M] covariate-adjusted Z-score = .39 for ε2, -.47 for ε4). The association of ε4 with memory was moderated by Conscientiousness (p < .001), such that ε4 memory deficits were apparent at low Conscientiousness (M = -.56), but absent at high levels of Conscientiousness. Weaker patterns (p < .05) also suggested ε4-related detriments in executive function only at lower Conscientiousness, and ε2 memory benefits only at higher Openness. CONCLUSIONS Conscientiousness and Neuroticism moderate APOE associations with memory and executive function. As such, they may be useful phenotypic markers in refining the prognostic significance of this polymorphism. Effect-modifying personality traits also provide clues about behavioral and psychological factors that influence the cognitive impact of APOE. Copyright © 2017 John Wiley & Sons, Ltd.
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Affiliation(s)
- Benjamin P Chapman
- Department of Psychiatry, University of Rochester School of Medicine and Dentistry
| | - Ralph H B Benedict
- Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York, USA
| | - Feng Lin
- School of Nursing and Departments of Psychiatry and Brain and Cognitive Sciences, University of Rochester Medical Center
| | - Shumita Roy
- Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York, USA
| | - Antoine Porteinsson
- Department of Psychiatry, University of Rochester School of Medicine and Dentistry.,Department of Neurology, University of Rochester School of Medicine and Dentistry
| | - Kinga Szigeti
- Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York, USA
| | - Howard Federoff
- Department of Neurology, University of Rochester School of Medicine and Dentistry
| | - Mark Mapstone
- Irvine School of Medicine, Department of Neurology, University of California
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34
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Milne R, Bunnik E, Diaz A, Richard E, Badger S, Gove D, Georges J, Fauria K, Molinuevo JL, Wells K, Ritchie C, Brayne C. Perspectives on Communicating Biomarker-Based Assessments of Alzheimer's Disease to Cognitively Healthy Individuals. J Alzheimers Dis 2018; 62:487-498. [PMID: 29480179 PMCID: PMC5836405 DOI: 10.3233/jad-170813] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/07/2017] [Indexed: 12/20/2022]
Abstract
In clinical trials which target pathophysiological mechanisms associated with Alzheimer's disease, research participants who are recruited based on biomarker test results should be informed about their increased risk of developing Alzheimer's dementia. This paper presents the results of a qualitative focus group study of attitudes and concerns toward learning information about biomarker-based risk status among healthy research participants in the United Kingdom and Spain and people with dementia and their supporters/caregivers from countries represented in the European Working Group of People with Dementia of Alzheimer Europe. The study identified expectations related to learning risk status and preferences related to the content, quality, and follow-up of the disclosure process. The latter emphasize distinctions between risk and diagnoses, the importance of clear information about risk, and suggestions for risk reduction, as well as expectations for follow up and support. The implications of these preferences for practice are discussed. Providing details of research participants' experience and views may serve as a guide for the development of processes for the responsible disclosure of Alzheimer's disease biomarkers.
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Affiliation(s)
- Richard Milne
- Department of Public Health and Primary Care, Institute of Public Health, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Eline Bunnik
- Department of Medical Ethics and Philosophy of Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | | | - Edo Richard
- Department of Neurology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Shirlene Badger
- Department of Public Health and Primary Care, Institute of Public Health, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | | | | | - Karine Fauria
- BarcelonaBeta Brain Research Centre, Fundació Pasqual Maragall, Barcelona, Spain
| | - Jose-Luis Molinuevo
- BarcelonaBeta Brain Research Centre, Fundació Pasqual Maragall, Barcelona, Spain
| | - Katie Wells
- Centre of Mental Health, Imperial College London, London, UK
| | - Craig Ritchie
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Carol Brayne
- Department of Public Health and Primary Care, Institute of Public Health, University of Cambridge School of Clinical Medicine, Cambridge, UK
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Barthel H, Sabri O. Clinical Use and Utility of Amyloid Imaging. J Nucl Med 2017; 58:1711-1717. [PMID: 28818990 DOI: 10.2967/jnumed.116.185017] [Citation(s) in RCA: 69] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2017] [Accepted: 08/10/2017] [Indexed: 11/16/2022] Open
Abstract
Currently, 3 amyloid PET tracers are approved and commercially available for clinical use. They allow for the accurate in vivo detection of amyloid plaques, one hallmark of Alzheimer disease. Here, we review the current knowledge on the clinical use and utility of amyloid imaging. Appropriate use criteria for the clinical application of amyloid imaging are established, and most currently available data point to their validity. Visual amyloid image analysis is highly standardized. Disclosure of amyloid imaging results is desired by many cognitively impaired subjects and seems to be safe once appropriate education is delivered to the disclosing clinicians. Regarding clinical utility, increasing evidence points to a change in diagnosis via amyloid imaging in about 30% of cases, to an increase in diagnostic confidence in about 60% of cases, to a change in patient management in about 60% of cases, and specifically to a change in medication in about 40% of cases. Also, amyloid imaging results seem to have a relevant impact on caregivers. Further, initial simulation studies point to a potential positive effect on patient outcome and to cost effectiveness of amyloid imaging. These features, however, will require confirmation in prospective clinical trials. More work is also required to determine the clinical utility of amyloid imaging specifically in subjects with mild cognitive impairment and in comparison with or in conjunction with other Alzheimer disease biomarkers. In summary, the clinical use of amyloid imaging is being studied, and the currently available data point to a relevant clinical utility of this imaging technique. Ongoing research will determine whether this accurate and noninvasive approach to amyloid plaque load detection will translate into a benefit to cognitively impaired subjects.
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Affiliation(s)
- Henryk Barthel
- Department of Nuclear Medicine, University of Leipzig, Leipzig, Germany
| | - Osama Sabri
- Department of Nuclear Medicine, University of Leipzig, Leipzig, Germany
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Sheffrin M, Stijacic Cenzer I, Steinman MA. Desire for predictive testing for Alzheimer's disease and impact on advance care planning: a cross-sectional study. ALZHEIMERS RESEARCH & THERAPY 2016; 8:55. [PMID: 27955707 PMCID: PMC5153917 DOI: 10.1186/s13195-016-0223-9] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 08/09/2016] [Accepted: 11/15/2016] [Indexed: 01/26/2023]
Abstract
Background It is unknown whether older adults in the United States would be willing to take a test predictive of future Alzheimer’s disease, or whether testing would change behavior. Using a nationally representative sample, we explored who would take a free and definitive test predictive of Alzheimer’s disease, and examined how using such a test may impact advance care planning. Methods A cross-sectional study within the 2012 Health and Retirement Study of adults aged 65 years or older asked questions about a test predictive of Alzheimer’s disease (N = 874). Subjects were asked whether they would want to take a hypothetical free and definitive test predictive of future Alzheimer’s disease. Then, imagining they knew they would develop Alzheimer’s disease, subjects rated the chance of completing advance care planning activities from 0 to 100. We classified a score > 50 as being likely to complete that activity. We evaluated characteristics associated with willingness to take a test for Alzheimer’s disease, and how such a test would impact completing an advance directive and discussing health plans with loved ones. Results Overall, 75% (N = 648) of the sample would take a free and definitive test predictive of Alzheimer’s disease. Older adults willing to take the test had similar race and educational levels to those who would not, but were more likely to be ≤75 years old (odds ratio 0.71 (95% CI 0.53–0.94)). Imagining they knew they would develop Alzheimer’s, 81% would be likely to complete an advance directive, although only 15% had done so already. Conclusions In this nationally representative sample, 75% of older adults would take a free and definitive test predictive of Alzheimer’s disease. Many participants expressed intent to increase activities of advance care planning with this knowledge. This confirms high public interest in predictive testing for Alzheimer’s disease and suggests this may be an opportunity to engage patients in advance care planning discussions.
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Affiliation(s)
- Meera Sheffrin
- Section of Geriatric Medicine, Division of General Internal Medicine Disciplines, Stanford University School of Medicine, Stanford, CA, USA.
| | - Irena Stijacic Cenzer
- Division of Geriatrics, University of California at San Francisco, San Francisco, CA, USA.,The San Francisco VA Medical Center, 4150 Clement St, Box 181-G, San Francisco, CA, 94121, USA
| | - Michael A Steinman
- Division of Geriatrics, University of California at San Francisco, San Francisco, CA, USA.,The San Francisco VA Medical Center, 4150 Clement St, Box 181-G, San Francisco, CA, 94121, USA
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37
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Bemelmans SASA, Tromp K, Bunnik EM, Milne RJ, Badger S, Brayne C, Schermer MH, Richard E. Psychological, behavioral and social effects of disclosing Alzheimer's disease biomarkers to research participants: a systematic review. ALZHEIMERS RESEARCH & THERAPY 2016; 8:46. [PMID: 27832826 PMCID: PMC5103503 DOI: 10.1186/s13195-016-0212-z] [Citation(s) in RCA: 41] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/29/2016] [Accepted: 10/04/2016] [Indexed: 12/21/2022]
Abstract
BACKGROUND Current Alzheimer's disease (AD) research initiatives focus on cognitively healthy individuals with biomarkers that are associated with the development of AD. It is unclear whether biomarker results should be returned to research participants and what the psychological, behavioral and social effects of disclosure are. This systematic review therefore examines the psychological, behavioral and social effects of disclosing genetic and nongenetic AD-related biomarkers to cognitively healthy research participants. METHODS We performed a systematic literature search in eight scientific databases. Three independent reviewers screened the identified records and selected relevant articles. Results extracted from the included articles were aggregated and presented per effect group. RESULTS Fourteen studies met the inclusion criteria and were included in the data synthesis. None of the identified studies examined the effects of disclosing nongenetic biomarkers. All studies but one concerned the disclosure of APOE genotype and were conducted in the USA. Study populations consisted largely of cognitively healthy first-degree relatives of AD patients. In this group, disclosure of an increased risk was not associated with anxiety, depression or changes in perceived risk in relation to family history. Disclosure of an increased risk did lead to an increase in specific test-related distress levels, health-related behavior changes and long-term care insurance uptake and possibly diminished memory functioning. CONCLUSION In cognitively healthy research participants with a first-degree relative with AD, disclosure of APOE ε4-positivity does not lead to elevated anxiety and depression levels, but does increase test-related distress and results in behavior changes concerning insurance and health. We did not find studies reporting the effects of disclosing nongenetic biomarkers and only one study included people without a family history of AD. Empirical studies on the effects of disclosing nongenetic biomarkers and of disclosure to persons without a family history of AD are urgently needed. TRIAL REGISTRATION PROSPERO international prospective register for systematic reviews CRD42016035388 . Registered 19 February 2016.
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Affiliation(s)
- S A S A Bemelmans
- Department of Neurology, Radboudumc, Geert Grooteplein-Zuid 10, 6525 GA, Nijmegen, The Netherlands
| | - K Tromp
- Department of Medical Ethics and Philosophy of Medicine, Erasmus MC, Wytemaweg 80, 3015 CN, Rotterdam, The Netherlands
| | - E M Bunnik
- Department of Medical Ethics and Philosophy of Medicine, Erasmus MC, Wytemaweg 80, 3015 CN, Rotterdam, The Netherlands
| | - R J Milne
- Cambridge Institute of Public Health, University of Cambridge, Forvie Site, Robinson Way, Cambridge, CB2 0SR, UK
| | - S Badger
- Cambridge Institute of Public Health, University of Cambridge, Forvie Site, Robinson Way, Cambridge, CB2 0SR, UK
| | - C Brayne
- Cambridge Institute of Public Health, University of Cambridge, Forvie Site, Robinson Way, Cambridge, CB2 0SR, UK
| | - M H Schermer
- Department of Medical Ethics and Philosophy of Medicine, Erasmus MC, Wytemaweg 80, 3015 CN, Rotterdam, The Netherlands
| | - E Richard
- Department of Neurology, Radboudumc, Geert Grooteplein-Zuid 10, 6525 GA, Nijmegen, The Netherlands.
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Alzheimer Disease and Its Growing Epidemic: Risk Factors, Biomarkers, and the Urgent Need for Therapeutics. Neurol Clin 2016; 34:941-953. [PMID: 27720002 DOI: 10.1016/j.ncl.2016.06.009] [Citation(s) in RCA: 102] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Alzheimer disease (AD) represents one of the greatest medical challenges of this century; the condition is becoming increasingly prevalent worldwide and no effective treatments have been developed for this terminal disease. Because the disease manifests at a late stage after a long period of clinically silent neurodegeneration, knowledge of the modifiable risk factors and the implementation of biomarkers is crucial in the primary prevention of the disease and presymptomatic detection of AD, respectively. This article discusses the growing epidemic of AD and antecedent risk factors in the disease process. Disease biomarkers are discussed, and the implications that this may have for the treatment of this currently incurable disease.
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Gooblar J, Roe CM, Selsor NJ, Gabel MJ, Morris JC. Attitudes of Research Participants and the General Public Regarding Disclosure of Alzheimer Disease Research Results. JAMA Neurol 2016; 72:1484-90. [PMID: 26501506 DOI: 10.1001/jamaneurol.2015.2875] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
IMPORTANCE Results of Alzheimer disease (AD) research assessments typically are not disclosed to participants. Recent research has suggested interest in disclosure, but, to our knowledge, few studies have accounted for awareness of potential benefits and limitations of disclosure. OBJECTIVE To determine the attitudes of cognitively normal research participants and members of the general public regarding disclosure of AD research results. DESIGN, SETTING, AND PARTICIPANTS Participants in a longitudinal aging study (Alzheimer Disease Research Center [ADRC]) were given preintervention and postintervention surveys about disclosure attitudes. In a general public sample (The American Panel Survey), participants responded to a similar survey about disclosure attitudes. INTERVENTIONS Participants in the ADRC sample were randomly assigned to a group (n = 119) that read an education intervention about the usefulness of AD biomarkers or to a placebo group (n = 100) that read as its intervention general information about the ADRC. Participants in the general public sample read a brief vignette describing participation in a longitudinal AD study. MAIN OUTCOME AND MEASURE Interest in disclosure of AD research results. RESULTS Cognitively normal ADRC participants (n = 219) were 60.7% (n = 133) female, 83.6% (n = 183) of white race, and reported a mean of 15.91 years of education. Twenty-nine individuals refused participation. The American Panel Survey participants (n = 1418) indicated they did not have AD and were 50.5% (n = 716) female, 76.7% (n = 1087) of white race, and reported a mean of 13.85 years of education. Overall, 77.6% of eligible participants (1583 of 2041) completed the survey in July 2014. Interest in disclosure was high among the ADRC participants (55.1% [119 of 216] were "extremely interested"). Viewing the education intervention predicted lower interest in disclosure (odds ratio, 2.01; 95% CI, 1.15-3.53; P = .02). High subjective risk of AD, a family history of AD, and minimal attendance at research meetings were associated with high interest after the intervention. In the general public, interest was lower overall (12.5% [174 of 1389] were "extremely interested"), but the subset of participants most likely to join an AD research study reported higher interest (43.5% [40 of 92] were extremely interested). CONCLUSIONS AND RELEVANCE Experience with AD appears to increase interest in disclosure of AD research results. Learning about potential limitations of disclosure somewhat tempered interest. These findings should inform the development of disclosure policies for asymptomatic individuals in AD studies.
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Affiliation(s)
- Jonathan Gooblar
- Department of Psychology, Washington University in St Louis, St Louis, Missouri
| | - Catherine M Roe
- Knight Alzheimer Disease Research Center, Washington University in St Louis, St Louis, Missouri3Department of Neurology, Washington University in St Louis, St Louis, Missouri
| | - Natalie J Selsor
- Knight Alzheimer Disease Research Center, Washington University in St Louis, St Louis, Missouri
| | - Matthew J Gabel
- Department of Political Science, Washington University in St Louis, St Louis, Missouri
| | - John C Morris
- Knight Alzheimer Disease Research Center, Washington University in St Louis, St Louis, Missouri5Department of Pathology and Immunology, Washington University in St Louis, St Louis, Missouri6Department of Physical Therapy, Washington University in St Louis
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Grill JD, Zhou Y, Elashoff D, Karlawish J. Disclosure of amyloid status is not a barrier to recruitment in preclinical Alzheimer's disease clinical trials. Neurobiol Aging 2016; 39:147-53. [PMID: 26923411 PMCID: PMC4773920 DOI: 10.1016/j.neurobiolaging.2015.11.007] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2015] [Revised: 11/03/2015] [Accepted: 11/11/2015] [Indexed: 12/17/2022]
Abstract
Preclinical Alzheimer's disease (AD) clinical trials may require participants to learn if they meet biomarker enrollment criteria. To examine whether this requirement will impact trial recruitment, we presented 132 older community volunteers who self-reported normal cognition with 1 of 2 hypothetical informed consent forms (ICFs) describing an AD prevention clinical trial. Both ICFs described amyloid Positron Emission Tomography scans. One ICF stated that scan results would not be shared with the participants (blinded enrollment); the other stated that only persons with elevated amyloid would be eligible (transparent enrollment). Participants rated their likelihood of enrollment and completed an interview with a research assistant. We found no difference between the groups in willingness to participate. Study risks and the requirement of a study partner were reported as the most important factors in the decision whether to enroll. The requirement of biomarker disclosure may not slow recruitment to preclinical AD trials.
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Affiliation(s)
- Joshua D Grill
- Department of Psychiatry and Human Behavior, Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, Irvine, CA, USA.
| | - Yan Zhou
- Department of Neurology, Mary S. Easton Center for Alzheimer's Disease Research, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
| | - David Elashoff
- Department of Neurology, Mary S. Easton Center for Alzheimer's Disease Research, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA; Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Jason Karlawish
- Penn Neurodegenerative Disease Ethics and Policy Program, Department of Medicine, Penn Memory Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Penn Neurodegenerative Disease Ethics and Policy Program, Department of Medical Ethics and Health Policy, Penn Memory Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
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Abstract
Hypertension is a highly prevalent condition with numerous health risks, and the incidence of hypertension is greatest among older adults. Traditional discussions of hypertension have largely focused on the risks for cardiovascular disease and associated events. However, there are a number of collateral effects, including risks for dementia, physical disability, and falls/fractures which are increasingly garnering attention in the hypertension literature. Several key mechanisms--including inflammation, oxidative stress, and endothelial dysfunction--are common to biologic aging and hypertension development and appear to have key mechanistic roles in the development of the cardiovascular and collateral risks of late-life hypertension. The objective of the present review is to highlight the multi-dimensional risks of hypertension among older adults and discuss potential strategies for treatment and future areas of research for improving overall care for older adults with hypertension.
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Ott BR, Pelosi MA, Tremont G, Snyder PJ. A Survey of Knowledge and Views Concerning Genetic and Amyloid PET Status Disclosure. ALZHEIMERS & DEMENTIA-TRANSLATIONAL RESEARCH & CLINICAL INTERVENTIONS 2016; 2:23-29. [PMID: 27019867 PMCID: PMC4804344 DOI: 10.1016/j.trci.2015.12.001] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Introduction This survey characterizes viewpoints of cognitively intact at-risk participants in an Alzheimer Prevention Registry if given the opportunity to learn their genetic and amyloid positron emission tomography (PET) status. Methods A total of 207 participants were offered a 25-item survey. They were asked if they wished to know their apolipoprotein E (APOE) and amyloid PET status and if so, reasons for wanting to know, or not, and the effects of such information on life plans. Results One hundred sixty-four (79.2%) of the registrants completed the survey. Among those who were unaware of their APOE or amyloid PET results, 80% desired to know this information. The most common reasons for wanting disclosure were to participate in research, arrange personal affairs, prepare family for illness, and move life plans closer into the future. When asked if disclosure would help with making plans to end one's life when starting to lose their memory, 12.7% versus 11.5% responded yes for APOE and amyloid PET disclosures, respectively. Disclosure of these test results, if required for participation in a clinical trial, would make 15% of the people less likely to participate. Likelihood of participation in prevention research and the desire to know test results were not related to scores on brief tests of knowledge about the tests. Discussion These results suggest that stakeholders in AD prevention research generally wish to know biological test information about their risk for developing AD to assist in making life plans.
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Affiliation(s)
- B R Ott
- Rhode Island Hospital, Department of Nzeurology, Alpert Medical School of Brown University Providence, RI
| | - M A Pelosi
- Rhode Island Hospital, Department of Nzeurology, Alpert Medical School of Brown University Providence, RI
| | - G Tremont
- Psychiatry and Human Behavior; Alpert Medical School of Brown University Providence, RI
| | - P J Snyder
- Rhode Island Hospital, Department of Nzeurology, Alpert Medical School of Brown University Providence, RI
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Saykin AJ, Shen L, Yao X, Kim S, Nho K, Risacher SL, Ramanan VK, Foroud TM, Faber KM, Sarwar N, Munsie LM, Hu X, Soares HD, Potkin SG, Thompson PM, Kauwe JSK, Kaddurah-Daouk R, Green RC, Toga AW, Weiner MW. Genetic studies of quantitative MCI and AD phenotypes in ADNI: Progress, opportunities, and plans. Alzheimers Dement 2015; 11:792-814. [PMID: 26194313 PMCID: PMC4510473 DOI: 10.1016/j.jalz.2015.05.009] [Citation(s) in RCA: 221] [Impact Index Per Article: 22.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2015] [Revised: 05/08/2015] [Accepted: 05/08/2015] [Indexed: 01/01/2023]
Abstract
INTRODUCTION Genetic data from the Alzheimer's Disease Neuroimaging Initiative (ADNI) have been crucial in advancing the understanding of Alzheimer's disease (AD) pathophysiology. Here, we provide an update on sample collection, scientific progress and opportunities, conceptual issues, and future plans. METHODS Lymphoblastoid cell lines and DNA and RNA samples from blood have been collected and banked, and data and biosamples have been widely disseminated. To date, APOE genotyping, genome-wide association study (GWAS), and whole exome and whole genome sequencing data have been obtained and disseminated. RESULTS ADNI genetic data have been downloaded thousands of times, and >300 publications have resulted, including reports of large-scale GWAS by consortia to which ADNI contributed. Many of the first applications of quantitative endophenotype association studies used ADNI data, including some of the earliest GWAS and pathway-based studies of biospecimen and imaging biomarkers, as well as memory and other clinical/cognitive variables. Other contributions include some of the first whole exome and whole genome sequencing data sets and reports in healthy controls, mild cognitive impairment, and AD. DISCUSSION Numerous genetic susceptibility and protective markers for AD and disease biomarkers have been identified and replicated using ADNI data and have heavily implicated immune, mitochondrial, cell cycle/fate, and other biological processes. Early sequencing studies suggest that rare and structural variants are likely to account for significant additional phenotypic variation. Longitudinal analyses of transcriptomic, proteomic, metabolomic, and epigenomic changes will also further elucidate dynamic processes underlying preclinical and prodromal stages of disease. Integration of this unique collection of multiomics data within a systems biology framework will help to separate truly informative markers of early disease mechanisms and potential novel therapeutic targets from the vast background of less relevant biological processes. Fortunately, a broad swath of the scientific community has accepted this grand challenge.
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Affiliation(s)
- Andrew J Saykin
- Center for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA; Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, IN, USA; Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA.
| | - Li Shen
- Center for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA; Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, IN, USA; Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Xiaohui Yao
- Center for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA; School of Informatics and Computing, Indiana University, Purdue University - Indianapolis, Indianapolis, IN, USA
| | - Sungeun Kim
- Center for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA; Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Kwangsik Nho
- Center for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA; Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Shannon L Risacher
- Center for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA; Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Vijay K Ramanan
- Center for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA; Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, IN, USA; Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Tatiana M Foroud
- Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, IN, USA; Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Kelley M Faber
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | | | | | - Xiaolan Hu
- Bristol-Myers Squibb, Wallingford, CT, USA
| | | | - Steven G Potkin
- Department of Psychiatry and Human Behavior, University of California - Irvine, Irvine, CA, USA
| | - Paul M Thompson
- Department of Neurology, Keck School of Medicine of USC, University of Southern California, Marina del Rey, CA, USA; Imaging Genetics Center, Keck School of Medicine of USC, University of Southern California, Marina del Rey, CA, USA
| | - John S K Kauwe
- Department of Biology, Brigham Young University, Provo, UT, USA; Department of Neuroscience, Brigham Young University, Provo, UT, USA
| | - Rima Kaddurah-Daouk
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA; Duke Institute for Brain Sciences, Duke University, Durham, NC, USA
| | - Robert C Green
- Partners Center for Personalized Genetic Medicine, Boston, MA, USA; Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Arthur W Toga
- Laboratory of Neuroimaging, Institute for Neuroimaging and Neuroinformatics, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Michael W Weiner
- Department of Radiology, University of California-San Francisco, San Francisco, CA, USA; Department of Medicine, University of California-San Francisco, San Francisco, CA, USA; Department of Psychiatry, University of California-San Francisco, San Francisco, CA, USA; Center for Imaging of Neurodegenerative Diseases, San Francisco VA Medical Center, San Francisco, CA, USA
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A Systematic Review of the Public’s Knowledge and Understanding of Alzheimer’s Disease and Dementia. Alzheimer Dis Assoc Disord 2015. [DOI: 10.1097/wad.0000000000000102] [Citation(s) in RCA: 126] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Abstract
IMPORTANCE Cognitive decline is a common and feared aspect of aging. Mild cognitive impairment (MCI) is defined as the symptomatic predementia stage on the continuum of cognitive decline, characterized by objective impairment in cognition that is not severe enough to require help with usual activities of daily living. OBJECTIVE To present evidence on the diagnosis, treatment, and prognosis of MCI and to provide physicians with an evidence-based framework for caring for older patients with MCI and their caregivers. EVIDENCE ACQUISITION We searched PubMed for English-language articles in peer-reviewed journals and the Cochrane Library database from inception through July 2014. Relevant references from retrieved articles were also evaluated. FINDINGS The prevalence of MCI in adults aged 65 years and older is 10% to 20%; risk increases with age and men appear to be at higher risk than women. In older patients with MCI, clinicians should consider depression, polypharmacy, and uncontrolled cardiovascular risk factors, all of which may increase risk for cognitive impairment and other negative outcomes. Currently, no medications have proven effective for MCI; treatments and interventions should be aimed at reducing cardiovascular risk factors and prevention of stroke. Aerobic exercise, mental activity, and social engagement may help decrease risk of further cognitive decline. Although patients with MCI are at greater risk for developing dementia compared with the general population, there is currently substantial variation in risk estimates (from <5% to 20% annual conversion rates), depending on the population studied. Current research targets improving early detection and treatment of MCI, particularly in patients at high risk for progression to dementia. CONCLUSIONS AND RELEVANCE Cognitive decline and MCI have important implications for patients and their families and will require that primary care clinicians be skilled in identifying and managing this common disorder as the number of older adults increases in coming decades. Current evidence supports aerobic exercise, mental activity, and cardiovascular risk factor control in patients with MCI.
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Affiliation(s)
- Kenneth M. Langa
- Division of General Medicine, Dept of Internal Medicine, University of Michigan, Ann Arbor, MI
- Veterans Affairs Center for Clinical Management Research, Ann Arbor, MI
- Institute for Social Research, University of Michigan, Ann Arbor, MI
- Institute of Gerontology, University of Michigan, Ann Arbor, MI
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI
| | - Deborah A. Levine
- Division of General Medicine, Dept of Internal Medicine, University of Michigan, Ann Arbor, MI
- Veterans Affairs Center for Clinical Management Research, Ann Arbor, MI
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI
- Department of Neurology and Stroke Program, University of Michigan, Ann Arbor, MI
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