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Liu E, Zhang Y, Wang JZ. Updates in Alzheimer's disease: from basic research to diagnosis and therapies. Transl Neurodegener 2024; 13:45. [PMID: 39232848 PMCID: PMC11373277 DOI: 10.1186/s40035-024-00432-x] [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: 03/12/2024] [Accepted: 07/11/2024] [Indexed: 09/06/2024] Open
Abstract
Alzheimer's disease (AD) is the most common neurodegenerative disorder, characterized pathologically by extracellular deposition of β-amyloid (Aβ) into senile plaques and intracellular accumulation of hyperphosphorylated tau (pTau) as neurofibrillary tangles. Clinically, AD patients show memory deterioration with varying cognitive dysfunctions. The exact molecular mechanisms underlying AD are still not fully understood, and there are no efficient drugs to stop or reverse the disease progression. In this review, we first provide an update on how the risk factors, including APOE variants, infections and inflammation, contribute to AD; how Aβ and tau become abnormally accumulated and how this accumulation plays a role in AD neurodegeneration. Then we summarize the commonly used experimental models, diagnostic and prediction strategies, and advances in periphery biomarkers from high-risk populations for AD. Finally, we introduce current status of development of disease-modifying drugs, including the newly officially approved Aβ vaccines, as well as novel and promising strategies to target the abnormal pTau. Together, this paper was aimed to update AD research progress from fundamental mechanisms to the clinical diagnosis and therapies.
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Affiliation(s)
- Enjie Liu
- Department of Pathology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Yao Zhang
- Department of Endocrine, Liyuan Hospital, Key Laboratory of Ministry of Education for Neurological Disorders, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430077, China
| | - Jian-Zhi Wang
- Department of Pathology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China.
- Department of Pathophysiology, Key Laboratory of Ministry of Education for Neurological Disorders, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
- Co-Innovation Center of Neuroregeneration, Nantong University, Nantong, 226000, China.
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Lempel N, Shelly S, Chorin O, Rock R, Eliyahu A, Finezilber Y, Poran H, Feinstein-Goren N, Segev M, Reznik-Wolf H, Barel O, Orion D, Anis S, Regev M, Yonath H, Dominissini D, Blatt I, Hassin-Baer S, Dori A, Pras E, Greenbaum L. The yield of genetic workup for middle-aged and elderly patients with neurological disorders in a real-world setting. J Neurol Sci 2024; 463:123074. [PMID: 38968664 DOI: 10.1016/j.jns.2024.123074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 04/25/2024] [Accepted: 05/29/2024] [Indexed: 07/07/2024]
Abstract
Genetic workup is becoming increasingly common in the clinical assessment of neurological disorders. We evaluated its yield among middle-aged and elderly neurological patients, in a real-world context. This retrospective study included 368 consecutive Israeli patients aged 50 years and older (202 [54.9%] males), who were referred to a single neurogenetics clinic between 2017 and mid-2023. All had neurological disorders, without a previous molecular diagnosis. Demographic, clinical and genetic data were collected from medical records. The mean age at first genetic counseling at the clinic was 62.3 ± 7.8 years (range 50-85 years), and the main indications for referral were neuromuscular, movement and cerebrovascular disorders, as well as cognitive impairment and dementia. Out of the 368 patients, 245 (66.6%) underwent genetic testing that included exome sequencing (ES), analysis of nucleotide repeat expansions, detection of specific mutations, targeted gene panel sequencing or chromosomal microarray analysis. Overall, 80 patients (21.7%) received a molecular diagnosis due to 36 conditions, accounting for 32.7% of the patients who performed genetic testing. The diagnostic rates were highest for neuromuscular (58/186 patients [31.2%] in this group, 39.2% of 148 tested individuals) and movement disorders (14/79 [17.7%] patients, 29.2% of 48 tested), but lower for other disorders. Testing of nucleotide repeat expansions and ES provided a diagnosis to 28/73 (38.4%) and 19/132 (14.4%) individuals, respectively. Based on our findings, genetic workup and testing are useful in the diagnostic process of neurological patients aged ≥50 years, in particular for those with neuromuscular and movement disorders.
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Affiliation(s)
- Noga Lempel
- Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Shahar Shelly
- Department of Neurology, Rambam Medical Center, Haifa, Israel; Rappaport Faculty of Medicine, Technion, Haifa, Israel; Department of Neurology, Mayo Clinic, Rochester, MN, United States of America
| | - Odelia Chorin
- The Danek Gertner Institute of Human Genetics, Sheba Medical Center, Tel Hashomer, Israel
| | - Rachel Rock
- The Danek Gertner Institute of Human Genetics, Sheba Medical Center, Tel Hashomer, Israel
| | - Aviva Eliyahu
- The Danek Gertner Institute of Human Genetics, Sheba Medical Center, Tel Hashomer, Israel
| | - Yael Finezilber
- The Danek Gertner Institute of Human Genetics, Sheba Medical Center, Tel Hashomer, Israel
| | - Hana Poran
- The Danek Gertner Institute of Human Genetics, Sheba Medical Center, Tel Hashomer, Israel
| | - Neta Feinstein-Goren
- The Danek Gertner Institute of Human Genetics, Sheba Medical Center, Tel Hashomer, Israel
| | - Meirav Segev
- The Danek Gertner Institute of Human Genetics, Sheba Medical Center, Tel Hashomer, Israel
| | - Haike Reznik-Wolf
- The Danek Gertner Institute of Human Genetics, Sheba Medical Center, Tel Hashomer, Israel
| | - Ortal Barel
- The Genomics Unit, Sheba Cancer Research Center, Sheba Medical Center, Tel Hashomer, Israel
| | - David Orion
- Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel; Department of Neurology, Sheba Medical Center, Tel Hashomer, Israel
| | - Saar Anis
- Department of Neurology, Sheba Medical Center, Tel Hashomer, Israel; Movement Disorders Institute, Sheba Medical Center, Tel Hashomer, Israel
| | - Miriam Regev
- Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel; The Danek Gertner Institute of Human Genetics, Sheba Medical Center, Tel Hashomer, Israel
| | - Hagith Yonath
- Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel; The Danek Gertner Institute of Human Genetics, Sheba Medical Center, Tel Hashomer, Israel; Department of Internal Medicine A, Sheba Medical Center, Tel Hashomer, Israel
| | - Dan Dominissini
- Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel; The Genomics Unit, Sheba Cancer Research Center, Sheba Medical Center, Tel Hashomer, Israel; The Wohl Institute for Translational Medicine, Sheba Cancer Research Center, Sheba Medical Center, Tel Hashomer, Israel
| | - Ilan Blatt
- Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Sharon Hassin-Baer
- Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel; Department of Neurology, Sheba Medical Center, Tel Hashomer, Israel; Movement Disorders Institute, Sheba Medical Center, Tel Hashomer, Israel
| | - Amir Dori
- Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel; Department of Neurology, Sheba Medical Center, Tel Hashomer, Israel
| | - Elon Pras
- Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel; The Danek Gertner Institute of Human Genetics, Sheba Medical Center, Tel Hashomer, Israel
| | - Lior Greenbaum
- Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel; The Danek Gertner Institute of Human Genetics, Sheba Medical Center, Tel Hashomer, Israel; The Joseph Sagol Neuroscience Center, Sheba Medical Center, Tel Hashomer, Israel.
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Brown EE, Byrne K, Michos ED, Leucker TM, Marvel F, Jones SR, Martin SS, Arvanitis M. Expanded genetic testing in familial hypercholesterolemia-A single center's experience. Am J Prev Cardiol 2024; 18:100683. [PMID: 38828125 PMCID: PMC11139767 DOI: 10.1016/j.ajpc.2024.100683] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 05/03/2024] [Accepted: 05/11/2024] [Indexed: 06/05/2024] Open
Abstract
Objective Assess the yield of genetic testing for pathogenic variants in ABCG5, ABCG8, LIPA, and APOE in individuals with personal and family histories suggestive of familial hypercholesterolemia. Methods Retrospective review of patients seen in the Advanced Lipid Disorders Clinic at Johns Hopkins. Results In the lipid clinic at a single center during the years 2015-2023, 607 patients underwent genetic testing for familial hypercholesterolemia, of which 263 underwent the expanded genetic testing for sitosterolemia. Eighty-eight patients had genetic testing which included APOE, and 22 patients had testing which included LIPA. Among these, one patient was identified to have a pathogenic variant in APOE and another patient with a pathogenic variant in ABCG5 (0.7 % yield). The frequency of a positive result was double that of a variant of uncertain significance. Conclusion These data suggest in rare cases expanded testing can provide answers for patients and families with a minimal likelihood of a variant of uncertain significance.
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Affiliation(s)
- Emily E. Brown
- Division of Cardiology, School of Medicine, Johns Hopkins University, 600 N. Wolfe St Blalock 572, Baltimore, MD 21287, United States
| | - Kathleen Byrne
- Division of Cardiology, School of Medicine, Johns Hopkins University, 600 N. Wolfe St Blalock 572, Baltimore, MD 21287, United States
| | - Erin D. Michos
- Division of Cardiology, School of Medicine, Johns Hopkins University, 600 N. Wolfe St Blalock 572, Baltimore, MD 21287, United States
| | - Thorsten M. Leucker
- Division of Cardiology, School of Medicine, Johns Hopkins University, 600 N. Wolfe St Blalock 572, Baltimore, MD 21287, United States
| | - Francoise Marvel
- Division of Cardiology, School of Medicine, Johns Hopkins University, 600 N. Wolfe St Blalock 572, Baltimore, MD 21287, United States
| | - Steven R. Jones
- Division of Cardiology, School of Medicine, Johns Hopkins University, 600 N. Wolfe St Blalock 572, Baltimore, MD 21287, United States
| | - Seth S. Martin
- Division of Cardiology, School of Medicine, Johns Hopkins University, 600 N. Wolfe St Blalock 572, Baltimore, MD 21287, United States
| | - Marios Arvanitis
- Division of Cardiology, School of Medicine, Johns Hopkins University, 600 N. Wolfe St Blalock 572, Baltimore, MD 21287, United States
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2024 Alzheimer's disease facts and figures. Alzheimers Dement 2024; 20:3708-3821. [PMID: 38689398 PMCID: PMC11095490 DOI: 10.1002/alz.13809] [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: 05/02/2024]
Abstract
This article describes the public health impact of Alzheimer's disease (AD), including prevalence and incidence, mortality and morbidity, use and costs of care and the ramifications of AD for family caregivers, the dementia workforce and society. The Special Report discusses the larger health care system for older adults with cognitive issues, focusing on the role of caregivers and non-physician health care professionals. An estimated 6.9 million Americans age 65 and older are living with Alzheimer's dementia today. This number could grow to 13.8 million by 2060, barring the development of medical breakthroughs to prevent or cure AD. Official AD death certificates recorded 119,399 deaths from AD in 2021. In 2020 and 2021, when COVID-19 entered the ranks of the top ten causes of death, Alzheimer's was the seventh-leading cause of death in the United States. Official counts for more recent years are still being compiled. Alzheimer's remains the fifth-leading cause of death among Americans age 65 and older. Between 2000 and 2021, deaths from stroke, heart disease and HIV decreased, whereas reported deaths from AD increased more than 140%. More than 11 million family members and other unpaid caregivers provided an estimated 18.4 billion hours of care to people with Alzheimer's or other dementias in 2023. These figures reflect a decline in the number of caregivers compared with a decade earlier, as well as an increase in the amount of care provided by each remaining caregiver. Unpaid dementia caregiving was valued at $346.6 billion in 2023. Its costs, however, extend to unpaid caregivers' increased risk for emotional distress and negative mental and physical health outcomes. Members of the paid health care and broader community-based workforce are involved in diagnosing, treating and caring for people with dementia. However, the United States faces growing shortages across different segments of the dementia care workforce due to a combination of factors, including the absolute increase in the number of people living with dementia. Therefore, targeted programs and care delivery models will be needed to attract, better train and effectively deploy health care and community-based workers to provide dementia care. Average per-person Medicare payments for services to beneficiaries age 65 and older with AD or other dementias are almost three times as great as payments for beneficiaries without these conditions, and Medicaid payments are more than 22 times as great. Total payments in 2024 for health care, long-term care and hospice services for people age 65 and older with dementia are estimated to be $360 billion. The Special Report investigates how caregivers of older adults with cognitive issues interact with the health care system and examines the role non-physician health care professionals play in facilitating clinical care and access to community-based services and supports. It includes surveys of caregivers and health care workers, focusing on their experiences, challenges, awareness and perceptions of dementia care navigation.
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Ritchie M, Sajjadi SA, Grill JD. Apolipoprotein E Genetic Testing in a New Age of Alzheimer Disease Clinical Practice. Neurol Clin Pract 2024; 14:e200230. [PMID: 38223345 PMCID: PMC10783973 DOI: 10.1212/cpj.0000000000200230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Accepted: 11/01/2023] [Indexed: 01/16/2024]
Abstract
The recent FDA approval of amyloid-lowering drugs is changing the landscape of Alzheimer disease (AD) clinical practice. Previously, apolipoprotein E (APOE) genetic testing was not recommended in the care of people with AD because of limited clinical utility. With the advent of amyloid-lowering drugs, APOE genotype will play an important role in guiding treatment recommendations. Recent clinical trials have reported strong associations between APOE genotype and the safety and possibly the efficacy of amyloid-lowering drugs. Therefore, a clinical workflow that includes biomarker and genetic testing should be implemented to provide patients with the opportunity to make informed decisions and instruct safety monitoring for clinicians. Pretest consent, education, and counseling will be an essential aspect of this process for patients and their family members to understand the implications of these tests and their results. Given that the approved amyloid-lowering drugs are indicated for patients with mild cognitive impairment or mild dementia with biomarker evidence of AD, biomarker testing should be performed before genetic testing and genetic testing should only be performed in patients interested in treatment with amyloid-lowering drugs. It is also important to consider other implications of genetic testing, including burden on and need for additional training for clinicians, the role of additional providers, and the potential challenges for patients and families.
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Affiliation(s)
- Marina Ritchie
- UC Irvine Institute for Memory Impairments and Neurological Disorders (MR, SAS); Department of Neurobiology and Behavior (MR); Department of Neurology (SAS); and Department of Psychiatry and Human Behavior, University of California, Irvine
| | - Seyed Ahmad Sajjadi
- UC Irvine Institute for Memory Impairments and Neurological Disorders (MR, SAS); Department of Neurobiology and Behavior (MR); Department of Neurology (SAS); and Department of Psychiatry and Human Behavior, University of California, Irvine
| | - Joshua D Grill
- UC Irvine Institute for Memory Impairments and Neurological Disorders (MR, SAS); Department of Neurobiology and Behavior (MR); Department of Neurology (SAS); and Department of Psychiatry and Human Behavior, University of California, Irvine
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LeBlanc MA, Gough A, Rideout AL, Dyack S, Singh K, MacNeil M. Atypical Neuropsychiatric Presentation of FTD-ALS Caused by a Pathogenic Repeat Expansion in C9orf72: A Case Report. J Geriatr Psychiatry Neurol 2024; 37:157-162. [PMID: 37548032 PMCID: PMC10802081 DOI: 10.1177/08919887231195337] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/08/2023]
Abstract
The case report describes the presentation of a 42-year-old male ultimately diagnosed with FTD-ALS caused by a genetic mutation, who initially presented with atypical psychiatric symptoms. Given that the initial clinical manifestations of FTD-ALS can be quite variable, the diagnosis is often challenging; the case report aims to highlight several key considerations in the diagnostic assessment, including genetic testing in order to guide clinicians in more timely diagnosis and ultimately improve patient care.
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Affiliation(s)
- Marissa A. LeBlanc
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
- Nova Scotia Health, Halifax, NS, Canada
| | - Amy Gough
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
- Nova Scotia Health, Halifax, NS, Canada
| | | | - Sarah Dyack
- Nova Scotia Health, Halifax, NS, Canada
- IWK Maritime Medical Genetics, Halifax, NS, Canada
| | - Kathleen Singh
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
- Nova Scotia Health, Halifax, NS, Canada
| | - Meagan MacNeil
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
- Nova Scotia Health, Halifax, NS, Canada
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Khayatan D, Razavi SM, Arab ZN, Hosseini Y, Niknejad A, Momtaz S, Abdolghaffari AH, Sathyapalan T, Jamialahmadi T, Kesharwani P, Sahebkar A. Superoxide dismutase: a key target for the neuroprotective effects of curcumin. Mol Cell Biochem 2024; 479:693-705. [PMID: 37166541 DOI: 10.1007/s11010-023-04757-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2023] [Accepted: 04/28/2023] [Indexed: 05/12/2023]
Abstract
Over the past few years, the prevalence of neurodegenerative diseases (NDD) has increased dramatically. The community health system is burdened by the high healthcare costs associated with NDD. Superoxide dismutase (SOD) is a type of metalloenzyme that possesses a distinct characteristic of protecting the body from oxidative stress through antioxidants. In this way, SOD supplementation may activate the endogenous antioxidant mechanism in various pathological conditions and could be used to neutralize free radical excess. Several factors are responsible for damaging DNA and RNA in the body, including the overproduction of reactive species, particularly reactive oxygen species (ROS) and reactive nitrogen species (RNS). Excessive ROS/RNS have deleterious effects on mitochondria and their metabolic processes, mainly through increased mitochondrial proteins, lipids and DNA oxidation. Studies have shown that oxidative stress is implicated in the etiology of many diseases, including NDD. It is thought that anti-inflammatory compounds, particularly phytochemicals, can interfere with these pathways and regulate inflammation. Extensive experimental and clinical research has proven that curcumin (Cur) has anti-inflammatory and anti-neurologic properties. In this review, we have compiled the available data on Cur's anti-inflammatory properties, paying special attention to its therapeutic impact on NDD through SOD.
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Affiliation(s)
- Danial Khayatan
- Department of Toxicology & Pharmacology, Faculty of Pharmacy, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran
- GI Pharmacology Interest Group (GPIG), Universal Scientific Education and Research Network (USERN), Tehran, Iran
| | - Seyed Mehrad Razavi
- Department of Toxicology & Pharmacology, Faculty of Pharmacy, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran
- GI Pharmacology Interest Group (GPIG), Universal Scientific Education and Research Network (USERN), Tehran, Iran
| | - Zahra Najafi Arab
- Department of Toxicology & Pharmacology, Faculty of Pharmacy, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran
- GI Pharmacology Interest Group (GPIG), Universal Scientific Education and Research Network (USERN), Tehran, Iran
| | - Yasamin Hosseini
- Department of Toxicology & Pharmacology, Faculty of Pharmacy, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran
- GI Pharmacology Interest Group (GPIG), Universal Scientific Education and Research Network (USERN), Tehran, Iran
| | - Amirhossein Niknejad
- Department of Toxicology & Pharmacology, Faculty of Pharmacy, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran
- GI Pharmacology Interest Group (GPIG), Universal Scientific Education and Research Network (USERN), Tehran, Iran
| | - Saeideh Momtaz
- GI Pharmacology Interest Group (GPIG), Universal Scientific Education and Research Network (USERN), Tehran, Iran
- Medicinal Plants Research Center, Institute of Medicinal Plants, ACECR, Karaj, Iran
- Department of Toxicology and Pharmacology, School of Pharmacy, and Toxicology and Diseases Group, Pharmaceutical Sciences Research Center (PSRC), The Institute of Pharmaceutical Sciences (TIPS), Tehran University of Medical Sciences, Tehran, Iran
| | - Amir Hossein Abdolghaffari
- Department of Toxicology & Pharmacology, Faculty of Pharmacy, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran.
- GI Pharmacology Interest Group (GPIG), Universal Scientific Education and Research Network (USERN), Tehran, Iran.
- Medicinal Plants Research Center, Institute of Medicinal Plants, ACECR, Karaj, Iran.
- Department of Toxicology and Pharmacology, School of Pharmacy, and Toxicology and Diseases Group, Pharmaceutical Sciences Research Center (PSRC), The Institute of Pharmaceutical Sciences (TIPS), Tehran University of Medical Sciences, Tehran, Iran.
| | - Thozhukat Sathyapalan
- Academic Diabetes Endocrinology and Metabolism, Hull York Medical School, University of Hull, United Kingdom of Great Britain and Northern Ireland, Hull, UK
| | - Tannaz Jamialahmadi
- Applied Biomedical Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
- Surgical Oncology Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Prashant Kesharwani
- Department of Pharmaceutics, School of Pharmaceutical Education and Research, Jamia Hamdard, New Delhi, 110062, India.
- Centre for Transdisciplinary Research, Department of Pharmacology, Saveetha Dental College, Saveetha Institute of Medical and Technical Science, Chennai, India.
| | - Amirhossein Sahebkar
- Applied Biomedical Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
- Biotechnology Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran.
- Department of Biotechnology, School of Pharmacy, Mashhad University of Medical Sciences, Mashhad, Iran.
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Dratch L, Azage M, Baldwin A, Johnson K, Paul RA, Bardakjian TM, Michon SC, Amado DA, Baer M, Deik AF, Elman LB, Gonzalez-Alegre P, Guo MH, Hamedani AG, Irwin DJ, Lasker A, Orthmann-Murphy J, Quinn C, Tropea TF, Scherer SS, Ellis CA. Genetic testing in adults with neurologic disorders: indications, approach, and clinical impacts. J Neurol 2024; 271:733-747. [PMID: 37891417 PMCID: PMC11095966 DOI: 10.1007/s00415-023-12058-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Revised: 10/10/2023] [Accepted: 10/11/2023] [Indexed: 10/29/2023]
Abstract
The role of genetic testing in neurologic clinical practice has increased dramatically in recent years, driven by research on genetic causes of neurologic disease and increased availability of genetic sequencing technology. Genetic testing is now indicated for adults with a wide range of common neurologic conditions. The potential clinical impacts of a genetic diagnosis are also rapidly expanding, with a growing list of gene-specific treatments and clinical trials, in addition to important implications for prognosis, surveillance, family planning, and diagnostic closure. The goals of this review are to provide practical guidance for clinicians about the role of genetics in their practice and to provide the neuroscience research community with a broad survey of current progress in this field. We aim to answer three questions for the neurologist in practice: Which of my patients need genetic testing? What testing should I order? And how will genetic testing help my patient? We focus on common neurologic disorders and presentations to the neurology clinic. For each condition, we review the most current guidelines and evidence regarding indications for genetic testing, expected diagnostic yield, and recommended testing approach. We also focus on clinical impacts of genetic diagnoses, highlighting a number of gene-specific therapies recently approved for clinical use, and a rapidly expanding landscape of gene-specific clinical trials, many using novel nucleotide-based therapeutic modalities like antisense oligonucleotides and gene transfer. We anticipate that more widespread use of genetic testing will help advance therapeutic development and improve the care, and outcomes, of patients with neurologic conditions.
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Affiliation(s)
- Laynie Dratch
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St, 3 West Gates Building, Philadelphia, PA, 19104, USA
| | - Meron Azage
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St, 3 West Gates Building, Philadelphia, PA, 19104, USA
| | - Aaron Baldwin
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St, 3 West Gates Building, Philadelphia, PA, 19104, USA
| | - Kelsey Johnson
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St, 3 West Gates Building, Philadelphia, PA, 19104, USA
| | - Rachel A Paul
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St, 3 West Gates Building, Philadelphia, PA, 19104, USA
| | - Tanya M Bardakjian
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St, 3 West Gates Building, Philadelphia, PA, 19104, USA
- Sarepta Therapeutics Inc, Cambridge, MA, 02142, USA
| | - Sara-Claude Michon
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St, 3 West Gates Building, Philadelphia, PA, 19104, USA
| | - Defne A Amado
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St, 3 West Gates Building, Philadelphia, PA, 19104, USA
| | - Michael Baer
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St, 3 West Gates Building, Philadelphia, PA, 19104, USA
| | - Andres F Deik
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St, 3 West Gates Building, Philadelphia, PA, 19104, USA
| | - Lauren B Elman
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St, 3 West Gates Building, Philadelphia, PA, 19104, USA
| | - Pedro Gonzalez-Alegre
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St, 3 West Gates Building, Philadelphia, PA, 19104, USA
- Spark Therapeutics Inc, Philadelphia, PA, 19104, USA
| | - Michael H Guo
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St, 3 West Gates Building, Philadelphia, PA, 19104, USA
| | - Ali G Hamedani
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St, 3 West Gates Building, Philadelphia, PA, 19104, USA
| | - David J Irwin
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St, 3 West Gates Building, Philadelphia, PA, 19104, USA
| | - Aaron Lasker
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St, 3 West Gates Building, Philadelphia, PA, 19104, USA
| | - Jennifer Orthmann-Murphy
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St, 3 West Gates Building, Philadelphia, PA, 19104, USA
| | - Colin Quinn
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St, 3 West Gates Building, Philadelphia, PA, 19104, USA
| | - Thomas F Tropea
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St, 3 West Gates Building, Philadelphia, PA, 19104, USA
| | - Steven S Scherer
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St, 3 West Gates Building, Philadelphia, PA, 19104, USA
| | - Colin A Ellis
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St, 3 West Gates Building, Philadelphia, PA, 19104, USA.
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Hu YH, Su T, Wu L, Wu JF, Liu D, Zhu LQ, Yuan M. Deregulation of the Glymphatic System in Alzheimer's Disease: Genetic and Non-Genetic Factors. Aging Dis 2024:AD.2023.1229. [PMID: 38270115 DOI: 10.14336/ad.2023.1229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Accepted: 12/29/2023] [Indexed: 01/26/2024] Open
Abstract
Alzheimer's disease (AD) is the most prevalent form of dementia and is characterized by progressive degeneration of brain function. AD gradually affects the parts of the brain that control thoughts, language, behavior and mental function, severely impacting a person's ability to carry out daily activities and ultimately leading to death. The accumulation of extracellular amyloid-β peptide (Aβ) and the aggregation of intracellular hyperphosphorylated tau are the two key pathological hallmarks of AD. AD is a complex condition that involves both non-genetic risk factors (35%) and genetic risk factors (58-79%). The glymphatic system plays an essential role in clearing metabolic waste, transporting tissue fluid, and participating in the immune response. Both non-genetic and genetic risk factors affect the glymphatic system to varying degrees. The main purpose of this review is to summarize the underlying mechanisms involved in the deregulation of the glymphatic system during the progression of AD, especially concerning the diverse contributions of non-genetic and genetic risk factors. In the future, new targets and interventions that modulate these interrelated mechanisms will be beneficial for the prevention and treatment of AD.
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Affiliation(s)
- Yan-Hong Hu
- Department of Neurology, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
| | - Ting Su
- Department of Neurology, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
| | - Lin Wu
- Department of Neurology, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
| | - Jun-Fang Wu
- Department of Neurology, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
| | - Dan Liu
- Department of Pathophysiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Ling-Qiang Zhu
- Department of Pathophysiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Mei Yuan
- Department of Neurology, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
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Feldman SJ, Blasco D, Mones M, Scott Roberts J. Interest in and Experience with Genetic Testing for Late-Onset Medical Conditions: Results from the National Poll on Healthy Aging. J Prev Alzheimers Dis 2024; 11:1079-1086. [PMID: 39044520 PMCID: PMC11339685 DOI: 10.14283/jpad.2024.69] [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] [Indexed: 07/25/2024]
Abstract
BACKGROUND The increasing availability of genetic testing for late-onset diseases such as Alzheimer's disease necessitates understanding public perceptions and experiences of such testing among at-risk populations. OBJECTIVES To assess (a) prior uptake of genetic testing (both in medical and direct-to-consumer settings), (b) future interest in genetic testing for late-onset conditions (e.g., Alzheimer's disease, Parkinson's disease), and (c) perceptions of testing pros and cons among middle-to-older aged adults. DESIGN Online, cross-sectional survey study. SETTING The National Poll on Healthy Aging at the University of Michigan is a recurring biannual survey of a nationally representative sample of adults aged 50-80. This study reports on a March 2018 fielding of the survey that included a genetic testing module administered to adults aged 50-64. PARTICIPANTS Study participants were 991 community-dwelling adults aged 50-64. MEASUREMENTS Survey measures assessed (a) prior use of genetic testing, (b) reasons for engaging in genetic testing, (c) interest in different types of genetic testing, including for Alzheimer's disease, Parkinson's disease, and macular degeneration, and (d) perceived benefits, risks, and limitations of testing. RESULTS Previous uptake of genetic testing was limited (medical use: 5.1%; direct-to-consumer: 10.8%), with direct-to-consumer test uptake higher among respondents with household incomes of $100,000 or more. Over half of adults endorsed interest in genetic testing for estimation of disease risk (58.9%), ancestry knowledge (58%), and informing medical care (53.8%). Interest in genetic testing for specific late-onset conditions was even higher, including Alzheimer's disease (70%), Parkinson's disease (65.3%), and macular degeneration (64.3%). Multivariable logistic regression models showed that older adults more likely to be interested in genetic testing for medical or disease risk purposes were those with higher levels of education (college degree or higher) and who endorsed the benefits of genetic testing, whereas respondents who endorsed testing risks and limitations were less likely to express interest. CONCLUSION While prior use of genetic testing among the middle-to-older age population was low, interest in testing for Alzheimer's disease and other late-onset conditions was high. This high interest may translate into increased uptake given expanded access to testing and recent treatment advances for Alzheimer's disease.
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Affiliation(s)
- S J Feldman
- J. Scott Roberts, University of Michigan School of Public Health, USA,
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11
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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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Rich MB, Zawatsky CLB, Botta JJ, Christensen KD. Public perspective on medications to delay Alzheimer's disease symptoms. J Genet Couns 2023; 32:1009-1017. [PMID: 37102213 PMCID: PMC10593096 DOI: 10.1002/jgc4.1708] [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: 09/16/2022] [Revised: 02/27/2023] [Accepted: 03/20/2023] [Indexed: 04/28/2023]
Abstract
Disease-modifying treatments for Alzheimer's disease are emerging. Our research examined how personal risk for AD may influence intentions to ask for medications to delay symptoms of AD, and how the availability of such medications impacts interest in AD-related genetic testing. Invitations to a web-based survey were posted on social media sites. Respondents were sequentially assigned to imagine that they had a 5%, 15%, or 35% chance of developing AD. They were then provided a hypothetical scenario describing a medication that delayed AD symptoms. After reporting intentions to ask for the medication, respondents were asked about their interest in genetic testing to predict AD risk. Data from 310 individuals were analyzed. Intentions to ask for a preventative medication were greater for respondents presented AD risks of 35% compared to risks of 15% and 5% (86% vs. 66% vs. 62%, respectively, p < 0.001). The proportion who would ask for genetic susceptibility testing increased from 58% to 79% when respondents were told to imagine that a medication that delayed AD symptoms existed (p < 0.001). Findings suggest that individuals who know they have an increased risk for AD are more likely pursue medications to delay onset of disease symptoms, and the availability of AD-delaying treatments will increase interest in associated genetic testing. Findings provide insight about who will pursue emerging preventative medications, including individuals for whom the medications may be inappropriate, and the impact on genetic test utilization.
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Affiliation(s)
- Matthew B. Rich
- Baystate Medical Center, Springfield, MA, USA
- MGH Institute of Health Professions, Charlestown, MA, USA
| | - Carrie L. B. Zawatsky
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Ariadne Labs, Boston, MA, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Joseph J. Botta
- Joseph J Botta and Associates LLC, Putnam, CT, USA
- Westview Health Care Center, Dayville, CT, USA
| | - Kurt D. Christensen
- PRecisiOn Medicine Translational Research (PROMoTeR) Center, Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, MA, USA
- Department of Population Medicine, Harvard Medical School, Boston, MA, USA
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Quan M, Cao S, Wang Q, Wang S, Jia J. Genetic Phenotypes of Alzheimer's Disease: Mechanisms and Potential Therapy. PHENOMICS (CHAM, SWITZERLAND) 2023; 3:333-349. [PMID: 37589021 PMCID: PMC10425323 DOI: 10.1007/s43657-023-00098-x] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 01/28/2023] [Accepted: 02/02/2023] [Indexed: 08/18/2023]
Abstract
Years of intensive research has brought us extensive knowledge on the genetic and molecular factors involved in Alzheimer's disease (AD). In addition to the mutations in the three main causative genes of familial AD (FAD) including presenilins and amyloid precursor protein genes, studies have identified several genes as the most plausible genes for the onset and progression of FAD, such as triggering receptor expressed on myeloid cells 2, sortilin-related receptor 1, and adenosine triphosphate-binding cassette transporter subfamily A member 7. The apolipoprotein E ε4 allele is reported to be the strongest genetic risk factor for sporadic AD (SAD), and it also plays an important role in FAD. Here, we reviewed recent developments in genetic and molecular studies that contributed to the understanding of the genetic phenotypes of FAD and compared them with SAD. We further reviewed the advancements in AD gene therapy and discussed the future perspectives based on the genetic phenotypes.
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Affiliation(s)
- Meina Quan
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, 100053 China
- National Medical Center for Neurological Disorders and National Clinical Research Center for Geriatric Diseases, Beijing, 100053 China
| | - Shuman Cao
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, 100053 China
| | - Qi Wang
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, 100053 China
- National Medical Center for Neurological Disorders and National Clinical Research Center for Geriatric Diseases, Beijing, 100053 China
| | - Shiyuan Wang
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, 100053 China
| | - Jianping Jia
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, 100053 China
- National Medical Center for Neurological Disorders and National Clinical Research Center for Geriatric Diseases, Beijing, 100053 China
- Beijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, 100053 China
- Clinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, 100053 China
- Center of Alzheimer’s Disease, Collaborative Innovation Center for Brain Disorders, Beijing Institute of Brain Disorders, Capital Medical University, Beijing, 100053 China
- Key Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, 100053 China
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Patel S, Wei J, Shi Z, Rifkin AS, Zheng SL, Gelfman E, Duggan D, Helfand BT, Hulick PJ, Xu J. Refining Risk for Alzheimer's Disease Among Heterozygous APOEɛ4 Carriers. J Alzheimers Dis 2023:JAD230156. [PMID: 37334598 DOI: 10.3233/jad-230156] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/20/2023]
Abstract
In a large population-based cohort, we show not all heterozygous APOEɛ4 carriers are at increased risk for Alzheimer's disease (AD); a significantly higher AD proportion was only found for ɛ3/ɛ4, not ɛ2/ɛ4. Among ɛ3/ɛ4 carriers (24% in the cohort), the AD proportion differed considerably by polygenic risk score (PRS). In particular, the AD proportion was lower than the entire cohort for subjects in the bottom 20-percentile PRS and was higher than that of homozygous ɛ4 carriers for subjects at the top 5th-percentile PRS. Family history was no longer a significant predictor of AD risk after adjusting APOE and PRS.
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Affiliation(s)
- Smita Patel
- Department of Neurology, NorthShore University HealthSystem, Evanston, IL, USA
| | - Jun Wei
- Program for Personalized Cancer Care, NorthShore University HealthSystem, Evanston, IL, USA
| | - Zhuqing Shi
- Program for Personalized Cancer Care, NorthShore University HealthSystem, Evanston, IL, USA
| | - Andrew S Rifkin
- Program for Personalized Cancer Care, NorthShore University HealthSystem, Evanston, IL, USA
| | - S Lilly Zheng
- Program for Personalized Cancer Care, NorthShore University HealthSystem, Evanston, IL, USA
| | | | - David Duggan
- Translational Genomics Research Institute, Part of City of Hope, Phoenix, AZ, USA
| | - Brian T Helfand
- Program for Personalized Cancer Care, NorthShore University HealthSystem, Evanston, IL, USA
- University of Chicago Pritzker School of Medicine, Chicago, IL, USA
| | - Peter J Hulick
- Neaman Center for Personalized Medicine, NorthShore University HealthSystem, Evanston, IL, USA
| | - Jianfeng Xu
- Program for Personalized Cancer Care, NorthShore University HealthSystem, Evanston, IL, USA
- University of Chicago Pritzker School of Medicine, Chicago, IL, USA
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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: 2] [Impact Index Per Article: 2.0] [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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Poulton A, Curnow L, Eratne D, Sexton A. Family Communication about Diagnostic Genetic Testing for Younger-Onset Dementia. J Pers Med 2023; 13:jpm13040621. [PMID: 37109007 PMCID: PMC10144767 DOI: 10.3390/jpm13040621] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2023] [Revised: 03/27/2023] [Accepted: 03/30/2023] [Indexed: 04/05/2023] Open
Abstract
Younger-onset dementia (YOD) refers to onset before 65 years of age and may be associated with a genetic cause. Family communication surrounding any genetic risk is complex, and this process may be further complicated in a YOD context due to its effects on cognition, behaviour, and associated psychosocial consequences. This study aimed to investigate how individuals experience family communication about potential genetic risk and testing for YOD. Thematic analysis was performed on verbatim transcripts of nine semi-structured interviews undertaken with family members who attended a neurogenetics clinic due to a relative diagnosed with YOD. The interviews explored the participants’ experiences of learning that YOD might be inherited and the ensuing family communication about genetic testing. Four key themes emerged: (1) a clinical diagnostic odyssey was common and could be a motivator for genomic testing, (2) pre-existing family tension and/or disconnection was a common barrier, (3) family members’ autonomy was considered, and (4) avoidant coping strategies influenced communication. Communication regarding potential YOD genetic risk is a complicated process and may be influenced by pre-existing family dynamics, individual coping mechanisms, and a desire to promote autonomy in relatives. To promote effective risk communication, genetic counsellors should pre-emptively address family tensions that may be exacerbated in the context of genetic testing for YOD, with awareness that family strain during a preceding period of diagnostic odyssey is common. Genetic counsellors can offer psychosocial support to facilitate coping with this tension in an adaptive way. The findings also indicated the importance of extending genetic counselling support to relatives.
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Affiliation(s)
- Alice Poulton
- Department of Paediatrics, The University of Melbourne, Parkville, VIC 3051, Australia
- Department of Obstetrics and Gynaecology, The University of Melbourne, Parkville, VIC 3051, Australia
- Murdoch Children’s Research Institute, Parkville, VIC 3052, Australia
- Monash IVF Group Ltd., Cremorne, VIC 3121, Australia
| | - Lisette Curnow
- Murdoch Children’s Research Institute, Parkville, VIC 3052, Australia
- Victorian Clinical Genetics Services, Royal Children’s Hospital, Parkville, VIC 3010, Australia
| | - Dhamidhu Eratne
- Neuropsychiatry, Royal Melbourne Hospital, Parkville, VIC 3051, Australia
- Melbourne Neuropsychiarty Centre, The University of Melbourne, Parkville, VIC 3051, Australia
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, VIC 3051, Australia
- Walter and Elize Hall Institue of Medical Research, The University of Melbourne, Parkville, VIC 3051, Australia
| | - Adrienne Sexton
- Genomic Medicine, The Royal Melbourne Hospital, Grattan St, Parkville, VIC 3050, Australia
- Department of Medicine-Royal Melbourne Hospital, The University of Melbourne, Parkville, VIC 3052, Australia
- Discipline of Genetic Counselling, Graduate School of Health, University of Technology Sydney, Ultimo, NSW 2007, Australia
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Abstract
This article describes the public health impact of Alzheimer's disease, including prevalence and incidence, mortality and morbidity, use and costs of care, and the overall impact on family caregivers, the dementia workforce and society. The Special Report examines the patient journey from awareness of cognitive changes to potential treatment with drugs that change the underlying biology of Alzheimer's. An estimated 6.7 million Americans age 65 and older are living with Alzheimer's dementia today. This number could grow to 13.8 million by 2060 barring the development of medical breakthroughs to prevent, slow or cure AD. Official death certificates recorded 121,499 deaths from AD in 2019, and Alzheimer's disease was officially listed as the sixth-leading cause of death in the United States. In 2020 and 2021, when COVID-19 entered the ranks of the top ten causes of death, Alzheimer's was the seventh-leading cause of death. Alzheimer's remains the fifth-leading cause of death among Americans age 65 and older. Between 2000 and 2019, deaths from stroke, heart disease and HIV decreased, whereas reported deaths from AD increased more than 145%. This trajectory of deaths from AD was likely exacerbated by the COVID-19 pandemic in 2020 and 2021. More than 11 million family members and other unpaid caregivers provided an estimated 18 billion hours of care to people with Alzheimer's or other dementias in 2022. These figures reflect a decline in the number of caregivers compared with a decade earlier, as well as an increase in the amount of care provided by each remaining caregiver. Unpaid dementia caregiving was valued at $339.5 billion in 2022. Its costs, however, extend to family caregivers' increased risk for emotional distress and negative mental and physical health outcomes - costs that have been aggravated by COVID-19. Members of the paid health care workforce are involved in diagnosing, treating and caring for people with dementia. In recent years, however, a shortage of such workers has developed in the United States. This shortage - brought about, in part, by COVID-19 - has occurred at a time when more members of the dementia care workforce are needed. Therefore, programs will be needed to attract workers and better train health care teams. Average per-person Medicare payments for services to beneficiaries age 65 and older with AD or other dementias are almost three times as great as payments for beneficiaries without these conditions, and Medicaid payments are more than 22 times as great. Total payments in 2023 for health care, long-term care and hospice services for people age 65 and older with dementia are estimated to be $345 billion. The Special Report examines whether there will be sufficient numbers of physician specialists to provide Alzheimer's care and treatment now that two drugs are available that change the underlying biology of Alzheimer's disease.
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Papadopoulou E, Pepe G, Konitsiotis S, Chondrogiorgi M, Grigoriadis N, Kimiskidis VK, Tsivgoulis G, Mitsikostas DD, Chroni E, Domouzoglou E, Tsaousis G, Nasioulas G. The evolution of comprehensive genetic analysis in neurology: Implications for precision medicine. J Neurol Sci 2023; 447:120609. [PMID: 36905813 DOI: 10.1016/j.jns.2023.120609] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 02/28/2023] [Accepted: 03/01/2023] [Indexed: 03/07/2023]
Abstract
Technological advancements have facilitated the availability of reliable and thorough genetic analysis in many medical fields, including neurology. In this review, we focus on the importance of selecting the appropriate genetic test to aid in the accurate identification of disease utilizing currently employed technologies for analyzing monogenic neurological disorders. Moreover, the applicability of comprehensive analysis via NGS for various genetically heterogeneous neurological disorders is reviewed, revealing its efficiency in clarifying a frequently cloudy diagnostic picture and delivering a conclusive and solid diagnosis that is essential for the proper management of the patient. The feasibility and effectiveness of medical genetics in neurology require interdisciplinary cooperation among several medical specialties and geneticists, to select and perform the most relevant test according to each patient's medical history, using the most appropriate technological tools. The prerequisites for a comprehensive genetic analysis are discussed, highlighting the utility of appropriate gene selection, variant annotation, and classification. Moreover, genetic counseling and interdisciplinary collaboration could improve diagnostic yield further. Additionally, a sub-analysis is conducted on the 1,502,769 variation records with submitted interpretations in the Clinical Variation (ClinVar) database, with a focus on neurology-related genes, to clarify the value of suitable variant categorization. Finally, we review the current applications of genetic analysis in the diagnosis and personalized management of neurological patients and the advances in the research and scientific knowledge of hereditary neurological disorders that are evolving the utility of genetic analysis towards the individualization of the treatment strategy.
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Affiliation(s)
| | - Georgia Pepe
- GeneKor Medical SA, Spaton 52, Gerakas 15344, Greece
| | - Spiridon Konitsiotis
- Department of Neurology, University of Ioannina, Stavrou Niarchou Avenue, Ioannina 45500, Greece
| | - Maria Chondrogiorgi
- Department of Neurology, University of Ioannina, Stavrou Niarchou Avenue, Ioannina 45500, Greece
| | - Nikolaos Grigoriadis
- Second Department of Neurology, "AHEPA" University Hospital, Aristotle University of Thessaloniki, St. Kiriakidis 1, Thessaloniki 54636, Greece
| | - Vasilios K Kimiskidis
- First Department of Neurology, "AHEPA" University hospital, Aristotle University of Thessaloniki, St. Kiriakidis 1, Thessaloniki 54636, Greece
| | - Georgios Tsivgoulis
- Second Department of Neurology, School of Medicine, "Attikon" University Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Dimos D Mitsikostas
- First Department of Neurology, Aeginition Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Elisabeth Chroni
- Department of Neurology, School of Medicine, University of Patras, Rio-Patras, Greece
| | - Eleni Domouzoglou
- Department of Pediatrics, University Hospital of Ioannina, Stavrou Niarchou Avenue, Ioannina 45500, Greece
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Quan M, Wang Q, Qin W, Wang W, Li F, Zhao T, Li T, Qiu Q, Cao S, Wang S, Wang Y, Jin H, Zhou A, Fang J, Jia L, Jia J. Shared and unique effects of ApoEε4 and pathogenic gene mutation on cognition and imaging in preclinical familial Alzheimer's disease. Alzheimers Res Ther 2023; 15:40. [PMID: 36850008 PMCID: PMC9972804 DOI: 10.1186/s13195-023-01192-y] [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: 07/26/2022] [Accepted: 02/13/2023] [Indexed: 03/01/2023]
Abstract
BACKGROUND Neuropsychology and imaging changes have been reported in the preclinical stage of familial Alzheimer's disease (FAD). This study investigated the effects of APOEε4 and known pathogenic gene mutation on different cognitive domains and circuit imaging markers in preclinical FAD. METHODS One hundred thirty-nine asymptomatic subjects in FAD families, including 26 APOEε4 carriers, 17 APP and 20 PS1 mutation carriers, and 76 control subjects, went through a series of neuropsychological tests and MRI scanning. Test scores and imaging measures including volumes, diffusion indices, and functional connectivity (FC) of frontostriatal and hippocampus to posterior cingulate cortex pathways were compared between groups and analyzed for correlation. RESULTS Compared with controls, the APOEε4 group showed increased hippocampal volume and decreased FC of fronto-caudate pathway. The APP group showed increased recall scores in auditory verbal learning test, decreased fiber number, and increased radial diffusivity and FC of frontostriatal pathway. All three genetic groups showed decreased fractional anisotropy of hippocampus to posterior cingulate cortex pathway. These neuropsychological and imaging measures were able to discriminate genetic groups from controls, with areas under the curve from 0.733 to 0.837. Circuit imaging measures are differentially associated with scores in various cognitive scales in control and genetic groups. CONCLUSIONS There are neuropsychological and imaging changes in the preclinical stage of FAD, some of which are shared by APOEε4 and known pathogenic gene mutation, while some are unique to different genetic groups. These findings are helpful for the early identification of Alzheimer's disease and for developing generalized and individualized prevention and intervention strategies.
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Affiliation(s)
- Meina Quan
- grid.413259.80000 0004 0632 3337Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China ,National Center for Neurological Disorders and National Clinical Research Center for Geriatric Diseases, Beijing, China ,grid.24696.3f0000 0004 0369 153XClinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, China ,grid.24696.3f0000 0004 0369 153XBeijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, China ,grid.24696.3f0000 0004 0369 153XCenter of Alzheimer’s Disease, Beijing Institute for Brain Disorders, Beijing, China ,grid.419897.a0000 0004 0369 313XKey Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, China
| | - Qi Wang
- grid.413259.80000 0004 0632 3337Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China ,National Center for Neurological Disorders and National Clinical Research Center for Geriatric Diseases, Beijing, China ,grid.24696.3f0000 0004 0369 153XClinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, China ,grid.24696.3f0000 0004 0369 153XBeijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, China ,grid.24696.3f0000 0004 0369 153XCenter of Alzheimer’s Disease, Beijing Institute for Brain Disorders, Beijing, China ,grid.419897.a0000 0004 0369 313XKey Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, China
| | - Wei Qin
- grid.413259.80000 0004 0632 3337Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China ,National Center for Neurological Disorders and National Clinical Research Center for Geriatric Diseases, Beijing, China ,grid.24696.3f0000 0004 0369 153XClinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, China ,grid.24696.3f0000 0004 0369 153XBeijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, China ,grid.24696.3f0000 0004 0369 153XCenter of Alzheimer’s Disease, Beijing Institute for Brain Disorders, Beijing, China ,grid.419897.a0000 0004 0369 313XKey Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, China
| | - Wei Wang
- grid.413259.80000 0004 0632 3337Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China ,National Center for Neurological Disorders and National Clinical Research Center for Geriatric Diseases, Beijing, China ,grid.24696.3f0000 0004 0369 153XClinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, China ,grid.24696.3f0000 0004 0369 153XBeijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, China ,grid.24696.3f0000 0004 0369 153XCenter of Alzheimer’s Disease, Beijing Institute for Brain Disorders, Beijing, China ,grid.419897.a0000 0004 0369 313XKey Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, China
| | - Fangyu Li
- grid.413259.80000 0004 0632 3337Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China ,National Center for Neurological Disorders and National Clinical Research Center for Geriatric Diseases, Beijing, China ,grid.24696.3f0000 0004 0369 153XClinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, China ,grid.24696.3f0000 0004 0369 153XBeijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, China ,grid.24696.3f0000 0004 0369 153XCenter of Alzheimer’s Disease, Beijing Institute for Brain Disorders, Beijing, China ,grid.419897.a0000 0004 0369 313XKey Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, China
| | - Tan Zhao
- grid.413259.80000 0004 0632 3337Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China ,National Center for Neurological Disorders and National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Tingting Li
- grid.413259.80000 0004 0632 3337Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China ,National Center for Neurological Disorders and National Clinical Research Center for Geriatric Diseases, Beijing, China ,grid.24696.3f0000 0004 0369 153XClinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, China ,grid.24696.3f0000 0004 0369 153XBeijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, China ,grid.24696.3f0000 0004 0369 153XCenter of Alzheimer’s Disease, Beijing Institute for Brain Disorders, Beijing, China ,grid.419897.a0000 0004 0369 313XKey Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, China
| | - Qiongqiong Qiu
- grid.413259.80000 0004 0632 3337Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China ,National Center for Neurological Disorders and National Clinical Research Center for Geriatric Diseases, Beijing, China ,grid.24696.3f0000 0004 0369 153XClinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, China ,grid.24696.3f0000 0004 0369 153XBeijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, China ,grid.24696.3f0000 0004 0369 153XCenter of Alzheimer’s Disease, Beijing Institute for Brain Disorders, Beijing, China ,grid.419897.a0000 0004 0369 313XKey Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, China
| | - Shuman Cao
- grid.413259.80000 0004 0632 3337Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China ,National Center for Neurological Disorders and National Clinical Research Center for Geriatric Diseases, Beijing, China ,grid.24696.3f0000 0004 0369 153XClinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, China ,grid.24696.3f0000 0004 0369 153XBeijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, China ,grid.24696.3f0000 0004 0369 153XCenter of Alzheimer’s Disease, Beijing Institute for Brain Disorders, Beijing, China ,grid.419897.a0000 0004 0369 313XKey Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, China
| | - Shiyuan Wang
- grid.413259.80000 0004 0632 3337Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China ,National Center for Neurological Disorders and National Clinical Research Center for Geriatric Diseases, Beijing, China ,grid.24696.3f0000 0004 0369 153XClinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, China ,grid.24696.3f0000 0004 0369 153XBeijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, China ,grid.24696.3f0000 0004 0369 153XCenter of Alzheimer’s Disease, Beijing Institute for Brain Disorders, Beijing, China ,grid.419897.a0000 0004 0369 313XKey Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, China
| | - Yan Wang
- grid.413259.80000 0004 0632 3337Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China ,National Center for Neurological Disorders and National Clinical Research Center for Geriatric Diseases, Beijing, China ,grid.24696.3f0000 0004 0369 153XClinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, China ,grid.24696.3f0000 0004 0369 153XBeijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, China ,grid.24696.3f0000 0004 0369 153XCenter of Alzheimer’s Disease, Beijing Institute for Brain Disorders, Beijing, China ,grid.419897.a0000 0004 0369 313XKey Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, China
| | - Hongmei Jin
- grid.413259.80000 0004 0632 3337Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China ,National Center for Neurological Disorders and National Clinical Research Center for Geriatric Diseases, Beijing, China ,grid.24696.3f0000 0004 0369 153XClinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, China ,grid.24696.3f0000 0004 0369 153XBeijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, China ,grid.24696.3f0000 0004 0369 153XCenter of Alzheimer’s Disease, Beijing Institute for Brain Disorders, Beijing, China ,grid.419897.a0000 0004 0369 313XKey Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, China
| | - Aihong Zhou
- grid.413259.80000 0004 0632 3337Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China ,National Center for Neurological Disorders and National Clinical Research Center for Geriatric Diseases, Beijing, China ,grid.24696.3f0000 0004 0369 153XClinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, China ,grid.24696.3f0000 0004 0369 153XBeijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, China ,grid.24696.3f0000 0004 0369 153XCenter of Alzheimer’s Disease, Beijing Institute for Brain Disorders, Beijing, China ,grid.419897.a0000 0004 0369 313XKey Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, China
| | - Jiliang Fang
- grid.464297.aGuang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Longfei Jia
- grid.413259.80000 0004 0632 3337Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China ,National Center for Neurological Disorders and National Clinical Research Center for Geriatric Diseases, Beijing, China ,grid.24696.3f0000 0004 0369 153XClinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, China ,grid.24696.3f0000 0004 0369 153XBeijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, China ,grid.24696.3f0000 0004 0369 153XCenter of Alzheimer’s Disease, Beijing Institute for Brain Disorders, Beijing, China ,grid.419897.a0000 0004 0369 313XKey Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, China
| | - Jianping Jia
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China. .,National Center for Neurological Disorders and National Clinical Research Center for Geriatric Diseases, Beijing, China. .,Clinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, China. .,Beijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, China. .,Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, China. .,Key Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, China.
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20
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Wiggins M, McEwen A, Sexton A. Young-onset dementia: A systematic review of the psychological and social impact on relatives. PATIENT EDUCATION AND COUNSELING 2023; 107:107585. [PMID: 36516659 DOI: 10.1016/j.pec.2022.107585] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Revised: 11/28/2022] [Accepted: 11/28/2022] [Indexed: 06/17/2023]
Abstract
OBJECTIVE Young-onset dementia (YOD) has significant impact for the affected person, but also has far-reaching effects on the family. Additionally, biological relatives have an increased genetic risk of developing the condition themselves. This review aimed to identify the psychological and social impacts of YOD in the family, for asymptomatic relatives. METHODS A systematic review of key databases for empirical studies about the lived experience of biological relatives at risk for YOD was performed. Data was collated and interpreted via narrative synthesis. RESULTS The majority of the nineteen included studies were qualitative and explored the experiences of children with a parent with YOD. Five themes were developed: (1) Onset of YOD disrupts family functioning (2) Emotional impact is significant and varied (3) Uncertain future (due to uncertainty of diagnosis, care-giving responsibilities, and their own increased genetic risk) (4) Lack of visibility in health care and society (5) Coping strategies include physical/cognitive distancing, and emotion-focused coping. CONCLUSION Our findings demonstrate a diagnosis of YOD significantly impacts the lives of relatives, yet their experiences and needs often go unnoticed. PRACTICE IMPLICATIONS We present a practical framework of questions and strategies for care of relatives, mapped to the self-regulation model of genetic counselling.
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Affiliation(s)
- Maddison Wiggins
- Graduate School of Health, University of Technology Sydney, Ultimo, NSW, Australia.
| | - Alison McEwen
- Graduate School of Health, University of Technology Sydney, Ultimo, NSW, Australia
| | - Adrienne Sexton
- Graduate School of Health, University of Technology Sydney, Ultimo, NSW, Australia; Genomic Medicine Department, The Royal Melbourne Hospital, Parkville, VIC, Australia; Department of Medicine Royal Melbourne Hospital, The University of Melbourne, Parkville, VIC, Australia
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21
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Blasco D, Roberts JS. Editorial: Implications of Emerging Uses of Genetic Testing for Alzheimer's Disease. J Prev Alzheimers Dis 2023; 10:359-361. [PMID: 37357275 PMCID: PMC10829050 DOI: 10.14283/jpad.2023.46] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/27/2023]
Affiliation(s)
- D Blasco
- Drew Blasco, Department of Health Behavior and Health Education, School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, MI 48109,
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22
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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: 1.0] [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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23
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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: 2.0] [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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24
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Pérez Palmer N, Trejo Ortega B, Joshi P. Cognitive Impairment in Older Adults: Epidemiology, Diagnosis, and Treatment. Psychiatr Clin North Am 2022; 45:639-661. [PMID: 36396270 DOI: 10.1016/j.psc.2022.07.010] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Cognitive impairment and dementia affect dozens of millions of people worldwide and cause significant distress to patients and caregivers and a financial burden to families and health care systems. Careful history-taking, cognitive and physical examination, and supplemental neuroimaging and fluid-based biomarkers can accurately diagnose neurocognitive disorders. Management includes non-pharmacological and pharmacological treatments tailored to the etiology and to the individual.
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Affiliation(s)
- Nicolás Pérez Palmer
- Department of Psychiatry, Yale School of Medicine, 300 George Street, Suite 901, New Haven, CT 06511, USA.
| | - Barbara Trejo Ortega
- Department of Psychiatry, Yale School of Medicine, 300 George Street, Suite 901, New Haven, CT 06511, USA
| | - Pallavi Joshi
- Banner Alzheimer's Institute, 901 East Willeta Street, Phoenix, AZ 85006, USA; Department of Psychiatry, University of Arizona College of Medicine-Phoenix, 475 North 5th, Phoenix, AZ 85004, USA
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25
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Shibata Y, Matsushima M, Kato M, Chang H, Nakamura K, Oda K, Yoshida K, Sekijima Y, Toda T, Yabe I. [National survey of presymptomatic genetic testing for adult-onset hereditary neuromuscular diseases-system development for after the establishment of therapies]. Rinsho Shinkeigaku 2022; 62:773-780. [PMID: 36184415 DOI: 10.5692/clinicalneurol.cn-001771] [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: 06/16/2023]
Abstract
As therapies for hereditary neuromuscular diseases are developed, the need for presymptomatic genetic testing and genetic counseling for early treatment is expected to increase. In Japan, there is no uniformly recommended protocol for presymptomatic genetic testing. In order to provide basic data for the establishment of a presymptomatic genetic testing system, we surveyed medical genetics departments in Japan about their current status (response rate: 67.4%). The questionnaire survey revealed that approximately 60% of facilities had established their own procedures for presymptomatic genetic testing, but the approaches used varied from facility to facility. The interview survey enabled us to identify the essential factors for the establishment of a presymptomatic genetic testing system for each case, each facility, and at the overall level. In the future, there is a need to develop a standardized protocol to help establish a presymptomatic genetic testing system.
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Affiliation(s)
- Yuka Shibata
- Division of Clinical Genetics, Hokkaido University Hospital
| | - Masaaki Matsushima
- Division of Clinical Genetics, Hokkaido University Hospital
- Department of Neurology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University
| | - Momoko Kato
- Division of Clinical Genetics, Hokkaido University Hospital
| | - Hyangri Chang
- Department of Genomic Medicine, The University of Tokyo Hospital
| | - Katsuya Nakamura
- Center for Medical Genetics, Shinshu University Hospital
- Department of Medicine (Neurology and Rheumatology), Shinshu University School of Medicine
| | - Katsutoshi Oda
- Department of Genomic Medicine, The University of Tokyo Hospital
| | - Kunihiro Yoshida
- Department of Neurology, Kakeyu Hospital, Kakeyu-Misayama Rehabilitation Center
| | - Yoshiki Sekijima
- Department of Medicine (Neurology and Rheumatology), Shinshu University School of Medicine
| | - Tatsushi Toda
- Department of Genomic Medicine, The University of Tokyo Hospital
- Department of Neurology, Graduate School of Medicine, University of Tokyo
| | - Ichiro Yabe
- Division of Clinical Genetics, Hokkaido University Hospital
- Department of Neurology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University
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26
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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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27
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Caprioglio C, Garibotto V, Jessen F, Frölich L, Allali G, Assal F, Frisoni GB, Altomare D. The Clinical Use of Alzheimer's Disease Biomarkers in Patients with Mild Cognitive Impairment: A European Alzheimer's Disease Consortium Survey. J Alzheimers Dis 2022; 89:535-551. [PMID: 35912743 PMCID: PMC9535580 DOI: 10.3233/jad-220333] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
BACKGROUND Recent advances occurred in the field of Alzheimer's disease (AD) biomarkers and the introduction of a research framework grounded on a biomarker-based definition of AD might have fostered an increased clinical use of AD biomarkers. For this reason, an up-to-date depiction of the clinical use of AD biomarkers is needed. OBJECTIVE To investigate the clinical use of the main AD biomarkers in patients with mild cognitive impairment (MCI) by examining the beliefs and preferences of professionals (clinicians and biomarker experts) of the European Alzheimer's Disease Consortium (EADC). METHODS 150 professionals filled in an online survey from May to September 2020. The investigated biomarkers were medial temporal lobe atrophy score (MTA) on structural MRI, typical AD (i.e., temporoparietal and posterior cingulate) hypometabolism on FDG-PET, CSF (Aβ42, p-tau, t-tau), amyloid-PET and tau-PET. RESULTS The frequency of responders reporting a frequent-to-constant use of MTA (77%) is higher than that of those reporting a frequent-to-constant use of the other AD biomarkers (i.e. , CSF 45%, p = 0.014; FDG-PET: 32%, p < 0.001; amyloid-PET: 8%, p < 0.001; and tau-PET: 2%, p < 0.001). CSF is considered the most valuable biomarker in terms of additional diagnostic value, followed by amyloid-PET, tau-PET, and typical AD hypometabolism on FDG-PET. CONCLUSION AD biomarkers are widely used across European memory clinics with a clinical research background for the diagnosis of MCI. Overall, we observed that CSF is currently considered as the most useful biomarker, followed by amyloid-PET.
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Affiliation(s)
- Camilla Caprioglio
- Laboratory of Neuroimaging of Aging (LANVIE), University of Geneva, Geneva, Switzerland,Geneva Memory Center, Geneva University Hospitals, Geneva, Switzerland
| | - Valentina Garibotto
- Laboratory of Neuroimaging and Innovative Molecular Tracers (NIMTlab), Geneva University Neurocenter and Faculty of Medicine, University of Geneva, Geneva, Switzerland,Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospitals, Geneva, Switzerland
| | - Frank Jessen
- Department of Psychiatry, University Hospital and Medical Faculty, University of Cologne, Cologne, Germany,German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Lutz Frölich
- Department of Geriatric Psychiatry, Central Institute for Mental Health, University of Heidelberg, Mannheim, Germany
| | - Gilles Allali
- Division of Neurology, Department of Clinical Neurosciences, Geneva University Hospitals and Faculty of Medicine, Geneva, Switzerland,Department of Neurology, Division of Cognitive & Motor Aging, Albert Einstein College of Medicine, Yeshiva University, Bronx, NY, USA
| | - Frédéric Assal
- Division of Neurology, Department of Clinical Neurosciences, Geneva University Hospitals and Faculty of Medicine, Geneva, Switzerland
| | - Giovanni B. Frisoni
- Laboratory of Neuroimaging of Aging (LANVIE), University of Geneva, Geneva, Switzerland,Geneva Memory Center, Geneva University Hospitals, Geneva, Switzerland
| | - Daniele Altomare
- Laboratory of Neuroimaging of Aging (LANVIE), University of Geneva, Geneva, Switzerland,Geneva Memory Center, Geneva University Hospitals, Geneva, Switzerland,Correspondence to: Daniele Altomare, PhD, Memory Clinic, Geneva University Hospitals, Rue Gabrielle-Perret-Gentil 6, 1205 Geneva, Switzerland. Tel.: +41 22 372 58 00; E-mail:
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Paranjpe MD, Chaffin M, Zahid S, Ritchie S, Rotter JI, Rich SS, Gerszten R, Guo X, Heckbert S, Tracy R, Danesh J, Lander ES, Inouye M, Kathiresan S, Butterworth AS, Khera AV. Neurocognitive trajectory and proteomic signature of inherited risk for Alzheimer's disease. PLoS Genet 2022; 18:e1010294. [PMID: 36048760 PMCID: PMC9436054 DOI: 10.1371/journal.pgen.1010294] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Accepted: 06/14/2022] [Indexed: 11/18/2022] Open
Abstract
For Alzheimer's disease-a leading cause of dementia and global morbidity-improved identification of presymptomatic high-risk individuals and identification of new circulating biomarkers are key public health needs. Here, we tested the hypothesis that a polygenic predictor of risk for Alzheimer's disease would identify a subset of the population with increased risk of clinically diagnosed dementia, subclinical neurocognitive dysfunction, and a differing circulating proteomic profile. Using summary association statistics from a recent genome-wide association study, we first developed a polygenic predictor of Alzheimer's disease comprised of 7.1 million common DNA variants. We noted a 7.3-fold (95% CI 4.8 to 11.0; p < 0.001) gradient in risk across deciles of the score among 288,289 middle-aged participants of the UK Biobank study. In cross-sectional analyses stratified by age, minimal differences in risk of Alzheimer's disease and performance on a digit recall test were present according to polygenic score decile at age 50 years, but significant gradients emerged by age 65. Similarly, among 30,541 participants of the Mass General Brigham Biobank, we again noted no significant differences in Alzheimer's disease diagnosis at younger ages across deciles of the score, but for those over 65 years we noted an odds ratio of 2.0 (95% CI 1.3 to 3.2; p = 0.002) in the top versus bottom decile of the polygenic score. To understand the proteomic signature of inherited risk, we performed aptamer-based profiling in 636 blood donors (mean age 43 years) with very high or low polygenic scores. In addition to the well-known apolipoprotein E biomarker, this analysis identified 27 additional proteins, several of which have known roles related to disease pathogenesis. Differences in protein concentrations were consistent even among the youngest subset of blood donors (mean age 33 years). Of these 28 proteins, 7 of the 8 proteins with concentrations available were similarly associated with the polygenic score in participants of the Multi-Ethnic Study of Atherosclerosis. These data highlight the potential for a DNA-based score to identify high-risk individuals during the prolonged presymptomatic phase of Alzheimer's disease and to enable biomarker discovery based on profiling of young individuals in the extremes of the score distribution.
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Affiliation(s)
- Manish D. Paranjpe
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America
| | - Mark Chaffin
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America
| | - Sohail Zahid
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America
| | - Scott Ritchie
- Cambridge Baker Systems Genomics Initiative, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
- Cambridge Baker Systems Genomics Initiative, Baker Heart & Diabetes Institute, Melbourne, Victoria, Australia
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
- British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, United Kingdom
- National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge and Cambridge University Hospitals, Cambridge, United Kingdom
| | - Jerome I. Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-University of California, Los Angeles Medical Center, Torrance, California, United States of America
| | - Stephen S. Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia, United States of America
| | - Robert Gerszten
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-University of California, Los Angeles Medical Center, Torrance, California, United States of America
| | - Susan Heckbert
- Department of Epidemiology, University of Washington, Seattle, Washington, United States of America
| | - Russ Tracy
- Department of Biochemistry, Larner College of Medicine, University of Vermont, Burlington, Vermont, United States of America
| | - John Danesh
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
- British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, United Kingdom
- National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge and Cambridge University Hospitals, Cambridge, United Kingdom
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, United Kingdom
- Department of Human Genetics, Wellcome Sanger Institute, Hinxton, United Kingdom
- National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge, United Kingdom
| | - Eric S. Lander
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America
- Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America
- Department of Systems Biology, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Michael Inouye
- Cambridge Baker Systems Genomics Initiative, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
- Cambridge Baker Systems Genomics Initiative, Baker Heart & Diabetes Institute, Melbourne, Victoria, Australia
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
- British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, United Kingdom
- National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge and Cambridge University Hospitals, Cambridge, United Kingdom
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, United Kingdom
- Department of Clinical Pathology, University of Melbourne, Parkville, Victoria, Australia
- The Alan Turing Institute, London, United Kingdom
| | - Sekar Kathiresan
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America
- Verve Therapeutics, Cambridge, Massachusetts, United States of America
- Division of Cardiology and Center for Genomic Medicine, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America
- Department of Medicine, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Adam S. Butterworth
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
- British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, United Kingdom
- National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge and Cambridge University Hospitals, Cambridge, United Kingdom
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, United Kingdom
- National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge, United Kingdom
| | - Amit V. Khera
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America
- Verve Therapeutics, Cambridge, Massachusetts, United States of America
- Division of Cardiology and Center for Genomic Medicine, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America
- Department of Medicine, Harvard Medical School, Boston, Massachusetts, United States of America
- * E-mail:
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Setty BA, Wusik K, Hammill AM. How we approach genetics in the diagnosis and management of vascular anomalies. Pediatr Blood Cancer 2022; 69 Suppl 3:e29320. [PMID: 36070212 DOI: 10.1002/pbc.29320] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 08/16/2021] [Accepted: 08/17/2021] [Indexed: 01/04/2023]
Abstract
Vascular anomalies are a heterogeneous group of disorders that are currently classified based on their clinical and histological characteristics. Over the past decade, there have been significant advances in molecular genetics that have led to identification of genetic alterations associated with vascular tumors, vascular malformations, and syndromes. Here, we describe known genetic alterations in vascular anomalies, discuss when and how to test, and examine how identification of causative genetic mutations provides for better management of these disorders through improved understanding of their pathogenesis and increasing use of targeted therapeutic agents in order to achieve better outcomes for our patients.
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Affiliation(s)
- Bhuvana A Setty
- Division of Hematology/Oncology/BMT, Nationwide Children's Hospital, and Department of Pediatrics, The Ohio State University, Columbus, Ohio, USA
| | - Katie Wusik
- Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Adrienne M Hammill
- Division of Hematology, Cancer and Blood Diseases Institute, Cincinnati Children's Hospital Medical Center, and Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
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Adji AS, Widjaja JS, Wardani VAK, Muhammad AH, Handajani F, Putra HBP, Rahman FS. A Review of CRISPR Cas9 for Alzheimer’s Disease: Treatment Strategies and Could target APOE e4, APP, and PSEN-1 Gene using CRISPR cas9 Prevent the Patient from Alzheimer’s Disease? Open Access Maced J Med Sci 2022. [DOI: 10.3889/oamjms.2022.9053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
A Review of CRISPR Cas9 for Alzheimer’s Disease: Treatment Strategies and Could target APOE e4, APP, and PSEN-1 Gene using CRISPR cas9 Prevent the Patient from Alzheimer’s Disease?
BACKGROUND: Alzheimer’s disease is a neurodegenerative disorder characterized by the formation of β-amyloid plaques and neurofibrillary tangles from hyperphosphorylated tau. Several studies suggest that targeting the deletion of the APOE e4, PSEN-1, and APP will reduce tau phosphorylation and Aβ protein accumulation, a crucial hypothesis for the causation of Alzheimer’s disease. APOE e4, PSEN-1, and APP with genome editing Clustered Regular interspersed Short Palindromic Repeats-CRISPR-related (CRISPR/Cas9) are thought to have therapeutic promise for Alzheimer’s disease.AIM: The purpose of this study was to determine whether targeting APOE e4, PSEN-1, and APP using CRISPR/Cas9 is an effective therapeutic and whether it has a long-term effect on Alzheimer’s disease.METHODS: The method used in this study summarized articles by examining the titles and abstracts of specific specified keywords. In this situation, the author picked the title and abstract that matched PubMed, Google Scholar, Science Direct, Cochrane, and the Frontiers in Neuroscience; this was followed by checking to see whether the paper was available in full-text. Eventually, the researcher will study the entire article to decide if it is valuable and relevant to the issue.RESULTS: CRISPR/Cas9 deletion of APOE e4, PSEN-1, and APP in induced pluripotent stem cells (iPSC’s) and g2576 mice as APP mutant models reduce tau phosphorylation and Aβ protein accumulation from neurofibrillary tangles and prevent cell death, vascular damage, and dementia. Furthermore, CRISPR/Cas9 deletion in APOE e4, PSEN-1, and APP improved neuronal cell resilience to oxidative stress and inflammation.CONCLUSION: APOE e4, PSEN-1, and APP deletion by genome editing CRISPR/Cas9 is effective to reduce tau phosphorylation and Aβ protein accumulation from neurofibrillary tangles, cell death, vascular damage, and dementia. However, further research is needed to determine the side effects and safety of its use.
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Abstract
PURPOSE OF REVIEW This article discusses the spectrum of genetic risk in familial and sporadic forms of early- and late-onset Alzheimer disease (AD). Recent work illuminating the complex genetic architecture of AD is discussed in the context of high and low risk and what is known in different populations. RECENT FINDINGS A small proportion of AD is autosomal dominant familial AD caused by variants in PSEN1, PSEN2, or APP, although more recently described rare genetic changes can also increase risk substantially over the general population, with odds ratios estimated at 2 to 4. APOE remains the strongest genetic risk factor for late-onset AD, and understanding the biology of APOE has yielded mechanistic insights and leads for therapeutic interventions. Genome-wide studies enabled by rapidly developing technologic advances in sequencing have identified numerous risk factors that have a low impact on risk but are widely shared throughout the population and involve a repertoire of cell pathways, again shining light on potential paths to intervention. Population studies aimed at defining and stratifying genetic AD risk have been informative, although they are not yet widely applicable clinically because the studies were not performed in people with diverse ancestry and ethnicity and thus population-wide data are lacking. SUMMARY The value of genetic information to practitioners in the clinic is distinct from information sought by researchers looking to identify novel therapeutic targets. It is possible to envision a future in which genetic stratification joins other biomarkers to facilitate therapeutic choices and inform prognosis. Genetics already has transformed our understanding of AD pathogenesis and will, no doubt, continue to reveal the complexity of brain biology in health and disease.
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Stage E, Risacher SL, Lane KA, Gao S, Nho K, Saykin AJ, Apostolova LG. Association of the top 20 Alzheimer's disease risk genes with [ 18F]flortaucipir PET. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2022; 14:e12308. [PMID: 35592828 PMCID: PMC9092485 DOI: 10.1002/dad2.12308] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Revised: 03/03/2022] [Accepted: 03/07/2022] [Indexed: 04/12/2023]
Abstract
Introduction We previously reported genetic associations of the top Alzheimer's disease (AD) risk alleles with amyloid deposition and neurodegeneration. Here, we report the association of these variants with [18F]flortaucipir standardized uptake value ratio (SUVR). Methods We analyzed the [18F]flortaucipir scans of 352 cognitively normal (CN), 160 mild cognitive impairment (MCI), and 54 dementia (DEM) participants from Alzheimer's Disease Neuroimaging Initiative (ADNI)2 and 3. We ran step-wise regression with log-transformed [18F]flortaucipir meta-region of interest SUVR as the outcome measure and genetic variants, age, sex, and apolipoprotein E (APOE) ε4 as predictors. The results were visualized using parametric mapping at familywise error cluster-level-corrected P < .05. Results APOE ε4 showed significant (P < .05) associations with tau deposition across all disease stages. Other significantly associated genes include variants in ABCA7 in CN, CR1 in MCI, BIN1 and CASS4 in MCI and dementia participants. Discussion We found significant associations to tau deposition for ABCA7, BIN1, CASS4, and CR1, in addition to APOE ε4. These four variants have been previously associated with tau metabolism through model systems.
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Affiliation(s)
- Eddie Stage
- Department of NeurologyIndiana University School of MedicineIndianapolisIndianaUSA
| | - Shannon L. Risacher
- Department of Radiology and Imaging SciencesIndiana University School of MedicineIndianapolisIndianaUSA
| | - Kathleen A. Lane
- Department of BiostatisticsIndiana University School of MedicineIndianapolisIndianaUSA
| | - Sujuan Gao
- Department of BiostatisticsIndiana University School of MedicineIndianapolisIndianaUSA
| | - Kwangsik Nho
- Department of Radiology and Imaging SciencesIndiana University School of MedicineIndianapolisIndianaUSA
| | - Andrew J. Saykin
- Department of NeurologyIndiana University School of MedicineIndianapolisIndianaUSA
- Department of Radiology and Imaging SciencesIndiana University School of MedicineIndianapolisIndianaUSA
| | - Liana G. Apostolova
- Department of NeurologyIndiana University School of MedicineIndianapolisIndianaUSA
- Department of Radiology and Imaging SciencesIndiana University School of MedicineIndianapolisIndianaUSA
- Department of Medical and Molecular GeneticsIndiana University School of MedicineIndianapolisIndianaUSA
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Takada LT. Genetic investigation of dementias in clinical practice. ARQUIVOS DE NEURO-PSIQUIATRIA 2022; 80:36-41. [PMID: 35976293 PMCID: PMC9491423 DOI: 10.1590/0004-282x-anp-2022-s103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/13/2022] [Accepted: 04/29/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND The field of neurodegenerative dementia genetics has advanced significantly over the past two decades, but there are still more to be discovered (such as the gene mutation in some familial forms of dementia). OBJECTIVE to provide a brief review of the most recent discoveries regarding monogenic dementia, and covering the most frequent genetic diseases that can cause dementia (neurodegenerative or not). METHODS a review of the literature will be carried out. RESULTS neurodegenerative dementias, vascular dementias and leukoencephalopathies caused by single pathogenic variants are presented. CONCLUSION The spectrum of clinical presentations for most of the genes discussed is wide, and hence genetic testing in clinic should try to cover as many genes as possible.
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Affiliation(s)
- Leonel Tadao Takada
- , Faculdade de Medicina, Hospital das Clinicas, Divisão de Clínica Neurológica, São Paulo SP, Brazil
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What contribution can genetics make to predict the risk of Alzheimer's disease? Rev Neurol (Paris) 2022; 178:414-421. [PMID: 35491248 DOI: 10.1016/j.neurol.2022.03.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2022] [Accepted: 03/08/2022] [Indexed: 11/20/2022]
Abstract
Alzheimer's disease (AD) is the most common neurodegenerative disorder. Although its etiology remains incompletely understood, genetic variants are important contributors. The prediction of AD risk through individual genetic variants is an important topic of research that may have individual and societal consequences when preventive treatments will become available. However, the genetic substratum of AD is heterogeneous. In addition to the extremely rare and fully penetrant pathogenic variants of the PSEN1, PSEN2 or APP genes causing autosomal dominant AD, a large spectrum of risk factors have been identified in complex forms, including the common risk factor APOEɛ4, which is associated with a moderate-to-high risk, common polymorphisms associated with a modest individual risk, and a plethora of rare variants in genes like SORL1, TREM2 or ABCA7 with moderate to high-magnitude effect. Understanding how these genetic factors contribute to AD risk in a given individual, in additional to non-genetic factors, remains a challenge. Over the last 10 years, age-related penetrance curves have progressively incorporated advances in the knowledge of AD genetics, from APOE to common polygenic components and, currently, SORL1 rare variants, which represents an important step towards precision medicine in AD. In this review, we present the complex genetic architecture of AD and we expose the prediction of AD risk according to its underlying genetic component.
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Galluzzi S, Mega A, Di Fede G, Muscio C, Fascendini S, Benussi L, Tagliavini F, Frisoni GB, Di Maria E. Psychological Impact of Predictive Genetic Testing for Inherited Alzheimer Disease and Frontotemporal Dementia: The IT-DIAfN Protocol. Alzheimer Dis Assoc Disord 2022; 36:118-124. [PMID: 35293381 PMCID: PMC9132242 DOI: 10.1097/wad.0000000000000494] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Accepted: 12/22/2021] [Indexed: 11/26/2022]
Abstract
AIM Our aim was to evaluate the psychological impact of predictive genetic testing in individuals at-risk for inherited dementia who underwent a structured counseling and testing protocol. METHODS Participants were healthy at-risk relatives from families with at least one affected patient, in whom a disease-associated genetic variant had been ascertained. A comprehensive psychological assessment (personality, anxiety and depression, quality of life, coping strategies, resilience and health-related beliefs) was administered at baseline, at 6 months and 12 months follow-up. RESULTS Twenty-four participants from 13 families were included. Sixteen participants underwent blood sampling and genetic analysis; 6 resulted to be carriers of pathogenic variants (1 in PSEN1, 1 in PSEN2, 4 in GRN). Carriers showed higher score on the Resilience Scale for Adults (RSA) - social competence, and on Multidimensional Health Locus of Control - internal, than noncarriers (P=0.03 for both). Ten at-risk relatives who completed the follow-up showed improvement in RSA - planned future (P=0.01) with respect to baseline. DISCUSSION Our case series showed that at-risk individuals undergoing predictive testing showed benefit on personal life and no detrimental impact on a broad range of psychological outcomes. Higher social skills and lower internal health locus of control in carriers may be an early psychological correlate of preclinical dementia.
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Affiliation(s)
| | - Anna Mega
- Laboratory Alzheimer’s Neuroimaging and Epidemiology
| | - Giuseppe Di Fede
- Neurology V – Neuropathology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milano
| | - Cristina Muscio
- Neurology V – Neuropathology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milano
| | | | - Luisa Benussi
- Molecular Markers Laboratory, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia
| | - Fabrizio Tagliavini
- Scientific Directorate, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milano
| | | | - Giovanni B. Frisoni
- Laboratory Alzheimer’s Neuroimaging and Epidemiology
- Memory Clinic, Department of Rehabilitation and Geriatrics, University Hospitals and University of Geneva, Genève, Switzerland
| | - Emilio Di Maria
- Department of Health Sciences, University of Genoa
- Unit of Medical Genetics, Galliera Hospital, Genoa
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Abstract
This article describes the public health impact of Alzheimer's disease (AD), including incidence and prevalence, mortality and morbidity, use and costs of care, and the overall impact on family caregivers, the dementia workforce and society. The Special Report discusses consumers' and primary care physicians' perspectives on awareness, diagnosis and treatment of mild cognitive impairment (MCI), including MCI due to Alzheimer's disease. An estimated 6.5 million Americans age 65 and older are living with Alzheimer's dementia today. This number could grow to 13.8 million by 2060 barring the development of medical breakthroughs to prevent, slow or cure AD. Official death certificates recorded 121,499 deaths from AD in 2019, the latest year for which data are available. Alzheimer's disease was officially listed as the sixth-leading cause of death in the United States in 2019 and the seventh-leading cause of death in 2020 and 2021, when COVID-19 entered the ranks of the top ten causes of death. Alzheimer's remains the fifth-leading cause of death among Americans age 65 and older. Between 2000 and 2019, deaths from stroke, heart disease and HIV decreased, whereas reported deaths from AD increased more than 145%. More than 11 million family members and other unpaid caregivers provided an estimated 16 billion hours of care to people with Alzheimer's or other dementias in 2021. These figures reflect a decline in the number of caregivers compared with a decade earlier, as well as an increase in the amount of care provided by each remaining caregiver. Unpaid dementia caregiving was valued at $271.6 billion in 2021. Its costs, however, extend to family caregivers' increased risk for emotional distress and negative mental and physical health outcomes - costs that have been aggravated by COVID-19. Members of the dementia care workforce have also been affected by COVID-19. As essential care workers, some have opted to change jobs to protect their own health and the health of their families. However, this occurs at a time when more members of the dementia care workforce are needed. Average per-person Medicare payments for services to beneficiaries age 65 and older with AD or other dementias are almost three times as great as payments for beneficiaries without these conditions, and Medicaid payments are more than 22 times as great. Total payments in 2022 for health care, long-term care and hospice services for people age 65 and older with dementia are estimated to be $321 billion. A recent survey commissioned by the Alzheimer's Association revealed several barriers to consumers' understanding of MCI. The survey showed low awareness of MCI among Americans, a reluctance among Americans to see their doctor after noticing MCI symptoms, and persistent challenges for primary care physicians in diagnosing MCI. Survey results indicate the need to improve MCI awareness and diagnosis, especially in underserved communities, and to encourage greater participation in MCI-related clinical trials.
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Largent EA, Bradbury AR. Bringing Alzheimer Disease Testing and Results Disclosure Into the 21st Century Cures Act. JAMA Neurol 2022; 79:219-220. [PMID: 34982103 PMCID: PMC8923901 DOI: 10.1001/jamaneurol.2021.4851] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Affiliation(s)
- Emily A Largent
- Department of Medical Ethics and Health Policy, University of Pennsylvania Perelman School of Medicine, Philadelphia
| | - Angela R Bradbury
- Department of Medicine, Department of Medical Ethics and Health Policy, University of Pennsylvania Perelman School of Medicine, Philadelphia
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Karaboğa MNS, Sezgintürk MK. Biosensor approaches on the diagnosis of neurodegenerative diseases: Sensing the past to the future. J Pharm Biomed Anal 2022; 209:114479. [PMID: 34861607 DOI: 10.1016/j.jpba.2021.114479] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Revised: 11/05/2021] [Accepted: 11/14/2021] [Indexed: 12/12/2022]
Abstract
Early diagnosis of neurodegeneration-oriented diseases that develop with the aging world is essential for improving the patient's living conditions as well as the treatment of the disease. Alzheimer's and Parkinson's diseases are prominent examples of neurodegeneration characterized by dementia leading to the death of nerve cells. The clinical diagnosis of these diseases only after the symptoms appear, delays the treatment process. Detection of biomarkers, which are distinctive molecules in biological fluids, involved in neurodegeneration processes, has the potential to allow early diagnosis of neurodegenerative diseases. Studies on biosensors, whose main responsibility is to detect the target analyte with high specificity, has gained momentum in recent years with the aim of high detection of potential biomarkers of neurodegeneration process. This study aims to provide an overview of neuro-biosensors developed on the basis of biomarkers identified in biological fluids for the diagnosis of neurodegenerative diseases such as Alzheimer's disease (AD), and Parkinson's disease (PD), and to provide an overview of the urgent needs in this field, emphasizing the importance of early diagnosis in the general lines of the neurodegeneration pathway. In this review, biosensor systems developed for the detection of biomarkers of neurodegenerative diseases, especially in the last 5 years, are discussed.
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Marde VS, Atkare UA, Gawali SV, Tiwari PL, Badole SP, Wankhede NL, Taksande BG, Upaganlawar AB, Umekar MJ, Kale MB. Alzheimer's disease and sleep disorders: Insights into the possible disease connections and the potential therapeutic targets. Asian J Psychiatr 2022; 68:102961. [PMID: 34890930 DOI: 10.1016/j.ajp.2021.102961] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Revised: 11/04/2021] [Accepted: 11/29/2021] [Indexed: 12/18/2022]
Abstract
One of the comorbid conditions in an individual with Alzheimer's disease is a sleep disorder. Clinical features of sleep disorders involve various sleep disturbances such as Obstructive Sleep Apnea (OSAS), Excessive Daytime Sleepiness (EDS), Rapid Eye Movement (REM), Breathing Disorders, Periodic limb movements in sleep (PLMS), etc. The primary tools used for the identification of such disturbances are Polysomnography (PSG) and Wrist actigraphy. This review will highlight and explains the different approaches used in the treatment of sleep disorders. Non-pharmacological treatments include Peter Hauri rules, sleep education program, and light therapy which play a key role in the regulation of sleep-wake cycles. Pharmacological therapy described in this article may be useful in treating sleep destruction in patients with Alzheimer's disease. Along with the Non-pharmacological and pharmacological treatment, here we discuss five commonly recognized plant-based nutraceuticals with hypothesized impact on sleep disorders: caffeine, chamomile, cherries, L-tryptophan, and valerian by the proper emphasis on the known mechanism of their action.
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Affiliation(s)
- Vaibhav S Marde
- National Institute of Pharmaceutical Education and Research, Hyderabad, Telangana, India
| | - Utkarsha A Atkare
- Institute of Pharmaceutical Education and Research, Borgaon (Meghe), Wardha, India
| | - Shweta V Gawali
- University Department of Pharmaceutical Science, Nagpur, India
| | - Prerna L Tiwari
- Springer Nature Technology and Publishing Solutions (SNTPS), India
| | | | - Nitu L Wankhede
- Smt. Kishoritai Bhoyar College of Pharmacy, New Kamptee, 441002 Nagpur, Maharashtra, India
| | - Brijesh G Taksande
- Smt. Kishoritai Bhoyar College of Pharmacy, New Kamptee, 441002 Nagpur, Maharashtra, India
| | - Aman B Upaganlawar
- SNJB's Shriman Sureshdada Jain College of Pharmacy, Neminagar, Chandwad, Nashik 423101, India
| | - Milind J Umekar
- Smt. Kishoritai Bhoyar College of Pharmacy, New Kamptee, 441002 Nagpur, Maharashtra, India
| | - Mayur B Kale
- Smt. Kishoritai Bhoyar College of Pharmacy, New Kamptee, 441002 Nagpur, Maharashtra, India.
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Maneval J, Woods JK, Feany MB, Miller MB, Silbersweig DA, Gale SA, Daffner KR, McGinnis SM. Case Study 3: A 58-Year-Old Woman Referred for Evaluation of Suspected Alzheimer Dementia. J Neuropsychiatry Clin Neurosci 2022; 34:307-315. [PMID: 36239480 PMCID: PMC9823288 DOI: 10.1176/appi.neuropsych.20220113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Jeffrey Maneval
- Department of Neurology (Maneval, Silbersweig, Gale, Daffner, McGinnis) and Department of Psychiatry (Silbersweig), Center for Brain/Mind Medicine, and Department of Pathology (Woods, Feany, Miller), Brigham and Women’s Hospital, Harvard Medical School, Boston; Frontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston (McGinnis)
| | - Jared K. Woods
- Department of Neurology (Maneval, Silbersweig, Gale, Daffner, McGinnis) and Department of Psychiatry (Silbersweig), Center for Brain/Mind Medicine, and Department of Pathology (Woods, Feany, Miller), Brigham and Women’s Hospital, Harvard Medical School, Boston; Frontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston (McGinnis)
| | - Mel B. Feany
- Department of Neurology (Maneval, Silbersweig, Gale, Daffner, McGinnis) and Department of Psychiatry (Silbersweig), Center for Brain/Mind Medicine, and Department of Pathology (Woods, Feany, Miller), Brigham and Women’s Hospital, Harvard Medical School, Boston; Frontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston (McGinnis)
| | - Michael B. Miller
- Department of Neurology (Maneval, Silbersweig, Gale, Daffner, McGinnis) and Department of Psychiatry (Silbersweig), Center for Brain/Mind Medicine, and Department of Pathology (Woods, Feany, Miller), Brigham and Women’s Hospital, Harvard Medical School, Boston; Frontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston (McGinnis)
| | - David A. Silbersweig
- Department of Neurology (Maneval, Silbersweig, Gale, Daffner, McGinnis) and Department of Psychiatry (Silbersweig), Center for Brain/Mind Medicine, and Department of Pathology (Woods, Feany, Miller), Brigham and Women’s Hospital, Harvard Medical School, Boston; Frontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston (McGinnis)
| | - Seth A. Gale
- Department of Neurology (Maneval, Silbersweig, Gale, Daffner, McGinnis) and Department of Psychiatry (Silbersweig), Center for Brain/Mind Medicine, and Department of Pathology (Woods, Feany, Miller), Brigham and Women’s Hospital, Harvard Medical School, Boston; Frontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston (McGinnis)
| | - Kirk R. Daffner
- Department of Neurology (Maneval, Silbersweig, Gale, Daffner, McGinnis) and Department of Psychiatry (Silbersweig), Center for Brain/Mind Medicine, and Department of Pathology (Woods, Feany, Miller), Brigham and Women’s Hospital, Harvard Medical School, Boston; Frontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston (McGinnis)
| | - Scott M. McGinnis
- Department of Neurology (Maneval, Silbersweig, Gale, Daffner, McGinnis) and Department of Psychiatry (Silbersweig), Center for Brain/Mind Medicine, and Department of Pathology (Woods, Feany, Miller), Brigham and Women’s Hospital, Harvard Medical School, Boston; Frontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston (McGinnis)
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Rosen AC, Arias JJ, Ashford JW, Blacker D, Chhatwal JP, Chin NA, Clark L, Denny SS, Goldman JS, Gleason CE, Grill JD, Heidebrink JL, Henderson VW, Lavacot JA, Lingler JH, Menon M, Nosheny RL, Oliveira FF, Parker MW, Rahman-Filipiak A, Revoori A, Rumbaugh MC, Sanchez DL, Schindler SE, Schwarz CG, Toy L, Tyrone J, Walter S, Wang LS, Wijsman EM, Zallen DT, Aggarwal NT. The Advisory Group on Risk Evidence Education for Dementia: Multidisciplinary and Open to All. J Alzheimers Dis 2022; 90:953-962. [PMID: 35938255 PMCID: PMC9901285 DOI: 10.3233/jad-220458] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
The brain changes of Alzheimer's disease and other degenerative dementias begin long before cognitive dysfunction develops, and in people with subtle cognitive complaints, clinicians often struggle to predict who will develop dementia. The public increasingly sees benefits to accessing dementia risk evidence (DRE) such as biomarkers, predictive algorithms, and genetic information, particularly as this information moves from research to demonstrated usefulness in guiding diagnosis and clinical management. For example, the knowledge that one has high levels of amyloid in the brain may lead one to seek amyloid reducing medications, plan for disability, or engage in health promoting behaviors to fight cognitive decline. Researchers often hesitate to share DRE data, either because they are insufficiently validated or reliable for use in individuals, or there are concerns about assuring responsible use and ensuring adequate understanding of potential problems when one's biomarker status is known. Concerns include warning people receiving DRE about situations in which they might be compelled to disclose their risk status potentially leading to discrimination or stigma. The Advisory Group on Risk Evidence Education for Dementia (AGREEDementia) welcomes all concerned with how best to share and use DRE. Supporting understanding in clinicians, stakeholders, and people with or at risk for dementia and clearly delineating risks, benefits, and gaps in knowledge is vital. This brief overview describes elements that made this group effective as a model for other health conditions where there is interest in unfettered collaboration to discuss diagnostic uncertainty and the appropriate use and communication of health-related risk information.
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Affiliation(s)
- Allyson C. Rosen
- VA Medical Center-Palo Alto, Palo Alto, CA, USA,Stanford University, School of Medicine, Stanford, CA, USA,Correspondence to: Allyson C. Rosen, PhD, ABPP-CN, Mental Illness Research, Education and Clinical Center (MIRECC), Palo Alto VA Medical Center, 3801 Miranda Ave (151Y), Palo Alto, CA 94304-1207, USA. Tel.: +1 650 279 3949;
| | - Jalayne J. Arias
- School of Public Health Georgia State University, Atlanta, GA, USA
| | - J. Wesson Ashford
- VA Medical Center-Palo Alto, Palo Alto, CA, USA,Stanford University, School of Medicine, Stanford, CA, USA
| | - Deborah Blacker
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Nathan A. Chin
- University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Lindsay Clark
- University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Sharon S. Denny
- The Association for Frontotemporal Degeneration, King of Prussia, PA, USA
| | - Jill S. Goldman
- Columbia University Irving Medical Center, New York, NY, USA
| | - Carey E. Gleason
- University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | | | - Judith L. Heidebrink
- Michigan Alzheimer’s Disease Research Center, University of Michigan, Ann Arbor, MI, USA
| | - Victor W. Henderson
- Departments of Epidemiology & Population Health and of Neurology & Neurological Sciences, Stanford University, Stanford, CA, USA
| | | | | | | | - Rachel L. Nosheny
- Center for Imaging of Neurodegenerative Diseases, San Francisco Veterans Affairs Medical Center, San Francisco, CA, USA
| | | | - Monica W. Parker
- Emory Goizueta Alzheimer’s Disease Research Center, Atlanta, GA, USA
| | | | | | | | | | - Suzanne E. Schindler
- Department of Neurology, Washington University School of Medicine, Saint Louis, MO, USA
| | | | - Leslie Toy
- VA Medical Center-Palo Alto, Palo Alto, CA, USA
| | - Jamie Tyrone
- Beating Alzheimer’s by Embracing Science, Ramona, CA, USA
| | - Sarah Walter
- Alzheimer’s Therapeutic Research Institute/USC, San Diego, CA, USA
| | - Li-san Wang
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
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Abstract
Advances in biomarkers, genetics, and other data used as dementia risk evidence (DRE) are increasingly informing clinical diagnosis and management. The purpose of this Mini-Forum is to provide a solutions-based discussion of the ethical and legal gaps and practical questions about how to use and communicate these data. Investigators often use DRE in research. When participants ask for their personal results, investigators have concerns. Will data that was intended to study groups be valid for individuals? Will sharing data cause distress? Debates around sharing DRE became heated when blood-based amyloid tests and amyloid reducing drugs appeared poised to enable clinicians easily to identify people with elevated brain amyloid and reduce it with a drug. Such an approach would transform the traditional role of DRE from investigational to foundational; however, then the high costs, uncertain clinical benefits and risks of the therapy led to an urgent need for education to support clinical decision making. Further complicating DRE use are direct to consumer genetic testing and increasingly available biomarker testing. Withholding DRE becomes less feasible and public education around responsible use and understanding become vital. A critical answer to these legal and ethical issues is supporting education that clearly delineates known risks, benefits, and gaps in knowledge, and communication to promote understanding among researchers, clinicians, patients, and all stakeholders. This paper provides an overview and identifies general concepts and resource documents that support more informed discussions for individuals and interdisciplinary groups.
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Affiliation(s)
- Allyson C. Rosen
- VA Medical Center-Palo Alto, Palo Alto, CA, USA
- Stanford School of Medicine, Stanford, CA USA
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Mozersky J, Roberts JS, Rumbaugh M, Chhatwal J, Wijsman E, Galasko D, Blacker D. Spillover: The Approval of New Medications for Alzheimer's Disease Dementia Will Impact Biomarker Disclosure Among Asymptomatic Research Participants. J Alzheimers Dis 2022; 90:1035-1043. [PMID: 35404285 PMCID: PMC9794032 DOI: 10.3233/jad-220113] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
In this article we address how the recent, and anticipated upcoming, FDA approvals of novel anti-amyloid medications to treat individuals with mild Alzheimer's disease (AD) dementia could impact disclosure of biomarker results among asymptomatic research participants. Currently, research is typically the context where an asymptomatic individual may have the option to learn their amyloid biomarker status. Asymptomatic research participants who learn their amyloid status may have questions regarding the meaning of this result and the implications for accessing a potential intervention. After outlining our rationale, we provide examples of how current educational materials used in research convey messages regarding amyloid positivity and the availability of treatments, or lack thereof. We suggest language to improve messaging, as well as strengths of current materials, in addressing these issues for research participants. Although novel medications are currently only approved for use among symptomatic individuals, their availability may have implications for disclosure among asymptomatic research participants with evidence of amyloid deposition, who may be especially interested in information on these interventions for potential prevention, or future treatment, of mild cognitive impairment or dementia due to AD.
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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
| | - J. Scott Roberts
- Department of Health Behavior & Health Education, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Malia Rumbaugh
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Jasmeer Chhatwal
- Massachusetts General Hospital and Brigham and Women’s Hospitals, Harvard Medical School, Boston, MA, USA
| | - Ellen Wijsman
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA, USA
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Douglas Galasko
- Department of Neurosciences and ADRC, University of California San Diego, San Diego, CA, USA
| | - Deborah Blacker
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
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Vrijsen J, Abu-Hanna A, de Rooij SE, Smidt N. Association between dementia parental family history and mid-life modifiable risk factors for dementia: a cross-sectional study using propensity score matching within the Lifelines cohort. BMJ Open 2021; 11:e049918. [PMID: 34930728 PMCID: PMC8689157 DOI: 10.1136/bmjopen-2021-049918] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
OBJECTIVE Individuals with a parental family history (PFH) of dementia have an increased risk to develop dementia, regardless of genetic risks. The aim of this study is to investigate the association between a PFH of dementia and currently known modifiable risk factors for dementia among middle-aged individuals using propensity score matching (PSM). DESIGN A cross-sectional study. SETTING AND PARTICIPANTS A subsample of Lifelines (35-65 years), a prospective population-based cohort study in the Netherlands was used. OUTCOME MEASURES Fourteen modifiable risk factors for dementia and the overall Lifestyle for Brain Health (LIBRA) score, indicating someone's potential for dementia risk reduction (DRR). RESULTS The study population included 89 869 participants of which 10 940 (12.2%) had a PFH of dementia (mean (SD) age=52.95 (7.2)) and 36 389 (40.5%) without a PFH of dementia (mean (SD) age=43.19 (5.5)). Of 42 540 participants (47.3%), PFH of dementia was imputed. After PSM, potential confounding variables were balanced between individuals with and without PFH of dementia. Individuals with a PFH of dementia had more often hypertension (OR=1.19; 95% CI 1.14 to 1.24), high cholesterol (OR=1.24; 95% CI 1.18 to 1.30), diabetes (OR=1.26; 95% CI 1.11 to 1.42), cardiovascular diseases (OR=1.49; 95% CI 1.18 to 1.88), depression (OR=1.23; 95% CI 1.08 to 1.41), obesity (OR=1.14; 95% CI 1.08 to 1.20) and overweight (OR=1.10; 95% CI 1.05 to 1.17), and were more often current smokers (OR=1.20; 95% CI 1.14 to 1.27) and ex-smokers (OR=1.21; 95% CI 1.16 to 1.27). However, they were less often low/moderate alcohol consumers (OR=0.87; 95% CI 0.83 to 0.91), excessive alcohol consumers (OR=0.93; 95% CI 0.89 to 0.98), socially inactive (OR=0.84; 95% CI 0.78 to 0.90) and physically inactive (OR=0.93; 95% CI 0.91 to 0.97). Having a PFH of dementia resulted in a higher LIBRA score (RC=0.15; 95% CI 0.11 to 0.19). CONCLUSION We found that having a PFH of dementia was associated with several modifiable risk factors. This suggests that middle-aged individuals with a PFH of dementia are a group at risk and could benefit from DRR. Further research should explore their knowledge, beliefs and attitudes towards DRR, and whether they are willing to assess their risk and change their lifestyle to reduce dementia risk.
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Affiliation(s)
- Joyce Vrijsen
- Epidemiology, University of Groningen, University Medical Centre Groningen, Groningen, The Netherlands
| | - Ameen Abu-Hanna
- Medical Informatics, University of Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Sophia E de Rooij
- Internal Medicine, University of Groningen, University Medical Centre Groningen, Groningen, The Netherlands
| | - Nynke Smidt
- Epidemiology, University of Groningen, University Medical Centre Groningen, Groningen, The Netherlands
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Keathley J, Garneau V, Zavala-Mora D, Heister RR, Gauthier E, Morin-Bernier J, Green R, Vohl MC. A Systematic Review and Recommendations Around Frameworks for Evaluating Scientific Validity in Nutritional Genomics. Front Nutr 2021; 8:789215. [PMID: 35004815 PMCID: PMC8728558 DOI: 10.3389/fnut.2021.789215] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Accepted: 11/26/2021] [Indexed: 12/18/2022] Open
Abstract
Background: There is a significant lack of consistency used to determine the scientific validity of nutrigenetic research. The aims of this study were to examine existing frameworks used for determining scientific validity in nutrition and/or genetics and to determine which framework would be most appropriate to evaluate scientific validity in nutrigenetics in the future.Methods: A systematic review (PROSPERO registration: CRD42021261948) was conducted up until July 2021 using Medline, Embase, and Web of Science, with articles screened in duplicate. Gray literature searches were also conducted (June-July 2021), and reference lists of two relevant review articles were screened. Included articles provided the complete methods for a framework that has been used to evaluate scientific validity in nutrition and/or genetics. Articles were excluded if they provided a framework for evaluating health services/systems more broadly. Citing articles of the included articles were then screened in Google Scholar to determine if the framework had been used in nutrition or genetics, or both; frameworks that had not were excluded. Summary tables were piloted in duplicate and revised accordingly prior to synthesizing all included articles. Frameworks were critically appraised for their applicability to nutrigenetic scientific validity assessment using a predetermined categorization matrix, which included key factors deemed important by an expert panel for assessing scientific validity in nutrigenetics.Results: Upon screening 3,931 articles, a total of 49 articles representing 41 total frameworks, were included in the final analysis (19 used in genetics, 9 used in nutrition, and 13 used in both). Factors deemed important for evaluating nutrigenetic evidence related to study design and quality, generalizability, directness, consistency, precision, confounding, effect size, biological plausibility, publication/funding bias, allele and nutrient dose-response, and summary levels of evidence. Frameworks varied in the components of their scientific validity assessment, with most assessing study quality. Consideration of biological plausibility was more common in frameworks used in genetics. Dose-response effects were rarely considered. Two included frameworks incorporated all but one predetermined key factor important for nutrigenetic scientific validity assessment.Discussion/Conclusions: A single existing framework was highlighted as optimal for the rigorous evaluation of scientific validity in nutritional genomics, and minor modifications are proposed to strengthen it further.Systematic Review Registration:https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=261948, PROSPERO [CRD42021261948].
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Affiliation(s)
- Justine Keathley
- Centre Nutrition, Santé et Société (NUTRISS), Institut sur la Nutrition et les Aliments Fonctionnels (INAF), Université Laval, Québec City, QC, Canada
- School of Nutrition, Université Laval, Québec City, QC, Canada
- Mass General Brigham, Boston, MA, United States
- Ariadne Labs, Boston, MA, United States
- Harvard Medical School, Boston, MA, United States
- The Broad Institute, Boston, MA, United States
| | - Véronique Garneau
- Centre Nutrition, Santé et Société (NUTRISS), Institut sur la Nutrition et les Aliments Fonctionnels (INAF), Université Laval, Québec City, QC, Canada
- School of Nutrition, Université Laval, Québec City, QC, Canada
| | | | | | - Ellie Gauthier
- Centre Nutrition, Santé et Société (NUTRISS), Institut sur la Nutrition et les Aliments Fonctionnels (INAF), Université Laval, Québec City, QC, Canada
- School of Nutrition, Université Laval, Québec City, QC, Canada
| | - Josiane Morin-Bernier
- Centre Nutrition, Santé et Société (NUTRISS), Institut sur la Nutrition et les Aliments Fonctionnels (INAF), Université Laval, Québec City, QC, Canada
- School of Nutrition, Université Laval, Québec City, QC, Canada
| | - Robert Green
- Mass General Brigham, Boston, MA, United States
- Ariadne Labs, Boston, MA, United States
- Harvard Medical School, Boston, MA, United States
- The Broad Institute, Boston, MA, United States
| | - Marie-Claude Vohl
- Centre Nutrition, Santé et Société (NUTRISS), Institut sur la Nutrition et les Aliments Fonctionnels (INAF), Université Laval, Québec City, QC, Canada
- School of Nutrition, Université Laval, Québec City, QC, Canada
- *Correspondence: Marie-Claude Vohl
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Defining the Critical Components of Informed Consent for Genetic Testing. J Pers Med 2021; 11:jpm11121304. [PMID: 34945775 PMCID: PMC8706495 DOI: 10.3390/jpm11121304] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Revised: 11/24/2021] [Accepted: 11/25/2021] [Indexed: 11/17/2022] Open
Abstract
Purpose: Informed consent for genetic testing has historically been acquired during pretest genetic counseling, without specific guidance defining which core concepts are required. Methods: The Clinical Genome Resource (ClinGen) Consent and Disclosure Recommendations Workgroup (CADRe) used an expert consensus process to identify the core concepts essential to consent for clinical genetic testing. A literature review identified 77 concepts that are included in informed consent for genetic tests. Twenty-five experts (9 medical geneticists, 8 genetic counselors, and 9 bioethicists) completed two rounds of surveys ranking concepts’ importance to informed consent. Results: The most highly ranked concepts included: (1) genetic testing is voluntary; (2) why is the test recommended and what does it test for?; (3) what results will be returned and to whom?; (4) are there other types of potential results, and what choices exist?; (5) how will the prognosis and management be impacted by results?; (6) what is the potential family impact?; (7) what are the test limitations and next steps?; and (8) potential risk of genetic discrimination and legal protections. Conclusion: Defining the core concepts necessary for informed consent for genetic testing provides a foundation for quality patient care across a variety of healthcare providers and clinical indications.
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Salazar JL, Yang SA, Lin YQ, Li-Kroeger D, Marcogliese PC, Deal SL, Neely GG, Yamamoto S. TM2D genes regulate Notch signaling and neuronal function in Drosophila. PLoS Genet 2021; 17:e1009962. [PMID: 34905536 PMCID: PMC8714088 DOI: 10.1371/journal.pgen.1009962] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Revised: 12/28/2021] [Accepted: 11/23/2021] [Indexed: 12/26/2022] Open
Abstract
TM2 domain containing (TM2D) proteins are conserved in metazoans and encoded by three separate genes in each model organism species that has been sequenced. Rare variants in TM2D3 are associated with Alzheimer's disease (AD) and its fly ortholog almondex is required for embryonic Notch signaling. However, the functions of this gene family remain elusive. We knocked-out all three TM2D genes (almondex, CG11103/amaretto, CG10795/biscotti) in Drosophila and found that they share the same maternal-effect neurogenic defect. Triple null animals are not phenotypically worse than single nulls, suggesting these genes function together. Overexpression of the most conserved region of the TM2D proteins acts as a potent inhibitor of Notch signaling at the γ-secretase cleavage step. Lastly, Almondex is detected in the brain and its loss causes shortened lifespan accompanied by progressive motor and electrophysiological defects. The functional links between all three TM2D genes are likely to be evolutionarily conserved, suggesting that this entire gene family may be involved in AD.
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Affiliation(s)
- Jose L. Salazar
- Department of Molecular and Human Genetics, Baylor College of Medicine (BCM), Houston, Texas, United States of America
- Jan and Dan Duncan Neurological Research Institute, Texas Children’s Hospital, Houston, Texas, United States of America
| | - Sheng-An Yang
- Department of Molecular and Human Genetics, Baylor College of Medicine (BCM), Houston, Texas, United States of America
- Jan and Dan Duncan Neurological Research Institute, Texas Children’s Hospital, Houston, Texas, United States of America
| | - Yong Qi Lin
- The Dr. John and Anne Chong Lab for Functional Genomics, Charles Perkins Centre and School of Life and Environmental Sciences, The University of Sydney, Sydney, Australia
| | - David Li-Kroeger
- Jan and Dan Duncan Neurological Research Institute, Texas Children’s Hospital, Houston, Texas, United States of America
- Department of Neurology, BCM, Houston, Texas, United States of America
- Center for Alzheimer’s and Neurodegenerative Diseases, BCM, Houston, Texas, United States of America
| | - Paul C. Marcogliese
- Department of Molecular and Human Genetics, Baylor College of Medicine (BCM), Houston, Texas, United States of America
- Jan and Dan Duncan Neurological Research Institute, Texas Children’s Hospital, Houston, Texas, United States of America
| | - Samantha L. Deal
- Jan and Dan Duncan Neurological Research Institute, Texas Children’s Hospital, Houston, Texas, United States of America
- Program in Developmental Biology, BCM, Houston, Texas, United States of America
| | - G. Gregory Neely
- The Dr. John and Anne Chong Lab for Functional Genomics, Charles Perkins Centre and School of Life and Environmental Sciences, The University of Sydney, Sydney, Australia
| | - Shinya Yamamoto
- Department of Molecular and Human Genetics, Baylor College of Medicine (BCM), Houston, Texas, United States of America
- Jan and Dan Duncan Neurological Research Institute, Texas Children’s Hospital, Houston, Texas, United States of America
- Center for Alzheimer’s and Neurodegenerative Diseases, BCM, Houston, Texas, United States of America
- Program in Developmental Biology, BCM, Houston, Texas, United States of America
- Development, Disease Models & Therapeutics Graduate Program, BCM, Houston, Texas, United States of America
- Department of Neuroscience, BCM, Houston, Texas, United States of America
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Roberts JS, Ferber R, Blacker D, Rumbaugh M, Grill JD. Disclosure of individual research results at federally funded Alzheimer's Disease Research Centers. ALZHEIMER'S & DEMENTIA (NEW YORK, N. Y.) 2021; 7:e12213. [PMID: 34692986 PMCID: PMC8515553 DOI: 10.1002/trc2.12213] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
INTRODUCTION This study describes practices for disclosing individual research results to participants in Alzheimer's disease research. METHODS An online survey of clinical core leaders at National Institutes of Health-funded Alzheimer's Disease Research Centers in the United States (response rate: 30/31, 97%) examined return of results practices across nine different types of research results. RESULTS Most centers had returned consensus research diagnoses (83%) and neuropsychological test results (73%), with fewer having shared amyloid positron emission tomography (43%), tau imaging (10%), or apolipoprotein E (APOE) genotype (7%) results. Centers reported having disclosed a mean of 3.1 types of results (standard deviation = 2.1; range 0-8). The most commonly cited reason for disclosure was to inform participants' medical decision-making (88%). Disclosure involved multiple professionals and modalities, with neurologists (87%) and in-person visits (85%) most commonplace. DISCUSSION Centers varied widely as to whether and how they disclosed research results. Diagnostic and cognitive test results were more commonly returned than genetic or biomarker results.
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Affiliation(s)
- J. Scott Roberts
- Department of Health Behavior & Health EducationUniversity of Michigan School of Public HealthAnn ArborMichiganUSA
| | - Rebecca Ferber
- Department of Health Behavior & Health EducationUniversity of Michigan School of Public HealthAnn ArborMichiganUSA
| | - Deborah Blacker
- Massachusetts General HospitalHarvard Medical SchoolBostonMAUSA
- Department of EpidemiologyHarvard T. H. Chan School of Public HealthBostonMassachusettsUSA
| | - Malia Rumbaugh
- Department of Medical and Molecular GeneticsIndiana University School of MedicineIndianapolisIndianaUSA
| | - Joshua D. Grill
- Institute for Memory Impairments and Neurological DisordersUniversity of California IrvineIrvineCaliforniaUSA
- Department of Psychiatry & Human BehaviorUniversity of California Irvine School of MedicineIrvineCaliforniaUSA
- Department of Neurobiology & BehaviorUniversity of California Irvine School of Biological SciencesIrvineCaliforniaUSA
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Papazoglou A, Arshaad MI, Henseler C, Daubner J, Broich K, Haenisch B, Weiergräber M. The Janus-like Association between Proton Pump Inhibitors and Dementia. Curr Alzheimer Res 2021; 18:453-469. [PMID: 34587884 PMCID: PMC8778640 DOI: 10.2174/1567205018666210929144740] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Revised: 06/10/2021] [Accepted: 06/18/2021] [Indexed: 11/30/2022]
Abstract
Early pharmacoepidemiological studies suggested that Proton Pump Inhibitors (PPIs) might increase the risk of Alzheimer’s Disease (AD) and non-AD related dementias. These findings were supported by preclinical studies, specifically stressing the proamyloidogenic and indirect anticholinergic effects of PPIs. However, further large-scale pharmacoepidemiological studies showed inconsistent results on the association between PPIs and dementia. Pharmacodynamically, these findings might be related to the LXR/RXR-mediated amyloid clearance effect and anti-inflammatory action of PPIs. Further aspects that influence PPI effects on AD are related to patient-specific pharmacokinetic and pharmacogenomic characteristics. In conclusion, a personalized (individualized) medicinal approach is necessary to model and predict the potential harmful or beneficial effects of PPIs in AD and non-AD-related dementias in the future.
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Affiliation(s)
- Anna Papazoglou
- Experimental Neuropsychopharmacology, Federal Institute for Drugs and Medical Devices (Bundesinstitut für Arzneimittel und Medizinprodukte, BfArM), Kurt-Georg-Kiesinger-Allee 3, 53175 Bonn, Germany
| | - Muhammad I Arshaad
- Experimental Neuropsychopharmacology, Federal Institute for Drugs and Medical Devices (Bundesinstitut für Arzneimittel und Medizinprodukte, BfArM), Kurt-Georg-Kiesinger-Allee 3, 53175 Bonn, Germany
| | - Christina Henseler
- Experimental Neuropsychopharmacology, Federal Institute for Drugs and Medical Devices (Bundesinstitut für Arzneimittel und Medizinprodukte, BfArM), Kurt-Georg-Kiesinger-Allee 3, 53175 Bonn, Germany
| | - Johanna Daubner
- Experimental Neuropsychopharmacology, Federal Institute for Drugs and Medical Devices (Bundesinstitut für Arzneimittel und Medizinprodukte, BfArM), Kurt-Georg-Kiesinger-Allee 3, 53175 Bonn, Germany
| | - Karl Broich
- Federal Institute for Drugs and Medical Devices (Bundesinstitut für Arzneimittel und Medizinprodukte, BfArM) 53127, Kurt-Georg- Kiesinger-Allee 3, 53175 Bonn, Germany
| | - Britta Haenisch
- Federal Institute for Drugs and Medical Devices (Bundesinstitut für Arzneimittel und Medizinprodukte, BfArM) 53127, Kurt-Georg- Kiesinger-Allee 3, 53175 Bonn, Germany
| | - Marco Weiergräber
- Experimental Neuropsychopharmacology, Federal Institute for Drugs and Medical Devices (Bundesinstitut für Arzneimittel und Medizinprodukte, BfArM), Kurt-Georg-Kiesinger-Allee 3, 53175 Bonn, Germany
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Bruni AC, Bernardi L, Maletta R. Evolution of genetic testing supports precision medicine for caring Alzheimer's disease patients. Curr Opin Pharmacol 2021; 60:275-280. [PMID: 34487952 DOI: 10.1016/j.coph.2021.08.004] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Revised: 08/03/2021] [Accepted: 08/04/2021] [Indexed: 12/22/2022]
Abstract
Genetic testing for Alzheimer's disease offers a molecular diagnosis to patients and their relatives and provides information on personal risk, reproductive choices, clinical trial eligibility, and treatment options. In the past, molecular testing was limited to detecting single variations in single genes. Currently, with the advent of next-generation sequencing, simultaneous analysis of more than 100 genes using the same DNA sample is possible. This approach allows the determination of gene mutations, genetic risk factors, genotypes at many pharmacogenomic loci, and the determination of a polygenic risk scores for stratification of risk. This article reviews the diagnostic genetic testing of Alzheimer's disease, from the first molecular approaches to recent advances in NGS, focusing on a precision medicine approach.
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Affiliation(s)
| | - Livia Bernardi
- Regional Neurogenetic Centre, ASP CZ, Lamezia Terme, CZ, Italy
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