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Korczyn AD, Grinberg LT. Is Alzheimer disease a disease? Nat Rev Neurol 2024; 20:245-251. [PMID: 38424454 DOI: 10.1038/s41582-024-00940-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/01/2024] [Indexed: 03/02/2024]
Abstract
Dementia, a prevalent condition among older individuals, has profound societal implications. Extensive research has resulted in no cure for what is perceived as the most common dementing illness: Alzheimer disease (AD). AD is defined by specific brain abnormalities - amyloid-β plaques and tau protein neurofibrillary tangles - that are proposed to actively influence the neurodegenerative process. However, conclusive evidence of amyloid-β toxicity is lacking, the mechanisms leading to the accumulation of plaques and tangles are unknown, and removing amyloid-β has not halted neurodegeneration. So, the question remains, are we making progress towards a solution? The complexity of AD is underscored by numerous genetic and environmental risk factors, and diverse clinical presentations, suggesting that AD is more akin to a syndrome than to a traditional disease, with its pathological manifestation representing a convergence of pathogenic pathways. Therefore, a solution requires a multifaceted approach over a single 'silver bullet'. Improved recognition and classification of conditions that converge in plaques and tangle accumulation and their treatment requires the use of multiple strategies simultaneously.
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Affiliation(s)
- Amos D Korczyn
- Departments of Neurology, Physiology and Pharmacology, Tel Aviv University, Tel Aviv, Israel.
| | - Lea T Grinberg
- Departments of Neurology and Pathology, UCSF, San Francisco, CA, USA
- Global Brain Health Institute, UCSF, San Francisco, CA, USA
- Department of Pathology, University of Sao Paulo Medical School, Sao Paulo, Brazil
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2
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Groechel RC, Tripodis Y, Alosco ML, Mez J, Qiao Qiu W, Goldstein L, Budson AE, Kowall NW, Shaw LM, Weiner M, Jack CR, Killiany RJ. Biomarkers of Alzheimer's disease in Black and/or African American Alzheimer's Disease Neuroimaging Initiative (ADNI) participants. Neurobiol Aging 2023; 131:144-152. [PMID: 37639768 PMCID: PMC10528881 DOI: 10.1016/j.neurobiolaging.2023.07.021] [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: 03/17/2023] [Revised: 07/03/2023] [Accepted: 07/18/2023] [Indexed: 08/31/2023]
Abstract
Majority of dementia research is conducted in non-Hispanic White participants despite a greater prevalence of dementia in other racial groups. To obtain a better understanding of biomarker presentation of Alzheimer's disease (AD) in the non-Hispanic White population, this study exclusively examined AD biomarker abnormalities in 85 Black and/or African American participants within the Alzheimer's Disease Neuroimaging Initiative (ADNI). Participants were classified by the ADNI into 3 clinical groups: cognitively normal, mild cognitive impairment, or dementia. Data examined included demographics, apolipoprotein E (APOE) ε4, cerebrospinal fluid (CSF) Aβ1-42, CSF total tau (t-tau), CSF phosphorylated tau (p-tau), 3T magnetic resonance imaging (MRI), and measures of cognition and function. Analyses of variance and covariance showed lower cortical thickness in 5 of 7 selected MRI regions, lower hippocampal volume, greater volume of white matter hyperintensities, lower measures of cognition and function, lower measures of CSF Aβ1-42, and greater measures of CSF t-tau and p-tau between clinical groups. Our findings confirmed greater AD biomarker abnormalities between clinical groups in this sample.
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Affiliation(s)
- Renée C Groechel
- Department of Anatomy and Neurobiology, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, USA.
| | - Yorghos Tripodis
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA; Boston University Alzheimer's Disease Research Center, Boston, MA, USA
| | - Michael L Alosco
- Boston University Alzheimer's Disease Research Center, Boston, MA, USA; Department of Neurology, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, USA
| | - Jesse Mez
- Boston University Alzheimer's Disease Research Center, Boston, MA, USA; Department of Neurology, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, USA
| | - Wei Qiao Qiu
- Boston University Alzheimer's Disease Research Center, Boston, MA, USA; Department of Psychiatry, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, USA
| | - Lee Goldstein
- Boston University Alzheimer's Disease Research Center, Boston, MA, USA; Department of Neurology, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, USA
| | - Andrew E Budson
- Boston University Alzheimer's Disease Research Center, Boston, MA, USA; Department of Neurology, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, USA
| | - Neil W Kowall
- Boston University Alzheimer's Disease Research Center, Boston, MA, USA; Department of Neurology, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, USA
| | - Leslie M Shaw
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine at University of Pennsylvania, Philadelphia, PA, USA
| | - Michael Weiner
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | | | - Ronald J Killiany
- Department of Anatomy and Neurobiology, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, USA; Boston University Alzheimer's Disease Research Center, Boston, MA, USA; Department of Neurology, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, USA
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3
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Blanco K, Salcidua S, Orellana P, Sauma-Pérez T, León T, Steinmetz LCL, Ibañez A, Duran-Aniotz C, de la Cruz R. Systematic review: fluid biomarkers and machine learning methods to improve the diagnosis from mild cognitive impairment to Alzheimer's disease. Alzheimers Res Ther 2023; 15:176. [PMID: 37838690 PMCID: PMC10576366 DOI: 10.1186/s13195-023-01304-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Accepted: 09/15/2023] [Indexed: 10/16/2023]
Abstract
Mild cognitive impairment (MCI) is often considered an early stage of dementia, with estimated rates of progression to dementia up to 80-90% after approximately 6 years from the initial diagnosis. Diagnosis of cognitive impairment in dementia is typically based on clinical evaluation, neuropsychological assessments, cerebrospinal fluid (CSF) biomarkers, and neuroimaging. The main goal of diagnosing MCI is to determine its cause, particularly whether it is due to Alzheimer's disease (AD). However, only a limited percentage of the population has access to etiological confirmation, which has led to the emergence of peripheral fluid biomarkers as a diagnostic tool for dementias, including MCI due to AD. Recent advances in biofluid assays have enabled the use of sophisticated statistical models and multimodal machine learning (ML) algorithms for the diagnosis of MCI based on fluid biomarkers from CSF, peripheral blood, and saliva, among others. This approach has shown promise for identifying specific causes of MCI, including AD. After a PRISMA analysis, 29 articles revealed a trend towards using multimodal algorithms that incorporate additional biomarkers such as neuroimaging, neuropsychological tests, and genetic information. Particularly, neuroimaging is commonly used in conjunction with fluid biomarkers for both cross-sectional and longitudinal studies. Our systematic review suggests that cost-effective longitudinal multimodal monitoring data, representative of diverse cultural populations and utilizing white-box ML algorithms, could be a valuable contribution to the development of diagnostic models for AD due to MCI. Clinical assessment and biomarkers, together with ML techniques, could prove pivotal in improving diagnostic tools for MCI due to AD.
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Affiliation(s)
- Kevin Blanco
- Center for Social and Cognitive Neuroscience (CSCN), School of Psychology, Universidad Adolfo Ibanez, Diagonal Las Torres 2640, Peñalolén, Santiago, Chile
| | - Stefanny Salcidua
- Latin American Institute for Brain Health (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile
- Faculty of Engineering and Sciences, Universidad Adolfo Ibáñez, Diagonal Las Torres 2700, Building D, Peñalolén, Santiago, Chile
| | - Paulina Orellana
- Center for Social and Cognitive Neuroscience (CSCN), School of Psychology, Universidad Adolfo Ibanez, Diagonal Las Torres 2640, Peñalolén, Santiago, Chile
- Latin American Institute for Brain Health (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile
| | - Tania Sauma-Pérez
- Latin American Institute for Brain Health (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile
| | - Tomás León
- Global Brain Health Institute, Trinity College, Dublin, Ireland
- Memory and Neuropsychiatric Center (CMYN) Neurology Department, Hospital del Salvador and Faculty of Medicine, University of Chile, Santiago, Chile
| | - Lorena Cecilia López Steinmetz
- Latin American Institute for Brain Health (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile
- Technische Universität Berlin, Berlin, Deutschland
- Instituto de Investigaciones Psicológicas (IIPsi), Universidad Nacional de Córdoba (UNC) y Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Córdoba, Argentina
| | - Agustín Ibañez
- Latin American Institute for Brain Health (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile
- Global Brain Health Institute, Trinity College, Dublin, Ireland
- Global Brain Health Institute, University of California San Francisco (UCSF), San Francisco, CA, USA
- Cognitive Neuroscience Center (CNC), Universidad de San Andrés, & National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina
| | - Claudia Duran-Aniotz
- Center for Social and Cognitive Neuroscience (CSCN), School of Psychology, Universidad Adolfo Ibanez, Diagonal Las Torres 2640, Peñalolén, Santiago, Chile.
- Latin American Institute for Brain Health (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile.
| | - Rolando de la Cruz
- Latin American Institute for Brain Health (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile.
- Faculty of Engineering and Sciences, Universidad Adolfo Ibáñez, Diagonal Las Torres 2700, Building D, Peñalolén, Santiago, Chile.
- Data Observatory Foundation, ANID Technology Center No. DO210001, Santiago, Chile.
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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: 0] [Impact Index Per Article: 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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Moran C, Lacy ME, Whitmer RA, Tsai AL, Quesenberry CP, Karter AJ, Adams AS, Gilsanz P. Glycemic Control Over Multiple Decades and Dementia Risk in People With Type 2 Diabetes. JAMA Neurol 2023; 80:597-604. [PMID: 37067815 PMCID: PMC10111232 DOI: 10.1001/jamaneurol.2023.0697] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Accepted: 02/20/2023] [Indexed: 04/18/2023]
Abstract
Importance The levels of glycemic control associated with the lowest risk of dementia in people with type 2 diabetes are unknown. This knowledge is critical to inform patient-centered glycemic target setting. Objective To examine the associations between cumulative exposure to various ranges of glycated hemoglobin (HbA1c) concentrations with dementia risk across sex and racial and ethnic groups and the association of current therapeutic glycemic targets with dementia risk. Design, Setting, and Participants This cohort study included members of the Kaiser Permanente Northern California integrated health care system with type 2 diabetes who were aged 50 years or older during the study period from January 1, 1996, to September 30, 2015. Individuals with fewer than 2 HbA1c measurements during the study period, prevalent dementia at baseline, or less than 3 years of follow-up were excluded. Data were analyzed from February 2020 to January 2023. Exposures Time-updated cumulative exposure to HbA1c thresholds. At each HbA1c measurement, participants were categorized based on the percentage of their HbA1c measurements that fell into the following categories: less than 6%, 6% to less than 7%, 7% to less than 8%, 8% to less than 9%, 9% to less than 10%, and 10% or more of total hemoglobin (to convert percentage of total hemoglobin to proportion of total hemoglobin, multiply by 0.01). Main Outcomes and Measures Dementia diagnosis was identified using International Classification of Diseases, Ninth Revision codes from inpatient and outpatient encounters. Cox proportional hazards regression models estimated the association of time-varying cumulative glycemic exposure with dementia, adjusting for age, race and ethnicity, baseline health conditions, and number of HbA1c measurements. Results A total of 253 211 participants were included. The mean (SD) age of participants was 61.5 (9.4) years, and 53.1% were men. The mean (SD) duration of follow-up was 5.9 (4.5) years. Participants with more than 50% of HbA1c measurements at 9% to less than 10% or 10% or more had greater risk of dementia compared with those who had 50% or less of measurements in those categories (HbA1c 9% to <10%: adjusted hazard ratio [aHR], 1.31 [95% CI, 1.15-1.51]; HbA1c≥10%: aHR, 1.74 [95% CI, 1.62-1.86]). By contrast, participants with more than 50% of HbA1c concentrations less than 6%, 6% to less than 7%, or 7% to less than 8% had lower risk of dementia (HbA1c<6%: aHR, 0.92 [95% CI, 0.88-0.97]; HbA1c 6% to <7%: aHR, 0.79 [95% CI, 0.77-0.81]; HbA1c 7% to <8%: aHR, 0.93 [95% CI, 0.89-0.97]). Conclusions and Relevance In this study dementia risk was greatest among adults with cumulative HbA1c concentrations of 9% or more. These results support currently recommended relaxed glycemic targets for older people with type 2 diabetes.
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Affiliation(s)
- Chris Moran
- National Centre for Healthy Ageing, Melbourne, Australia
- Peninsula Clinical School, Monash University, Melbourne, Australia
- Department of Geriatric Medicine, Peninsula Health, Melbourne, Australia
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Mary E. Lacy
- Kaiser Permanente Division of Research, Oakland, California
- College of Public Health, Department of Epidemiology, University of Kentucky, Lexington
| | - Rachel A. Whitmer
- Kaiser Permanente Division of Research, Oakland, California
- Division of Epidemiology, School of Medicine, University of California, Davis
| | - Ai-Lin Tsai
- Kaiser Permanente Division of Research, Oakland, California
| | | | | | - Alyce S. Adams
- Kaiser Permanente Division of Research, Oakland, California
- Department of Epidemiology and Population Health and Health Policy, School of Medicine, Stanford University, Stanford, California
| | - Paola Gilsanz
- Kaiser Permanente Division of Research, Oakland, California
- Department of Epidemiology and Biostatistics, University of California, San Francisco
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Iverson GL, Castellani RJ, Cassidy JD, Schneider GM, Schneider KJ, Echemendia RJ, Bailes JE, Hayden KA, Koerte IK, Manley GT, McNamee M, Patricios JS, Tator CH, Cantu RC, Dvorak J. Examining later-in-life health risks associated with sport-related concussion and repetitive head impacts: a systematic review of case-control and cohort studies. Br J Sports Med 2023; 57:810-821. [PMID: 37316187 DOI: 10.1136/bjsports-2023-106890] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/26/2023] [Indexed: 06/16/2023]
Abstract
OBJECTIVE Concern exists about possible problems with later-in-life brain health, such as cognitive impairment, mental health problems and neurological diseases, in former athletes. We examined the future risk for adverse health effects associated with sport-related concussion, or exposure to repetitive head impacts, in former athletes. DESIGN Systematic review. DATA SOURCES Search of MEDLINE, Embase, Cochrane, CINAHL Plus and SPORTDiscus in October 2019 and updated in March 2022. ELIGIBILITY CRITERIA Studies measuring future risk (cohort studies) or approximating that risk (case-control studies). RESULTS Ten studies of former amateur athletes and 18 studies of former professional athletes were included. No postmortem neuropathology studies or neuroimaging studies met criteria for inclusion. Depression was examined in five studies in former amateur athletes, none identifying an increased risk. Nine studies examined suicidality or suicide as a manner of death, and none found an association with increased risk. Some studies comparing professional athletes with the general population reported associations between sports participation and dementia or amyotrophic lateral sclerosis (ALS) as a cause of death. Most did not control for potential confounding factors (eg, genetic, demographic, health-related or environmental), were ecological in design and had high risk of bias. CONCLUSION Evidence does not support an increased risk of mental health or neurological diseases in former amateur athletes with exposure to repetitive head impacts. Some studies in former professional athletes suggest an increased risk of neurological disorders such as ALS and dementia; these findings need to be confirmed in higher quality studies with better control of confounding factors. PROSPERO REGISTRATION NUMBER CRD42022159486.
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Affiliation(s)
- Grant L Iverson
- Sports Concussion Program, MassGeneral Hospital for Children, Boston, Massachusetts, USA
- Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, Massachusetts, USA
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Charlestown, Massachusetts, USA
- Department of Physical Medicine and Rehabilitation, Schoen Adams Research Institute at Spaulding Rehabilitation, Charlestown, Massachusetts, USA
- Home Base, A Red Sox Foundation and Massachusetts General Hospital Program, Massachusetts General Hospital, Charlestown, Massachusetts, USA
| | - Rudolph J Castellani
- Department of Pathology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - J David Cassidy
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Geoff M Schneider
- Department of Radiology, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Kathryn J Schneider
- Sport Injury Prevention Research Centre, Faculty of Kinesiology, University of Calgary, Calgary, Alberta, Canada
| | - Ruben J Echemendia
- Department of Psychology, University of Missouri-Kansas City, Kansas City, Missouri, USA
- University Orthopedic Centre, Concussion Care Clinic, State College, Pennsylvania, USA
| | - Julian E Bailes
- Department of Neurosurgery, NorthShore University HealthSystem, Evanston, Illinois, USA
- Department of Neurosurgery, University of Chicago Pritzker School of Medicine, Chicago, Illinois, USA
| | - K Alix Hayden
- Libraries and Cultural Resources, University of Calgary, Calgary, Alberta, Canada
| | - Inga K Koerte
- cBRAIN, Department of Child and Adolescent Psychiatry, Psychosomatic, and Psychotherapy, University Hospital, Ludwig-Maximilians-Universität, Munich, Germany
- Department of Psychiatry, Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Mass General Brigham, Boston, Massachusetts, USA
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Geoffrey T Manley
- Department of Neurosurgery, University of California San Francisco, San Francisco, California, USA
| | - Michael McNamee
- Department of Movement Sciences, KU Leuven, Leuven, Belgium
- School of Sport and Exercise Sciences, Swansea University, Swansea, UK
| | - Jon S Patricios
- Wits Sport and Health (WiSH), School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Charles H Tator
- Department of Surgery and Division of Neurosurgery, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Canadian Concussion Centre, Toronto Western Hospital, Toronto, Ontario, Canada
| | - Robert C Cantu
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts, USA
- Robert C. Cantu Concussion Center, Emerson Hospital, Concord, Massachusetts, USA
| | - Jiri Dvorak
- Schulthess Clinic Zurich, Zurich, Switzerland
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Steenland K, Tan Y, Wingo T, Shi L, Xiao S, Wharton W. The effect of race and co-morbidities on Alzheimer's disease based on Medicare data. Alzheimers Dement 2023; 19:1858-1864. [PMID: 36327171 PMCID: PMC10251261 DOI: 10.1002/alz.12838] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Revised: 09/15/2022] [Accepted: 09/28/2022] [Indexed: 11/06/2022]
Abstract
INTRODUCTION Alzheimer's disease (AD) incidence is thought to be higher among Black than White individuals. METHODS We studied the US Medicare population from 2000 to 2018. Cox regression was used to determine the roles of race and co-morbidities for AD incidence. RESULTS We studied 11,880,906 Medicare beneficiaries, with 774,548 AD cases. Hazard ratios (HRs) by increasing numbers of co-morbidities (1-7) were 1.51, 2.00, 2.55, 3.16, 2.89, 4.77, and 5.65. Among those with no co-morbidities, Black individuals had a lower rate than those who are White (HR = 0.69), while among those with one more co-morbidities, Black individuals had a higher rate (HR = 1.19). The presence of hypertension increased AD rates by 14% for White individuals, but 69% for those who are Black. DISCUSSION More co-morbidities was strongly associated with higher AD rates. The higher rates for Black versus White individuals was apparent only for those with co-morbidities and appears driven both by more co-morbidities, and the greater effect of hypertension. HIGHLIGHTS Black individuals have been shown to have higher Alzheimer's disease (AD) rates than those who are White. Some co-morbidities are known to increase AD risk. Among those In Medicare data with no co-morbidities, Black individuals have less risk than those who are White. Among those with co-morbidities, Black individuals have higher rates than those who are White. Hypertension results in a much stronger increase in AD risk for Black versus White individuals.
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Affiliation(s)
- Kyle Steenland
- Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | - Youran Tan
- Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | - Thomas Wingo
- Department of Neurology and Department of Human Genetics, School of Medicine, Emory University, Atlanta, Georgia, USA
| | - Liuhua Shi
- Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | - Siyao Xiao
- Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | - Whitney Wharton
- Department of Neurology, School of Medicine, Emory University, Atlanta, Georgia, USA
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Morrison C, Dadar M, Kamal F, Collins DL. Differences in AD-related pathology profiles across APOE groups. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.04.25.23289108. [PMID: 37162910 PMCID: PMC10168520 DOI: 10.1101/2023.04.25.23289108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
BACKGROUND The apolipoprotein (APOE) e4 allele is a known risk factor for Alzheimer's disease (AD), while the e2 allele is thought to be protective against AD. Few studies have examined the relationship between brain pathologies, atrophy, and white matter hyperintensities (WMHs) and APOE status in those with the e2e4 genotype and results are inconsistent for those with an e2 allele. METHODS We analyzed Alzheimer's Disease Neuroimaging participants that had APOE genotyping and at least one of the following metrics: regional WMH load, ventricle size, hippocampal (HC) and entorhinal cortex (EC) volume, amyloid level (i.e., AV-45), and phosphorylated tau (pTau). Participants were divided into one of four APOE allele profiles (E4=e4e4 or e3e4; E2=e2e2 or e2e3; E3=e3e3; or E24=e2e4, Fig.1). Linear mixed models examined the relationship between APOE profiles and each pathology (i.e., regional WMHs, ventricle size, hippocampal and entorhinal cortex volume, amyloid level, and phosphorylated tau measures). while controlling for age, sex, education, and diagnostic status at baseline and over time. RESULTS APOE ε4 is associated with increased pathology while ε2 positivity is associated with reduced baseline and lower accumulation of pathologies and rates of neurodegeneration. APOE ε2ε4 is similar to ε4 (increased neurodegeneration) but with a slower rate of change. CONCLUSIONS The strong associations observed between APOE and pathology in this study show the importance of how genetic factors influence structural brain changes. These findings suggest that ε2ε4 genotype is related to increased declines associated with the ε4 as opposed to the protective effects of the ε2. These findings have important implications for initiating treatments and interventions. Given that people who have the ε2ε4 genotype can expect to have increased atrophy, they must be included (alongside those with an ε4 profile) in targeted interventions to reduce brain changes that occur with AD.
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Caldwell JZ, Isenberg N. The aging brain: risk factors and interventions for long term brain health in women. Curr Opin Obstet Gynecol 2023; 35:169-175. [PMID: 36912325 PMCID: PMC10023345 DOI: 10.1097/gco.0000000000000849] [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: 03/14/2023]
Abstract
PURPOSE OF REVIEW Poor cognitive aging and dementia pose a significant public health burden, and women face unique risks compared to men. Recent research highlights the role of genetics, menopause, chronic disease, and lifestyle in risk and resilience in women's cognitive aging. This work suggests avenues for clinical action at midlife that may change the course of brain health in aging. RECENT FINDINGS Studies indicate women's risk for poor cognitive aging relates in part to hormone changes at menopause, a time when memory, brain structure and function, and Alzheimer's pathology may be observed in women and not men. Medical and lifestyle risks including diabetes, hypertension, and low physical activity also contribute to women's unique risks. At the same time, literature on resilience suggests women may benefit from lifestyle and chronic disease intervention, possibly more than men. Current studies emphasize the importance of interacting genetic and lifestyle risks, and effects of social determinants of health. SUMMARY Women have greater risk than men for poor cognitive aging; however, by treating the whole person, including genetics, lifestyle, and social environment, clinicians have an opportunity to support healthy cognitive aging in women and reduce the future public health burden of dementia.
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Affiliation(s)
- Jessica Z.K. Caldwell
- Cleveland Clinic Lou Ruvo Center for Brain Health, 888 W. Bonneville Ave., Las Vegas, NV 89106
| | - Nancy Isenberg
- Providence Swedish Center for Healthy Aging, Swedish Neuroscience Institute, 1600 E. Jefferson St. A Level, Seattle, WA 98122
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Abondio P, Bruno F, Luiselli D. Apolipoprotein E (APOE) Haplotypes in Healthy Subjects from Worldwide Macroareas: A Population Genetics Perspective for Cardiovascular Disease, Neurodegeneration, and Dementia. Curr Issues Mol Biol 2023; 45:2817-2831. [PMID: 37185708 PMCID: PMC10137191 DOI: 10.3390/cimb45040184] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 03/22/2023] [Accepted: 03/29/2023] [Indexed: 04/03/2023] Open
Abstract
Human APOE is a 299-amino acid long protein expressed and secreted in several tissues and body districts, where it exerts different functions mainly related to lipid metabolism, with specific activities around cholesterol transport and absorption/elimination. It has three main isoforms, determined by the pair of mutations rs7412-C/T and rs429358-C/T, which gives rise to the functionally different APOE variants ε2, ε3, and ε4. These have a distinct impact on lipid metabolism and are differentially implicated in Alzheimer’s disease and neurodegeneration, cardiovascular disease, and dyslipidemia. A plethora of other single nucleotide variants along the sequence of the APOE gene have been studied in cohorts of affected individuals, where they also modulate the influence of the three main isoforms to determine the risk of developing the disease. However, no contextual analysis of gene-long haplotypes has been carried out so far, and never extensively in cohorts of healthy individuals from different worldwide populations. Leveraging a rich population genomics dataset, this study elucidates the distribution of APOE variants and haplotypes that are shared across populations and to specific macroareas, revealing a variety of risk-allele associations that distinguish specific ancestral backgrounds and can be leveraged for specific ancestry-informed screenings in medicine and public health.
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Du Y, Zhang S, Qiu Q, Zhang J, Fang Y, Zhao L, Wei W, Wang J, Wang J, Li X. The effect of hippocampal radiomic features and functional connectivity on the relationship between hippocampal volume and cognitive function in Alzheimer's disease. J Psychiatr Res 2023; 158:382-391. [PMID: 36646036 DOI: 10.1016/j.jpsychires.2023.01.024] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Revised: 01/09/2023] [Accepted: 01/10/2023] [Indexed: 01/13/2023]
Abstract
Hippocampal volume is associated with cognitive function in Alzheimer's disease (AD). Hippocampal radiomic features and resting-state functional connectivity (rs-FC) are promising biomarkers and correlate with AD pathology. However, few studies have been conducted on how hippocampal biomarkers affect the cognition-structure relationship. Therefore, we aimed to investigate the effects of hippocampal radiomic features and resting-state functional connectivity (rs-FC) on this relationship in AD. We enrolled 70 AD patients and 65 healthy controls (HCs). The FreeSurfer software was used to measure hippocampal volume. We selected hippocampal radiomic features to build a model to distinguish AD patients from HCs and used a seed-based approach to calculate the hippocampal rs-FC. Furthermore, we conducted mediation and moderation analyses to investigate the effect of hippocampal radiomic features and rs-FC on the relationship between hippocampal volume and cognition in AD. The results suggested that hippocampal radiomic features mediated the association between bilateral hippocampal volume and cognition in AD. Additionally, patients with AD showed weaker rs-FC between the bilateral hippocampus and right ventral posterior cingulate cortex and stronger rs-FC between the left hippocampus and left insula than HCs. The rs-FC between the hippocampus and insula moderated the relationship between hippocampal volume and cognition in AD, suggesting that this rs-FC could exacerbate or ameliorate the effects of hippocampal volume on cognition and may be essential in improving cognitive function in AD. Our findings may not only expand existing biological knowledge of the interrelationships among hippocampal biomarkers and cognition but also provide potential targets for treatment strategies for AD.
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Affiliation(s)
- Yang Du
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China; Alzheimer's Disease and Related Disorders Center, Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Shaowei Zhang
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China; Alzheimer's Disease and Related Disorders Center, Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Qi Qiu
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China; Alzheimer's Disease and Related Disorders Center, Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Jianye Zhang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China
| | - Yuan Fang
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China; Alzheimer's Disease and Related Disorders Center, Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Lu Zhao
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China; Alzheimer's Disease and Related Disorders Center, Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Wenjing Wei
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China; Alzheimer's Disease and Related Disorders Center, Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Jinghua Wang
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China; Alzheimer's Disease and Related Disorders Center, Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Jinhong Wang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China.
| | - Xia Li
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China; Alzheimer's Disease and Related Disorders Center, Shanghai Jiao Tong University, Shanghai, 200030, China.
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12
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Beckett LA. Alzheimer's-related brain damage shows sex-specific links with risk factors. PLoS Biol 2022; 20:e3001905. [PMID: 36516115 PMCID: PMC9749968 DOI: 10.1371/journal.pbio.3001905] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Alzheimer's disease is marked by brain damage from tau and amyloid aggregates, particularly to the hippocampus and the default network. A new study in PLOS Biology shows sex differences in the patterns of damage and in their association with risk and protective factors.
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Affiliation(s)
- Laurel A. Beckett
- Department of Public Health Sciences, School of Medicine, University of California, Davis, California, United States of America
- * E-mail:
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13
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Okubadejo NU, Okunoye O, Ojo OO, Arabambi B, Akinyemi RO, Osaigbovo GO, Abubakar SA, Iwuozo EU, Wahab KW, Agabi OP, Agulanna U, Imarhiagbe FA, Abiodun OV, Achoru CO, Adebowale AA, Adeniji O, Akpekpe JE, Ali MW, Ani-Osheku I, Arigbodi O, Balarabe SA, Bello AH, Ekenze OS, Erameh CO, Farombi TH, Fawale MB, Komolafe MA, Nwani PO, Nwazor EO, Nyandaiti Y, Obehighe EE, Obiabo YO, Odeniyi OA, Odiase FE, Ojini FI, Onwuegbuzie GA, Osemwegie N, Oshinaike OO, Otubogun FM, Oyakhire SI, Taiwo FT, Williams UE, Ozomma S, Zubair Y, Hernandez D, Bandres-Ciga S, Blauwendraat C, Singleton A, Houlden H, Hardy J, Rizig M. APOE E4 is associated with impaired self-declared cognition but not disease risk or age of onset in Nigerians with Parkinson's disease. NPJ Parkinsons Dis 2022; 8:155. [PMID: 36371506 PMCID: PMC9653490 DOI: 10.1038/s41531-022-00411-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Accepted: 10/11/2022] [Indexed: 11/15/2022] Open
Abstract
The relationship between APOE polymorphisms and Parkinson's disease (PD) in black Africans has not been previously investigated. We evaluated the association between APOE polymorphic variability and self-declared cognition in 1100 Nigerians with PD and 1097 age-matched healthy controls. Cognition in PD was assessed using the single item cognition question (item 1.1) of the MDS-UPDRS. APOE genotype and allele frequencies did not differ between PD and controls (p > 0.05). No allelic or genotypic association was observed between APOE and age at onset of PD. In PD, APOE ε4/ε4 conferred a two-fold risk of cognitive impairment compared to one or no ε4 (HR: 2.09 (95% CI: 1.13-3.89; p = 0.02)), while APOE ε2 was associated with modest protection against cognitive impairment (HR: 0.41 (95% CI 0.19-0.99, p = 0.02)). Of 773 PD with motor phenotype and APOE characterized, tremor-dominant (TD) phenotype predominated significantly in ε2 carriers (87/135, 64.4%) compared to 22.2% in persons with postural instability/gait difficulty (PIGD) (30/135) and 13.3% in indeterminate (ID) (18/135, 13.3%) (p = 0.037). Although the frequency of the TD phenotype was highest in homozygous ε2 carriers (85.7%), the distribution of motor phenotypes across the six genotypes did not differ significantly (p = 0.18). Altogether, our findings support previous studies in other ethnicities, implying a role for APOE ε4 and ε2 as risk and protective factors, respectively, for cognitive impairment in PD.
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Affiliation(s)
- Njideka U Okubadejo
- Neurology Unit, Department of Medicine, Faculty of Clinical Sciences, College of Medicine, University of Lagos, Idi-Araba, Lagos State, Nigeria.
- Neurology Unit, Department of Medicine, Lagos University Teaching Hospital, Idi-Araba, Lagos State, Nigeria.
| | - Olaitan Okunoye
- Department of Molecular Neuroscience, University College London Institute of Neurology, Queen Square, London, UK
| | - Oluwadamilola O Ojo
- Neurology Unit, Department of Medicine, Faculty of Clinical Sciences, College of Medicine, University of Lagos, Idi-Araba, Lagos State, Nigeria
- Neurology Unit, Department of Medicine, Lagos University Teaching Hospital, Idi-Araba, Lagos State, Nigeria
| | - Babawale Arabambi
- School of Population and Public Health, The University of British Columbia, Vancouver, BC, Canada
| | - Rufus O Akinyemi
- Institute for Advanced Medical Research and Training, College of Medicine, University of Ibadan, Ibadan, Oyo State, Nigeria
| | | | - Sani A Abubakar
- Department of Medicine, Ahmadu Bello University Teaching Hospital, Zaria, Kaduna State, Nigeria
| | - Emmanuel U Iwuozo
- Neurology Unit, Benue State University & Benue State University Teaching Hospital, Makurdi, Benue State, Nigeria
| | - Kolawole W Wahab
- Department of Medicine, University of Ilorin & University of Ilorin Teaching Hospital, Ilorin, Kwara State, Nigeria
| | - Osigwe P Agabi
- Neurology Unit, Department of Medicine, Faculty of Clinical Sciences, College of Medicine, University of Lagos, Idi-Araba, Lagos State, Nigeria
- Neurology Unit, Department of Medicine, Lagos University Teaching Hospital, Idi-Araba, Lagos State, Nigeria
| | - Uchechi Agulanna
- Neurology Unit, Department of Medicine, Lagos University Teaching Hospital, Idi-Araba, Lagos State, Nigeria
| | - Frank A Imarhiagbe
- University of Benin & University of Benin Teaching Hospital, Benin City, Edo State, Nigeria
| | | | | | - Akintunde A Adebowale
- Neurology Unit, Department of Medicine, Obafemi Awolowo University & Obafemi Awolowo University Teaching Hospitals Complex, Ile-Ife, Osun State, Nigeria
| | | | | | | | - Ifeyinwa Ani-Osheku
- Asokoro District Hospital, Asokoro, Abuja, Federal Capital Territory, Nigeria
| | - Ohwotemu Arigbodi
- Department of Internal Medicine, Delta State University Teaching Hospital, Oghara, Delta State, Nigeria
| | - Salisu A Balarabe
- Department of Medicine, College of Health Sciences, Usmanu Danfodiyo University & Usmanu Danfodiyo University Teaching Hospital, Sokoto, Sokoto State, Nigeria
| | - Abiodun H Bello
- Department of Medicine, University of Ilorin Teaching Hospital, Ilorin, Kwara State, Nigeria
| | - Oluchi S Ekenze
- Neurology Unit, Department of Medicine, Faculty of Medical Sciences, University of Nigeria & University of Nigeria Teaching Hospital, Ituku Ozalla, Enugu State, Nigeria
| | | | - Temitope H Farombi
- Chief Tony Anenih Geriatrics Center, University College Hospital, Ibadan, Oyo State, Nigeria
| | - Michael B Fawale
- Neurology Unit, Department of Medicine, Obafemi Awolowo University & Obafemi Awolowo University Teaching Hospitals Complex, Ile-Ife, Osun State, Nigeria
| | - Morenikeji A Komolafe
- Neurology Unit, Department of Medicine, Obafemi Awolowo University & Obafemi Awolowo University Teaching Hospitals Complex, Ile-Ife, Osun State, Nigeria
| | - Paul O Nwani
- Nnamdi Azikiwe University Teaching Hospital, Nnewi, Anambra State, Nigeria
| | - Ernest O Nwazor
- Department of Medicine, Madonna University College of Medical Sciences, Elele, Rivers State & Federal Medical Center, Owerri, Imo State, Nigeria
| | - Yakub Nyandaiti
- University of Maiduguri & University of Maiduguri Teaching Hospital, Maiduguri, Borno State, Nigeria
| | | | - Yahaya O Obiabo
- Department of Internal Medicine, Delta State University & Delta State University Teaching Hospital, Oghara, Delta State, Nigeria
| | | | - Francis E Odiase
- University of Benin & University of Benin Teaching Hospital, Benin City, Edo State, Nigeria
| | - Francis I Ojini
- Neurology Unit, Department of Medicine, Faculty of Clinical Sciences, College of Medicine, University of Lagos, Idi-Araba, Lagos State, Nigeria
- Neurology Unit, Department of Medicine, Lagos University Teaching Hospital, Idi-Araba, Lagos State, Nigeria
| | - Gerald A Onwuegbuzie
- University of Abuja & University of Abuja Teaching Hospital, Gwagwalada, Abuja, Federal Capital Territory, Nigeria
| | - Nosakhare Osemwegie
- University of Port Harcourt Teaching Hospital, Port Harcourt, Rivers State, Nigeria
| | - Olajumoke O Oshinaike
- Neurology Unit, Department of Medicine, Faculty of Clinical Sciences, Lagos State University College of Medicine, Ikeja, Lagos State, Nigeria
| | | | - Shyngle I Oyakhire
- Department of Internal Medicine, National Hospital, Abuja, Federal Capital Territory, Nigeria
| | - Funlola T Taiwo
- Department of Medicine, University College Hospital, Ibadan, Oyo State, Nigeria
| | - Uduak E Williams
- Department of Internal Medicine, University of Calabar/University of Calabar Teaching Hospital, Calabar, Cross Rivers State, Nigeria
| | - Simon Ozomma
- Department of Internal Medicine, University of Calabar/University of Calabar Teaching Hospital, Calabar, Cross Rivers State, Nigeria
| | - Yusuf Zubair
- Department of Internal Medicine, National Hospital, Abuja, Federal Capital Territory, Nigeria
| | - Dena Hernandez
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Sara Bandres-Ciga
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
- Center For Alzheimer's and Related Dementias, NIA, NIH, Bethesda, MD, USA
| | - Cornelis Blauwendraat
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
- Center For Alzheimer's and Related Dementias, NIA, NIH, Bethesda, MD, USA
| | - Andrew Singleton
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
- Center For Alzheimer's and Related Dementias, NIA, NIH, Bethesda, MD, USA
| | - Henry Houlden
- Department of Neuromuscular Disease, UCL Queen Square Institute of Neurology and The National Hospital for Neurology and Neurosurgery, London, UK
- Neurogenetics Laboratory, UCL Queen Square Institute of Neurology and The National Hospital for Neurology and Neurosurgery, London, UK
| | - John Hardy
- Department of Molecular Neuroscience, University College London Institute of Neurology, Queen Square, London, UK
| | - Mie Rizig
- Department of Molecular Neuroscience, University College London Institute of Neurology, Queen Square, London, UK
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Cummings J, Kinney J. Biomarkers for Alzheimer's Disease: Context of Use, Qualification, and Roadmap for Clinical Implementation. MEDICINA (KAUNAS, LITHUANIA) 2022; 58:952. [PMID: 35888671 PMCID: PMC9318582 DOI: 10.3390/medicina58070952] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 07/13/2022] [Accepted: 07/15/2022] [Indexed: 12/30/2022]
Abstract
Background and Objectives: The US Food and Drug Administration (FDA) defines a biomarker as a characteristic that is measured as an indicator of normal biological processes, pathogenic processes, or responses to an exposure or intervention. Biomarkers may be used in clinical care or as drug development tools (DDTs) in clinical trials. The goal of this review and perspective is to provide insight into the regulatory guidance for the use of biomarkers in clinical trials and clinical care. Materials and Methods: We reviewed FDA guidances relevant to biomarker use in clinical trials and their transition to use in clinical care. We identified instructive examples of these biomarkers in Alzheimer's disease (AD) drug development and their application in clinical practice. Results: For use in clinical trials, biomarkers must have a defined context of use (COU) as a risk/susceptibility, diagnostic, monitoring, predictive, prognostic, pharmacodynamic, or safety biomarker. A four-stage process defines the pathway to establish the regulatory acceptance of the COU for a biomarker including submission of a letter of intent, description of the qualification plan, submission of a full qualification package, and acceptance through a qualification recommendation. Biomarkers used in clinical care may be companion biomarkers, in vitro diagnostic devices (IVDs), or laboratory developed tests (LDTs). A five-phase biomarker development process has been proposed to structure the biomarker development process. Conclusions: Biomarkers are increasingly important in drug development and clinical care. Adherence to regulatory guidance for biomarkers used in clinical trials and patient care is required to advance these important drug development and clinical tools.
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Affiliation(s)
- Jeffrey Cummings
- Pam Quirk Brain Health and Biomarker Laboratory, Chambers-Grundy Center for Transformative Neuroscience, Department of Brain Health, School of Integrated Health Sciences, University of Nevada Las Vegas, Las Vegas, NV 89154, USA;
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15
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Zanella I, Zacchi E, Fornari C, Fumarola B, Antoni MD, Zizioli D, Quiros-Roldan E. An exploratory pilot study on the involvement of APOE, HFE, C9ORF72 variants and comorbidities in neurocognitive and physical performance in a group of HIV-infected people. Metab Brain Dis 2022; 37:1569-1583. [PMID: 35353274 PMCID: PMC8964929 DOI: 10.1007/s11011-022-00975-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Accepted: 03/24/2022] [Indexed: 11/18/2022]
Abstract
Cognitive decline of aging is modulated by chronic inflammation and comorbidities. In people with HIV-infection (PWH) it may also be affected by HIV-induced inflammation, lifestyle and long-term effects of antiretroviral therapies (ART). The role of genetics in the susceptibility to HIV-associated neurocognitive disorders (HAND) is not fully understood. Here we explored the possible relations among variants in 3 genes involved in inflammation and neurodegenerative disorders (APOE: ε2/ε3/ε4; HFE: H63D; C9ORF72: hexanucleotide expansions ≥ 9 repeats), cognitive/functional impairment (MiniMental State Examination MMSE, Clock Drawing Test CDT, Short Physical Performance Battery SPPB), comorbidities and HIV-related variables in a cohort of > 50 years old PWH (n = 60) with at least 10 years efficient ART. Patients with diabetes or hypertension showed significantly lower MMSE (p = .031) or SPPB (p = .010) scores, respectively, while no relations between HIV-related variables and cognitive/functional scores were observed. Patients with at least one APOEε3 allele had higher CDT scores (p = .019), APOEε2/ε4 patients showing the lowest scores in all tests. Patients with HFE-H63D variant showed more frequently hypertriglyceridemia (p = .023) and those harboring C9ORF72 expansions > 9 repeats had higher CD4+-cell counts (p = .032) and CD4% (p = .041). Multiple linear regression analysis computed to verify possible associations among cognitive/functional scores and all variables further suggested positive association between higher CDT scores and the presence of at least one APOEε3 allele (2,2; 95% CI [0,03 0,8]; p = .037), independent of other variables, although the model did not reach the statistical significance (p = .14). These data suggest that in PWH on efficient ART cognitive abilities and physical performances may be partly associated with comorbidities and genetic background. However, further analyses are needed to establish whether they could be also dependent and influenced by comorbidities and genetic background.
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Affiliation(s)
- Isabella Zanella
- Department of Molecular and Translational Medicine, University of Brescia, 25123, Brescia, Italy.
- Clinical Chemistry Laboratory, Cytogenetics and Molecular Genetics Section, Diagnostic Department, ASST Spedali Civili Di Brescia, 25123, Brescia, Italy.
| | - Eliana Zacchi
- Department of Clinical and Experimental Sciences, University of Brescia, 25123, Brescia, Italy
- Division of Infectious and Tropical Diseases, ASST Spedali Civili Di Brescia, 25123, Brescia, Italy
| | - Chiara Fornari
- Department of Clinical and Experimental Sciences, University of Brescia, 25123, Brescia, Italy
- Division of Infectious and Tropical Diseases, ASST Spedali Civili Di Brescia, 25123, Brescia, Italy
| | - Benedetta Fumarola
- Department of Clinical and Experimental Sciences, University of Brescia, 25123, Brescia, Italy
- Division of Infectious and Tropical Diseases, ASST Spedali Civili Di Brescia, 25123, Brescia, Italy
| | - Melania Degli Antoni
- Department of Clinical and Experimental Sciences, University of Brescia, 25123, Brescia, Italy
- Division of Infectious and Tropical Diseases, ASST Spedali Civili Di Brescia, 25123, Brescia, Italy
| | - Daniela Zizioli
- Department of Molecular and Translational Medicine, University of Brescia, 25123, Brescia, Italy
| | - Eugenia Quiros-Roldan
- Department of Clinical and Experimental Sciences, University of Brescia, 25123, Brescia, Italy
- Division of Infectious and Tropical Diseases, ASST Spedali Civili Di Brescia, 25123, Brescia, Italy
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Liou CW, Chen SH, Lin TK, Tsai MH, Chang CC. Oxidative Stress Biomarkers and Mitochondrial DNA Copy Number Associated with APOE4 Allele and Cholinesterase Inhibitor Therapy in Patients with Alzheimer's Disease. Antioxidants (Basel) 2021; 10:antiox10121971. [PMID: 34943074 PMCID: PMC8750673 DOI: 10.3390/antiox10121971] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2021] [Revised: 12/02/2021] [Accepted: 12/08/2021] [Indexed: 11/16/2022] Open
Abstract
Studies of the oxidative/anti-oxidative status in patients with Alzheimer’s disease (AD) carrying different alleles of the apolipoprotein E (APOE) gene are currently inconclusive; meanwhile, data regarding mitochondrial DNA copy number (mtCN) remain limited. We herein determined the thiobarbituric acid reactive substances (TBARS), thiols, and mtCN in blood samples of 600 AD patients and 601 controls. A significantly higher oxidative TBARS (1.64 μmol/L), lower antioxidative thiols (1.60 μmol/L), and lower mtCN (2.34 log Delta Ct) were found in the AD cohort as compared to the non-AD cohort (1.54 μmol/L, 1.71 μmol/L, 2.46 log Delta Ct). We further identified the ε4 alleles (APOE4) and separated subjects into three groups according to the number of APOE4. A significant trend was noted in the TBARS levels of both AD and non-AD cohorts, highest in the homozygous two alleles (1.86 and 1.80 μmol/L), followed by heterozygous one allele (1.70 and 1.74 μmol/L), and lowest in the no APOE4 allele (1.56 and 1.48 μmol/L). Similar trends of lower thiols and mtCN were also found in the AD cohort. In our study of the influence of cholinesterase inhibitor therapy, we found significantly reduced TBARS levels, and elevated mtCN in AD patients receiving rivastigmine and galantamine therapy. Our study demonstrates associations between the APOE4 allele and oxidative stress biomarkers and mtCN. Using cholinesterase inhibitor therapy may benefit AD patients through attenuation of oxidative stress and manipulation of the mtCN.
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Affiliation(s)
- Chia-Wei Liou
- Department of Neurology, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung 83301, Taiwan; (C.-W.L.); (S.-H.C.); (T.-K.L.)
- Center for Mitochondrial Research and Medicine, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung 83301, Taiwan
| | - Shih-Hsuan Chen
- Department of Neurology, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung 83301, Taiwan; (C.-W.L.); (S.-H.C.); (T.-K.L.)
| | - Tsu-Kung Lin
- Department of Neurology, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung 83301, Taiwan; (C.-W.L.); (S.-H.C.); (T.-K.L.)
- Center for Mitochondrial Research and Medicine, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung 83301, Taiwan
| | - Meng-Han Tsai
- Department of Neurology, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung 83301, Taiwan; (C.-W.L.); (S.-H.C.); (T.-K.L.)
- Correspondence: (M.-H.T.); (C.-C.C.); Tel.: +886-7-7317123 (ext. 2285) (M.-H.T.); +886-7-7318762 (C.-C.C.)
| | - Chiung-Chih Chang
- Department of Neurology, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung 83301, Taiwan; (C.-W.L.); (S.-H.C.); (T.-K.L.)
- Cognition and Aging Center and Institute for Translational Research in Biomedicine, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung 83301, Taiwan
- Correspondence: (M.-H.T.); (C.-C.C.); Tel.: +886-7-7317123 (ext. 2285) (M.-H.T.); +886-7-7318762 (C.-C.C.)
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