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Beydoun MA, Georgescu MF, Fanelli-Kuczmarski MT, Maino Vieytes CA, Banerjee S, Beydoun HA, Evans MK, Zonderman AB. The Interplay of Food Insecurity, Diet Quality, and Dementia Status in their Association with All-Cause Mortality Among Older US Adults in the Health and Retirement Study 2012-2020. J Acad Nutr Diet 2025:S2212-2672(25)00073-5. [PMID: 40049231 DOI: 10.1016/j.jand.2025.02.012] [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: 06/21/2024] [Revised: 02/04/2025] [Accepted: 02/27/2025] [Indexed: 04/23/2025]
Abstract
BACKGROUND All-cause mortality risk and dementia occurrence have been previously hypothesized to be linked with food insecurity and poor dietary quality. OBJECTIVE The aims of the study were to test mediation and interactions between food insecurity, diet quality, and dementia status in relation to all-cause mortality. DESIGN The interplay of food insecurity, diet quality, and dementia in their associations with all-cause mortality was studied, in terms of interactions and mediating effects, using secondary longitudinal data from a sample of older US adults from the Health and Retirement Study (HRS, 2012-2020). Reduced (age, sex, race/ethnicity-adjusted, M1) and fully adjusted (sociodemographic, lifestyle, and health-related factor-adjusted, M2) models were tested, and stratification by sex and race/ethnicity was carried out. PARTICIPANTS/SETTING US older adults (n = 2894; 2012-2014, mean baseline age of 76.4 y) were selected from this national longitudinal sample. MAIN OUTCOME MEASURES The outcome of interest was all-cause mortality risk for follow-up until the end of 2020. STATISTICAL ANALYSES PERFORMED Cox proportional hazards, four-way decomposition, and generalized structural equations models (GSEM) were used. RESULTS Overall, 902 deaths occurred (51 per 1000 person-years). Food insecurity (yes vs no) was not associated with mortality risk in M1, although inversely related to this outcome in M2 (Cox models and GSEM). Food insecurity was directly related to Ln(dementia odds) in M1 only (β ± standard error [SE]: 0.23 ± 0.05, P < .001, GSEM). Diet quality as measured by HEI-2015 (z-scored), although inversely related to food insecurity in reduced GSEM (β ± SE: -0.18 ± 0.06, P = .005), was also inversely related to both Ln(dementia odds), z-scored (β ± SE: -0.14 ± 0.03l P < .001) and mortality risk (LnHR ± SE: -0.14 ± 0.03; P < .001, M1). Ln(dementia odds) was strongly associated with mortality risk (HR = 1.39; 95% CI, 1.31-1.48; P < .001, M2). In both four-way decomposition models and GSEM, the total effect of diet quality on mortality risk was partially mediated through Ln(dementia odds) (M1 and M2), explaining 15%-21% of this total effect. CONCLUSION Diet quality-mortality risk association was partially mediated through dementia, with inconsistent findings observed for food insecurity.
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Affiliation(s)
- May A Beydoun
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Intramural Research Program, NIA/NIH/IRP, Baltimore, MD, 21224 USA.
| | - Michael F Georgescu
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Intramural Research Program, NIA/NIH/IRP, Baltimore, MD, 21224 USA
| | - Marie T Fanelli-Kuczmarski
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Intramural Research Program, NIA/NIH/IRP, Baltimore, MD, 21224 USA
| | - Christian A Maino Vieytes
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Intramural Research Program, NIA/NIH/IRP, Baltimore, MD, 21224 USA
| | - Sri Banerjee
- Public Health Doctoral Programs, Walden University, Minneapolis, MN, USA
| | - Hind A Beydoun
- VA National Center on Homelessness Among Veterans, U.S. Department of Veterans Affairs, Washington, DC, 20420; Department of Management, Policy, and Community Health, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, 77030
| | - Michele K Evans
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Intramural Research Program, NIA/NIH/IRP, Baltimore, MD, 21224 USA
| | - Alan B Zonderman
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Intramural Research Program, NIA/NIH/IRP, Baltimore, MD, 21224 USA
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Jin S, Lu W, Zhang J, Zhang L, Tao F, Zhang Y, Hu X, Liu Q. The mechanisms, hallmarks, and therapies for brain aging and age-related dementia. Sci Bull (Beijing) 2024; 69:3756-3776. [PMID: 39332926 DOI: 10.1016/j.scib.2024.09.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2024] [Revised: 06/14/2024] [Accepted: 09/02/2024] [Indexed: 09/29/2024]
Abstract
Age-related cognitive decline and dementia are significant manifestations of brain aging. As the elderly population grows rapidly, the health and socio-economic impacts of cognitive dysfunction have become increasingly significant. Although clinical treatment of dementia has faced considerable challenges over the past few decades, with limited breakthroughs in slowing its progression, there has been substantial progress in understanding the molecular mechanisms and hallmarks of age-related dementia (ARD). This progress brings new hope for the intervention and treatment of this disease. In this review, we categorize the latest findings in ARD biomarkers into four stages based on disease progression: Healthy brain, pre-clinical, mild cognitive impairment, and dementia. We then systematically summarize the most promising therapeutic approaches to prevent or slow ARD at four levels: Genome and epigenome, organelle, cell, and organ and organism. We emphasize the importance of early prevention and detection, along with the implementation of combined treatments as multimodal intervention strategies, to address brain aging and ARD in the future.
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Affiliation(s)
- Shiyun Jin
- Department of Neurology, The First Affiliated Hospital of USTC, Center for Advanced Interdisciplinary Science and Biomedicine of IHM, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, China; Anhui Province Key Laboratory of Biomedical Aging Research, University of Science and Technology of China, Hefei 230027, China; Department of Anesthesiology, the Second Affiliated Hospital of Anhui Medical University, Hefei 230601, China; Key Laboratory of Anesthesiology and Perioperative Medicine of Anhui Higher Education Institutes, Anhui Medical University, Hefei 230601, China
| | - Wenping Lu
- Department of Anesthesiology, the Second Affiliated Hospital of Anhui Medical University, Hefei 230601, China; Key Laboratory of Anesthesiology and Perioperative Medicine of Anhui Higher Education Institutes, Anhui Medical University, Hefei 230601, China
| | - Juan Zhang
- Department of Neurology, The First Affiliated Hospital of USTC, Center for Advanced Interdisciplinary Science and Biomedicine of IHM, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, China; Anhui Province Key Laboratory of Biomedical Aging Research, University of Science and Technology of China, Hefei 230027, China; Institute on Aging and Brain Disorders, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei 230027, China
| | - Li Zhang
- Laboratory for Integrative Neuroscience, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD 20892, USA
| | - Fangbiao Tao
- MOE Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Hefei 230032, China.
| | - Ye Zhang
- Department of Anesthesiology, the Second Affiliated Hospital of Anhui Medical University, Hefei 230601, China; Key Laboratory of Anesthesiology and Perioperative Medicine of Anhui Higher Education Institutes, Anhui Medical University, Hefei 230601, China.
| | - Xianwen Hu
- Department of Anesthesiology, the Second Affiliated Hospital of Anhui Medical University, Hefei 230601, China; Key Laboratory of Anesthesiology and Perioperative Medicine of Anhui Higher Education Institutes, Anhui Medical University, Hefei 230601, China.
| | - Qiang Liu
- Department of Neurology, The First Affiliated Hospital of USTC, Center for Advanced Interdisciplinary Science and Biomedicine of IHM, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, China; Anhui Province Key Laboratory of Biomedical Aging Research, University of Science and Technology of China, Hefei 230027, China; Institute on Aging and Brain Disorders, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei 230027, China.
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Galvin JE. Lewy Body Dementia. Continuum (Minneap Minn) 2024; 30:1673-1698. [PMID: 39620839 DOI: 10.1212/con.0000000000001496] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2024]
Abstract
OBJECTIVE Lewy body dementia (LBD) is an umbrella term describing two closely related conditions: Parkinson disease dementia (PDD) and dementia with Lewy bodies (DLB). LBD is the second most common cause of neurodegenerative dementia but is often underrecognized in clinical practice. This review covers the key epidemiologic, clinical, cognitive, behavioral, and biomarker features of LBD and discusses current treatment options. LATEST DEVELOPMENTS Indicative biomarkers of LBD improve the ability to make a diagnosis and include single-photon emission computed tomography (SPECT) of the dopamine system (brain) and the noradrenergic system (cardiac), and polysomnography. α-Synuclein-specific biomarkers in spinal fluid, skin, plasma, and brain imaging are in active development with some available for clinical use. Prodromal stages of PDD and DLB have been contextualized, and diagnostic criteria have been published. An emerging theme is whether an integrated staging system focusing on protein aggregation, rather than clinical symptoms, may advance research efforts. ESSENTIAL POINTS LBD is a common cause of cognitive impairment in older adults but is often subject to significant delays in diagnosis and treatment, increasing the burden on patients and family care partners. Understanding key features of disease and the use of biomarkers will improve recognition. Earlier detection may also facilitate the development of new therapeutics and enrollment in clinical trials.
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O’Shea DM, Arkhipenko A, Galasko D, Goldman JG, Sheikh ZH, Petrides G, Toledo JB, Galvin JE. Practical use of DAT SPECT imaging in diagnosing dementia with Lewy bodies: a US perspective of current guidelines and future directions. Front Neurol 2024; 15:1395413. [PMID: 38711561 PMCID: PMC11073567 DOI: 10.3389/fneur.2024.1395413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2024] [Accepted: 03/25/2024] [Indexed: 05/08/2024] Open
Abstract
Background Diagnosing Dementia with Lewy Bodies (DLB) remains a challenge in clinical practice. The use of 123I-ioflupane (DaTscan™) SPECT imaging, which detects reduced dopamine transporter (DAT) uptake-a key biomarker in DLB diagnosis-could improve diagnostic accuracy. However, DAT imaging is underutilized despite its potential, contributing to delays and suboptimal patient management. Methods This review evaluates DLB diagnostic practices and challenges faced within the U.S. by synthesizing information from current literature, consensus guidelines, expert opinions, and recent updates on DaTscan FDA filings. It contrasts DAT SPECT with alternative biomarkers, provides recommendations for when DAT SPECT imaging may be indicated and discusses the potential of emerging biomarkers in enhancing diagnostic approaches. Results The radiopharmaceutical 123I-ioflupane for SPECT imaging was initially approved in Europe (2000) and later in the US (2011) for Parkinsonism/Essential Tremor. Its application was extended in 2022 to include the diagnosis of DLB. DaTscan's diagnostic efficacy for DLB, with its sensitivity, specificity, and predictive values, confirms its clinical utility. However, US implementation faces challenges such as insurance barriers, costs, access issues, and regional availability disparities. Conclusion 123I-ioflupane SPECT Imaging is indicated for DLB diagnosis and differential diagnosis of Alzheimer's Disease, particularly in uncertain cases. Addressing diagnostic obstacles and enhancing physician-patient education could improve and expedite DLB diagnosis. Collaborative efforts among neurologists, geriatric psychiatrists, psychologists, and memory clinic staff are key to increasing diagnostic accuracy and care in DLB management.
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Affiliation(s)
- Deirdre M. O’Shea
- Department of Neurology, Comprehensive Center for Brain Health, University of Miami, Miller School of Medicine, Coral Gables, FL, United States
| | | | - Douglas Galasko
- Department of Neurosciences, UC San Diego, San Diego, CA, United States
| | - Jennifer G. Goldman
- JPG Enterprises LLC, Chicago, IL, United States
- Barrow Neurological Institute, Phoenix, AZ, United States
| | | | - George Petrides
- Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, United Kingdom
| | - Jon B. Toledo
- Nantz National Alzheimer Center, Stanley Appel Department of Neurology, Houston Methodist Hospital, Houston, TX, United States
| | - James E. Galvin
- Department of Neurology, Comprehensive Center for Brain Health, University of Miami, Miller School of Medicine, Coral Gables, FL, United States
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Kopil CM, Asis A, Campbell C, Chowdhury S, Dexter DT, Fargo KN, Lee KK, Matthews H, Taylor A, Xiao Y, Stephenson D. A Coalition to Advance Treatments for Parkinson's Disease, Dementia with Lewy Bodies, and Related Disorders. JOURNAL OF PARKINSON'S DISEASE 2024; 14:1105-1114. [PMID: 39121136 PMCID: PMC11380265 DOI: 10.3233/jpd-230257] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 06/19/2024] [Indexed: 08/11/2024]
Abstract
Parkinson's disease (PD) and dementia with Lewy bodies (DLB) share underlying neuropathology. Despite overlapping biology, therapeutic development has been approached separately for these clinical syndromes and there remains no treatment to slow, stop or prevent progression of clinical symptoms and development disability for people living with PD or DLB. Recent advances in biomarker tools, however, have paved new paths for biologic definition and staging of PD and DLB under a shared research framework. Patient-centered research funding organizations see the opportunity for a novel biological staging system for PD and DLB to accelerate and increase success of therapeutic development for the patient communities they serve. Amid growing momentum in the field to develop biological definitions for these neurodegenerative diseases, 7 international nonprofit organizations focused on PD and DLB came together to drive multistakeholder discussion and input on a biological staging system for research. The impact of these convenings to date can be seen in changes incorporated into a proposed biological staging system and growing alignment within the field to rapidly apply new scientific knowledge and biomarker tools to inform clinical trial design. In working together, likeminded nonprofit partners who were initially catalyzed by the significant potential for a biological staging system also realized the power of a shared voice in calling the field to action and have since worked together to establish a coalition to advance precompetitive progress and reduce hurdles to developing better treatments for PD, DLB and biologically related disorders.
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Affiliation(s)
- Catherine M. Kopil
- The Michael J. Fox Foundation for Parkinson’s Research, New York, NY, USA
| | | | - Clyde Campbell
- Shake It Up Australia Foundation, Spit Junction, NSW, Australia
| | - Sohini Chowdhury
- The Michael J. Fox Foundation for Parkinson’s Research, New York, NY, USA
| | | | | | | | | | | | - Yuge Xiao
- The Michael J. Fox Foundation for Parkinson’s Research, New York, NY, USA
| | - Diane Stephenson
- Critical Path for Parkinson’s Consortium, Critical Path Institute, Tucson, AZ, USA
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Georgescu MF, Beydoun MA, Ashe J, Maino Vieytes CA, Beydoun HA, Evans MK, Zonderman AB. Loneliness, Dementia Status, and Their Association with All-Cause Mortality Among Older US Adults. J Alzheimers Dis 2024; 99:753-772. [PMID: 38701144 DOI: 10.3233/jad-231359] [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: 05/05/2024]
Abstract
Background Loneliness, dementia, and mortality are interconnected. Objective We aimed at understanding mediating pathways and interactions between loneliness and dementia in relation to mortality risk. Methods The study tested bi-directional relationships between dementia, loneliness, and mortality, by examining both interactions and mediating effects in a large sample of older US adults participating in the nationally representative Health and Retirement Study. Out of≤6,468 older participants selected in 2010, with mean baseline age of 78.3 years and a follow-up time up to the end of 2020, 3,298 died at a rate of 64 per 1,000 person-years (P-Y). Cox proportional hazards and four-way decomposition models were used. Results Algorithmically defined dementia status (yes versus no) was consistently linked with a more than two-fold increase in mortality risk. Dementia status and Ln(odds of dementia) were strongly related with mortality risk across tertiles of loneliness score. Loneliness z-score was also linked to an elevated risk of all-cause mortality regardless of age, sex, or race or ethnicity, and its total effect (TE) on mortality was partially mediated by Ln(odds of dementia), z-scored, (≤40% of the TE was a pure indirect effect). Conversely, a small proportion (<5%) of the TE of Ln(odds of dementia), z-scored, on mortality risk was explained by the loneliness z-score. Conclusions In sum, dementia was positively associated with all-cause mortality risk, in similar fashion across loneliness score tertiles, while loneliness was associated with mortality risk. TE of loneliness on mortality risk was partially mediated by dementia odds in reduced models.
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Affiliation(s)
- Michael F Georgescu
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Intramural Research Program, NIA/NIH/IRP, Baltimore, MD, USA
| | - May A Beydoun
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Intramural Research Program, NIA/NIH/IRP, Baltimore, MD, USA
| | - Jason Ashe
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Intramural Research Program, NIA/NIH/IRP, Baltimore, MD, USA
| | - Christian A Maino Vieytes
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Intramural Research Program, NIA/NIH/IRP, Baltimore, MD, USA
| | - Hind A Beydoun
- U.S. Department of Veterans Affairs, VA National Center on Homelessness Among Veterans, Washington, DC, USA
- Department of Management, Policy, and Community Health, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Michele K Evans
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Intramural Research Program, NIA/NIH/IRP, Baltimore, MD, USA
| | - Alan B Zonderman
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Intramural Research Program, NIA/NIH/IRP, Baltimore, MD, USA
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Majeed J, Sabbagh MN, Kang MH, Lawrence JJ, Pruitt K, Bacus S, Reyna E, Brown M, Decourt B. Cancer drugs with high repositioning potential for Alzheimer's disease. Expert Opin Emerg Drugs 2023; 28:311-332. [PMID: 38100555 PMCID: PMC10877737 DOI: 10.1080/14728214.2023.2296079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Accepted: 12/13/2023] [Indexed: 12/17/2023]
Abstract
INTRODUCTION Despite the recent full FDA approval of lecanemab, there is currently no disease modifying therapy (DMT) that can efficiently slow down the progression of Alzheimer's disease (AD) in the general population. This statement emphasizes the need to identify novel DMTs in the shortest time possible to prevent a global epidemic of AD cases as the world population experiences an increase in lifespan. AREAS COVERED Here, we review several classes of anti-cancer drugs that have been or are being investigated in Phase II/III clinical trials for AD, including immunomodulatory drugs, RXR agonists, sex hormone therapies, tyrosine kinase inhibitors, and monoclonal antibodies. EXPERT OPINION Given the overall course of brain pathologies during the progression of AD, we express a great enthusiasm for the repositioning of anti-cancer drugs as possible AD DMTs. We anticipate an increasing number of combinatorial therapy strategies to tackle AD symptoms and their underlying pathologies. However, we strongly encourage improvements in clinical trial study designs to better assess target engagement and possible efficacy over sufficient periods of drug exposure.
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Affiliation(s)
- Jad Majeed
- University of Arizona Honors College, Tucson, Arizona, USA
| | - Marwan N. Sabbagh
- Alzheimer’s and Memory Disorders Division, Department of Neurology, Barrow Neurological Institute, Phoenix, Arizona, USA
| | - Min H. Kang
- Department of Pediatrics, Cancer Center, School of Medicine, Texas Tech University Health Sciences Center, Lubbock, Texas, USA
| | - J. Josh Lawrence
- Department of Pharmacology and Neuroscience, School of Medicine, Texas Tech University Health Sciences Center, Lubbock, Texas, USA
| | - Kevin Pruitt
- Department of Pharmacology, Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina, USA
| | | | - Ellie Reyna
- Department of Pharmacology and Neuroscience, School of Medicine, Texas Tech University Health Sciences Center, Lubbock, Texas, USA
| | - Maddy Brown
- Department of Pharmacology and Neuroscience, School of Medicine, Texas Tech University Health Sciences Center, Lubbock, Texas, USA
| | - Boris Decourt
- Department of Pharmacology and Neuroscience, School of Medicine, Texas Tech University Health Sciences Center, Lubbock, Texas, USA
- Roseman University of Health Sciences, Las Vegas, Nevada, USA
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