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Wu B, Liu Y, Li H, Zhu L, Zeng L, Zhang Z, Peng W. Liver as a new target organ in Alzheimer's disease: insight from cholesterol metabolism and its role in amyloid-beta clearance. Neural Regen Res 2025; 20:695-714. [PMID: 38886936 DOI: 10.4103/1673-5374.391305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Accepted: 11/07/2023] [Indexed: 06/20/2024] Open
Abstract
Alzheimer's disease, the primary cause of dementia, is characterized by neuropathologies, such as amyloid plaques, synaptic and neuronal degeneration, and neurofibrillary tangles. Although amyloid plaques are the primary characteristic of Alzheimer's disease in the central nervous system and peripheral organs, targeting amyloid-beta clearance in the central nervous system has shown limited clinical efficacy in Alzheimer's disease treatment. Metabolic abnormalities are commonly observed in patients with Alzheimer's disease. The liver is the primary peripheral organ involved in amyloid-beta metabolism, playing a crucial role in the pathophysiology of Alzheimer's disease. Notably, impaired cholesterol metabolism in the liver may exacerbate the development of Alzheimer's disease. In this review, we explore the underlying causes of Alzheimer's disease and elucidate the role of the liver in amyloid-beta clearance and cholesterol metabolism. Furthermore, we propose that restoring normal cholesterol metabolism in the liver could represent a promising therapeutic strategy for addressing Alzheimer's disease.
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Affiliation(s)
- Beibei Wu
- Department of Integrated Traditional Chinese & Western Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan Province, China
| | - Yuqing Liu
- Department of Integrated Traditional Chinese & Western Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan Province, China
| | - Hongli Li
- Department of Integrated Traditional Chinese & Western Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan Province, China
| | - Lemei Zhu
- Academician Workstation, Changsha Medical University, Changsha, Hunan Province, China
| | - Lingfeng Zeng
- Academician Workstation, Changsha Medical University, Changsha, Hunan Province, China
| | - Zhen Zhang
- Department of Integrated Traditional Chinese & Western Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan Province, China
- Yangsheng College of Traditional Chinese Medicine, Guizhou University of Traditional Chinese Medicine, Guiyang, Guizhou Province, China
- Qinhuangdao Shanhaiguan Pharmaceutical Co., Ltd, Qinhuangdao, Hebei Province, China
| | - Weijun Peng
- Department of Integrated Traditional Chinese & Western Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan Province, China
- National Clinical Research Center for Mental Disorder, The Second Xiangya Hospital, Central South University, Changsha, Hunan Province, China
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2
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Chen L, Yang G, Qu F. Aptamer-based sensors for fluid biopsies of protein disease markers. Talanta 2024; 276:126246. [PMID: 38796994 DOI: 10.1016/j.talanta.2024.126246] [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: 02/18/2024] [Revised: 05/08/2024] [Accepted: 05/10/2024] [Indexed: 05/29/2024]
Abstract
Fluid biopsy technology, characterized by its minimally invasive nature, speed, and continuity, has become a rapidly advancing and widely applied real-time diagnostic technique. Among various biomarkers, proteins represent the most abundant class of disease indicators. The sensitive and accurate detection of protein markers in bodily fluids is significantly influenced by the control exerted by recognition ligands. Aptamers, which are structurally dynamic functional oligonucleotides, exhibit high affinity, specific recognition of targets, and notable characteristics of high editability and modularity. These features make aptamer universal "recognition-capture" components, contribute to a significant leap in their applications within the biosensor domain. In this context, we provide a comprehensive review of the extensive application of aptamer-based biosensors in fluid biopsy. We systematically compile the characteristics and construction strategies of aptamer-based biosensors tailored for fluid biopsy, including aptamer sequences, affinity (KD), fluid background, sensing technologies, sensor construction strategies, incubation time, detection performance, and influencing factors. Furthermore, a comparative analysis of their advantages and disadvantages was conducted. In conclusion, we delineate and deliberate on prospective research trajectories and challenges that lie ahead in the realm of aptamer-based biosensors for fluid biopsy.
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Affiliation(s)
- Li Chen
- School of Life Science, Key Laboratory of Molecular Medicine and Biotherapy, Key Laboratory of Medical Molecule Science and Pharmaceutics Engineering, Beijing Institute of Technology, Beijing, 100081, China
| | - Ge Yang
- CAMS Key Laboratory of Antiviral Drug Research, Beijing Key Laboratory of Antimicrobial Agents, NHC Key Laboratory of Biotechnology of Antibiotics, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100050, China.
| | - Feng Qu
- School of Life Science, Key Laboratory of Molecular Medicine and Biotherapy, Key Laboratory of Medical Molecule Science and Pharmaceutics Engineering, Beijing Institute of Technology, Beijing, 100081, China.
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3
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Sethi P, Bhaskar R, Singh KK, Gupta S, Han SS, Avinash D, Abomughaid MM, Koul A, Rani B, Ghosh S, Jha NK, Sinha JK. Exploring Advancements in Early Detection of Alzheimer's Disease with Molecular Assays and Animal Models. Ageing Res Rev 2024:102411. [PMID: 38986845 DOI: 10.1016/j.arr.2024.102411] [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: 06/14/2024] [Revised: 07/04/2024] [Accepted: 07/04/2024] [Indexed: 07/12/2024]
Abstract
Alzheimer's Disease (AD) is a challenging neurodegenerative condition, with overwhelming implications for affected individuals and healthcare systems worldwide. Animal models have played a crucial role in studying AD pathogenesis and testing therapeutic interventions. Remarkably, studies on the genetic factors affecting AD risk, such as APOE and TREM2, have provided valuable insights into disease mechanisms. Early diagnosis has emerged as a crucial factor in effective AD management, as demonstrated by clinical studies emphasizing the benefits of initiating treatment at early stages. Novel diagnostic technologies, including RNA sequencing of microglia, offer promising avenues for early detection and monitoring of AD progression. Therapeutic strategies remain to evolve, with a focus on targeting amyloid beta (Aβ) and tau pathology. Advances in animal models, such as APP-KI mice, and the advancement of anti-Aβ drugs signify progress towards more effective treatments. Therapeutically, the focus has shifted towards intricate approaches targeting multiple pathological pathways simultaneously. Strategies aimed at reducing Aβ plaque accumulation, inhibiting tau hyperphosphorylation, and modulating neuroinflammation are actively being explored, both in preclinical models and clinical trials. While challenges continue in developing validated animal models and translating preclinical findings to clinical success, the continuing efforts in understanding AD at molecular, cellular, and clinical levels offer hope for improved management and eventual prevention of this devastating disease.
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Affiliation(s)
- Paalki Sethi
- GloNeuro, Sector 107, Vishwakarma Road, Noida, Uttar Pradesh 201301 India
| | - Rakesh Bhaskar
- School of Chemical Engineering, Yeungnam University, Gyeonsang 38541 Republic of Korea
| | - Krishna Kumar Singh
- Symbiosis Centre for Information Technology (SCIT), Rajiv Gandhi InfoTech Park, Hinjawadi, Pune, Maharashtra 411057 India
| | - Saurabh Gupta
- Department of Biotechnology, GLA University, Mathura, Uttar Pradesh, India
| | - Sung Soo Han
- School of Chemical Engineering, Yeungnam University, Gyeonsang 38541 Republic of Korea; Research Institute of Cell Culture, Yeungnam University, Gyeonsang 38541 Republic of Korea
| | - D Avinash
- Center for Global Health Research, Saveetha Medical College, Saveetha Institute of Medical and Technical Sciences, India
| | - Mosleh Mohammad Abomughaid
- Department of Medical Laboratory Sciences, College of Applied Medical Sciences, University of Bisha, Bisha 61922, Saudi Arabia
| | - Apurva Koul
- Chandigarh Pharmacy College, Chandigarh Group of Colleges, Jhanjeri, Mohali 140307, Punjab
| | - Bindu Rani
- Department of Medicine, National Institute of Medical Sciences, NIMS University Rajsthan, Jaipur, India
| | - Shampa Ghosh
- GloNeuro, Sector 107, Vishwakarma Road, Noida, Uttar Pradesh 201301 India.
| | - Niraj Kumar Jha
- Centre of Research Impact and Outcome, Chitkara University, Rajpura 140401, Punjab, India; School of Bioengineering & Biosciences, Lovely Professional University, Phagwara 144411, India; Department of Biotechnology, School of Applied & Life Sciences (SALS), Uttaranchal University, Dehradun, 248007, India.
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4
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Wanionok NE, Morel GR, Fernández JM. Osteoporosis and Alzheimer´s disease (or Alzheimer´s disease and Osteoporosis). Ageing Res Rev 2024; 99:102408. [PMID: 38969142 DOI: 10.1016/j.arr.2024.102408] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Revised: 07/02/2024] [Accepted: 07/02/2024] [Indexed: 07/07/2024]
Abstract
Alzheimer's disease (AD) and osteoporosis are two diseases that mainly affect elderly people, with increases in the occurrence of cases due to a longer life expectancy. Several epidemiological studies have shown a reciprocal association between both diseases, finding an increase in incidence of osteoporosis in patients with AD, and a higher burden of AD in osteoporotic patients. This epidemiological relationship has motivated the search for molecules, genes, signaling pathways and mechanisms that are related to both pathologies. The mechanisms found in these studies can serve to improve treatments and establish better patient care protocols.
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Affiliation(s)
- Nahuel E Wanionok
- Laboratorio de Osteopatías y Metabolismo Mineral (LIOMM), Facultad de Cs. Exactas. Universidad Nacional de La Plata UNLP-CIC, Argentina
| | - Gustavo R Morel
- Biochemistry Research Institute of La Plata "Professor Doctor Rodolfo R. Brenner" (INIBIOLP), Argentina
| | - Juan M Fernández
- Laboratorio de Osteopatías y Metabolismo Mineral (LIOMM), Facultad de Cs. Exactas. Universidad Nacional de La Plata UNLP-CIC, Argentina.
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5
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Ma Y, Wang D, Li H, Ma X, Zou Y, Mu D, Cheng X, Qiu L, Yu S. Liquid chromatography-tandem mass spectrometry in clinical laboratory protein measurement. Clin Chim Acta 2024:119846. [PMID: 38969085 DOI: 10.1016/j.cca.2024.119846] [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: 03/17/2024] [Revised: 06/30/2024] [Accepted: 07/02/2024] [Indexed: 07/07/2024]
Abstract
Proteins are essential components of human cells and tissues, and they are commonly measured in clinical laboratories using immunoassays. However, these assays have certain limitations, such as non-specificity binding, insufficient selectivity, and interference of antibodies. More sensitive, accurate, and efficient technology is required to overcome these limitations. Liquid chromatography-tandem mass spectrometry (LC-MS/MS) is a powerful analytical tool that provides high sensitivity and specificity, making it superior to traditional methods such as biochemical and immunoassays. While LC-MS/MS has been increasingly used for detecting small molecular analytes and steroid hormones in clinical practice recently, its application for protein or peptide analysis is still in its early stages. Established methods for quantifying proteins and peptides by LC-MS/MS are mainly focused on scientific research, and only a few proteins and peptides can be or have the potential to be detected and applied in clinical practice. Therefore, this article aims to review the clinical applications, advantages, and challenges of analyzing proteins and peptides using LC-MS/MS in clinical laboratories.
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Affiliation(s)
- Yichen Ma
- Department of Laboratory Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, No. 1 Shuaifu Yuan, Dongcheng District, Beijing 100730, China
| | - Danchen Wang
- Department of Laboratory Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, No. 1 Shuaifu Yuan, Dongcheng District, Beijing 100730, China
| | - Honglei Li
- Department of Laboratory Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, No. 1 Shuaifu Yuan, Dongcheng District, Beijing 100730, China
| | - Xiaoli Ma
- Department of Laboratory Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, No. 1 Shuaifu Yuan, Dongcheng District, Beijing 100730, China
| | - Yutong Zou
- Department of Laboratory Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, No. 1 Shuaifu Yuan, Dongcheng District, Beijing 100730, China
| | - Danni Mu
- Department of Laboratory Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, No. 1 Shuaifu Yuan, Dongcheng District, Beijing 100730, China
| | - Xinqi Cheng
- Department of Laboratory Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, No. 1 Shuaifu Yuan, Dongcheng District, Beijing 100730, China.
| | - Ling Qiu
- Department of Laboratory Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, No. 1 Shuaifu Yuan, Dongcheng District, Beijing 100730, China; State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China.
| | - Songlin Yu
- Department of Laboratory Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, No. 1 Shuaifu Yuan, Dongcheng District, Beijing 100730, China.
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6
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Chu H, Huang C, Guan Y, Xie F, Chen M, Guo Q. The associations between nutritional status and physical frailty and Alzheimer's disease plasma biomarkers in older cognitively unimpaired adults with positive of amyloid-β PET. Clin Nutr 2024; 43:1647-1656. [PMID: 38810424 DOI: 10.1016/j.clnu.2024.05.024] [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: 02/01/2024] [Revised: 05/06/2024] [Accepted: 05/12/2024] [Indexed: 05/31/2024]
Abstract
BACKGROUND & AIMS It has been revealed good nutritional status and no physical frailty, which are modifiable lifestyle factors, are linked to less cognitive decline and a lower risk of Alzheimer's disease (AD). We aimed to investigate the associations between nutritional status and physical frailty and plasma AD biomarkers, especially the Tau-associated biomarkers in older cognitively unimpaired (CU) adults with higher β-amyloid (Aβ) burden. METHODS The nutritional status and physical frailty were assessed via Mini-Nutritional Assessment Short-Form (MNA-SF) and Fried frailty index. The participants underwent the examination of plasma AD biomarkers and 18F-florbetapir PET scan as well as 18F-MK6240 PET in the validation cohort. Correlation and multiple linear regression analyses were used to investigate the associations between nutritional status and frailty and AD biomarkers. RESULTS Two cohorts were included in our study. A total of 129 participants with Aβ-PET positive were enrolled in the development cohort. Multiple linear regression analysis showed MNA-SF scores, normal nutritional status, Fried frailty index scores, frailty and some domains of frailty including weight loss, maximal grip strength and exhaustion were associated with plasma p-Tau-181. Furthermore, weight loss, Fried frailty index scores and frailty were associated with higher Aβ-PET standard uptake value ratio. We further performed subgroup analyses stratified by age, sex and apolipoprotein E ε4 genotype to investigate the beneficial characteristics of nutrition and frailty in the special subgroups. Validation cohort contained 38 Aβ-PET positive participants. MNA-SF scores, normal nutritional status, Fried frailty index scores and frailty were associated with Tau burden evaluated by 18F-MK6240 PET Braak-like stages. CONCLUSIONS Our data indicates that normal nutritional status and no physical frailty may be associated with expected trend of plasma AD biomarkers, especially less Tau pathology in older CU adults with Aβ deposition. Adjusting to these characteristics of nutrition and physical frailty may help reduce the risk of AD development.
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Affiliation(s)
- Heling Chu
- Department of Gerontology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chuyi Huang
- Health Management Center, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China
| | - Yihui Guan
- PET Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Fang Xie
- PET Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Meirong Chen
- Department of Neurorehabilitation High Dependency Unit, Jiangwan Hospital, Shanghai, China.
| | - Qihao Guo
- Department of Gerontology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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7
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Schindler SE, Galasko D, Pereira AC, Rabinovici GD, Salloway S, Suárez-Calvet M, Khachaturian AS, Mielke MM, Udeh-Momoh C, Weiss J, Batrla R, Bozeat S, Dwyer JR, Holzapfel D, Jones DR, Murray JF, Partrick KA, Scholler E, Vradenburg G, Young D, Algeciras-Schimnich A, Aubrecht J, Braunstein JB, Hendrix J, Hu YH, Mattke S, Monane M, Reilly D, Somers E, Teunissen CE, Shobin E, Vanderstichele H, Weiner MW, Wilson D, Hansson O. Acceptable performance of blood biomarker tests of amyloid pathology - recommendations from the Global CEO Initiative on Alzheimer's Disease. Nat Rev Neurol 2024; 20:426-439. [PMID: 38866966 DOI: 10.1038/s41582-024-00977-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/16/2024] [Indexed: 06/14/2024]
Abstract
Anti-amyloid treatments for early symptomatic Alzheimer disease have recently become clinically available in some countries, which has greatly increased the need for biomarker confirmation of amyloid pathology. Blood biomarker (BBM) tests for amyloid pathology are more acceptable, accessible and scalable than amyloid PET or cerebrospinal fluid (CSF) tests, but have highly variable levels of performance. The Global CEO Initiative on Alzheimer's Disease convened a BBM Workgroup to consider the minimum acceptable performance of BBM tests for clinical use. Amyloid PET status was identified as the reference standard. For use as a triaging test before subsequent confirmatory tests such as amyloid PET or CSF tests, the BBM Workgroup recommends that a BBM test has a sensitivity of ≥90% with a specificity of ≥85% in primary care and ≥75-85% in secondary care depending on the availability of follow-up testing. For use as a confirmatory test without follow-up tests, a BBM test should have performance equivalent to that of CSF tests - a sensitivity and specificity of ~90%. Importantly, the predictive values of all biomarker tests vary according to the pre-test probability of amyloid pathology and must be interpreted in the complete clinical context. Use of BBM tests that meet these performance standards could enable more people to receive an accurate and timely Alzheimer disease diagnosis and potentially benefit from new treatments.
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Affiliation(s)
- Suzanne E Schindler
- Department of Neurology, Knight Alzheimer's Disease Research Center, Washington University School of Medicine, St Louis, MO, USA.
| | - Douglas Galasko
- Department of Neurosciences, University of California, San Diego, La Jolla, CA, USA
| | - Ana C Pereira
- Department of Neurology, Icahn School of Medicine, Mount Sinai, New York, NY, USA
| | - Gil D Rabinovici
- Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
- Department of Radiology and Biomedical Imaging, Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Stephen Salloway
- Department of Neurology, Alpert Medical School, Brown University, Providence, RI, USA
| | - Marc Suárez-Calvet
- Barcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain
| | | | - Michelle M Mielke
- Department of Epidemiology and Prevention, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Chi Udeh-Momoh
- Department of Epidemiology and Prevention, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Joan Weiss
- US Department of Health and Human Services, Health Resources and Services Administration, Bureau of Health Workforce, Rockville, MD, USA
| | | | | | - John R Dwyer
- Global Alzheimer's Platform Foundation, Washington, DC, USA
| | - Drew Holzapfel
- The Global CEO Initiative on Alzheimer's Disease, Philadelphia, PA, USA
| | | | | | | | - Emily Scholler
- The Global CEO Initiative on Alzheimer's Disease, Philadelphia, PA, USA
| | - George Vradenburg
- Davos Alzheimer's Collaborative, Philadelphia, PA, USA
- UsAgainstAlzheimer's, Washington, DC, USA
| | | | | | | | | | | | | | - Soeren Mattke
- The USC Brain Health Observatory, University of Southern California, Los Angeles, CA, USA
| | | | | | | | - Charlotte E Teunissen
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam University Medical Centers, Vrije Universitiet, Amsterdam, The Netherlands
| | | | | | - Michael W Weiner
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA
- Department of Medicine, University of California, San Francisco, CA, USA
- Department of Psychiatry, University of California, San Francisco, CA, USA
- Department of Neurology, University of California, San Francisco, CA, USA
| | | | - Oskar Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden.
- Memory Clinic, Skåne University Hospital, Malmö, Sweden.
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8
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Devanarayan V, Doherty T, Charil A, Sachdev P, Ye Y, Murali LK, Llano DA, Zhou J, Reyderman L, Hampel H, Kramer LD, Dhadda S, Irizarry MC. Plasma pTau217 predicts continuous brain amyloid levels in preclinical and early Alzheimer's disease. Alzheimers Dement 2024. [PMID: 38940656 DOI: 10.1002/alz.14073] [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: 04/08/2024] [Revised: 05/24/2024] [Accepted: 05/24/2024] [Indexed: 06/29/2024]
Abstract
BACKGROUND This study investigated the potential of phosphorylated plasma Tau217 ratio (pTau217R) and plasma amyloid beta (Aβ) 42/Aβ40 in predicting brain amyloid levels measured by positron emission tomography (PET) Centiloid (CL) for Alzheimer's disease (AD) staging and screening. METHODS Quantification of plasma pTau217R and Aβ42/Aβ40 employed immunoprecipitation-mass spectrometry. CL prediction models were developed on a cohort of 904 cognitively unimpaired, preclinical and early AD subjects and validated on two independent cohorts. RESULTS Models integrating pTau217R outperformed Aβ42/Aβ40 alone, predicting amyloid levels up to 89.1 CL. High area under the receiver operating characteristic curve (AUROC) values (89.3% to 94.7%) were observed across a broad CL range (15 to 90). Utilizing pTau217R-based models for low amyloid levels reduced PET scans by 70.5% to 78.6%. DISCUSSION pTau217R effectively predicts brain amyloid levels, surpassing cerebrospinal fluid Aβ42/Aβ40's range. Combining it with plasma Aβ42/Aβ40 enhances sensitivity for low amyloid detection, reducing unnecessary PET scans and expanding clinical utility. HIGHLIGHTS Phosphorylated plasma Tau217 ratio (pTau217R) effectively predicts amyloid-PET Centiloid (CL) across a broad spectrum. Integrating pTau217R with Aβ42/Aβ40 extends the CL prediction upper limit to 89.1 CL. Combined model predicts amyloid status with high accuracy, especially in cognitively unimpaired individuals. This model identifies subjects above or below various CL thresholds with high accuracy. pTau217R-based models significantly reduce PET scans by up to 78.6% for screening out individuals with no/low amyloid.
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Affiliation(s)
- Viswanath Devanarayan
- Eisai Inc., Clinical Evidence Generation, Nutley, New Jersey, USA
- Department of Mathematics, Statistics and Computer Science, University of Illinois Chicago, Chicago, Illinois, USA
| | | | - Arnaud Charil
- Eisai Inc., Clinical Evidence Generation, Nutley, New Jersey, USA
| | - Pallavi Sachdev
- Eisai Inc., Clinical Evidence Generation, Nutley, New Jersey, USA
| | - Yuanqing Ye
- Eisai Inc., Clinical Evidence Generation, Nutley, New Jersey, USA
| | | | - Daniel A Llano
- Carle Illinois College of Medicine, Urbana, Illinois, USA
- Department of Molecular and Integrative Physiology, University of Illinois Urbana-Champaign, Urbana, Illinois, USA
- Beckman Institute for Advanced Science and Technology, Urbana, Illinois, USA
| | - Jin Zhou
- Eisai Inc., Clinical Evidence Generation, Nutley, New Jersey, USA
| | - Larisa Reyderman
- Eisai Inc., Clinical Evidence Generation, Nutley, New Jersey, USA
| | - Harald Hampel
- Eisai Inc., Clinical Evidence Generation, Nutley, New Jersey, USA
| | - Lynn D Kramer
- Eisai Inc., Clinical Evidence Generation, Nutley, New Jersey, USA
| | - Shobha Dhadda
- Eisai Inc., Clinical Evidence Generation, Nutley, New Jersey, USA
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9
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Jack CR, Andrews JS, Beach TG, Buracchio T, Dunn B, Graf A, Hansson O, Ho C, Jagust W, McDade E, Molinuevo JL, Okonkwo OC, Pani L, Rafii MS, Scheltens P, Siemers E, Snyder HM, Sperling R, Teunissen CE, Carrillo MC. Revised criteria for diagnosis and staging of Alzheimer's disease: Alzheimer's Association Workgroup. Alzheimers Dement 2024. [PMID: 38934362 DOI: 10.1002/alz.13859] [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: 02/07/2024] [Revised: 03/21/2024] [Accepted: 04/04/2024] [Indexed: 06/28/2024]
Abstract
The National Institute on Aging and the Alzheimer's Association convened three separate work groups in 2011 and single work groups in 2012 and 2018 to create recommendations for the diagnosis and characterization of Alzheimer's disease (AD). The present document updates the 2018 research framework in response to several recent developments. Defining diseases biologically, rather than based on syndromic presentation, has long been standard in many areas of medicine (e.g., oncology), and is becoming a unifying concept common to all neurodegenerative diseases, not just AD. The present document is consistent with this principle. Our intent is to present objective criteria for diagnosis and staging AD, incorporating recent advances in biomarkers, to serve as a bridge between research and clinical care. These criteria are not intended to provide step-by-step clinical practice guidelines for clinical workflow or specific treatment protocols, but rather serve as general principles to inform diagnosis and staging of AD that reflect current science. HIGHLIGHTS: We define Alzheimer's disease (AD) to be a biological process that begins with the appearance of AD neuropathologic change (ADNPC) while people are asymptomatic. Progression of the neuropathologic burden leads to the later appearance and progression of clinical symptoms. Early-changing Core 1 biomarkers (amyloid positron emission tomography [PET], approved cerebrospinal fluid biomarkers, and accurate plasma biomarkers [especially phosphorylated tau 217]) map onto either the amyloid beta or AD tauopathy pathway; however, these reflect the presence of ADNPC more generally (i.e., both neuritic plaques and tangles). An abnormal Core 1 biomarker result is sufficient to establish a diagnosis of AD and to inform clinical decision making throughout the disease continuum. Later-changing Core 2 biomarkers (biofluid and tau PET) can provide prognostic information, and when abnormal, will increase confidence that AD is contributing to symptoms. An integrated biological and clinical staging scheme is described that accommodates the fact that common copathologies, cognitive reserve, and resistance may modify relationships between clinical and biological AD stages.
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Affiliation(s)
- Clifford R Jack
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA
| | - J Scott Andrews
- Global Evidence & Outcomes, Takeda Pharmaceuticals Company Limited, Cambridge, Massachusetts, USA
| | - Thomas G Beach
- Civin Laboratory for Neuropathology, Banner Sun Health Research Institute, Sun City, Arizona, USA
| | - Teresa Buracchio
- Office of Neuroscience, U.S. Food and Drug Administration, Silver Spring, Maryland, USA
| | - Billy Dunn
- The Michael J. Fox Foundation for Parkinson's Research, New York, New York, USA
| | - Ana Graf
- Novartis, Neuroscience Global Drug Development, Basel, Switzerland
| | - Oskar Hansson
- Department of Clinical Sciences Malmö, Faculty of Medicine, Lund University, Lund, Sweden
- Memory Clinic, Skåne University Hospital, Malmö, Lund, Sweden
| | - Carole Ho
- Development, Denali Therapeutics, South San Francisco, California, USA
| | - William Jagust
- School of Public Health and Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, California, USA
| | - Eric McDade
- Department of Neurology, Washington University St. Louis School of Medicine, St. Louis, Missouri, USA
| | - Jose Luis Molinuevo
- Department of Global Clinical Development H. Lundbeck A/S, Experimental Medicine, Copenhagen, Denmark
| | - Ozioma C Okonkwo
- Department of Medicine, Division of Geriatrics and Gerontology, University of Wisconsin School of Medicine, Madison, Wisconsin, USA
| | - Luca Pani
- University of Miami, Miller School of Medicine, Miami, Florida, USA
| | - Michael S Rafii
- Alzheimer's Therapeutic Research Institute (ATRI), Keck School of Medicine at the University of Southern California, San Diego, California, USA
| | - Philip Scheltens
- Amsterdam University Medical Center (Emeritus), Neurology, Amsterdam, the Netherlands
| | - Eric Siemers
- Clinical Research, Acumen Pharmaceuticals, Zionsville, Indiana, USA
| | - Heather M Snyder
- Medical & Scientific Relations Division, Alzheimer's Association, Chicago, Illinois, USA
| | - Reisa Sperling
- Department of Neurology, Brigham and Women's Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Charlotte E Teunissen
- Department of Laboratory Medicine, Amsterdam UMC, Neurochemistry Laboratory, Amsterdam, the Netherlands
| | - Maria C Carrillo
- Medical & Scientific Relations Division, Alzheimer's Association, Chicago, Illinois, USA
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Arranz J, Zhu N, Rubio-Guerra S, Rodríguez-Baz Í, Ferrer R, Carmona-Iragui M, Barroeta I, Illán-Gala I, Santos-Santos M, Fortea J, Lleó A, Tondo M, Alcolea D. Diagnostic performance of plasma pTau 217, pTau 181, Aβ 1-42 and Aβ 1-40 in the LUMIPULSE automated platform for the detection of Alzheimer disease. Alzheimers Res Ther 2024; 16:139. [PMID: 38926773 PMCID: PMC11200993 DOI: 10.1186/s13195-024-01513-9] [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: 12/08/2023] [Accepted: 06/20/2024] [Indexed: 06/28/2024]
Abstract
BACKGROUND Recently developed blood markers for Alzheimer's disease (AD) detection have high accuracy but usually require ultra-sensitive analytic tools not commonly available in clinical laboratories, and their performance in clinical practice is unknown. METHODS We analyzed plasma samples from 290 consecutive participants that underwent lumbar puncture in routine clinical practice in a specialized memory clinic (66 cognitively unimpaired, 130 participants with mild cognitive impairment, and 94 with dementia). Participants were classified as amyloid positive (A +) or negative (A-) according to CSF Aβ1-42/Aβ1-40 ratio. Plasma pTau217, pTau181, Aβ1-42 and Aβ1-40 were measured in the fully-automated LUMIPULSE platform. We used linear regression to compare plasma biomarkers concentrations between A + and A- groups, evaluated Spearman's correlation between plasma and CSF and performed ROC analyses to assess their diagnostic accuracy to detect brain amyloidosis as determined by CSF Aβ1-42/Aβ1-40 ratio. We analyzed the concordance of pTau217 with CSF amyloidosis. RESULTS Plasma pTau217 and pTau181 concentration were higher in A + than A- while the plasma Aβ1-42/Aβ1-40 ratio was lower in A + compared to A-. pTau181 and the Aβ1-42/Aβ1-40 ratio showed moderate correlation between plasma and CSF (Rho = 0.66 and 0.69, respectively). The areas under the ROC curve to discriminate A + from A- participants were 0.94 (95% CI 0.92-0.97) for pTau217, and 0.88 (95% CI 0.84-0.92) for both pTau181 and Aβ1-42/Aβ1-40. Chronic kidney disease (CKD) was related to increased plasma biomarker concentrations, but ratios were less affected. Plasma pTau217 had the highest fold change (× 3.2) and showed high predictive capability in discriminating A + from A-, having 4-7% misclassification rate. The global accuracy of plasma pTau217 using a two-threshold approach was robust in symptomatic groups, exceeding 90%. CONCLUSION The evaluation of blood biomarkers on an automated platform exhibited high diagnostic accuracy for AD pathophysiology, and pTau217 showed excellent diagnostic accuracy to identify participants with AD in a consecutive sample representing the routine clinical practice in a specialized memory unit.
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Affiliation(s)
- Javier Arranz
- Sant Pau Memory Unit, Department of Neurology, IR SANT PAU, Hospital de La Santa Creu I Sant Pau, C/Sant Quintí 89, 08041, Barcelona, Spain
- Department of Neurology, Unidad Alzheimer-Down, IR SANT PAU, Hospital de La Santa Creu I Sant Pau; Barcelona Down Medical Center, Fundació Catalana Síndrome de Down, Barcelona, Spain
- Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Nuole Zhu
- Sant Pau Memory Unit, Department of Neurology, IR SANT PAU, Hospital de La Santa Creu I Sant Pau, C/Sant Quintí 89, 08041, Barcelona, Spain
- Universitat Autònoma de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, CIBERNED, Madrid, Spain
| | - Sara Rubio-Guerra
- Sant Pau Memory Unit, Department of Neurology, IR SANT PAU, Hospital de La Santa Creu I Sant Pau, C/Sant Quintí 89, 08041, Barcelona, Spain
- Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Íñigo Rodríguez-Baz
- Sant Pau Memory Unit, Department of Neurology, IR SANT PAU, Hospital de La Santa Creu I Sant Pau, C/Sant Quintí 89, 08041, Barcelona, Spain
- Department of Neurology, Unidad Alzheimer-Down, IR SANT PAU, Hospital de La Santa Creu I Sant Pau; Barcelona Down Medical Center, Fundació Catalana Síndrome de Down, Barcelona, Spain
| | - Rosa Ferrer
- Servei de Bioquímica I Biologia Molecular, IR SANT PAU, Hospital de La Santa Creu I Sant Pau, Universitat Autònoma de Barcelona, C/Sant Quintí 89, 08041, Barcelona, Spain
| | - María Carmona-Iragui
- Sant Pau Memory Unit, Department of Neurology, IR SANT PAU, Hospital de La Santa Creu I Sant Pau, C/Sant Quintí 89, 08041, Barcelona, Spain
- Department of Neurology, Unidad Alzheimer-Down, IR SANT PAU, Hospital de La Santa Creu I Sant Pau; Barcelona Down Medical Center, Fundació Catalana Síndrome de Down, Barcelona, Spain
- Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, CIBERNED, Madrid, Spain
| | - Isabel Barroeta
- Sant Pau Memory Unit, Department of Neurology, IR SANT PAU, Hospital de La Santa Creu I Sant Pau, C/Sant Quintí 89, 08041, Barcelona, Spain
- Department of Neurology, Unidad Alzheimer-Down, IR SANT PAU, Hospital de La Santa Creu I Sant Pau; Barcelona Down Medical Center, Fundació Catalana Síndrome de Down, Barcelona, Spain
- Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, CIBERNED, Madrid, Spain
| | - Ignacio Illán-Gala
- Sant Pau Memory Unit, Department of Neurology, IR SANT PAU, Hospital de La Santa Creu I Sant Pau, C/Sant Quintí 89, 08041, Barcelona, Spain
- Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, CIBERNED, Madrid, Spain
| | - Miguel Santos-Santos
- Sant Pau Memory Unit, Department of Neurology, IR SANT PAU, Hospital de La Santa Creu I Sant Pau, C/Sant Quintí 89, 08041, Barcelona, Spain
- Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, CIBERNED, Madrid, Spain
| | - Juan Fortea
- Sant Pau Memory Unit, Department of Neurology, IR SANT PAU, Hospital de La Santa Creu I Sant Pau, C/Sant Quintí 89, 08041, Barcelona, Spain
- Department of Neurology, Unidad Alzheimer-Down, IR SANT PAU, Hospital de La Santa Creu I Sant Pau; Barcelona Down Medical Center, Fundació Catalana Síndrome de Down, Barcelona, Spain
- Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, CIBERNED, Madrid, Spain
| | - Alberto Lleó
- Sant Pau Memory Unit, Department of Neurology, IR SANT PAU, Hospital de La Santa Creu I Sant Pau, C/Sant Quintí 89, 08041, Barcelona, Spain
- Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, CIBERNED, Madrid, Spain
| | - Mireia Tondo
- Servei de Bioquímica I Biologia Molecular, IR SANT PAU, Hospital de La Santa Creu I Sant Pau, Universitat Autònoma de Barcelona, C/Sant Quintí 89, 08041, Barcelona, Spain.
- Centro de Investigación Biomédica en Red en Diabetes y Enfermedades Metabólicas, CIBERDEM, Madrid, Spain.
| | - Daniel Alcolea
- Sant Pau Memory Unit, Department of Neurology, IR SANT PAU, Hospital de La Santa Creu I Sant Pau, C/Sant Quintí 89, 08041, Barcelona, Spain.
- Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, CIBERNED, Madrid, Spain.
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11
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Yamakuni R, Murakami T, Ukon N, Kakamu T, Toda W, Hattori K, Sekino H, Ishii S, Fukushima K, Matsuda H, Ugawa Y, Wakasugi N, Abe M, Ito H. Differential centiloid scale normalization techniques: comparison between hybrid PET/MRI and independently acquired MRI. Ann Nucl Med 2024:10.1007/s12149-024-01955-z. [PMID: 38902587 DOI: 10.1007/s12149-024-01955-z] [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: 02/15/2024] [Accepted: 06/11/2024] [Indexed: 06/22/2024]
Abstract
OBJECTIVE Centiloid (CL) scales play an important role in semiquantitative analyses of amyloid-β (Aβ) PET. CLs are derived from the standardized uptake value ratio (SUVR), which needs Aβ positron emission tomography (PET) normalization processing. There are two methods to collect the T1-weighted imaging (T1WI) for normalization: (i) anatomical standardization using simultaneously acquired T1WI (PET/MRI), usually adapted to PET images from PET/MRI scanners, and (ii) T1WI from a separate examination (PET + MRI), usually adapted to PET images from PET/CT scanners. This study aimed to elucidate the correlations and differences in CLs between when using the above two T1WI collection methods. METHODS Among patients who underwent Aβ PET/MRI (using 11C-Pittuberg compound B (11C-PiB) or 18F-flutemetamol (18F-FMM)) at our institution from 2015 to 2023, we selected 49 patients who also underwent other additional MRI examinations, including T1WI for anatomic standardization within 3 years. Thirty-one of them underwent 11C-PiB PET/MRI, and 18 participants underwent 18F-FMM PET/MRI. Twenty-five of them, additional MRI acquisition parameters were identical to simultaneous MRI during PET, and 24 participants were different. After normalization using PET/MRI or PET + MRI method each, SUVR was measured using the Global Alzheimer's Association Initiative Network cerebral cortical and striatum Volume of Interest templates (VOI) and whole cerebellum VOI. Subsequently, CLs were calculated using the previously established equations for each Aβ PET tracer. RESULTS Between PET/MRI and PET + MRI methods, CLs correlated linearly in 11C-PiB PET (y = 1.00x - 0.11, R2 = 0.999), 18F-FMM PET (y = 0.97x - 0.12, 0.997), identical additional MRI acquisition (y = 1.00x + 0.33, 0.999), different acquisition (y = 0.98x - 0.43, 0.997), and entire study group (y = 1.00x - 0.24, 0.999). Wilcoxon signed-rank test revealed no significant differences: 11C-PiB (p = 0.49), 18F-FMM (0.08), and whole PET (0.46). However, significant differences were identified in identical acquisition (p = 0.04) and different acquisition (p = 0.02). Bland-Altman analysis documented only a small bias between PET/MRI and PET + MRI in 11C-PiB PET, 18F-FMM PET, identical additional MRI acquisition, different acquisition, and whole PET (- 0.05, 0.67, - 0.30, 0.78, and 0.21, respectively). CONCLUSIONS Anatomical standardizations using PET/MRI and using PET + MRI can lead to almost equivalent CL. The CL values obtained using PET/MRI or PET + MRI normalization methods are consistent and comparable in clinical studies.
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Affiliation(s)
- Ryo Yamakuni
- Department of Radiology and Nuclear Medicine, School of Medicine, Fukushima Medical University, 1 Hikariga-oka, Fukushima, 960-1295, Japan.
| | - Takenobu Murakami
- Division of Neurology, Department of Brain and Neurosciences, Faculty of Medicine, Tottori University, Tottori, Japan
| | - Naoyuki Ukon
- Advanced Clinical Research Center, Fukushima Medical University, Fukushima, Japan
| | - Takeyasu Kakamu
- Department of Hygiene and Preventive Medicine, School of Medicine, Fukushima Medical University, Fukushima, Japan
| | - Wataru Toda
- Department of Neuropsychiatry, School of Medicine, Fukushima Medical University, Fukushima, Japan
| | - Kasumi Hattori
- Department of Neurology, School of Medicine, Fukushima Medical University, Fukushima, Japan
| | - Hirofumi Sekino
- Department of Radiology and Nuclear Medicine, School of Medicine, Fukushima Medical University, 1 Hikariga-oka, Fukushima, 960-1295, Japan
| | - Shiro Ishii
- Department of Radiology and Nuclear Medicine, School of Medicine, Fukushima Medical University, 1 Hikariga-oka, Fukushima, 960-1295, Japan
| | - Kenji Fukushima
- Department of Radiology and Nuclear Medicine, School of Medicine, Fukushima Medical University, 1 Hikariga-oka, Fukushima, 960-1295, Japan
| | - Hiroshi Matsuda
- Department of Bio-Functional Imaging, School of Medicine, Fukushima Medical University, Fukushima, Japan
| | - Yoshikazu Ugawa
- Department of Human Neurophysiology, School of Medicine, Fukushima Medical University, Fukushima, Japan
| | - Noritaka Wakasugi
- Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Mitsunari Abe
- Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Hiroshi Ito
- Department of Radiology and Nuclear Medicine, School of Medicine, Fukushima Medical University, 1 Hikariga-oka, Fukushima, 960-1295, Japan
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12
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Ishiki K, Yamashita K, Watanabe S, Miura M, Kawahira J, Arimatsu Y, Kawasaki K, Iwanaga S, Sato T. The appropriate sample-handling procedure for measuring the plasma β-amyloid level using a fully automated immunoassay. Sci Rep 2024; 14:14266. [PMID: 38902510 PMCID: PMC11190145 DOI: 10.1038/s41598-024-65264-1] [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: 02/22/2024] [Accepted: 06/18/2024] [Indexed: 06/22/2024] Open
Abstract
Plasma β-amyloid (Aβ) assays are a promising tool for Alzheimer's disease diagnosis in clinical practice. To obtain reliable results, establishing an appropriate sample-handling procedure for each analytical platform is warranted. This study proposes an appropriate sample-handling procedure using HISCL analyzer by elucidating the individual/combined effects of pre-analytical parameters on plasma Aβ42/Aβ40 levels. We investigated the effects of various pre-analytical parameters, including storage times for whole blood, plasma, and freezing conditions, on plasma Aβ42/Aβ40 levels, and confirmed if these values met the acceptable criteria. Plasma Aβ42/Aβ40 levels were acceptable in all conditions. We determined our protocol by confirming that plasma Aβ42/Aβ40 levels remained acceptable when combining pre-analytical parameters. We established an appropriate sample-handling protocol that ensures reliable measurement of plasma Aβ42/Aβ40 levels using HISCL analyzer. We believe the Aβ assay, with our protocol, shows promise for aiding AD diagnosis in clinical settings.
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Affiliation(s)
- Kengo Ishiki
- Central Research Laboratories, Sysmex Corporation, 4-4-4 Takatsukadai, Nishi-Ku, Kobe, 651-2271, Japan
| | - Kazuto Yamashita
- Central Research Laboratories, Sysmex Corporation, 4-4-4 Takatsukadai, Nishi-Ku, Kobe, 651-2271, Japan
| | - Shunsuke Watanabe
- Central Research Laboratories, Sysmex Corporation, 4-4-4 Takatsukadai, Nishi-Ku, Kobe, 651-2271, Japan
| | - Masahiro Miura
- Central Research Laboratories, Sysmex Corporation, 4-4-4 Takatsukadai, Nishi-Ku, Kobe, 651-2271, Japan.
| | - Junko Kawahira
- Reagent Engineering, Sysmex Corporation, 4-4-4 Takatsukadai, Nishi-Ku, Kobe, 651-2271, Japan
| | - Yuji Arimatsu
- Reagent Engineering, Sysmex Corporation, 4-4-4 Takatsukadai, Nishi-Ku, Kobe, 651-2271, Japan
| | - Kana Kawasaki
- Central Research Laboratories, Sysmex Corporation, 4-4-4 Takatsukadai, Nishi-Ku, Kobe, 651-2271, Japan
| | - Shigeki Iwanaga
- Central Research Laboratories, Sysmex Corporation, 4-4-4 Takatsukadai, Nishi-Ku, Kobe, 651-2271, Japan
| | - Toshiyuki Sato
- Central Research Laboratories, Sysmex Corporation, 4-4-4 Takatsukadai, Nishi-Ku, Kobe, 651-2271, Japan
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13
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Singh NA, Alnobani A, Graff-Radford J, Machulda MM, Mielke MM, Schwarz CG, Senjem ML, Jack CR, Lowe VJ, Kanekiyo T, Josephs KA, Whitwell JL. Relationships between PET and blood plasma biomarkers in corticobasal syndrome. Alzheimers Dement 2024. [PMID: 38885334 DOI: 10.1002/alz.13914] [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: 02/22/2024] [Revised: 04/26/2024] [Accepted: 04/28/2024] [Indexed: 06/20/2024]
Abstract
INTRODUCTION Corticobasal syndrome (CBS) can result from underlying Alzheimer's disease (AD) pathologies. Little is known about the utility of blood plasma metrics to predict positron emission tomography (PET) biomarker-confirmed AD in CBS. METHODS A cohort of eighteen CBS patients (8 amyloid beta [Aβ]+; 10 Aβ-) and 8 cognitively unimpaired (CU) individuals underwent PET imaging and plasma analysis. Plasma concentrations were compared using a Kruskal-Wallis test. Spearman correlations assessed relationships between plasma concentrations and PET uptake. RESULTS CBS Aβ+ group showed a reduced Aβ42/40 ratio, with elevated phosphorylated tau (p-tau)181, glial fibrillary acidic protein (GFAP), and neurofilament light (NfL) concentrations, while CBS Aβ- group only showed elevated NfL concentration compared to CU. Both p-tau181 and GFAP were able to differentiate CBS Aβ- from CBS Aβ+ and showed positive associations with Aβ and tau PET uptake. DISCUSSION This study supports use of plasma p-tau181 and GFAP to detect AD in CBS. NfL shows potential as a non-specific disease biomarker of CBS regardless of underlying pathology. HIGHLIGHTS Plasma phosphorylated tau (p-tau)181 and glial fibrillary acidic protein (GFAP) concentrations differentiate corticobasal syndrome (CBS) amyloid beta (Aβ)- from CBS Aβ+. Plasma neurofilament light concentrations are elevated in CBS Aβ- and Aβ+ compared to controls. Plasma p-tau181 and GFAP concentrations were associated with Aβ and tau positron emission tomography (PET) uptake. Aβ42/40 ratio showed a negative correlation with Aβ PET uptake.
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Affiliation(s)
| | - Alla Alnobani
- Department of Neuroscience, Mayo Clinic, Jacksonville, Florida, USA
| | | | - Mary M Machulda
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, Minnesota, USA
| | - Michelle M Mielke
- Department of Epidemiology and Prevention, Wake Forest University, Winston-Salem, North Carolina, USA
| | | | | | - Clifford R Jack
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA
| | - Val J Lowe
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA
| | | | - Keith A Josephs
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
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14
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Abramowitz A, Weber M. Management of MCI in the Outpatient Setting. Curr Psychiatry Rep 2024:10.1007/s11920-024-01514-3. [PMID: 38856858 DOI: 10.1007/s11920-024-01514-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/27/2024] [Indexed: 06/11/2024]
Abstract
PURPOSE OF REVIEW We review current literature related to the clinical assessment of Mild Cognitive Impairment (MCI). We compile recommendations related to the evaluation of MCI and examine literature regarding the use of clinical biomarkers in this assessment, the role of non-pharmacologic therapy in the prevention of cognitive decline, and recent approval of anti-amyloid therapy in the treatment of MCI. RECENT FINDINGS The role of imaging and plasma biomarkers in the clinical assessment of MCI has expanded. There is data that non-pharmacologic therapy may have a role in the prevention of neurocognitive decline. Anti-amyloid therapies have recently been approved for clinical use. Clinical assessment of MCI remains multifactorial and includes screening and treating for underlying psychiatric and medical co-morbidities. The use of biomarkers in clinical settings is expanding with the rise of anti-amyloid therapies. These new diagnostics and therapeutics require nuanced discussion of risks and benefits. Psychiatrist's skillset is uniquely suited for these complex evaluations.
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Affiliation(s)
- Amy Abramowitz
- UNC School of Medicine and UNC Hospitals, Chapel Hill, NC, USA.
| | - Michael Weber
- UNC School of Medicine and UNC Hospitals, Chapel Hill, NC, USA
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15
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Yang Y, Qiu L. Research Progress on the Pathogenesis, Diagnosis, and Drug Therapy of Alzheimer's Disease. Brain Sci 2024; 14:590. [PMID: 38928590 PMCID: PMC11201671 DOI: 10.3390/brainsci14060590] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2024] [Revised: 06/03/2024] [Accepted: 06/06/2024] [Indexed: 06/28/2024] Open
Abstract
As the population ages worldwide, Alzheimer's disease (AD), the most prevalent kind of neurodegenerative disorder among older people, has become a significant factor affecting quality of life, public health, and economies. However, the exact pathogenesis of Alzheimer's remains elusive, and existing highly recognized pathogenesis includes the amyloid cascade hypothesis, Tau neurofibrillary tangles hypothesis, and neuroinflammation hypothesis. The major diagnoses of Alzheimer's disease include neuroimaging positron emission computed tomography, magnetic resonance imaging, and cerebrospinal fluid molecular diagnosis. The therapy of Alzheimer's disease primarily relies on drugs, and the approved drugs on the market include acetylcholinesterase drugs, glutamate receptor antagonists, and amyloid-β monoclonal antibodies. Still, the existing drugs can only alleviate the symptoms of the disease and cannot completely reverse it. This review aims to summarize existing research results on Alzheimer's disease pathogenesis, diagnosis, and drug therapy, with the objective of facilitating future research in this area.
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Affiliation(s)
- Yixuan Yang
- College of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing 100083, China;
| | - Lina Qiu
- College of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing 100083, China;
- Beijing Key Laboratory for Science and Application of Functional Molecular and Crystalline Materials, University of Science and Technology Beijing, Beijing 100083, China
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16
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Wirths O, Lehnen C, Fricke M, Talucci I, Klafki HW, Morgado B, Lehmann S, Münch C, Liepold T, Wiltfang J, Rostagno A, Ghiso J, Maric HM, Jahn O, Weggen S. Amino-terminally elongated Aβ peptides are generated by the secreted metalloprotease ADAMTS4 and deposit in a subset of Alzheimer's disease brains. Neuropathol Appl Neurobiol 2024; 50:e12991. [PMID: 38867123 DOI: 10.1111/nan.12991] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Revised: 05/06/2024] [Accepted: 05/09/2024] [Indexed: 06/14/2024]
Abstract
AIMS The aggregation and deposition of amyloid-β (Aβ) peptides in the brain is thought to be the initial driver in the pathogenesis of Alzheimer's disease (AD). Aside from full-length Aβ peptides starting with an aspartate residue in position 1, both N-terminally truncated and elongated Aβ peptides are produced by various proteases from the amyloid precursor protein (APP) and have been detected in brain tissues and body fluids. Recently, we demonstrated that the particularly abundant N-terminally truncated Aβ4-x peptides are generated by ADAMTS4, a secreted metalloprotease that is exclusively expressed in the oligodendrocyte cell population. In this study, we investigated whether ADAMTS4 might also be involved in the generation of N-terminally elongated Aβ peptides. METHODS We used cell-free and cell-based assays in combination with matrix-assisted laser desorption/ionisation time-of-flight mass spectrometry (MALDI-TOF) and electrochemiluminescence sandwich immunoassays to identify and quantify N-terminally elongated Aβ peptide variants. Antibodies against these Aβ variants were characterised by peptide microarrays and employed for the immunohistochemical analyses of human brain samples. RESULTS In this study, we discovered additional ADAMTS4 cleavage sites in APP. These were located N-terminal to Asp-(1) in the Aβ peptide sequence between residues Glu-(-7) and Ile-(-6) as well as Glu-(-4) and Val-(-3), resulting in the release of N-terminally elongated Aβ-6-x and Aβ-3-x peptides, of which the latter serve as a component in a promising Aβ-based plasma biomarker. Aβ-6/-3-40 peptides were detected in supernatants of various cell lines and in the cerebrospinal fluid (CSF), and ADAMTS4 enzyme activity promoted the release of Aβ-6/-3-x peptides. Furthermore, by immunohistochemistry, a subset of AD cases displayed evidence of extracellular and vascular localization of N-terminally elongated Aβ-6/-3-x peptides. DISCUSSION The current findings implicate ADAMTS4 in both the pathological process of Aβ peptide aggregation and in the early detection of amyloid pathology in AD.
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Affiliation(s)
- Oliver Wirths
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen (UMG), Georg-August University, Goettingen, Germany
| | - Christina Lehnen
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen (UMG), Georg-August University, Goettingen, Germany
| | - Merle Fricke
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen (UMG), Georg-August University, Goettingen, Germany
| | - Ivan Talucci
- Rudolf Virchow Center for Integrative and Translational Bioimaging, University of Wuerzburg, Wuerzburg, Germany
- Department of Neurology, University Hospital Wuerzburg, Wuerzburg, Germany
| | - Hans-Wolfgang Klafki
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen (UMG), Georg-August University, Goettingen, Germany
| | - Barbara Morgado
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen (UMG), Georg-August University, Goettingen, Germany
| | - Sandra Lehmann
- Department of Neuropathology, Heinrich-Heine University, Duesseldorf, Germany
| | - Carolina Münch
- Department of Neuropathology, Heinrich-Heine University, Duesseldorf, Germany
| | - Thomas Liepold
- Department of Neurology, University Hospital Wuerzburg, Wuerzburg, Germany
| | - Jens Wiltfang
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen (UMG), Georg-August University, Goettingen, Germany
- German Center for Neurodegenerative Diseases (DZNE), Goettingen, Germany
- Neurosciences and Signaling Group, Institute of Biomedicine (iBiMED), Department of Medical Sciences, University of Aveiro, Aveiro, Portugal
| | - Agueda Rostagno
- Department of Pathology, New York University Grossman School of Medicine, New York, New York, USA
| | - Jorge Ghiso
- Department of Pathology, New York University Grossman School of Medicine, New York, New York, USA
| | - Hans Michael Maric
- Rudolf Virchow Center for Integrative and Translational Bioimaging, University of Wuerzburg, Wuerzburg, Germany
| | - Olaf Jahn
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen (UMG), Georg-August University, Goettingen, Germany
- Neuroproteomics Group, Department of Molecular Neurobiology, Max Planck Institute for Multidisciplinary Science (City Campus), Goettingen, Germany
| | - Sascha Weggen
- Department of Neuropathology, Heinrich-Heine University, Duesseldorf, Germany
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17
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Zhang Y, Ferreira PCL, Jacobsen E, Bellaver B, Pascoal TA, Snitz BE, Chang CH, Villemagne VL, Ganguli M, Karikari TK. Association of plasma biomarkers of Alzheimer's disease and related disorders with cognition and cognitive decline: The MYHAT population-based study. Alzheimers Dement 2024; 20:4199-4211. [PMID: 38753951 PMCID: PMC11180930 DOI: 10.1002/alz.13829] [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: 10/19/2023] [Revised: 03/15/2024] [Accepted: 03/15/2024] [Indexed: 05/18/2024]
Abstract
INTRODUCTION Plasma biomarkers of Alzheimer's disease and related dementias predict global cognitive performance and decline over time; it remains unclear how they associate with changes in different dementia syndromes affecting distinct cognitive domains. METHODS In a prospective study with repeated assessments of a randomly selected population-based cohort (n = 787, median age 73), we evaluated performance and decline in different cognitive domains over up to 8 years in relation to plasma concentrations of amyloid beta 42/40 (Aβ42/40) ratio, phosphorylated tau181 (p-tau181), neurofilament light chain (NfL), and glial fibrillary acidic protein (GFAP). RESULTS Cross-sectionally, memory showed the strongest associations with p-tau181, and attention, executive, and visuospatial functions with NfL. Longitudinally, memory decline was distinguishable with all biomarker profiles dichotomized according to data-driven cutoffs, most efficiently with Aβ42/40. GFAP and Aβ42/40 were the best discriminators of decline patterns in language and visuospatial functions, respectively. DISCUSSION These relatively non-invasive tests may be beneficial for clinical screening after replication in other populations and validation through neuroimaging or cerebrospinal fluid analysis. HIGHLIGHTS We performed a prospective study with up to 8 years of repeated domain-specific cognitive assessments and baseline plasma Alzheimer's disease and related dementias biomarker measurements in a randomly selected population-based cohort. We considered distinct growth curves of trajectories of different cognitive domains and survival bias induced by missing data by adding quadratic time and applying joint modeling technique. Cross-sectionally, memory showed the strongest associations with plasma phosphorylated tau181, while attention, executive, and visuospatial functions were most strongly associated with neurofilament light chain. Longitudinally, memory and visuospatial declines were most efficiently distinguished by dichotomized amyloid beta 42/40 profile among all plasma biomarkers, while language was by dichotomized glial fibrillary acidic protein. These relatively non-invasive tests may be beneficial for clinical screening; however, they will need replication in other populations and validation through neuroimaging and/or cerebrospinal fluid assessments.
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Affiliation(s)
- Yingjin Zhang
- Department of Biostatistics School of Public HealthUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Pamela C. L. Ferreira
- Department of PsychiatrySchool of MedicineUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Erin Jacobsen
- Department of PsychiatrySchool of MedicineUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Bruna Bellaver
- Department of PsychiatrySchool of MedicineUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Tharick A. Pascoal
- Department of PsychiatrySchool of MedicineUniversity of PittsburghPittsburghPennsylvaniaUSA
- Department of NeurologySchool of MedicineUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Beth E. Snitz
- Department of NeurologySchool of MedicineUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Chung‐Chou H. Chang
- Department of Biostatistics School of Public HealthUniversity of PittsburghPittsburghPennsylvaniaUSA
- Department of MedicineSchool of MedicineUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Victor L. Villemagne
- Department of PsychiatrySchool of MedicineUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Mary Ganguli
- Department of PsychiatrySchool of MedicineUniversity of PittsburghPittsburghPennsylvaniaUSA
- Department of NeurologySchool of MedicineUniversity of PittsburghPittsburghPennsylvaniaUSA
- Department of Epidemiology School of Public HealthUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Thomas K. Karikari
- Department of PsychiatrySchool of MedicineUniversity of PittsburghPittsburghPennsylvaniaUSA
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18
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Weber DM, Kim JC, Goldman SM, Clarke NJ, Racke MK. New plasma LC-MS/MS assays for the quantitation of beta-amyloid peptides and identification of apolipoprotein E proteoforms for Alzheimer's disease risk assessment. J Investig Med 2024; 72:465-474. [PMID: 38548482 DOI: 10.1177/10815589241246537] [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: 05/01/2024]
Abstract
Early detection of Alzheimer's disease (AD) represents an unmet clinical need. Beta-amyloid (Aβ) plays an important role in AD pathology, and the Aβ42/40 peptide ratio is a good indicator for amyloid deposition. In addition, variants of the apolipoprotein E (APOE) gene are associated with variable AD risk. Here, we describe the development and validation of high-throughput liquid chromatography-tandem mass spectrometry (LC-MS/MS) assays for plasma Aβ40 and Aβ42 quantitation, as well as apolipoprotein E (ApoE) proteotype determination as a surrogate for APOE genotype. Aβ40 and Aβ42 were simultaneously immunoprecipitated from plasma, proteolytically digested, and quantitated by LC-MS/MS. ApoE proteotype status was qualitatively assessed by targeting tryptic peptides from the ApoE2, ApoE3, and ApoE4 proteoforms. Both assays were validated according to the Clinical and Laboratory Standards Institute (CLSI) guidelines. Within-run precision was 1.8%-4.2% (Aβ40), 1.9%-7.2% (Aβ42), and 2.6%-8.3% (Aβ42/40 ratio). Between-run precision was 3.5%-5.9% (Aβ40), 3.8%-8.0% (Aβ42), and 3.3%-8.7% (Aβ42/40 ratio). Both Aβ40 and Aβ42 were linear from 10 to 2500 pg/mL. Identified ApoE proteotypes had 100% concordance with APOE genotypes. We have developed a precise, accurate, and sensitive high-throughput LC-MS/MS assay for plasma Aβ40, Aβ42, and proteoforms of ApoE.
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Affiliation(s)
- Darren M Weber
- Quest Diagnostics Nichols Institute, San Juan Capistrano, CA, USA
| | - Jueun C Kim
- Quest Diagnostics Nichols Institute, San Juan Capistrano, CA, USA
| | - Scott M Goldman
- Quest Diagnostics Nichols Institute, San Juan Capistrano, CA, USA
| | - Nigel J Clarke
- Quest Diagnostics Nichols Institute, San Juan Capistrano, CA, USA
| | - Michael K Racke
- Quest Diagnostics Nichols Institute, San Juan Capistrano, CA, USA
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19
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Sakurai T, Sugimoto T, Akatsu H, Doi T, Fujiwara Y, Hirakawa A, Kinoshita F, Kuzuya M, Lee S, Matsumoto N, Matsuo K, Michikawa M, Nakamura A, Ogawa S, Otsuka R, Sato K, Shimada H, Suzuki H, Suzuki H, Takechi H, Takeda S, Uchida K, Umegaki H, Wakayama S, Arai H. Japan-Multimodal Intervention Trial for the Prevention of Dementia: A randomized controlled trial. Alzheimers Dement 2024; 20:3918-3930. [PMID: 38646854 PMCID: PMC11180858 DOI: 10.1002/alz.13838] [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: 12/07/2023] [Revised: 03/01/2024] [Accepted: 03/16/2024] [Indexed: 04/23/2024]
Abstract
INTRODUCTION We examined the efficacy of a multidomain intervention in preventing cognitive decline among Japanese older adults with mild cognitive impairment (MCI). METHODS Participants aged 65-85 years with MCI were randomized into intervention (management of vascular risk factors, exercise, nutritional counseling, and cognitive training) and control groups. The primary outcome was changes in the cognitive composite score over a period of 18 months. RESULTS Of 531 participants, 406 completed the trial. The between-group difference in composite score changes was 0.047 (95% CI: -0.029 to 0.124). Secondary analyses indicated positive impacts of interventions on several secondary health outcomes. The interventions appeared to be particularly effective for individuals with high attendance during exercise sessions and those with the apolipoprotein E ε4 allele and elevated plasma glial fibrillary acidic protein levels. DISCUSSION The multidomain intervention showed no efficacy in preventing cognitive decline. Further research on more efficient strategies and suitable target populations is required. HIGHLIGHTS This trial evaluated the efficacy of multidomain intervention in individuals with MCI. The trial did not show a significant difference in preplanned cognitive outcomes. Interventions had positive effects on a wide range of secondary health outcomes. Those with adequate adherence or high risk of dementia benefited from interventions.
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Affiliation(s)
- Takashi Sakurai
- Research InstituteNational Center for Geriatrics and GerontologyObuAichiJapan
- Department of Prevention and Care ScienceResearch InstituteNational Center for Geriatrics and GerontologyObuAichiJapan
- Department of Cognition and Behavior ScienceNagoya University Graduate School of MedicineNagoyaAichiJapan
| | - Taiki Sugimoto
- Department of Prevention and Care ScienceResearch InstituteNational Center for Geriatrics and GerontologyObuAichiJapan
- Department of MedicineUniversity of WashingtonSeattleWashingtonUSA
| | - Hiroyasu Akatsu
- Department of General Medicine and General Internal MedicineNagoya City University Graduate School of MedicineNagoyaAichiJapan
| | - Takehiko Doi
- Department of Preventive GerontologyResearch InstituteNational Center for Geriatrics and GerontologyObuAichiJapan
| | - Yoshinori Fujiwara
- Tokyo Metropolitan Institute for Geriatrics and GerontologyItabashi‐kuTokyoJapan
| | - Akihiro Hirakawa
- Department of Clinical BiostatisticsGraduate School of Medical and Dental SciencesTokyo Medical and Dental UniversityBunkyo‐kuTokyoJapan
| | - Fumie Kinoshita
- Department of Advanced MedicineNagoya University HospitalNagoyaAichiJapan
| | | | - Sangyoon Lee
- Department of Preventive GerontologyResearch InstituteNational Center for Geriatrics and GerontologyObuAichiJapan
- Department of ResearchObu Center for Dementia Care Research and PracticeObuAichiJapan
| | - Nanae Matsumoto
- Department of Prevention and Care ScienceResearch InstituteNational Center for Geriatrics and GerontologyObuAichiJapan
| | - Koichiro Matsuo
- Department of Oral Health Sciences for Community WelfareGraduate School of Medical and Dental SciencesTokyo Medical and Dental UniversityBunkyo‐kuTokyoJapan
| | - Makoto Michikawa
- Department of Geriatric MedicineSchool of Life Dentistry at NiigataThe Nippon Dental UniversityNiigataJapan
| | - Akinori Nakamura
- Department of Biomarker ResearchResearch InstituteNational Center for Geriatrics and GerontologyObuAichiJapan
| | - Susumu Ogawa
- Research Team for Social Participation and Healthy AgingTokyo Metropolitan Institute for Geriatrics and GerontologyItabashi‐kuTokyoJapan
| | - Rei Otsuka
- Department of Epidemiology of AgingResearch InstituteNational Center for Geriatrics and GerontologyObuAichiJapan
| | - Kenji Sato
- Department of Rehabilitation MedicineHospital, National Center for Geriatrics and GerontologyObuAichiJapan
| | - Hiroyuki Shimada
- Center for Gerontology and Social ScienceResearch InstituteNational Center for Geriatrics and GerontologyObuAichiJapan
| | - Hiroko Suzuki
- Well Aging DivisionSompo Care Inc.Shinagawa‐kuTokyoJapan
| | - Hiroyuki Suzuki
- Research Team for Social Participation and Healthy AgingTokyo Metropolitan Institute for Geriatrics and GerontologyItabashi‐kuTokyoJapan
| | - Hajime Takechi
- Department of Geriatrics and Cognitive DisordersSchool of MedicineFujita Health UniversityToyoakeAichiJapan
| | - Shinya Takeda
- Department of Clinical PsychologyTottori University Graduate School of Medical SciencesYonagoTottoriJapan
| | - Kazuaki Uchida
- Department of Prevention and Care ScienceResearch InstituteNational Center for Geriatrics and GerontologyObuAichiJapan
| | - Hiroyuki Umegaki
- Department of Community Healthcare and GeriatricsNagoya University Graduate School of MedicineNagoyaAichiJapan
| | - Satomu Wakayama
- Department of Rehabilitation MedicineHospital, National Center for Geriatrics and GerontologyObuAichiJapan
- Innovation for Aging & Wellness DepartmentSompo Holdings, Inc.Shinagawa‐KuTokyoJapan
| | - Hidenori Arai
- National Center for Geriatrics and GerontologyObuAichiJapan
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20
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Vos SJB, Delvenne A, Jack CR, Thal DR, Visser PJ. The clinical importance of suspected non-Alzheimer disease pathophysiology. Nat Rev Neurol 2024; 20:337-346. [PMID: 38724589 DOI: 10.1038/s41582-024-00962-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/04/2024] [Indexed: 06/06/2024]
Abstract
The development of biomarkers for Alzheimer disease (AD) has led to the origin of suspected non-AD pathophysiology (SNAP) - a heterogeneous biomarker-based concept that describes individuals with normal amyloid and abnormal tau and/or neurodegeneration biomarker status. In this Review, we describe the origins of the SNAP construct, along with its prevalence, diagnostic and prognostic implications, and underlying neuropathology. As we discuss, SNAP can be operationalized using different biomarker modalities, which could affect prevalence estimates and reported characteristics of SNAP in ways that are not yet fully understood. Moreover, the underlying aetiologies that lead to a SNAP biomarker profile, and whether SNAP is the same in people with and without cognitive impairment, remains unclear. Improved insight into the clinical characteristics and pathophysiology of SNAP is of major importance for research and clinical practice, as well as for trial design to optimize care and treatment of individuals with SNAP.
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Affiliation(s)
- Stephanie J B Vos
- Department of Psychiatry and Neuropsychology, Alzheimer Centrum Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands.
| | - Aurore Delvenne
- Department of Psychiatry and Neuropsychology, Alzheimer Centrum Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands
| | - Clifford R Jack
- Department of Radiology, Mayo Clinic and Foundation, Rochester, MN, USA
| | - Dietmar R Thal
- Laboratory for Neuropathology, Department of Imaging and Pathology and Leuven Brain Institute, KU Leuven, Leuven, Belgium
- Department of Pathology, University Hospital Leuven, Leuven, Belgium
| | - Pieter Jelle Visser
- Department of Psychiatry and Neuropsychology, Alzheimer Centrum Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands
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21
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Antonioni A, Raho EM, Di Lorenzo F. Is blood pTau a reliable indicator of the CSF status? A narrative review. Neurol Sci 2024; 45:2471-2487. [PMID: 38129590 DOI: 10.1007/s10072-023-07258-x] [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: 10/03/2023] [Accepted: 12/03/2023] [Indexed: 12/23/2023]
Abstract
BACKGROUND The identification of biomarkers for the early diagnosis of Alzheimer's disease (AD) is a crucial goal of the current research. Blood biomarkers are less invasive, easier to obtain and achievable by a cheaper means than those on cerebrospinal fluid (CSF) and significantly more economic than functional neuroimaging investigations; thus, a great interest is focused on blood isoforms of the phosphorylated Tau protein (pTau), indicators of ongoing tau pathology (i.e. neurofibrillary tangles, NFTs, an AD neuropathological hallmark) in the central nervous system (CNS). However, current data often highlight discordant results about the ability of blood pTau to predict CSF status. OBJECTIVE We aim to synthesise the studies that compared pTau levels on CSF and blood to assess their correlation in AD continuum. METHODS We performed a narrative literature review using, first, MEDLINE (via PubMed) by means of MeSH terms, and then, we expanded the reults by means of Scopus and Web of Sciences to be as inclusive as possible. Finally, we added work following an expert opinion. Only papers presenting original data on pTau values on both blood and CSF were included. RESULTS The 33 included studies show an extreme heterogeneity in terms of pTau isoform (pTau181, 217 and 231), laboratory methods, diagnostic criteria and choice of comparison groups. Most studies evaluated plasma pTau181, while data on other isoforms and serum are scarcer. DISCUSSION Most papers identify a correlation between CSF and blood measurements. Furthermore, even when not specified, it is often possible to show an increase in blood pTau values as AD-related damage progresses in the AD continuum and higher values in AD than in other neurodegenerative diseases. Notably, plasma pTau231 seems the first biomarker to look for in the earliest and pre-clinical stages, quickly followed by pTau217 and, finally, by pTau181. CONCLUSIONS Our results encourage the use of blood pTau for the early identification of patients with AD continuum.
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Affiliation(s)
- Annibale Antonioni
- Unit of Clinical Neurology, Neurosciences and Rehabilitation Department, University of Ferrara, 44121, Ferrara, Italy
- Doctoral Program in Translational Neurosciences and Neurotechnologies, University of Ferrara, 44121, Ferrara, Italy
| | - Emanuela Maria Raho
- Unit of Clinical Neurology, Neurosciences and Rehabilitation Department, University of Ferrara, 44121, Ferrara, Italy
| | - Francesco Di Lorenzo
- Non Invasive Brain Stimulation Unit, Istituto Di Ricovero E Cura a Carattere Scientifico Santa Lucia, 00179, Rome, Italy.
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22
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Su H, Masters CL, Bush AI, Barnham KJ, Reid GE, Vella LJ. Exploring the significance of lipids in Alzheimer's disease and the potential of extracellular vesicles. Proteomics 2024; 24:e2300063. [PMID: 37654087 DOI: 10.1002/pmic.202300063] [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: 05/12/2023] [Revised: 08/07/2023] [Accepted: 08/14/2023] [Indexed: 09/02/2023]
Abstract
Lipids play a significant role in maintaining central nervous system (CNS) structure and function, and the dysregulation of lipid metabolism is known to occur in many neurological disorders, including Alzheimer's disease. Here we review what is currently known about lipid dyshomeostasis in Alzheimer's disease. We propose that small extracellular vesicle (sEV) lipids may provide insight into the pathophysiology and progression of Alzheimer's disease. This stems from the recognition that sEV likely contributes to disease pathogenesis, but also an understanding that sEV can serve as a source of potential biomarkers. While the protein and RNA content of sEV in the CNS diseases have been studied extensively, our understanding of the lipidome of sEV in the CNS is still in its infancy.
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Affiliation(s)
- Huaqi Su
- The Florey, The University of Melbourne, Parkville, Victoria, Australia
- School of Chemistry, Bio21 Molecular Science and Biotechnology Institute, The University of Melbourne, Parkville, Victoria, Australia
| | - Colin L Masters
- The Florey, The University of Melbourne, Parkville, Victoria, Australia
| | - Ashley I Bush
- The Florey, The University of Melbourne, Parkville, Victoria, Australia
| | - Kevin J Barnham
- The Florey, The University of Melbourne, Parkville, Victoria, Australia
| | - Gavin E Reid
- School of Chemistry, Bio21 Molecular Science and Biotechnology Institute, The University of Melbourne, Parkville, Victoria, Australia
- Department of Biochemistry and Pharmacology, The University of Melbourne, Parkville, Victoria, Australia
| | - Laura J Vella
- The Florey, The University of Melbourne, Parkville, Victoria, Australia
- Department of Surgery, The Royal Melbourne Hospital, The University of Melbourne, Parkville, Victoria, Australia
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23
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Hansen N, Wiltfang J. Fluid biomarkers unveil signatures of pathological aging. Seizure 2024:S1059-1311(24)00158-4. [PMID: 38871529 DOI: 10.1016/j.seizure.2024.05.019] [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: 03/26/2024] [Revised: 05/29/2024] [Accepted: 05/30/2024] [Indexed: 06/15/2024] Open
Abstract
Aging is a multifaceted and highly varied process in the brain. Identifying aging biomarkers is one means of distinguishing pathological from physiological aging. The aim of this narrative review is to focus on two new developments in the field of fluid biomarkers and draw attention to this excellent tool for the early detection of potential brain pathologies that delay, alter, or enable physiological aging to become pathological. Pathological aging can lower the threshold for the development of specific diseases such as late-onset epilepsy. Fluid biomarkers can reveal pathological levels at an early stage and thus indicate disease processes in the brain that begin before symptoms develop; they thus differ from physiological aging.
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Affiliation(s)
- Niels Hansen
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Von-Siebold-Str. 5, 37075 Göttingen, Germany.
| | - Jens Wiltfang
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Von-Siebold-Str. 5, 37075 Göttingen, Germany; German Center for Neurodegenerative Diseases (DZNE), Von-Siebold-Str. 3a, 37075, Göttingen, Germany; Neurosciences and Signaling Group, Institute of Biomedicine (iBiMED), Department of Medical Sciences, University of Aveiro, Aveiro, Portugal
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24
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Chen Y, Zeng X, Diaz JL, Sehrawat A, Lafferty TK, Boslett JJ, Klunk WE, Pascoal TA, Villemagne VL, Cohen AD, Lopez OI, Yates NA, Karikari TK. Effect of blood collection tube containing protease inhibitors on the pre-analytical stability of Alzheimer's disease plasma biomarkers. J Neurochem 2024. [PMID: 38814273 DOI: 10.1111/jnc.16130] [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: 02/27/2024] [Revised: 05/03/2024] [Accepted: 05/05/2024] [Indexed: 05/31/2024]
Abstract
The reliability of plasma biomarkers of Alzheimer's disease (AD) can be compromised by protease-induced degradation. This can limit the feasibility of conducting plasma biomarker studies in environments that lack the capacity for immediate processing and appropriate storage of blood samples. We hypothesized that blood collection tube supplementation with protease inhibitors can improve the stability of plasma biomarkers at room temperatures (RT). In this study, we conducted a comparative analysis of blood biomarker stability in traditional ethylenediaminetetraacetic acid (EDTA) tubes versus BD™ P100 collection tubes, the latter being coated with a protease inhibitor cocktail. The stability of six plasma AD biomarkers was evaluated over time under RT conditions. We evaluated three experimental approaches. In Approach 1, pooled plasma samples underwent storage at RT for up to 96 h. In Approach 2, plasma samples isolated upfront from whole blood collected into EDTA or P100 tubes were stored at RT for 0 h or 24 h before biomarker measurements. In Approach 3, whole blood samples were collected into paired EDTA and P100 tubes, followed by storage at RT for 0 h or 24 h before isolating the plasma for analyses. Biomarkers were measured with Single Molecule Array (Simoa) and immunoprecipitation-mass spectrometry (IP-MS) assays. Both the IP-MS and Simoa methods revealed that the use of P100 tubes significantly improves the stability of Aβ42 and Aβ40 across all approaches. However, the Aβ42/Aβ40 ratio levels were significantly stabilized only in the IP-MS assay in Approach 3. No significant differences were observed in the levels of plasma p-tau181, GFAP, and NfL for samples collected using either tube type in any of the approaches. Supplementation of blood collection tubes with protease inhibitors could reduce the protease-induced degradation of plasma Aβ42 and Aβ40, and the Aβ42/40 ratio for the IP-MS assay. These findings have crucial implications for preanalytical procedures, particularly in resource-limited settings.
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Affiliation(s)
- Yijun Chen
- Department of Chemistry, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Xuemei Zeng
- Department of Psychiatry, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Jihui L Diaz
- Department of Psychiatry, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Anuradha Sehrawat
- Department of Psychiatry, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Tara K Lafferty
- Department of Psychiatry, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - James J Boslett
- Department of Cell Biology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - William E Klunk
- Department of Psychiatry, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Tharick A Pascoal
- Department of Psychiatry, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- Department of Neurology, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Victor L Villemagne
- Department of Psychiatry, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Ann D Cohen
- Department of Psychiatry, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Oscar I Lopez
- Department of Neurology, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Nathan A Yates
- Department of Chemistry, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- Department of Cell Biology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Thomas K Karikari
- Department of Psychiatry, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
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25
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Arslan B, Zetterberg H, Ashton NJ. Blood-based biomarkers in Alzheimer's disease - moving towards a new era of diagnostics. Clin Chem Lab Med 2024; 62:1063-1069. [PMID: 38253262 DOI: 10.1515/cclm-2023-1434] [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: 12/13/2023] [Accepted: 01/05/2024] [Indexed: 01/24/2024]
Abstract
Alzheimer's disease (AD), a primary cause of dementia globally, is traditionally diagnosed via cerebrospinal fluid (CSF) measures and positron emission tomography (PET). The invasiveness, cost, and limited accessibility of these methods have led to exploring blood-based biomarkers as a promising alternative for AD diagnosis and monitoring. Recent advancements in sensitive immunoassays have identified potential blood-based biomarkers, such as Aβ42/Aβ40 ratios and phosphorylated tau (p-tau) species. This paper briefly evaluates the clinical utility and reliability of these biomarkers across various AD stages, highlighting challenges like refining plasma Aβ42/Aβ40 assays and enhancing the precision of p-tau, particularly p-tau181, p-tau217, and p-tau231. The discussion also covers other plasma biomarkers like neurofilament light (NfL), glial fibrillary acidic protein (GFAP), and synaptic biomarkers, assessing their significance in AD diagnostics. The need for ongoing research and development of robust assays to match the performance of CSF and PET biomarkers is underscored. In summary, blood-based biomarkers are increasingly crucial in AD diagnosis, follow-up, prognostication, treatment response evaluation, and population screening, particularly in primary care settings. These developments are set to revolutionize AD diagnostics, offering earlier and more accessible detection and management options.
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Affiliation(s)
- Burak Arslan
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Wisconsin Alzheimer's Disease Research Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
- UK Dementia Research Institute at UCL, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong, P.R. China
| | - Nicholas J Ashton
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Department of Old Age Psychiatry, Psychology & Neuroscience, King's College London, Institute of Psychiatry, London, UK
- King's College London, Institute of Psychiatry, Psychology and Neuroscience, Maurice Wohl Institute Clinical Neuroscience Institute, London, UK
- NIHR Biomedical Research Centre for Mental Health & Biomedical Research Unit for Dementia at South London & Maudsley, NHS Foundation, London, UK
- Centre for Age-Related Medicine, Stavanger University Hospital, Stavanger, Norway
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26
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Hou Z, Sun A, Li Y, Song X, Liu S, Hu X, Luan Y, Guan H, He C, Sun Y, Chen J. What Are the Reliable Plasma Biomarkers for Mild Cognitive Impairment? A Clinical 4D Proteomics Study and Validation. Mediators Inflamm 2024; 2024:7709277. [PMID: 38883967 PMCID: PMC11178428 DOI: 10.1155/2024/7709277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Revised: 02/20/2024] [Accepted: 04/30/2024] [Indexed: 06/18/2024] Open
Abstract
Objective At present, Alzheimer's disease (AD) lacks effective treatment means, and early diagnosis and intervention are the keys to treatment. Therefore, for mild cognitive impairment (MCI) and AD patients, blood sample analysis using the 4D nonstandard (label-free) proteomic in-depth quantitative analysis, looking for specific protein marker expression differences, is important. These marker levels change as AD progresses, and the analysis of these biomarkers changes with this method, which has the potential to show the degree of disease progression and can be used for the diagnosis and preventive treatment of MCI and AD. Materials and Methods Patients were recruited according to the inclusion and exclusion criteria and divided into three groups according to scale scores. Elderly patients diagnosed with AD were selected as the AD group (n = 9). Patients diagnosed with MCI were classified into the MCI group (n = 10). Cognitively healthy elderly patients were included in the normal cognition control group (n = 10). Patients' blood samples were used for 4D label-free proteomic in-depth quantitative analysis to identify potential blood biomarkers. The sample size of each group was expanded (n = 30), and the selected biomarkers were verified by enzyme-linked immunosorbent assay (ELISA) to verify the accuracy of the proteomic prediction. Results Six specific blood markers, namely, APOE, MMP9, UBR5, PLA2G7, STAT5B, and S100A8, were detected by 4D label-free proteomic quantitative analysis. These markers showed a statistically significant upregulation trend in the MCI and AD groups compared with the normal cognition control group (P < 0.05). ELISA results showed that the levels of these six proteins in the MCI group were significantly higher than those in the normal cognition control group, and the levels of these six proteins in the AD group were significantly higher than those in the MCI group (P < 0.05). Conclusion The plasma levels of APOE, MMP9, UBR5, PLA2G7, STAT5B, and S100A8 in cognitively healthy elderly patients and patients with MCI and AD were significantly different and, more importantly, showed a trend of increasing expression. These results indicate that these six human plasma markers have important diagnostic and therapeutic potential in the identification of cognitive impairment and have value for in-depth research and clinical application.
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Affiliation(s)
- Zhitao Hou
- College of Basic Medical and Sciences Heilongjiang University of Chinese Medicine, Harbin 150040, Heilongjiang, China
- Department of Systems Pharmacology and Translational Therapeutics Perelman School of Medicine University of Pennsylvania, Philadelphia 19104, PA, USA
- Key Laboratory of Chinese Internal Medicine of the Ministry of Education Dongzhimen Hospital Affiliated with Beijing University of Chinese Medicine, Beijing 100700, China
- The First Hospital Affiliated with Heilongjiang University of Chinese Medicine, Harbin 150010, Heilongjiang, China
| | - Ailin Sun
- College of Basic Medical and Sciences Heilongjiang University of Chinese Medicine, Harbin 150040, Heilongjiang, China
- Pudong Hospital Affiliated with Fudan University, Shanghai 200120, China
| | - Yan Li
- The First Hospital Affiliated with Heilongjiang University of Chinese Medicine, Harbin 150010, Heilongjiang, China
| | - Xiaochen Song
- College of Basic Medical and Sciences Heilongjiang University of Chinese Medicine, Harbin 150040, Heilongjiang, China
| | - Shu Liu
- College of Basic Medical and Sciences Heilongjiang University of Chinese Medicine, Harbin 150040, Heilongjiang, China
| | - Xinying Hu
- College of Basic Medical and Sciences Heilongjiang University of Chinese Medicine, Harbin 150040, Heilongjiang, China
| | - Yihan Luan
- College of Basic Medical and Sciences Heilongjiang University of Chinese Medicine, Harbin 150040, Heilongjiang, China
| | - Huibo Guan
- College of Basic Medical and Sciences Heilongjiang University of Chinese Medicine, Harbin 150040, Heilongjiang, China
| | - Changyuan He
- College of Basic Medical and Sciences Heilongjiang University of Chinese Medicine, Harbin 150040, Heilongjiang, China
| | - Yuefeng Sun
- College of Basic Medical and Sciences Heilongjiang University of Chinese Medicine, Harbin 150040, Heilongjiang, China
| | - Jing Chen
- College of Basic Medical and Sciences Heilongjiang University of Chinese Medicine, Harbin 150040, Heilongjiang, China
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Niimi Y, Janelidze S, Sato K, Tomita N, Tsukamoto T, Kato T, Yoshiyama K, Kowa H, Iwata A, Ihara R, Suzuki K, Kasuga K, Ikeuchi T, Ishii K, Ito K, Nakamura A, Senda M, Day TA, Burnham SC, Iaccarino L, Pontecorvo MJ, Hansson O, Iwatsubo T. Combining plasma Aβ and p-tau217 improves detection of brain amyloid in non-demented elderly. Alzheimers Res Ther 2024; 16:115. [PMID: 38778353 PMCID: PMC11112892 DOI: 10.1186/s13195-024-01469-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Accepted: 04/29/2024] [Indexed: 05/25/2024]
Abstract
BACKGROUND Maximizing the efficiency to screen amyloid-positive individuals in asymptomatic and non-demented aged population using blood-based biomarkers is essential for future success of clinical trials in the early stage of Alzheimer's disease (AD). In this study, we elucidate the utility of combination of plasma amyloid-β (Aβ)-related biomarkers and tau phosphorylated at threonine 217 (p-tau217) to predict abnormal Aβ-positron emission tomography (PET) in the preclinical and prodromal AD. METHODS We designed the cross-sectional study including two ethnically distinct cohorts, the Japanese trial-ready cohort for preclinica and prodromal AD (J-TRC) and the Swedish BioFINDER study. J-TRC included 474 non-demented individuals (CDR 0: 331, CDR 0.5: 143). Participants underwent plasma Aβ and p-tau217 assessments, and Aβ-PET imaging. Findings in J-TRC were replicated in the BioFINDER cohort including 177 participants (cognitively unimpaired: 114, mild cognitive impairment: 63). In both cohorts, plasma Aβ(1-42) (Aβ42) and Aβ(1-40) (Aβ40) were measured using immunoprecipitation-MALDI TOF mass spectrometry (Shimadzu), and p-tau217 was measured with an immunoassay on the Meso Scale Discovery platform (Eli Lilly). RESULTS Aβ-PET was abnormal in 81 participants from J-TRC and 71 participants from BioFINDER. Plasma Aβ42/Aβ40 ratio and p-tau217 individually showed moderate to high accuracies when detecting abnormal Aβ-PET scans, which were improved by combining plasma biomarkers and by including age, sex and APOE genotype in the models. In J-TRC, the highest AUCs were observed for the models combining p-tau217/Aβ42 ratio, APOE, age, sex in the whole cohort (AUC = 0.936), combining p-tau217, Aβ42/Aβ40 ratio, APOE, age, sex in the CDR 0 group (AUC = 0.948), and combining p-tau217/Aβ42 ratio, APOE, age, sex in the CDR 0.5 group (AUC = 0.955), respectively. Each subgroup results were replicated in BioFINDER, where the highest AUCs were seen for models combining p-tau217, Aβ42/40 ratio, APOE, age, sex in cognitively unimpaired (AUC = 0.938), and p-tau217/Aβ42 ratio, APOE, age, sex in mild cognitive impairment (AUC = 0.914). CONCLUSIONS Combination of plasma Aβ-related biomarkers and p-tau217 exhibits high performance when predicting Aβ-PET positivity. Adding basic clinical information (i.e., age, sex, APOE ε genotype) improved the prediction in preclinical AD, but not in prodromal AD. Combination of Aβ-related biomarkers and p-tau217 could be highly useful for pre-screening of participants in clinical trials of preclinical and prodromal AD.
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Affiliation(s)
- Yoshiki Niimi
- Unit for Early and Exploratory Clinical Development, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-0033, Japan
| | - Shorena Janelidze
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Kenichiro Sato
- Unit for Early and Exploratory Clinical Development, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-0033, Japan
- Department of Neuropathology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Naoki Tomita
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
- Department of Geriatric Medicine and Neuroimaging, Tohoku University Hospital, Sendai, Japan
| | - Tadashi Tsukamoto
- Department of Neurology, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Takashi Kato
- Department of Clinical and Experimental Neuroimaging, National Center for Geriatrics and Gerontology, Aichi, Japan
| | - Kenji Yoshiyama
- Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Hisatomo Kowa
- Graduate School of Health Sciences, Kobe University, Hyogo, Japan
| | - Atsushi Iwata
- Department of Neurology, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Tokyo, Japan
| | - Ryoko Ihara
- Department of Neurology, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Tokyo, Japan
| | - Kazushi Suzuki
- Division of Neurology, Internal Medicine, National Defense Medical College, Saitama, Japan
| | - Kensaku Kasuga
- Department of Molecular Genetics, Brain Research Institute, Niigata University, Niigata, Japan
| | - Takeshi Ikeuchi
- Department of Molecular Genetics, Brain Research Institute, Niigata University, Niigata, Japan
| | - Kenji Ishii
- Integrated Research Initiative for Living Well With Dementia, Tokyo Metropolitan Institute for Geriatric and Gerontology, Tokyo, Japan
| | - Kengo Ito
- Department of Clinical and Experimental Neuroimaging, National Center for Geriatrics and Gerontology, Aichi, Japan
| | - Akinori Nakamura
- Department of Clinical and Experimental Neuroimaging, National Center for Geriatrics and Gerontology, Aichi, Japan
| | - Michio Senda
- Department of Molecular Imaging Research, Kobe City Medical Center General Hospital, Hyogo, Japan
| | | | | | | | | | - Oskar Hansson
- Unit for Early and Exploratory Clinical Development, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-0033, Japan.
- Memory Clinic, Skåne University Hospital, Lund, Sweden.
| | - Takeshi Iwatsubo
- Unit for Early and Exploratory Clinical Development, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-0033, Japan.
- Department of Neuropathology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
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Chen Y, Wang Y, Tao Q, Lu P, Meng F, Zhuang L, Qiao S, Zhang Y, Luo B, Liu Y, Peng G. Diagnostic value of isolated plasma biomarkers and its combination in neurodegenerative dementias: A multicenter cohort study. Clin Chim Acta 2024; 558:118784. [PMID: 38588788 DOI: 10.1016/j.cca.2024.118784] [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: 10/18/2023] [Revised: 03/17/2024] [Accepted: 04/03/2024] [Indexed: 04/10/2024]
Abstract
BACKGROUND Plasma amyloid-β (Aβ), phosphorylated tau-181 (p-tau181), neurofilament light (NfL) and glial fibrillary acidic protein (GFAP) potentially aid in the diagnosis of neurodegenerative dementias. We aim to conduct a comprehensive comparison between different biomarkers and their combination, which is lacking, in a multicenter Chinese dementia cohort consisting of Alzheimer's disease (AD), frontotemporal dementia (FTD), and progressive supranuclear palsy (PSP). METHODS We enrolled 92 demented patients [64 AD, 16 FTD, and 12 PSP with dementia] and 20 healthy controls (HC). Their plasma Αβ, p-tau181, NfL, and GFAP were detected by highly sensitive-single molecule immunoassays. Αβ pathology in patients was measured by cerebrospinal fluid or/and amyloid positron emission tomography. RESULTS All plasma biomarkers tested were significantly altered in dementia patients compared with HC, especially Aβ42/Aβ40 and NfL showed significant performance in distinguishing AD from HC. A combination of plasma Aβ42/Aβ40, p-tau181, NfL, and GFAP could discriminate FTD or PSP well from HC and was able to distinguish AD and non-AD (FTD/PSP). CONCLUSIONS Our results confirmed the diagnostic performance of individual plasma biomarkers Aβ42/Aβ40, p-tau181, NfL, and GFAP in Chinese dementia patients and noted that a combination of these biomarkers may be more accurate in identifying FTD/PSP patients and distinguishing AD from non-AD dementia.
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Affiliation(s)
- Yi Chen
- Department of Neurology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yunyun Wang
- Department of Neurology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China; Department of Neurology, Shengzhou People's Hospital, Shaoxing, China
| | - Qingqing Tao
- Department of Neurology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Peilin Lu
- Department of Neurology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Fanxia Meng
- Department of Neurology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Liying Zhuang
- Department of Neurology, the Affiliated Zhejiang Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Song Qiao
- Department of Neurology, the Affiliated Zhejiang Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Ying Zhang
- Department of Geriatrics, Tongde Hospital of Zhejiang Province, Hangzhou, China
| | - Benyan Luo
- Department of Neurology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
| | - Yang Liu
- Department of Neurology, Saarland University, KirrbergerstraBe Geb., 90D-66421 Homburg/Sarr, German.
| | - Guoping Peng
- Department of Neurology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
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29
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Zeng X, Chen Y, Sehrawat A, Lee J, Lafferty TK, Kofler J, Berman SB, Sweet RA, Tudorascu DL, Klunk WE, Ikonomovic MD, Pfister A, Zetterberg H, Snitz BE, Cohen AD, Villemagne VL, Pascoal TA, Kamboh ML, Lopez OI, Blennow K, Karikari TK. Alzheimer blood biomarkers: practical guidelines for study design, sample collection, processing, biobanking, measurement and result reporting. Mol Neurodegener 2024; 19:40. [PMID: 38750570 PMCID: PMC11095038 DOI: 10.1186/s13024-024-00711-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 02/13/2024] [Indexed: 05/19/2024] Open
Abstract
Alzheimer's disease (AD), the most common form of dementia, remains challenging to understand and treat despite decades of research and clinical investigation. This might be partly due to a lack of widely available and cost-effective modalities for diagnosis and prognosis. Recently, the blood-based AD biomarker field has seen significant progress driven by technological advances, mainly improved analytical sensitivity and precision of the assays and measurement platforms. Several blood-based biomarkers have shown high potential for accurately detecting AD pathophysiology. As a result, there has been considerable interest in applying these biomarkers for diagnosis and prognosis, as surrogate metrics to investigate the impact of various covariates on AD pathophysiology and to accelerate AD therapeutic trials and monitor treatment effects. However, the lack of standardization of how blood samples and collected, processed, stored analyzed and reported can affect the reproducibility of these biomarker measurements, potentially hindering progress toward their widespread use in clinical and research settings. To help address these issues, we provide fundamental guidelines developed according to recent research findings on the impact of sample handling on blood biomarker measurements. These guidelines cover important considerations including study design, blood collection, blood processing, biobanking, biomarker measurement, and result reporting. Furthermore, the proposed guidelines include best practices for appropriate blood handling procedures for genetic and ribonucleic acid analyses. While we focus on the key blood-based AD biomarkers for the AT(N) criteria (e.g., amyloid-beta [Aβ]40, Aβ42, Aβ42/40 ratio, total-tau, phosphorylated-tau, neurofilament light chain, brain-derived tau and glial fibrillary acidic protein), we anticipate that these guidelines will generally be applicable to other types of blood biomarkers. We also anticipate that these guidelines will assist investigators in planning and executing biomarker research, enabling harmonization of sample handling to improve comparability across studies.
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Affiliation(s)
- Xuemei Zeng
- Department of Psychiatry, School of Medicine, University of Pittsburgh, 3811 O'Hara Street, Pittsburgh, PA, 15213, USA
| | - Yijun Chen
- Department of Chemistry, University of Pittsburgh, Pittsburgh, PA, 15213, USA
| | - Anuradha Sehrawat
- Department of Psychiatry, School of Medicine, University of Pittsburgh, 3811 O'Hara Street, Pittsburgh, PA, 15213, USA
| | - Jihui Lee
- Department of Psychiatry, School of Medicine, University of Pittsburgh, 3811 O'Hara Street, Pittsburgh, PA, 15213, USA
| | - Tara K Lafferty
- Department of Psychiatry, School of Medicine, University of Pittsburgh, 3811 O'Hara Street, Pittsburgh, PA, 15213, USA
| | - Julia Kofler
- Department of Pathology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, 15213, USA
| | - Sarah B Berman
- Department of Neurology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, 15213, USA
| | - Robert A Sweet
- Department of Psychiatry, School of Medicine, University of Pittsburgh, 3811 O'Hara Street, Pittsburgh, PA, 15213, USA
- Department of Neurology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, 15213, USA
| | - Dana L Tudorascu
- Department of Psychiatry, School of Medicine, University of Pittsburgh, 3811 O'Hara Street, Pittsburgh, PA, 15213, USA
| | - William E Klunk
- Department of Psychiatry, School of Medicine, University of Pittsburgh, 3811 O'Hara Street, Pittsburgh, PA, 15213, USA
| | - Milos D Ikonomovic
- Department of Psychiatry, School of Medicine, University of Pittsburgh, 3811 O'Hara Street, Pittsburgh, PA, 15213, USA
- Department of Neurology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, 15213, USA
- Geriatric Research Education and Clinical Center, VA Pittsburgh HS, Pittsburgh, PA, USA
| | - Anna Pfister
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
- UK Dementia Research Institute at UCL, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
- Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Beth E Snitz
- Department of Neurology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, 15213, USA
| | - Anne D Cohen
- Department of Psychiatry, School of Medicine, University of Pittsburgh, 3811 O'Hara Street, Pittsburgh, PA, 15213, USA
| | - Victor L Villemagne
- Department of Psychiatry, School of Medicine, University of Pittsburgh, 3811 O'Hara Street, Pittsburgh, PA, 15213, USA
| | - Tharick A Pascoal
- Department of Psychiatry, School of Medicine, University of Pittsburgh, 3811 O'Hara Street, Pittsburgh, PA, 15213, USA
- Department of Neurology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, 15213, USA
| | - M Llyas Kamboh
- Department of Human Genetics, School of Public Health, University of Pittsburgh, Pittsburgh, PA, 15213, USA
| | - Oscar I Lopez
- Department of Neurology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, 15213, USA
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Thomas K Karikari
- Department of Psychiatry, School of Medicine, University of Pittsburgh, 3811 O'Hara Street, Pittsburgh, PA, 15213, USA.
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden.
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Abukuri DN. Novel Biomarkers for Alzheimer's Disease: Plasma Neurofilament Light and Cerebrospinal Fluid. Int J Alzheimers Dis 2024; 2024:6668159. [PMID: 38779175 PMCID: PMC11111307 DOI: 10.1155/2024/6668159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2023] [Revised: 03/18/2024] [Accepted: 04/24/2024] [Indexed: 05/25/2024] Open
Abstract
Neurodegenerative disorders such as Alzheimer's disease (AD) represent an increasingly significant public health concern. As clinical diagnosis faces challenges, biomarkers are becoming increasingly important in research, trials, and patient assessments. While biomarkers like amyloid-β peptide, tau proteins, CSF levels (Aβ, tau, and p-tau), and neuroimaging techniques are commonly used in AD diagnosis, they are often limited and invasive in monitoring and diagnosis. For this reason, blood-based biomarkers are the optimal choice for detecting neurodegeneration in brain diseases due to their noninvasiveness, affordability, reliability, and consistency. This literature review focuses on plasma neurofilament light (NfL) and CSF NfL as blood-based biomarkers used in recent AD diagnosis. The findings revealed that the core CSF biomarkers of neurodegeneration (T-tau, P-tau, and Aβ42), CSF NFL, and plasma T-tau were strongly associated with Alzheimer's disease, and the core biomarkers were strongly associated with mild cognitive impairment due to Alzheimer's disease. Elevated levels of plasma and cerebrospinal fluid NfL were linked to decreased [18F]FDG uptake in corresponding brain areas. In participants with Aβ positivity (Aβ+), NfL correlated with reduced metabolism in regions susceptible to Alzheimer's disease. In addition, CSF NfL levels correlate with brain atrophy and predict cognitive changes, while plasma total tau does not. Plasma P-tau, especially in combination with Aβ42/Aβ40, is promising for symptomatic AD stages. Though not AD-exclusive, blood NfL holds promise for neurodegeneration detection and assessing treatment efficacy. Given the consistent levels of T-tau, P-tau, Aβ42, and NFL in CSF, their incorporation into both clinical practice and research is highly recommended.
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31
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Gouveia Roque C, Phatnani H, Hengst U. The broken Alzheimer's disease genome. CELL GENOMICS 2024; 4:100555. [PMID: 38697121 PMCID: PMC11099344 DOI: 10.1016/j.xgen.2024.100555] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 02/25/2024] [Accepted: 04/07/2024] [Indexed: 05/04/2024]
Abstract
The complex pathobiology of late-onset Alzheimer's disease (AD) poses significant challenges to therapeutic and preventative interventions. Despite these difficulties, genomics and related disciplines are allowing fundamental mechanistic insights to emerge with clarity, particularly with the introduction of high-resolution sequencing technologies. After all, the disrupted processes at the interface between DNA and gene expression, which we call the broken AD genome, offer detailed quantitative evidence unrestrained by preconceived notions about the disease. In addition to highlighting biological pathways beyond the classical pathology hallmarks, these advances have revitalized drug discovery efforts and are driving improvements in clinical tools. We review genetic, epigenomic, and gene expression findings related to AD pathogenesis and explore how their integration enables a better understanding of the multicellular imbalances contributing to this heterogeneous condition. The frontiers opening on the back of these research milestones promise a future of AD care that is both more personalized and predictive.
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Affiliation(s)
- Cláudio Gouveia Roque
- Center for Genomics of Neurodegenerative Disease, New York Genome Center, New York, NY 10013, USA; The Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA.
| | - Hemali Phatnani
- Center for Genomics of Neurodegenerative Disease, New York Genome Center, New York, NY 10013, USA; Department of Neurology, Center for Translational and Computational Neuroimmunology, Columbia University, New York, NY 10032, USA
| | - Ulrich Hengst
- The Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA; Department of Pathology & Cell Biology, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA.
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32
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Kim M, Huh S, Park HJ, Cho SH, Lee MY, Jo S, Jung YS. Surface-functionalized SERS platform for deep learning-assisted diagnosis of Alzheimer's disease. Biosens Bioelectron 2024; 251:116128. [PMID: 38367567 DOI: 10.1016/j.bios.2024.116128] [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: 08/17/2023] [Revised: 10/16/2023] [Accepted: 02/11/2024] [Indexed: 02/19/2024]
Abstract
Early diagnosis of Alzheimer's disease is crucial to stall the deterioration of brain function, but conventional diagnostic methods require complicated analytical procedures or inflict acute pain on the patient. Then, label-free Surface-enhanced Raman spectroscopy (SERS) analysis of blood-based biomarkers is a convenient alternative to rapidly obtain spectral information from biofluids. However, despite the rapid acquisition of spectral information from biofluids, it is challenging to distinguish spectral features of biomarkers due to interference from biofluidic components. Here, we introduce a deep learning-assisted, SERS-based platform for separate analysis of blood-based amyloid β (1-42) and metabolites, enabling the diagnosis of Alzheimer's disease. SERS substrates consisting of Au nanowire arrays are fabricated and functionalized in two characteristic ways to compare the validity of different Alzheimer's disease biomarkers measured on our SERS system. The 6E10 antibody is immobilized for the capture of amyloid β (1-42) and analysis of its oligomerization process, while various self-assembled monolayers are attached for different dipole interactions with blood-based metabolites. Ultimately, SERS spectra of blood plasma of Alzheimer's disease patients and human controls are measured on the substrates and classified via advanced deep learning techniques that automatically extract informative features to learn generalizable representations. Accuracies up to 99.5% are achieved for metabolite-based analyses, which are verified with an explainable artificial intelligence technique that identifies key spectral features used for classification and for deducing significant biomarkers.
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Affiliation(s)
- Minjoon Kim
- Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea
| | - Sejoon Huh
- School of Computing, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea
| | - Hyung Joon Park
- Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea
| | - Seunghee H Cho
- Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea
| | - Min-Young Lee
- Department of Nano-Bio Convergence, Surface Materials Division, Korea Institute of Materials Science (KIMS), Changwon-si, Gyeongsangnam-do, 51508, Republic of Korea.
| | - Sungho Jo
- School of Computing, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea.
| | - Yeon Sik Jung
- Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea.
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33
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Mantellatto Grigoli M, Pelegrini LNC, Whelan R, Cominetti MR. Present and Future of Blood-Based Biomarkers of Alzheimer's Disease: Beyond the Classics. Brain Res 2024; 1830:148812. [PMID: 38369085 DOI: 10.1016/j.brainres.2024.148812] [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: 08/12/2023] [Revised: 11/13/2023] [Accepted: 02/13/2024] [Indexed: 02/20/2024]
Abstract
The field of blood-based biomarkers for Alzheimer's disease (AD) has advanced at an incredible pace, especially after the development of sensitive analytic platforms that can facilitate large-scale screening. Such screening will be important when more sophisticated diagnostic methods are scarce and expensive. Thus, blood-based biomarkers can potentially reduce diagnosis inequities among populations from different socioeconomic contexts. This large-scale screening can be performed so that older adults at risk of cognitive decline assessed using these methods can then undergo more complete assessments with classic biomarkers, increasing diagnosis efficiency and reducing costs to the health systems. Blood-based biomarkers can also aid in assessing the effect of new disease-modifying treatments. This paper reviews recent advances in the area, focusing on the following leading candidates for blood-based biomarkers: amyloid-beta (Aβ), phosphorylated tau isoforms (p-tau), neurofilament light (NfL), and glial fibrillary acidic (GFAP) proteins, as well as on new candidates, Neuron-Derived Exosomes contents (NDEs) and Transactive response DNA-binding protein-43 (TDP-43), based on data from longitudinal observational cohort studies. The underlying challenges of validating and incorporating these biomarkers into routine clinical practice and primary care settings are also discussed. Importantly, challenges related to the underrepresentation of ethnic minorities and socioeconomically disadvantaged persons must be considered. If these challenges are overcome, a new time of cost-effective blood-based biomarkers for AD could represent the future of clinical procedures in the field and, together with continued prevention strategies, the beginning of an era with a lower incidence of dementia worldwide.
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Affiliation(s)
| | | | - Robert Whelan
- Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland; School of Psychology, Trinity College Dublin, Dublin, Ireland
| | - Marcia R Cominetti
- Department of Gerontology, Federal University of São Carlos, Brazil; Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland.
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Oosthoek M, Vermunt L, de Wilde A, Bongers B, Antwi-Berko D, Scheltens P, van Bokhoven P, Vijverberg EGB, Teunissen CE. Utilization of fluid-based biomarkers as endpoints in disease-modifying clinical trials for Alzheimer's disease: a systematic review. Alzheimers Res Ther 2024; 16:93. [PMID: 38678292 PMCID: PMC11055304 DOI: 10.1186/s13195-024-01456-1] [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: 10/27/2023] [Accepted: 04/12/2024] [Indexed: 04/29/2024]
Abstract
BACKGROUND Clinical trials in Alzheimer's disease (AD) had high failure rates for several reasons, including the lack of biological endpoints. Fluid-based biomarkers may present a solution to measure biologically relevant endpoints. It is currently unclear to what extent fluid-based biomarkers are applied to support drug development. METHODS We systematically reviewed 272 trials (clinicaltrials.gov) with disease-modifying therapies starting between 01-01-2017 and 01-01-2024 and identified which CSF and/or blood-based biomarker endpoints were used per purpose and trial type. RESULTS We found that 44% (N = 121) of the trials employed fluid-based biomarker endpoints among which the CSF ATN biomarkers (Aβ (42/40), p/tTau) were used most frequently. In blood, inflammatory cytokines, NFL, and pTau were most frequently employed. Blood- and CSF-based biomarkers were used approximately equally. Target engagement biomarkers were used in 26% (N = 72) of the trials, mainly in drugs targeting inflammation and amyloid. Lack of target engagement markers is most prominent in synaptic plasticity/neuroprotection, neurotransmitter receptor, vasculature, epigenetic regulators, proteostasis and, gut-brain axis targeting drugs. Positive biomarker results did not always translate to cognitive effects, most commonly the small significant reductions in CSF tau isoforms that were seen following anti-Tau treatments. On the other hand, the positive anti-amyloid trials results on cognitive function were supported by clear effect in most fluid markers. CONCLUSIONS As the field moves towards primary prevention, we expect an increase in the use of fluid-based biomarkers to determine disease modification. Use of blood-based biomarkers will rapidly increase, but CSF markers remain important to determine brain-specific treatment effects. With improving techniques, new biomarkers can be found to diversify the possibilities in measuring treatment effects and target engagement. It remains important to interpret biomarker results in the context of the trial and be aware of the performance of the biomarker. Diversifying biomarkers could aid in the development of surrogacy biomarkers for different drug targets.
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Affiliation(s)
- Marlies Oosthoek
- Department of Laboratory Medicine, Neurochemistry Laboratory, Vrije Universiteit Amsterdam, Amsterdam UMC, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands.
| | - Lisa Vermunt
- Department of Laboratory Medicine, Neurochemistry Laboratory, Vrije Universiteit Amsterdam, Amsterdam UMC, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Arno de Wilde
- EQT Life Sciences, Johannes Vermeersplein 9, 1071 DV, Amsterdam, The Netherlands
| | - Bram Bongers
- Department of Laboratory Medicine, Neurochemistry Laboratory, Vrije Universiteit Amsterdam, Amsterdam UMC, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Daniel Antwi-Berko
- Department of Laboratory Medicine, Neurochemistry Laboratory, Vrije Universiteit Amsterdam, Amsterdam UMC, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Philip Scheltens
- EQT Life Sciences, Johannes Vermeersplein 9, 1071 DV, Amsterdam, The Netherlands
- Alzheimer Center, Department of Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | | | - Everard G B Vijverberg
- Alzheimer Center, Department of Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Charlotte E Teunissen
- Department of Laboratory Medicine, Neurochemistry Laboratory, Vrije Universiteit Amsterdam, Amsterdam UMC, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
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Bertran-Cobo C, Dumont E, Noordin NR, Lai MY, Stone W, Tetteh KK, Drakeley C, Krishna S, Lau YL, Wassmer SC. Plasmodium knowlesi infection is associated with elevated circulating biomarkers of brain injury and endothelial activation. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.04.25.24306382. [PMID: 38712121 PMCID: PMC11071568 DOI: 10.1101/2024.04.25.24306382] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2024]
Abstract
Introduction Malaria remains a major public health concern with substantial morbidity and mortality worldwide. In Malaysia, the emergence of Plasmodium knowlesi has led to a surge in zoonotic malaria cases and deaths in recent years. Signs of cerebral involvement have been observed in a non-comatose, fatal case of severe knowlesi infection, but the potential impact of this malaria species on the brain remains underexplored. To address this gap, we investigated circulating levels of brain injury, inflammation, and vascular biomarkers in a cohort of knowlesi-infected patients and controls. Methods Archived plasma samples from 19 patients with confirmed symptomatic knowlesi infection and 19 healthy, age-matched controls from Peninsular Malaysia were analysed. A total of 52 plasma biomarkers of brain injury, inflammation, and vascular activation were measured using Luminex and SIMOA assays. Wilcoxon tests were used to examine group differences, and biomarker profiles were explored through hierarchical clustering heatmap analysis. Results Bonferroni-corrected analyses revealed significantly elevated brain injury biomarker levels in knowlesi-infected patients, including S100B (p<0.0001), Tau (p=0.0007), UCH-L1 (p<0.0001), αSyn (p<0.0001), Park7 (p=0.0006), NRGN (p=0.0022), and TDP-43 (p=0.005). Compared to controls, levels were lower in the infected group for BDNF (p<0.0001), CaBD (p<0.0001), CNTN1 (p<0.0001), NCAM-1 (p<0.0001), GFAP (p=0.0013), and KLK6 (p=0.0126). Hierarchical clustering revealed distinct group profiles for circulating levels of brain injury and vascular activation biomarkers. Conclusions Our findings highlight for the first time the impact of Plasmodium knowlesi infection on the brain, with distinct alterations in cerebral injury and endothelial activation biomarker profiles compared to healthy controls. Further studies are warranted to investigate the pathophysiology and clinical significance of these altered surrogate markers, through both neuroimaging and long-term neurocognitive assessments.
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Yamada K, Iwatsubo T. Involvement of the glymphatic/meningeal lymphatic system in Alzheimer's disease: insights into proteostasis and future directions. Cell Mol Life Sci 2024; 81:192. [PMID: 38652179 PMCID: PMC11039514 DOI: 10.1007/s00018-024-05225-z] [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: 09/20/2023] [Revised: 01/29/2024] [Accepted: 04/01/2024] [Indexed: 04/25/2024]
Abstract
BACKGROUND Alzheimer's disease (AD) is pathologically characterized by the abnormal accumulation of Aβ and tau proteins. There has long been a keen interest among researchers in understanding how Aβ and tau are ultimately cleared in the brain. The discovery of this glymphatic system introduced a novel perspective on protein clearance and it gained recognition as one of the major brain clearance pathways for clearing these pathogenic proteins in AD. This finding has sparked interest in exploring the potential contribution of the glymphatic/meningeal lymphatic system in AD. Furthermore, there is a growing emphasis and discussion regarding the possibility that activating the glymphatic/meningeal lymphatic system could serve as a novel therapeutic strategy against AD. OBJECTIVES Given this current research trend, the primary focus of this comprehensive review is to highlight the role of the glymphatic/meningeal lymphatic system in the pathogenesis of AD. The discussion will encompass future research directions and prospects for treatment in relation to the glymphatic/meningeal lymphatic system.
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Affiliation(s)
- Kaoru Yamada
- Department of Neuropathology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
| | - Takeshi Iwatsubo
- Department of Neuropathology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- National Institute of Neuroscience, National Center of Neurology and Psychiatry, Kodaira, Tokyo, Japan
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Liu Z, Shi D, Cai Y, Li A, Lan G, Sun P, Liu L, Zhu Y, Yang J, Zhou Y, Guo L, Zhang L, Deng S, Chen S, Yu X, Chen X, Zhao R, Wang Q, Ran P, Xu L, Zhou L, Sun K, Wang X, Peng Q, Han Y, Guo T. Pathophysiology characterization of Alzheimer's disease in South China's aging population: for the Greater-Bay-Area Healthy Aging Brain Study (GHABS). Alzheimers Res Ther 2024; 16:84. [PMID: 38627753 PMCID: PMC11020808 DOI: 10.1186/s13195-024-01458-z] [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: 10/28/2023] [Accepted: 04/12/2024] [Indexed: 04/19/2024]
Abstract
INTRODUCTION The Guangdong-Hong Kong-Macao Greater-Bay-Area of South China has an 86 million population and faces a significant challenge of Alzheimer's disease (AD). However, the characteristics and prevalence of AD in this area are still unclear due to the rarely available community-based neuroimaging AD cohort. METHODS Following the standard protocols of the Alzheimer's Disease Neuroimaging Initiative, the Greater-Bay-Area Healthy Aging Brain Study (GHABS) was initiated in 2021. GHABS participants completed clinical assessments, plasma biomarkers, genotyping, magnetic resonance imaging (MRI), β-amyloid (Aβ) positron emission tomography (PET) imaging, and tau PET imaging. The GHABS cohort focuses on pathophysiology characterization and early AD detection in the Guangdong-Hong Kong-Macao Greater Bay Area. In this study, we analyzed plasma Aβ42/Aβ40 (A), p-Tau181 (T), neurofilament light, and GFAP by Simoa in 470 Chinese older adults, and 301, 195, and 70 had MRI, Aβ PET, and tau PET, respectively. Plasma biomarkers, Aβ PET, tau PET, hippocampal volume, and temporal-metaROI cortical thickness were compared between normal control (NC), subjective cognitive decline (SCD), mild cognitive impairment (MCI), and dementia groups, controlling for age, sex, and APOE-ε4. The prevalence of plasma A/T profiles and Aβ PET positivity were also determined in different diagnostic groups. RESULTS The aims, study design, data collection, and potential applications of GHABS are summarized. SCD individuals had significantly higher plasma p-Tau181 and plasma GFAP than the NC individuals. MCI and dementia patients showed more abnormal changes in all the plasma and neuroimaging biomarkers than NC and SCD individuals. The frequencies of plasma A+/T+ (NC; 5.9%, SCD: 8.2%, MCI: 25.3%, dementia: 64.9%) and Aβ PET positivity (NC: 25.6%, SCD: 22.5%, MCI: 47.7%, dementia: 89.3%) were reported. DISCUSSION The GHABS cohort may provide helpful guidance toward designing standard AD community cohorts in South China. This study, for the first time, reported the pathophysiology characterization of plasma biomarkers, Aβ PET, tau PET, hippocampal atrophy, and AD-signature cortical thinning, as well as the prevalence of Aβ PET positivity in the Guangdong-Hong Kong-Macao Greater Bay Area of China. These findings provide novel insights into understanding the characteristics of abnormal AD pathological changes in South China's older population.
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Affiliation(s)
- Zhen Liu
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, No.5 Kelian Road, Shenzhen, 518132, China
| | - Dai Shi
- Neurology Medicine Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, 518000, China
| | - Yue Cai
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, No.5 Kelian Road, Shenzhen, 518132, China
| | - Anqi Li
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, No.5 Kelian Road, Shenzhen, 518132, China
| | - Guoyu Lan
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, No.5 Kelian Road, Shenzhen, 518132, China
| | - Pan Sun
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, No.5 Kelian Road, Shenzhen, 518132, China
| | - Lin Liu
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, No.5 Kelian Road, Shenzhen, 518132, China
| | - Yalin Zhu
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, No.5 Kelian Road, Shenzhen, 518132, China
| | - Jie Yang
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, No.5 Kelian Road, Shenzhen, 518132, China
| | - Yajing Zhou
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, No.5 Kelian Road, Shenzhen, 518132, China
| | - Lizhi Guo
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, No.5 Kelian Road, Shenzhen, 518132, China
| | - Laihong Zhang
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, No.5 Kelian Road, Shenzhen, 518132, China
| | - Shuqing Deng
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, No.5 Kelian Road, Shenzhen, 518132, China
| | - Shuda Chen
- Neurology Medicine Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, 518000, China
| | - Xianfeng Yu
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, 100053, China
| | - Xuhui Chen
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, No.5 Kelian Road, Shenzhen, 518132, China
- Department of Neurology, Peking University Shenzhen Hospital, Shenzhen, 518000, China
| | - Ruiyue Zhao
- Department of Nuclear Medicine, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, 510120, China
| | - Qingyong Wang
- Department of Neurology, University of Chinese Academy of Sciences-Shenzhen Hospital, Shenzhen, 518107, China
| | - Pengcheng Ran
- Department of Nuclear Medicine, Guangdong Hospital of Traditional Chinese Medicine, Guangzhou, 510120, China
| | - Linsen Xu
- Department of Medical Imaging, University of Chinese Academy of Sciences-Shenzhen Hospital, Shenzhen, 518106, China
| | - Liemin Zhou
- Neurology Medicine Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, 518000, China
| | - Kun Sun
- Institute of Cancer Research, Shenzhen Bay Laboratory, Shenzhen, 518132, China
| | - Xinlu Wang
- Department of Nuclear Medicine, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, 510120, China
| | - Qiyu Peng
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, No.5 Kelian Road, Shenzhen, 518132, China
| | - Ying Han
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, No.5 Kelian Road, Shenzhen, 518132, China
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, 100053, China
- School of Biomedical Engineering, Hainan University, Haikou, 570228, China
- Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, 100053, China
- National Clinical Research Center for Geriatric Diseases, Beijing, 100053, China
| | - Tengfei Guo
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, No.5 Kelian Road, Shenzhen, 518132, China.
- Institute of Biomedical Engineering, Peking University Shenzhen Graduate School, Shenzhen, 518055, China.
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Pérez Gutiérrez RM, Rodríguez-Serrano LM, Laguna-Chimal JF, de la Luz Corea M, Paredes Carrera SP, Téllez Gomez J. Geniposide and Harpagoside Functionalized Cerium Oxide Nanoparticles as a Potential Neuroprotective. Int J Mol Sci 2024; 25:4262. [PMID: 38673848 PMCID: PMC11049985 DOI: 10.3390/ijms25084262] [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: 01/28/2024] [Revised: 03/12/2024] [Accepted: 03/20/2024] [Indexed: 04/28/2024] Open
Abstract
Alzheimer's disease is associated with protein aggregation, oxidative stress, and the role of acetylcholinesterase in the pathology of the disease. Previous investigations have demonstrated that geniposide and harpagoside protect the brain neurons, and cerium nanoparticles (CeO2 NPs) have potent redox and antioxidant properties. Thus, the effect of nanoparticles of Ce NPs and geniposide and harpagoside (GH/CeO2 NPs) on ameliorating AD pathogenesis was established on AlCl3-induced AD in mice and an aggregation proteins test in vitro. Findings of spectroscopy analysis have revealed that GH/CeO2 NPs are highly stable, nano-size, spherical in shape, amorphous nature, and a total encapsulation of GH in cerium. Treatments with CeO2 NPs, GH/CeO2 NPs, and donepezil used as positive control inhibit fibril formation and protein aggregation, protect structural modifications in the BSA-ribose system, have the ability to counteract Tau protein aggregation and amyloid-β1-42 aggregation under fibrillation condition, and are able to inhibit AChE and BuChE. While the GH/CeO2 NPs, treatment in AD induced by AlCl3 inhibited amyloid-β1-42, substantially enhanced the memory, the cognition coordination of movement in part AD pathogenesis may be alleviated through reducing amyloidogenic pathway and AChE and BuChE activities. The findings of this work provide important comprehension of the chemoprotective activities of iridoids combined with nanoparticles. This could be useful in the development of new therapeutic methods for the treatment of neurodegenerative diseases.
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Affiliation(s)
- Rosa Martha Pérez Gutiérrez
- Natural Products Research Laboratory, Higher School of Chemical Engineering and Extractive Industries, National Polytechnic Institute (IPN), Av. National Polytechnic Institute S/N, Mexico City 07708, Mexico
| | - Luis Miguel Rodríguez-Serrano
- Faculty of Psychology, Universidad Anáhuac México Norte, Huixquilucan 52786, CP, Mexico; (L.M.R.-S.); (J.F.L.-C.); (J.T.G.)
| | - José Fidel Laguna-Chimal
- Faculty of Psychology, Universidad Anáhuac México Norte, Huixquilucan 52786, CP, Mexico; (L.M.R.-S.); (J.F.L.-C.); (J.T.G.)
| | - Mónica de la Luz Corea
- Polymer Research Laboratory, Higher School of Chemical Engineering and Extractive Industries, National Polytechnic Institute (IPN), Av. Instituto Politécnico Nacional S/N, Mexico City 07708, Mexico;
| | - Silvia Patricia Paredes Carrera
- Sustainable Nanomaterials Laboratory, Higher School of Chemical Engineering and Industries Extractives, National Polytechnic Institute (IPN), Av. National Polytechnic Institute S/N, Mexico City 07708, Mexico;
| | - Julio Téllez Gomez
- Faculty of Psychology, Universidad Anáhuac México Norte, Huixquilucan 52786, CP, Mexico; (L.M.R.-S.); (J.F.L.-C.); (J.T.G.)
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Wang S, Xie S, Zheng Q, Zhang Z, Wang T, Zhang G. Biofluid biomarkers for Alzheimer's disease. Front Aging Neurosci 2024; 16:1380237. [PMID: 38659704 PMCID: PMC11039951 DOI: 10.3389/fnagi.2024.1380237] [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: 02/01/2024] [Accepted: 03/27/2024] [Indexed: 04/26/2024] Open
Abstract
Alzheimer's disease (AD) is a multifactorial neurodegenerative disease, with a complex pathogenesis and an irreversible course. Therefore, the early diagnosis of AD is particularly important for the intervention, prevention, and treatment of the disease. Based on the different pathophysiological mechanisms of AD, the research progress of biofluid biomarkers are classified and reviewed. In the end, the challenges and perspectives of future research are proposed.
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Affiliation(s)
- Sensen Wang
- Shandong Yinfeng Academy of Life Science, Jinan, Shandong, China
- School of Pharmacy, Key Laboratory of Molecular Pharmacology and Drug Evaluation, Ministry of Education, Collaborative Innovation Center of Advanced Drug Delivery System and Biotech Drugs in Universities of Shandong, Yantai University, Yantai, Shandong, China
| | - Sitan Xie
- Shandong Yinfeng Academy of Life Science, Jinan, Shandong, China
| | - Qinpin Zheng
- Shandong Yinfeng Academy of Life Science, Jinan, Shandong, China
- School of Pharmacy, Key Laboratory of Molecular Pharmacology and Drug Evaluation, Ministry of Education, Collaborative Innovation Center of Advanced Drug Delivery System and Biotech Drugs in Universities of Shandong, Yantai University, Yantai, Shandong, China
| | - Zhihui Zhang
- Shandong Yinfeng Academy of Life Science, Jinan, Shandong, China
| | - Tian Wang
- School of Pharmacy, Key Laboratory of Molecular Pharmacology and Drug Evaluation, Ministry of Education, Collaborative Innovation Center of Advanced Drug Delivery System and Biotech Drugs in Universities of Shandong, Yantai University, Yantai, Shandong, China
| | - Guirong Zhang
- Shandong Yinfeng Academy of Life Science, Jinan, Shandong, China
- School of Pharmacy, Key Laboratory of Molecular Pharmacology and Drug Evaluation, Ministry of Education, Collaborative Innovation Center of Advanced Drug Delivery System and Biotech Drugs in Universities of Shandong, Yantai University, Yantai, Shandong, China
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Diaz‐Galvan P, Przybelski SA, Algeciras‐Schimnich A, Figdore DJ, Lesnick TG, Schwarz CG, Senjem ML, Gunter JL, Jack CR, Min PH, Jain MK, Miyagawa T, Forsberg LK, Fields JA, Savica R, Graff‐Radford J, Ramanan VK, Jones DT, Botha H, St Louis EK, Knopman DS, Graff‐Radford NR, Ferman TJ, Petersen RC, Lowe VJ, Boeve BF, Kantarci K. Plasma biomarkers of Alzheimer's disease in the continuum of dementia with Lewy bodies. Alzheimers Dement 2024; 20:2485-2496. [PMID: 38329197 PMCID: PMC11032523 DOI: 10.1002/alz.13653] [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: 10/05/2023] [Revised: 11/28/2023] [Accepted: 12/01/2023] [Indexed: 02/09/2024]
Abstract
INTRODUCTION Patients with dementia with Lewy bodies (DLB) may have Alzheimers disease (AD) pathology that can be detected by plasma biomarkers. Our objective was to evaluate plasma biomarkers of AD and their association with positron emission tomography (PET) biomarkers of amyloid and tau deposition in the continuum of DLB, starting from prodromal stages of the disease. METHODS The cohort included patients with isolated rapid eye movement (REM) sleep behavior disorder (iRBD), mild cognitive impairment with Lewy bodies (MCI-LB), or DLB, with a concurrent blood draw and PET scans. RESULTS Abnormal levels of plasma glial fibrillary acidic protein (GFAP) were found at the prodromal stage of MCI-LB in association with increased amyloid PET. Abnormal levels of plasma phosphorylated tau (p-tau)-181 and neurofilament light (NfL) were found at the DLB stage. Plasma p-tau-181 showed the highest accuracy in detecting abnormal amyloid and tau PET in patients with DLB. DISCUSSION The range of AD co-pathology can be detected with plasma biomarkers in the DLB continuum, particularly with plasma p-tau-181 and GFAP.
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Affiliation(s)
| | | | | | - Dan J. Figdore
- Department of Laboratory Medicine and PathologyMayo ClinicRochesterMinnesotaUSA
| | - Timothy G. Lesnick
- Department of Quantitative Health SciencesMayo ClinicRochesterMinnesotaUSA
| | | | | | | | | | - Paul H Min
- Department of RadiologyMayo ClinicRochesterMinnesotaUSA
| | - Manoj K. Jain
- Department of RadiologyMayo ClinicJacksonvilleFloridaUSA
| | - Toji Miyagawa
- Department of NeurologyMayo ClinicRochesterMinnesotaUSA
| | | | - Julie A. Fields
- Department of Psychiatry and PsychologyMayo ClinicRochesterMinnesotaUSA
| | | | | | | | | | - Hugo Botha
- Department of NeurologyMayo ClinicRochesterMinnesotaUSA
| | - Erik K. St Louis
- Mayo Center for Sleep MedicineMayo ClinicRochesterMinnesotaUSA
- Departments of Neurology and Clinical and Translational ResearchMayo Clinic Southwest WisconsinLa CrosseWisconsinUSA
| | | | | | - Tanis J. Ferman
- Department of Psychiatry & PsychologyMayo ClinicJacksonvilleFloridaUSA
| | - Ronald C. Petersen
- Department of Quantitative Health SciencesMayo ClinicRochesterMinnesotaUSA
- Department of NeurologyMayo ClinicRochesterMinnesotaUSA
| | - Val J. Lowe
- Department of RadiologyMayo ClinicRochesterMinnesotaUSA
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Nazir S. Salivary biomarkers: The early diagnosis of Alzheimer's disease. Aging Med (Milton) 2024; 7:202-213. [PMID: 38725701 PMCID: PMC11077336 DOI: 10.1002/agm2.12282] [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: 10/07/2023] [Revised: 10/25/2023] [Accepted: 12/19/2023] [Indexed: 05/12/2024] Open
Abstract
The precise identification of Alzheimer's disease and other prevalent neurodegenerative diseases remains a difficult issue that requires the development of early detection of the disease and inexpensive biomarkers that can replace the present cerebrospinal fluid and imaging biomarkers. Blood biomarkers, such as amyloid and neurofilament light, have been emphasized as an important and practical tool in a testing or examination procedure thanks to advancements in ultra-sensitive detection techniques. Although saliva is not currently being researched for neurodegenerative diseases, it is an important source of biomarkers that can be used for the identification of diseases and has some advantages over other biofluids. While this may be true for most people, getting saliva from elderly people presents some significant challenges. In this overview, we will first discuss how saliva is created and how aging-related illnesses may affect the amount and kind of saliva produced. The findings support the use of salivary amyloid protein, tau species, and novel biomarkers in the diagnosis of Alzheimer's disease.
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Affiliation(s)
- Sophia Nazir
- Wolfson Nanomaterials and Devices Laboratory, School of Computing, Electronics and MathematicsPlymouth UniversityDevonUK
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Shen H, Jiang Y, Qiu C, Xie X, Zhang H, He Z, Song Z, Zhou W. Abnormal amyloid precursor protein processing in periodontal tissue in a murine model of periodontitis induced by Porphyromonas gingivalis. J Periodontal Res 2024; 59:395-407. [PMID: 38311599 DOI: 10.1111/jre.13224] [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: 01/30/2023] [Revised: 11/27/2023] [Accepted: 12/05/2023] [Indexed: 02/06/2024]
Abstract
OBJECTIVE The study aimed to investigate the change of amyloid precursor protein (APP) processing and amyloid β (Aβ) metabolites in linking periodontitis to Alzheimer's disease (AD). BACKGROUND Aβ is one of the main pathological features of AD, and few studies have discussed changes in its expression in peripheral tissues or analyzed the relationship between the peripheral imbalance of Aβ production and clearance. METHODS A murine model of periodontitis was established by oral infection with Porphyromonas gingivalis (P. gingivalis). Micro-computed tomography (Micro-CT) was used to observe the destruction of the alveolar bone. Nested quantitative polymerase chain reaction (qPCR) was used to measure small quantities of P.gingivalis DNA in different tissues. Behavioral experiments were performed to measure cognitive function in the mice. The mRNA levels of TNF-α, IL-6, IL-8, RANKL, OPG, APP695, APP751, APP770, and BACE1 in the gingival tissues or cortex were detected by RT-PCR. The levels of Aβ1-40 and Aβ1-42 in gingival crevicular fluid (GCF) and plasma were tested by ELISA. RESULTS P. gingivalis oral infection was found to cause alveolar bone resorption and impaired learning and memory. P.gingivalis DNA was detected in the gingiva, blood and cortex of the P.gingivalis group by nested qPCR (p < .05). The mRNA expression of TNF-α, IL-6, IL-8, RANKL/OPG, and BACE1 in the gingival tissue was significantly higher than that in the control group (p < .05). Similarly, upregulated mRNA levels of APP695 and APP770 were observed in the gingival tissuses and cortex of the P. gingivalis group (p < .05). The levels of Aβ1-40 and Aβ1-42 in the GCF and plasma of the P. gingivalis group were significantly higher than those in the control group (p < .05). CONCLUSION P. gingivalis can directly invade the brain via hematogenous infection. The invasion of P. gingivalis could trigger an immune response and lead to an imbalance between Aβ production and clearance in peripheral tissues, which may trigger an abnormal Aβ metabolite in the brain, resulting in the occurrence and development of AD.
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Affiliation(s)
- Hui Shen
- Department of Periodontology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, College of Stomatology, Shanghai Jiao Tong University, Shanghai, China
- National Center for Stomatology, National Clinical Research Center for Oral Diseases, Shanghai Key Laboratory of Stomatology, Shanghai, China
| | - Yiting Jiang
- Department of Periodontology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, College of Stomatology, Shanghai Jiao Tong University, Shanghai, China
- National Center for Stomatology, National Clinical Research Center for Oral Diseases, Shanghai Key Laboratory of Stomatology, Shanghai, China
| | - Che Qiu
- Department of Periodontology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, College of Stomatology, Shanghai Jiao Tong University, Shanghai, China
- National Center for Stomatology, National Clinical Research Center for Oral Diseases, Shanghai Key Laboratory of Stomatology, Shanghai, China
| | - Xinyi Xie
- Department of Periodontology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, College of Stomatology, Shanghai Jiao Tong University, Shanghai, China
- National Center for Stomatology, National Clinical Research Center for Oral Diseases, Shanghai Key Laboratory of Stomatology, Shanghai, China
| | - Huanyu Zhang
- Department of Periodontology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, College of Stomatology, Shanghai Jiao Tong University, Shanghai, China
- National Center for Stomatology, National Clinical Research Center for Oral Diseases, Shanghai Key Laboratory of Stomatology, Shanghai, China
| | - Zhiyan He
- National Center for Stomatology, National Clinical Research Center for Oral Diseases, Shanghai Key Laboratory of Stomatology, Shanghai, China
- Laboratory of Oral Microbiota and Systemic Diseases, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, College of Stomatology, Shanghai Jiao Tong University, Shanghai, China
| | - Zhongchen Song
- Department of Periodontology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, College of Stomatology, Shanghai Jiao Tong University, Shanghai, China
- National Center for Stomatology, National Clinical Research Center for Oral Diseases, Shanghai Key Laboratory of Stomatology, Shanghai, China
| | - Wei Zhou
- National Center for Stomatology, National Clinical Research Center for Oral Diseases, Shanghai Key Laboratory of Stomatology, Shanghai, China
- Laboratory of Oral Microbiota and Systemic Diseases, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, College of Stomatology, Shanghai Jiao Tong University, Shanghai, China
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Rosano C, Karikari TK, Cvejkus R, Bellaver B, Ferreira PCL, Zmuda J, Wheeler V, Pascoal TA, Miljkovic I. Sex differences in Alzheimer's disease blood biomarkers in a Caribbean population of African ancestry: The Tobago Health Study. ALZHEIMER'S & DEMENTIA (NEW YORK, N. Y.) 2024; 10:e12460. [PMID: 38617114 PMCID: PMC11010267 DOI: 10.1002/trc2.12460] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Revised: 02/02/2024] [Accepted: 02/09/2024] [Indexed: 04/16/2024]
Abstract
INTRODUCTION Alzheimer's disease (AD) is increasing in the Caribbean, especially for persons of African ancestry (PAA) and women. However, studies have mostly utilized surveys without AD biomarkers. METHODS In the Tobago Health Study (n = 309; 109 women, mean age 70.3 ± 6.6), we assessed sex differences and risk factors for serum levels of phosphorylated tau-181 (p-tau181), amyloid-beta (Aβ)42/40 ratio, glial fibrillary acidic protein (GFAP), and neurofilament light chain (NfL). Blood samples were from 2010 to 2013 for men and from 2019 to 2023 for women. RESULTS Women were more obese, hypertensive, and sedentary but reported less smoking and alcohol use than men (age-adjusted p < 0.04). Compared to men, women had worse levels of AD biomarkers, with higher p-tau181 and lower Aβ42/40, independent of covariates (p < 0.001). In sex-stratified analyses, higher p-tau181 was associated with older age in women and with hypertension in men. GFAP and NfL did not differ by sex. DISCUSSION Women had worse AD biomarkers than men, unexplained by age, cardiometabolic diseases, or lifestyle. Studying risk factors for AD in PAA is warranted, especially for women earlier in life.
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Affiliation(s)
- Caterina Rosano
- Department of EpidemiologySchool of Public HealthUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Thomas K. Karikari
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologyThe Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
| | - Ryan Cvejkus
- Department of EpidemiologySchool of Public HealthUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Bruna Bellaver
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | | | - Joseph Zmuda
- Department of EpidemiologySchool of Public HealthUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Victor Wheeler
- Tobago Health Studies OfficeScarboroughTobagoTrinidad and Tobago
| | - Tharick A. Pascoal
- Department of NeurologySchool of MedicineUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Iva Miljkovic
- Department of EpidemiologySchool of Public HealthUniversity of PittsburghPittsburghPennsylvaniaUSA
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Schraen-Maschke S, Duhamel A, Vidal JS, Ramdane N, Vaudran L, Dussart C, Buée L, Sablonnière B, Delaby C, Allinquant B, Gabelle A, Bombois S, Lehmann S, Hanon O. The free plasma amyloid Aβ 1-42/Aβ 1-40 ratio predicts conversion to dementia for subjects with mild cognitive impairment with performance equivalent to that of the total plasma Aβ 1-42/Aβ 1-40 ratio. The BALTAZAR study. Neurobiol Dis 2024; 193:106459. [PMID: 38423192 DOI: 10.1016/j.nbd.2024.106459] [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: 04/25/2023] [Revised: 02/26/2024] [Accepted: 02/26/2024] [Indexed: 03/02/2024] Open
Abstract
BACKGROUND AND PURPOSE Blood-based biomarkers are a non-invasive solution to predict the risk of conversion of mild cognitive impairment (MCI) to dementia. The utility of free plasma amyloid peptides (not bound to plasma proteins and/or cells) as an early indicator of conversion to dementia is still debated, as the results of studies have been contradictory. In this context, we investigated whether plasma levels of the free amyloid peptides Aβ1-42 and Aβ1-40 and the free plasma Aβ1-42/Aβ1-40 ratio are associated with the conversion of MCI to dementia, in particular AD, over three years of follow-up in a subgroup of the BALTAZAR cohort. We also compared their predictive value to that of total plasma Aβ1-42 and Aβ1-40 levels and the total plasma Aβ1-42/Aβ1-40 ratio. METHODS The plasma Aβ1-42 and Aβ1-40 peptide assay was performed using the INNO-BIA kit (Fujirebio Europe). Free amyloid levels (defined by the amyloid fraction directly accessible to antibodies of the assay) were obtained with the undiluted plasma, whereas total amyloid levels were obtained after the dilution of plasma (1/3) with a denaturing buffer. Free and total Aβ1-42 and Aβ1-40 levels were measured at inclusion for a subgroup of participants (N = 106) with mild cognitive impairment (MCI) from the BALTAZAR study (a large-scale longitudinal multicenter cohort with a three-year follow-up). Associations between conversion and the free/total plasma Aβ1-42 and Aβ1-40 levels and Aβ1-42/Aβ1-40 ratio were analyzed using logistic and Cox Proportional Hazards models. Demographic, clinical, cognitive (MMSE, ADL and IADL), APOE, and MRI characteristics (relative hippocampal volume) were compared using non-parametric (Mann-Whitney) or parametric (Student) tests for quantitative variables and Chi-square or Fisher exact tests for qualitative variables. RESULTS The risk of conversion to dementia was lower for patients in the highest quartile of free plasma Aβ1-42/Aβ1-40 (≥ 25.8%) than those in the three lower quartiles: hazard ratio = 0.36 (95% confidence interval [0.15-0.87]), after adjustment for age, sex, education, and APOE ε4 (p-value = 0.022). This was comparable to the risk of conversion in the highest quartile of total plasma Aβ1-42/Aβ1-40: hazard ratio = 0.37 (95% confidence interval [0.16-0.89], p-value = 0.027). However, while patients in the highest quartile of total plasma Aβ1-42/Aβ1-40 showed higher MMSE scores and a higher hippocampal volume than patients in the three lowest quartiles of total plasma Aβ1-42/Aβ1-40, as well as normal CSF biomarker levels, the patients in the highest quartile of free plasma Aβ1-42/Aβ1-40 did not show any significant differences in MMSE scores, hippocampal volume, or CSF biomarker levels relative to the three lowest quartiles of free plasma Aβ1-42/Aβ1-40. CONCLUSION The free plasma Aβ1-42/Aβ1-40 ratio is associated with a risk of conversion from MCI to dementia within three years, with performance comparable to that of the total plasma Aβ1-42/Aβ1-40 ratio. Threshold levels of the free and total plasma Aβ1-42/Aβ1-40 ratio could be determined, with a 60% lower risk of conversion for patients above the threshold than those below.
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Affiliation(s)
- S Schraen-Maschke
- Univ. Lille, Inserm, CHU Lille, UMR-S1172, LiCEND, Lille Neuroscience & Cognition, LabEx DISTALZ, Lille, France.
| | - A Duhamel
- Univ. Lille, CHU Lille, ULR 2694-METRICS: Évaluation des Technologies de Santé et des Pratiques Médicales, Lille, France
| | - J S Vidal
- Université de Paris, EA 4468 and APHP, Hôpital Broca, Memory Resource and Research Centre of de Paris-Broca-Ile de France, Paris, France
| | - N Ramdane
- Univ. Lille, CHU Lille, ULR 2694-METRICS: Évaluation des Technologies de Santé et des Pratiques Médicales, Lille, France
| | - L Vaudran
- Univ. Lille, Inserm, CHU Lille, UMR-S1172, LiCEND, Lille Neuroscience & Cognition, LabEx DISTALZ, Lille, France
| | - C Dussart
- Univ. Lille, Inserm, CHU Lille, UMR-S1172, LiCEND, Lille Neuroscience & Cognition, LabEx DISTALZ, Lille, France
| | - L Buée
- Univ. Lille, Inserm, CHU Lille, UMR-S1172, LiCEND, Lille Neuroscience & Cognition, LabEx DISTALZ, Lille, France
| | - B Sablonnière
- Univ. Lille, Inserm, CHU Lille, UMR-S1172, LiCEND, Lille Neuroscience & Cognition, LabEx DISTALZ, Lille, France
| | - C Delaby
- LBPC-PPC, Université de Montpellier, INM INSERM, IRMB CHU de Montpellier, Montpellier, France
| | - B Allinquant
- UMR-S1266, Université Paris Cité, Institute of Psychiatry and Neurosciences, Inserm, Paris, France
| | - A Gabelle
- CMRR, Université de Montpellier, INM INSERM, CHU de Montpellier, Montpellier, France
| | - S Bombois
- Univ. Lille, Inserm, CHU Lille, UMR-S1172, LiCEND, Lille Neuroscience & Cognition, LabEx DISTALZ, Lille, France; Assistance Publique-Hôpitaux de Paris (AP-HP), Département de Neurologie, Centre des Maladies Cognitives et Comportementales, GH Pitié-Salpêtrière, Paris, France
| | - S Lehmann
- LBPC-PPC, Université de Montpellier, INM INSERM, IRMB CHU de Montpellier, Montpellier, France
| | - O Hanon
- Université de Paris, EA 4468 and APHP, Hôpital Broca, Memory Resource and Research Centre of de Paris-Broca-Ile de France, Paris, France.
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Lista S, Mapstone M, Caraci F, Emanuele E, López-Ortiz S, Martín-Hernández J, Triaca V, Imbimbo C, Gabelle A, Mielke MM, Nisticò R, Santos-Lozano A, Imbimbo BP. A critical appraisal of blood-based biomarkers for Alzheimer's disease. Ageing Res Rev 2024; 96:102290. [PMID: 38580173 DOI: 10.1016/j.arr.2024.102290] [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: 11/13/2023] [Revised: 03/18/2024] [Accepted: 03/31/2024] [Indexed: 04/07/2024]
Abstract
Biomarkers that predict the clinical onset of Alzheimer's disease (AD) enable the identification of individuals in the early, preclinical stages of the disease. Detecting AD at this point may allow for more effective therapeutic interventions and optimized enrollment for clinical trials of novel drugs. The current biological diagnosis of AD is based on the AT(N) classification system with the measurement of brain deposition of amyloid-β (Aβ) ("A"), tau pathology ("T"), and neurodegeneration ("N"). Diagnostic cut-offs for Aβ1-42, the Aβ1-42/Aβ1-40 ratio, tau and hyperphosphorylated-tau concentrations in cerebrospinal fluid have been defined and may support AD clinical diagnosis. Blood-based biomarkers of the AT(N) categories have been described in the AD continuum. Cross-sectional and longitudinal studies have shown that the combination of blood biomarkers tracking neuroaxonal injury (neurofilament light chain) and neuroinflammatory pathways (glial fibrillary acidic protein) enhance sensitivity and specificity of AD clinical diagnosis and improve the prediction of AD onset. However, no international accepted cut-offs have been identified for these blood biomarkers. A kit for blood Aβ1-42/Aβ1-40 is commercially available in the U.S.; however, it does not provide a diagnosis, but simply estimates the risk of developing AD. Although blood-based AD biomarkers have a great potential in the diagnostic work-up of AD, they are not ready for the routine clinical use.
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Affiliation(s)
- Simone Lista
- i+HeALTH Strategic Research Group, Department of Health Sciences, Miguel de Cervantes European University (UEMC), Valladolid 47012, Spain.
| | - Mark Mapstone
- Department of Neurology, Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, Irvine, CA 92697, USA.
| | - Filippo Caraci
- Department of Drug and Health Sciences, University of Catania, Catania 95125, Italy; Neuropharmacology and Translational Neurosciences Research Unit, Oasi Research Institute-IRCCS, Troina 94018, Italy.
| | | | - Susana López-Ortiz
- i+HeALTH Strategic Research Group, Department of Health Sciences, Miguel de Cervantes European University (UEMC), Valladolid 47012, Spain.
| | - Juan Martín-Hernández
- i+HeALTH Strategic Research Group, Department of Health Sciences, Miguel de Cervantes European University (UEMC), Valladolid 47012, Spain.
| | - Viviana Triaca
- Institute of Biochemistry and Cell Biology (IBBC), National Research Council (CNR), Rome 00015, Italy.
| | - Camillo Imbimbo
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia 27100, Italy.
| | - Audrey Gabelle
- Memory Resources and Research Center, Montpellier University of Excellence i-site, Montpellier 34295, France.
| | - Michelle M Mielke
- Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC 27101, USA.
| | - Robert Nisticò
- School of Pharmacy, University of Rome "Tor Vergata", Rome 00133, Italy; Laboratory of Pharmacology of Synaptic Plasticity, EBRI Rita Levi-Montalcini Foundation, Rome 00143, Italy.
| | - Alejandro Santos-Lozano
- i+HeALTH Strategic Research Group, Department of Health Sciences, Miguel de Cervantes European University (UEMC), Valladolid 47012, Spain; Physical Activity and Health Research Group (PaHerg), Research Institute of the Hospital 12 de Octubre ('imas12'), Madrid 28041, Spain.
| | - Bruno P Imbimbo
- Department of Research and Development, Chiesi Farmaceutici, Parma 43122, Italy.
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Jain SK, Stevens CM, Margret JJ, Levine SN. Alzheimer's Disease: A Review of Pathology, Current Treatments, and the Potential Therapeutic Effect of Decreasing Oxidative Stress by Combined Vitamin D and l-Cysteine Supplementation. Antioxid Redox Signal 2024; 40:663-678. [PMID: 37756366 PMCID: PMC11001507 DOI: 10.1089/ars.2023.0245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 08/26/2023] [Accepted: 08/27/2023] [Indexed: 09/29/2023]
Abstract
Significance: Excess oxidative stress and neuroinflammation are risk factors in the onset and progression of Alzheimer's disease (AD) and its association with amyloid-β plaque accumulation. Oxidative stress impairs acetylcholine (ACH) and N-methyl-d-aspartate receptor signaling in brain areas that function in memory and learning. Glutathione (GSH) antioxidant depletion positively correlates with the cognitive decline in AD subjects. Treatments that upregulate GSH and ACH levels, which simultaneously decrease oxidative stress and inflammation, may be beneficial for AD. Recent Advances: Some clinical trials have shown a benefit of monotherapy with vitamin D (VD), whose deficiency is linked to AD or with l-cysteine (LC), a precursor of GSH biosynthesis, in reducing mild cognitive impairment. Animal studies have shown a simultaneous decrease in ACH esterase (AChE) and increase in GSH; combined supplementation with VD and LC results in a greater decrease in oxidative stress and inflammation, and increase in GSH levels compared with monotherapy with VD or LC. Therefore, cosupplementation with VD and LC has the potential of increasing GSH, downregulation of oxidative stress, and decreased inflammation and AChE levels. Future Directions: Clinical trials are needed to determine whether safe low-cost dietary supplements, using combined VD+LC, have the potential to alleviate elevated AChE, oxidative stress, and inflammation levels, thereby halting the onset of AD. Goal of Review: The goal of this review is to highlight the pathological hallmarks and current Food and Drug Administration-approved treatments for AD, and discuss the potential therapeutic effect that cosupplementation with VD+LC could manifest by increasing GSH levels in patients. Antioxid. Redox Signal. 40, 663-678.
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Affiliation(s)
- Sushil K. Jain
- Department of Pediatrics and Medicine, Louisiana State University Health Sciences Center-Shreveport, Shreveport, Louisiana, USA
| | - Christopher M. Stevens
- Department of Pediatrics and Medicine, Louisiana State University Health Sciences Center-Shreveport, Shreveport, Louisiana, USA
| | - Jeffrey Justin Margret
- Department of Pediatrics and Medicine, Louisiana State University Health Sciences Center-Shreveport, Shreveport, Louisiana, USA
| | - Steven N. Levine
- Department of Pediatrics and Medicine, Louisiana State University Health Sciences Center-Shreveport, Shreveport, Louisiana, USA
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Abbatecola AM, Giuliani A, Biscetti L, Scisciola L, Battista P, Barbieri M, Sabbatinelli J, Olivieri F. Circulating biomarkers of inflammaging and Alzheimer's disease to track age-related trajectories of dementia: Can we develop a clinically relevant composite combination? Ageing Res Rev 2024; 96:102257. [PMID: 38437884 DOI: 10.1016/j.arr.2024.102257] [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: 11/08/2023] [Revised: 02/27/2024] [Accepted: 02/29/2024] [Indexed: 03/06/2024]
Abstract
Alzheimer's disease (AD) is a rapidly growing global concern due to a consistent rise of the prevalence of dementia which is mainly caused by the aging population worldwide. An early diagnosis of AD remains important as interventions are plausibly more effective when started at the earliest stages. Recent developments in clinical research have focused on the use of blood-based biomarkers for improve diagnosis/prognosis of neurodegenerative diseases, particularly AD. Unlike invasive cerebrospinal fluid tests, circulating biomarkers are less invasive and will become increasingly cheaper and simple to use in larger number of patients with mild symptoms or at risk of dementia. In addition to AD-specific markers, there is growing interest in biomarkers of inflammaging/neuro-inflammaging, an age-related chronic low-grade inflammatory condition increasingly recognized as one of the main risk factor for almost all age-related diseases, including AD. Several inflammatory markers have been associated with cognitive performance and AD development and progression. The presence of senescent cells, a key driver of inflammaging, has also been linked to AD pathogenesis, and senolytic therapy is emerging as a potential treatment strategy. Here, we describe blood-based biomarkers clinically relevant for AD diagnosis/prognosis and biomarkers of inflammaging associated with AD. Through a systematic review approach, we propose that a combination of circulating neurodegeneration and inflammatory biomarkers may contribute to improving early diagnosis and prognosis, as well as providing valuable insights into the trajectory of cognitive decline and dementia in the aging population.
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Affiliation(s)
- Angela Marie Abbatecola
- Alzheimer's Disease Day Clinic, Azienda Sanitaria Locale, Frosinone, Italy; Univesità degli Studi di Cassino e del Lazio Meridionale, Dipartimento di Scienze Umane, Sociali e della Salute, Cassino, Italy
| | - Angelica Giuliani
- Istituti Clinici Scientifici Maugeri IRCCS, Cardiac Rehabilitation Unit of Bari Institute, Italy.
| | | | - Lucia Scisciola
- Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Petronilla Battista
- Istituti Clinici Scientifici Maugeri IRCCS, Laboratory of Neuropsychology, Bari Institute, Italy
| | - Michelangela Barbieri
- Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Jacopo Sabbatinelli
- Department of Clinical and Molecular Sciences, DISCLIMO, Università Politecnica delle Marche, Ancona, Italy; Clinic of Laboratory and Precision Medicine, IRCCS INRCA, Ancona, Italy
| | - Fabiola Olivieri
- Department of Clinical and Molecular Sciences, DISCLIMO, Università Politecnica delle Marche, Ancona, Italy; Clinic of Laboratory and Precision Medicine, IRCCS INRCA, Ancona, Italy
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Coughlan C, Lindenberger J, Jacot JG, Johnson NR, Anton P, Bevers S, Welty R, Graner MW, Potter H. Specific Binding of Alzheimer's Aβ Peptides to Extracellular Vesicles. Int J Mol Sci 2024; 25:3703. [PMID: 38612514 PMCID: PMC11011551 DOI: 10.3390/ijms25073703] [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: 01/23/2024] [Revised: 03/14/2024] [Accepted: 03/19/2024] [Indexed: 04/14/2024] Open
Abstract
Alzheimer's disease (AD) is the fifth leading cause of death among adults aged 65 and older, yet the onset and progression of the disease is poorly understood. What is known is that the presence of amyloid, particularly polymerized Aβ42, defines when people are on the AD continuum. Interestingly, as AD progresses, less Aβ42 is detectable in the plasma, a phenomenon thought to result from Aβ becoming more aggregated in the brain and less Aβ42 and Aβ40 being transported from the brain to the plasma via the CSF. We propose that extracellular vesicles (EVs) play a role in this transport. EVs are found in bodily fluids such as blood, urine, and cerebrospinal fluid and carry diverse "cargos" of bioactive molecules (e.g., proteins, nucleic acids, lipids, metabolites) that dynamically reflect changes in the cells from which they are secreted. While Aβ42 and Aβ40 have been reported to be present in EVs, it is not known whether this interaction is specific for these peptides and thus whether amyloid-carrying EVs play a role in AD and/or serve as brain-specific biomarkers of the AD process. To determine if there is a specific interaction between Aβ and EVs, we used isothermal titration calorimetry (ITC) and discovered that Aβ42 and Aβ40 bind to EVs in a manner that is sequence specific, saturable, and endothermic. In addition, Aβ incubation with EVs overnight yielded larger amounts of bound Aβ peptide that was fibrillar in structure. These findings point to a specific amyloid-EV interaction, a potential role for EVs in the transport of amyloid from the brain to the blood, and a role for this amyloid pool in the AD process.
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Affiliation(s)
- Christina Coughlan
- University of Colorado Alzheimer’s and Cognition Center (CUACC), Linda Crnic Institute for Down Syndrome (LCI), Department of Neurology, University of Colorado Anschutz Medical Campus, 13001 E. 17th Pl, Aurora, CO 80045, USA (H.P.)
| | - Jared Lindenberger
- Structural Biology and Biophysics Core, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA (R.W.)
- Duke Human Vaccine Institute, Duke University, 2 Genome Ct., Durham, NC 27710, USA
| | - Jeffrey G. Jacot
- Department of Bioengineering, University of Colorado Anschutz Medical Campus, 13001 E. 17th Pl, Aurora, CO 80045, USA
| | - Noah R. Johnson
- University of Colorado Alzheimer’s and Cognition Center (CUACC), Linda Crnic Institute for Down Syndrome (LCI), Department of Neurology, University of Colorado Anschutz Medical Campus, 13001 E. 17th Pl, Aurora, CO 80045, USA (H.P.)
| | - Paige Anton
- University of Colorado Alzheimer’s and Cognition Center (CUACC), Linda Crnic Institute for Down Syndrome (LCI), Department of Neurology, University of Colorado Anschutz Medical Campus, 13001 E. 17th Pl, Aurora, CO 80045, USA (H.P.)
| | - Shaun Bevers
- Structural Biology and Biophysics Core, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA (R.W.)
| | - Robb Welty
- Structural Biology and Biophysics Core, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA (R.W.)
| | - Michael W. Graner
- Department of Neurosurgery, University of Colorado Anschutz Medical Campus, 13001 E. 17th Pl, Aurora, CO 80045, USA
| | - Huntington Potter
- University of Colorado Alzheimer’s and Cognition Center (CUACC), Linda Crnic Institute for Down Syndrome (LCI), Department of Neurology, University of Colorado Anschutz Medical Campus, 13001 E. 17th Pl, Aurora, CO 80045, USA (H.P.)
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Weber DM, Taylor SW, Lagier RJ, Kim JC, Goldman SM, Clarke NJ, Vaillancourt DE, Duara R, McFarland KN, Wang WE, Golde TE, Racke MK. Clinical utility of plasma Aβ42/40 ratio by LC-MS/MS in Alzheimer's disease assessment. Front Neurol 2024; 15:1364658. [PMID: 38595851 PMCID: PMC11003272 DOI: 10.3389/fneur.2024.1364658] [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: 01/02/2024] [Accepted: 03/08/2024] [Indexed: 04/11/2024] Open
Abstract
Introduction Plasma Aβ42/40 ratio can help predict amyloid PET status, but its clinical utility in Alzheimer's disease (AD) assessment is unclear. Methods Aβ42/40 ratio was measured by LC-MS/MS for 250 specimens with associated amyloid PET imaging, diagnosis, and demographic data, and for 6,192 consecutive clinical specimens submitted for Aβ42/40 testing. Results High diagnostic sensitivity and negative predictive value (NPV) for Aβ-PET positivity were observed, consistent with the clinical performance of other plasma LC-MS/MS assays, but with greater separation between Aβ42/40 values for individuals with positive vs. negative Aβ-PET results. Assuming a moderate prevalence of Aβ-PET positivity, a cutpoint was identified with 99% NPV, which could help predict that AD is likely not the cause of patients' cognitive impairment and help reduce PET evaluation by about 40%. Conclusion High-throughput plasma Aβ42/40 LC-MS/MS assays can help identify patients with low likelihood of AD pathology, which can reduce PET evaluations, allowing for cost savings.
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Affiliation(s)
- Darren M. Weber
- Quest Diagnostics Nichols Institute, San Juan Capistrano, CA, United States
| | - Steven W. Taylor
- Quest Diagnostics Nichols Institute, San Juan Capistrano, CA, United States
| | - Robert J. Lagier
- Quest Diagnostics Nichols Institute, San Juan Capistrano, CA, United States
| | - Jueun C. Kim
- Quest Diagnostics Nichols Institute, San Juan Capistrano, CA, United States
| | - Scott M. Goldman
- Quest Diagnostics Nichols Institute, San Juan Capistrano, CA, United States
| | - Nigel J. Clarke
- Quest Diagnostics Nichols Institute, San Juan Capistrano, CA, United States
| | - David E. Vaillancourt
- Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, United States
| | - Ranjan Duara
- Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, United States
- Wien Center for Alzheimer's Disease and Memory Disorders, Mount Sinai Medical Center, Miami Beach, FL, United States
| | - Karen N. McFarland
- Department of Neurology, Center for Translational Research in Neurodegenerative Disease, 1Florida Alzheimer’s Disease Research Center (ADRC), University of Florida, Gainesville, FL, United States
| | - Wei-en Wang
- Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, United States
| | - Todd E. Golde
- Department of Neurology, Center for Translational Research in Neurodegenerative Disease, 1Florida Alzheimer’s Disease Research Center (ADRC), University of Florida, Gainesville, FL, United States
- Department of Pharmacology and Chemical Biology, Department of Neurology, Emory Center for Neurodegenerative Disease, Emory University, Atlanta, GA, United States
| | - Michael K. Racke
- Quest Diagnostics Nichols Institute, San Juan Capistrano, CA, United States
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50
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Sewell KR, Rainey-Smith SR, Pedrini S, Peiffer JJ, Sohrabi HR, Taddei K, Markovic SJ, Martins RN, Brown BM. The impact of exercise on blood-based biomarkers of Alzheimer's disease in cognitively unimpaired older adults. GeroScience 2024:10.1007/s11357-024-01130-2. [PMID: 38488949 DOI: 10.1007/s11357-024-01130-2] [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: 01/11/2024] [Accepted: 03/08/2024] [Indexed: 03/17/2024] Open
Abstract
Physical activity is a promising preventative strategy for Alzheimer's disease: it is associated with lower dementia risk, better cognition, greater brain volume and lower brain beta-amyloid. Blood-based biomarkers have emerged as a low-cost, non-invasive strategy for detecting preclinical Alzheimer's disease, however, there is limited literature examining the effect of exercise (a structured form of physical activity) on blood-based biomarkers. The current study investigated the influence of a 6-month exercise intervention on levels of plasma beta-amyloid (Aβ42, Aβ40, Aβ42/40), phosphorylated tau (p-tau181), glial fibrillary acidic protein (GFAP) and neurofilament light (NfL) chain in cognitively unimpaired older adults, and as a secondary aim, whether blood-based biomarkers related to cognition. Ninety-nine community-dwelling older adults (69.1 ± 5.2) were allocated to an inactive control, or to moderate or high intensity exercise groups where they cycled twice weekly for six months. At baseline and six months (post-intervention), fasted blood was collected and analysed using single molecule array (SIMOA) assays, and cognition was assessed. Results demonstrated no change in levels of any plasma biomarker from pre- to post-intervention. At baseline, higher NfL was associated with poorer cognition (β = -0.33, SE = 0.13, adjusted p = .042). Exploratory analyses indicated higher cardiorespiratory fitness was associated with higher NfL and GFAP levels in apolipoprotein E (APOE) ε4 non-carriers compared to ε4 carriers (NfL, β = -0.43, SE = 0.19, p = .029; GFAP, β = -0.41, SE = 0.20, p = .044), though this association was mediated by body mass index (BMI). These results highlight the importance of considering BMI in analysis of blood-based biomarkers, especially when investigating differences between APOE ε4 carriers and non-carriers. Our results also indicate that longer follow-up periods may be required to observe exercise-induced change in blood-based biomarkers.
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Affiliation(s)
- Kelsey R Sewell
- Centre for Healthy Ageing, Health Futures Institute, Murdoch University, Murdoch, WA, Australia.
| | - Stephanie R Rainey-Smith
- Centre for Healthy Ageing, Health Futures Institute, Murdoch University, Murdoch, WA, Australia
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
- Alzheimer's Research Australia, Ralph and Patricia Sarich Neuroscience Research Institute, Nedlands, WA, Australia
- School of Psychological Science, University of Western Australia, Crawley, WA, Australia
| | - Steve Pedrini
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
- Alzheimer's Research Australia, Ralph and Patricia Sarich Neuroscience Research Institute, Nedlands, WA, Australia
| | - Jeremiah J Peiffer
- Centre for Healthy Ageing, Health Futures Institute, Murdoch University, Murdoch, WA, Australia
| | - Hamid R Sohrabi
- Centre for Healthy Ageing, Health Futures Institute, Murdoch University, Murdoch, WA, Australia
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
- Alzheimer's Research Australia, Ralph and Patricia Sarich Neuroscience Research Institute, Nedlands, WA, Australia
- Department of Biomedical Sciences, Macquarie University, North Ryde, New South Wales, Australia
| | - Kevin Taddei
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
- Alzheimer's Research Australia, Ralph and Patricia Sarich Neuroscience Research Institute, Nedlands, WA, Australia
| | - Shaun J Markovic
- Centre for Healthy Ageing, Health Futures Institute, Murdoch University, Murdoch, WA, Australia
- Alzheimer's Research Australia, Ralph and Patricia Sarich Neuroscience Research Institute, Nedlands, WA, Australia
| | - Ralph N Martins
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
- Alzheimer's Research Australia, Ralph and Patricia Sarich Neuroscience Research Institute, Nedlands, WA, Australia
- Department of Biomedical Sciences, Macquarie University, North Ryde, New South Wales, Australia
| | - Belinda M Brown
- Centre for Healthy Ageing, Health Futures Institute, Murdoch University, Murdoch, WA, Australia
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
- Alzheimer's Research Australia, Ralph and Patricia Sarich Neuroscience Research Institute, Nedlands, WA, Australia
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