1
|
Qu W, Zhang L, Liang X, Yu Z, Huang H, Zhao J, Guo Y, Zhou X, Xu S, Luo H, Luo X. Elevated Plasma Oligomeric Amyloid β-42 Is Associated with Cognitive Impairments in Cerebral Small Vessel Disease. BIOSENSORS 2023; 13:bios13010110. [PMID: 36671945 PMCID: PMC9855662 DOI: 10.3390/bios13010110] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 01/02/2023] [Accepted: 01/03/2023] [Indexed: 05/31/2023]
Abstract
Due to the heterogeneity of amyloid β-42 (Aβ42) species, the potential correlation between plasma oligomeric Aβ42 (oAβ42) and cognitive impairments in cerebral small vessel disease (CSVD) remains unclear. Herein, a sandwich ELISA for the specific detection of Aβ42 oligomers (oAβ42) and total Aβ42 (tAβ42) was developed based on sequence- and conformation-specific antibody pairs for the evaluation of plasma samples from a Chinese CSVD community cohort. After age and gender matching, 3-Tesla magnetic resonance imaging and multidimensional cognitive assessment were conducted in 134 CSVD patients and equal controls. The results showed that plasma tAβ42 and oAβ42 levels were significantly elevated in CSVD patients. By regression analysis, these elevations were correlated with the presence of CSVD and its imaging markers (i.e., white matter hyperintensities). Plasma Aβ42 tests further strengthened the predictive power of vascular risk factors for the presence of CSVD. Relative to tAβ42, oAβ42 showed a closer correlation with memory domains evaluated by neuropsychological tests. In conclusion, this sensitive ELISA protocol facilitated the detection of plasma Aβ42; Aβ42, especially its oligomeric form, can serve as a biosensor for the presence of CSVD and associated cognitive impairments represented by memory domains.
Collapse
Affiliation(s)
- Wensheng Qu
- Neurological Department, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
- Hubei Key Laboratory of Neural Injury and Functional Reconstruction, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Liding Zhang
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430070, China
- MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan 430070, China
| | - Xiaohan Liang
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430070, China
- MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan 430070, China
| | - Zhiyuan Yu
- Neurological Department, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
- Hubei Key Laboratory of Neural Injury and Functional Reconstruction, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Hao Huang
- Neurological Department, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
- Hubei Key Laboratory of Neural Injury and Functional Reconstruction, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Jing Zhao
- Neurological Department, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Yinping Guo
- Neurological Department, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Xirui Zhou
- Neurological Department, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Shabei Xu
- Neurological Department, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
- Hubei Key Laboratory of Neural Injury and Functional Reconstruction, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Haiming Luo
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430070, China
- MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan 430070, China
| | - Xiang Luo
- Neurological Department, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
- Hubei Key Laboratory of Neural Injury and Functional Reconstruction, Huazhong University of Science and Technology, Wuhan 430030, China
| |
Collapse
|
2
|
Liu Y, Zhang S, He B, Chen L, Ke D, Zhao S, Zhang Y, Wei W, Xu Z, Xu Z, Yin Y, Mo W, Li Y, Gao Y, Li S, Wang W, Yu H, Wu D, Pi G, Jiang T, Deng M, Xiong R, Lei H, Tian N, He T, Sun F, Zhou Q, Wang X, Ye J, Li M, Hu N, Song G, Peng W, Zheng C, Zhang H, Wang JZ. Periphery Biomarkers for Objective Diagnosis of Cognitive Decline in Type 2 Diabetes Patients. Front Cell Dev Biol 2021; 9:752753. [PMID: 34746146 PMCID: PMC8564071 DOI: 10.3389/fcell.2021.752753] [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: 08/03/2021] [Accepted: 09/23/2021] [Indexed: 12/03/2022] Open
Abstract
Introduction: Type 2 diabetes mellitus (T2DM) is an independent risk factor of Alzheimer’s disease (AD), and populations with mild cognitive impairment (MCI) have high incidence to suffer from AD. Therefore, discerning who may be more vulnerable to MCI, among the increasing T2DM populations, is important for early intervention and eventually decreasing the prevalence rate of AD. This study was to explore whether the change of plasma β-amyloid (Aβ) could be a biomarker to distinguish MCI (T2DM-MCI) from non-MCI (T2DM-nMCI) in T2DM patients. Methods: Eight hundred fifty-two T2DM patients collected from five medical centers were assigned randomly to training and validation cohorts. Plasma Aβ, platelet glycogen synthase kinase-3β (GSK-3β), apolipoprotein E (ApoE) genotypes, and olfactory and cognitive functions were measured by ELISA, dot blot, RT-PCR, Connecticut Chemosensory Clinical Research Center (CCCRC) olfactory test based on the diluted butanol, and Minimum Mental State Examination (MMSE) test, respectively, and multivariate logistic regression analyses were applied. Results: Elevation of plasma Aβ1-42/Aβ1-40 is an independent risk factor of MCI in T2DM patients. Although using Aβ1-42/Aβ1-40 alone only reached an AUC of 0.631 for MCI diagnosis, addition of the elevated Aβ1-42/Aβ1-40 to our previous model (i.e., activated platelet GSK-3β, ApoE ε4 genotype, olfactory decline, and aging) significantly increased the discriminating efficiency of T2DM-MCI from T2DM-nMCI, with an AUC of 0.846 (95% CI: 0.794–0.897) to 0.869 (95% CI: 0.822–0.916) in the training cohort and an AUC of 0.848 (95% CI: 0.815–0.882) to 0.867 (95% CI: 0.835–0.899) in the validation cohort, respectively. Conclusion: A combination of the elevated plasma Aβ1-42/Aβ1-40 with activated platelet GSK-3β, ApoE ε4 genotype, olfactory decline, and aging could efficiently diagnose MCI in T2DM patients. Further longitudinal studies may consummate the model for early prediction of AD.
Collapse
Affiliation(s)
- Yanchao Liu
- Ministry of Education Key Laboratory for Neurological Disorders, Hubei Key Laboratory for Neurological Disorders, Department of Pathophysiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Department of Neurosurgery, Tongji Medical College, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - Shujuan Zhang
- Ministry of Education Key Laboratory for Neurological Disorders, Hubei Key Laboratory for Neurological Disorders, Department of Pathophysiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Benrong He
- Ministry of Education Key Laboratory for Neurological Disorders, Hubei Key Laboratory for Neurological Disorders, Department of Pathophysiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Liangkai Chen
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Dan Ke
- Ministry of Education Key Laboratory for Neurological Disorders, Hubei Key Laboratory for Neurological Disorders, Department of Pathophysiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shi Zhao
- Department of Endocrinology, Central Hospital of Wuhan, Wuhan, China
| | - Yao Zhang
- Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wei Wei
- Department of Endocrinology, Central Hospital of Wuhan, Wuhan, China
| | - Zhipeng Xu
- Department of Neurology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Zihui Xu
- Department of Endocrinology, Central Hospital of Wuhan, Wuhan, China
| | - Ying Yin
- Ministry of Education Key Laboratory for Neurological Disorders, Hubei Key Laboratory for Neurological Disorders, Department of Pathophysiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wen Mo
- Health Service Center of Jianghan District, Wuhan, China
| | - Yanni Li
- Health Service Center of Jianghan District, Wuhan, China
| | - Yang Gao
- Ministry of Education Key Laboratory for Neurological Disorders, Hubei Key Laboratory for Neurological Disorders, Department of Pathophysiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shihong Li
- Ministry of Education Key Laboratory for Neurological Disorders, Hubei Key Laboratory for Neurological Disorders, Department of Pathophysiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Weijin Wang
- Ministry of Education Key Laboratory for Neurological Disorders, Hubei Key Laboratory for Neurological Disorders, Department of Pathophysiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Huiling Yu
- Ministry of Education Key Laboratory for Neurological Disorders, Hubei Key Laboratory for Neurological Disorders, Department of Pathophysiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Dongqin Wu
- Ministry of Education Key Laboratory for Neurological Disorders, Hubei Key Laboratory for Neurological Disorders, Department of Pathophysiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Guilin Pi
- Ministry of Education Key Laboratory for Neurological Disorders, Hubei Key Laboratory for Neurological Disorders, Department of Pathophysiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Tao Jiang
- Ministry of Education Key Laboratory for Neurological Disorders, Hubei Key Laboratory for Neurological Disorders, Department of Pathophysiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Mingmin Deng
- Ministry of Education Key Laboratory for Neurological Disorders, Hubei Key Laboratory for Neurological Disorders, Department of Pathophysiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Rui Xiong
- Ministry of Education Key Laboratory for Neurological Disorders, Hubei Key Laboratory for Neurological Disorders, Department of Pathophysiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Huiyang Lei
- Ministry of Education Key Laboratory for Neurological Disorders, Hubei Key Laboratory for Neurological Disorders, Department of Pathophysiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Na Tian
- Ministry of Education Key Laboratory for Neurological Disorders, Hubei Key Laboratory for Neurological Disorders, Department of Pathophysiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ting He
- Ministry of Education Key Laboratory for Neurological Disorders, Hubei Key Laboratory for Neurological Disorders, Department of Pathophysiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Fei Sun
- Ministry of Education Key Laboratory for Neurological Disorders, Hubei Key Laboratory for Neurological Disorders, Department of Pathophysiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qiuzhi Zhou
- Ministry of Education Key Laboratory for Neurological Disorders, Hubei Key Laboratory for Neurological Disorders, Department of Pathophysiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xin Wang
- Ministry of Education Key Laboratory for Neurological Disorders, Hubei Key Laboratory for Neurological Disorders, Department of Pathophysiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jinwang Ye
- Ministry of Education Key Laboratory for Neurological Disorders, Hubei Key Laboratory for Neurological Disorders, Department of Pathophysiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Mengzhu Li
- Ministry of Education Key Laboratory for Neurological Disorders, Hubei Key Laboratory for Neurological Disorders, Department of Pathophysiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Nan Hu
- Ministry of Education Key Laboratory for Neurological Disorders, Hubei Key Laboratory for Neurological Disorders, Department of Pathophysiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Guoda Song
- Ministry of Education Key Laboratory for Neurological Disorders, Hubei Key Laboratory for Neurological Disorders, Department of Pathophysiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wenju Peng
- Ministry of Education Key Laboratory for Neurological Disorders, Hubei Key Laboratory for Neurological Disorders, Department of Pathophysiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Chenghong Zheng
- Department of Endocrinology, Wuhan Hospital of Traditional Chinese Medicine, Wuhan, China
| | - Huaqiu Zhang
- Department of Neurosurgery, Tongji Medical College, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - Jian-Zhi Wang
- Ministry of Education Key Laboratory for Neurological Disorders, Hubei Key Laboratory for Neurological Disorders, Department of Pathophysiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Co-innovation Center of Neuroregeneration, Nantong University, Nantong, China
| |
Collapse
|
3
|
Park S, Kim Y. Bias-generating factors in biofluid amyloid-β measurements for Alzheimer's disease diagnosis. Biomed Eng Lett 2021; 11:287-295. [PMID: 34616582 DOI: 10.1007/s13534-021-00201-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Revised: 08/05/2021] [Accepted: 08/08/2021] [Indexed: 01/03/2023] Open
Abstract
Alzheimer's disease (AD) is the most prevalent cause of dementia worldwide, yet the dearth of readily accessible diagnostic biomarkers is a substantial hindrance towards progressing to effective preventive and therapeutic approaches. Due to a long delay between cerebral amyloid-β (Aβ) accumulation and the onset of cognitive impairments, biomarkers that reflect Aβ pathology and enable routine screening for disease progression are of urgent need for application in the clinical diagnosis of AD. According to accumulating evidences, cerebrospinal fluid (CSF) and plasma offer windows to the brain as they allow monitoring of biochemical changes in the brain. Considering the high availability and accuracy in depicting Aβ deposition in the brain, Aβ levels in CSF and plasma are regarded as promising fluid biomarkers for the diagnosis of AD patients at an early stage. However, clinical data with intra- and interindividual variations in the concentrations of CSF and plasma Aβ implicate the need to reevaluate current Aβ detection methods and establish a standardized operating procedure. Therefore, this review introduces three bias-generating factors in biofluid Aβ measurement that may hamper the accurate Aβ quantification and how such complications can be overcome for the widespread implementation of fluid Aβ detection in clinical practice.
Collapse
Affiliation(s)
- Sohui Park
- Department of Pharmacy, Department of Integrative Biotechnology and Translational Medicine, and Yonsei Institute of Pharmaceutical Sciences, College of Pharmacy, Yonsei University, Incheon, 21983 Republic of Korea
| | - YoungSoo Kim
- Department of Pharmacy, Department of Integrative Biotechnology and Translational Medicine, and Yonsei Institute of Pharmaceutical Sciences, College of Pharmacy, Yonsei University, Incheon, 21983 Republic of Korea
| |
Collapse
|
4
|
Alawode DOT, Heslegrave AJ, Ashton NJ, Karikari TK, Simrén J, Montoliu‐Gaya L, Pannee J, O´Connor A, Weston PSJ, Lantero‐Rodriguez J, Keshavan A, Snellman A, Gobom J, Paterson RW, Schott JM, Blennow K, Fox NC, Zetterberg H. Transitioning from cerebrospinal fluid to blood tests to facilitate diagnosis and disease monitoring in Alzheimer's disease. J Intern Med 2021; 290:583-601. [PMID: 34021943 PMCID: PMC8416781 DOI: 10.1111/joim.13332] [Citation(s) in RCA: 49] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2021] [Revised: 03/18/2021] [Accepted: 03/30/2021] [Indexed: 12/11/2022]
Abstract
Alzheimer's disease (AD) is increasingly prevalent worldwide, and disease-modifying treatments may soon be at hand; hence, now, more than ever, there is a need to develop techniques that allow earlier and more secure diagnosis. Current biomarker-based guidelines for AD diagnosis, which have replaced the historical symptom-based guidelines, rely heavily on neuroimaging and cerebrospinal fluid (CSF) sampling. While these have greatly improved the diagnostic accuracy of AD pathophysiology, they are less practical for application in primary care, population-based and epidemiological settings, or where resources are limited. In contrast, blood is a more accessible and cost-effective source of biomarkers in AD. In this review paper, using the recently proposed amyloid, tau and neurodegeneration [AT(N)] criteria as a framework towards a biological definition of AD, we discuss recent advances in biofluid-based biomarkers, with a particular emphasis on those with potential to be translated into blood-based biomarkers. We provide an overview of the research conducted both in CSF and in blood to draw conclusions on biomarkers that show promise. Given the evidence collated in this review, plasma neurofilament light chain (N) and phosphorylated tau (p-tau; T) show particular potential for translation into clinical practice. However, p-tau requires more comparisons to be conducted between its various epitopes before conclusions can be made as to which one most robustly differentiates AD from non-AD dementias. Plasma amyloid beta (A) would prove invaluable as an early screening modality, but it requires very precise tests and robust pre-analytical protocols.
Collapse
Affiliation(s)
- D. O. T. Alawode
- From theDepartment of Neurodegenerative DiseaseUCL Queen Square Institute of NeurologyLondonUK
- UK Dementia Research Institute at UCLLondonUK
| | - A. J. Heslegrave
- From theDepartment of Neurodegenerative DiseaseUCL Queen Square Institute of NeurologyLondonUK
- UK Dementia Research Institute at UCLLondonUK
| | - N. J. Ashton
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologyThe Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Wallenberg Centre for Molecular and Translational MedicineDepartment of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologyThe Sahlgrenska Academy at the University of GothenburgGothenburgSweden
- Department of Old Age PsychiatryInstitute of Psychiatry, Psychology & NeuroscienceKing’s College LondonLondonUK
- NIHR Biomedical Research Centre for Mental Health & Biomedical Research Unit for Dementia at South London & Maudsley NHS FoundationLondonUK
| | - T. K. Karikari
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologyThe Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
| | - J. Simrén
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologyThe Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalMölndalSweden
| | - L. Montoliu‐Gaya
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologyThe Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
| | - J. Pannee
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologyThe Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalMölndalSweden
| | - A. O´Connor
- UK Dementia Research Institute at UCLLondonUK
- Dementia Research CentreDepartment of Neurodegenerative DiseaseUCL Queen Square Institute of NeurologyLondonUK
| | - P. S. J. Weston
- Dementia Research CentreDepartment of Neurodegenerative DiseaseUCL Queen Square Institute of NeurologyLondonUK
| | - J. Lantero‐Rodriguez
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologyThe Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
| | - A. Keshavan
- Dementia Research CentreDepartment of Neurodegenerative DiseaseUCL Queen Square Institute of NeurologyLondonUK
| | - A. Snellman
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologyThe Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Turku PET CentreUniversity of TurkuTurkuFinland
| | - J. Gobom
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologyThe Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalMölndalSweden
| | - R. W. Paterson
- Dementia Research CentreDepartment of Neurodegenerative DiseaseUCL Queen Square Institute of NeurologyLondonUK
| | - J. M. Schott
- Dementia Research CentreDepartment of Neurodegenerative DiseaseUCL Queen Square Institute of NeurologyLondonUK
| | - K. Blennow
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologyThe Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalMölndalSweden
| | - N. C. Fox
- UK Dementia Research Institute at UCLLondonUK
- Dementia Research CentreDepartment of Neurodegenerative DiseaseUCL Queen Square Institute of NeurologyLondonUK
| | - H. Zetterberg
- From theDepartment of Neurodegenerative DiseaseUCL Queen Square Institute of NeurologyLondonUK
- UK Dementia Research Institute at UCLLondonUK
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologyThe Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalMölndalSweden
| |
Collapse
|
5
|
Advantages and Pitfalls in Fluid Biomarkers for Diagnosis of Alzheimer's Disease. J Pers Med 2020; 10:jpm10030063. [PMID: 32708853 PMCID: PMC7563364 DOI: 10.3390/jpm10030063] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Revised: 07/04/2020] [Accepted: 07/06/2020] [Indexed: 01/08/2023] Open
Abstract
Alzheimer’s disease (AD) is a commonly occurring neurodegenerative disease in the advanced-age population, with a doubling of prevalence for each 5 years of age above 60 years. In the past two decades, there has been a sustained effort to find suitable biomarkers that may not only aide with the diagnosis of AD early in the disease process but also predict the onset of the disease in asymptomatic individuals. Current diagnostic evidence is supportive of some biomarker candidates isolated from cerebrospinal fluid (CSF), including amyloid beta peptide (Aβ), total tau (t-tau), and phosphorylated tau (p-tau) as being involved in the pathophysiology of AD. However, there are a few biomarkers that have been shown to be helpful, such as proteomic, inflammatory, oral, ocular and olfactory in the early detection of AD, especially in the individuals with mild cognitive impairment (MCI). To date, biomarkers are collected through invasive techniques, especially CSF from lumbar puncture; however, non-invasive (radio imaging) methods are used in practice to diagnose AD. In order to reduce invasive testing on the patients, present literature has highlighted the potential importance of biomarkers in blood to assist with diagnosing AD.
Collapse
|
6
|
Plasma Aβ42 and Total Tau Predict Cognitive Decline in Amnestic Mild Cognitive Impairment. Sci Rep 2019; 9:13984. [PMID: 31562355 PMCID: PMC6764975 DOI: 10.1038/s41598-019-50315-9] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2019] [Accepted: 09/04/2019] [Indexed: 01/21/2023] Open
Abstract
Levels of amyloid-β (Aβ) and tau peptides in brain have been associated with Alzheimer disease (AD). The current study investigated the abilities of plasma Aβ42 and total-tau (t-tau) levels in predicting cognitive decline in subjects with amnestic mild cognitive impairment (MCI). Plasma Aβ42 and t-tau levels were quantified in 22 participants with amnestic MCI through immunomagnetic reduction (IMR) assay at baseline. The cognitive performance of participants was measured through neuropsychological tests at baseline and annual follow-up (average follow-up period of 1.5 years). The predictive value of plasma Aβ42 and t-tau for cognitive status was evaluated. We found that higher levels of Aβ42 and t-tau are associated with lower episodic verbal memory performance at baseline and cognitive decline over the course of follow-up. While Aβ42 or t-tau alone had moderate-to-high discriminatory value in the identification of future cognitive decline, the product of Aβ42 and t-tau offered greater differential value. These preliminary results might suggest that high levels of plasma Aβ42 and t-tau in amnestic MCI are associated with later cognitive decline. A further replication with a larger sample over a longer time period to validate and determine their long-term predictive value is warranted.
Collapse
|
7
|
Diagnosis of Alzheimer's disease utilizing amyloid and tau as fluid biomarkers. Exp Mol Med 2019; 51:1-10. [PMID: 31073121 PMCID: PMC6509326 DOI: 10.1038/s12276-019-0250-2] [Citation(s) in RCA: 121] [Impact Index Per Article: 24.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2018] [Accepted: 12/26/2018] [Indexed: 01/01/2023] Open
Abstract
Current technological advancements in clinical and research settings have permitted a more intensive and comprehensive understanding of Alzheimer’s disease (AD). This development in knowledge regarding AD pathogenesis has been implemented to produce disease-modifying drugs. The potential for accessible and effective therapeutic methods has generated a need for detecting this neurodegenerative disorder during early stages of progression because such remedial effects are more profound when implemented during the initial, prolonged prodromal stages of pathogenesis. The aggregation of amyloid-β (Aβ) and tau isoforms are characteristic of AD; thus, they are considered core candidate biomarkers. However, research attempting to establish the reliability of Aβ and tau as biomarkers has culminated in an amalgamation of contradictory results and theories regarding the biomarker concentrations necessary for an accurate diagnosis. In this review, we consider the capabilities and limitations of fluid biomarkers collected from cerebrospinal fluid, blood, and oral, ocular, and olfactory secretions as diagnostic tools for AD, along with the impact of the integration of these biomarkers in clinical settings. Furthermore, the evolution of diagnostic criteria and novel research findings are discussed. This review is a summary and reflection of the ongoing concerted efforts to establish fluid biomarkers as a diagnostic tool and implement them in diagnostic procedures. Markers from body fluids could help clinicians diagnose Alzheimer’s disease before cognitive decline appears. After numerous setbacks in treating advanced Alzheimer’s, researchers are eager to identify biological indicators that facilitate earlier disease detection and interception. A review by YoungSoo Kim and colleagues at Yonsei University in South Korea, explores the promise of ‘fluid biomarkers,’ which enables diagnosis using cerebrospinal fluid (CSF), blood, oral, ocular, and olfactory fluid samples. Shifts in CSF levels of amyloid beta and tau, two proteins central to Alzheimer’s pathology, can reliably monitor at-risk individuals. Although CSF collection is unpleasant for patients, it remains more promising than blood, where current data for candidate fluid biomarkers are relatively inconclusive. In this review, investigations to discover safer, cheaper, and more reliable diagnostic tools to shift treatment from alleviation to prevention are introduced.
Collapse
|
8
|
Hilal S, Wolters FJ, Verbeek MM, Vanderstichele H, Ikram MK, Stoops E, Ikram MA, Vernooij MW. Plasma amyloid-β levels, cerebral atrophy and risk of dementia: a population-based study. ALZHEIMERS RESEARCH & THERAPY 2018; 10:63. [PMID: 29960604 PMCID: PMC6026500 DOI: 10.1186/s13195-018-0395-6] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 03/14/2018] [Accepted: 05/30/2018] [Indexed: 12/15/2022]
Abstract
Background Plasma amyloid-β (Aβ) levels are increasingly studied as a potential accessible marker of cognitive impairment and dementia. However, it remains underexplored whether plasma Aβ levels including the novel Aβ peptide 1–38 (Aβ1–38) relate to preclinical markers of neurodegeneration and risk of dementia. We investigated the association of plasma Aβ1–38, Aβ1–40, and Aβ1–42 levels with imaging markers of neurodegeneration and risk of dementia in a prospective population-based study. Methods We analyzed plasma Aβ levels in 458 individuals from the Rotterdam Study. Brain volumes, including gray matter, white matter, and hippocampus, were computed on the basis of 1.5-T magnetic resonance imaging (MRI). Dementia and its subtypes were defined on the basis of internationally accepted criteria. Results A total of 458 individuals (mean age, 67.8 ± 7.7 yr; 232 [50.7%] women) with baseline MRI scans and incident dementia were included. The mean ± SD values of Aβ1–38, Aβ1–40, and Aβ1–42 (in pg/ml) were 19.4 ± 4.3, 186.1 ± 35.9, and 56.3 ± 6.2, respectively, at baseline. Lower plasma Aβ1–42 levels were associated with smaller hippocampal volume (mean difference in hippocampal volume per SD decrease in Aβ1–42 levels, − 0.13; 95% CI, − 0.23 to − 0.04; p = 0.007). After a mean follow-up of 14.8 years (SD, 4.9; range, 4.1–23.5 yr), 79 persons developed dementia, 64 of whom were diagnosed with Alzheimer’s disease (AD). Lower levels of Aβ1–38 and Aβ1–42 were associated with increased risk of dementia, specifically AD (HR for AD per SD decrease in Aβ1–38 levels, 1.39; 95% CI, 1.00–2.16; HR for AD per SD decrease in Aβ1–42 levels, 1.35; 95% CI, 1.05–1.75) after adjustment for age, sex, education, cardiovascular risk factors, apolipoprotein E ε4 allele carrier status, and other Aβ isoforms. Conclusions Our results show that lower plasma Aβ levels were associated with risk of dementia and incident AD. Moreover, lower plasma Aβ1–42 levels were related to smaller hippocampal volume. These results suggest that plasma Aβ1–38 and Aβ1–42 maybe useful biomarkers for identification of individuals at risk of dementia.
Collapse
Affiliation(s)
- Saima Hilal
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, Office no. 2505, Wytemaweg 80, 3015, CN, Rotterdam, The Netherlands.,Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Frank J Wolters
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Marcel M Verbeek
- Department of Neurology and Laboratory Medicine, Donders Institute for Brain, Cognition and Behavior, Radboud Alzheimer Centre, Radboud University Medical Center, Nijmegen, The Netherlands
| | | | - M Kamran Ikram
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands.,Department of Neurology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | | | - M Arfan Ikram
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, Office no. 2505, Wytemaweg 80, 3015, CN, Rotterdam, The Netherlands.,Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Meike W Vernooij
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, Office no. 2505, Wytemaweg 80, 3015, CN, Rotterdam, The Netherlands. .,Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands.
| |
Collapse
|
9
|
Sternberg Z, Hu Z, Sternberg D, Waseh S, Quinn JF, Wild K, Jeffrey K, Zhao L, Garrick M. Serum Hepcidin Levels, Iron Dyshomeostasis and Cognitive Loss in Alzheimer's Disease. Aging Dis 2017; 8:215-227. [PMID: 28400987 PMCID: PMC5362180 DOI: 10.14336/ad.2016.0811] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2016] [Accepted: 08/11/2016] [Indexed: 01/06/2023] Open
Abstract
This pilot study examined the status of the master iron regulatory peptide, hepcidin, and peripheral related iron parameters in Alzheimer's disease (AD) and mild cognitive impairment patients, and evaluated the relationship between iron dyshomeostasis and amyloid-beta (Aβ), cognitive assessment tests, neuroimaging and clinical data. Frozen serum samples from the Oregon Tissue Bank were used to measure serum levels of hepcidin, ferritin, Aβ40, Aβ42 using enzyme-linked immunosorbent assay. Serum transferrin levels were determined indirectly as total iron binding capacity, serum iron was measured and the percent saturation of transferrin calculated. The study variables were correlated with the patients' existing cognitive assessment tests, neuroimaging, and clinical data. Hepcidin, and iron-related proteins tended to be higher in AD patients than controls, reaching statistical significance for ferritin, whereas Aβ40, Aβ42 serum levels tended to be lower. Patients with pure AD had three times higher serum hepcidin levels than controls; gender differences in hepcidin and iron-related proteins were observed. Patient stratification based on clinical dementia rating-sum of boxes revealed significantly higher levels of iron and iron-related proteins in AD patients in the upper 50% as compared to controls, suggesting that iron dyshomeostasis worsens as cognitive impairment increases. Unlike Aβ peptides, iron and iron-related proteins showed significant association with cognitive assessment tests, neuroimaging, and clinical data. Hepcidin and iron-related proteins comprise a group of serum biomarkers that relate to AD diagnosis and AD disease progression. Future studies should determine whether strategies targeted to diminishing hepcidin synthesis/secretion and improving iron homeostasis could have a beneficial impact on AD progression.
Collapse
Affiliation(s)
- Zohara Sternberg
- Department of Neurology, Stroke Center, Buffalo Medical Center, Buffalo, NY, USA.
| | - Zihua Hu
- Center for Computational Research, New York State Center for Excellence in Bioinformatics and Life Sciences, University at Buffalo, Buffalo, NY, USA.
| | - Daniel Sternberg
- Department of Neurology, Stroke Center, Buffalo Medical Center, Buffalo, NY, USA.
| | - Shayan Waseh
- Department of Biology, State University of New York at Buffalo, Buffalo, NY 14260 USA.
| | - Joseph F. Quinn
- Layton Aging & Alzheimer's Research Center, Oregon Health and Science University, Portland, Oregon, USA.
| | - Katharine Wild
- Layton Aging & Alzheimer's Research Center, Oregon Health and Science University, Portland, Oregon, USA.
| | - Kaye Jeffrey
- Layton Aging & Alzheimer's Research Center, Oregon Health and Science University, Portland, Oregon, USA.
| | - Lin Zhao
- Department of Biochemistry, State University of New York at Buffalo, Buffalo, NY 14214 USA.
| | - Michael Garrick
- Department of Biochemistry, State University of New York at Buffalo, Buffalo, NY 14214 USA.
- Department of Pediatrics, State University of New York at Buffalo, Buffalo, NY 14214 USA.
| |
Collapse
|
10
|
Counts SE, Ikonomovic MD, Mercado N, Vega IE, Mufson EJ. Biomarkers for the Early Detection and Progression of Alzheimer's Disease. Neurotherapeutics 2017; 14:35-53. [PMID: 27738903 PMCID: PMC5233625 DOI: 10.1007/s13311-016-0481-z] [Citation(s) in RCA: 99] [Impact Index Per Article: 14.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
The recent failures of potential disease-modifying drugs for Alzheimer's disease (AD) may reflect the fact that the enrolled participants in clinical trials are already too advanced to derive a clinical benefit. Thus, well-validated biomarkers for the early detection and accurate diagnosis of the preclinical stages of AD will be crucial for therapeutic advancement. The combinatorial use of biomarkers derived from biological fluids, such as cerebrospinal fluid (CSF), with advanced molecular imaging and neuropsychological testing may eventually achieve the diagnostic sensitivity and specificity necessary to identify people in the earliest stages of the disease when drug modification is most likely possible. In this regard, positive amyloid or tau tracer retention on positron emission tomography imaging, low CSF concentrations of the amyloid-β 1-42 peptide, high CSF concentrations in total tau and phospho-tau, mesial temporal lobe atrophy on magnetic resonance imaging, and temporoparietal/precuneus hypometabolism or hypoperfusion on 18F-fluorodeoxyglucose positron emission tomography have all emerged as biomarkers for the progression to AD. However, the ultimate AD biomarker panel will likely involve the inclusion of novel CSF and blood biomarkers more precisely associated with confirmed pathophysiologic mechanisms to improve its reliability for detecting preclinical AD. This review highlights advancements in biological fluid and imaging biomarkers that are moving the field towards achieving the goal of a preclinical detection of AD.
Collapse
Affiliation(s)
- Scott E Counts
- Department of Translational Science and Molecular Medicine, Michigan State University, Grand Rapids, MI, USA
- Department of Family Medicine, Michigan State University, Grand Rapids, MI, USA
- Hauenstein Neuroscience Center, Mercy Health Saint Mary's Hospital, Grand Rapids, MI, USA
| | - Milos D Ikonomovic
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
- Geriatric Research Education and Clinical Center, VA Pittsburgh Healthcare System, Pittsburgh, PA, USA
| | - Natosha Mercado
- Department of Translational Science and Molecular Medicine, Michigan State University, Grand Rapids, MI, USA
| | - Irving E Vega
- Department of Translational Science and Molecular Medicine, Michigan State University, Grand Rapids, MI, USA
| | - Elliott J Mufson
- Department of Neurobiology and Neurology, Barrow Neurological Institute, Phoenix, AZ, USA.
| |
Collapse
|
11
|
Gronewold J, Todica O, Klafki HW, Seidel UK, Kaltwasser B, Wiltfang J, Kribben A, Bruck H, Hermann DM. Association of Plasma β-Amyloid with Cognitive Performance and Decline in Chronic Kidney Disease. Mol Neurobiol 2016; 54:7194-7203. [PMID: 27796755 DOI: 10.1007/s12035-016-0243-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2016] [Accepted: 10/18/2016] [Indexed: 12/31/2022]
Abstract
Decreased β-amyloid (Aβ) clearance from the brain has been suggested to contribute to cerebral Aβ accumulation in Alzheimer's disease. Based on the idea of a dynamic Aβ equilibrium in different body compartments, plasma Aβ levels have been investigated as biomarker candidates for preclinical Alzheimer's pathology, yet with inconsistent results. Since the kidneys are involved in Aβ elimination from the blood, we evaluated how chronic kidney disease (CKD) affects the association between plasma Aβ and cognitive deficits and cognitive decline. In 28 CKD patients, stages 3-5D, and 26 control subjects with comparable vascular risk profile from the New Tools for the Prevention of Cardiovascular Disease in Chronic Kidney Disease (NTCVD) cohort, plasma total Aβ was determined with a highly sensitive electrochemiluminescence immunoassay. Cognition was evaluated using a comprehensive battery of ten neuropsychological tests at baseline and 2-year follow-up. Subjects with high plasma Aβ level (above median) demonstrated a significantly worse baseline cognitive performance than subjects exhibiting low Aβ level (summary score of global cognitive performance at baseline z = -0.46 ± 0.76 vs z = -0.08 ± 0.57, p = 0.045). Cognitive performance moderately decreased over the 2-year follow-up in subjects with high plasma Aβ level (Δz = -0.13 ± 0.51), but increased in subjects with low plasma Aβ level (Δz = 0.16 ± 0.41, p = 0.023). In linear regression analyses, baseline plasma Aβ was significantly associated with cognitive decline both in unadjusted analyses (β = -0.28, 95% CI = -0.55 to -0.01) and analyses adjusted for age (β = -0.27, 95% CI = -0.54 to -0.01). Our results suggest the utility of plasma Aβ level in predicting cognitive decline in patients suffering from CKD.
Collapse
Affiliation(s)
- Janine Gronewold
- Department of Neurology, University Hospital Essen, Hufelandstraße 55, 45122, Essen, Germany
| | - Olga Todica
- Department of Neurology, University Hospital Essen, Hufelandstraße 55, 45122, Essen, Germany
| | - Hans-Wolfgang Klafki
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, von-Siebold-Straße 5, 37075, Goettingen, Germany
| | - Ulla K Seidel
- Department of Neurology, University Hospital Essen, Hufelandstraße 55, 45122, Essen, Germany
| | - Britta Kaltwasser
- Department of Neurology, University Hospital Essen, Hufelandstraße 55, 45122, Essen, Germany
| | - Jens Wiltfang
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, von-Siebold-Straße 5, 37075, Goettingen, Germany
| | - Andreas Kribben
- Department of Nephrology, University Hospital Essen, Hufelandstraße 55, 45122, Essen, Germany
| | - Heike Bruck
- Department of Nephrology, University Hospital Essen, Hufelandstraße 55, 45122, Essen, Germany
| | - Dirk M Hermann
- Department of Neurology, University Hospital Essen, Hufelandstraße 55, 45122, Essen, Germany.
| |
Collapse
|
12
|
Morgese MG, Trabace L. Maternal Malnutrition in the Etiopathogenesis of Psychiatric Diseases: Role of Polyunsaturated Fatty Acids. Brain Sci 2016; 6:E24. [PMID: 27472366 PMCID: PMC5039453 DOI: 10.3390/brainsci6030024] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2016] [Revised: 07/20/2016] [Accepted: 07/22/2016] [Indexed: 12/11/2022] Open
Abstract
Evidence from human studies indicates that maternal metabolic state and malnutrition dramatically influence the risk for developing psychiatric complications in later adulthood. In this regard, the central role of polyunsaturated fatty acids (PUFAs), and particularly n-3 PUFAs, is emerging considering that epidemiological evidences have established a negative correlation between n-3 PUFA consumption and development of mood disorders. These findings were supported by clinical studies indicating that low content of n-3 PUFAs in diet is linked to an increased susceptibility to psychiatric disorders. PUFAs regulate membrane fluidity and exert their central action by modulating synaptogenesis and neurotrophic factor expression, neurogenesis, and neurotransmission. Moreover, they are precursors of molecules implicated in modulating immune and inflammatory processes in the brain. Importantly, their tissue concentrations are closely related to diet intake, especially to maternal consumption during embryonal life, considering that their synthesis from essential precursors has been shown to be inefficient in mammals. The scope of this review is to highlight the possible mechanisms of PUFA functions in the brain during pre- and post-natal period and to evaluate their role in the pathogenesis of psychiatric diseases.
Collapse
Affiliation(s)
- Maria Grazia Morgese
- Department of Clinical and Experimental Medicine, University of Foggia, Foggia 71122, Italy.
| | - Luigia Trabace
- Department of Clinical and Experimental Medicine, University of Foggia, Foggia 71122, Italy.
| |
Collapse
|
13
|
Qiu WQ, Zhu H, Dean M, Liu Z, Vu L, Fan G, Li H, Mwamburi M, Steffens DC, Au R. Amyloid-associated depression and ApoE4 allele: longitudinal follow-up for the development of Alzheimer's disease. Int J Geriatr Psychiatry 2016; 31:316-22. [PMID: 26250797 PMCID: PMC4840849 DOI: 10.1002/gps.4339] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2015] [Revised: 07/03/2015] [Accepted: 07/08/2015] [Indexed: 12/12/2022]
Abstract
BACKGROUND Amyloid-associated depression is associated with cognitive impairment cross sectionally. This follow-up study was to determine the relationship between amyloid-associated depression and the development of Alzheimer's disease (AD). METHODS Two hundred and twenty three subjects who did not have dementia at baseline were given a repeat cognitive evaluation for incident AD. Depression was defined by having a Center for Epidemiological Studies Depression (CES-D) score ≥ 16, and non-amyloid vs. amyloid-associated depression by having a low vs. high plasma amyloid-β peptide 40 (Aβ40)/Aβ42 ratio. Apolipoprotein E (ApoE) genotype was determined, and antidepressant usage was documented. RESULTS Fifteen subjects developed AD (7%) after an average follow-up time of 6.2 years. While none of those with non-amyloid depression developed AD, 9% of those with amyloid-associated depression developed AD. Further, among those with amyloid-associated depression, ApoE4 carriers tended to have a higher risk of AD than ApoE4 non-carriers (40% vs. 4%, p = 0.06). In contrast, 8% of those who did not have depression at baseline developed AD, but ApoE4 carriers and non-carriers did not show a difference in the AD risk. After adjusting for age, the interaction between ApoE4 and amyloid-associated depression (β = +0.113, SE = 0.047, P = 0.02) and the interaction between ApoE4 and antidepressant use (β = +0.174, SE = 0.064, P = 0.007) were associated with the AD risk. CONCLUSIONS Amyloid-associated depression may be prodromal depression of AD especially in the presence of ApoE4. Future studies with a larger cohort and a longer follow-up are warranted to further confirm this conclusion.
Collapse
Affiliation(s)
- Wei Qiao Qiu
- Department of Psychiatry, Boston University, Boston, MA, USA
,Department of Pharmacology and Experimental Therapeutics, Boston University, Boston, MA, USA
,Alzheimer’s Disease Center, Boston University, Boston, MA, USA
| | - Haihao Zhu
- Department of Pharmacology and Experimental Therapeutics, Boston University, Boston, MA, USA
| | - Michael Dean
- Department of Pharmacology and Experimental Therapeutics, Boston University, Boston, MA, USA
| | - Zhiheng Liu
- Department of Pharmacology and Experimental Therapeutics, Boston University, Boston, MA, USA
,Departments of Anesthesiology, the Second People’s Hospital of Shenzhen, China
| | - Linh Vu
- Department of Pharmacology and Experimental Therapeutics, Boston University, Boston, MA, USA
| | - Guanguang Fan
- Department of Pharmacology and Experimental Therapeutics, Boston University, Boston, MA, USA
,Departments of Anesthesiology, the Second People’s Hospital of Shenzhen, China
| | - Huajie Li
- Department of Pharmacology and Experimental Therapeutics, Boston University, Boston, MA, USA
,Department of Neurology, the First People’s Hospital of Chang Zhou, China
| | - Mkaya Mwamburi
- Department of Public Health and Family Medicine, Tufts University, Boston, MA, USA
| | - David C. Steffens
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA
| | - Rhoda Au
- Department of Neurology, Boston University, Boston, MA, USA
| |
Collapse
|
14
|
Baird AL, Westwood S, Lovestone S. Blood-Based Proteomic Biomarkers of Alzheimer's Disease Pathology. Front Neurol 2015; 6:236. [PMID: 26635716 PMCID: PMC4644785 DOI: 10.3389/fneur.2015.00236] [Citation(s) in RCA: 86] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2015] [Accepted: 10/26/2015] [Indexed: 12/31/2022] Open
Abstract
The complexity of Alzheimer’s disease (AD) and its long prodromal phase poses challenges for early diagnosis and yet allows for the possibility of the development of disease modifying treatments for secondary prevention. It is, therefore, of importance to develop biomarkers, in particular, in the preclinical or early phases that reflect the pathological characteristics of the disease and, moreover, could be of utility in triaging subjects for preventative therapeutic clinical trials. Much research has sought biomarkers for diagnostic purposes by comparing affected people to unaffected controls. However, given that AD pathology precedes disease onset, a pathology endophenotype design for biomarker discovery creates the opportunity for detection of much earlier markers of disease. Blood-based biomarkers potentially provide a minimally invasive option for this purpose and research in the field has adopted various “omics” approaches in order to achieve this. This review will, therefore, examine the current literature regarding blood-based proteomic biomarkers of AD and its associated pathology.
Collapse
Affiliation(s)
- Alison L Baird
- Department of Psychiatry, University of Oxford , Oxford , UK
| | - Sarah Westwood
- Department of Psychiatry, University of Oxford , Oxford , UK
| | - Simon Lovestone
- Department of Psychiatry, University of Oxford , Oxford , UK
| |
Collapse
|
15
|
Schupf N, Lee A, Park N, Dang LH, Pang D, Yale A, Oh DKT, Krinsky-McHale SJ, Jenkins EC, Luchsinger JA, Zigman WB, Silverman W, Tycko B, Kisselev S, Clark L, Lee JH. Candidate genes for Alzheimer's disease are associated with individual differences in plasma levels of beta amyloid peptides in adults with Down syndrome. Neurobiol Aging 2015; 36:2907.e1-10. [PMID: 26166206 DOI: 10.1016/j.neurobiolaging.2015.06.020] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2014] [Revised: 06/08/2015] [Accepted: 06/14/2015] [Indexed: 01/08/2023]
Abstract
We examined the contribution of candidates genes for Alzheimer's disease (AD) to individual differences in levels of beta amyloid peptides in adults with Down syndrom, a population at high risk for AD. Participants were 254 non-demented adults with Down syndrome, 30-78 years of age. Genomic deoxyribonucleic acid was genotyped using an Illumina GoldenGate custom array. We used linear regression to examine differences in levels of Aβ peptides associated with the number of risk alleles, adjusting for age, sex, level of intellectual disability, race and/or ethnicity, and the presence of the APOE ε4 allele. For Aβ42 levels, the strongest gene-wise association was found for a single nucleotide polymorphism (SNP) on CAHLM1; for Aβ40 levels, the strongest gene-wise associations were found for SNPs in IDE and SOD1, while the strongest gene-wise associations with levels of the Aβ42/Aβ40 ratio were found for SNPs in SORCS1. Broadly classified, variants in these genes may influence amyloid precursor protein processing (CALHM1, IDE), vesicular trafficking (SORCS1), and response to oxidative stress (SOD1).
Collapse
Affiliation(s)
- Nicole Schupf
- The Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Medical Center, New York, NY, USA; G.H. Sergievsky Center, New York, NY, USA; Department of Epidemiology, Columbia University Medical Center, New York, NY, USA; Department of Psychiatry, Columbia University Medical Center, New York, NY, USA.
| | - Annie Lee
- The Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Medical Center, New York, NY, USA
| | - Naeun Park
- The Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Medical Center, New York, NY, USA
| | - Lam-Ha Dang
- The Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Medical Center, New York, NY, USA
| | - Deborah Pang
- Department of Psychology, New York State Institute for Basic Research in Developmental Disabilities, Staten Island, NY, USA
| | - Alexander Yale
- Department of Pathology and Cell Biology, Columbia University Medical Center, New York, NY, USA
| | - David Kyung-Taek Oh
- Department of Pathology and Cell Biology, Columbia University Medical Center, New York, NY, USA
| | - Sharon J Krinsky-McHale
- Department of Psychology, New York State Institute for Basic Research in Developmental Disabilities, Staten Island, NY, USA
| | - Edmund C Jenkins
- Department of Human Genetics, New York State Institute for Basic Research in Developmental Disabilities, Staten Island, NY, USA
| | - José A Luchsinger
- Department of Medicine, Columbia University Medical Center, New York, NY, USA
| | - Warren B Zigman
- Department of Psychology, New York State Institute for Basic Research in Developmental Disabilities, Staten Island, NY, USA
| | - Wayne Silverman
- Kennedy Krieger Institute and Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Benjamin Tycko
- Department of Pathology and Cell Biology, Columbia University Medical Center, New York, NY, USA
| | - Sergey Kisselev
- The Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Medical Center, New York, NY, USA
| | - Lorraine Clark
- The Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Medical Center, New York, NY, USA
| | - Joseph H Lee
- The Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Medical Center, New York, NY, USA; G.H. Sergievsky Center, New York, NY, USA; Department of Epidemiology, Columbia University Medical Center, New York, NY, USA
| |
Collapse
|
16
|
Park S, Nam YY, Sim Y, Hong JP. Interactions between the apolipoprotein E ε4 allele status and adverse childhood experiences on depressive symptoms in older adults. Eur J Psychotraumatol 2015; 6:25178. [PMID: 25630472 PMCID: PMC4309830 DOI: 10.3402/ejpt.v6.25178] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2014] [Revised: 12/05/2014] [Accepted: 12/08/2014] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND The influence of childhood adversity on depression is modulated by genetic vulnerability. The apolipoprotein E ε4 (APOE-ε4) allele is a strong genetic risk factor for Alzheimer's disease (AD). Because late-life depressive symptoms could be a part of the preclinical course of AD, the APOE-ε4 allele may contribute to depression in old age. OBJECTIVE The aim of this study was to evaluate whether an APOE-ε4 carrier status was associated with depressive symptoms in older adults and to detect the gene-environment interaction between APOE-ε4 status and childhood adversity in relation to depressive symptoms in old age. METHOD The participants consisted of 137 older adults (age range 50-70) without any psychiatric history or clinically significant cognitive impairment. APOE genotypes and measures of childhood adversity and depressive symptoms were obtained. RESULTS There was a significant positive association between adverse childhood experiences (ACE) scores and depressive symptoms (B=0.60; 95% CI=0.26, 0.93 for a 1 score increase in ACE scores; p=0.001). Although APOE-ε4 status per se was not associated with depressive symptoms, there was a significant interaction of the ACE scores with the APOE genotype in relation to depressive symptoms (B=0.78; 95% CI=0.02, 1.55; p=0.044). There was a significantly higher effect of childhood adversity on depressive symptoms in APOE-ε4 carriers than non-carriers (t=2.13, p=0.035). CONCLUSIONS Our results suggest that the APOE-ε4 may modulate the association between childhood adversity and depressive symptoms in older adults. However, more research in a larger sample is needed to gain a better understanding of the relationship between the APOE-ε4, childhood adversity, and depression.
Collapse
Affiliation(s)
- Subin Park
- Department of Psychiatry, Seoul National Hospital, Seoul, South Korea
| | - Yoon-Young Nam
- Department of Psychiatry, Seoul National Hospital, Seoul, South Korea
| | - Yoojin Sim
- Department of Psychiatry, Asan Medical Center, Ulsan University College of Medicine, Seoul, South Korea
| | - Jin Pyo Hong
- Department of Psychiatry, Samsung Medical Center, Seoul, South Korea;
| |
Collapse
|
17
|
Osorio RS, Gumb T, Pomara N. Soluble amyloid-β levels and late-life depression. Curr Pharm Des 2014; 20:2547-54. [PMID: 23859552 PMCID: PMC4106797 DOI: 10.2174/13816128113199990502] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2013] [Accepted: 07/08/2013] [Indexed: 11/22/2022]
Abstract
Late-Life Major Depression (LLMD) is a complex heterogeneous disorder that has multiple pathophysiological mechanisms such as medical comorbidity, vascular-related factors and Alzheimer's disease (AD). There is an association between LLMD and AD, with LLMD possibly being a risk factor for, or early symptom of AD and vascular dementia. Whether depression is an etiologic risk factor for dementia, or part of the dementia prodrome remains controversial. AD has a long prodromal period with the neuropathologic features of the disease preceding the onset of clinical symptoms by as much as 15-20 years. Clinicopathological studies have provided robust support for the importance of Aβ42 in the pathogenesis of AD, but several other risk factors have also been identified. Given the relationship between Aβ42 and AD, a potential relationship between Aβ42 and LLMD would improve the understanding of the association between LLMD and AD. We reviewed 15 studies that analyzed the relationship between soluble Aβ42 and LLMD. For studies looking at plasma and/or cerebrospinal fluid (CSF) levels of Aβ42, the relationship between LLMD and soluble Aβ42 was equivocal, with some studies finding elevated Aβ42 levels associated with LLMD and others finding the opposite, decreased levels of Aβ42 associated with LLMD. It may be that there is poor reliability in the diagnosis of depression in late life, or variability in the criteria and the scales used, or subtypes of depression in late life such as early vs. late onset depression, vascular-related depression, and preclinical/comorbid depression in AD. The different correlations associated with each of these factors would be causing the inconsistent results for soluble Aβ42 levels in LLMD, but it is also possible that these patterns derive from disease stage-dependent differences in the trajectory of CSF Aβ42 during older age, or changes in neuronal activity or the sleep/wake cycle produced by LLMD that influence Aβ42 dynamics.
Collapse
Affiliation(s)
| | | | - Nunzio Pomara
- Center for Brain Health Department of Psychiatry, NYU Center for Brain Health Center of Excellence on Brain Aging and Dementia, 145 E. 32nd Street New York, NY 10016.
| |
Collapse
|
18
|
Gabelle A, Richard F, Gutierrez LA, Schraen S, Delva F, Rouaud O, Buée L, Dartigues JF, Touchon J, Lambert JC, Berr C. Plasma amyloid-β levels and prognosis in incident dementia cases of the 3-City Study. J Alzheimers Dis 2013; 33:381-91. [PMID: 22976074 DOI: 10.3233/jad-2012-121147] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Studies of plasma amyloid-β (Aβ) levels as potential biomarkers for incident Alzheimer's disease (AD) have yielded contradictory results. We explored the associations between plasma Aβ(40), Aβ(42), and truncated Aβ levels, and prognosis of dementia in participants of the prospective 3-City Study. 120 aged individuals diagnosed with 2-year incident dementia were followed up for seven years. The associations between Aβ plasma levels and baseline cognitive score, cognitive decline, and death were examined. A higher level of baseline plasma Aβ was associated with worse cognitive status two years prior to incident dementia diagnosis. In incident AD patients, the association was only significant for Aβ(40) and Aβ(n-42). In the fast cognitive decliners group, especially in AD cases, a higher level of 5 pg/ml of baseline Aβ(42), Aβ(n-42), Aβ(n-42)/Aβ(n-40), and Aβ(42)/Aβ(40) ratios were associated with a lower risk of fast cognitive decline based on the Isaacs Set Test score. There was no association between peptide levels and mortality in demented subjects. When assayed at prodromal stage, plasma Aβ levels may be potentially useful markers of fast cognitive decline in individuals who subsequently become demented.
Collapse
Affiliation(s)
- Audrey Gabelle
- Department of Neurology, Centre Mémoire Ressources Recherche Languedoc-Roussillon, CHRU Gui de Chauliac Hospital, Montpellier, France.
| | | | | | | | | | | | | | | | | | | | | |
Collapse
|
19
|
Abstract
Research progress has provided detailed understanding of the molecular pathogenesis of Alzheimer disease (AD). This knowledge has been translated into new drug candidates with putative disease-modifying effects, which are now being tested in clinical trials. The promise of effective therapy has created a great need for biomarkers able to detect AD in the predementia phase, because drugs will probably be effective only if neurodegeneration is not too advanced. In this chapter, cerebrospinal fluid (CSF) and plasma biomarkers are reviewed. The core CSF biomarkers total tau (T-tau), phosphorylated tau (P-tau) and the 42 amino acid form of β-amyloid (Aβ42) reflect AD pathology, and have high diagnostic accuracy to diagnose AD with dementia and prodromal AD in mild cognitive impairment cases. The rationale for the use of CSF biomarkers to identify and monitor the mechanism of action of new drug candidates is also outlined in this chapter.
Collapse
Affiliation(s)
- Kaj Blennow
- Clinical Neurochemistry Laboratory, Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at University of Gothenburg, Sahlgrenska University Hospital, Mölndal, SE-431 80 Mölndal, Sweden.
| | | | | |
Collapse
|
20
|
Koyama A, Okereke OI, Yang T, Blacker D, Selkoe DJ, Grodstein F. Plasma amyloid-β as a predictor of dementia and cognitive decline: a systematic review and meta-analysis. ARCHIVES OF NEUROLOGY 2012; 69:824-31. [PMID: 22451159 PMCID: PMC3772635 DOI: 10.1001/archneurol.2011.1841] [Citation(s) in RCA: 156] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
BACKGROUND Preclinical prediction of Alzheimer disease (AD) is important and critical to effective intervention. Plasma levels of amyloid-β (Aβ) peptides have been a principal focus of the growing literature on blood-based biomarkers, but studies to date have varied in design, assay methods, and sample size, making it difficult to readily interpret the overall data. OBJECTIVE To conduct a systematic review and meta-analysis of relevant prospective studies to determine whether plasma amyloid-β levels may predict development of dementia, AD, and cognitive decline. DESIGN We searched prospective studies published between 1995 and 2011 indexed in the MEDLINE, EMBASE, and PsycINFO databases. Selected studies included those measuring at least 1 relevant plasma amyloid-β species (Aβ(40), Aβ(42), or Aβ(42):Aβ(40) ratio) and reporting an effect estimate for dementia, AD, or cognitive change. MAIN OUTCOME MEASURES Using a standardized extraction form, appropriate study parameters on subject information, exposure, and outcome were extracted. Random effects models were used to generate summary risk ratios and 95% confidence intervals comparing the bottom vs top quantiles for each plasma measure. RESULTS Thirteen studies with a total of 10 303 subjects met inclusion criteria for meta-analysis. Lower Aβ(42):Aβ(40) ratios were significantly associated with development of AD (summary risk ratio, 1.60; 95% CI, 1.04-2.46; P = .03) and dementia (risk ratio, 1.67; 95% CI, 1.02-2.75; P = .04). Significant heterogeneity was found for both summary estimates, which could not be explained by participants' age, sex distribution, the study's follow-up time, or year of publication. Plasma levels of Aβ(40) and Aβ(42) alone were not significantly associated with either outcome. CONCLUSIONS Overall, the literature indicates that plasma Aβ(42):Aβ(40) ratios predict development of AD and dementia. However, significant heterogeneity in the meta-analysis underlines the need for substantial further investigation of plasma amyloid-β levels as a preclinical biomarker.
Collapse
Affiliation(s)
- Alain Koyama
- Department of Psychiatry, University of California at San Francisco, USA.
| | | | | | | | | | | |
Collapse
|
21
|
Blood-based biomarkers for Alzheimer's disease: plasma Aβ40 and Aβ42, and genetic variants. Neurobiol Aging 2012; 32 Suppl 1:S10-9. [PMID: 22078169 DOI: 10.1016/j.neurobiolaging.2011.09.004] [Citation(s) in RCA: 56] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Identifying a biomarker for Alzheimer's disease that can be obtained from a blood sample has been a goal of researchers for many years. Over the past few years a number of investigators have studied several plasma biomarkers but most frequently plasma amyloid beta (Aβ)40 and Aβ42 while others have explored the use of genetic variants as biomarkers for diagnosis or risk. This review considers the cross-sectional and longitudinal data regarding plasma Aβ40 and Aβ42 as diagnostic biomarkers as well as risk biomarkers. Review of recent genome-wide association studies indicates as many as 10 genetic variants have been associated with susceptibility to Alzheimer's disease (AD). Further analysis suggests that these factors have modest effects on risk and are thus not helpful, as yet, in the diagnosis of disease. Until the function of these genes is understood, their role in risk and diagnosis will remain uncertain. Thus, there are several types of peripheral biomarkers under investigation, but more work is required before they can be deemed clinically useful.
Collapse
|
22
|
Song F, Poljak A, Valenzuela M, Mayeux R, Smythe GA, Sachdev PS. Meta-analysis of plasma amyloid-β levels in Alzheimer's disease. J Alzheimers Dis 2012; 26:365-75. [PMID: 21709378 DOI: 10.3233/jad-2011-101977] [Citation(s) in RCA: 107] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Plasma amyloid-β (Aβ) levels have been proposed as biomarkers of Alzheimer's disease (AD), but studies have produced inconsistent results. We present a meta-analytic review of cross-sectional studies that examined plasma Aβ levels in AD and cognitively normal subjects, and longitudinal studies that used baseline plasma Aβ levels to predict conversion from normal cognition to AD. Medline and EMBASE databases were searched to generate an initial list of relevant studies, and selected authors approached for additional data. Twelve cross- sectional studies (n = 1483) and seven longitudinal (n = 3920) met the inclusion criteria for meta-analysis. Random effects model was used to calculate the weighted mean difference (WMD) by Review Manager Version 4.2. In longitudinal studies, cognitively normal individuals who converted to AD had higher baseline Aβ1-40 and Aβ1-42 levels (WMD: 10.29, z = 3.80, p = 0.0001 and WMD: 8.01, z = 2.76, p = 0.006, respectively), and non-significantly increased Aβ1-42/Aβ1-40 ratio (WMD: 0.03, z = 1.65, p = 0.10). In cross sectional studies, compared to cognitively normal individuals, AD patients had marginally but non-significantly lower Aβ1-42 levels (WMD:-2.84, z = 1.73, p = 0.08), but Aβ1-40 levels were not significantly different (WMD: 3.43, z = 0.40, p = 0.69). Our systematic review suggests a model of differential longitudinal changes in plasma Aβ levels in cognitively stable individuals versus those who go on to develop AD dementia. Baseline Aβ1-40 and Aβ1-42 levels in cognitively normal elderly individuals might be predictors of higher rates of progression to AD, and should be further explored as potential biomarkers.
Collapse
Affiliation(s)
- Fei Song
- Bioanalytical Mass Spectrometry Facility, University of New South Wales, Sydney, Australia
| | | | | | | | | | | |
Collapse
|
23
|
van den Boogaard M, Kox M, Quinn KL, van Achterberg T, van der Hoeven JG, Schoonhoven L, Pickkers P. Biomarkers associated with delirium in critically ill patients and their relation with long-term subjective cognitive dysfunction; indications for different pathways governing delirium in inflamed and noninflamed patients. CRITICAL CARE : THE OFFICIAL JOURNAL OF THE CRITICAL CARE FORUM 2011; 15:R297. [PMID: 22206727 PMCID: PMC3388649 DOI: 10.1186/cc10598] [Citation(s) in RCA: 124] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Download PDF] [Subscribe] [Scholar Register] [Received: 07/27/2011] [Accepted: 12/29/2011] [Indexed: 12/21/2022]
Abstract
Introduction Delirium occurs frequently in critically ill patients and is associated with disease severity and infection. Although several pathways for delirium have been described, biomarkers associated with delirium in intensive care unit (ICU) patients is not well studied. We examined plasma biomarkers in delirious and nondelirious patients and the role of these biomarkers on long-term cognitive function. Methods In an exploratory observational study, we included 100 ICU patients with or without delirium and with ("inflamed") and without ("noninflamed") infection/systemic inflammatory response syndrome (SIRS). Delirium was diagnosed by using the confusion-assessment method-ICU (CAM-ICU). Within 24 hours after the onset of delirium, blood was obtained for biomarker analysis. No differences in patient characteristics were found between delirious and nondelirious patients. To determine associations between biomarkers and delirium, univariate and multivariate logistic regression analyses were performed. Eighteen months after ICU discharge, a cognitive-failure questionnaire was distributed to the ICU survivors. Results In total, 50 delirious and 50 nondelirious patients were included. We found that IL-8, MCP-1, procalcitonin (PCT), cortisol, and S100-β were significantly associated with delirium in inflamed patients (n = 46). In the noninflamed group of patients (n = 54), IL-8, IL-1ra, IL-10 ratio Aβ1-42/40, and ratio AβN-42/40 were significantly associated with delirium. In multivariate regression analysis, IL-8 was independently associated (odds ratio, 9.0; 95% confidence interval (CI), 1.8 to 44.0) with delirium in inflamed patients and IL-10 (OR 2.6; 95% CI 1.1 to 5.9), and Aβ1-42/40 (OR, 0.03; 95% CI, 0.002 to 0.50) with delirium in noninflamed patients. Furthermore, levels of several amyloid-β forms, but not human Tau or S100-β, were significantly correlated with self-reported cognitive impairment 18 months after ICU discharge, whereas inflammatory markers were not correlated to impaired long-term cognitive function. Conclusions In inflamed patients, the proinflammatory cytokine IL-8 was associated with delirium, whereas in noninflamed patients, antiinflammatory cytokine IL-10 and Aβ1-42/40 were associated with delirium. This suggests that the underlying mechanism governing the development of delirium in inflamed patients differs from that in noninflamed patients. Finally, elevated levels of amyloid-β correlated with long-term subjective cognitive-impairment delirium may represent the first sign of a (subclinical) dementia process. Future studies must confirm these results. The study was registered in the Clinical Trial Register (NCT00604773).
Collapse
Affiliation(s)
- Mark van den Boogaard
- Department of Intensive Care Medicine, Radboud University Nijmegen Medical Centre, PO Box 9101, Nijmegen, 6500HB, The Netherlands.
| | | | | | | | | | | | | |
Collapse
|
24
|
Blood-based protein biomarkers for diagnosis and classification of neurodegenerative diseases: current progress and clinical potential. Mol Diagn Ther 2011; 15:83-102. [PMID: 21623645 DOI: 10.1007/bf03256398] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Biomarker research is a rapidly advancing field in medicine. Recent advances in genomic, genetic, epigenetic, neuroscientific, proteomic, and metabolomic knowledge and technologies have opened the way to thriving research. In the most general sense, a biomarker refers to any useful characteristic that can be measured and used as an indicator of a normal biologic process, a pathogenic process, or a pharmacologic response to a therapeutic agent. Despite the extensive resources concentrated on this area, there are very few biomarkers currently available that qualify and are satisfactorily validated for mental disorders, and there is still a major lack of biomarkers for typifying neurodegenerative disorders such as Alzheimer's disease and Parkinson's disease. This article provides an overview of this field of research and focuses on recent advances in biomarker research in Alzheimer's disease and Parkinson's disease.
Collapse
|
25
|
Schupf N, Zigman WB, Tang MX, Pang D, Mayeux R, Mehta P, Silverman W. Change in plasma Aß peptides and onset of dementia in adults with Down syndrome. Neurology 2010; 75:1639-44. [PMID: 21041786 DOI: 10.1212/wnl.0b013e3181fb448b] [Citation(s) in RCA: 59] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To examine changes in levels of plasma amyloid-β (Aβ) peptides, Aβ42 and Aβ40, in relation to onset of Alzheimer disease (AD) in adults with Down syndrome (DS). METHODS Plasma Aβ42 and Aβ40 were measured at initial examination and at follow-up in a community-based cohort of 225 adults with DS who did not have dementia at baseline and were assessed for cognitive/functional abilities and health status and followed at 14- to 20-month intervals. We used Cox proportional hazards modeling to estimate the cumulative incidence of AD by Aβ peptide change group (increasing, no change, or decreasing), adjusting for covariates. RESULTS Sixty-one (27.1%) of the participants developed AD. At follow-up, a decrease in Aβ42 levels, a decrease in the Aβ42/Aβ40 ratio, and an increase in Aβ40 levels were related to conversion to AD. Compared with the group with increasing levels of Aβ42, the likelihood of developing AD was 5 times higher for those whose plasma Aβ42 levels decreased over follow-up (hazard ratio [HR] = 4.9, 95% confidence interval [CI] 2.1-11.4). Decreasing Aβ42/Aβ40 was also strongly related to AD risk (HR = 4.9, 95% CI 1.8-13.2), while decreasing Aβ40 was associated with lower risk (HR = 0.4, 95% CI 0.2-0.9). CONCLUSIONS Among adults with DS, decreasing levels of plasma Aβ42, a decline in the Aβ42/Aβ40 ratio, or increasing levels of Aβ40 may be sensitive indicators of conversion to AD, possibly reflecting compartmentalization of Aβ peptides in the brain.
Collapse
Affiliation(s)
- N Schupf
- Taub Institute for Research on AD and the Aging Brain, Columbia University Medical Center, 630 West 168th Street, New York, NY 10032, USA.
| | | | | | | | | | | | | |
Collapse
|
26
|
Cosentino SA, Stern Y, Sokolov E, Scarmeas N, Manly JJ, Tang MX, Schupf N, Mayeux RP. Plasma ß-amyloid and cognitive decline. ACTA ACUST UNITED AC 2010; 67:1485-90. [PMID: 20697031 DOI: 10.1001/archneurol.2010.189] [Citation(s) in RCA: 67] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
OBJECTIVES To determine if plasma β-amyloid (Aβ) levels (1) can be linked to specific cognitive changes that constitute conversion to Alzheimer disease (AD) and (2) correspond to cognitive change independent of dementia. DESIGN Longitudinal study including 3 visits during approximately 4¹/₂ years (2000-2006). SETTING Northern Manhattan community. PARTICIPANTS Eight hundred eighty individuals from a population-based and ethnically diverse sample who had 2 plasma Aβ measurements and were dementia free at the time of the first Aβ sample; 481 remained cognitively healthy, 329 were cognitively or functionally impaired but not demented at any point, and 70 developed AD. MAIN OUTCOME MEASURES General estimating equations tested the association between plasma Aβ (baseline and change in values) and cognitive change (composite score and memory, language, and visuospatial indices). RESULTS High baseline plasma Aβ42 (P = .01) and Aβ40 (P = .01) and decreasing/relatively stable Aβ42 (P = .01) values were associated with faster decline in multiple cognitive domains. In those who remained cognitively healthy, high baseline plasma Aβ42 (P = .01) and decreasing/relatively stable plasma Aβ42 (P = .01) was associated with faster cognitive decline, primarily in memory. CONCLUSIONS The association between plasma Aβ and multiple aspects of cognition more clearly specifies the previously documented downward trajectory of plasma Aβ with AD onset. The predominant association with memory seen only in healthy elderly individuals also suggests that plasma Aβ is linked with even earlier neurologic changes that may or may not culminate in dementia.
Collapse
Affiliation(s)
- Stephanie A Cosentino
- The Gertrude H. Sergievsky Center, Taub Institute for Research in Alzheimer’s Disease and the Aging Brain, Columbia University Medical Center, New York, NY 10032, USA
| | | | | | | | | | | | | | | |
Collapse
|
27
|
Andreasson U, Portelius E, Andersson ME, Blennow K, Zetterberg H. Aspects of beta-amyloid as a biomarker for Alzheimer's disease. Biomark Med 2010; 1:59-78. [PMID: 20477461 DOI: 10.2217/17520363.1.1.59] [Citation(s) in RCA: 56] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Alzheimer's disease is an age-related neurodegenerative disorder that results in progressive cognitive impairment and death. The accumulation of beta-amyloid (Abeta) in specific brain regions is believed by many to represent the earliest event in the pathogenesis of the disease. Here, we review the key aspects of Abeta as a biomarker for Alzheimer's disease, including the pathogenicity of Abeta, the possible biological functions of its precursor protein, the Abeta metabolism and homeostasis, the diagnostic performance of different Abeta assays in different settings and the potential usefulness of Abeta as a surrogate marker for treatment efficacy in clinical trials of novel Abeta-targeting drugs against Alzheimer's disease.
Collapse
Affiliation(s)
- Ulf Andreasson
- Sahlgrenska University Hospital/Mölndal, Clinical Neurochemistry Laboratory/Mölndal, S-431 80, Göteborg University, Mölndal, Sweden
| | | | | | | | | |
Collapse
|
28
|
Abstract
Intense multidisciplinary research has provided detailed knowledge of the molecular pathogenesis of Alzheimer disease (AD). This knowledge has been translated into new therapeutic strategies with putative disease-modifying effects. Several of the most promising approaches, such as amyloid-beta immunotherapy and secretase inhibition, are now being tested in clinical trials. Disease-modifying treatments might be at their most effective when initiated very early in the course of AD, before amyloid plaques and neurodegeneration become too widespread. Thus, biomarkers are needed that can detect AD in the predementia phase or, ideally, in presymptomatic individuals. In this Review, we present the rationales behind and the diagnostic performances of the core cerebrospinal fluid (CSF) biomarkers for AD, namely total tau, phosphorylated tau and the 42 amino acid form of amyloid-beta. These biomarkers reflect AD pathology, and are candidate markers for predicting future cognitive decline in healthy individuals and the progression to dementia in patients who are cognitively impaired. We also discuss emerging plasma and CSF biomarkers, and explore new proteomics-based strategies for identifying additional CSF markers. Furthermore, we outline the roles of CSF biomarkers in drug discovery and clinical trials, and provide perspectives on AD biomarker discovery and the validation of such markers for use in the clinic.
Collapse
|
29
|
Prasher VP, Sajith SG, Mehta P, Zigman WB, Schupf N. Plasma beta-amyloid and duration of Alzheimer's disease in adults with Down syndrome. Int J Geriatr Psychiatry 2010; 25:202-7. [PMID: 19513990 PMCID: PMC2811215 DOI: 10.1002/gps.2321] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
OBJECTIVES To investigate the relation of plasma levels of Abeta peptides (Abeta1-40 and Abeta1-42) and apolipoprotein E (APOE) genotype to dementia status, and the duration of Alzheimer's disease (AD) in adults with Down syndrome (DS). METHODS Adults with DS were recruited from community settings and followed up for a mean period of 6.7 years. Plasma levels Abeta1-40 and Abeta1-42 and APOE genotype were determined at the last visit. RESULTS There were 83 nondemented participants and 44 participants with prevalent AD. Overall, plasma levels of Abeta1-42, Abeta1-40 and the ratio Abeta1-42/Abeta1-40 did not differ significantly between the adults with DS. Among demented participants, the mean level of Abeta1-40 was significantly lower (157.0 vs. 195.3) and the ratio of Abeta1-42/Abeta1-40 was significantly higher (0.28 vs. 0.16) in those with more than 4 years duration of dementia than in those with 4 or fewer years' duration of dementia. This pattern was generally similar in those with and without an APOE epsilon4 allele. CONCLUSIONS There is an association between plasma Abeta peptide levels and the duration of AD in older persons with DS. The predictive and diagnostic roles of Abeta1-42 and Abeta1-40 measurements for AD, however, remain controversial. Change in Abeta peptide levels with onset of AD and with the duration of dementia may account for a lack of difference between prevalent cases and nondemented individuals and for variation in the predictive power of Abeta peptide levels.
Collapse
Affiliation(s)
- V P Prasher
- Monyhull Hospital, Liverpool John Moore University, c/o The Greenfields, Monyhull, Birmingham, UK.
| | | | | | | | | |
Collapse
|
30
|
Depression and plasma amyloid beta peptides in the elderly with and without the apolipoprotein E4 allele. Alzheimer Dis Assoc Disord 2010; 23:238-44. [PMID: 19812466 DOI: 10.1097/wad.0b013e31819cb3ac] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Depression associated with low plasma amyloid-beta peptide 42 (Abeta42) leading to a high ratio of Abeta40/Abeta42, a biomarker of Alzheimer disease (AD), may represent a unique depression subtype. The relationship between low plasma Abeta42 in depression and the major risk factor of AD, apolipoprotein E4 (ApoE4), is unknown. With the goal of clarifying this relationship, we analyzed 1060 homebound elders with ApoE characterization and depression status in a cross-sectional study. Plasma Abeta40 and Abeta42 were measured, and cognition were evaluated. In the absence of the ApoE4 allele, depressed subjects had lower plasma Abeta42 [median (Q1, Q3): 17.1 (11.6, 27.8) vs. 20.2 (12.9, 32.9) pg/mL, P=0.006], a higher Abeta40/Abeta42 ratio [median (Q1, Q3): 7.1 (4.6, 11.3) vs. 6.9 (3.4, 9.7), P=0.03], and lower cognitive function (mean+/-SD of Mini-Mental State Examination: 24.5+/-3.1 vs. 25.5+/-3.3, P<0.0001) than those without depression. In contrast, these relationships were not observed in the presence of ApoE4. Instead, regardless the depression status ApoE4 carriers had lower plasma Abeta42 and a higher Abeta40/Abeta42 ratio than non-ApoE4 carriers. Using multivariate logistic regression, it was found that depression was not associated with ApoE4 allele, but with the interaction between plasma Abeta42 and ApoE4 (odds ratio=3.94, 95% confidence interval=1.50, 10.33, P=0.005), denoting low plasma Abeta42 in the absence of ApoE4. Both ApoE4 carriers and non-ApoE4 carriers with depression had lower Abeta42 and a higher Abeta40/Abeta42 ratio in plasma compared with non-ApoE4 carriers without depression in the homebound elderly. As a combination of low plasma Abeta42 and high plasma Abeta40 has been shown to increase the risk of AD in 2 large cohort studies, amyloid-associated depression shown in this study may suggest a risk factor of AD in the absence of ApoE4.
Collapse
|
31
|
Schneider P, Hampel H, Buerger K. Biological marker candidates of Alzheimer's disease in blood, plasma, and serum. CNS Neurosci Ther 2009; 15:358-74. [PMID: 19840034 DOI: 10.1111/j.1755-5949.2009.00104.x] [Citation(s) in RCA: 96] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
At the earliest clinical stages of Alzheimer's disease (AD), when first symptoms are mild, making a reliable and accurate diagnosis is difficult. AD related brain pathology and underlying molecular mechanisms precede symptoms. Biological markers can serve as supportive early screening and diagnostic tools as well as indicators of presymptomatic biochemical change. Moreover, biomarkers cover a variety of roles and functions such as disease prediction, indicating disease acuity and progression, and may ensure biological mapping of treatment outcome. Early screening, detection, and diagnosis of AD would permit earlier disease modifying intervention at potentially reversible stages. To date, most established biological markers from both cerebrospinal fluid neurochemistry and structural and functional neuroimaging have not reached widespread clinical application. Crucial remaining problems, such as easy acceptance and application of a test, cost-effectiveness, and noninvasiveness, need to be resolved. The development and validation of precise, reliable, and robust tests and biomarkers in blood, plasma, or serum has therefore been for a long time the ultimate focus of many research groups worldwide. Blood-based testing will most likely be the prerequisite to future sensitive screening of large populations at risk of AD and the baseline in a diagnostic flow approach to AD. The status and emerging perspectives on hypothesis and exploratory-based candidate biomarkers derived from blood, plasma, and serum are reviewed and discussed.
Collapse
Affiliation(s)
- Philine Schneider
- Department of Psychiatry, Ludwig-Maximilian University, Alzheimer Memorial Center, Munich, Germany.
| | | | | |
Collapse
|
32
|
Hampel H, Shen Y, Walsh DM, Aisen P, Shaw LM, Zetterberg H, Trojanowski JQ, Blennow K. Biological markers of amyloid beta-related mechanisms in Alzheimer's disease. Exp Neurol 2009; 223:334-46. [PMID: 19815015 DOI: 10.1016/j.expneurol.2009.09.024] [Citation(s) in RCA: 117] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2009] [Revised: 09/21/2009] [Accepted: 09/26/2009] [Indexed: 12/15/2022]
Abstract
Recent research progress has given detailed knowledge on the molecular pathogenesis of Alzheimer's disease (AD), which has been translated into an intense, ongoing development of disease-modifying treatments. Most new drug candidates are targeted on inhibiting amyloid beta (Abeta) production and aggregation. In drug development, it is important to co-develop biomarkers for Abeta-related mechanisms to enable early diagnosis and patient stratification in clinical trials, and to serve as tools to identify and monitor the biochemical effect of the drug directly in patients. Biomarkers are also requested by regulatory authorities to serve as safety measurements. Molecular aberrations in the AD brain are reflected in the cerebrospinal fluid (CSF). Core CSF biomarkers include Abeta isoforms (Abeta40/Abeta42), soluble APP isoforms, Abeta oligomers and beta-site APP-cleaving enzyme 1 (BACE1). This article reviews recent research advances on core candidate CSF and plasma Abeta-related biomarkers, and gives a conceptual review on how to implement biomarkers in clinical trials in AD.
Collapse
Affiliation(s)
- Harald Hampel
- Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience (TCIN), Laboratory of Neuroimaging and Biomarker Research, Trinity College Dublin, Trinity Centre for Health Sciences, The Adelaide and Meath Hospital Incorporating The National Children's Hospital (AMiNCH), Dublin, Ireland
| | | | | | | | | | | | | | | |
Collapse
|
33
|
Hampel H, Broich K, Hoessler Y, Pantel J. Biological markers for early detection and pharmacological treatment of Alzheimer's disease. DIALOGUES IN CLINICAL NEUROSCIENCE 2009. [PMID: 19585950 PMCID: PMC3181918 DOI: 10.31887/dcns.2009.11.2/hhampel] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The introduction of biological markers in the clinical management of Alzheimer's disease (AD) will not only improve diagnosis relating to early detection of neuropathology with underlying molecular mechanisms, but also provides tools for the assessment of objective treatment benefits. In this review, we identify a number of in vivo neurochemistry and neuroimaging techniques, which can reliably assess aspects of physiology, pathology, chemistry, and neuroanatomy of AD, and hold promise as meaningful biomarkers in the early diagnostic process, as well as for the tracking of disease-modifying pharmacological effects. These neurobiological measures appear to relate closely to pathophysiological, neuropathological, and clinical data, such as hyperphosphorylation of tau, abeta metabolism, lipid peroxidation, pattern and rate of atrophy, loss of neuronal integrity, and functional and cognitive decline, as well as risk of future decline. As a perspective, the important role of biomarkers in the development of innovative drug treatments for AD and the related regulatory process is discussed.
Collapse
Affiliation(s)
- Harald Hampel
- Department of Psychiatry, Ludwig-Maximilian University Munich, Alzheimer Memorial Center, Munich, Germany.
| | | | | | | |
Collapse
|
34
|
Depression and anxiety symptoms are associated with cerebral FDDNP-PET binding in middle-aged and older nondemented adults. Am J Geriatr Psychiatry 2009; 17:493-502. [PMID: 19472439 PMCID: PMC2709773 DOI: 10.1097/jgp.0b013e3181953b82] [Citation(s) in RCA: 75] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
OBJECTIVES Amyloid senile plaques and tau neurofibrillary tangles are neuropathologic hallmarks of Alzheimer disease, which may be associated with mild cognitive impairment (MCI) or mood and anxiety symptoms years before the dementia diagnosis. To address this issue, the authors obtained positron emission tomography (PET) scans after intravenous injections of 2-(1-{6-[(2-[fluorine-18]fluoroethyl)(methyl)amino]-2-naphthyl}ethylidene)malononitrile (FDDNP), a molecule that binds to amyloid plaques and neurofibrillary tangles, to determine whether symptoms of depression and anxiety in nondemented subjects were associated with increased FDDNP-PET binding values. METHODS Forty-three middle-aged and elderly volunteers received clinical and FDDNP-PET assessments. Subjects were nondemented--23 of them were diagnosed with MCI and 20 were cognitively normal. Subjects with a diagnosis of major depression or an anxiety disorder were excluded. Correlations between standardized measures of depressive and anxiety symptoms and regional FDDNP binding values were calculated. RESULTS The MCI and comparison subjects did not differ by the depression and anxiety scores. In the MCI group, depression scores correlated with lateral temporal and trait anxiety scores correlated with posterior cingulate FDDNP binding. In the comparison group, depression scores correlated with medial temporal, and trait anxiety scores correlated with medial temporal and frontal FDDNP binding. DISCUSSION This is the first report to demonstrate a relationship between the severity of depression and anxiety symptoms and FDDNP binding values in nondemented middle age and older individuals. The results suggest a relationship between relatively mild mood symptoms and biomarkers of cerebral amyloid and tau deposition and vary according to degree of cognitive impairment. The presence of MCI may signify different pathophysiological mechanisms underlying mood and anxiety symptoms.
Collapse
|
35
|
Marcello A, Wirths O, Schneider-Axmann T, Degerman-Gunnarsson M, Lannfelt L, Bayer TA. Circulating immune complexes of Abeta and IgM in plasma of patients with Alzheimer's disease. J Neural Transm (Vienna) 2009; 116:913-20. [PMID: 19415450 PMCID: PMC2700872 DOI: 10.1007/s00702-009-0224-y] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2009] [Accepted: 03/21/2009] [Indexed: 01/01/2023]
Abstract
It has previously been shown that immune complexes (IC) of a given biomarker with class M immunoglobulins (IgM) provide better performances compared to the unbound biomarker in a number of cancer entities. In the present work, we investigated IC of IgM-Aβ as a potential biomarker for Alzheimer’s disease (AD). Aβ–IgM concentration has been measured in 75 plasma samples from patients with AD, individuals with mild cognitive impairment (MCI), and healthy age- and sex-matched controls (HC). To characterize the fractions associated with Aβ, pooled plasma samples were subjected to gel-filtration analysis. Size-separated fractions were analyzed for the presence of Aβ using a sandwich ELISA assay. A strong reactivity was observed in the high molecular weight IgM (>500 kDa) and 150 kDa (IgG) fractions indicating that blood Aβ is strongly associated with antibodies. Using an ELISA assay detecting Aβ–IgM complexes, we observed that high levels of Aβ–IgMs were detectable in HC and MCI patients; however, there was no significant difference to the AD group.
Collapse
Affiliation(s)
- Andrea Marcello
- Department of Psychiatry, University Medicine Goettingen, Göttingen 37075, Germany
| | | | | | | | | | | |
Collapse
|
36
|
Sonnen JA, Montine KS, Quinn JF, Kaye JA, Breitner JCS, Montine TJ. Biomarkers for cognitive impairment and dementia in elderly people. Lancet Neurol 2008; 7:704-14. [PMID: 18635019 DOI: 10.1016/s1474-4422(08)70162-5] [Citation(s) in RCA: 49] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
The threat of a looming pandemic of dementia in elderly people highlights the compelling need for the development and validation of biomarkers that can be used to identify pre-clinical and prodromal stages of disease in addition to fully symptomatic dementia. Although predictive risk factors and correlative neuroimaging measures will have important roles in these efforts, this Review describes recent progress in the discovery, validation, and standardisation of molecular biomarkers--small molecules and macromolecules whose concentration in the brain or biological fluids can aid diagnosis at different stages of the more common dementing diseases and in the assessment of disease progression and response to therapeutics. An approach that efficiently combines independent information from risk-factor assessment, neuroimaging measures, and biomarkers might soon guide clinicians in the early diagnosis and management of cognitive impairment in elderly people.
Collapse
Affiliation(s)
- Joshua A Sonnen
- Department of Pathology, Division of Neuropathology, University of Washington, Seattle, WA 98104, USA
| | | | | | | | | | | |
Collapse
|
37
|
Schupf N, Tang MX, Fukuyama H, Manly J, Andrews H, Mehta P, Ravetch J, Mayeux R. Peripheral Abeta subspecies as risk biomarkers of Alzheimer's disease. Proc Natl Acad Sci U S A 2008; 105:14052-7. [PMID: 18779561 PMCID: PMC2544577 DOI: 10.1073/pnas.0805902105] [Citation(s) in RCA: 178] [Impact Index Per Article: 11.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2008] [Indexed: 12/13/2022] Open
Abstract
Plasma Abeta42 and Abeta40 levels are putative biomarkers for Alzheimer's disease (AD), but their significance and predictive value have been inconclusive. In AD transgenic models, plasma and cerebrospinal fluid levels of Abeta42 and Abeta40 increase with age but subsequently decrease when Abeta begins to accumulate in brain and with the onset of cognitive impairment. To determine the predictive value of Abeta levels in elderly populations, we investigated how plasma Abeta42, Abeta40, and a protofibrillar subspecies of Abeta42 changed over time and with the onset of cognitive impairment or AD. In a cohort of 1,125 elderly persons without dementia, 104 (9.2%) of the participants developed AD over 4.6 years of follow-up. Higher plasma Abeta42 levels at the onset of the study were associated with a threefold increased risk of AD. However, conversion to AD was accompanied by a significant decline in plasma Abeta42, a decreased Abeta42/Abeta40 ratio and, with the onset of cognitive impairment, decreased protofibrillar Abeta42 levels. Our results suggest individuals with elevated plasma Abeta42 are at increased risk of AD and that with the onset of disease, the decline in some forms of Abeta may reflect compartmentalization of Abeta peptides in the brain.
Collapse
Affiliation(s)
- Nicole Schupf
- *Taub Institute for Research on Alzheimer's Disease and the Aging Brain
- Gertrude H. Sergievsky Center, and
- Psychiatry, College of Physicians and Surgeons and
- Departments of Epidemiology and
| | - Ming X. Tang
- Gertrude H. Sergievsky Center, and
- Biostatistics, Joseph P. Mailman School of Public Health, Columbia University, New York, NY 10032
| | - Hide Fukuyama
- Laboratory of Molecular Genetics and Immunology, Rockefeller University, New York, NY 10065
| | - Jennifer Manly
- *Taub Institute for Research on Alzheimer's Disease and the Aging Brain
- Gertrude H. Sergievsky Center, and
- Departments of **Neurology and
| | - Howard Andrews
- Biostatistics, Joseph P. Mailman School of Public Health, Columbia University, New York, NY 10032
| | - Pankaj Mehta
- Department of Immunology, New York State Institute for Basic Research in Developmental Disabilities, Staten Island, NY 10314; and
| | - Jeffery Ravetch
- Laboratory of Molecular Genetics and Immunology, Rockefeller University, New York, NY 10065
| | - Richard Mayeux
- *Taub Institute for Research on Alzheimer's Disease and the Aging Brain
- Gertrude H. Sergievsky Center, and
- Departments of **Neurology and
- Psychiatry, College of Physicians and Surgeons and
- Departments of Epidemiology and
| |
Collapse
|
38
|
Sun X, Steffens DC, Au R, Folstein M, Summergrad P, Yee J, Rosenberg I, Mwamburi DM, Qiu WQ. Amyloid-associated depression: a prodromal depression of Alzheimer disease? ACTA ACUST UNITED AC 2008; 65:542-50. [PMID: 18458206 DOI: 10.1001/archpsyc.65.5.542] [Citation(s) in RCA: 124] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
CONTEXT A high ratio of plasma amyloid-beta peptide 40 (Abeta(40)) to Abeta(42), determined by both high Abeta(40) and low Abeta(42) levels, increases the risk of Alzheimer disease. In a previous study, we reported that depression is also associated with low plasma Abeta(42) levels in the elderly population. OBJECTIVE To characterize plasma Abeta(40):Abeta(42) ratio and cognitive function in elderly individuals with and without depression. DESIGN Cross-sectional study. SETTING Homecare agencies. PARTICIPANTS A total of 995 homebound elderly individuals of whom 348 were defined as depressed by a Center for Epidemiological Studies Depression score of 16 or greater. MAIN OUTCOME MEASURES Cognitive domains of memory, language, executive, and visuospatial functions according to levels of plasma Abeta(40) and Abeta(42) peptides. RESULTS Subjects with depression had lower plasma Abeta(42) levels (median, 14.1 vs 19.2 pg/mL; P = .006) and a higher plasma Abeta(40):Abeta(42) ratio (median, 8.9 vs 6.4; P < .001) than did those without depression in the absence of cardiovascular disease and antidepressant use. The interaction between depression and plasma Abeta(40):Abeta(42) ratio was associated with lower memory score (beta = -1.9, SE = 0.7, P = .006) after adjusting for potentially confounders. Relative to those without depression, "amyloid-associated depression," defined by presence of depression and a high plasma Abeta(40):Abeta(42) ratio, was associated with greater impairment in memory, visuospatial ability, and executive function; in contrast, nonamyloid depression was not associated with memory impairment but with other cognitive disabilities. CONCLUSION Amyloid-associated depression may define a subtype of depression representing a prodromal manifestation of Alzheimer disease.
Collapse
Affiliation(s)
- Xiaoyan Sun
- Department of Psychiatry, Tufts-New England Medical Center, Campus Box 1007, 750 Washington St, Boston, MA 02111, USA
| | | | | | | | | | | | | | | | | |
Collapse
|
39
|
Crystal HA, Davies P. Toward a plasma marker for Alzheimer disease: some progress, but still a long way to go. Neurology 2008; 70:586-7. [PMID: 18285532 DOI: 10.1212/01.wnl.0000299905.05595.68] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
|
40
|
Schupf N, Patel B, Pang D, Zigman WB, Silverman W, Mehta PD, Mayeux R. Elevated plasma beta-amyloid peptide Abeta(42) levels, incident dementia, and mortality in Down syndrome. ACTA ACUST UNITED AC 2007; 64:1007-13. [PMID: 17620492 PMCID: PMC2587094 DOI: 10.1001/archneur.64.7.1007] [Citation(s) in RCA: 76] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
BACKGROUND Deposition of the beta-amyloid peptide Abeta(42) is thought to be an important initial step in the pathogenesis of Alzheimer disease (AD). Individuals with Down syndrome have increased levels of beta-amyloid peptides and an increased risk for AD. OBJECTIVE To examine the relation of plasma levels of Abeta(42) and Abeta(40) to the risk of dementia in nondemented participants and all-cause mortality in adults with Down syndrome. DESIGN Prospective, community-based longitudinal cohort study. SETTING State and voluntary service providers in New York State. PARTICIPANTS Adults with Down syndrome (N = 204). MAIN OUTCOME MEASURE Plasma Abeta(42) and Abeta(40) levels were measured at initial examination. Participants were assessed for cognitive and functional abilities, behavioral/psychiatric conditions, and health and vital status at 14- to 18-month intervals for 4 cycles of data collection. RESULTS Among participants who were nondemented at baseline, those in the middle and highest tertiles of plasma Abeta(42) levels were more than 2 times as likely to develop AD as those in the lowest tertile. Compared with participants without AD, participants with prevalent AD had higher levels of plasma Abeta(42) but not Abeta(40). Among all participants, those in the highest tertile of plasma Abeta(42) level at baseline were more than twice as likely to die during the study period as those in the lowest tertile, whereas there was no difference in risk of death between those in the middle and lowest tertiles of plasma Abeta(42) level. CONCLUSION Elevations in plasma Abeta(42) peptide levels are associated with earlier onset of AD and increased risk of death.
Collapse
Affiliation(s)
- Nicole Schupf
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, PO Box 16, 630 W 168th St, New York, NY 10032, USA.
| | | | | | | | | | | | | |
Collapse
|
41
|
Pomara N, Doraiswamy PM, Willoughby LM, Roth AE, Mulsant BH, Sidtis JJ, Mehta PD, Reynolds CF, Pollock BG. Elevation in plasma Abeta42 in geriatric depression: a pilot study. Neurochem Res 2006; 31:341-9. [PMID: 16583267 DOI: 10.1007/s11064-005-9029-z] [Citation(s) in RCA: 55] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/16/2005] [Indexed: 11/26/2022]
Abstract
Elevated plasma amyloid beta 1-42 (Abeta42) level has been linked to increased risk for incident AD in cognitively-intact elderly. However, plasma Abeta levels in individuals with late-life depression (LLMD), especially those with a late age of onset of first depressive episode, who are at a particularly increased risk for Alzheimer's disease, have not been studied. We compared plasma Abeta in 47 elderly with LLMD with 35 controls and examined its relationships to age of onset of first depressive episode, antidepressant treatment (paroxetine or nortriptyline), and indices of platelet activation (platelet factor 4 and beta-thromboglobulin) and brain abnormalities. Results indicated that plasma Abeta42 levels and the Abeta42/40 ratio were elevated in the LLMD group relative to controls in the overall group analyses and in the age- and gender-matched groups. MRI data indicated that higher Abeta42/40 ratio was associated with greater severity of total white matter hyperintensity burden in LLMD. Plasma Abeta levels in LLMD were not influenced by age of onset of first depressive episode or antidepressant treatment and were not related to indices of platelet activation. Our preliminary results suggest that increased plasma Abeta42 and Abeta42/40 ratio are present in geriatric depression, and future studies should be done to confirm these findings and to determine their relationship to cognitive decline and brain abnormalities associated with LLMD.
Collapse
Affiliation(s)
- Nunzio Pomara
- Geriatric Psychiatry Program, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, USA.
| | | | | | | | | | | | | | | | | |
Collapse
|