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Li R, Hui Y, Li J, Zhang X, Zhang S, Lv B, Ni Y, Li X, Liang X, Yang L, Lv H, Li H, Yang Y, Liu G, Xie G, Wu S, Wang Z. The association of global vessel width with cognitive decline and cerebral small vessel disease burden in the KaiLuan study. Quant Imaging Med Surg 2024; 14:932-943. [PMID: 38223087 PMCID: PMC10784051 DOI: 10.21037/qims-23-927] [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: 06/27/2023] [Accepted: 11/10/2023] [Indexed: 01/16/2024]
Abstract
Background As the retinal microvasculature shares similarities with the cerebral microvasculature, numerous studies have shown that retinal vascular is associated with cognitive decline. In addition, several population-based studies have confirmed the association between retinal vascular and cerebral small vessel disease (CSVD) burden. However, the association of retinal vascular with CSVD burden as well as cognitive function has not been explored simultaneously. This study investigated the relations of retinal microvascular parameters (RMPs) with CSVD burden and cognitive function. Methods We conducted a cross-sectional study of participants in the KaiLuan study. Data were collected from subjects aged ≥18 years old who could complete retinal photography and brain magnetic resonance imaging (MRI) between December 2020 to October 2021 in the Kailuan community of Tangshan. RMPs were evaluated using a deep learning system. The cognitive function was measured using the Montreal Cognitive Assessment (MoCA). We conducted logistic regression models, and mediation analysis to evaluate the associations of RMPs with CSVD burden and cognitive decline. Results Of the 905 subjects (mean age: 55.42±12.02 years, 54.5% female), 488 (53.9%) were classified with cognitive decline. The fractal dimension (FD) [odds ratio (OR), 0.098, 95% confidence interval (CI): 0.015-0.639, P=0.015] and global vein width (OR: 1.010, 95% CI: 1.005-1.015, P<0.001) were independent risk factors for cognitive decline after adjustment for potential confounding factors. The global artery width was significantly associated with severe CSVD burden (OR: 0.985, 95% CI: 0.974-0.997, P=0.013). The global vein width was sightly associated with severe CSVD burden (OR: 1.005, 95% CI: 1.000-1.010, P=0.050) after adjusting for potential confounders. The multivariable-adjusted odds ratios (95% CI) in highest tertile versus lowest tertile of global vein width were 1.290 (0.901-1.847) for cognitive decline and 1.546 (1.004-2.290) for severe CSVD burden, respectively. Moreover, CSVD burden played a partial mediating role in the association between global vein width and cognitive function (mediating effect 6.59%). Conclusions RMPs are associated with cognitive decline and the development of CSVD. A proportion of the association between global vein width and cognitive decline may be attributed to the presence of CSVD burden.
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Affiliation(s)
- Rui Li
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Ying Hui
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Jing Li
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | | | - Shun Zhang
- Department of Psychiatry, Kailuan Mental Health Centre, Tangshan, China
| | - Bin Lv
- Ping An Healthcare Technology, Beijing, China
| | - Yuan Ni
- Ping An Healthcare Technology, Beijing, China
| | - Xiaoshuai Li
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Xiaoliang Liang
- Department of Psychiatry, Kailuan Mental Health Centre, Tangshan, China
| | - Ling Yang
- School of Public Health, North China University of Science and Technology, Tangshan, China
| | - Han Lv
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Hongyang Li
- Department of Ophthalmology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Yingping Yang
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Guangfeng Liu
- Department of Ophthalmology, Peking University International Hospital, Beijing, China
| | - Guotong Xie
- Ping An Healthcare Technology, Beijing, China
| | - Shouling Wu
- Department of Cardiology, Kailuan General Hospital, Tangshan, China
| | - Zhenchang Wang
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
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2
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Ibrahim Y, Xie J, Macerollo A, Sardone R, Shen Y, Romano V, Zheng Y. A Systematic Review on Retinal Biomarkers to Diagnose Dementia from OCT/OCTA Images. J Alzheimers Dis Rep 2023; 7:1201-1235. [PMID: 38025800 PMCID: PMC10657718 DOI: 10.3233/adr-230042] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Accepted: 09/22/2023] [Indexed: 12/01/2023] Open
Abstract
Background Traditional methods for diagnosing dementia are costly, time-consuming, and somewhat invasive. Since the retina shares significant anatomical similarities with the brain, retinal abnormalities detected via optical coherence tomography (OCT) and OCT angiography (OCTA) have been studied as a potential non-invasive diagnostic tool for neurodegenerative disorders; however, the most effective retinal changes remain a mystery to be unraveled in this review. Objective This study aims to explore the relationship between retinal abnormalities in OCT/OCTA images and cognitive decline as well as evaluating biomarkers' effectiveness in detecting neurodegenerative diseases. Methods A systematic search was conducted on PubMed, Web of Science, and Scopus until December 2022, resulted in 64 papers using agreed search keywords, and inclusion/exclusion criteria. Results The superior peripapillary retinal nerve fiber layer (pRNFL) is a trustworthy biomarker to identify most Alzheimer's disease (AD) cases; however, it is inefficient when dealing with mild AD and mild cognitive impairment (MCI). The global pRNFL (pRNFL-G) is another reliable biomarker to discriminate frontotemporal dementia from mild AD and healthy controls (HCs), moderate AD and MCI from HCs, as well as identifing pathological Aβ42/tau in cognitively healthy individuals. Conversely, pRNFL-G fails to realize mild AD and the progression of AD. The average pRNFL thickness variation is considered a viable biomarker to monitor the progression of AD. Finally, the superior and average pRNFL thicknesses are considered consistent for advanced AD but not for early/mild AD. Conclusions Retinal changes may indicate dementia, but further research is needed to confirm the most effective biomarkers for early and mild AD.
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Affiliation(s)
- Yehia Ibrahim
- Department of Eye and Vision Sciences, University of Liverpool, Liverpool, UK
| | - Jianyang Xie
- Department of Eye and Vision Sciences, University of Liverpool, Liverpool, UK
| | - Antonella Macerollo
- Department of Pharmacology and Therapeutics, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK
- Department of Neurology, The Walton Centre NHS Foundation Trust, Liverpool, UK
| | - Rodolfo Sardone
- Department of Eye and Vision Sciences, University of Liverpool, Liverpool, UK
- Statistics and Epidemiology Unit, Local Healthcare Authority of Taranto, Taranto, Italy
| | - Yaochun Shen
- Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool, UK
| | - Vito Romano
- Department of Eye and Vision Sciences, University of Liverpool, Liverpool, UK
- Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, University of Brescia, Brescia, Italy
| | - Yalin Zheng
- Department of Eye and Vision Sciences, University of Liverpool, Liverpool, UK
- Liverpool Centre for Cardiovascular Science, University of Liverpool and Liverpool Heart and Chest Hospital, Liverpool, UK
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3
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Wang X, Jiao B, Liu H, Wang Y, Hao X, Zhu Y, Xu B, Xu H, Zhang S, Jia X, Xu Q, Liao X, Zhou Y, Jiang H, Wang J, Guo J, Yan X, Tang B, Zhao R, Shen L. Machine learning based on Optical Coherence Tomography images as a diagnostic tool for Alzheimer's disease. CNS Neurosci Ther 2022; 28:2206-2217. [PMID: 36089740 PMCID: PMC9627364 DOI: 10.1111/cns.13963] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Revised: 08/03/2022] [Accepted: 08/23/2022] [Indexed: 02/06/2023] Open
Abstract
AIMS We mainly evaluate retinal alterations in Alzheimer's disease (AD) patients, investigate the associations between retinal changes with AD biomarkers, and explore an optimal machine learning (ML) model for AD diagnosis based on retinal thickness. METHODS A total of 159 AD patients and 299 healthy controls were enrolled. The retinal parameters of each participant were measured using optical coherence tomography (OCT). Additionally, cognitive impairment severity, brain atrophy, and cerebrospinal fluid (CSF) biomarkers were measured in AD patients. RESULTS AD patients demonstrated a significant decrease in the average, superior, and inferior quadrant peripapillary retinal nerve fiber layer, macular retinal nerve fiber layer, ganglion cell layer (GCL), inner plexiform layer (IPL) thicknesses, as well as total macular volume (TMV) (all p < 0.05). Moreover, TMV was positively associated with Mini-Mental State Examination and Montreal Cognitive Assessment scores, IPL thickness was correlated negatively with the medial temporal lobe atrophy score, and the GCL thickness was positively correlated with CSF Aβ42 /Aβ40 and negatively associated with p-tau level. Based on the significantly decreased OCT variables between both groups, the XGBoost algorithm exhibited the best diagnostic performance for AD, whose four references, including accuracy, area under the curve, f1 score, and recall, ranged from 0.69 to 0.74. Moreover, the macular retinal thickness exhibited an absolute superiority for AD diagnosis compared with other enrolled variables in all ML models. CONCLUSION We identified the retinal alterations in AD patients and found that macular thickness and volume were associated with AD severity and biomarkers. Furthermore, we confirmed that OCT combined with ML could serve as a potential diagnostic tool for AD.
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Affiliation(s)
- Xin Wang
- Department of Neurology, Xiangya HospitalCentral South UniversityChangshaChina
| | - Bin Jiao
- Department of Neurology, Xiangya HospitalCentral South UniversityChangshaChina,National Clinical Research Center for Geriatric DisordersCentral South UniversityChangshaChina,Engineering Research Center of Hunan Province in Cognitive Impairment DisordersCentral South UniversityChangshaChina,Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic DiseasesChangshaChina,Key Laboratory of Hunan Province in Neurodegenerative DisordersCentral South UniversityChangshaChina
| | - Hui Liu
- Department of Neurology, Xiangya HospitalCentral South UniversityChangshaChina
| | - Yaqin Wang
- Health Management Center, the Third Xiangya HospitalCentral South UniversityChangshaChina
| | - Xiaoli Hao
- Department of Neurology, Xiangya HospitalCentral South UniversityChangshaChina
| | - Yuan Zhu
- Department of Neurology, Xiangya HospitalCentral South UniversityChangshaChina
| | - Bei Xu
- Eye Center of Xiangya HospitalCentral South UniversityChangshaChina
| | - Huizhuo Xu
- Eye Center of Xiangya HospitalCentral South UniversityChangshaChina
| | - Sizhe Zhang
- Department of Neurology, Xiangya HospitalCentral South UniversityChangshaChina
| | - Xiaoliang Jia
- School of Computer Science and EngineeringCentral South UniversityChangshaChina
| | - Qian Xu
- Department of Neurology, Xiangya HospitalCentral South UniversityChangshaChina,National Clinical Research Center for Geriatric DisordersCentral South UniversityChangshaChina,Engineering Research Center of Hunan Province in Cognitive Impairment DisordersCentral South UniversityChangshaChina,Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic DiseasesChangshaChina,Key Laboratory of Hunan Province in Neurodegenerative DisordersCentral South UniversityChangshaChina
| | - Xinxin Liao
- National Clinical Research Center for Geriatric DisordersCentral South UniversityChangshaChina,Engineering Research Center of Hunan Province in Cognitive Impairment DisordersCentral South UniversityChangshaChina,Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic DiseasesChangshaChina,Key Laboratory of Hunan Province in Neurodegenerative DisordersCentral South UniversityChangshaChina,Department of Geriatrics, Xiangya HospitalCentral South UniversityChangshaChina
| | - Yafang Zhou
- National Clinical Research Center for Geriatric DisordersCentral South UniversityChangshaChina,Engineering Research Center of Hunan Province in Cognitive Impairment DisordersCentral South UniversityChangshaChina,Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic DiseasesChangshaChina,Key Laboratory of Hunan Province in Neurodegenerative DisordersCentral South UniversityChangshaChina,Department of Geriatrics, Xiangya HospitalCentral South UniversityChangshaChina
| | - Hong Jiang
- Department of Neurology, Xiangya HospitalCentral South UniversityChangshaChina,National Clinical Research Center for Geriatric DisordersCentral South UniversityChangshaChina,Engineering Research Center of Hunan Province in Cognitive Impairment DisordersCentral South UniversityChangshaChina,Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic DiseasesChangshaChina,Key Laboratory of Hunan Province in Neurodegenerative DisordersCentral South UniversityChangshaChina
| | - Junling Wang
- Department of Neurology, Xiangya HospitalCentral South UniversityChangshaChina,National Clinical Research Center for Geriatric DisordersCentral South UniversityChangshaChina,Engineering Research Center of Hunan Province in Cognitive Impairment DisordersCentral South UniversityChangshaChina,Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic DiseasesChangshaChina,Key Laboratory of Hunan Province in Neurodegenerative DisordersCentral South UniversityChangshaChina
| | - Jifeng Guo
- Department of Neurology, Xiangya HospitalCentral South UniversityChangshaChina,National Clinical Research Center for Geriatric DisordersCentral South UniversityChangshaChina,Engineering Research Center of Hunan Province in Cognitive Impairment DisordersCentral South UniversityChangshaChina,Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic DiseasesChangshaChina,Key Laboratory of Hunan Province in Neurodegenerative DisordersCentral South UniversityChangshaChina
| | - Xinxiang Yan
- Department of Neurology, Xiangya HospitalCentral South UniversityChangshaChina,National Clinical Research Center for Geriatric DisordersCentral South UniversityChangshaChina,Engineering Research Center of Hunan Province in Cognitive Impairment DisordersCentral South UniversityChangshaChina,Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic DiseasesChangshaChina,Key Laboratory of Hunan Province in Neurodegenerative DisordersCentral South UniversityChangshaChina
| | - Beisha Tang
- Department of Neurology, Xiangya HospitalCentral South UniversityChangshaChina,National Clinical Research Center for Geriatric DisordersCentral South UniversityChangshaChina,Engineering Research Center of Hunan Province in Cognitive Impairment DisordersCentral South UniversityChangshaChina,Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic DiseasesChangshaChina,Key Laboratory of Hunan Province in Neurodegenerative DisordersCentral South UniversityChangshaChina
| | - Rongchang Zhao
- School of Computer Science and EngineeringCentral South UniversityChangshaChina
| | - Lu Shen
- Department of Neurology, Xiangya HospitalCentral South UniversityChangshaChina,National Clinical Research Center for Geriatric DisordersCentral South UniversityChangshaChina,Engineering Research Center of Hunan Province in Cognitive Impairment DisordersCentral South UniversityChangshaChina,Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic DiseasesChangshaChina,Key Laboratory of Hunan Province in Neurodegenerative DisordersCentral South UniversityChangshaChina,Key Laboratory of Organ InjuryAging and Regenerative Medicine of Hunan ProvinceChangshaChina
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4
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Jeevakumar V, Sefton R, Chan J, Gopinath B, Liew G, Shah TM, Siette J. Association between retinal markers and cognition in older adults: a systematic review. BMJ Open 2022; 12:e054657. [PMID: 35728906 PMCID: PMC9214387 DOI: 10.1136/bmjopen-2021-054657] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
OBJECTIVES To appraise the existing literature reporting an association between retinal markers and cognitive impairment in adults aged 65 years and over and to provide directions for future use of retinal scanning as a potential tool for dementia diagnosis. DESIGN Systematic review of peer-reviewed empirical articles investigating the association of retinal markers in assessing cognitive impairment. DATA SOURCES Three electronic databases, Medline, PsycINFO and EMBASE were searched from inception until March 2022. ELIGIBILITY CRITERIA All empirical articles in English investigating the association between retinal markers and cognition in humans aged ≥65 years using various retinal scanning methodologies were included. Studies with no explicit evaluation of retinal scanning and cognitive outcomes were excluded. Risk of bias was assessed using the Quality Assessment of Diagnostic Accuracy Studies tool. DATA EXTRACTION AND SYNTHESIS Data extraction was conducted by two authors (VJ, RS) and reviewed by another author (JS). Results were synthesised and described narratively. RESULTS Sixty-seven eligible studies examining 6815 older adults were included. Majority of studies were cross-sectional (n=60; 89.6%). Optical coherence tomography (OCT) was the most commonly used retinal scanning methodology to measure the thickness of retinal nerve fibre layer, the ganglion cell complex, choroid and macula. 51.1% of cross-sectional studies using OCT reported an association between the thinning of at least one retinal parameter and poor cognition. Longitudinal studies (n=6) using OCT also mostly identified significant reductions in retinal nerve fibre layer thickness with cognitive decline. Study quality was overall moderate. CONCLUSION Retinal nerve fibre layer thickness is linked with cognitive performance and therefore may have the potential to detect cognitive impairment in older adults. Further longitudinal studies are required to validate our synthesis and understand underlying mechanisms before recommending implementation of OCT as a dementia screening tool in clinical practice. PROSPERO REGISTRATION NUMBER CRD42020176757.
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Affiliation(s)
- Varshanie Jeevakumar
- Australian Institute of Health Innovation, Macquarie University, Macquarie Park, New South Wales, Australia
| | - Rebekah Sefton
- Australian Institute of Health Innovation, Macquarie University, Macquarie Park, New South Wales, Australia
| | - Joyce Chan
- New Look Eyewear, Maitland, New South Wales, Australia
| | - Bamini Gopinath
- Department of Linguistics, Australian Hearing Hub, Macquarie University, Macquarie Park, New South Wales, Australia
| | - Gerald Liew
- Centre for Vision Research, The University of Sydney, Sydney, New South Wales, Australia
| | - Tejal M Shah
- Macquarie Medical School, Macquarie University, North Ryde, New South Wales, Australia
| | - Joyce Siette
- Australian Institute of Health Innovation, Macquarie University, Macquarie Park, New South Wales, Australia
- MARCS Institute for Brain, Behaviour and Development, Western Sydney University, Westmead, New South Wales, Australia
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5
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Ocular Vascular Changes: Choroidal Thickness as an Early Biomarker for Alzheimer's Disease? J Pers Med 2021; 11:jpm11121365. [PMID: 34945837 PMCID: PMC8703410 DOI: 10.3390/jpm11121365] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Accepted: 12/12/2021] [Indexed: 11/17/2022] Open
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6
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Abstract
There has been increasing interest in finding non-invasive biomarkers for neurodegenerative diseases such as Alzheimer's disease (AD). This observational study investigated AD-specific biomarkers in tear fluid. Tear fluid was collected from a total of 65 subjects, including 23 patients with subjective cognitive decline (SCD), 22 patients with mild cognitive impairment (MCI), 11 dementia patients and 9 healthy controls (HC). Levels of amyloid-beta peptides (AB38, AB40, AB42), total-tau (t-tau) and phosphorylated-tau (p-tau) were determined using multiplex immunoassays. Levels of AB40 and t-tau were detectable in the vast majority (> 94%) of tear fluid samples. Cerebrospinal fluid (CSF) was available from a subset of patients. In this group, tear t-tau levels were significantly higher in people with dementia compared to SCD patients. Tear t-tau levels were elevated in patients with neurodegeneration (classified according to the A/T/N system) compared to patients without neurodegeneration. Negative correlations were found between CSF AB42 and CSF t-tau, and between CSF AB42 and tear t-tau. In summary, this study shows the potential of tau proteins in tear fluid to be associated with disease severity and neurodegeneration.
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Gijs M, Ramakers IHGB, Visser PJ, Verhey FRJ, van de Waarenburg MPH, Schalkwijk CG, Nuijts RMMA, Webers CAB. Association of tear fluid amyloid and tau levels with disease severity and neurodegeneration. Sci Rep 2021; 11:22675. [PMID: 34811435 PMCID: PMC8608861 DOI: 10.1038/s41598-021-01993-x] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Accepted: 11/08/2021] [Indexed: 02/07/2023] Open
Abstract
There has been increasing interest in finding non-invasive biomarkers for neurodegenerative diseases such as Alzheimer's disease (AD). This observational study investigated AD-specific biomarkers in tear fluid. Tear fluid was collected from a total of 65 subjects, including 23 patients with subjective cognitive decline (SCD), 22 patients with mild cognitive impairment (MCI), 11 dementia patients and 9 healthy controls (HC). Levels of amyloid-beta peptides (AB38, AB40, AB42), total-tau (t-tau) and phosphorylated-tau (p-tau) were determined using multiplex immunoassays. Levels of AB40 and t-tau were detectable in the vast majority (> 94%) of tear fluid samples. Cerebrospinal fluid (CSF) was available from a subset of patients. In this group, tear t-tau levels were significantly higher in people with dementia compared to SCD patients. Tear t-tau levels were elevated in patients with neurodegeneration (classified according to the A/T/N system) compared to patients without neurodegeneration. Negative correlations were found between CSF AB42 and CSF t-tau, and between CSF AB42 and tear t-tau. In summary, this study shows the potential of tau proteins in tear fluid to be associated with disease severity and neurodegeneration.
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Affiliation(s)
- Marlies Gijs
- University Eye Clinic Maastricht, Maastricht University Medical Center (MUMC+), School for Mental Health and Neuroscience, Maastricht University, P. Debyelaan 25, 6229 HX, Maastricht, The Netherlands.
| | - Inez H G B Ramakers
- Department of Psychiatry and Neuropsychology, Alzheimer Center Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - Pieter Jelle Visser
- Department of Psychiatry and Neuropsychology, Alzheimer Center Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands.,Department of Neurology, Alzheimer Center Amsterdam, Vrije Universiteit Medical Center, Neuroscience Campus Amsterdam, Amsterdam, The Netherlands
| | - Frans R J Verhey
- Department of Psychiatry and Neuropsychology, Alzheimer Center Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - Marjo P H van de Waarenburg
- Department of Internal Medicine, School for Cardiovascular Diseases (CARIM), Maastricht University Medical Center, Maastricht, The Netherlands
| | - Casper G Schalkwijk
- Department of Internal Medicine, School for Cardiovascular Diseases (CARIM), Maastricht University Medical Center, Maastricht, The Netherlands
| | - Rudy M M A Nuijts
- University Eye Clinic Maastricht, Maastricht University Medical Center (MUMC+), School for Mental Health and Neuroscience, Maastricht University, P. Debyelaan 25, 6229 HX, Maastricht, The Netherlands
| | - Carroll A B Webers
- University Eye Clinic Maastricht, Maastricht University Medical Center (MUMC+), School for Mental Health and Neuroscience, Maastricht University, P. Debyelaan 25, 6229 HX, Maastricht, The Netherlands
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8
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Kreeke JA, Nguyen HT, Konijnenberg E, Tomassen J, Braber A, Kate M, Yaqub M, Berckel B, Lammertsma AA, Boomsma DI, Tan HS, Visser PJ, Verbraak FD. Longitudinal retinal layer changes in preclinical Alzheimer's disease. Acta Ophthalmol 2021; 99:538-544. [PMID: 33073531 PMCID: PMC8451744 DOI: 10.1111/aos.14640] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2020] [Revised: 06/21/2020] [Accepted: 09/09/2020] [Indexed: 12/15/2022]
Abstract
Purpose Several studies found reduced retinal thickness on optical coherence tomography (OCT) in Alzheimer’s disease (AD), even in preclinical stages, labelling this technique of interest as biomarker. In this study, we examine retinal thickness changes in preclinical AD, as defined by cognitively normal individuals with amyloid‐beta (Aβ) on positron emission tomography (PET). Methods For this monocentre study, 145 cognitively healthy monozygotic twins aged ≥ 60 were included from the Netherlands Twin Register taking part in the EMIF‐AD PreclinAD study. At baseline, participants underwent [18F] flutemetamol PET that was visually rated for cortical Aβ. Binding potential was calculated as continuous measure for Aβ. Optical coherence tomography (OCT) was performed at baseline and after 22 months to assess changes in total and individual inner retinal layer thickness in the macular region (ETDRS circles) and peripapillary retinal nerve fibre layer thickness. Differences in rate of change between amyloid‐beta positive and negative individuals and associations between binding potential and change in retinal thickness were evaluated. Results Sixteen participants (11%) were positive for Aβ. Change in retinal thickness did not differ in any region between Aβ+ and Aβ− individuals. A positive association between binding potential and change in inner plexiform layer thickness was observed in the inner macular ring (beta = 1.708, CI = 0.575 to 2.841, p = 0.003). Conclusion Aβ+ individuals did not differ in rate of change of any retinal layer compared to controls, but higher binding potential at baseline was associated with less IPL thinning over time. Optical coherence tomography (OCT) as a longitudinal screening tool for preclinical AD seems limited, but IPL changes offer leads for further research.
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Affiliation(s)
- Jacoba A. Kreeke
- Ophthalmology Dept. Amsterdam UMC, location VUmc Amsterdam The Netherlands
| | - Hoang Ton Nguyen
- Ophthalmology Dept. Amsterdam UMC, location VUmc Amsterdam The Netherlands
| | - Elles Konijnenberg
- Alzheimer Center Neuroscience Amsterdam Amsterdam UMC, location VUmc Amsterdam The Netherlands
| | - Jori Tomassen
- Alzheimer Center Neuroscience Amsterdam Amsterdam UMC, location VUmc Amsterdam The Netherlands
| | - Anouk Braber
- Alzheimer Center Neuroscience Amsterdam Amsterdam UMC, location VUmc Amsterdam The Netherlands
- Dept. of Biological Psychology VU University Amsterdam Amsterdam The Netherlands
| | - Mara Kate
- Alzheimer Center Neuroscience Amsterdam Amsterdam UMC, location VUmc Amsterdam The Netherlands
- Department of Radiology and Nuclear Medicine Amsterdam UMC, location VUmc Amsterdam The Netherlands
| | - Maqsood Yaqub
- Department of Radiology and Nuclear Medicine Amsterdam UMC, location VUmc Amsterdam The Netherlands
| | - Bart Berckel
- Department of Radiology and Nuclear Medicine Amsterdam UMC, location VUmc Amsterdam The Netherlands
| | - Adriaan A. Lammertsma
- Department of Radiology and Nuclear Medicine Amsterdam UMC, location VUmc Amsterdam The Netherlands
| | - Dorret I. Boomsma
- Dept. of Biological Psychology VU University Amsterdam Amsterdam The Netherlands
| | - H. Stevie Tan
- Ophthalmology Dept. Amsterdam UMC, location VUmc Amsterdam The Netherlands
| | - Pieter Jelle Visser
- Alzheimer Center Neuroscience Amsterdam Amsterdam UMC, location VUmc Amsterdam The Netherlands
| | - Frank D. Verbraak
- Ophthalmology Dept. Amsterdam UMC, location VUmc Amsterdam The Netherlands
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9
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Chalkias E, Topouzis F, Tegos T, Tsolaki M. The Contribution of Ocular Biomarkers in the Differential Diagnosis of Alzheimer's Disease versus Other Types of Dementia and Future Prospects. J Alzheimers Dis 2021; 80:493-504. [PMID: 33554918 DOI: 10.3233/jad-201516] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
With dementia becoming increasingly prevalent, there is a pressing need to become better equipped with accurate diagnostic tools that will favorably influence its course via prompt and specific intervention. The overlap in clinical manifestation, imaging, and even pathological findings between different dementia syndromes is one of the most prominent challenges today even for expert physicians. Since cerebral microvasculature and the retina share common characteristics, the idea of identifying potential ocular biomarkers to facilitate diagnosis is not a novel one. Initial efforts included studying less quantifiable parameters such as aspects of visual function, extraocular movements, and funduscopic findings. However, the really exciting prospect of a non-invasive, safe, fast, reproducible, and quantifiable method of pinpointing novel biomarkers has emerged with the advent of optical coherence tomography (OCT) and, more recently, OCT angiography (OCTA). The possibility of analyzing multiple parameters of retinal as well as retinal microvasculature variables in vivo represents a promising opportunity to investigate whether specific findings can be linked to certain subtypes of dementia and aid in their earlier diagnosis. The existing literature on the contribution of the eye in characterizing dementia, with a special interest in OCT and OCTA parameters will be reviewed and compared, and we will explicitly focus our effort in advancing our understanding and knowledge of relevant biomarkers to facilitate future research in the differential diagnosis between Alzheimer's disease and common forms of cognitive impairment, including vascular dementia, frontotemporal dementia, and dementia with Lewy bodies.
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Affiliation(s)
- Efthymios Chalkias
- A' Ophthalmology Department, AHEPA University Hospital, Thessaloniki, Greece
| | - Fotis Topouzis
- A' Ophthalmology Department, AHEPA University Hospital, Thessaloniki, Greece
| | - Thomas Tegos
- 1st Neurology Department, AHEPA University Hospital, Thessaloniki, Greece
| | - Magda Tsolaki
- 1st Neurology Department, AHEPA University Hospital, Thessaloniki, Greece
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10
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Galvin JE, Kleiman MJ, Walker M. Using Optical Coherence Tomography to Screen for Cognitive Impairment and Dementia. J Alzheimers Dis 2021; 84:723-736. [PMID: 34569948 PMCID: PMC10731579 DOI: 10.3233/jad-210328] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Screening for Alzheimer's disease and related disorders (ADRD) and mild cognitive impairment (MCI) could increase case identification, enhance clinical trial enrollment, and enable early intervention. MCI and ADRD screening would be most beneficial if detection measures reflect neurodegenerative changes. Optical coherence tomography (OCT) could be a marker of neurodegeneration (part of the amyloid-tau-neurodegeneration (ATN) framework). OBJECTIVE To determine whether OCT measurements can be used as a screening measure to detect individuals with MCI and ADRD. METHODS A retrospective cross-sectional study was performed on 136 participants with comprehensive clinical, cognitive, functional, and behavioral evaluations including OCT with a subset (n = 76) completing volumetric MRI. Pearson correlation coefficients tested strength of association between OCT and outcome measures. Receiver operator characteristic curves assessed the ability of OCT, patient-reported outcomes, and cognitive performance measures to discriminate between individuals with and without cognitive impairment. RESULTS After controlling for age, of the 6 OCT measurements collected, granular cell layer-inner plexiform layer (GCL + IPL) thickness best correlated with memory, global cognitive performance, Clinical Dementia Rating, and hippocampal atrophy. GCL + IPL thickness provided good discrimination in cognitive status with a cut-off score of 75μm. Combining GCL + IPL thickness as a proxy marker for hippocampal atrophy with a brief patient-reported outcome and performance measure correctly classified 87%of MCI and ADRD participants. CONCLUSION Multimodal approaches may improve recognition of MCI and ADRD. OCT has the potential to be a practical, non-invasive biomarker for ADRD providing a screening platform to quickly identify at-risk individuals for further clinical evaluation or research enrollment.
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Affiliation(s)
- James E. Galvin
- Comprehensive Center for Brain Health, Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, USA
- Department of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Michael J. Kleiman
- Comprehensive Center for Brain Health, Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Marcia Walker
- Comprehensive Center for Brain Health, Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, USA
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