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Sampani K, Ness S, Tuz-Zahra F, Aytan N, Spurlock EE, Alluri S, Chen X, Siegel NH, Alosco ML, Xia W, Tripodis Y, Stein TD, Subramanian ML. Neurodegenerative biomarkers in different chambers of the eye relative to plasma: an agreement validation study. Alzheimers Res Ther 2024; 16:192. [PMID: 39187891 PMCID: PMC11346268 DOI: 10.1186/s13195-024-01556-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2024] [Accepted: 08/11/2024] [Indexed: 08/28/2024]
Abstract
BACKGROUND Protein biomarkers have been broadly investigated in cerebrospinal fluid and blood for the detection of neurodegenerative diseases, yet a clinically useful diagnostic test to detect early, pre-symptomatic Alzheimer's disease (AD) remains elusive. We conducted this study to quantify Aβ40, Aβ42, total Tau (t-Tau), hyperphosphorylated Tau (ptau181), glial fibrillary acidic protein (GFAP) and neurofilament light chain (NfL) in eye fluids relative to blood. METHODS In this cross-sectional study we collected vitreous humor, aqueous humor, tear fluid and plasma in patients undergoing surgery for eye disease. All six biomarkers were quantitatively measured by digital immunoassay. Spearman and Bland-Altman correlation analyses were performed to assess the agreement of levels between ocular fluids and plasma. RESULTS Seventy-nine adults underwent pars-plana vitrectomy in at least one eye. Of the 79, there were 77 vitreous, 67 blood, 56 tear fluid, and 51 aqueous samples. All six biomarkers were quantified in each bio-sample, except GFAP and NfL in tear fluid due to low sample volume. All six biomarkers were elevated in vitreous humor compared to plasma samples. T-Tau, ptau181, GFAP and NfL were higher in aqueous than in plasma, and t-Tau and ptau181 concentrations were higher in tear fluid than in plasma. Significant correlations were found between Aβ40 in plasma and tears (r = 0.5; p = 0.019), t-Tau in plasma and vitreous (r = 0.4; p = 0.004), NfL in plasma and vitreous (r = 0.3; p = 0.006) and plasma and aqueous (r = 0.5; p = 0.004). No significant associations were found for Aβ42, ptau181 and GFAP among ocular fluids relative to plasma. Bland-Altman analysis showed aqueous humor had the closest agreement to plasma across all biomarkers. Biomarker levels in ocular fluids revealed statistically significant associations between vitreous and aqueous for t-Tau (r = 0.5; p = 0.001), GFAP (r = 0.6; p < 0.001) and NfL (r = 0.7; p < 0.001). CONCLUSION AD biomarkers are detectable in greater quantities in eye fluids than in plasma and show correlations with levels in plasma. Future studies are needed to assess the utility of ocular fluid biomarkers as diagnostic and prognostic markers for AD, especially in those at risk with eye disease.
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Affiliation(s)
- Konstantina Sampani
- Beetham Eye Institute, Joslin Diabetes Center, Boston, MA, 02115, USA
- Department of Medicine, Harvard Medical School, Boston, MA, 02115, USA
| | - Steven Ness
- Department of Ophthalmology, Boston Medical Center, Boston, MA, 02118, USA
- Department of Ophthalmology, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, USA
| | - Fatima Tuz-Zahra
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Nurgul Aytan
- Boston University Alzheimer's Disease Research Center and CTE Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Elizabeth E Spurlock
- Boston University Alzheimer's Disease Research Center and CTE Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Sreevardhan Alluri
- Department of Ophthalmology, Boston Medical Center, Boston, MA, 02118, USA
| | - Xuejing Chen
- Department of Ophthalmology, Boston Medical Center, Boston, MA, 02118, USA
- Department of Ophthalmology, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, USA
| | - Nicole H Siegel
- Department of Ophthalmology, Boston Medical Center, Boston, MA, 02118, USA
- Department of Ophthalmology, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, USA
| | - Michael L Alosco
- Boston University Alzheimer's Disease Research Center and CTE Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Psychology, University of Arizona, Tucson, AZ, USA
| | - Weiming Xia
- Department of Pharmacology and Experimental Therapeutics, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Geriatric Research Education and Clinical Center, Bedford Veterans Affairs Medical Center, Bedford, MA, USA
| | - Yorghos Tripodis
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- Boston University Alzheimer's Disease Research Center and CTE Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Thor D Stein
- Boston University Alzheimer's Disease Research Center and CTE Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.
- Department of Pathology and Laboratory Medicine, Boston Medical Center, Boston University School of Medicine, Boston, MA, USA.
- Department of Veterans Affairs Medical Center, VA Boston Healthcare System, Boston, MA, USA.
- Department of Veterans Affairs Medical Center, VA Bedford Healthcare System, Bedford, MA, USA.
| | - Manju L Subramanian
- Department of Ophthalmology, Boston Medical Center, Boston, MA, 02118, USA.
- Department of Ophthalmology, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, USA.
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Bahr T, Vu TA, Tuttle JJ, Iezzi R. Deep Learning and Machine Learning Algorithms for Retinal Image Analysis in Neurodegenerative Disease: Systematic Review of Datasets and Models. Transl Vis Sci Technol 2024; 13:16. [PMID: 38381447 PMCID: PMC10893898 DOI: 10.1167/tvst.13.2.16] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Accepted: 11/26/2023] [Indexed: 02/22/2024] Open
Abstract
Purpose Retinal images contain rich biomarker information for neurodegenerative disease. Recently, deep learning models have been used for automated neurodegenerative disease diagnosis and risk prediction using retinal images with good results. Methods In this review, we systematically report studies with datasets of retinal images from patients with neurodegenerative diseases, including Alzheimer's disease, Huntington's disease, Parkinson's disease, amyotrophic lateral sclerosis, and others. We also review and characterize the models in the current literature which have been used for classification, regression, or segmentation problems using retinal images in patients with neurodegenerative diseases. Results Our review found several existing datasets and models with various imaging modalities primarily in patients with Alzheimer's disease, with most datasets on the order of tens to a few hundred images. We found limited data available for the other neurodegenerative diseases. Although cross-sectional imaging data for Alzheimer's disease is becoming more abundant, datasets with longitudinal imaging of any disease are lacking. Conclusions The use of bilateral and multimodal imaging together with metadata seems to improve model performance, thus multimodal bilateral image datasets with patient metadata are needed. We identified several deep learning tools that have been useful in this context including feature extraction algorithms specifically for retinal images, retinal image preprocessing techniques, transfer learning, feature fusion, and attention mapping. Importantly, we also consider the limitations common to these models in real-world clinical applications. Translational Relevance This systematic review evaluates the deep learning models and retinal features relevant in the evaluation of retinal images of patients with neurodegenerative disease.
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Affiliation(s)
- Tyler Bahr
- Mayo Clinic, Department of Ophthalmology, Rochester, MN, USA
| | - Truong A. Vu
- University of the Incarnate Word, School of Osteopathic Medicine, San Antonio, TX, USA
| | - Jared J. Tuttle
- University of Texas Health Science Center at San Antonio, Joe R. and Teresa Lozano Long School of Medicine, San Antonio, TX, USA
| | - Raymond Iezzi
- Mayo Clinic, Department of Ophthalmology, Rochester, MN, USA
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Li C, Zhu X, Yang K, Ju Y, Shi K, Xiao Y, Su B, Lu F, Cui L, Li M. Relationship of retinal capillary plexus and ganglion cell complex with mild cognitive impairment and dementia. Eye (Lond) 2023; 37:3743-3750. [PMID: 37270614 PMCID: PMC10698172 DOI: 10.1038/s41433-023-02592-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 05/08/2023] [Accepted: 05/17/2023] [Indexed: 06/05/2023] Open
Abstract
OBJECTIVE To investigate relationship of the retinal capillary plexus (RCP) and ganglion cell complex (GCC) with mild cognitive impairment (MCI) and dementia in a community-based study1. METHODS This cross-sectional study incorporated the participants of the Jidong Eye Cohort Study. Optical coherence tomography angiography was performed to obtain RCP vessel density and GCC thickness with detailed segments. The Mini-mental State Examination and Montreal Cognitive Assessment were used to assess cognitive status by professional neuropsychologists. Participants were thus divided into three groups: normal, mild cognitive impairment, and dementia. Multivariable analysis was used to measure relationship of ocular parameters with cognitive impairment. RESULTS Of the 2678 participants, the mean age was 44.1 ± 11.7 years. MCI and dementia occurred in 197 (7.4%) and 80 (3%) participants, respectively. Compared to the normal group, the adjusted odds ratio (OR) with the 95% confidence interval was 0.76 (0.65-0.90) for the correlation of lower deep RCP with MCI. We found the following items significantly associated with dementia compared with the normal group: a superficial (OR, 0.68 [0.54-0.86]) and deep (OR, 0.75 [0.57-0.99]) RCP, as well as the GCC (OR, 0.68 [0.54-0.85]). Compared to the MCI group, those with dementia had decreased GCC (OR, 0.75 [0.58-0.97]). CONCLUSIONS Decreased deep RCP density was associated with MCI. Decreased superficial and deep RCP and the thin GCC were correlated with dementia. These implied that the retinal microvasculature may develop into a promising non-invasive imaging marker to predict severity of cognitive impairment.
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Affiliation(s)
- Chunmei Li
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, 325027, China
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou, 325027, China
- National Engineering Research Center of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou, 325027, China
| | - Xiaoxuan Zhu
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, 325027, China
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou, 325027, China
- National Engineering Research Center of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou, 325027, China
| | - Kai Yang
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, 325027, China
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou, 325027, China
- National Engineering Research Center of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou, 325027, China
| | - Ying Ju
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, 325027, China
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou, 325027, China
- National Engineering Research Center of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou, 325027, China
| | - Keai Shi
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, 325027, China
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou, 325027, China
- National Engineering Research Center of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou, 325027, China
| | - Yunfan Xiao
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, 325027, China
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou, 325027, China
- National Engineering Research Center of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou, 325027, China
| | - Binbin Su
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, 325027, China
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou, 325027, China
- National Engineering Research Center of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou, 325027, China
| | - Fan Lu
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, 325027, China.
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou, 325027, China.
- National Engineering Research Center of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou, 325027, China.
| | - Lele Cui
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, 325027, China.
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou, 325027, China.
- National Engineering Research Center of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou, 325027, China.
| | - Ming Li
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, 325027, China.
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou, 325027, China.
- National Engineering Research Center of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou, 325027, China.
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Liu S. Does dysthyroid optic neuropathy affect beyond the windows to the soul? Eur Radiol 2023; 33:7978-7980. [PMID: 37740086 DOI: 10.1007/s00330-023-10239-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2023] [Revised: 08/25/2023] [Accepted: 08/31/2023] [Indexed: 09/24/2023]
Affiliation(s)
- Siwei Liu
- Centre for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
- Centre for Translational Magnetic Resonance Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
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Chen S, Zhang D, Zheng H, Cao T, Xia K, Su M, Meng Q. The association between retina thinning and hippocampal atrophy in Alzheimer's disease and mild cognitive impairment: a meta-analysis and systematic review. Front Aging Neurosci 2023; 15:1232941. [PMID: 37680540 PMCID: PMC10481874 DOI: 10.3389/fnagi.2023.1232941] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Accepted: 07/31/2023] [Indexed: 09/09/2023] Open
Abstract
Introduction The retina is the "window" of the central nervous system. Previous studies discovered that retinal thickness degenerates through the pathological process of the Alzheimer's disease (AD) continuum. Hippocampal atrophy is one of the typical clinical features and diagnostic criteria of AD. Former studies have described retinal thinning in normal aging subjects and AD patients, yet the association between retinal thickness and hippocampal atrophy in AD is unclear. The optical coherence tomography (OCT) technique has access the non-invasive to retinal images and magnetic resonance imaging can outline the volume of the hippocampus. Thus, we aim to quantify the correlation between these two parameters to identify whether the retina can be a new biomarker for early AD detection. Methods We systematically searched the PubMed, Embase, and Web of Science databases from inception to May 2023 for studies investigating the correlation between retinal thickness and hippocampal volume. The Newcastle-Ottawa Quality Assessment Scale (NOS) was used to assess the study quality. Pooled correlation coefficient r values were combined after Fisher's Z transformation. Moderator effects were detected through subgroup analysis and the meta-regression method. Results Of the 1,596 citations initially identified, we excluded 1,062 studies after screening the titles and abstract (animal models, n = 99; irrelevant literature, n = 963). Twelve studies met the inclusion criteria, among which three studies were excluded due to unextractable data. Nine studies were eligible for this meta-analysis. A positive moderate correlation between the retinal thickness was discovered in all participants of with AD, mild cognitive impairment (MCI), and normal controls (NC) (r = 0.3469, 95% CI: 0.2490-0.4377, I2 = 5.0%), which was significantly higher than that of the AD group (r = 0.1209, 95% CI:0.0905-0.1510, I2 = 0.0%) (p < 0.05). Among different layers, the peripapillary retinal nerve fiber layer (pRNFL) indicated a moderate positive correlation with hippocampal volume (r = 0.1209, 95% CI:0.0905-0.1510, I2 = 0.0%). The retinal pigmented epithelium (RPE) was also positively correlated [r = 0.1421, 95% CI:(-0.0447-0.3192), I2 = 84.1%]. The retinal layers and participants were the main overall heterogeneity sources. Correlation in the bilateral hemisphere did not show a significant difference. Conclusion The correlation between RNFL thickness and hippocampal volume is more predominant in both NC and AD groups than other layers. Whole retinal thickness is positively correlated to hippocampal volume not only in AD continuum, especially in MCI, but also in NC. Systematic review registration https://www.crd.york.ac.uk/PROSPERO/, CRD42022328088.
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Affiliation(s)
- Shuntai Chen
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Dian Zhang
- Department of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Honggang Zheng
- Department of Oncology, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Tianyu Cao
- Department of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Kun Xia
- Department of Respiratory, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Mingwan Su
- Department of Respiratory, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Qinggang Meng
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
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Barrett-Young A, Ambler A, Cheyne K, Guiney H, Kokaua J, Tham YC, Williams MJA, Wilson GA, Wong TY, Poulton R. Childhood Social Isolation as a Predictor of Retinal Neuronal Thickness in Middle Age: A Lifecourse Birth Cohort Study. Psychosom Med 2023; 85:238-249. [PMID: 36800261 PMCID: PMC10073287 DOI: 10.1097/psy.0000000000001177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/18/2023]
Abstract
OBJECTIVE We investigated whether childhood social isolation was associated with retinal neural layer changes in adulthood, and whether this association was independent of other childhood or adulthood risk factors, including adult social isolation. METHODS Participants were members of the Dunedin Multidisciplinary Health and Development Study, a longitudinal population-based birth cohort from Aotearoa New Zealand ( n = 1037), born 1972 to 1973 and followed until age 45 years, with 94% of the living cohort still participating. Social isolation was recorded prospectively at ages 5, 7, 9, and 11 years, from teacher and parent report. Retinal nerve fiber layer (RNFL) and ganglion cell-inner plexiform layer thicknesses were measured via optical coherence tomography at age 45 years. RESULTS Childhood social isolation was associated with thinner average RNFL ( B = -0.739, p = .02), nasal RNFL ( B = -1.118, p = .005), and inferior RNFL ( B = -1.524, p = .007), although only nasal RNFL remained significant after adjustment. These associations were not fully explained by other psychosocial or physical health risk factors in childhood or adulthood, nor were they mediated by adult loneliness or social support. CONCLUSIONS Childhood social isolation was an independent predictor of RNFL thickness in middle age. Highlighting prospective links between childhood psychosocial adversity and retinal neuronal measures will help to inform future research into the utility of retinal neuronal thickness as a biomarker for neurodegeneration.
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Affiliation(s)
- Ashleigh Barrett-Young
- Dunedin Multidisciplinary Health and Development Research Unit, University of Otago, Dunedin, New Zealand
- Department of Psychology, University of Otago, Dunedin, New Zealand
| | - Antony Ambler
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Kirsten Cheyne
- Dunedin Multidisciplinary Health and Development Research Unit, University of Otago, Dunedin, New Zealand
- Department of Psychology, University of Otago, Dunedin, New Zealand
| | - Hayley Guiney
- Dunedin Multidisciplinary Health and Development Research Unit, University of Otago, Dunedin, New Zealand
- Department of Psychology, University of Otago, Dunedin, New Zealand
| | - Jesse Kokaua
- Dunedin Multidisciplinary Health and Development Research Unit, University of Otago, Dunedin, New Zealand
- Va’a O Tautai—Centre for Pacific Health, University of Otago, Dunedin, New Zealand
| | - Yih Chung Tham
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
- Duke-NUS Medical School, Singapore
| | | | - Graham A. Wilson
- Department of Medicine, Otago Medical School, University of Otago, Dunedin, New Zealand
| | - Tien Yin Wong
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
- Duke-NUS Medical School, Singapore
| | - Richie Poulton
- Dunedin Multidisciplinary Health and Development Research Unit, University of Otago, Dunedin, New Zealand
- Department of Psychology, University of Otago, Dunedin, New Zealand
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Hu Z, Wang L, Zhu D, Qin R, Sheng X, Ke Z, Shao P, Zhao H, Xu Y, Bai F. Retinal Alterations as Potential Biomarkers of Structural Brain Changes in Alzheimer’s Disease Spectrum Patients. Brain Sci 2023; 13:brainsci13030460. [PMID: 36979270 PMCID: PMC10046312 DOI: 10.3390/brainsci13030460] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2023] [Revised: 03/02/2023] [Accepted: 03/06/2023] [Indexed: 03/11/2023] Open
Abstract
Retinal imaging being a potential biomarker for Alzheimer’s disease is gradually attracting the attention of researchers. However, the association between retinal parameters and AD neuroimaging biomarkers, particularly structural changes, is still unclear. In this cross-sectional study, we recruited 25 cognitively impaired (CI) and 21 cognitively normal (CN) individuals. All subjects underwent retinal layer thickness and microvascular measurements with optical coherence tomography angiography (OCTA). Gray matter and white matter (WM) data such as T1-weighted magnetic resonance imaging and diffusion tensor imaging, respectively, were also collected. In addition, hippocampal subfield volumes and WM tract microstructural alterations were investigated as classical AD neuroimaging biomarkers. The microvascular and retinal features and their correlation with brain structural imaging markers were further analyzed. We observed a reduction in vessel density (VD) at the inferior outer (IO) sector (p = 0.049), atrophy in hippocampal subfield volumes, such as the subiculum (p = 0.012), presubiculum (p = 0.015), molecular_layer_HP (p = 0.033), GC-ML-DG (p = 0.043) and whole hippocampus (p = 0.033) in CI patients. Altered microstructural integrity of WM tracts in CI patients was also discovered in the cingulum hippocampal part (CgH). Importantly, we detected significant associations between retinal VD and gray matter volumes of the hippocampal subfield in CI patients. These findings suggested that the retinal microvascular measures acquired by OCTA may be markers for the early prediction of AD-related structural brain changes.
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Affiliation(s)
- Zheqi Hu
- Department of Neurology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing 210008, China
| | - Lianlian Wang
- Department of Neurology, Nanjing Drum Tower Hospital Clinical College of Jiangsu University, Nanjing 210008, China
| | - Dandan Zhu
- Department of Ophthalmology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing University, Nanjing 210008, China
| | - Ruomeng Qin
- Department of Neurology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing 210008, China
| | - Xiaoning Sheng
- Department of Neurology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing 210008, China
| | - Zhihong Ke
- Department of Neurology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing 210008, China
| | - Pengfei Shao
- Department of Neurology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing 210008, China
| | - Hui Zhao
- Department of Neurology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing 210008, China
| | - Yun Xu
- Department of Neurology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing 210008, China
| | - Feng Bai
- Department of Neurology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing 210008, China
- Geriatric Medicine Center, Affiliated Taikang Xianlin Drum Tower Hospital, Medical School of Nanjing University, Nanjing 210008, China
- Correspondence: ; Tel.: +86-25-83105960
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Retinal Neurodegeneration Measured With Optical Coherence Tomography and Neuroimaging in Alzheimer Disease: A Systematic Review. J Neuroophthalmol 2023; 43:116-125. [PMID: 36255105 DOI: 10.1097/wno.0000000000001673] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
BACKGROUND Optical coherence tomography (OCT) has enabled several retinal alterations to be detected in patients with Alzheimer disease (AD), alterations that could be potential biomarkers. However, the relationship between the retina and other biomarkers of AD has been underresearched. We gathered and analyzed the literature about the relationship between retinal and cerebral alterations detected via neuroimaging in patients with AD, mild cognitive impairment (MCI), and preclinical AD. METHODS This systematic review followed the PRISMA Statement guidelines through the 27 items on its checklist. We searched in PubMed, BVS, Scopus, and the Cochrane Library, using the keywords: Alzheimer's disease, optical coherence tomography, white matter, cortex, atrophy, cortical thickness, neuroimaging, magnetic resonance imaging, and positron emission tomography. We included articles that studied the retina in relation to neuroimaging in patients with AD, MCI, and preclinical AD. We excluded studies without OCT, without neuroimaging, clinical cases, opinion articles, systematic reviews, and animal studies. RESULTS Of a total of 35 articles found, 23 were finally included. Although mixed results were found, most of these corroborate the relationship between retinal and brain disorders. CONCLUSIONS More rigorous research is needed in the field, including homogenized, longitudinal, and prolonged follow-up studies, as well as studies that include all stages of AD. This will enable better understanding of the retina and its implications in AD, leading to the discovery of retinal biomarkers that reflect brain alterations in AD patients in an accessible and noninvasive manner.
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Ghanam AR, Ke S, Wang S, Elgendy R, Xie C, Wang S, Zhang R, Wei M, Liu W, Cao J, Zhang Y, Zhang Z, Xue T, Zheng Y, Song X. Alternative transcribed 3' isoform of long non-coding RNA Malat1 inhibits mouse retinal oxidative stress. iScience 2022; 26:105740. [PMID: 36594014 PMCID: PMC9804114 DOI: 10.1016/j.isci.2022.105740] [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: 01/21/2022] [Revised: 03/08/2022] [Accepted: 12/01/2022] [Indexed: 12/12/2022] Open
Abstract
The function of the cancer-associated lncRNA Malat1 during aging is as-of-yet uncharacterized. Here, we show that Malat1 interacts with Nucleophosmin (NPM) in young mouse brain, and with Lamin A/C, hnRNP C, and KAP1 with age. RNA-seq and RT-qPCR reveal a persistent expression of Malat1_2 (the 3'isoform of Malat1) in Malat1Δ1 (5'-1.5 kb deletion) mouse retinas and brains at 1/4th level of the full-length Malat1, while Malat1_1 (the 5'isoform) in Malat1Δ2 (deletion of 3'-conserved 5.7 kb) at a much lower level, suggesting an internal promoter driving the 3' isoform. The 1774 and 496 differentially expressed genes in Malat1Δ2 and Malat1Δ1 brains, respectively, suggest the 3' isoform regulates gene expression in trans and the 5' isoform in cis. Consistently, Malat1Δ2 mice show increased age-dependent retinal oxidative stress and corneal opacity, while Malat1Δ1 mice show no obvious phenotype. Collectively, this study reveals a physiological function of the lncRNA Malat1 3'-isoform during the aging process.
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Affiliation(s)
- Amr. R. Ghanam
- Hefei National Research Center for Physical Sciences at the Microscale, MOE Key Laboratory of Cellular Dynamics, CAS Key Laboratory of Brain Function and Disease, School of Life Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - Shengwei Ke
- Hefei National Research Center for Physical Sciences at the Microscale, MOE Key Laboratory of Cellular Dynamics, CAS Key Laboratory of Brain Function and Disease, School of Life Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230026, China,Department of Urology and Andrology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310016, China
| | - Shujuan Wang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing 102206, China
| | - Ramy Elgendy
- Department of Pharmacology, College of Veterinary Medicine, Suez Canal University, Ismailia 41522, Egypt
| | - Chenyao Xie
- Hefei National Research Center for Physical Sciences at the Microscale, MOE Key Laboratory of Cellular Dynamics, CAS Key Laboratory of Brain Function and Disease, School of Life Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - Siqi Wang
- Hefei National Research Center for Physical Sciences at the Microscale, MOE Key Laboratory of Cellular Dynamics, CAS Key Laboratory of Brain Function and Disease, School of Life Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - Ran Zhang
- Hefei National Research Center for Physical Sciences at the Microscale, MOE Key Laboratory of Cellular Dynamics, CAS Key Laboratory of Brain Function and Disease, School of Life Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - Min Wei
- Hefei National Research Center for Physical Sciences at the Microscale, MOE Key Laboratory of Cellular Dynamics, CAS Key Laboratory of Brain Function and Disease, School of Life Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - Weiguang Liu
- Hefei National Research Center for Physical Sciences at the Microscale, MOE Key Laboratory of Cellular Dynamics, CAS Key Laboratory of Brain Function and Disease, School of Life Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - Jun Cao
- Hefei National Research Center for Physical Sciences at the Microscale, MOE Key Laboratory of Cellular Dynamics, CAS Key Laboratory of Brain Function and Disease, School of Life Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - Yan Zhang
- Stroke Center & Department of Neurology, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China
| | - Zhi Zhang
- Hefei National Research Center for Physical Sciences at the Microscale, MOE Key Laboratory of Cellular Dynamics, CAS Key Laboratory of Brain Function and Disease, School of Life Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - Tian Xue
- Hefei National Research Center for Physical Sciences at the Microscale, MOE Key Laboratory of Cellular Dynamics, CAS Key Laboratory of Brain Function and Disease, School of Life Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - Yong Zheng
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing 102206, China,Corresponding author
| | - Xiaoyuan Song
- Hefei National Research Center for Physical Sciences at the Microscale, MOE Key Laboratory of Cellular Dynamics, CAS Key Laboratory of Brain Function and Disease, School of Life Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230026, China,Corresponding author
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10
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Chua J, Li C, Ho LKH, Wong D, Tan B, Yao X, Gan A, Schwarzhans F, Garhöfer G, Sng CCA, Hilal S, Venketasubramanian N, Cheung CY, Fischer G, Vass C, Wong TY, Chen CLH, Schmetterer L. A multi-regression framework to improve diagnostic ability of optical coherence tomography retinal biomarkers to discriminate mild cognitive impairment and Alzheimer’s disease. Alzheimers Res Ther 2022; 14:41. [PMID: 35272711 PMCID: PMC8908577 DOI: 10.1186/s13195-022-00982-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Accepted: 02/23/2022] [Indexed: 11/24/2022]
Abstract
Background Diagnostic performance of optical coherence tomography (OCT) to detect Alzheimer’s disease (AD) and mild cognitive impairment (MCI) remains limited. We assessed whether compensating the circumpapillary retinal nerve fiber layer (cpRNFL) thickness for multiple demographic and anatomical factors as well as the combination of macular layers improves the detection of MCI and AD. Methods This cross-sectional study of 62 AD (n = 92 eyes), 108 MCI (n = 158 eyes), and 55 cognitively normal control (n = 86 eyes) participants. Macular ganglion cell complex (mGCC) thickness was extracted. Circumpapillary retinal nerve fiber layer (cpRNFL) measurement was compensated for several ocular factors. Thickness measurements and their corresponding areas under the receiver operating characteristic curves (AUCs) were compared between the groups. The main outcome measure was OCT thickness measurements. Results Participants with MCI/AD showed significantly thinner measured and compensated cpRNFL, mGCC, and altered retinal vessel density (p < 0.05). Compensated RNFL outperformed measured RNFL for discrimination of MCI/AD (AUC = 0.74 vs 0.69; p = 0.026). Combining macular and compensated cpRNFL parameters provided the best detection of MCI/AD (AUC = 0.80 vs 0.69; p < 0.001). Conclusions and relevance Accounting for interindividual variations of ocular anatomical features in cpRNFL measurements and incorporating macular information may improve the identification of high-risk individuals with early cognitive impairment. Supplementary Information The online version contains supplementary material available at 10.1186/s13195-022-00982-0.
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11
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Li K, Wang Q, Wang L, Huang Y. Cognitive dysfunctions in high myopia: An overview of potential neural morpho-functional mechanisms. Front Neurol 2022; 13:1022944. [PMID: 36408499 PMCID: PMC9669364 DOI: 10.3389/fneur.2022.1022944] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Accepted: 10/10/2022] [Indexed: 10/28/2023] Open
Abstract
Dementia and cognitive impairment (CIM) carry high levels of mortality. Visual impairment (VI) is linked with CIM risk. High myopia (HM) is a chronic disease frequently leading to irreversible blindness. Current opinion has shifted from retinal injury as the cause of HM to the condition being considered an eye-brain disease. However, the pathogenesis of this disease and the manner in which neural structures are damaged are poorly understood. This review comprehensively discusses the relationship between HM, the central nervous system, and CIM, together with the novel concept of three visual pathways, and possible research perspectives.
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Affiliation(s)
- Kaixiu Li
- Department of Ophthalmology, The Third Medical Center, Chinese PLA General Hospital, Beijing, China
- Medical School of Chinese PLA, Beijing, China
| | - Qun Wang
- Department of Ophthalmology, The Third Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Liqiang Wang
- Department of Ophthalmology, The Third Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Yifei Huang
- Department of Ophthalmology, The Third Medical Center, Chinese PLA General Hospital, Beijing, China
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12
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Vij R, Arora S. A systematic survey of advances in retinal imaging modalities for Alzheimer's disease diagnosis. Metab Brain Dis 2022; 37:2213-2243. [PMID: 35290546 DOI: 10.1007/s11011-022-00927-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Accepted: 02/04/2022] [Indexed: 01/06/2023]
Abstract
Recent advances in retinal imaging pathophysiology have shown a new function for biomarkers in Alzheimer's disease diagnosis and prognosis. The significant improvements in Optical coherence tomography (OCT) retinal imaging have led to significant clinical translation, particularly in Alzheimer's disease detection. This systematic review will provide a comprehensive overview of retinal imaging in clinical applications, with a special focus on biomarker analysis for use in Alzheimer's disease detection. Articles on OCT retinal imaging in Alzheimer's disease diagnosis were identified in PubMed, Google Scholar, IEEE Xplore, and Research Gate databases until March 2021. Those studies using simultaneous retinal imaging acquisition were chosen, while those using sequential techniques were rejected. "Alzheimer's disease" and "Dementia" were searched alone and in combination with "OCT" and "retinal imaging". Approximately 1000 publications were searched, and after deleting duplicate articles, 145 relevant studies focused on the diagnosis of Alzheimer's disease utilizing retinal imaging were chosen for study. OCT has recently been demonstrated to be a valuable technique in clinical practice as according to this survey, 57% of the researchers employed optical coherence tomography, 19% used ocular fundus imaging, 13% used scanning laser ophthalmoscopy, and 11% have used multimodal imaging to diagnose Alzheimer disease. Retinal imaging has become an important diagnostic technique for Alzheimer's disease. Given the scarcity of available literature, it is clear that future prospective trials involving larger and more homogeneous groups are necessary, and the work can be expanded by evaluating its significance utilizing a machine-learning platform rather than simply using statistical methodologies.
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Affiliation(s)
- Richa Vij
- School of Computer Science & Engineering, Shri Mata Vaishno Devi University, Katra, Jammu and Kashmir, 182320, India
| | - Sakshi Arora
- School of Computer Science & Engineering, Shri Mata Vaishno Devi University, Katra, Jammu and Kashmir, 182320, India.
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13
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López-de-Eguileta A, López-García S, Lage C, Pozueta A, García-Martínez M, Kazimierczak M, Bravo M, Irure J, López-Hoyos M, Muñoz-Cacho P, Rodríguez-Perez N, Tordesillas-Gutiérrez D, Goikoetxea A, Nebot C, Rodríguez-Rodríguez E, Casado A, Sánchez-Juan P. The retinal ganglion cell layer reflects neurodegenerative changes in cognitively unimpaired individuals. Alzheimers Res Ther 2022; 14:57. [PMID: 35449033 PMCID: PMC9022357 DOI: 10.1186/s13195-022-00998-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Accepted: 04/04/2022] [Indexed: 12/22/2022]
Abstract
Background To evaluate a wide range of optical coherence tomography (OCT) parameters for possible application as a screening tool for cognitively healthy individuals at risk of Alzheimer’s disease (AD), assessing the potential relationship with established cerebrospinal fluid (CSF) core AD biomarkers and magnetic resonance imaging (MRI). Methods We studied 99 participants from the Valdecilla Study for Memory and Brain Aging. This is a prospective cohort for multimodal biomarker discovery and validation that includes participants older than 55 years without dementia. Participants received a comprehensive neuropsychological battery and underwent structural 3-T brain MRI, lumbar puncture for CSF biomarkers (phosphorylated-181-Tau (pTau), total Tau (tTau), beta-amyloid 1–42 (Aβ 1–42), and beta-amyloid 1–40 (Aβ 1–40)). All individuals underwent OCT to measure the retinal ganglion cell layer (GCL), the retinal nerve fiber layer (RFNL), the Bruch’s membrane opening-minimum rim width (BMO-MRW), and choroidal thickness (CT). In the first stage, we performed a univariate analysis, using Student’s t-test. In the second stage, we performed a multivariate analysis including only those OCT parameters that discriminated at a nominal level, between positive/negative biomarkers in stage 1. Results We found significant differences between the OCT measurements of pTau- and tTau-positive individuals compared with those who were negative for these markers, most notably that the GCL and the RNFL were thinner in the former. In stage 2, our dependent variables were the quantitative values of CSF markers and the hippocampal volume. The Aβ 1–42/40 ratio did not show a significant correlation with OCT measurements while the associations between pTau and tTau with GCL were statistically significant, especially in the temporal region of the macula. Besides, the multivariate analysis showed a significant correlation between hippocampal volume with GCL and RNFL. However, after false discovery rate correction, only the associations with hippocampal volume remained significant. Conclusions We found a significant correlation between Tau (pTau) and neurodegeneration biomarkers (tTau and hippocampus volume) with GCL degeneration and, to a lesser degree, with damage in RFNL. OCT analysis constitutes a non-invasive and unexpensive biomarker that allows the detection of neurodegeneration in cognitively asymptomatic individuals. Supplementary Information The online version contains supplementary material available at 10.1186/s13195-022-00998-6.
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Affiliation(s)
- Alicia López-de-Eguileta
- Department of Ophthalmology, 'Marqués de Valdecilla' University Hospital, Institute for Research 'Marqués de Valdecilla' Santander, University of Cantabria, Santander, Spain.
| | - Sara López-García
- Cognitive Impairment Unit, Neurology Service and Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), 'Marqués de Valdecilla' University Hospital, Institute for Research 'Marqués de Valdecilla' (IDIVAL), University of Cantabria, Santander, Spain
| | - Carmen Lage
- Cognitive Impairment Unit, Neurology Service and Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), 'Marqués de Valdecilla' University Hospital, Institute for Research 'Marqués de Valdecilla' (IDIVAL), University of Cantabria, Santander, Spain
| | - Ana Pozueta
- Cognitive Impairment Unit, Neurology Service and Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), 'Marqués de Valdecilla' University Hospital, Institute for Research 'Marqués de Valdecilla' (IDIVAL), University of Cantabria, Santander, Spain
| | - María García-Martínez
- Cognitive Impairment Unit, Neurology Service and Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), 'Marqués de Valdecilla' University Hospital, Institute for Research 'Marqués de Valdecilla' (IDIVAL), University of Cantabria, Santander, Spain
| | - Martha Kazimierczak
- Cognitive Impairment Unit, Neurology Service and Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), 'Marqués de Valdecilla' University Hospital, Institute for Research 'Marqués de Valdecilla' (IDIVAL), University of Cantabria, Santander, Spain
| | - María Bravo
- Cognitive Impairment Unit, Neurology Service and Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), 'Marqués de Valdecilla' University Hospital, Institute for Research 'Marqués de Valdecilla' (IDIVAL), University of Cantabria, Santander, Spain
| | - Juan Irure
- Department of Immunology, 'Marqués de Valdecilla' University Hospital of Cantabria, Institute for Research 'Marqués de Valdecilla', Santander, Spain
| | - Marcos López-Hoyos
- Department of Immunology, 'Marqués de Valdecilla' University Hospital of Cantabria, Institute for Research 'Marqués de Valdecilla', Santander, Spain
| | - Pedro Muñoz-Cacho
- Department of Medicina Familiar y Comunitaria, IDIVAL, Santander, Spain
| | | | | | | | - Claudia Nebot
- Department of Ophthalmology, 'Marqués de Valdecilla' University Hospital, Institute for Research 'Marqués de Valdecilla' Santander, University of Cantabria, Santander, Spain
| | - Eloy Rodríguez-Rodríguez
- Cognitive Impairment Unit, Neurology Service and Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), 'Marqués de Valdecilla' University Hospital, Institute for Research 'Marqués de Valdecilla' (IDIVAL), University of Cantabria, Santander, Spain
| | - Alfonso Casado
- Department of Ophthalmology, 'Marqués de Valdecilla' University Hospital, Institute for Research 'Marqués de Valdecilla' Santander, University of Cantabria, Santander, Spain
| | - Pascual Sánchez-Juan
- Cognitive Impairment Unit, Neurology Service and Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), 'Marqués de Valdecilla' University Hospital, Institute for Research 'Marqués de Valdecilla' (IDIVAL), University of Cantabria, Santander, Spain
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14
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Cui QN, Green D, Jethi M, Driver T, Porco TC, Kuo J, Lin SC, Stamper RL, Han Y, Chiu CS, Ramanathan S, Ward ME, Possin K, Ou Y. Individuals with and without normal tension glaucoma exhibit comparable performance on tests of cognitive function. Int J Ophthalmol 2021; 14:1721-1728. [PMID: 34804862 PMCID: PMC8569564 DOI: 10.18240/ijo.2021.11.11] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Accepted: 03/16/2021] [Indexed: 11/23/2022] Open
Abstract
AIM To evaluate aspects of cognition impacted by individuals with and without normal tension glaucoma. METHODS Fifty normal tension glaucoma (NTG) and 50 control patients ≥50y of age were recruited from the UCSF Department of Ophthalmology. Demographic data and glaucoma parameters were extracted from electronic medical records for both groups. Tests of executive function [Executive Abilities: Measures and Instruments for Neurobehavioral Evaluation and Research (EXAMINER)] and learning and memory [California Verbal Learning Test-Second Edition (CVLT-II)] were administered to both NTG and controls. Race, handedness, best-corrected visual acuity, maximum intraocular pressure, optic nerve cup-to-disc ratio, visual field and optic nerve optical coherence tomography parameters, and a measure of general health (Charlson Comorbidity Index) were compared between NTG and controls as well as within NTG subgroups. Multivariate linear regression was used to compare group performances on the EXAMINER battery and CVLT-II while controlling for age, sex, and years of education. RESULTS NTG and controls were comparable with respect to age, sex, race, education, handedness, and the Charlson Comorbidity Index (P>0.05 for all). Performance on the EXAMINER composite score and the CVLT-II did not differ between NTG and controls (P>0.05 for both). CONCLUSION This is the first prospective study in which the cognitive function of subject with NTG were evaluated using a comprehensive, computerized neurocognitive battery. Subjects with NTG do not perform worse than unaffected controls on tests of executive function, learning, and memory. Results do not support the hypothesis that individuals with NTG are at higher risk for cognitive dysfunction and/or dementia.
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Affiliation(s)
- Qi N. Cui
- Department of Ophthalmology, University of California San Francisco, San Francisco, California 94143, USA
- University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - David Green
- Department of Ophthalmology, University of California San Francisco, San Francisco, California 94143, USA
| | - Mohit Jethi
- Department of Ophthalmology, University of California San Francisco, San Francisco, California 94143, USA
| | - Todd Driver
- Department of Ophthalmology, University of California San Francisco, San Francisco, California 94143, USA
| | - Travis C. Porco
- Department of Ophthalmology, University of California San Francisco, San Francisco, California 94143, USA
- Francis I. Proctor Foundation, University of California San Francisco, San Francisco, California 94143, USA
| | - Jane Kuo
- Department of Ophthalmology, University of California San Francisco, San Francisco, California 94143, USA
| | - Shan C. Lin
- Department of Ophthalmology, University of California San Francisco, San Francisco, California 94143, USA
- Glaucoma Center of San Francisco, San Francisco, California 94105, USA
| | - Robert L. Stamper
- Department of Ophthalmology, University of California San Francisco, San Francisco, California 94143, USA
| | - Ying Han
- Department of Ophthalmology, University of California San Francisco, San Francisco, California 94143, USA
| | - Cynthia S. Chiu
- Department of Ophthalmology, University of California San Francisco, San Francisco, California 94143, USA
| | - Saras Ramanathan
- Department of Ophthalmology, University of California San Francisco, San Francisco, California 94143, USA
| | - Michael E. Ward
- Department of Neurology, University of California San Francisco, San Francisco, California 94143, USA
- Neurogenetics Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD 20892, USA
| | - Katherine Possin
- Department of Neurology, University of California San Francisco, San Francisco, California 94143, USA
| | - Yvonne Ou
- Department of Ophthalmology, University of California San Francisco, San Francisco, California 94143, USA
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15
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Yan Y, Wu X, Wang X, Geng Z, Wang L, Xiao G, Wu Y, Zhou S, Liao R, Wei L, Tian Y, Wang K. The Retinal Vessel Density Can Reflect Cognitive Function in Patients with Alzheimer's Disease: Evidence from Optical Coherence Tomography Angiography. J Alzheimers Dis 2021; 79:1307-1316. [PMID: 33427738 DOI: 10.3233/jad-200971] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
BACKGROUND There is increasing evidence that Alzheimer's disease (AD) patients may present decreased cerebral blood perfusion before pathological brain changes. Using the retina as a window to the brain, we can study disorders of the central nervous system through the eyes. OBJECTIVE This study aimed to investigate differences in retinal structure and vessel density (VD) between patients with mild AD and healthy controls (HCs). Furthermore, we explored the relationship between retinal VD and cognitive function. METHODS We enrolled 37 patients with AD and 29 age-matched HCs who underwent standard ophthalmic optical coherence tomography angiography (OCTA) for evaluation of the retinal layer thickness and VD parameters. Cognitive function was evaluated using a battery of neuropsychological assessments. Finally, the correlations among retinal layer thickness, VD parameters, and cognitive function were evaluated. RESULTS The retinal fiber layer thickness and retinal VD of patients with AD were significantly reduced compared with HCs. The retinal VD was significantly correlated with overall cognition, memory, executive, and visual-spatial perception functions. However, there was no significant between-group difference in the macular thickness. CONCLUSION Our findings indicate a positive correlation between retinal VD and some, but not all, cognitive function domains. Most importantly, we demonstrated the role of OCTA in detecting early capillary changes, which could be a noninvasive biomarker for early AD.
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Affiliation(s)
- Yibing Yan
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei, China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China
| | - Xingqi Wu
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei, China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China
| | - Xiaojing Wang
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei, China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China
| | - Zhi Geng
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei, China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China
| | - Lu Wang
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei, China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China
| | - Guixian Xiao
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei, China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China
| | - Yue Wu
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei, China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China
| | - Shanshan Zhou
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei, China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China.,Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, China
| | - Rongfeng Liao
- Department of Ophthalmology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Ling Wei
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei, China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China.,Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, China
| | - Yanghua Tian
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei, China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China.,Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, China
| | - Kai Wang
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei, China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China.,Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, China.,Department of Medical Psychology, Chaohu Clinical Medical College, Anhui Medical University, Hefei, China
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16
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Yuen V, Ran A, Shi J, Sham K, Yang D, Chan VTT, Chan R, Yam JC, Tham CC, McKay GJ, Williams MA, Schmetterer L, Cheng CY, Mok V, Chen CL, Wong TY, Cheung CY. Deep-Learning-Based Pre-Diagnosis Assessment Module for Retinal Photographs: A Multicenter Study. Transl Vis Sci Technol 2021; 10:16. [PMID: 34524409 PMCID: PMC8444486 DOI: 10.1167/tvst.10.11.16] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Accepted: 08/12/2021] [Indexed: 12/23/2022] Open
Abstract
Purpose Artificial intelligence (AI) deep learning (DL) has been shown to have significant potential for eye disease detection and screening on retinal photographs in different clinical settings, particular in primary care. However, an automated pre-diagnosis image assessment is essential to streamline the application of the developed AI-DL algorithms. In this study, we developed and validated a DL-based pre-diagnosis assessment module for retinal photographs, targeting image quality (gradable vs. ungradable), field of view (macula-centered vs. optic-disc-centered), and laterality of the eye (right vs. left). Methods A total of 21,348 retinal photographs from 1914 subjects from various clinical settings in Hong Kong, Singapore, and the United Kingdom were used for training, internal validation, and external testing for the DL module, developed by two DL-based algorithms (EfficientNet-B0 and MobileNet-V2). Results For image-quality assessment, the pre-diagnosis module achieved area under the receiver operating characteristic curve (AUROC) values of 0.975, 0.999, and 0.987 in the internal validation dataset and the two external testing datasets, respectively. For field-of-view assessment, the module had an AUROC value of 1.000 in all of the datasets. For laterality-of-the-eye assessment, the module had AUROC values of 1.000, 0.999, and 0.985 in the internal validation dataset and the two external testing datasets, respectively. Conclusions Our study showed that this three-in-one DL module for assessing image quality, field of view, and laterality of the eye of retinal photographs achieved excellent performance and generalizability across different centers and ethnicities. Translational Relevance The proposed DL-based pre-diagnosis module realized accurate and automated assessments of image quality, field of view, and laterality of the eye of retinal photographs, which could be further integrated into AI-based models to improve operational flow for enhancing disease screening and diagnosis.
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Affiliation(s)
- Vincent Yuen
- Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong
| | - Anran Ran
- Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong
| | - Jian Shi
- Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong
| | - Kaiser Sham
- Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong
| | - Dawei Yang
- Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong
| | - Victor T. T. Chan
- Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong
| | - Raymond Chan
- Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong
| | - Jason C. Yam
- Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong
- Hong Kong Eye Hospital, Hong Kong
| | - Clement C. Tham
- Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong
- Hong Kong Eye Hospital, Hong Kong
| | - Gareth J. McKay
- Center for Public Health, Royal Victoria Hospital, Queen's University Belfast, Belfast, UK
| | - Michael A. Williams
- Center for Medical Education, Royal Victoria Hospital, Queen's University Belfast, Belfast, UK
| | - Leopold Schmetterer
- Singapore Eye Research Institute, Singapore National Eye Center, Singapore
- Ophthalmology and Visual Sciences Academic Clinical Programme, Duke-NUS Medical School, Singapore
- SERI-NTU Advanced Ocular Engineering (STANCE) Program, Nanyang Technological University, Singapore
- School of Chemical and Biomedical Engineering, Nanyang Technological University, Singapore
- Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria
- Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria
- Institute of Molecular and Clinical Ophthalmology, Basel, Switzerland
| | - Ching-Yu Cheng
- Singapore Eye Research Institute, Singapore National Eye Center, Singapore
- Ophthalmology and Visual Sciences Academic Clinical Programme, Duke-NUS Medical School, Singapore
| | - Vincent Mok
- Gerald Choa Neuroscience Center, Therese Pei Fong Chow Research Center for Prevention of Dementia, Lui Che Woo Institute of Innovative Medicine, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong
| | - Christopher L. Chen
- Memory, Aging and Cognition Center, Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Tien Y. Wong
- Singapore Eye Research Institute, Singapore National Eye Center, Singapore
- Ophthalmology and Visual Sciences Academic Clinical Programme, Duke-NUS Medical School, Singapore
| | - Carol Y. Cheung
- Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong
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17
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Hilal S, Liu S, Wong TY, Vrooman H, Cheng CY, Venketasubramanian N, Chen CL, Zhou JH. White matter network damage mediates association between cerebrovascular disease and cognition. J Cereb Blood Flow Metab 2021; 41:1858-1872. [PMID: 33530830 PMCID: PMC8327109 DOI: 10.1177/0271678x21990980] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
To determine whether white matter network disruption mediates the association between MRI markers of cerebrovascular disease (CeVD) and cognitive impairment. Participants (n = 253, aged ≥60 years) from the Epidemiology of Dementia in Singapore study underwent neuropsychological assessments and MRI. CeVD markers were defined as lacunes, white matter hyperintensities (WMH), microbleeds, cortical microinfarcts, cortical infarcts and intracranial stenosis (ICS). White matter microstructure damage was measured as fractional anisotropy and mean diffusivity by tract based spatial statistics from diffusion tensor imaging. Cognitive function was summarized as domain-specific Z-scores.Lacunar counts, WMH volume and ICS were associated with worse performance in executive function, attention, language, verbal and visual memory. These three CeVD markers were also associated with white matter microstructural damage in the projection, commissural, association, and limbic fibers. Path analyses showed that lacunar counts, higher WMH volume and ICS were associated with executive and verbal memory impairment via white matter disruption in commissural fibers whereas impairment in the attention, visual memory and language were mediated through projection fibers.Our study shows that the abnormalities in white matter connectivity may underlie the relationship between CeVD and cognition. Further longitudinal studies are needed to understand the cause-effect relationship between CeVD, white matter damage and cognition.
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Affiliation(s)
- Saima Hilal
- Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Memory Aging & Cognition Centre, National University Health System, Singapore.,Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Siwei Liu
- Department of Medicine, Center for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Center for Translational Magnetic Resonance Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Tien Yin Wong
- Singapore Eye Research Institute, Singapore National Eye Center, Singapore.,Duke-NUS Medical School, Singapore
| | - Henri Vrooman
- Departments of Radiology & Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Ching-Yu Cheng
- Singapore Eye Research Institute, Singapore National Eye Center, Singapore.,Duke-NUS Medical School, Singapore
| | | | - Christopher Lh Chen
- Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Juan Helen Zhou
- Department of Medicine, Center for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Center for Translational Magnetic Resonance Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Duke-NUS Medical School, Singapore
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18
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Hamedani AG. Vision loss and hallucinations: perspectives from neurology and ophthalmology. Curr Opin Neurol 2021; 34:84-88. [PMID: 33230034 DOI: 10.1097/wco.0000000000000882] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
PURPOSE OF REVIEW The aim of this article is to summarize the evidence for visual impairment as a risk factor for visual hallucinations in neurologic disease and recent advances in our understanding of the central visual pathways that mediate this association. RECENT FINDINGS Recent studies have described the prevalence Charles Bonnet syndrome and questioned its lack of association with cognitive impairment, used advanced neuroimaging to show that disinhibition of the occipital lobe is involved in the pathogenesis of visual hallucinations in Parkinson's disease, and demonstrated that visual impairment because of eye disease is a consistent risk factor for visual hallucinations across a number of different neurodegenerative disease populations. SUMMARY Through connections between the primary visual cortex and other brain structures, visual function is closely tied to visual hallucinations. Given that the vast majority of vision loss is caused by ophthalmic disease, much of which is preventable or treatable, the detection and treatment of vision loss in at-risk populations may reduce the burden and consequences of visual hallucinations in older adults.
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Affiliation(s)
- Ali G Hamedani
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
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19
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Qian X, Ji F, Ng KK, Koh AJ, Loo BRY, Townsend MC, Pasternak O, Tay SH, Zhou JH, Mak A. Brain white matter extracellular free-water increases are related to reduced neurocognitive function in systemic lupus erythematosus. Rheumatology (Oxford) 2021; 61:1166-1174. [PMID: 34156469 DOI: 10.1093/rheumatology/keab511] [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] [Received: 02/08/2021] [Revised: 06/12/2021] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVES Brain white matter (WM) microstructural changes evaluated by diffusion MRI were well documented in patients with systemic lupus erythematosus (SLE). Yet, conventional diffusion tensor imaging technique fails to differentiate WM changes that originate from tissue alterations from those due to increased extracellular free water (FW) related to neuroinflammation, microvascular disruption, atrophy, or other extracellular processes. Here, we sought to delineate changes in WM tissue microstructure and extracellular FW volume and examine their relationships with neurocognitive function in SLE patients. METHODS Twenty SLE patients (16 females, aged 36.0±10.6) without clinically-overt neuropsychiatric manifestation and 61 healthy controls (HC) (29 females, aged 29.2±9.4) underwent diffusion MRI and computerized neuropsychological assessments cross-sectionally. The FW imaging method was applied to compare microstructural tissue changes and extracellular FW volume of the brain WM between SLE patients and HC. Association between extracellular FW changes and neurocognitive performance was studied. RESULTS SLE patients had higher WM extracellular FW compared to HC (family-wise-error-corrected p < 0.05) while no group difference was found in FW-corrected tissue compartment and structural connectivity metrics. Extracellular FW increases in SLE patients were associated with poorer neurocognitive performance that probed sustained attention (p = 0.022) and higher cumulative glucocorticoid dose (p = 0.0041). Such findings remained robust after controlling for age, gender, IQ, and total WM volume. CONCLUSIONS The association between WM extracellular FW increases and reduced neurocognitive performance suggest possible microvascular degradation and/or neuroinflammation in SLE patients with clinically-inactive disease. The mechanistic impact of cumulative glucocorticoids on WM FW deserves further evaluation.
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Affiliation(s)
- Xing Qian
- Centre for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Fang Ji
- Centre for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Kwun Kei Ng
- Centre for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Amelia Jialin Koh
- Centre for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Beatrice Rui Yi Loo
- Centre for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Mary Charlotte Townsend
- Centre for Translational Magnetic Resonance Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Ofer Pasternak
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Sen Hee Tay
- Division of Rheumatology, Department of Medicine, National University Hospital, National University Health System, Singapore, Singapore.,Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Juan Helen Zhou
- Centre for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.,Centre for Translational Magnetic Resonance Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.,Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore.,Integrative Sciences and Engineering Programme (ISEP), National University of Singapore, Singapore, Singapore
| | - Anselm Mak
- Division of Rheumatology, Department of Medicine, National University Hospital, National University Health System, Singapore, Singapore.,Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
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20
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Jiang H, Wang J, Levin BE, Baumel BS, Camargo CJ, Signorile JF, Rundek T. Retinal Microvascular Alterations as the Biomarkers for Alzheimer Disease: Are We There Yet? J Neuroophthalmol 2021; 41:251-260. [PMID: 33136677 PMCID: PMC8079547 DOI: 10.1097/wno.0000000000001140] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
BACKGROUND Alzheimer disease (AD) is a heterogeneous and multifactorial disorder with an insidious onset and slowly progressive disease course. To date, there are no effective treatments, but biomarkers for early diagnosis and monitoring of disease progression offer a promising first step in developing and testing potential interventions. Cerebral vascular imaging biomarkers to assess the contributions of vascular dysfunction to AD are strongly recommended to be integrated into the current amyloid-β (Aβ) [A], tau [T], and neurodegeneration [(N)]-the "AT(N)" biomarker system for clinical research. However, the methodology is expensive and often requires invasive procedures to document cerebral vascular dysfunction. The retina has been used as a surrogate to study cerebral vascular changes. There is growing interest in the identification of retinal microvascular changes as a safe, easily accessible, low cost, and time-efficient approach to enhancing our understanding of the vascular pathogenesis associated with AD. EVIDENCE ACQUISITION A systemic review of the literature was performed regarding retinal vascular changes in AD and its prodromal stages, focusing on functional and structural changes of large retinal vessels (vessels visible on fundus photographs) and microvasculature (precapillary arterioles, capillary, and postcapillary venules) that are invisible on fundus photographs. RESULTS Static and dynamic retinal microvascular alterations such as retinal arterial wall motion, blood flow rate, and microvascular network density were reported in AD, mild cognitive impairment, and even in the preclinical stages of the disease. The data are somewhat controversial and inconsistent among the articles reviewed and were obtained based on cross-sectional studies that used different patient cohorts, equipment, techniques, and analysis methods. CONCLUSIONS Retinal microvascular alterations exist across the AD spectrum. Further large scale, within-subject longitudinal studies using standardized imaging and analytical methods may advance our knowledge concerning vascular contributions to the pathogenesis of AD.
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Affiliation(s)
- Hong Jiang
- Department of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, FL, USA
- Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Jianhua Wang
- Department of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Bonnie E. Levin
- Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Bernard S. Baumel
- Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Christian J. Camargo
- Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, USA
| | | | - Tania Rundek
- Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, USA
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21
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Fereshetian S, Agranat JS, Siegel N, Ness S, Stein TD, Subramanian ML. Protein and Imaging Biomarkers in the Eye for Early Detection of Alzheimer's Disease. J Alzheimers Dis Rep 2021; 5:375-387. [PMID: 34189409 PMCID: PMC8203283 DOI: 10.3233/adr-210283] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/26/2021] [Indexed: 12/28/2022] Open
Abstract
Alzheimer's disease (AD) is one of the most common causes of dementia worldwide. Although no formal curative therapy exists for the treatment of AD, considerable research has been performed to identify biomarkers for early detection of this disease, and thus improved subsequent management. Given that the eye can be examined and imaged non-invasively with relative ease, it has emerged as an exciting area of research for evidence of biomarkers and to aid in the early diagnosis of AD. This review explores the current understanding of both protein and retinal imaging biomarkers in the eye. Herein, primary findings in the literature regarding AD biomarkers associated with the lens, retina, and other ocular structures are reviewed.
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Affiliation(s)
- Shaunt Fereshetian
- Boston University School of Medicine, Department of Ophthalmology, Boston, MA, USA
| | - Joshua S. Agranat
- Boston University School of Medicine, Department of Ophthalmology, Boston, MA, USA
- Boston Medical Center, Boston, MA, USA
| | - Nicole Siegel
- Boston University School of Medicine, Department of Ophthalmology, Boston, MA, USA
- Boston Medical Center, Boston, MA, USA
| | - Steven Ness
- Boston University School of Medicine, Department of Ophthalmology, Boston, MA, USA
- Boston Medical Center, Boston, MA, USA
| | - Thor D. Stein
- Boston University Alzheimer’s Disease and CTE Center, Boston University School of Medicine, Boston, MA, USA
- Department of Pathology and Laboratory Medicine, Boston University School of Medicine, Boston, MA, USA
- VA Boston Healthcare System, Boston, MA, USA
- Department of Veterans Affairs Medical Center, Bedford, MA, USA
| | - Manju L. Subramanian
- Boston University School of Medicine, Department of Ophthalmology, Boston, MA, USA
- Boston Medical Center, Boston, MA, USA
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22
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Donix M, Wittig D, Hermann W, Haussmann R, Dittmer M, Bienert F, Buthut M, Jacobi L, Werner A, Linn J, Ziemssen T, Brandt MD. Relation of retinal and hippocampal thickness in patients with amnestic mild cognitive impairment and healthy controls. Brain Behav 2021; 11:e02035. [PMID: 33448670 PMCID: PMC8119792 DOI: 10.1002/brb3.2035] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Revised: 12/28/2020] [Accepted: 01/02/2021] [Indexed: 01/20/2023] Open
Abstract
OBJECTIVE Investigating retinal thickness may complement existing biological markers for dementia and other neurodegenerative diseases. Although retinal thinning is predictive for cognitive decline, it remains to be investigated if and how this feature aligns with neurodegeneration elsewhere in the brain, specifically in early disease stages. METHODS Using optical coherence tomography and magnetic resonance imaging, we examined retinal thickness as well as hippocampal structure in patients with amnestic mild cognitive impairment and healthy controls. RESULTS The groups did not differ in hippocampal and retinal thickness measures. However, we detected a correlation of peripapillary retinal nerve fiber layer thickness and hippocampal thickness in healthy people but not in cognitively impaired patients. The ratio of hippocampus to retina thickness was significantly smaller in patients with mild cognitive impairment and correlated positively with cognitive performance. CONCLUSIONS Different temporal trajectories of neurodegeneration may disrupt transregional brain structure associations in patients with amnestic mild cognitive impairment.
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Affiliation(s)
- Markus Donix
- Department of Psychiatry, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.,German Center for Neurodegenerative Diseases (DZNE), Dresden, Germany
| | - Dierk Wittig
- German Center for Neurodegenerative Diseases (DZNE), Dresden, Germany.,Department of Ophthalmology, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Wiebke Hermann
- Department of Neurology, University Hospital, Rostock, Germany.,German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany
| | - Robert Haussmann
- Department of Psychiatry, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Maren Dittmer
- Department of Psychiatry, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Franziska Bienert
- Department of Psychiatry, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Maria Buthut
- Department of Psychiatry, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Liane Jacobi
- Department of Neurology, Sächsisches Krankenhaus Arnsdorf, Arnsdorf, Germany
| | - Annett Werner
- German Center for Neurodegenerative Diseases (DZNE), Dresden, Germany.,Department of Neuroradiology, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Jennifer Linn
- Department of Neuroradiology, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Tjalf Ziemssen
- Department of Neurology, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Moritz D Brandt
- German Center for Neurodegenerative Diseases (DZNE), Dresden, Germany.,Department of Neurology, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
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23
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Vu TA, Fenwick EK, Gan ATL, Man REK, Tan BKJ, Gupta P, Ho KC, Reyes-Ortiz CA, Trompet S, Gussekloo J, O'Brien JM, Mueller-Schotte S, Wong TY, Tham YC, Cheng CY, Lee ATC, Rait G, Swenor BK, Varadaraj V, Brenowitz WD, Medeiros FA, Naël V, Narasimhalu K, Chen CLH, Lamoureux EL. The Bidirectional Relationship between Vision and Cognition: A Systematic Review and Meta-analysis. Ophthalmology 2021; 128:981-992. [PMID: 33333104 DOI: 10.1016/j.ophtha.2020.12.010] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Revised: 12/07/2020] [Accepted: 12/08/2020] [Indexed: 12/21/2022] Open
Abstract
TOPIC Visual impairment (VI) and cognitive impairment (CIM) are prevalent age-related conditions that impose substantial burden on the society. Findings on the hypothesized bidirectional association of VI and CIM remains equivocal. Hence, we conducted a systematic review and meta-analysis to examine this bidirectional relationship. CLINICAL RELEVANCE Sixty percent risk of CIM has not been well elucidated in the literature. A bidirectional relationship between VI and CIM may support the development of strategies for early detection and management of risk factors for both conditions in older people. METHODS PubMed, Embase, and Cochrane Central registers were searched systematically for observational studies, published from inception until April 6, 2020, in adults 40 years of age or older reporting objectively measured VI and CIM assessment using clinically validated cognitive screening tests or diagnostic evaluation. Meta-analyses on cross-sectional and longitudinal associations between VI and CIM outcomes (any CIM assessed using screening tests and clinically diagnosed dementia) were examined. Random effect models were used to generate pooled odds ratios (ORs) and 95% confidence intervals (CIs). We also examined study quality, publication bias, and heterogeneity. RESULTS Forty studies were included (n = 47 913 570). Meta-analyses confirmed that persons with VI were more likely to have CIM, with significantly higher odds of: (1) any CIM (cross-sectional: OR, 2.38 [95% CI, 1.84-3.07]; longitudinal: OR, 1.66 [95% CI, 1.46-1.89]) and (2) clinically diagnosed dementia (cross-sectional: OR, 2.43 [95% CI, 1.48-4.01]; longitudinal: OR, 2.09 [95% CI, 1.37-3.21]) compared with persons without VI. Significant heterogeneity was explained partially by differences in age, sex, and follow-up duration. Also, some evidence suggested that individuals with CIM, relative to cognitively intact persons, were more likely to have VI, with most articles (8/9 [89%]) reporting significantly positive associations; however, meta-analyses on this association could not be conducted because of insufficient data. DISCUSSION Overall, our work suggests that VI is a risk factor of CIM, although further work is needed to confirm the association of CIM as a risk factor for VI. Strategies for early detection and management of both conditions in older people may minimize individual clinical and public health consequences.
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Affiliation(s)
- Tai Anh Vu
- Duke-NUS Medical School, Singapore, Republic of Singapore
| | - Eva K Fenwick
- Duke-NUS Medical School, Singapore, Republic of Singapore; Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Republic of Singapore
| | - Alfred T L Gan
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Republic of Singapore
| | - Ryan E K Man
- Duke-NUS Medical School, Singapore, Republic of Singapore; Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Republic of Singapore
| | - Benjamin K J Tan
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Republic of Singapore
| | - Preeti Gupta
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Republic of Singapore
| | - Kam Chun Ho
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Republic of Singapore; School of Optometry and Visual Science, University of New South Wales, Sydney, Australia; Injury Division, The George Institute for Global Health, Sydney, Australia
| | - Carlos A Reyes-Ortiz
- Institute of Public Health, College of Pharmacy and Pharmaceutical Sciences, Agricultural and Mechanical University, Florida
| | - Stella Trompet
- Leiden University Medical Center, Leiden, The Netherlands
| | | | - Joan M O'Brien
- Scheie Eye Institute, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Sigrid Mueller-Schotte
- University Medical Center Utrecht, Utrecht, The Netherlands; University of Applied Sciences Utrecht, Utrecht, The Netherlands
| | - Tien Yin Wong
- Duke-NUS Medical School, Singapore, Republic of Singapore; Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Republic of Singapore
| | - Yih Chung Tham
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Republic of Singapore
| | - Ching-Yu Cheng
- Duke-NUS Medical School, Singapore, Republic of Singapore; Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Republic of Singapore
| | - Allen T C Lee
- Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Greta Rait
- Department of Primary Care and Population Health, University College London, London, United Kingdom
| | - Bonnielin K Swenor
- Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Varshini Varadaraj
- Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Willa D Brenowitz
- Department of Psychiatry, University of California, San Francisco, California
| | - Felipe A Medeiros
- Department of Ophthalmology, Duke University Eye Center, Durham, North Carolina
| | - Virginie Naël
- Université de Bordeaux, Inserm, Bordeaux Population Health Research Center, Bordeaux, France
| | - Kaavya Narasimhalu
- Duke-NUS Medical School, Singapore, Republic of Singapore; National Neuroscience Institute (Singapore General Hospital Campus), Singapore, Republic of Singapore
| | - Christopher L H Chen
- Memory Aging and Cognition Center, Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Republic of Singapore
| | - Ecosse L Lamoureux
- Duke-NUS Medical School, Singapore, Republic of Singapore; Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Republic of Singapore; Department of Ophthalmology, The University of Melbourne, Melbourne, Australia.
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24
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The Retinal Inner Plexiform Synaptic Layer Mirrors Grey Matter Thickness of Primary Visual Cortex with Increased Amyloid β Load in Early Alzheimer's Disease. Neural Plast 2020; 2020:8826087. [PMID: 33014034 PMCID: PMC7525303 DOI: 10.1155/2020/8826087] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Revised: 08/19/2020] [Accepted: 08/24/2020] [Indexed: 11/17/2022] Open
Abstract
The retina may serve as putative window into neuropathology of synaptic loss in Alzheimer's disease (AD). Here, we investigated synapse-rich layers versus layers composed by nuclei/cell bodies in an early stage of AD. In addition, we examined the associations between retinal changes and molecular and structural markers of cortical damage. We recruited 20 AD patients and 17 healthy controls (HC). Combining optical coherence tomography (OCT), magnetic resonance (MR), and positron emission tomography (PET) imaging, we measured retinal and primary visual cortex (V1) thicknesses, along with V1 amyloid β (Aβ) retention ([11C]-PiB PET tracer) and neuroinflammation ([11C]-PK11195 PET tracer). We found that V1 showed increased amyloid-binding potential, in the absence of neuroinflammation. Although thickness changes were still absent, we identified a positive association between the synapse-rich inner plexiform layer (IPL) and V1 in AD. This retinocortical interplay might reflect changes in synaptic function resulting from Aβ deposition, contributing to early visual loss.
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25
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Subramanian ML, Vig V, Chung J, Fiorello MG, Xia W, Zetterberg H, Blennow K, Zetterberg M, Shareef F, Siegel NH, Ness S, Jun GR, Stein TD. Neurofilament light chain in the vitreous humor of the eye. Alzheimers Res Ther 2020; 12:111. [PMID: 32943089 PMCID: PMC7500015 DOI: 10.1186/s13195-020-00677-4] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Accepted: 09/01/2020] [Indexed: 12/13/2022]
Abstract
BACKGROUND Neurofilament light chain (NfL) is a promising biomarker of neurodegeneration in the cerebrospinal fluid and blood. This study investigated the presence of NfL in the vitreous humor and its associations with amyloid beta, tau, inflammatory cytokines and vascular proteins, apolipoprotein E (APOE) genotypes, Mini-Mental State Examination (MMSE) scores, systemic disease, and ophthalmic diseases. METHODS This is a single-site, prospective, cross-sectional cohort study. Undiluted vitreous fluid (0.5-1.0 mL) was aspirated during vitrectomy, and whole blood was drawn for APOE genotyping. NfL, amyloid beta (Aβ), total Tau (t-Tau), phosphorylated Tau (p-Tau181), inflammatory cytokines, chemokines, and vascular proteins in the vitreous were quantitatively measured by immunoassay. The main outcome measures were the detection of NfL levels in the vitreous humor and its associations with the aforementioned proteins. Linear regression was used to test the associations of NfL with other proteins, APOE genotypes, MMSE scores, and ophthalmic and systemic diseases after adjustment for age, sex, education level, and other eye diseases. RESULTS NfL was detected in all 77 vitreous samples. NfL was not found to be associated with ophthalmic conditions, APOE genotypes, MMSE scores, or systemic disease (p > 0.05). NfL levels were positively associated with increased vitreous levels of Aβ40 (p = 7.7 × 10-5), Aβ42 (p = 2.8 × 10-4), and t-tau (p = 5.5 × 10-7), but not with p-tau181 (p = 0.53). NfL also had significant associations with inflammatory cytokines such as interleukin-15 (IL-15, p = 5.3 × 10-4), IL-16 (p = 2.2 × 10-4), monocyte chemoattractant protein-1 (MCP1, p = 4.1 × 10-4), and vascular proteins such as vascular endothelial growth factor receptor-1 (VEGFR1, p = 2.9 × 10-6), Vegf-C (p = 8.6 × 10-6), vascular cell adhesion molecule-1 (VCAM-1, p = 5.0 × 10-4), Tie-2 (p = 6.3 × 10-4), and intracellular adhesion molecular-1 (ICAM-1, p = 1.6 × 10-4). CONCLUSION NfL is detectable in the vitreous humor of the eye and significantly associated with amyloid beta, t-tau, and select inflammatory and vascular proteins in the vitreous. Additionally, NfL was not associated with patients' clinical eye condition. Our results serve as a foundation for further investigation of NfL in the ocular fluids to inform us about the potential utility of its presence in the eye.
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Affiliation(s)
- Manju L Subramanian
- Department of Ophthalmology, Boston Medical Center, Boston University School of Medicine, 85 E Concord St. #8813, Boston, MA, 02118, USA.
| | - Viha Vig
- Department of Ophthalmology, Boston Medical Center, Boston University School of Medicine, 85 E Concord St. #8813, Boston, MA, 02118, USA
| | - Jaeyoon Chung
- Department of Medicine (Biomedical Genetics Section), Boston University School of Medicine, Boston, MA, USA
| | - Marissa G Fiorello
- Department of Ophthalmology, Boston Medical Center, Boston University School of Medicine, 85 E Concord St. #8813, Boston, MA, 02118, USA
| | - Weiming Xia
- Department of Pharmacology and Experimental Therapeutics, Boston University School of Medicine, Boston, MA, USA
- Geriatric Research Education and Clinical Center, Bedford Veterans Affairs Medical Center, Bedford, MA, USA
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry at Institute of Neuroscience and Physiology, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Diseases, UCL Institute of Neurology, London, UK
- UK Dementia Research Institute at UCL, London, UK
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry at Institute of Neuroscience and Physiology, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Madeleine Zetterberg
- Department of Clinical Neuroscience at Institute of Neuroscience and Physiology, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
| | - Farah Shareef
- Department of Ophthalmology, University of Illinois at Chicago School of Medicine, Chicago, IL, USA
| | - Nicole H Siegel
- Department of Ophthalmology, Boston Medical Center, Boston University School of Medicine, 85 E Concord St. #8813, Boston, MA, 02118, USA
| | - Steven Ness
- Department of Ophthalmology, Boston Medical Center, Boston University School of Medicine, 85 E Concord St. #8813, Boston, MA, 02118, USA
| | - Gyungah R Jun
- Department of Medicine (Biomedical Genetics Section), Boston University School of Medicine, Boston, MA, USA
| | - Thor D Stein
- Boston University Alzheimer's Disease and CTE Center, Boston University School of Medicine, Boston, MA, USA
- Department of Pathology and Laboratory Medicine, Boston Medical Center, Boston University School of Medicine, Boston, MA, USA
- Department of Veterans Affairs Medical Center, VA Boston Healthcare System, Boston, MA, USA
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Wright LM, Stein TD, Jun G, Chung J, McConnell K, Fiorello M, Siegel N, Ness S, Xia W, Turner KL, Subramanian ML. Association of Cognitive Function with Amyloid-β and Tau Proteins in the Vitreous Humor. J Alzheimers Dis 2020; 68:1429-1438. [PMID: 30856114 DOI: 10.3233/jad-181104] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
BACKGROUND The eye may serve as source for diagnostic testing for early detection of Alzheimer's disease (AD). Examination of amyloid-β (Aβ) and tau protein content in human vitreous and its correlation to neuro-cognition may improve ocular-based AD detection methods. OBJECTIVE To evaluate levels of Aβ and tau protein in human vitreous humor and investigate the clinical predictive role of these proteins as early diagnostic markers of AD. METHODS A prospective, single-center, multi-surgeon cohort study. Vitreous humor samples from 80 eyes were measured quantitatively for Aβ40-42, pTau, and tTau. Linear regression was used to test associations between AD biomarker levels, Mini-Mental State Exam (MMSE), and serum apolipoprotein E (APOE) allele status, with adjustment for age, sex, and education level of patients. RESULTS Lower MMSE scores were significantly associated with lower levels of vitreous Aβ40 (p = 0.015), Aβ42 (p = 0.0066), and tTau (p = 0.0085), and these biomarkers were not associated with any pre-existing eye conditions. Presence of the ɛ4 allele and the ɛ2 allele approached significance with reduced Aβ40 level (p = 0.053) and increased p-Tau level (p = 0.056), respectively. CONCLUSION Patients with poor cognitive function have significantly lower vitreous humor levels of AD-related biomarkers Aβ40, Aβ42, and tTau. These biomarkers do not correlate with underlying eye conditions, suggesting their specificity in association with cognitive change. This is the first study to our knowledge to correlate cognition with AD-related proteins in the vitreous humor. Results suggest ocular proteins may have a role for early dementia detection in individuals at risk for AD.
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Affiliation(s)
- Lauren M Wright
- Department of Ophthalmology, Boston University School of Medicine, Boston Medical Center, Boston, MA, USA
| | - Thor D Stein
- Department of Pathology and Laboratory Medicine, Boston University School of Medicine, Boston Medical Center, Boston, MA, USA.,Department of Veterans Affairs Medical Center, Bedford, MA, USA.,VA Boston Healthcare System, Boston, MA, USA.,Boston University Alzheimer's Disease and CTE Center, Boston University School of Medicine, Boston, MA, USA
| | - Gyungah Jun
- Department of Genetics, Boston University School of Medicine, Boston Medical Center, Boston, MA, USA.,Department of Epidemiology and Biostatistics, School of Medicine, Case Western Reserve University, Cleveland, OH, USA
| | - Jaeyoon Chung
- Department of Genetics, Boston University School of Medicine, Boston Medical Center, Boston, MA, USA.,Department of Epidemiology and Biostatistics, School of Medicine, Case Western Reserve University, Cleveland, OH, USA
| | - Kate McConnell
- Department of Ophthalmology, Boston University School of Medicine, Boston Medical Center, Boston, MA, USA
| | - Marissa Fiorello
- Department of Ophthalmology, Boston University School of Medicine, Boston Medical Center, Boston, MA, USA
| | - Nicole Siegel
- Department of Ophthalmology, Boston University School of Medicine, Boston Medical Center, Boston, MA, USA
| | - Steven Ness
- Department of Ophthalmology, Boston University School of Medicine, Boston Medical Center, Boston, MA, USA
| | - Weiming Xia
- Boston University Alzheimer's Disease and CTE Center, Boston University School of Medicine, Boston, MA, USA.,Department of Pharmacology and Experimental Therapeutics, Veterans Affairs Medical Center, Bedford, MA, USA
| | - Kelley L Turner
- Department of Ophthalmology, Boston University School of Medicine, Boston Medical Center, Boston, MA, USA
| | - Manju L Subramanian
- Department of Ophthalmology, Boston University School of Medicine, Boston Medical Center, Boston, MA, USA
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Mavilio A, Sisto D, Prete F, Guadalupi V, Dammacco R, Alessio G. RE-PERG in early-onset Alzheimer's disease: A double-blind, electrophysiological pilot study. PLoS One 2020; 15:e0236568. [PMID: 32790788 PMCID: PMC7425894 DOI: 10.1371/journal.pone.0236568] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2019] [Accepted: 07/08/2020] [Indexed: 12/31/2022] Open
Abstract
PURPOSE To evaluate the ability of re-test pattern electroretinogram (RE-PERG), a non-invasive and fast steady-state PERG, to detect inner retinal bioelectric function anomalies in patients with early-onset Alzheimer's disease (AD). METHODS The study population consisted of 17 patients with AD-related mild cognitive impairment (MCI), 16 patients with vascular dementia (VD)-related MCI, both assessed using the neuropsychological Mini-Mental State Examination (MMSE) and by structural magnetic resonance imaging, and 19 healthy, age-matched normal controls (NC). All participants were visually asymptomatic, had normal or near-normal general cognitive functioning and no or minimal impairments in daily life activities. Visual field (VF) test, optical coherence tomography (OCT) and RE-PERG, sampled in five consecutive blocks of 130 events, were performed. RESULTS There was no statistically significant difference among the three groups with respect to age, VF parameters (mean and pattern standard deviations) and OCT parameters (ganglion cell complex thickness and retinal nerve fiber layer thickness). The mean amplitude in the RE-PERG was significantly lower, but only weakly in the AD group than in NC (p = 0.1) whereas the intrinsic variability of the 2nd harmonic phase was significantly higher in the AD group than in either the VD or NC group (p<0.001). CONCLUSIONS RE-PERG is altered in early-stage AD, showing a reduced amplitude with high intrinsic phase variability. It also allows the discrimination of AD from VD. A high intrinsic variability in the PERG signal, determined using RE-PERG, may thus be a new promising test for neurodegenerative diseases.
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Affiliation(s)
- Alberto Mavilio
- Social Health District, Glaucoma Center, Azienda Sanitaria Locale–Brindisi, Brindisi, Italy
| | - Dario Sisto
- Department of Neurosciences, Institute of Ophthalmology, University of Bari, Bari, Italy
| | - Florenza Prete
- Social Health District, Alzheimer Evaluation Units, Azienda Sanitaria Locale—Brindisi, Brindisi, Italy
| | - Viviana Guadalupi
- Social Health District, Alzheimer Evaluation Units, Azienda Sanitaria Locale—Brindisi, Brindisi, Italy
| | - Rosanna Dammacco
- Department of Neurosciences, Institute of Ophthalmology, University of Bari, Bari, Italy
| | - Giovanni Alessio
- Department of Neurosciences, Institute of Ophthalmology, University of Bari, Bari, Italy
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Shi Z, Cao X, Hu J, Jiang L, Mei X, Zheng H, Chen Y, Wang M, Cao J, Li W, Li T, Li C, Shen Y. Retinal nerve fiber layer thickness is associated with hippocampus and lingual gyrus volumes in nondemented older adults. Prog Neuropsychopharmacol Biol Psychiatry 2020; 99:109824. [PMID: 31765713 DOI: 10.1016/j.pnpbp.2019.109824] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2019] [Revised: 11/14/2019] [Accepted: 11/15/2019] [Indexed: 01/18/2023]
Abstract
OBJECTIVES Abnormal retina structures, such as thinner retinal nerve fiber layer (RNFL), have been frequently reported in patients with Alzheimer's disease (AD). However, the association between RNFL and brain structures in cognitively normal adults remains unknown. We therefore set out to conduct a cross-sectional investigation to determine whether RNFL thickness is associated with brain structure volumes in nondemented older adults. METHODS We measured RNFL thickness by optical coherence tomography and brain structure volumes by 3 T magnetic resonance imaging. Cognitive function was assessed using the Chinese version of Repeatable Battery for the Assessment of Neurological Status. Pearson correlation was initially employed to screen for the potential associations among RNFL thickness, brain structure volumes and cognitive function. And then, multivariable linear regression models were conducted to further examine such associations adjusting for possible confounding factors, including age, sex, years of education and the estimated total intracranial volume (eTIV). RESULTS 113 participants (≥ 65 years old) were screened and 80 of them (mean age: 68 ± 5.3 years; 48% male) were included in the final analysis. RNFL thickness in temporal quadrant was associated with medial temporal lobes volumes [unadjusted: r = 0.155, P = 0.175; adjusted: β = 0.205 (0.014, 0.383), P = 0.035], and especially associated with the hippocampus volume [unadjusted: r = 0.213, P = 0.062; adjusted: β = 0.251 (0.060, 0.435), P = 0.011] after adjusted for age, sex, years of education and eTIV. Moreover, it showed that RNFL thickness in inferior quadrant [unadjusted: r = 0.221, P = 0.052; adjusted: β = 0.226 (0.010. 0.446), P = 0.041] was significantly associated with occipital lobes volumes after the adjustment of age, sex, years of education and eTIV, and selectively associated with the substructure of lingual gyrus volume [unadjusted: r = 0.223, P = 0.050; adjusted: β = 0.278 (0.058, 0.487), P = 0.014]. In addition, average RNFL thickness was associated with the cognitive domain of visuospatial/constructional [unadjusted: r = 0.114, P = 0.322; adjusted: β = 0.216 (0.006, 0.426), P = 0.044] after the adjustment in these nondemented older adults. CONCLUSIONS Quadrant-specific associations exist between RNFL thickness and brain regions vulnerable to aging or neurodegeneration in older adults with normal cognition. These findings would promote further investigations into using RNFL as a noninvasive and less expensive biomarker of neurocognitive aging and AD-related neurodegeneration.
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Affiliation(s)
- Zhongyong Shi
- Department of Psychiatry, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, PR China; Anesthesia and Brain Research Institute, Tongji University School of Medicine, Shanghai 200072, PR China
| | - Xinyi Cao
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, PR China
| | - Jingxiao Hu
- Soochow University School of Medicine, Suzhou 215006, PR China
| | - Lijuan Jiang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, PR China
| | - Xinchun Mei
- Department of Psychiatry, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, PR China; Anesthesia and Brain Research Institute, Tongji University School of Medicine, Shanghai 200072, PR China
| | - Hailin Zheng
- Department of Psychiatry, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, PR China; Anesthesia and Brain Research Institute, Tongji University School of Medicine, Shanghai 200072, PR China
| | - Yupeng Chen
- Department of Psychiatry, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, PR China; Anesthesia and Brain Research Institute, Tongji University School of Medicine, Shanghai 200072, PR China
| | - Meijuan Wang
- Department of Psychiatry, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, PR China
| | - Jing Cao
- Department of Psychiatry, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, PR China
| | - Wei Li
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, PR China
| | - Ting Li
- Department of Geriatric Psychiatry, Shanghai, Changning Mental Health Center, Shanghai 200335, PR China
| | - Chunbo Li
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, PR China; Institute of Psychology and Behavioral Science, Shanghai Jiao Tong University, Shanghai 200030, PR China.
| | - Yuan Shen
- Department of Psychiatry, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, PR China; Anesthesia and Brain Research Institute, Tongji University School of Medicine, Shanghai 200072, PR China.
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29
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Loganovsky KN, Marazziti D, Fedirko PA, Kuts KV, Antypchuk KY, Perchuk IV, Babenko TF, Loganovska TK, Kolosynska OO, Kreinis GY, Gresko MV, Masiuk SV, Mucci F, Zdorenko LL, Della Vecchia A, Zdanevich NA, Garkava NA, Dorichevska RY, Vasilenko ZL, Kravchenko VI, Drosdova NV. Radiation-Induced Cerebro-Ophthalmic Effects in Humans. Life (Basel) 2020; 10:E41. [PMID: 32316206 PMCID: PMC7235763 DOI: 10.3390/life10040041] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2020] [Revised: 04/08/2020] [Accepted: 04/12/2020] [Indexed: 12/15/2022] Open
Abstract
Exposure to ionizing radiation (IR) could affect the human brain and eyes leading to both cognitive and visual impairments. The aim of this paper was to review and analyze the current literature, and to comment on the ensuing findings in the light of our personal contributions in this field. The review was carried out according to the PRISMA guidelines by searching PubMed, Scopus, Embase, PsycINFO and Google Scholar English papers published from January 2000 to January 2020. The results showed that prenatally or childhood-exposed individuals are a particular target group with a higher risk for possible radiation effects and neurodegenerative diseases. In adulthood and medical/interventional radiologists, the most frequent IR-induced ophthalmic effects include cataracts, glaucoma, optic neuropathy, retinopathy and angiopathy, sometimes associated with specific neurocognitive deficits. According to available information that eye alterations may induce or may be associated with brain dysfunctions and vice versa, we propose to label this relationship "eye-brain axis", as well as to deepen the diagnosis of eye pathologies as early and easily obtainable markers of possible low dose IR-induced brain damage.
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Affiliation(s)
- Konstantin N. Loganovsky
- National Research Center for Radiation Medicine of the National Academy of Medical Sciences of Ukraine, 53 Illyenko Street, 04050 Kyiv, Ukraine; (K.N.L.); (P.A.F.); (K.V.K.); (K.Y.A.); (I.V.P.); (T.F.B.); (T.K.L.); (O.O.K.); (G.Y.K.); (M.V.G.); (S.V.M.); (L.L.Z.); (N.A.Z.); (R.Y.D.); (Z.L.V.); (V.I.K.); (N.V.D.)
| | - Donatella Marazziti
- Dipartimento di Medicina Clinica e Sperimentale Section of Psychiatry, University of Pisa, Via Roma, 67, I 56100 Pisa, Italy; (F.M.); (A.D.V.)
| | - Pavlo A. Fedirko
- National Research Center for Radiation Medicine of the National Academy of Medical Sciences of Ukraine, 53 Illyenko Street, 04050 Kyiv, Ukraine; (K.N.L.); (P.A.F.); (K.V.K.); (K.Y.A.); (I.V.P.); (T.F.B.); (T.K.L.); (O.O.K.); (G.Y.K.); (M.V.G.); (S.V.M.); (L.L.Z.); (N.A.Z.); (R.Y.D.); (Z.L.V.); (V.I.K.); (N.V.D.)
| | - Kostiantyn V. Kuts
- National Research Center for Radiation Medicine of the National Academy of Medical Sciences of Ukraine, 53 Illyenko Street, 04050 Kyiv, Ukraine; (K.N.L.); (P.A.F.); (K.V.K.); (K.Y.A.); (I.V.P.); (T.F.B.); (T.K.L.); (O.O.K.); (G.Y.K.); (M.V.G.); (S.V.M.); (L.L.Z.); (N.A.Z.); (R.Y.D.); (Z.L.V.); (V.I.K.); (N.V.D.)
| | - Katerina Y. Antypchuk
- National Research Center for Radiation Medicine of the National Academy of Medical Sciences of Ukraine, 53 Illyenko Street, 04050 Kyiv, Ukraine; (K.N.L.); (P.A.F.); (K.V.K.); (K.Y.A.); (I.V.P.); (T.F.B.); (T.K.L.); (O.O.K.); (G.Y.K.); (M.V.G.); (S.V.M.); (L.L.Z.); (N.A.Z.); (R.Y.D.); (Z.L.V.); (V.I.K.); (N.V.D.)
| | - Iryna V. Perchuk
- National Research Center for Radiation Medicine of the National Academy of Medical Sciences of Ukraine, 53 Illyenko Street, 04050 Kyiv, Ukraine; (K.N.L.); (P.A.F.); (K.V.K.); (K.Y.A.); (I.V.P.); (T.F.B.); (T.K.L.); (O.O.K.); (G.Y.K.); (M.V.G.); (S.V.M.); (L.L.Z.); (N.A.Z.); (R.Y.D.); (Z.L.V.); (V.I.K.); (N.V.D.)
| | - Tetyana F. Babenko
- National Research Center for Radiation Medicine of the National Academy of Medical Sciences of Ukraine, 53 Illyenko Street, 04050 Kyiv, Ukraine; (K.N.L.); (P.A.F.); (K.V.K.); (K.Y.A.); (I.V.P.); (T.F.B.); (T.K.L.); (O.O.K.); (G.Y.K.); (M.V.G.); (S.V.M.); (L.L.Z.); (N.A.Z.); (R.Y.D.); (Z.L.V.); (V.I.K.); (N.V.D.)
| | - Tetyana K. Loganovska
- National Research Center for Radiation Medicine of the National Academy of Medical Sciences of Ukraine, 53 Illyenko Street, 04050 Kyiv, Ukraine; (K.N.L.); (P.A.F.); (K.V.K.); (K.Y.A.); (I.V.P.); (T.F.B.); (T.K.L.); (O.O.K.); (G.Y.K.); (M.V.G.); (S.V.M.); (L.L.Z.); (N.A.Z.); (R.Y.D.); (Z.L.V.); (V.I.K.); (N.V.D.)
| | - Olena O. Kolosynska
- National Research Center for Radiation Medicine of the National Academy of Medical Sciences of Ukraine, 53 Illyenko Street, 04050 Kyiv, Ukraine; (K.N.L.); (P.A.F.); (K.V.K.); (K.Y.A.); (I.V.P.); (T.F.B.); (T.K.L.); (O.O.K.); (G.Y.K.); (M.V.G.); (S.V.M.); (L.L.Z.); (N.A.Z.); (R.Y.D.); (Z.L.V.); (V.I.K.); (N.V.D.)
| | - George Y. Kreinis
- National Research Center for Radiation Medicine of the National Academy of Medical Sciences of Ukraine, 53 Illyenko Street, 04050 Kyiv, Ukraine; (K.N.L.); (P.A.F.); (K.V.K.); (K.Y.A.); (I.V.P.); (T.F.B.); (T.K.L.); (O.O.K.); (G.Y.K.); (M.V.G.); (S.V.M.); (L.L.Z.); (N.A.Z.); (R.Y.D.); (Z.L.V.); (V.I.K.); (N.V.D.)
| | - Marina V. Gresko
- National Research Center for Radiation Medicine of the National Academy of Medical Sciences of Ukraine, 53 Illyenko Street, 04050 Kyiv, Ukraine; (K.N.L.); (P.A.F.); (K.V.K.); (K.Y.A.); (I.V.P.); (T.F.B.); (T.K.L.); (O.O.K.); (G.Y.K.); (M.V.G.); (S.V.M.); (L.L.Z.); (N.A.Z.); (R.Y.D.); (Z.L.V.); (V.I.K.); (N.V.D.)
| | - Sergii V. Masiuk
- National Research Center for Radiation Medicine of the National Academy of Medical Sciences of Ukraine, 53 Illyenko Street, 04050 Kyiv, Ukraine; (K.N.L.); (P.A.F.); (K.V.K.); (K.Y.A.); (I.V.P.); (T.F.B.); (T.K.L.); (O.O.K.); (G.Y.K.); (M.V.G.); (S.V.M.); (L.L.Z.); (N.A.Z.); (R.Y.D.); (Z.L.V.); (V.I.K.); (N.V.D.)
| | - Federico Mucci
- Dipartimento di Medicina Clinica e Sperimentale Section of Psychiatry, University of Pisa, Via Roma, 67, I 56100 Pisa, Italy; (F.M.); (A.D.V.)
- Dipartimento di Biochimica Biologia Molecolare, University of Siena, 53100 Siena, Italy
| | - Leonid L. Zdorenko
- National Research Center for Radiation Medicine of the National Academy of Medical Sciences of Ukraine, 53 Illyenko Street, 04050 Kyiv, Ukraine; (K.N.L.); (P.A.F.); (K.V.K.); (K.Y.A.); (I.V.P.); (T.F.B.); (T.K.L.); (O.O.K.); (G.Y.K.); (M.V.G.); (S.V.M.); (L.L.Z.); (N.A.Z.); (R.Y.D.); (Z.L.V.); (V.I.K.); (N.V.D.)
| | - Alessandra Della Vecchia
- Dipartimento di Medicina Clinica e Sperimentale Section of Psychiatry, University of Pisa, Via Roma, 67, I 56100 Pisa, Italy; (F.M.); (A.D.V.)
| | - Natalia A. Zdanevich
- National Research Center for Radiation Medicine of the National Academy of Medical Sciences of Ukraine, 53 Illyenko Street, 04050 Kyiv, Ukraine; (K.N.L.); (P.A.F.); (K.V.K.); (K.Y.A.); (I.V.P.); (T.F.B.); (T.K.L.); (O.O.K.); (G.Y.K.); (M.V.G.); (S.V.M.); (L.L.Z.); (N.A.Z.); (R.Y.D.); (Z.L.V.); (V.I.K.); (N.V.D.)
| | - Natalia A. Garkava
- Dnipropetrovsk Medical Academy of the Ministry of Health of Ukraine, 9 Vernadsky Street, 49044 Dnipro, Ukraine;
| | - Raisa Y. Dorichevska
- National Research Center for Radiation Medicine of the National Academy of Medical Sciences of Ukraine, 53 Illyenko Street, 04050 Kyiv, Ukraine; (K.N.L.); (P.A.F.); (K.V.K.); (K.Y.A.); (I.V.P.); (T.F.B.); (T.K.L.); (O.O.K.); (G.Y.K.); (M.V.G.); (S.V.M.); (L.L.Z.); (N.A.Z.); (R.Y.D.); (Z.L.V.); (V.I.K.); (N.V.D.)
| | - Zlata L. Vasilenko
- National Research Center for Radiation Medicine of the National Academy of Medical Sciences of Ukraine, 53 Illyenko Street, 04050 Kyiv, Ukraine; (K.N.L.); (P.A.F.); (K.V.K.); (K.Y.A.); (I.V.P.); (T.F.B.); (T.K.L.); (O.O.K.); (G.Y.K.); (M.V.G.); (S.V.M.); (L.L.Z.); (N.A.Z.); (R.Y.D.); (Z.L.V.); (V.I.K.); (N.V.D.)
| | - Victor I. Kravchenko
- National Research Center for Radiation Medicine of the National Academy of Medical Sciences of Ukraine, 53 Illyenko Street, 04050 Kyiv, Ukraine; (K.N.L.); (P.A.F.); (K.V.K.); (K.Y.A.); (I.V.P.); (T.F.B.); (T.K.L.); (O.O.K.); (G.Y.K.); (M.V.G.); (S.V.M.); (L.L.Z.); (N.A.Z.); (R.Y.D.); (Z.L.V.); (V.I.K.); (N.V.D.)
| | - Nataliya V. Drosdova
- National Research Center for Radiation Medicine of the National Academy of Medical Sciences of Ukraine, 53 Illyenko Street, 04050 Kyiv, Ukraine; (K.N.L.); (P.A.F.); (K.V.K.); (K.Y.A.); (I.V.P.); (T.F.B.); (T.K.L.); (O.O.K.); (G.Y.K.); (M.V.G.); (S.V.M.); (L.L.Z.); (N.A.Z.); (R.Y.D.); (Z.L.V.); (V.I.K.); (N.V.D.)
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Yoon SP, Thompson AC, Polascik BW, Calixte C, Burke JR, Petrella JR, Grewal DS, Fekrat S. Correlation of OCTA and Volumetric MRI in Mild Cognitive Impairment and Alzheimer's Disease. Ophthalmic Surg Lasers Imaging Retina 2020; 50:709-718. [PMID: 31755970 DOI: 10.3928/23258160-20191031-06] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2018] [Accepted: 03/26/2019] [Indexed: 11/20/2022]
Abstract
BACKGROUD AND OBJECTIVE To evaluate the relationship between retinal microvascular parameters on optical coherence tomography angiography (OCTA) and neurodegenerative changes assessed by measurement of brain volume on volumetric magnetic resonance imaging (MRI) in Alzheimer's disease (AD) and mild cognitive impairment (MCI). PATIENTS AND METHODS Sixteen subjects with AD and MCI underwent OCTA imaging (3 mm × 3 mm and 6 mm × 6 mm scans) and volumetric brain MRI imaging with automated volumetric segmentation and quantification. Spearman's correlation (ρ) was performed between forebrain parenchyma, cortical gray matter, inferolateral ventricle (ILV), lateral ventricle (LV), and hippocampus (HP) MRI volumes and vessel density (VD), along with perfusion density (PD) for the 6-mm circle, 6-mm ring, 3-mm circle, and 3-mm ring Early Treatment Diabetic Retinopathy Study regions of the superficial capillary plexus. RESULTS Thirty eyes of 16 patients (seven MCI and nine AD) with good-quality OCTA images were analyzed. ILV volume inversely correlated with the VD in the 6-mm circle (ρ = -0 .565, P = .028) and 3-mm ring (ρ = -0.569, P = .027) and PD in the 3-mm ring (ρ = -0.605, P = .0169). Forebrain, cortical gray matter, LV, and HP volumes did not significantly correlate with either VD or PD (P > .05). CONCLUSIONS In this pilot investigation, the authors found a significant correlation between reduction in the superficial capillary plexus VD and PD on OCTA and expansion of the ILV in MCI and AD. This relationship between the retinal microvasculature and cerebral volumetric changes deserves further investigation. [Ophthalmic Surg Lasers Imaging Retina. 2019;50:709-718.].
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31
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Jorge L, Canário N, Quental H, Bernardes R, Castelo-Branco M. Is the Retina a Mirror of the Aging Brain? Aging of Neural Retina Layers and Primary Visual Cortex Across the Lifespan. Front Aging Neurosci 2020; 11:360. [PMID: 31998115 PMCID: PMC6961569 DOI: 10.3389/fnagi.2019.00360] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2019] [Accepted: 12/10/2019] [Indexed: 01/13/2023] Open
Abstract
How aging concomitantly modulates the structural integrity of the brain and retina in healthy individuals remains an outstanding question. Given the strong bottom-up retinocortical connectivity, it is important to study how these structures co-evolve during healthy aging in order to unravel mechanisms that may affect the physiological integrity of both structures. For the 56 participants in the study, primary visual cortex (BA17), as well as frontal, parietal and temporal regions thicknesses were measured in T1-weighted magnetic resonance imaging (MRI), and retinal macular thickness (10 neuroretinal layers) was measured by optical coherence tomography (OCT) imaging. We investigated the statistical association of these measures and their age dependence. We found an age-related decay of primary visual cortical thickness that was significantly correlated with a decrease in global and multiple layer retinal thicknesses. The atrophy of both structures might jointly account for the decline of various visual capacities that accompany the aging process. Furthermore, associations with other cortical regions suggest that retinal status may index cortical integrity in general.
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Affiliation(s)
- Lília Jorge
- Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), University of Coimbra, Coimbra, Portugal.,Institute for Nuclear Sciences Applied to Health (ICNAS), University of Coimbra, Coimbra, Portugal
| | - Nádia Canário
- Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), University of Coimbra, Coimbra, Portugal.,Institute for Nuclear Sciences Applied to Health (ICNAS), University of Coimbra, Coimbra, Portugal
| | - Hugo Quental
- Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), University of Coimbra, Coimbra, Portugal.,Institute for Nuclear Sciences Applied to Health (ICNAS), University of Coimbra, Coimbra, Portugal
| | - Rui Bernardes
- Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), University of Coimbra, Coimbra, Portugal.,Institute for Nuclear Sciences Applied to Health (ICNAS), University of Coimbra, Coimbra, Portugal.,Faculty of Medicine, University of Coimbra, Coimbra, Portugal
| | - Miguel Castelo-Branco
- Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), University of Coimbra, Coimbra, Portugal.,Institute for Nuclear Sciences Applied to Health (ICNAS), University of Coimbra, Coimbra, Portugal.,Faculty of Medicine, University of Coimbra, Coimbra, Portugal
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32
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Loganovsky KN, Fedirko PA, Kuts KV, Marazziti D, Antypchuk KY, Perchuk IV, Babenko TF, Loganovska TK, Kolosynska OO, Kreinis GY, Gresko MV, Masiuk SV, Zdorenko LL, Zdanevich NA, Garkava NA, Dorichevska RY, Vasilenko ZL, Kravchenko VI, Drosdova NV, Yefimova YV. BRAIN AND EYE AS POTENTIAL TARGETS FOR IONIZING RADIATION IMPACT. Part І. THE CONSEQUENCES OF IRRADIATION OF THE PARTICIPANTS OF THE LIQUIDATION OF THE CHORNOBYL ACCIDENT. PROBLEMY RADIAT︠S︡IĬNOÏ MEDYT︠S︡YNY TA RADIOBIOLOHIÏ 2020; 25:90-129. [PMID: 33361831 DOI: 10.33145/2304-8336-2020-25-90-129] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/03/2020] [Indexed: 12/19/2022]
Abstract
BACKGROUND Exposure to ionizing radiation could affect the brain and eyes leading to cognitive and vision impairment, behavior disorders and performance decrement during professional irradiation at medical radiology, includinginterventional radiological procedures, long-term space flights, and radiation accidents. OBJECTIVE The objective was to analyze the current experimental, epidemiological, and clinical data on the radiation cerebro-ophthalmic effects. MATERIALS AND METHODS In our analytical review peer-reviewed publications via the bibliographic and scientometric bases PubMed / MEDLINE, Scopus, Web of Science, and selected papers from the library catalog of NRCRM - theleading institution in the field of studying the medical effects of ionizing radiation - were used. RESULTS The probable radiation-induced cerebro-ophthalmic effects in human adults comprise radiation cataracts,radiation glaucoma, radiation-induced optic neuropathy, retinopathies, angiopathies as well as specific neurocognitive deficit in the various neuropsychiatric pathology including cerebrovascular pathology and neurodegenerativediseases. Specific attention is paid to the likely stochastic nature of many of those effects. Those prenatally and inchildhood exposed are a particular target group with a higher risk for possible radiation effects and neurodegenerative diseases. CONCLUSIONS The experimental, clinical, epidemiological, anatomical and pathophysiological rationale for visualsystem and central nervous system (CNS) radiosensitivity is given. The necessity for further international studieswith adequate dosimetric support and the follow-up medical and biophysical monitoring of high radiation riskcohorts is justified. The first part of the study currently being published presents the results of the study of theeffects of irradiation in the participants of emergency works at the Chornobyl Nuclear Power Plant (ChNPP).
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Affiliation(s)
- K N Loganovsky
- State Institution «National Research Center for Radiation Medicine of the National Academy of Medical Sciences of Ukraine», 53 Illyenko Street, Kyiv, 04050, Ukraine
| | - P A Fedirko
- State Institution «National Research Center for Radiation Medicine of the National Academy of Medical Sciences of Ukraine», 53 Illyenko Street, Kyiv, 04050, Ukraine
| | - K V Kuts
- State Institution «National Research Center for Radiation Medicine of the National Academy of Medical Sciences of Ukraine», 53 Illyenko Street, Kyiv, 04050, Ukraine
| | - D Marazziti
- Dipartimento di Medicina Clinica e Sperimentale Section of Psychiatry, University of Pisa, Via Roma, 67, I 56100, Pisa, Italy
| | - K Yu Antypchuk
- State Institution «National Research Center for Radiation Medicine of the National Academy of Medical Sciences of Ukraine», 53 Illyenko Street, Kyiv, 04050, Ukraine
| | - I V Perchuk
- State Institution «National Research Center for Radiation Medicine of the National Academy of Medical Sciences of Ukraine», 53 Illyenko Street, Kyiv, 04050, Ukraine
| | - T F Babenko
- State Institution «National Research Center for Radiation Medicine of the National Academy of Medical Sciences of Ukraine», 53 Illyenko Street, Kyiv, 04050, Ukraine
| | - T K Loganovska
- State Institution «National Research Center for Radiation Medicine of the National Academy of Medical Sciences of Ukraine», 53 Illyenko Street, Kyiv, 04050, Ukraine
| | - O O Kolosynska
- State Institution «National Research Center for Radiation Medicine of the National Academy of Medical Sciences of Ukraine», 53 Illyenko Street, Kyiv, 04050, Ukraine
| | - G Yu Kreinis
- State Institution «National Research Center for Radiation Medicine of the National Academy of Medical Sciences of Ukraine», 53 Illyenko Street, Kyiv, 04050, Ukraine
| | - M V Gresko
- State Institution «National Research Center for Radiation Medicine of the National Academy of Medical Sciences of Ukraine», 53 Illyenko Street, Kyiv, 04050, Ukraine
| | - S V Masiuk
- State Institution «National Research Center for Radiation Medicine of the National Academy of Medical Sciences of Ukraine», 53 Illyenko Street, Kyiv, 04050, Ukraine
| | - L L Zdorenko
- State Institution «National Research Center for Radiation Medicine of the National Academy of Medical Sciences of Ukraine», 53 Illyenko Street, Kyiv, 04050, Ukraine
| | - N A Zdanevich
- State Institution «National Research Center for Radiation Medicine of the National Academy of Medical Sciences of Ukraine», 53 Illyenko Street, Kyiv, 04050, Ukraine
| | - N A Garkava
- State Institution «Dnipropetrovsk Medical Academy of the Ministry of Health of Ukraine», 9 Vernadsky Street, Dnipro, 49044, Ukraine
| | - R Yu Dorichevska
- State Institution «National Research Center for Radiation Medicine of the National Academy of Medical Sciences of Ukraine», 53 Illyenko Street, Kyiv, 04050, Ukraine
| | - Z L Vasilenko
- State Institution «National Research Center for Radiation Medicine of the National Academy of Medical Sciences of Ukraine», 53 Illyenko Street, Kyiv, 04050, Ukraine
| | - V I Kravchenko
- State Institution «National Research Center for Radiation Medicine of the National Academy of Medical Sciences of Ukraine», 53 Illyenko Street, Kyiv, 04050, Ukraine
| | - N V Drosdova
- State Institution «National Research Center for Radiation Medicine of the National Academy of Medical Sciences of Ukraine», 53 Illyenko Street, Kyiv, 04050, Ukraine
| | - Yu V Yefimova
- State Institution «National Research Center for Radiation Medicine of the National Academy of Medical Sciences of Ukraine», 53 Illyenko Street, Kyiv, 04050, Ukraine
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den Haan J, van de Kreeke JA, Konijnenberg E, ten Kate M, den Braber A, Barkhof F, van Berckel BN, Teunissen CE, Scheltens P, Visser PJ, Verbraak FD, Bouwman FH. Retinal thickness as a potential biomarker in patients with amyloid-proven early- and late-onset Alzheimer's disease. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2019; 11:463-471. [PMID: 31249859 PMCID: PMC6584766 DOI: 10.1016/j.dadm.2019.05.002] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Introduction Retinal thickness measured with optical coherence tomography has been proposed as a noninvasive biomarker for Alzheimer's disease (AD). We therefore measured retinal thickness in well-characterized AD and control participants, considering ophthalmological confounders. Methods We included 57 amyloid-proven AD cases and 85 cognitively normal, amyloid-negative controls. All subjects underwent retinal thickness measurements with spectral domain optical coherence tomography and an ophthalmological assessment to exclude ocular disease. Results Retinal thickness did not discriminate cases from controls, including stratified analyses for early- versus late-onset AD. We found significant associations between macular thickness and global cortical atrophy [β -0.358; P = .01] and parietal cortical atrophy on magnetic resonance imaging [β -0.371; P < .01] in AD cases. Discussion In this study, representing the largest optical coherence tomography cohort with amyloid-proven AD cases, we show that retinal thickness does not discriminate AD from controls, despite evident changes on clinical, neuroimaging, and CSF measures, querying the use of retinal thickness measurements as an AD biomarker.
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Affiliation(s)
- Jurre den Haan
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Jacoba A. van de Kreeke
- Department of Ophthalmology, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Elles Konijnenberg
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Mara ten Kate
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Anouk den Braber
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- UCL Institutes of Neurology and Healthcare Engineering, London, UK
| | - Bart N. van Berckel
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Charlotte E. Teunissen
- Department of Clinical Chemistry, Neurochemistry Lab and Biobank, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Philip Scheltens
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Pieter Jelle Visser
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Alzheimer Center, School for Mental Health and Neuroscience (MHeNS), University Medical Centre, Maastricht, the Netherlands
| | - Frank D. Verbraak
- Department of Ophthalmology, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Femke H. Bouwman
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
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Yatawara C, Lee D, Ng KP, Chander R, Ng D, Ji F, Shim HY, Hilal S, Venketasubramanian N, Chen C, Zhou J, Kandiah N. Mechanisms Linking White Matter Lesions, Tract Integrity, and Depression in Alzheimer Disease. Am J Geriatr Psychiatry 2019; 27:948-959. [PMID: 31109898 DOI: 10.1016/j.jagp.2019.04.004] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2018] [Revised: 04/04/2019] [Accepted: 04/12/2019] [Indexed: 10/27/2022]
Abstract
OBJECTIVE Late-life depression involves the disconnection of white matter tracts that regulate mood. A pathogenic link between poor tract integrity and depressive symptoms is believed to be white matter lesions (WML), however the mechanisms linking tract integrity, WML, and depression remains unexplored. The authors sought to identify whether the association between reduced tract integrity and depressive symptoms is mediated by WML in patients with Alzheimer disease (AD), and whether individual characteristics moderate this effect. METHODS This was a cross-sectional study in a tertiary memory clinic. A total of 91 patients with mild AD and 79 healthy elderly, comparable in depressive symptoms, white matter hyperintensities (WMH) volume, cardiovascular risk, age, and sex were chosen. Tract integrity was assessed using diffusion tensor imaging, WML were indexed as WMH, measured using fluid-attenuation inversion recovery imaging, and depressive symptoms were measured with the informant-based Geriatric Depression Scale. RESULTS In patients with mild AD, reduced tract integrity in right hemispheric cortical-subcortical tracts and the genu of the corpus callosum was moderately associated with depressive symptoms. This association was fully mediated by WML. Moderation analysis indicated that old age strengthened the association between all tracts and depressive symptoms, as mediated by WML. In cognitively healthy elderly, neither tracts nor WML were related to depressive symptoms. CONCLUSION Reduced tract integrity may be important but not sufficient for the manifestation of depressive symptoms in mild AD. Instead, WML may drive the pathogenic link between reduced tract integrity and depressive symptoms.
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Affiliation(s)
- Chathuri Yatawara
- Department of Neurology (CY, DL, KPN, RC, DN, NK), National Neuroscience Institute, Singapore, Singapore
| | - Daryl Lee
- Department of Neurology (CY, DL, KPN, RC, DN, NK), National Neuroscience Institute, Singapore, Singapore
| | - Kok Pin Ng
- Department of Neurology (CY, DL, KPN, RC, DN, NK), National Neuroscience Institute, Singapore, Singapore
| | - Russell Chander
- Department of Neurology (CY, DL, KPN, RC, DN, NK), National Neuroscience Institute, Singapore, Singapore
| | - Debby Ng
- Department of Neurology (CY, DL, KPN, RC, DN, NK), National Neuroscience Institute, Singapore, Singapore
| | - Fang Ji
- Center for Cognitive Neuroscience, Neuroscience and Behavioral Disorders Program (FJ, HYS, JZ, NK), Duke-NUS Medical School, Singapore
| | - Hee Youn Shim
- Center for Cognitive Neuroscience, Neuroscience and Behavioral Disorders Program (FJ, HYS, JZ, NK), Duke-NUS Medical School, Singapore
| | - Saima Hilal
- National University Health System (SH, CC), Memory Aging & Cognition Centre, Singapore
| | | | - Christopher Chen
- National University Health System (SH, CC), Memory Aging & Cognition Centre, Singapore
| | - Juan Zhou
- Center for Cognitive Neuroscience, Neuroscience and Behavioral Disorders Program (FJ, HYS, JZ, NK), Duke-NUS Medical School, Singapore
| | - Nagaendran Kandiah
- Department of Neurology (CY, DL, KPN, RC, DN, NK), National Neuroscience Institute, Singapore, Singapore; Center for Cognitive Neuroscience, Neuroscience and Behavioral Disorders Program (FJ, HYS, JZ, NK), Duke-NUS Medical School, Singapore.
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35
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Cabrera DeBuc D, Gaca-Wysocka M, Grzybowski A, Kanclerz P. Identification of Retinal Biomarkers in Alzheimer's Disease Using Optical Coherence Tomography: Recent Insights, Challenges, and Opportunities. J Clin Med 2019; 8:jcm8070996. [PMID: 31323964 PMCID: PMC6678943 DOI: 10.3390/jcm8070996] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2019] [Revised: 06/30/2019] [Accepted: 07/04/2019] [Indexed: 12/20/2022] Open
Abstract
This review will highlight recent insights into measuring retinal structure in Alzheimer’s disease (AD). A growing body of evidence indicates that disturbances in retinal blood flow and structure are related to cognitive function, which can severely impair vision. Optical coherence tomography (OCT) is an optical imaging technology that may allow researchers and physicians to gain deeper insights into retinal morphology and clarify the impact of AD on retinal health and function. Direct and noninvasive measurement of retinal morphology using OCT has provided useful diagnostic and therapeutic indications in several central nervous system (CNS) diseases, including AD, multiple sclerosis, and Parkinson disease. Despite several limitations, morphology assessment in the retinal layers is a significant advancement in the understanding of ocular diseases. Nevertheless, additional studies are required to validate the use of OCT in AD and its complications in the eye.
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Affiliation(s)
- Delia Cabrera DeBuc
- Bascom Palmer Eye Institute, Department of Ophthalmology, Miller School of Medicine, University of Miami, Miami, FL 33136, USA.
| | | | - Andrzej Grzybowski
- Department of Ophthalmology, University of Warmia and Mazury, 10-082 Olsztyn, Poland
- Institute for Research in Ophthalmology, Foundation for Ophthalmology Development, 60-554 Poznan, Poland
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36
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Tao R, Lu Z, Ding D, Fu S, Hong Z, Liang X, Zheng L, Xiao Y, Zhao Q. Perifovea retinal thickness as an ophthalmic biomarker for mild cognitive impairment and early Alzheimer's disease. ALZHEIMER'S & DEMENTIA: DIAGNOSIS, ASSESSMENT & DISEASE MONITORING 2019; 11:405-414. [PMID: 31206006 PMCID: PMC6558027 DOI: 10.1016/j.dadm.2019.04.003] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Introduction The aim of this study was to investigate retinal thickness as a biomarker for identifying patients with mild cognitive impairment (MCI) and Alzheimer's disease (AD). Methods The retinal thickness, utilizing the spectral domain optical coherence tomography, was compared among 73 patients with AD, 51 patients with MCI, 67 cognitive normal control (NC) subjects. Results The retinal thickness of ganglion cell complex and peripapillary retinal nerve fiber layer decreased in both AD and MCI patients, in comparison with NC subjects (AD vs. NC, P < .01; MCI vs. NC, P < .01). The inner retinal layers in macular area in MCI exhibited significant thinning compared with NC (P < .001). Remarkable association was found between the retinal thickness and brain volume (P < .05). Better correlation was seen between the inner perifovea retinal thickness and the hippocampal and entorhinal cortex volume (r: 0.427–0.644, P < .01). Discussion The retinal thickness, especially the inner retinal layer thickness, is a potentially early AD marker indicating neurodegeneration.
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Affiliation(s)
- Rui Tao
- Department of Ophthalmology, Huashan Hospital, Fudan University, Shanghai, China
| | - Zhaozeng Lu
- Department of Ophthalmology, Huashan Hospital, Fudan University, Shanghai, China
| | - Ding Ding
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Shuhao Fu
- Department of Ophthalmology, Huashan Hospital, Fudan University, Shanghai, China
| | - Zhen Hong
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Xiaoniu Liang
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Li Zheng
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Yiqin Xiao
- Department of Ophthalmology, Huashan Hospital, Fudan University, Shanghai, China
| | - Qianhua Zhao
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
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37
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Yoon SP, Grewal DS, Thompson AC, Polascik BW, Dunn C, Burke JR, Fekrat S. Retinal Microvascular and Neurodegenerative Changes in Alzheimer's Disease and Mild Cognitive Impairment Compared with Control Participants. Ophthalmol Retina 2019; 3:489-499. [PMID: 31174670 PMCID: PMC6586560 DOI: 10.1016/j.oret.2019.02.002] [Citation(s) in RCA: 135] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2018] [Revised: 12/30/2018] [Accepted: 02/11/2019] [Indexed: 10/27/2022]
Abstract
PURPOSE Evaluate and compare the retinal microvasculature in the superficial capillary plexus (SCP) in Alzheimer's disease (AD), mild cognitive impairment (MCI), and cognitively intact controls using OCT angiography. OCT parameters were also compared. DESIGN Cross-sectional study. PARTICIPANTS Seventy eyes from 39 AD participants, 72 eyes from 37 MCI participants, and 254 eyes from 133 control participants were enrolled. METHODS Participants were imaged using Zeiss Cirrus HD-5000 with AngioPlex (Carl Zeiss Meditec, Dublin, CA) and underwent cognitive evaluation with Mini-Mental State Examination. MAIN OUTCOME MEASURES Vessel density (VD) and perfusion density (PD) in the SCP within the Early Treatment Diabetic Retinopathy Study 6-mm circle, 3-mm circle, and 3-mm ring were compared between groups. Foveal avascular zone (FAZ) area, central subfield thickness (CST), macular ganglion cell-inner plexiform layer (GC-IPL) thickness, and peripapillary retinal nerve fiber layer (RNFL) thickness were also compared. RESULTS Alzheimer's participants showed significantly decreased SCP VD and PD in the 3-mm ring (P = 0.001 and P = 0.002, respectively) and 3-mm circle (P = 0.003 and P = 0.004, respectively) and decreased SCP VD in the 6-mm circle (P = 0.047) compared with MCI and significantly decreased SCP VD and PD in the 3-mm ring (P = 0.008 and P = 0.004, respectively) and 3-mm circle (P = 0.015 and P = 0.009, respectively) and SCP PD in the 6-mm circle (P = 0.033) when compared with cognitively intact controls. There was no difference in SCP VD or PD between MCI and controls (P > 0.05). FAZ area and CST did not differ significantly between groups (P > 0.05). Alzheimer's participants showed significantly decreased GC-IPL thickness over the inferior (P = 0.032) and inferonasal (P = 0.025) sectors compared with MCI and significantly decreased GC-IPL thickness over the entire (P = 0.012), superonasal (P = 0.041), inferior (P = 0.004), and inferonasal (P = 0.006) sectors compared to controls. MCI participants showed significantly decreased temporal RNFL thickness (P = 0.04) compared with controls. CONCLUSIONS Alzheimer's participants showed significantly reduced macular VD, PD, and GC-IPL thickness compared with MCI and controls. Changes in the retinal microvasculature may mirror small vessel cerebrovascular changes in AD.
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Affiliation(s)
- Stephen P Yoon
- Department of Ophthalmology, Duke University, Durham, North Carolina
| | - Dilraj S Grewal
- Department of Ophthalmology, Duke University, Durham, North Carolina
| | - Atalie C Thompson
- Department of Ophthalmology, Duke University, Durham, North Carolina
| | - Bryce W Polascik
- Department of Ophthalmology, Duke University, Durham, North Carolina
| | - Cynthia Dunn
- Department of Neurology, Duke University, Durham, North Carolina
| | - James R Burke
- Department of Neurology, Duke University, Durham, North Carolina
| | - Sharon Fekrat
- Department of Ophthalmology, Duke University, Durham, North Carolina.
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38
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Chan VTT, Sun Z, Tang S, Chen LJ, Wong A, Tham CC, Wong TY, Chen C, Ikram MK, Whitson HE, Lad EM, Mok VCT, Cheung CY. Spectral-Domain OCT Measurements in Alzheimer's Disease: A Systematic Review and Meta-analysis. Ophthalmology 2019; 126:497-510. [PMID: 30114417 PMCID: PMC6424641 DOI: 10.1016/j.ophtha.2018.08.009] [Citation(s) in RCA: 216] [Impact Index Per Article: 43.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2018] [Revised: 08/02/2018] [Accepted: 08/06/2018] [Indexed: 02/07/2023] Open
Abstract
TOPIC OCT is a noninvasive tool to measure specific retinal layers in the eye. The relationship of retinal spectral-domain (SD) OCT measurements with Alzheimer's disease (AD) and mild cognitive impairment (MCI) remains unclear. Hence, we conducted a systematic review and meta-analysis to examine the SD OCT measurements in AD and MCI. CLINICAL RELEVANCE Current methods of diagnosing early AD are expensive and invasive. Retinal measurements of SD OCT, which are noninvasive, technically simple, and inexpensive, are potential biomarkers of AD. METHODS We conducted a literature search in PubMed and Excerpta Medica Database to identify studies published before December 31, 2017, that assessed the associations between AD, MCI, and measurements of SD OCT: ganglion cell-inner plexiform layer (GC-IPL), ganglion cell complex (GCC), macular volume, and choroidal thickness, in addition to retinal nerve fiber layer (RNFL) and macular thickness. We used a random-effects model to examine these relationships. We also conducted meta-regression and assessed heterogeneity, publication bias, and study quality. RESULTS We identified 30 eligible studies, involving 1257 AD patients, 305 MCI patients, and 1460 controls, all of which were cross-sectional studies. In terms of the macular structure, AD patients showed significant differences in GC-IPL thickness (standardized mean difference [SMD], -0.46; 95% confidence interval [CI], -0.80 to -0.11; I2 = 71%), GCC thickness (SMD, -0.84; 95% CI, -1.10 to -0.57; I2 = 0%), macular volume (SMD, -0.58; 95% CI, -1.03 to -0.14; I2 = 80%), and macular thickness of all inner and outer sectors (SMD range, -0.52 to -0.74; all P < 0.001) when compared with controls. Peripapillary RNFL thickness (SMD, -0.67; 95% CI, -0.95 to -0.38; I2 = 89%) and choroidal thickness (SMD range, -0.88 to -1.03; all P < 0.001) also were thinner in AD patients. CONCLUSIONS Our results confirmed the associations between retinal measurements of SD OCT and AD, highlighting the potential usefulness of SD OCT measurements as biomarkers of AD.
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Affiliation(s)
- Victor T T Chan
- Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong, China; Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
| | - Zihan Sun
- Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Shumin Tang
- Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Li Jia Chen
- Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Adrian Wong
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
| | - Clement C Tham
- Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Tien Y Wong
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Republic of Singapore; Duke-NUS Medical School, National University of Singapore, Singapore, Republic of Singapore
| | - Christopher Chen
- Memory Aging and Cognition Centre, National University Health System, Singapore, Republic of Singapore; Department of Pharmacology, National University of Singapore, Singapore, Republic of Singapore
| | - M Kamran Ikram
- Departments of Neurology and Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Heather E Whitson
- Duke University Medical Center, Durham, North Carolina; Geriatrics Research Education and Clinical Center (GRECC), Durham VA Medical Center, Durham, North Carolina
| | | | - Vincent C T Mok
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China; Therese Pei Fong Chow Research Centre for Prevention of Dementia, The Chinese University of Hong Kong, Hong Kong, China
| | - Carol Y Cheung
- Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong, China.
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Mitochondrial pathophysiology beyond the retinal ganglion cell: occipital GABA is decreased in autosomal dominant optic neuropathy. Graefes Arch Clin Exp Ophthalmol 2018; 256:2341-2348. [PMID: 30324419 PMCID: PMC6224020 DOI: 10.1007/s00417-018-4153-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2018] [Revised: 07/05/2018] [Accepted: 09/24/2018] [Indexed: 01/05/2023] Open
Abstract
PURPOSE It has remained a mystery why some genetic mitochondrial disorders affect predominantly specific cell types such as the retinal ganglion cell. This is particularly intriguing concerning retinal and cortical function since they are tightly linked in health and disease. Autosomal dominant optic neuropathy (ADOA) is a mitochondrial disease that affects the ganglion cell. However, it is unknown whether alterations are also present in the visual cortex, namely in excitation/inhibition balance. METHODS In this study, we performed in vivo structural and biochemical proton magnetic resonance imaging in 14 ADOA and 11 age-matched control participants focusing on the visual cortex, with the aim of establishing whether in this genetically determined disease an independent cortical neurochemical phenotype could be established irrespective of a putative structural phenotype. Cortical thickness of anatomically defined visual areas was estimated, and a voxel-based morphometry approach was used to assess occipital volumetric changes in ADOA. Neurochemical measurements were focused on γ-aminobutyric acid (GABA) and glutamate, as indicators of the local excitatory/inhibitory balance. RESULTS We found evidence for reduced visual cortical GABA and preserved glutamate concentrations in the absence of cortical or subcortical atrophy. These changes in GABA levels were explained by neither structural nor functional measures of visual loss, suggesting a developmental origin. CONCLUSIONS These results suggest that mitochondrial disorders that were previously believed to only affect retinal function may also affect cortical physiology, especially the GABAergic system, suggesting reduced brain inhibition vs. excitation. This GABA phenotype, independent of sensory loss or cortical atrophy and in the presence of preserved glutamate levels, suggests a neurochemical developmental change at the cortical level, leading to a pathophysiological excitation/inhibition imbalance.
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Santos CY, Johnson LN, Sinoff SE, Festa EK, Heindel WC, Snyder PJ. Change in retinal structural anatomy during the preclinical stage of Alzheimer's disease. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2018; 10:196-209. [PMID: 29780864 PMCID: PMC5956814 DOI: 10.1016/j.dadm.2018.01.003] [Citation(s) in RCA: 52] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
INTRODUCTION We conducted a 27-month longitudinal study of mid-life adults with preclinical Alzheimer's disease (AD), using spectral domain optical coherence tomography to compare changes in volume and thickness in all retinal neuronal layers to those of age-matched healthy control subjects. METHODS Fifty-six older adults (mean age = 65.36 years) with multiple risk factors for AD completed spectral domain optical coherence tomography retinal imaging and cognitive testing at baseline. Twenty-seven months later, they completed the same examinations and an 18F-florbetapir positron emission tomography imaging study. RESULTS Compared to healthy control subjects, those in the preclinical stage of AD showed a significant decrease in macular retinal nerve fiber layer (mRNFL) volume, over a 27-month follow-up interval period, as well as a decrease in outer nuclear layer and inner plexiform layer volumes and thickness in the inferior quadrant. However, only the mRNFL volume was linearly related to neocortical positron emission tomography amyloid standardized uptake value ratio after controlling for any main effects of age (R2 = 0.103; ρ = 0.017). Furthermore, the magnitude of mRNFL volume reduction was significantly correlated with performance on a task of participants' abilities to efficiently integrate visual and auditory speech information (McGurk effect). DISCUSSION We observed a decrease in mRNFL, outer nuclear layer, and inner plexiform layer volumes, in preclinical AD relative to controls. Moreover, the largely myelinated axonal loss in the RNFL is related to increased neocortical amyloid-β accumulation after controlling for age. Volume loss in the RNFL, during the preclinical stage, is not related to performance on measures of episodic memory or problem solving. However, this retinal change does appear to be modestly related to relative decrements in performance on a measure of audiovisual integration efficiency that has been recently advanced as a possible early cognitive marker of mild cognitive impairment.
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Affiliation(s)
- Cláudia Y. Santos
- Interdisciplinary Neuroscience Program, University of Rhode Island, Kingston, RI, USA
- Lifespan Clinical Research Center, Rhode Island Hospital, Providence, RI, USA
| | - Lenworth N. Johnson
- Lifespan Clinical Research Center, Rhode Island Hospital, Providence, RI, USA
- Department of Ophthalmology, Rhode Island Hospital & Alpert Medical School of Brown University, Providence, RI, USA
| | - Stuart E. Sinoff
- Department of Ophthalmology, BayCare Medical Group, Clearwater, FL, USA
| | - Elena K. Festa
- Department of Cognitive, Linguistic, and Psychological Sciences, Brown University, Providence, RI, USA
| | - William C. Heindel
- Department of Cognitive, Linguistic, and Psychological Sciences, Brown University, Providence, RI, USA
| | - Peter J. Snyder
- Interdisciplinary Neuroscience Program, University of Rhode Island, Kingston, RI, USA
- Lifespan Clinical Research Center, Rhode Island Hospital, Providence, RI, USA
- Ryan Institute for Neuroscience, University of Rhode Island, Kingston, RI, USA
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Retinal thickness correlates with parietal cortical atrophy in early-onset Alzheimer's disease and controls. ALZHEIMER'S & DEMENTIA: DIAGNOSIS, ASSESSMENT & DISEASE MONITORING 2017; 10:49-55. [PMID: 29201990 PMCID: PMC5699891 DOI: 10.1016/j.dadm.2017.10.005] [Citation(s) in RCA: 71] [Impact Index Per Article: 10.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Introduction The retina may reflect Alzheimer's disease (AD) neuropathological changes and is easily visualized with optical coherence tomography (OCT). Retinal thickness decrease has been correlated to AD, however, without information on amyloid status. We correlated retinal (layer) thickness to AD biomarkers in amyloid-positive early-onset AD (EOAD) patients and amyloid-negative controls. Methods We measured macular thickness and peripapillary retinal nerve fiber layer thickness with OCT in 15 EOAD patients and 15 controls and correlated retinal thickness to visual rating scores for atrophy on magnetic resonance imaging. Results Total macular thickness correlated to parietal cortical atrophy in both groups (Spearman ρ -0.603, P = .001). Macular and peripapillary retinal nerve fiber layer thicknesses were not significantly decreased in EOAD compared to controls. Discussion Retinal thickness does not discriminate EOAD from controls but is correlated to parietal cortical atrophy in both groups. These findings may suggest reflection of cerebral cortical changes in the retina, independent of amyloid.
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Zhou J, Liu S, Ng KK, Wang J. Applications of Resting-State Functional Connectivity to Neurodegenerative Disease. Neuroimaging Clin N Am 2017; 27:663-683. [DOI: 10.1016/j.nic.2017.06.007] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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Ji F, Pasternak O, Liu S, Loke YM, Choo BL, Hilal S, Xu X, Ikram MK, Venketasubramanian N, Chen CLH, Zhou J. Distinct white matter microstructural abnormalities and extracellular water increases relate to cognitive impairment in Alzheimer's disease with and without cerebrovascular disease. ALZHEIMERS RESEARCH & THERAPY 2017; 9:63. [PMID: 28818116 PMCID: PMC5561637 DOI: 10.1186/s13195-017-0292-4] [Citation(s) in RCA: 61] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/24/2017] [Accepted: 07/24/2017] [Indexed: 12/20/2022]
Abstract
BACKGROUND Mixed vascular and neurodegenerative dementia, such as Alzheimer's disease (AD) with concomitant cerebrovascular disease, has emerged as the leading cause of age-related cognitive impairment. The brain white matter (WM) microstructural changes in neurodegeneration well-documented by diffusion tensor imaging (DTI) can originate from brain tissue or extracellular free water changes. The differential microstructural and free water changes in AD with and without cerebrovascular disease, especially in normal-appearing WM, remain largely unknown. To cover these gaps, we aimed to characterize the WM free water and tissue microstructural changes in AD and mixed dementia as well as their associations with cognition using a novel free water imaging method. METHODS We compared WM free water and free water-corrected DTI measures as well as white matter hyperintensity (WMH) in patients with AD with and without cerebrovascular disease, patients with vascular dementia, and age-matched healthy control subjects. RESULTS The cerebrovascular disease groups had higher free water than the non-cerebrovascular disease groups. Importantly, besides the cerebrovascular disease groups, patients with AD without cerebrovascular disease also had increased free water in normal-appearing WM compared with healthy control subjects, reflecting mild vascular damage. Such free water increases in WM or normal-appearing WM (but not WMH) contributed to dementia severity. Whole-brain voxel-wise analysis revealed a close association between widespread free water increases and poorer attention, executive functioning, visual construction, and motor performance, whereas only left hemispheric free water increases were related to language deficits. Moreover, compared with the original DTI metrics, the free water-corrected DTI metric revealed tissue damage-specific (frontal and occipital) microstructural differences between the cerebrovascular disease and non-cerebrovascular disease groups. In contrast to both lobar and subcortical/brainstem free water increases, only focal lobar microstructural damage was associated with poorer cognitive performance. CONCLUSIONS Our findings suggest that free water analysis isolates probable mild vascular damage from WM microstructural alterations and underscore the importance of normal-appearing WM changes underlying cognitive and functional impairment in AD with and without cerebrovascular disease. Further developed, the combined free water and tissue neuroimaging assays could help in differential diagnosis, treatment planning, and disease monitoring of patients with mixed dementia.
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Affiliation(s)
- Fang Ji
- Center for Cognitive Neuroscience, Neuroscience and Behavioral Disorders Program, Duke-NUS Medical School, 8 College Road, 06-15, Singapore, 169857, Singapore
| | - Ofer Pasternak
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.,Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Siwei Liu
- Center for Cognitive Neuroscience, Neuroscience and Behavioral Disorders Program, Duke-NUS Medical School, 8 College Road, 06-15, Singapore, 169857, Singapore
| | - Yng Miin Loke
- Center for Cognitive Neuroscience, Neuroscience and Behavioral Disorders Program, Duke-NUS Medical School, 8 College Road, 06-15, Singapore, 169857, Singapore
| | - Boon Linn Choo
- Center for Cognitive Neuroscience, Neuroscience and Behavioral Disorders Program, Duke-NUS Medical School, 8 College Road, 06-15, Singapore, 169857, Singapore
| | - Saima Hilal
- Department of Pharmacology, Clinical Research Centre, National University Health System, National University of Singapore, Singapore, 117600, Singapore.,Memory Aging & Cognition Centre, National University Health System, National University of Singapore, Singapore, Singapore
| | - Xin Xu
- Department of Pharmacology, Clinical Research Centre, National University Health System, National University of Singapore, Singapore, 117600, Singapore.,Memory Aging & Cognition Centre, National University Health System, National University of Singapore, Singapore, Singapore
| | - Mohammad Kamran Ikram
- Department of Pharmacology, Clinical Research Centre, National University Health System, National University of Singapore, Singapore, 117600, Singapore.,Memory Aging & Cognition Centre, National University Health System, National University of Singapore, Singapore, Singapore
| | | | - Christopher Li-Hsian Chen
- Department of Pharmacology, Clinical Research Centre, National University Health System, National University of Singapore, Singapore, 117600, Singapore.,Memory Aging & Cognition Centre, National University Health System, National University of Singapore, Singapore, Singapore
| | - Juan Zhou
- Center for Cognitive Neuroscience, Neuroscience and Behavioral Disorders Program, Duke-NUS Medical School, 8 College Road, 06-15, Singapore, 169857, Singapore. .,Clinical Imaging Research Centre, Agency for Science, Technology and Research, Singapore, Singapore.
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