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Huang Y, Chen C, Chang C, Cheng Z, Liu Y, Wang X, Chen C, Lv X. SLE diagnosis research based on SERS combined with a multi-modal fusion method. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2024; 315:124296. [PMID: 38640628 DOI: 10.1016/j.saa.2024.124296] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/09/2023] [Revised: 03/15/2024] [Accepted: 04/14/2024] [Indexed: 04/21/2024]
Abstract
As artificial intelligence technology gains widespread adoption in biomedicine, the exploration of integrating biofluidic Raman spectroscopy for enhanced disease diagnosis opens up new prospects for the practical application of Raman spectroscopy in clinical settings. However, for systemic lupus erythematosus (SLE), origin Raman spectral data (ORS) have relatively weak signals, making it challenging to obtain ideal classification results. Although the surface enhancement technique can enhance the scattering signal of Raman spectroscopic data, the sensitivity of the SERS substrate to airborne impurities and the inhomogeneous distribution of hotspots degrade part of the signal. To fully utilize both kinds of data, this paper proposes a two-branch residual-attention network (DBRAN) fusion technique, which allows the ORS to complement the degraded portion and thus improve the model's classification accuracy. The features are extracted using the residual module, which retains the original features while extracting the deep features. At the same time, the study incorporates the attention module in both the upper and lower branches to handle the weight allocation of the two modal features more efficiently. The experimental results demonstrate that both the low-level fusion method and the intermediate-level fusion method can significantly improve the diagnostic accuracy of SLE disease classification compared with a single modality, in which the intermediate-level fusion of DBRAN achieves 100% classification accuracy, sensitivity, and specificity. The accuracy is improved by 10% and 7% compared with the ORS unimodal and the SERS unimodal modalities, respectively. The experiment, by fusing the multimodal spectral, realized rapid diagnosis of SLE disease by fusing multimodal spectral data, which provides a reference idea in the field of Raman spectroscopy and can be further promoted to clinical practical applications in the future.
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Affiliation(s)
- Yuhao Huang
- College of Software, Xinjiang University, Urumqi 830046, Xinjiang, China
| | - Chen Chen
- College of Information Science and Engineering, Xinjiang University, Urumqi 830046, China; Key Laboratory of Signal Detection and Processing, Xinjiang University, Urumqi 830046, China; Xinjiang Cloud Computing Application Laboratory, Xinjiang Cloud Computing Engineering Technology Research Center, Karamay 834000, China
| | - Chenjie Chang
- College of Information Science and Engineering, Xinjiang University, Urumqi 830046, China
| | - Zhiyuan Cheng
- College of Information Science and Engineering, Xinjiang University, Urumqi 830046, China
| | - Yang Liu
- College of Software, Xinjiang University, Urumqi 830046, Xinjiang, China
| | - Xuehua Wang
- College of Physical Science and Technology, Xinjiang University, Urumqi 830046, China
| | - Cheng Chen
- College of Software, Xinjiang University, Urumqi 830046, Xinjiang, China; Key Laboratory of Signal Detection and Processing, Xinjiang University, Urumqi 830046, China; Xinjiang Cloud Computing Application Laboratory, Xinjiang Cloud Computing Engineering Technology Research Center, Karamay 834000, China.
| | - Xiaoyi Lv
- College of Software, Xinjiang University, Urumqi 830046, Xinjiang, China; Xinjiang Cloud Computing Application Laboratory, Xinjiang Cloud Computing Engineering Technology Research Center, Karamay 834000, China.
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Gopinath A, Ramirez-Zamora A, Franks S, Riaz T, Smith A, Dizon G, Hornstein L, Follett J, Swartz C, Bravo J, Kugelmann EL, Farrer M, Okun MS, Khoshbouei H. Immunophenotyping Tracks Motor Progression in Parkinson's Disease Associated with a TH Mutation. JOURNAL OF PARKINSON'S DISEASE 2024:JPD240030. [PMID: 38788089 DOI: 10.3233/jpd-240030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/26/2024]
Abstract
Background Parkinson's disease (PD) is the second most common neurodegenerative disorder, with genetic factors accounting for about 15% of cases. There is a significant challenge in tracking disease progression and treatment response, crucial for developing new therapies. Traditional methods like imaging, clinical monitoring, and biomarker analysis have not conclusively tracked disease progression or treatment response in PD. Our previous research indicated that PD patients with increased dopamine transporter (DAT) and tyrosine hydroxylase (TH) in peripheral blood mononuclear cells (PBMCs) might show disease progression and respond to levodopa treatment. Objective This study evaluates whether DAT- and TH-expressing PBMCs can monitor motor progression in a PD patient with a heterozygous TH mutation. Methods We conducted a longitudinal follow-up of a 46-year-old female PD patient with a TH mutation, assessing her clinical features over 18 months through DaT scans and PBMC immunophenotyping. This was compared with idiopathic PD patients (130 subjects) and healthy controls (80 age/sex-matched individuals). Results We found an increase in DAT+ immune cells concurrent with worsening motor scores (UPDRS-III). Following levodopa therapy, unlike idiopathic PD patients, TH+ immune cell levels in this patient remained high even as her motor scores improved. Conclusions Longitudinal immunophenotyping in this PD patient suggests DAT+ and TH+ PBMCs as potential biomarkers for tracking PD progression and treatment efficacy, supporting further exploration of this approach in PD research.
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Affiliation(s)
- Adithya Gopinath
- Department of Neuroscience, University of Florida, Gainesville, FL, USA
- Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, USA
- McKnight Brain Institute, University of Florida, Gainesville, FL, USA
| | - Adolfo Ramirez-Zamora
- Department of Neurology, University of Florida, Gainesville, FL, USA
- Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, USA
| | - Stephen Franks
- Department of Neuroscience, University of Florida, Gainesville, FL, USA
| | - Tabish Riaz
- Department of Neuroscience, University of Florida, Gainesville, FL, USA
| | - Aidan Smith
- Department of Neuroscience, University of Florida, Gainesville, FL, USA
| | - Glen Dizon
- Department of Neuroscience, University of Florida, Gainesville, FL, USA
| | - Lauryn Hornstein
- Department of Neuroscience, University of Florida, Gainesville, FL, USA
| | - Jordan Follett
- Department of Neurology, University of Florida, Gainesville, FL, USA
| | - Camille Swartz
- Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, USA
| | - Jonathan Bravo
- Department of Neurology, University of Florida, Gainesville, FL, USA
| | - E Lee Kugelmann
- Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, USA
| | - Matthew Farrer
- Department of Neurology, University of Florida, Gainesville, FL, USA
- Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, USA
- McKnight Brain Institute, University of Florida, Gainesville, FL, USA
| | - Michael S Okun
- Department of Neurology, University of Florida, Gainesville, FL, USA
- Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, USA
- McKnight Brain Institute, University of Florida, Gainesville, FL, USA
| | - Habibeh Khoshbouei
- Department of Neuroscience, University of Florida, Gainesville, FL, USA
- Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, USA
- McKnight Brain Institute, University of Florida, Gainesville, FL, USA
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ElMorsy SM, Gutierrez DA, Valdez S, Kumar J, Aguilera RJ, Noufal M, Sarma H, Chinnam S, Narayan M. Graphene acid quantum dots: A highly active multifunctional carbon nano material that intervene in the trajectory towards neurodegeneration. J Colloid Interface Sci 2024; 670:357-363. [PMID: 38763031 DOI: 10.1016/j.jcis.2024.05.072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Revised: 04/20/2024] [Accepted: 05/10/2024] [Indexed: 05/21/2024]
Abstract
Carbon dots (CDs) are carbon nano materials (CNMs) that find use across several biological applications because of their water solubility, biocompatible nature, eco-friendliness, and ease of synthesis. Additionally, their physiochemical properties can be chemically tuned for further optimization towards specific applications. Here, we investigate the efficacy of C70-derived Graphene Acid Quantum Dots (GAQDs) in mitigating the transformation of soluble, monomeric Hen Egg-White Lysozyme (HEWL) to mature fibrils during its amyloidogenic trajectory. Our findings reveal that GAQDs exhibit dose-dependent inhibition of HEWL fibril formation (up to 70 % at 5 mg/mL) without affecting mitochondrial membrane potential or inducing apoptosis at the same density. Furthermore, GAQDs scavenged reactive oxygen species (ROS); achieving a 50 % reduction in ROS levels at a mere 100 µg/mL when exposed to a standard free radical generator. GAQDs were not only found to be biocompatible with a human neuroblastoma-derived SHSY-5Y cell line but also rescued the cells from rotenone-induced apoptosis. The GAQD-tolerance of SHSY-5Y cells coupled with their ability to restitute cells from rotenone-dependent apoptosis, when taken in conjunction with the biocompatibility data, indicate that GAQDs possess neuroprotective potential. The data position this class of CNMs as promising candidates for resolving aberrant cellular outputs that associate with the advent and progress of multifactorial neurodegenerative disorders including Parkinson's (PD) and Alzheimer's diseases (AD) wherein environmental causes are implicated (95 % etiology). The data suggest that GAQDs are a multifunctional carbon-based sustainable nano-platform at the intersection of nanotechnology and neuroprotection for advancing green chemistry-derived, sustainable healthcare solutions.
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Affiliation(s)
- Sherin M ElMorsy
- The Environmental Science & Engineering Program, The University of Texas at El Paso, El Paso, TX 79968, United States
| | - Denisse A Gutierrez
- Cellular Characterization and Biorepository Core Facility, Border Biomedical Research Center, Department of Biological Sciences, College of Science, The University of Texas at El Paso, 500 West University Avenue, El Paso, TX 79968-0519, United States
| | - Salvador Valdez
- Department of Chemistry and Biochemistry, The University of Texas at El Paso, 500 West University Avenue, El Paso, TX 79968, United States
| | - Jyotish Kumar
- Department of Chemistry and Biochemistry, The University of Texas at El Paso, 500 West University Avenue, El Paso, TX 79968, United States
| | - Renato J Aguilera
- Cellular Characterization and Biorepository Core Facility, Border Biomedical Research Center, Department of Biological Sciences, College of Science, The University of Texas at El Paso, 500 West University Avenue, El Paso, TX 79968-0519, United States
| | - Mohamed Noufal
- Department of Chemical Engineering, Hampton University, Hampton, VA 23668, United States
| | - Hemen Sarma
- Bioremediation Technology Research Group, Department of Botany, Bodoland University, Rangalikhata, Deborgaon, 783370 Kokrajhar (BTR), Assam, India
| | - Sampath Chinnam
- Department of Chemistry, M.S. Ramaiah Institute of Technology MSR Nagar, Bengaluru, Karnataka 560054, India
| | - Mahesh Narayan
- The Environmental Science & Engineering Program, The University of Texas at El Paso, El Paso, TX 79968, United States.
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Yu Y, Wang J, Si L, Sun H, Liu X, Li X, Yan W. Smooth Pursuit and Reflexive Saccade in Discriminating Multiple-System Atrophy With Predominant Parkinsonism From Parkinson's Disease. J Clin Neurol 2024; 20:194-200. [PMID: 38171500 PMCID: PMC10921038 DOI: 10.3988/jcn.2022.0413] [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: 10/24/2022] [Revised: 05/17/2023] [Accepted: 06/23/2023] [Indexed: 01/05/2024] Open
Abstract
BACKGROUND AND PURPOSE Performing the differential diagnosis of Parkinson's disease (PD) and multiple-system atrophy of parkinsonian type (MSA-P) is challenging. The oculomotor performances of patients with PD and MSA-P were investigated to explore their potential role as a biomarker for this differentiation. METHODS Reflexive saccades and smooth pursuit were examined in 56 patients with PD and 34 with MSA-P in the off-medication state. RESULTS Patients with PD and MSA-P had similar oculomotor abnormalities of prolonged and hypometric reflexive saccades. The incidence rates of decreased reflexive saccadic velocity and saccadic smooth pursuit were significantly higher in MSA-P than in PD (p<0.05 for both). Multiple logistic regression analysis indicated that slowed reflexive saccades (odds ratio [OR]=8.14, 95% confidence interval [CI]=1.45-45.5) and saccadic smooth pursuit (OR=5.27, 95% CI=1.24-22.43) were significantly related to MSA-P. CONCLUSIONS The distinctive oculomotor abnormalities of saccadic smooth pursuit and slowed reflexive saccades in MSA-P may serve as useful biomarkers for discriminating MSA-P from PD.
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Affiliation(s)
- Yaqin Yu
- Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan, China
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jinyu Wang
- Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan, China
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lihong Si
- Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan, China
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Huanxin Sun
- Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan, China
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaolei Liu
- Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan, China
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xinyi Li
- Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan, China
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
| | - Weihong Yan
- Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan, China
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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Poveda S, Arellano X, Bernal-Pacheco O, Valencia López A. Structural changes in the retina as a potential biomarker in Parkinson's disease: an approach from optical coherence tomography. FRONTIERS IN NEUROIMAGING 2024; 3:1340754. [PMID: 38496013 PMCID: PMC10940411 DOI: 10.3389/fnimg.2024.1340754] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/18/2023] [Accepted: 02/09/2024] [Indexed: 03/19/2024]
Abstract
Introduction Parkinson's disease (PD) presents challenges in early diagnosis and follow-up due to the lack of characteristic findings. Recent studies suggest retinal changes in PD are possibly indicative of neurodegeneration. We explored these changes using optical coherence tomography (OCT) to assess retinal nerve fiber layer (RNFL) and ganglion cell complex (GCC) thickness. Methods Thirty PD and non-PD patients were matched according to demographic characteristics and OCT and clinical evaluations to rule out other neurodegenerative and visual diseases. Results We observed a significant thinning of the RNFL in patients diagnosed with PD compared to non-PD patients (p = 0.015). Additionally, this reduction in RNFL thickness was found to correlate with the severity of the disease (p = 0.04). Conclusion The OCT serves as a tool for quantifying neurodegeneration in PD, showing a significant correlation with disease severity. These findings suggest that OCT could play a crucial role as a potential biomarker in the diagnosis and monitoring of PD.
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Affiliation(s)
- Santiago Poveda
- Department of Neurology, Central Military Hospital, Bogotá, Colombia
| | - Ximena Arellano
- Department of Ophthalmology, Central Military Hospital, Bogotá, Colombia
| | - Oscar Bernal-Pacheco
- Department of Neurology, Central Military Hospital, Bogotá, Colombia
- Roosevelt Orthopedic Institute, Bogotá, Colombia
- Fundación Santa Fe de Bogotá University Hospital, Bogotá, Colombia
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Steiner OL, de Zeeuw J. Melanopsin retinal ganglion cell function in Alzheimer's vs. Parkinson's disease an exploratory meta-analysis and review of pupillometry protocols. Parkinsonism Relat Disord 2024:106063. [PMID: 38443213 DOI: 10.1016/j.parkreldis.2024.106063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Revised: 02/07/2024] [Accepted: 02/21/2024] [Indexed: 03/07/2024]
Abstract
BACKGROUND Neurodegenerative diseases share retinal abnormalities. Chromatic pupillometry allows in vivo assessment of photoreceptor functional integrity, including melanopsin-expressing retinal ganglion cells. This exploratory meta-analysis assesses retinal photoreceptor functionality in Alzheimer's vs. Parkinson's disease and conducts an in-depth review of applied pupillometric protocols. METHODS Literature reviews on PubMed and Scopus from 1991 to August 2023 identified chromatic pupillometry studies on Alzheimer's disease (AD; n = 42 patients from 2 studies) and Parkinson's disease (PD; n = 66 from 3 studies). Additionally, a pre-AD study (n = 10) and an isolated REM Sleep Behavior Disorder study (iRBD; n = 10) were found, but their results were not included in the meta-analysis statistics. RESULTS Melanopsin-mediated post-illumination pupil response to blue light was not significantly impaired in Alzheimer's (weighted mean difference = -1.54, 95% CI: 4.57 to 1.49, z = -1.00, p = 0.319) but was in Parkinson's (weighted mean difference = -9.14, 95% CI: 14.19 to -4.08, z = -3.54, p < 0.001). Other pupil light reflex metrics showed no significant differences compared to controls. Studies adhered to international standards of pupillometry with moderate to low bias. All studies used full-field stimulation. Alzheimer's studies used direct while Parkinson's studies used consensual measurement. Notably, studies did not control for circadian timing and Parkinson's patients were on dopaminergic treatment. CONCLUSION AND RELEVANCE Results affirm chromatic pupillometry as a useful method to assess melanopsin-related retinal cell dysfunction in Parkinson's but not in Alzheimer's disease. While adhering to international standards, future studies may analyze the effects of local field stimulation, dopaminergic treatment, and longitudinal design to elucidate melanopsin dysfunction in Parkinson's disease.
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Affiliation(s)
- Oliver Leopold Steiner
- Department of Neurology, Motor and Cognition Group, Charité - Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, Germany; Institute of Psychology, Humboldt-Universität zu Berlin, Germany; Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Germany.
| | - Jan de Zeeuw
- Sleep Research & Clinical Chronobiology, Institute of Physiology, Charité-Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Germany; Clinic for Sleep & Chronomedicine, St. Hedwig-Hospital, Berlin, Germany
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Ahn JH, Kang MC, Youn J, Park KA, Han KD, Jung JH. Nonarteritic anterior ischemic optic neuropathy and incidence of Parkinson's disease based on a nationwide population based study. Sci Rep 2024; 14:2930. [PMID: 38316950 PMCID: PMC10844599 DOI: 10.1038/s41598-024-53196-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 01/29/2024] [Indexed: 02/07/2024] Open
Abstract
This study aimed to investigate the association between nonarteritic anterior ischemic optic neuropathy (NAION) and Parkinson's disease (PD) using a retrospective, nationwide, population-based cohort in South Korea. This study utilized data from the Korean National Health Insurance database, including 43,960 NAION patients and 219,800 age- and sex-matched controls. Cox proportional hazards regression models were used to assess the risk of developing PD in the NAION group compared to the control group after adjusting for various confounding factors. Subgroup analyses were conducted based on sex, age, and comorbidities. The incidence rate of PD was higher in the NAION group (1.326 per 1000 person-years) than in the control group (0.859 per 1000 person-years). After adjusting for confounding factors, the risk of developing PD was significantly higher in the NAION group (adjusted hazard ratio [aHR] 1.516, 95% confidence interval [CI] 1.300-1.769). Subgroup analyses did not reveal a significant difference in the risk of PD development based on sex, age, or comorbidities. This retrospective, nationwide, population-based cohort study revealed a significant association between NAION and an increased risk of developing PD in a South Korean population. The incidence rate of PD was observed to be higher in individuals diagnosed with NAION than in age- and sex-matched controls even after adjusting for potential confounding variables, with the risk being approximately 51.6% higher in the NAION group. Further research is necessary to elucidate the underlying pathophysiological mechanisms linking NAION to PD and to determine whether similar associations exist in other ethnic and geographical populations.
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Affiliation(s)
- Jong Hyeon Ahn
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea
- Neuroscience Center, Samsung Medical Center, Seoul, Republic of Korea
| | - Min Chae Kang
- Department of Ophthalmology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea
| | - Jinyoung Youn
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea.
- Neuroscience Center, Samsung Medical Center, Seoul, Republic of Korea.
| | - Kyung-Ah Park
- Department of Ophthalmology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea.
| | - Kyung-Do Han
- Department of Statistics and Actuarial Science, Soongsil University, Seoul, Republic of Korea
| | - Jin-Hyung Jung
- Samsung Biomedical Research Institute, Sungkyunkwan University School of Medicine, Suwon, Republic of Korea
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Kim S, Choi JH, Woo KA, Joo JY, Jeon B, Lee JY. Clinical correlates of pareidolias and color discrimination deficits in idiopathic REM sleep behavior disorder and Parkinson's disease. J Neural Transm (Vienna) 2024; 131:141-148. [PMID: 38110521 DOI: 10.1007/s00702-023-02724-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 11/26/2023] [Indexed: 12/20/2023]
Abstract
Visuoperceptual dysfunction is common in Parkinson's disease (PD) and is also reported in its prodromal phase, isolated REM sleep behavior disorder (iRBD). We aimed to investigate color discrimination ability and complex visual illusions known as pareidolias in patients with iRBD and PD compared to healthy controls, and their associating clinical factors. 46 iRBD, 43 PD, and 64 healthy controls performed the Farnsworth-Munsell 100 hue test and noise pareidolia tests. Any relationship between those two visual functions and associations with prodromal motor and non-motor manifestations were evaluated, including MDS-UPDRS part I to III, Cross-Cultural Smell Identification Test, sleep questionnaires, and comprehensive neuropsychological assessment. iRBD and PD patients both performed worse on the Farnsworth-Munsell 100 hue test and had greater number of pareidolias compared to healthy controls. No correlations were found between the extent of impaired color discrimination and pareidolia scores in either group. In iRBD patients, pareidolias were associated with frontal executive dysfunction, while impaired color discrimination was associated with visuospatial dysfunction, hyposmia, and higher MDS-UPDRS-III scores. Pareidolias in PD patients correlated with worse global cognition, whereas color discrimination deficits were associated with frontal executive dysfunction. Color discrimination deficits and pareidolias are frequent but does not correlate with each other from prodromal to clinically established stage of PD. The different pattern of clinical associates with the two visual symptoms suggests that evaluation of both color and pareidolias may aid in revealing the course of neurodegeneration in iRBD and PD patients.
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Affiliation(s)
- Seoyeon Kim
- Department of Neurology, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Ji-Hyun Choi
- Department of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea
| | - Kyung Ah Woo
- Department of Neurology, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Jae Young Joo
- Department of Neurology, Uijeongbu Eulji Medical Center, Uijeongbu, Republic of Korea
| | - Beomseok Jeon
- Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Jee-Young Lee
- Department of Neurology, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, Republic of Korea.
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Soni R, Mathur K, Shah J. An update on new-age potential biomarkers for Parkinson's disease. Ageing Res Rev 2024; 94:102208. [PMID: 38296162 DOI: 10.1016/j.arr.2024.102208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Revised: 01/24/2024] [Accepted: 01/24/2024] [Indexed: 02/05/2024]
Abstract
Parkinson's disease (PD) is a progressive neurodegenerative disorder that deals with dopaminergic deficiency in Substantia nigra pars compact (SNpc) region of the brain. Dopaminergic deficiency manifests into motor dysfunction. Alpha-synuclein protein aggregation is the source for inception of the pathology. Motor symptoms include rigidity, akinesia, tremor and gait dysfunction. Pre-motor symptoms are also seen in early stage of the disease; however, they are not distinguishable. Lack of early diagnosis in PD pathology poses a major challenge for development of disease modifying therapeutics. Substantial neuronal loss has already been occurred before the clinical manifestations appear and hence, it becomes impossible to halt the disease progression. Current diagnostics are majorly based on the clinical symptoms and thus fail to detect early progression of the disease. Thus, there is need for early diagnosis of PD, for detection of the disease at its inception. This will facilitate the effective use of therapies that halt the progression and will make remission possible. Many novel biomarkers are being developed that include blood-based biomarker, CSF biomarker. Other than that, there are non-invasive techniques that can detect biomarkers. We aim to discuss potential role of these new age biomarkers and their association with PD pathogenesis in this review.
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Affiliation(s)
- Ritu Soni
- Department of Pharmacology, Institute of Pharmacy, Nirma University, Ahmedabad, Gujarat 382481, India
| | - Kirti Mathur
- Department of Pharmacology, Institute of Pharmacy, Nirma University, Ahmedabad, Gujarat 382481, India
| | - Jigna Shah
- Department of Pharmacology, Institute of Pharmacy, Nirma University, Ahmedabad, Gujarat 382481, India.
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Murueta-Goyena A, Romero-Bascones D, Teijeira-Portas S, Urcola JA, Ruiz-Martínez J, Del Pino R, Acera M, Petzold A, Wagner SK, Keane PA, Ayala U, Barrenechea M, Tijero B, Gómez Esteban JC, Gabilondo I. Association of retinal neurodegeneration with the progression of cognitive decline in Parkinson's disease. NPJ Parkinsons Dis 2024; 10:26. [PMID: 38263165 PMCID: PMC10805713 DOI: 10.1038/s41531-024-00637-x] [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: 09/15/2023] [Accepted: 01/08/2024] [Indexed: 01/25/2024] Open
Abstract
Retinal thickness may serve as a biomarker in Parkinson's disease (PD). In this prospective longitudinal study, we aimed to determine if PD patients present accelerated thinning rate in the parafoveal ganglion cell-inner plexiform layer (pfGCIPL) and peripapillary retinal nerve fiber layer (pRNFL) compared to controls. Additionally, we evaluated the relationship between retinal neurodegeneration and clinical progression in PD. A cohort of 156 PD patients and 72 controls underwent retinal optical coherence tomography, visual, and cognitive assessments between February 2015 and December 2021 in two Spanish tertiary hospitals. The pfGCIPL thinning rate was twice as high in PD (β [SE] = -0.58 [0.06]) than in controls (β [SE] = -0.29 [0.06], p < 0.001). In PD, the progression pattern of pfGCIPL atrophy depended on baseline thickness, with slower thinning rates observed in PD patients with pfGCIPL below 89.8 µm. This result was validated with an external dataset from Moorfields Eye Hospital NHS Foundation Trust (AlzEye study). Slow pfGCIPL progressors, characterized by older at baseline, longer disease duration, and worse cognitive and disease stage scores, showed a threefold increase in the rate of cognitive decline (β [SE] = -0.45 [0.19] points/year, p = 0.021) compared to faster progressors. Furthermore, temporal sector pRNFL thinning was accelerated in PD (βtime x group [SE] = -0.67 [0.26] μm/year, p = 0.009), demonstrating a close association with cognitive score changes (β [SE] = 0.11 [0.05], p = 0.052). This study suggests that a slower pattern of pfGCIPL tissue loss in PD is linked to more rapid cognitive decline, whereas changes in temporal pRNFL could track cognitive deterioration.
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Affiliation(s)
- Ane Murueta-Goyena
- Neurodegenerative Diseases Group, Biobizkaia Health Research Institute, Barakaldo, Spain.
- Department of Neurosciences, Faculty of Medicine and Nursery, University of the Basque Country (UPV/EHU), Leioa, Spain.
| | - David Romero-Bascones
- Biomedical Engineering Department, Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Mondragón, Spain
- NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology, EC1V 2PD, London, UK
| | - Sara Teijeira-Portas
- Neurodegenerative Diseases Group, Biobizkaia Health Research Institute, Barakaldo, Spain
| | - J Aritz Urcola
- Department of Ophthalmology, Araba University Hospital, Vitoria-Gasteiz, Spain
| | - Javier Ruiz-Martínez
- Department of Neurology, Donostia University Hospital, Donostia, Spain
- Biogipuzkoa Health Research Institute, Donostia, Spain
- CIBERNED, Institute of Health Carlos III, Madrid, Spain
| | - Rocío Del Pino
- Neurodegenerative Diseases Group, Biobizkaia Health Research Institute, Barakaldo, Spain
| | - Marian Acera
- Neurodegenerative Diseases Group, Biobizkaia Health Research Institute, Barakaldo, Spain
| | - Axel Petzold
- NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology, EC1V 2PD, London, UK
- Queen Square Institute of Neurology, University College London, London, UK
- The National Hospital for Neurology and Neurosurgery, London, UK
- Departments of Neurology and Ophthalmology, Amsterdam UMC, Amsterdam, Netherlands
| | - Siegfried Karl Wagner
- NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology, EC1V 2PD, London, UK
- Institute of Ophthalmology, University College London, London, UK
| | - Pearse Andrew Keane
- NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology, EC1V 2PD, London, UK
- Institute of Ophthalmology, University College London, London, UK
| | - Unai Ayala
- Biomedical Engineering Department, Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Mondragón, Spain
| | - Maitane Barrenechea
- Biomedical Engineering Department, Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Mondragón, Spain
| | - Beatriz Tijero
- Neurodegenerative Diseases Group, Biobizkaia Health Research Institute, Barakaldo, Spain
- Neurology Department, Cruces University Hospital, Barakaldo, Spain
| | - Juan Carlos Gómez Esteban
- Neurodegenerative Diseases Group, Biobizkaia Health Research Institute, Barakaldo, Spain
- Department of Neurosciences, Faculty of Medicine and Nursery, University of the Basque Country (UPV/EHU), Leioa, Spain
- Neurology Department, Cruces University Hospital, Barakaldo, Spain
| | - Iñigo Gabilondo
- Neurodegenerative Diseases Group, Biobizkaia Health Research Institute, Barakaldo, Spain
- Neurology Department, Cruces University Hospital, Barakaldo, Spain
- IKERBASQUE, The Basque Foundation for Science, Bilbao, Spain
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11
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Fajardo J, Melo LFD. Towards a Modular Pathological Tremor Simulation System Based on the Stewart Platform. SENSORS (BASEL, SWITZERLAND) 2023; 23:9020. [PMID: 38005408 PMCID: PMC10674838 DOI: 10.3390/s23229020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 09/25/2023] [Accepted: 10/25/2023] [Indexed: 11/26/2023]
Abstract
Wearable technologies have aided in reducing pathological tremor symptoms through non-intrusive solutions that aim to identify patterns in involuntary movements and suppress them using actuators positioned at specific joints. However, during the development of these devices, tests were primarily conducted on patients due to the difficulty of faithfully simulating tremors using simulation equipment. Based on studies characterizing tremors in Parkinson's disease, the development of a robotic manipulator based on the Stewart platform was initiated, with the goal of satisfactorily simulating resting tremor movements in the hands. In this work, a simulator was implemented in a computational environment using the multibody dynamics method. The platform structure was designed in a virtual environment using SOLIDWORKS® v2017 software and later exported to Matlab® R17a software using the Simulink environment and Simscape multibody library. The workspace was evaluated, and the Kalman filter was used to merge acceleration and angular velocity data and convert them into data related to the inclination and rotation of real patients' wrists, which were subsequently executed in the simulator. The results show a high correlation and low dispersion between real and simulated signals, demonstrating that the simulated mechanism has the capacity to represent Parkinson's disease resting tremors in all wrist movements. The system could contribute to conducting tremor tests in suppression devices without the need for the presence of the patient and aid in comparing suppression techniques, benefiting the development of new wearable devices.
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Affiliation(s)
- Jair Fajardo
- Federal Institute of Paraná, Assis Chateaubriand Campus, Assis Chateaubriand 85935-000, Brazil
| | - Leonimer Flávio de Melo
- Department of Electrical Engineering, State University of Londrina, Londrina 86057-970, Brazil
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12
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Wolf J, Rasmussen DK, Sun YJ, Vu JT, Wang E, Espinosa C, Bigini F, Chang RT, Montague AA, Tang PH, Mruthyunjaya P, Aghaeepour N, Dufour A, Bassuk AG, Mahajan VB. Liquid-biopsy proteomics combined with AI identifies cellular drivers of eye aging and disease in vivo. Cell 2023; 186:4868-4884.e12. [PMID: 37863056 PMCID: PMC10720485 DOI: 10.1016/j.cell.2023.09.012] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Revised: 07/26/2023] [Accepted: 09/13/2023] [Indexed: 10/22/2023]
Abstract
Single-cell analysis in living humans is essential for understanding disease mechanisms, but it is impractical in non-regenerative organs, such as the eye and brain, because tissue biopsies would cause serious damage. We resolve this problem by integrating proteomics of liquid biopsies with single-cell transcriptomics from all known ocular cell types to trace the cellular origin of 5,953 proteins detected in the aqueous humor. We identified hundreds of cell-specific protein markers, including for individual retinal cell types. Surprisingly, our results reveal that retinal degeneration occurs in Parkinson's disease, and the cells driving diabetic retinopathy switch with disease stage. Finally, we developed artificial intelligence (AI) models to assess individual cellular aging and found that many eye diseases not associated with chronological age undergo accelerated molecular aging of disease-specific cell types. Our approach, which can be applied to other organ systems, has the potential to transform molecular diagnostics and prognostics while uncovering new cellular disease and aging mechanisms.
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Affiliation(s)
- Julian Wolf
- Molecular Surgery Laboratory, Stanford University, Palo Alto, CA 94304, USA; Department of Ophthalmology, Byers Eye Institute, Stanford University, Palo Alto, CA 94304, USA
| | - Ditte K Rasmussen
- Molecular Surgery Laboratory, Stanford University, Palo Alto, CA 94304, USA; Department of Ophthalmology, Byers Eye Institute, Stanford University, Palo Alto, CA 94304, USA; Department of Biomedicine, Aarhus University, 8000 Aarhus C, Denmark
| | - Young Joo Sun
- Molecular Surgery Laboratory, Stanford University, Palo Alto, CA 94304, USA; Department of Ophthalmology, Byers Eye Institute, Stanford University, Palo Alto, CA 94304, USA
| | - Jennifer T Vu
- Molecular Surgery Laboratory, Stanford University, Palo Alto, CA 94304, USA; Department of Ophthalmology, Byers Eye Institute, Stanford University, Palo Alto, CA 94304, USA
| | - Elena Wang
- Molecular Surgery Laboratory, Stanford University, Palo Alto, CA 94304, USA; Department of Ophthalmology, Byers Eye Institute, Stanford University, Palo Alto, CA 94304, USA
| | - Camilo Espinosa
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Fabio Bigini
- Molecular Surgery Laboratory, Stanford University, Palo Alto, CA 94304, USA; Department of Ophthalmology, Byers Eye Institute, Stanford University, Palo Alto, CA 94304, USA
| | - Robert T Chang
- Department of Ophthalmology, Byers Eye Institute, Stanford University, Palo Alto, CA 94304, USA
| | - Artis A Montague
- Department of Ophthalmology, Byers Eye Institute, Stanford University, Palo Alto, CA 94304, USA
| | - Peter H Tang
- Department of Ophthalmology and Visual Neurosciences, University of Minnesota, Minneapolis, MN 55455, USA; Retina Consultants of Minnesota, Edina, MN 55435, USA
| | - Prithvi Mruthyunjaya
- Department of Ophthalmology, Byers Eye Institute, Stanford University, Palo Alto, CA 94304, USA
| | - Nima Aghaeepour
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Antoine Dufour
- Departments of Physiology and Pharmacology & Biochemistry and Molecular Biology, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 4N1, Canada
| | - Alexander G Bassuk
- Departments of Pediatrics and Neurology, The Iowa Neuroscience Institute (INI), University of Iowa, Iowa City, IA 52242, USA
| | - Vinit B Mahajan
- Molecular Surgery Laboratory, Stanford University, Palo Alto, CA 94304, USA; Department of Ophthalmology, Byers Eye Institute, Stanford University, Palo Alto, CA 94304, USA; Veterans Affairs Palo Alto Health Care System, Palo Alto, CA 94304, USA.
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13
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Wagner SK, Romero-Bascones D, Cortina-Borja M, Williamson DJ, Struyven RR, Zhou Y, Patel S, Weil RS, Antoniades CA, Topol EJ, Korot E, Foster PJ, Balaskas K, Ayala U, Barrenechea M, Gabilondo I, Schapira AHV, Khawaja AP, Patel PJ, Rahi JS, Denniston AK, Petzold A, Keane PA. Retinal Optical Coherence Tomography Features Associated With Incident and Prevalent Parkinson Disease. Neurology 2023; 101:e1581-e1593. [PMID: 37604659 PMCID: PMC10585674 DOI: 10.1212/wnl.0000000000207727] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Accepted: 06/14/2023] [Indexed: 08/23/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Cadaveric studies have shown disease-related neurodegeneration and other morphological abnormalities in the retina of individuals with Parkinson disease (PD); however, it remains unclear whether this can be reliably detected with in vivo imaging. We investigated inner retinal anatomy, measured using optical coherence tomography (OCT), in prevalent PD and subsequently assessed the association of these markers with the development of PD using a prospective research cohort. METHODS This cross-sectional analysis used data from 2 studies. For the detection of retinal markers in prevalent PD, we used data from AlzEye, a retrospective cohort of 154,830 patients aged 40 years and older attending secondary care ophthalmic hospitals in London, United Kingdom, between 2008 and 2018. For the evaluation of retinal markers in incident PD, we used data from UK Biobank, a prospective population-based cohort where 67,311 volunteers aged 40-69 years were recruited between 2006 and 2010 and underwent retinal imaging. Macular retinal nerve fiber layer (mRNFL), ganglion cell-inner plexiform layer (GCIPL), and inner nuclear layer (INL) thicknesses were extracted from fovea-centered OCT. Linear mixed-effects models were fitted to examine the association between prevalent PD and retinal thicknesses. Hazard ratios for the association between time to PD diagnosis and retinal thicknesses were estimated using frailty models. RESULTS Within the AlzEye cohort, there were 700 individuals with prevalent PD and 105,770 controls (mean age 65.5 ± 13.5 years, 51.7% female). Individuals with prevalent PD had thinner GCIPL (-2.12 μm, 95% CI -3.17 to -1.07, p = 8.2 × 10-5) and INL (-0.99 μm, 95% CI -1.52 to -0.47, p = 2.1 × 10-4). The UK Biobank included 50,405 participants (mean age 56.1 ± 8.2 years, 54.7% female), of whom 53 developed PD at a mean of 2,653 ± 851 days. Thinner GCIPL (hazard ratio [HR] 0.62 per SD increase, 95% CI 0.46-0.84, p = 0.002) and thinner INL (HR 0.70, 95% CI 0.51-0.96, p = 0.026) were also associated with incident PD. DISCUSSION Individuals with PD have reduced thickness of the INL and GCIPL of the retina. Involvement of these layers several years before clinical presentation highlight a potential role for retinal imaging for at-risk stratification of PD.
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Affiliation(s)
- Siegfried Karl Wagner
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom.
| | - David Romero-Bascones
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom
| | - Mario Cortina-Borja
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom
| | - Dominic J Williamson
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom
| | - Robbert R Struyven
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom
| | - Yukun Zhou
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom
| | - Salil Patel
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom
| | - Rimona S Weil
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom
| | - Chrystalina A Antoniades
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom
| | - Eric J Topol
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom
| | - Edward Korot
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom
| | - Paul J Foster
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom
| | - Konstantinos Balaskas
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom
| | - Unai Ayala
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom
| | - Maitane Barrenechea
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom
| | - Iñigo Gabilondo
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom
| | - Anthony H V Schapira
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom
| | - Anthony P Khawaja
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom
| | - Praveen J Patel
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom
| | - Jugnoo S Rahi
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom
| | - Alastair K Denniston
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom
| | - Axel Petzold
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom
| | - Pearse Andrew Keane
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom
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14
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Yu Z, Pang H, Yu H, Wu Z, Ding Z, Fan G. Segmental disturbance of white matter microstructure in predicting mild cognitive impairment in idiopathic Parkinson's disease: An individualized study based on automated fiber quantification tractography. Parkinsonism Relat Disord 2023; 115:105802. [PMID: 37734997 DOI: 10.1016/j.parkreldis.2023.105802] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2023] [Revised: 08/01/2023] [Accepted: 08/05/2023] [Indexed: 09/23/2023]
Abstract
PURPOSE The neurobiological mechanisms and an early identification of MCI in idiopathic Parkinson's disease (IPD) remain unclear. To investigate the abnormalities of types of white matter (WM) fiber tracts segmentally and establish reliable indicator in IPD-MCI. METHODS Forty IPD with normal cognition (IPD-NCI), thirty IPD-MCI, and thirty healthy controls were included. Automated fiber quantification was applied to extract the fractional anisotropy (FA) and mean diffusivity (MD) values at 100 locations along the major fibers. Partial correlation was performed between diffusion values and cognitive performance. Furthermore, machine learning analyses were conducted to determine the imaging biomarker of MCI. Permutation tests were performed to evaluate the pointwise differences under the FWE correction. RESULTS IPD-MCI had similar but more severe and widespread WM degeneration in the association, projection, and commissural fibers compared with IPD-NCI. Meanwhile, IPD-MCI showed distinct degeneration pattern in the association fibers. The FA of the anterior segment of right inferior fronto-occipital fasciculus (IFOF) was positively correlated with MoCA (P < 0.05) and executive function (P < 0.05). The MD of the middle and posterior segment of left superior longitudinal fasciculus (SLF) was negatively correlated with MoCA P < 0.05), executive (P < 0.05), visuospatial function (P < 0.05). Furthermore, the AUC of support vector machine model was 0.80 in the validation dataset. The FA of anterior segment of right IFOF contribute the most. CONCLUSION This study demonstrated that regional tract-specific microstructural degeneration, especially the association fibers, can be used to predict MCI in IPD. Especially, the right IFOF may be a significant imaging biomarker in predicting IPD with MCI.
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Affiliation(s)
- Ziyang Yu
- School of Medicine, Xiamen University, Xiamen, Fujian Province, China; Department of Radiology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning Province, China.
| | - Huize Pang
- Department of Radiology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning Province, China.
| | - Hongmei Yu
- Department of Neurology, First Affiliated Hospital of China Medical University, Shenyang, China.
| | - Ziqian Wu
- School of Medicine, Xiamen University, Xiamen, Fujian Province, China.
| | - Zhi Ding
- School of Medicine, Xiamen University, Xiamen, Fujian Province, China.
| | - Guoguang Fan
- Department of Radiology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning Province, China.
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15
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Arcuri J, Elbaz A, Sharif NA, Bhattacharya SK. Ocular Treatments Targeting Separate Prostaglandin Receptors in Mice Exhibit Alterations in Intraocular Pressure and Optic Nerve Lipidome. J Ocul Pharmacol Ther 2023; 39:541-550. [PMID: 37267222 PMCID: PMC10616952 DOI: 10.1089/jop.2023.0006] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 02/27/2023] [Indexed: 06/04/2023] Open
Abstract
Background: Prostaglandin (PG) receptor agonists are the first-line eyedrop medication treatment for glaucoma. The pathophysiology of this disease is not completely known, and elevated intraocular pressure (IOP) is the key risk factor. The membranes of the axons (of the retinal ganglion cells) passing through the optic nerve (ON) head experience significant damage. Lipids are an essential component of the cell's membranes, and their profile changes owing to neurodegeneration. In this investigation, three agonists for distinct PG receptors were used to lower IOP and to determine their effect on the ON lipids. We utilized DBA/2J mice as a model of progressive IOP increase and C57BL/6J mice as a model of ON crush. Methods: DBA/2J and C57BL/6J mice were treated daily for 2 weeks with Latanoprost, PF-04217329, or Rivenprost. The IOP was measured every 2 days and pattern electroretinogram was conducted for DBA/2J throughout the study. Lipidomics of ONs were performed for each model and treatment group. Results: Of the tested compounds, Latanoprost and Rivenprost were the most effective agents decreasing IOP in DBA/2J mice. Triglyceride levels increased in the ONs of DBA/2J mouse model, but phosphatidylethanolamine levels underwent highest level changes in the C57BL/6J mouse model when treated with Latanoprost. Conclusions: Topical ocular FP- and EP4-receptor agonists appreciably lowered IOP in the DBA/2J mice representing pigmentary glaucoma. The observed changes in ON lipidomics in the different models of neurodegeneration suggest possible use of such measures in the development of more effective medicines for both IOP reduction and ON protection.
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Affiliation(s)
- Jennifer Arcuri
- Department of Ophthalmology, Bascom Palmer Eye Institute, Miller School of Medicine at University of Miami, Miami, Florida, USA
- Miami Integrative Metabolomics Research Center, Miami, Florida, USA
- Molecular Cellular Pharmacology Graduate Program, University of Miami, Miami, Florida, USA
| | - Abdelrahman Elbaz
- Department of Ophthalmology, Bascom Palmer Eye Institute, Miller School of Medicine at University of Miami, Miami, Florida, USA
- Miami Integrative Metabolomics Research Center, Miami, Florida, USA
| | - Najam A. Sharif
- Eye-APC Duke-National University of Singapore Medical School, Singapore
- Singapore Eye Research Institute, Singapore
- Department of Pharmacology and Neuroscience, University of North Texas Health Sciences Center, Fort Worth, Texas, USA
- Department of Pharmacy Sciences, Creighton University, Omaha, Nebraska, USA
- Department of Pharmaceutical Sciences, College of Pharmacy and Health Sciences, Texas Southern University, Houston, Texas, USA
- Imperial College of Science and Technology, St. Mary's Campus, London, United Kingdom
- Institute of Ophthalmology, University College London, London, United Kingdom
- Ophthalmology Innovation Center and Product Development Division, Santen Inc., Emeryville, California, USA
| | - Sanjoy K. Bhattacharya
- Department of Ophthalmology, Bascom Palmer Eye Institute, Miller School of Medicine at University of Miami, Miami, Florida, USA
- Miami Integrative Metabolomics Research Center, Miami, Florida, USA
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16
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Boura I, Qamar MA, Daddoveri F, Leta V, Poplawska-Domaszewicz K, Falup-Pecurariu C, Ray Chaudhuri K. SARS-CoV-2 and Parkinson's Disease: A Review of Where We Are Now. Biomedicines 2023; 11:2524. [PMID: 37760965 PMCID: PMC10526287 DOI: 10.3390/biomedicines11092524] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Revised: 08/16/2023] [Accepted: 09/06/2023] [Indexed: 09/29/2023] Open
Abstract
Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), which causes coronavirus disease 2019 (COVID-19), has been discussed in the context of Parkinson's disease (PD) over the last three years. Now that we are entering the long-term phase of this pandemic, we are intrigued to look back and see how and why the community of patients with PD was impacted and what knowledge we have collected so far. The relationship between COVID-19 and PD is likely multifactorial in nature. Similar to other systemic infections, a probable worsening of PD symptoms secondary to COVID-19, either transient or persistent (long COVID), has been demonstrated, while the COVID-19-related mortality of PD patients may be increased compared to the general population. These observations could be attributed to direct or indirect damage from SARS-CoV-2 in the central nervous system (CNS) or could result from general infection-related parameters (e.g., hospitalization or drugs) and the sequelae of the COVID-19 pandemic (e.g., quarantine). A growing number of cases of new-onset parkinsonism or PD following SARS-CoV-2 infection have been reported, either closely (post-infectious) or remotely (para-infectious) after a COVID-19 diagnosis, although such a link remains hypothetical. The pathophysiological substrate of these phenomena remains elusive; however, research studies, particularly pathology studies, have suggested various COVID-19-induced degenerative changes with potential associations with PD/parkinsonism. We review the literature to date for answers considering the relationship between SARS-CoV-2 infection and PD/parkinsonism, examining pathophysiology, clinical manifestations, vaccination, and future directions.
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Affiliation(s)
- Iro Boura
- Parkinson’s Foundation Centre of Excellence, King’s College Hospital, Denmark Hill, London SE5 9RS, UK; (I.B.)
- Basic and Clinical Neuroscience, The Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, 5 Cutcombe Road, London SE5 9RX, UK
- Medical School, University of Crete, Heraklion, 71003 Iraklion, Greece
| | - Mubasher A. Qamar
- Parkinson’s Foundation Centre of Excellence, King’s College Hospital, Denmark Hill, London SE5 9RS, UK; (I.B.)
- Basic and Clinical Neuroscience, The Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, 5 Cutcombe Road, London SE5 9RX, UK
| | - Francesco Daddoveri
- Department of Translational Research and of New Surgical and Medical Technologies, University of Pisa, Via Savi 10, 56126 Pisa, Italy
| | - Valentina Leta
- Parkinson’s Foundation Centre of Excellence, King’s College Hospital, Denmark Hill, London SE5 9RS, UK; (I.B.)
- Basic and Clinical Neuroscience, The Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, 5 Cutcombe Road, London SE5 9RX, UK
- Parkinson and Movement Disorders Unit, Department of Clinical Neuroscience, Fondazione, IRCCS Istituto Neurologico Carlo Besta, 20133 Milan, Italy
| | | | - Cristian Falup-Pecurariu
- Department of Neurology, County Clinic Hospital, Faculty of Medicine, Transilvania University Brasov, 500019 Brasov, Romania
| | - K. Ray Chaudhuri
- Parkinson’s Foundation Centre of Excellence, King’s College Hospital, Denmark Hill, London SE5 9RS, UK; (I.B.)
- Basic and Clinical Neuroscience, The Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, 5 Cutcombe Road, London SE5 9RX, UK
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Pérez-Acuña D, Rhee KH, Shin SJ, Ahn J, Lee JY, Lee SJ. Retina-to-brain spreading of α-synuclein after intravitreal injection of preformed fibrils. Acta Neuropathol Commun 2023; 11:83. [PMID: 37210559 DOI: 10.1186/s40478-023-01575-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 04/30/2023] [Indexed: 05/22/2023] Open
Abstract
Parkinson's disease (PD) is a neurodegenerative disorder characterized by the aggregation of misfolded α-synuclein and progressive spreading of the aggregates from a few discrete regions to wider brain regions. Although PD has been classically considered a movement disorder, a large body of clinical evidence has revealed the progressive occurrence of non-motor symptoms. Patients present visual symptoms in the initial stages of the disease, and accumulation of phospho-α-synuclein, dopaminergic neuronal loss, and retinal thinning has been observed in the retinas of PD patients. Based on such human data, we hypothesized that α-synuclein aggregation can initiate in the retina and spread to the brain through the visual pathway. Here, we demonstrate accumulation of α-synuclein in the retinas and brains of naive mice after intravitreal injection of α-synuclein preformed fibrils (PFFs). Histological analyses showed deposition of phospho-α-synuclein inclusions within the retina 2 months after injection, with increased oxidative stress leading to loss of retinal ganglion cells and dopaminergic dysfunction. In addition, we found accumulation of phospho-α-synuclein in cortical areas with accompanying neuroinflammation after 5 months. Collectively, our findings suggest that retinal synucleinopathy lesions initiated by intravitreal injection of α-synuclein PFFs spread to various brain regions through the visual pathway in mice.
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Affiliation(s)
- Dayana Pérez-Acuña
- Department of Biomedical Sciences, Seoul National University College of Medicine, 103 Daehak-Ro, Jongro-Gu, Seoul, 03080, Korea
| | - Ka Hyun Rhee
- Department of Biomedical Sciences, Seoul National University College of Medicine, 103 Daehak-Ro, Jongro-Gu, Seoul, 03080, Korea
- Department of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, MN, 55455, USA
| | - Soo Jean Shin
- Department of Biomedical Sciences, Seoul National University College of Medicine, 103 Daehak-Ro, Jongro-Gu, Seoul, 03080, Korea
| | - Jeeyun Ahn
- Department of Ophthalmology, College of Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul National University, Seoul, South Korea
| | - Jee-Young Lee
- Department of Neurology, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, South Korea
| | - Seung-Jae Lee
- Department of Biomedical Sciences, Seoul National University College of Medicine, 103 Daehak-Ro, Jongro-Gu, Seoul, 03080, Korea.
- Neuroscience Research Institute, Seoul National University College of Medicine, Seoul, South Korea.
- Convergence Research Center for Dementia, Seoul National University College of Medicine, Seoul, South Korea.
- Neuramedy, Seoul, South Korea.
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18
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Li J, Yan P, Li Y, Han M, Zeng Q, Li J, Yu Z, Zhang D, Chen X. Harnessing the power of Raman spectroscopic imaging for ophthalmology. Front Chem 2023; 11:1211121. [PMID: 37252371 PMCID: PMC10213270 DOI: 10.3389/fchem.2023.1211121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Accepted: 05/04/2023] [Indexed: 05/31/2023] Open
Abstract
Eye diseases can cause great inconvenience to people's daily life; therefore, it is necessary to study the causes of ocular diseases and related physiological processes. Raman spectroscopic imaging (RSI) is a non-destructive, non-contact detection technique with the advantages of label-free, non-invasive and highly specific. Compared with other mature imaging technologies, RSI can provide real-time molecular information and high-resolution imaging at relatively low cost, making it very suitable for quantitative detection of biological molecules. RSI can reflect the overall situation of the sample, revealing the content distribution of the same substance in different areas of the sample. This review focuses on the recent advances in ophthalmology, with particular emphasis on the powerful use of RSI techniques, as well as its combination with other imaging techniques. Finally, we prospect the wider application and future potential of RSI approaches in ophthalmology.
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Affiliation(s)
- Jing Li
- Shaanxi Eye Hospital, Xi’an People’s Hospital (Xi’an Fourth Hospital), Affiliated People’s Hospital of Northwest University, Xi’an, Shaanxi, China
| | - Peirao Yan
- Center for Biomedical-photonics and Molecular Imaging, Xi’an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi’an, Shaanxi, China
| | - Yong Li
- Shaanxi Eye Hospital, Xi’an People’s Hospital (Xi’an Fourth Hospital), Affiliated People’s Hospital of Northwest University, Xi’an, Shaanxi, China
| | - Ming Han
- Center for Biomedical-photonics and Molecular Imaging, Xi’an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi’an, Shaanxi, China
| | - Qi Zeng
- Center for Biomedical-photonics and Molecular Imaging, Xi’an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi’an, Shaanxi, China
| | - Juan Li
- Shaanxi Eye Hospital, Xi’an People’s Hospital (Xi’an Fourth Hospital), Affiliated People’s Hospital of Northwest University, Xi’an, Shaanxi, China
| | - Zhe Yu
- Shaanxi Eye Hospital, Xi’an People’s Hospital (Xi’an Fourth Hospital), Affiliated People’s Hospital of Northwest University, Xi’an, Shaanxi, China
| | - Dongjie Zhang
- Center for Biomedical-photonics and Molecular Imaging, Xi’an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi’an, Shaanxi, China
| | - Xueli Chen
- Center for Biomedical-photonics and Molecular Imaging, Xi’an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi’an, Shaanxi, China
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19
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Ehrenberg AJ, Kelberman MA, Liu KY, Dahl MJ, Weinshenker D, Falgàs N, Dutt S, Mather M, Ludwig M, Betts MJ, Winer JR, Teipel S, Weigand AJ, Eschenko O, Hämmerer D, Leiman M, Counts SE, Shine JM, Robertson IH, Levey AI, Lancini E, Son G, Schneider C, Egroo MV, Liguori C, Wang Q, Vazey EM, Rodriguez-Porcel F, Haag L, Bondi MW, Vanneste S, Freeze WM, Yi YJ, Maldinov M, Gatchel J, Satpati A, Babiloni C, Kremen WS, Howard R, Jacobs HIL, Grinberg LT. Priorities for research on neuromodulatory subcortical systems in Alzheimer's disease: Position paper from the NSS PIA of ISTAART. Alzheimers Dement 2023; 19:2182-2196. [PMID: 36642985 PMCID: PMC10182252 DOI: 10.1002/alz.12937] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 12/08/2022] [Accepted: 12/19/2022] [Indexed: 01/17/2023]
Abstract
The neuromodulatory subcortical system (NSS) nuclei are critical hubs for survival, hedonic tone, and homeostasis. Tau-associated NSS degeneration occurs early in Alzheimer's disease (AD) pathogenesis, long before the emergence of pathognomonic memory dysfunction and cortical lesions. Accumulating evidence supports the role of NSS dysfunction and degeneration in the behavioral and neuropsychiatric manifestations featured early in AD. Experimental studies even suggest that AD-associated NSS degeneration drives brain neuroinflammatory status and contributes to disease progression, including the exacerbation of cortical lesions. Given the important pathophysiologic and etiologic roles that involve the NSS in early AD stages, there is an urgent need to expand our understanding of the mechanisms underlying NSS vulnerability and more precisely detail the clinical progression of NSS changes in AD. Here, the NSS Professional Interest Area of the International Society to Advance Alzheimer's Research and Treatment highlights knowledge gaps about NSS within AD and provides recommendations for priorities specific to clinical research, biomarker development, modeling, and intervention. HIGHLIGHTS: Neuromodulatory nuclei degenerate in early Alzheimer's disease pathological stages. Alzheimer's pathophysiology is exacerbated by neuromodulatory nuclei degeneration. Neuromodulatory nuclei degeneration drives neuropsychiatric symptoms in dementia. Biomarkers of neuromodulatory integrity would be value-creating for dementia care. Neuromodulatory nuclei present strategic prospects for disease-modifying therapies.
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Affiliation(s)
- Alexander J Ehrenberg
- Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, California, USA
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, California, USA
- Innovative Genomics Institute, University of California, Berkeley, Berkeley, California, USA
| | - Michael A Kelberman
- Department of Human Genetics, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Kathy Y Liu
- Division of Psychiatry, University College London, London, UK
| | - Martin J Dahl
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, California, USA
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
| | - David Weinshenker
- Department of Human Genetics, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Neus Falgàs
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
- Global Brain Health Institute, University of California, San Francisco, San Francisco, California, USA
| | - Shubir Dutt
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, California, USA
- Department of Psychology, University of Southern California, Los Angeles, California, USA
| | - Mara Mather
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, California, USA
- Department of Psychology, University of Southern California, Los Angeles, California, USA
- Department of Biomedical Engineering, University of Southern California, Los Angeles, California, USA
| | - Mareike Ludwig
- Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke University, Magdeburg, Germany
- Center for Behavioral Brain Sciences, University of Magdeburg, Magdeburg, Germany
| | - Matthew J Betts
- Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke University, Magdeburg, Germany
- Center for Behavioral Brain Sciences, University of Magdeburg, Magdeburg, Germany
- Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Magdeburg, Germany
| | - Joseph R Winer
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, California, USA
| | - Stefan Teipel
- Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Rostock/Greifswald, Rostock, Germany
- Department of Psychosomatic Medicine, University Medicine Rostock, Rostock, Germany
| | - Alexandra J Weigand
- San Diego State University/University of California San Diego Joint Doctoral Program in Clinical Psychology, San Diego, California, USA
| | - Oxana Eschenko
- Department of Computational Neuroscience, Max Planck Institute for Biological Cybernetics, Tuebingen, Germany
| | - Dorothea Hämmerer
- Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke University, Magdeburg, Germany
- Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Magdeburg, Germany
- Department of Psychology, University of Innsbruck, Innsbruck, Austria
- Institute of Cognitive Neuroscience, University College London, London, UK
| | - Marina Leiman
- Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke University, Magdeburg, Germany
- Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Magdeburg, Germany
| | - Scott E Counts
- Department of Translational Neuroscience, Michigan State University, Grand Rapids, Michigan, USA
- Department of Family Medicine, Michigan State University, Grand Rapids, Michigan, USA
- Michigan Alzheimer's Disease Research Center, Ann Arbor, Michigan, USA
| | - James M Shine
- Brain and Mind Center, The University of Sydney, Sydney, Australia
| | - Ian H Robertson
- Global Brain Health Institute, Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Allan I Levey
- Goizueta Alzheimer's Disease Research Center, Emory University, Atlanta, Georgia, USA
- Department of Neurology, Emory University School of Medicine, Atlanta, Georgia, USA
- Goizueta Institute, Emory University, Atlanta, Georgia, USA
| | - Elisa Lancini
- Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke University, Magdeburg, Germany
- Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Magdeburg, Germany
| | - Gowoon Son
- Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, California, USA
| | - Christoph Schneider
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Maxime Van Egroo
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Faculty of Health, Medicine, and Life Sciences, School for Mental Health and Neuroscience, Alzheimer Centre Limburg, Maastricht University, Maastricht, the Netherlands
| | - Claudio Liguori
- Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
- Neurology Unit, University Hospital of Rome Tor Vergata, Rome, Italy
| | - Qin Wang
- Department of Neuroscience and Regenerative Medicine, Medical College of Georgia, Agusta University, Agusta, Georgia, USA
| | - Elena M Vazey
- Department of Biology, University of Massachusetts Amherst, Amherst, Massachusetts, USA
| | | | - Lena Haag
- Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke University, Magdeburg, Germany
- Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Magdeburg, Germany
| | - Mark W Bondi
- Department of Psychiatry, University of California, San Diego, La Jolla, California, USA
- Psychology Service, VA San Diego Healthcare System, San Diego, California, USA
| | - Sven Vanneste
- Global Brain Health Institute, Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
- School of Psychology, Trinity College Dublin, Dublin, Ireland
- Trinity College Institute for Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Whitney M Freeze
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
- Department of Neuropsychology and Psychiatry, Maastricht University, Maastricht, the Netherlands
| | - Yeo-Jin Yi
- Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke University, Magdeburg, Germany
- Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Magdeburg, Germany
| | - Mihovil Maldinov
- Department of Psychiatry and Psychotherapy, University of Rostock, Rostock, Germany
| | - Jennifer Gatchel
- Division of Geriatric Psychiatry, McLean Hospital, Harvard Medical School, Belmont, Massachusetts, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Abhijit Satpati
- Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, California, USA
| | - Claudio Babiloni
- Department of Physiology and Pharmacology "V. Erspamer,", Sapienza University of Rome, Rome, Italy
- Hospital San Raffaele Cassino, Cassino, Italy
| | - William S Kremen
- Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, California, USA
| | - Robert Howard
- Division of Psychiatry, University College London, London, UK
| | - Heidi I L Jacobs
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Faculty of Health, Medicine, and Life Sciences, School for Mental Health and Neuroscience, Alzheimer Centre Limburg, Maastricht University, Maastricht, the Netherlands
| | - Lea T Grinberg
- Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, California, USA
- Global Brain Health Institute, University of California, San Francisco, San Francisco, California, USA
- Department of Pathology, University of California, San Francisco, San Francisco, California, USA
- Department of Pathology, University of São Paulo Medical School, São Paulo, Brazil
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20
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Sánchez-Sáez X, Ortuño-Lizarán I, Sánchez-Castillo C, Lax P, Cuenca N. Starburst amacrine cells, involved in visual motion perception, loose their synaptic input from dopaminergic amacrine cells and degenerate in Parkinson's disease patients. Transl Neurodegener 2023; 12:17. [PMID: 37013599 PMCID: PMC10071607 DOI: 10.1186/s40035-023-00348-y] [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: 11/21/2022] [Accepted: 03/10/2023] [Indexed: 04/05/2023] Open
Abstract
BACKGROUND The main clinical symptoms characteristic of Parkinson's disease (PD) are bradykinesia, tremor, and other motor deficits. However, non-motor symptoms, such as visual disturbances, can be identified at early stages of the disease. One of these symptoms is the impairment of visual motion perception. Hence, we sought to determine if the starburst amacrine cells, which are the main cellular type involved in motion direction selectivity, are degenerated in PD and if the dopaminergic system is related to this degeneration. METHODS Human eyes from control (n = 10) and PD (n = 9) donors were available for this study. Using immunohistochemistry and confocal microscopy, we quantified starburst amacrine cell density (choline acetyltransferase [ChAT]-positive cells) and the relationship between these cells and dopaminergic amacrine cells (tyrosine hydroxylase-positive cells and vesicular monoamine transporter-2-positive presynapses) in cross-sections and wholemount retinas. RESULTS First, we found two different ChAT amacrine populations in the human retina that presented different ChAT immunoreactivity intensity and different expression of calcium-binding proteins. Both populations are affected in PD and their density is reduced compared to controls. Also, we report, for the first time, synaptic contacts between dopaminergic amacrine cells and ChAT-positive cells in the human retina. We found that, in PD retinas, there is a reduction of the dopaminergic synaptic contacts into ChAT cells. CONCLUSIONS Taken together, this work indicates degeneration of starburst amacrine cells in PD related to dopaminergic degeneration and that dopaminergic amacrine cells could modulate the function of starburst amacrine cells. Since motion perception circuitries are affected in PD, their assessment using visual tests could provide new insights into the diagnosis of PD.
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Grants
- FEDER-PID 2019-106230RB-I00 Ministerio de Ciencia e Innovación
- FEDER-PID 2019-106230RB-I00 Ministerio de Ciencia e Innovación
- FPU16/04114 Ministerio de Universidades
- RETICS-FEDER RD16/0008/0016 Instituto de Salud Carlos III
- IDIFEDER/2017/064 Conselleria de Innovación, Universidades, Ciencia y Sociedad Digital, Generalitat Valenciana
- PROMETEO/2021/024 Conselleria de Innovación, Universidades, Ciencia y Sociedad Digital, Generalitat Valenciana
- PROMETEO/2021/024 Conselleria de Innovación, Universidades, Ciencia y Sociedad Digital, Generalitat Valenciana
- APOSTD/2020/245 Conselleria de Innovación, Universidades, Ciencia y Sociedad Digital, Generalitat Valenciana
- 2019/00286/001 Es Retina Asturias
- 2019/00286/001 Es Retina Asturias
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Affiliation(s)
- Xavier Sánchez-Sáez
- Department of Physiology, Genetics and Microbiology, University of Alicante, San Vicente del Raspeig, Spain
| | - Isabel Ortuño-Lizarán
- Department of Physiology, Genetics and Microbiology, University of Alicante, San Vicente del Raspeig, Spain
| | - Carla Sánchez-Castillo
- Department of Physiology, Genetics and Microbiology, University of Alicante, San Vicente del Raspeig, Spain
| | - Pedro Lax
- Department of Physiology, Genetics and Microbiology, University of Alicante, San Vicente del Raspeig, Spain
- Alicante Institute for Health and Biomedical Research (ISABIAL), Alicante, Spain
| | - Nicolás Cuenca
- Department of Physiology, Genetics and Microbiology, University of Alicante, San Vicente del Raspeig, Spain.
- Alicante Institute for Health and Biomedical Research (ISABIAL), Alicante, Spain.
- Ramón Margalef Institute, University of Alicante, San Vicente del Raspeig, Spain.
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21
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Huang W, Hua C, Guo Y, Gao W, Li Y, Zheng Y. Super resolution imaging reconstruction reveals that gold standard methods may not correctly conclude neural/brain functional recovery. Comput Med Imaging Graph 2023; 105:102198. [PMID: 36805708 DOI: 10.1016/j.compmedimag.2023.102198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2022] [Revised: 12/17/2022] [Accepted: 02/08/2023] [Indexed: 02/17/2023]
Abstract
The status of cerebral perfusion and its restoration level play a vital role in the prognosis and clinical decision making of many neurosurgical diseases. As such, gold standard methods including CT, MR and ICP monitoring, which can indicate and measure cerebral perfusion and restoration, have been widely adopted to evaluate whether or not a patient has recovered from neurofunctional disabilities. This robust combination of methods, however, is confronted with a growing number of contradictions in recent years due to its inability to measure the status of cerebral reperfusion in microvasculature level, even though this has been shown to determine neurofunctional restoration as well or even better. To this date, nevertheless, we have very limited imaging methods that could evaluate human cerebral microperfusion both safely and accurately under most neurosurgical conditions. We herein report a new method of acquiring a patient's cerebral microperfusion status noninvasively which could display the precise distribution of microvasculature in deep cerebral regions with a resolution of ∼30 µm, using everyday bed-side ultrasonography combined with a computerized super-resolution reconstruction algorithm. Using this imaging modality, we found that a patient's cerebral microperfusion might not be improved by some routine administrations even though the gold standard method had yielded the opposite conclusions. Our imaging modality retains the safe, portable feature of ordinary ultrasonography while possesses the extraordinary super-resolution nature, which enables an efficient, precise diagnosis of cerebral perfusion. Most importantly, the super resolution nature of this method may also facilitate early-stage evaluation of a patient's neurofunctional restoration level and avoid overoptimistic conclusions from conventional angiography or ICP monitoring.
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Affiliation(s)
- Weifeng Huang
- Department of Critical Care Medicine, The Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chen Hua
- Department of Ultrasound, The Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai Center for Brain Science, Shanghai, China.
| | - Yan Guo
- Department of Neurosurgery, The Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wenwei Gao
- Department of Neurosurgery, The Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yingchuan Li
- Department of Critical Care Medicine, The Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Department of Critical Care Medicine, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
| | - Yuanyi Zheng
- Department of Ultrasound, The Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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22
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Croci D, Zomer A, Kowal J, Joyce JA. Cranial imaging window implantation technique for longitudinal multimodal imaging of the brain environment in live mice. STAR Protoc 2023; 4:102197. [PMID: 36964905 PMCID: PMC10050773 DOI: 10.1016/j.xpro.2023.102197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2022] [Revised: 01/23/2023] [Accepted: 03/06/2023] [Indexed: 03/26/2023] Open
Abstract
Intravital two-photon microscopy of the mouse brain requires visual access without affecting normal cognitive functions, which is crucial for longitudinal imaging studies that may last several months. In this protocol, we describe the surgical implantation of a metal-free cranial imaging window, which can be used to perform two-photon microscopy and magnetic resonance imaging in the same animal. This multimodal imaging platform enables the investigation of dynamic processes in the central nervous system at a cellular and macroscopic level. For complete details on the use and execution of this protocol in the context of brain cancer, please refer to Zomer et al.1.
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Affiliation(s)
- Davide Croci
- Department of Oncology, University of Lausanne, 1011 Lausanne, Switzerland; Ludwig Institute for Cancer Research, University of Lausanne, 1011 Lausanne, Switzerland; Agora Cancer Research Centre Lausanne, 1011 Lausanne, Switzerland
| | - Anoek Zomer
- Department of Oncology, University of Lausanne, 1011 Lausanne, Switzerland; Ludwig Institute for Cancer Research, University of Lausanne, 1011 Lausanne, Switzerland; Agora Cancer Research Centre Lausanne, 1011 Lausanne, Switzerland
| | - Joanna Kowal
- Department of Oncology, University of Lausanne, 1011 Lausanne, Switzerland; Ludwig Institute for Cancer Research, University of Lausanne, 1011 Lausanne, Switzerland; Agora Cancer Research Centre Lausanne, 1011 Lausanne, Switzerland
| | - Johanna A Joyce
- Department of Oncology, University of Lausanne, 1011 Lausanne, Switzerland; Ludwig Institute for Cancer Research, University of Lausanne, 1011 Lausanne, Switzerland; Agora Cancer Research Centre Lausanne, 1011 Lausanne, Switzerland; L. Lundin and Family Brain Tumor Research Center, Departments of Oncology and Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, 1011 Lausanne, Switzerland.
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23
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Suh W, Baek SU, Oh JS, Seo SY, Kim JS, Han YM, Kim MS, Kang SY. Retinal Thickness and Its Interocular Asymmetry Between Parkinson's Disease and Drug-Induced Parkinsonism. J Korean Med Sci 2023; 38:e86. [PMID: 36942394 PMCID: PMC10027544 DOI: 10.3346/jkms.2023.38.e86] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Accepted: 12/14/2022] [Indexed: 03/08/2023] Open
Abstract
BACKGROUND Drug-induced parkinsonism (DIP) is common, but diagnosis is challenging. Although dopamine transporter imaging is useful, the cost and inconvenience are problematic, and an easily accessible screening technique is needed. We aimed to determine whether optical coherence tomography (OCT) findings could differentiate DIP from Parkinson's disease (PD). METHODS We investigated 97 de novo PD patients and 27 DIP patients using OCT and [18F] N-(3-fluoropropyl)-2b-carbon ethoxy-3b-(4-iodophenyl) nortropane (FP-CIT) positron emission tomography. We compared peripapillary retinal nerve fiber layer thickness (pRNFLT) and macular retinal thickness (mRT) between PD and DIP patients as well as interocular differences in the pRNFLT and the mRT. Asymmetric index (%) for retinal thickness (AIRT) was calculated to measure the interocular differences between pRNFLT and mRT. The correlation between AIRT and total striatal specific/non-specific binding ratio asymmetry index (SNBRAI) was investigated in PD and DIP patients. RESULTS No significant differences in pRNFLT and mRT values were observed between PD and DIP patients (all P values > 0.090). The mean SNBRAI was significantly higher in PD than in DIP (P = 0.008) patients; however, AIRT did not differ between PD and DIP patients in pRNFLT and mRT (all P values > 0.100). SNBRAI did not correlate with AIRT of pRNFL or mRT in PD and DIP patients (all P values > 0.060). CONCLUSION Our study showed no benefit of retinal thickness and interocular asymmetry measurements using OCT for distinguishing PD from DIP in the early stages. Additional investigations are needed for confirmation.
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Affiliation(s)
- Wool Suh
- Department of Ophthalmology, Institute of Ophthalmology and Optometry, Ewha Womans University Mok-Dong Hospital, Ewha Womans University School of Medicine, Seoul, Korea
| | - Sung Uk Baek
- Department of Ophthalmology, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang, Korea
| | - Jungsu S Oh
- Department of Nuclear Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Seung Yeon Seo
- Department of Nuclear Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Jae Seung Kim
- Department of Nuclear Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - You Mie Han
- Department of Nuclear Medicine, Dongtan Sacred Heart Hospital, Hallym University College of Medicine, Hwaseong, Korea
| | - Min Seung Kim
- Department of Neurology, Dongtan Sacred Heart Hospital, Hallym University College of Medicine, Hwaseong, Korea
| | - Suk Yun Kang
- Department of Neurology, Dongtan Sacred Heart Hospital, Hallym University College of Medicine, Hwaseong, Korea.
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24
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Choroidal structural analysis in ultra-high risk and first-episode psychosis. Eur Neuropsychopharmacol 2023; 70:72-80. [PMID: 36931136 DOI: 10.1016/j.euroneuro.2023.02.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Revised: 02/02/2023] [Accepted: 02/22/2023] [Indexed: 03/19/2023]
Abstract
Both structural and functional alterations in the retina and the choroid of the eye, as parts of the central nervous system, have been shown in psychotic disorders, especially in schizophrenia. In addition, genetic and imaging studies indicate vascular and angiogenesis anomalies in the psychosis spectrum disorders. In this ocular imaging study, choroidal structure and vascularity were investigated using enhanced depth imaging (EDI) optical coherence tomography (OCT) in first-episode psychosis (FEP), ultra-high risk for psychosis (UHR-P), and age- and gender- matched healthy controls (HCs). There were no significant differences between groups in central choroidal thickness, stromal choroidal area (SCA), luminal choroidal area (LCA) and total subfoveal choroidal area. The LCA/SCA ratio (p<0.001) and the choroidal vascularity index (CVI) (p<0.001) were significantly different between FEP, UHR-P and HCs. CVI and LCA/SCA ratio were significantly higher in patients with FEP compared to help-seeking youth at UHR-P. CVI and LCA/SCA ratio were not different between UHR-P and HCs. However, CVI was higher in UHR-P compared to HCs after excluding the outliers for the sensitivity analysis (p = 0.002). Current findings suggest that choroidal thickness is normal, but there are abnormalities in choroidal microvasculature in prodromal and first-episode psychosis. Further longitudinal studies are needed to investigate oculomics, especially CVI, as a promising biomarker for the prediction of conversion to psychosis in individuals at clinical high-risk.
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25
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Central retinal microvasculature damage is associated with orthostatic hypotension in Parkinson's disease. NPJ Parkinsons Dis 2023; 9:36. [PMID: 36894544 PMCID: PMC9998652 DOI: 10.1038/s41531-023-00480-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Accepted: 02/22/2023] [Indexed: 03/11/2023] Open
Abstract
Orthostatic hypotension (OH) is a common non-motor symptom in Parkinson's disease (PD). OH can cause cerebral and retinal hypoperfusion and is associated with microvascular damage in PD. Optical coherence tomography angiography (OCTA) is a non-invasive technology that can be used to visualize the retinal microvasculature and detect microvascular damage in PD. In the present study, 51 PD patients (OH+, n = 20, 37 eyes; OH-, n = 32, 61 eyes) and 51 healthy controls (100 eyes) were evaluated. The Unified Parkinson's Disease Rating Scale III, Hoehn and Yahr scale, Montreal Cognitive Assessment, levodopa equivalent daily dose, and vascular risk factors, including hypertension, diabetes, and dyslipidemia, were investigated. PD patients underwent a head-up tilt (HUT) test. The PD patients had a lower superficial retinal capillary plexus (SRCP) density in the central region than control patients. The PDOH+ group had lower vessel density in the SRCP of the central region compared with the control group and lower vessel density in the DRCP of the central region than the PDOH- and control groups. The changes in systolic and diastolic blood pressure during the HUT test in PD patients showed a negative correlation with the vessel density in the DRCP central region. The presence of OH was a critical factor associated with central microvasculature damage in PD. These findings indicate that OCTA can be a useful and non-invasive tool for detecting microvasculature damage in PD patients.
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26
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Du Z, Wang T. Knowledge domain and dynamic patterns in multimodal molecular imaging from 2012 to 2021: A visual bibliometric analysis. Medicine (Baltimore) 2023; 102:e32780. [PMID: 36705366 PMCID: PMC9875962 DOI: 10.1097/md.0000000000032780] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/28/2023] Open
Abstract
Multimodal molecular imaging technologies have been widely used to optimize medical research and clinical practice. Bibliometric analysis was performed to identify global research trends, hot spots, and scientific frontiers of multimodal molecular imaging technology from 2012 to 2021. The articles and reviews related to multimodal molecular imaging were retrieved from the Web of Science Core Collection. A bibliometric study was performed using CiteSpace and VOSviewer. A total of 4169 articles and reviews from 2012 to 2021 were analyzed. An increasing trend in the number of articles on multimodal molecular imaging technology was observed. These publications mainly come from 417 institutions in 92 countries, led by the USA and China. K. Bailey Freund published the most papers amongst the publications, while R.F. Spaide had the most co-citations. A dual map overlay of the literature shows that most publications were specialized in physics/materials/chemistry, and molecular/biology/immunology. Synergistic therapy in cancer, advanced nanotechnology, and multimodal imaging in ophthalmology are new trends and developing areas of interest. A global bibliometric and visualization analysis was used to comprehensively review the published research related to multimodal molecular imaging. This study may help in understanding the dynamic patterns of multimodal molecular imaging technology research and point out the developing areas of this field.
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Affiliation(s)
- Zhe Du
- Trauma Center, Peking University People’s Hospital, National Center for Trauma Medicine, Key Laboratory of Trauma and Neural Regeneration (Ministry of Education), Beijing, China
| | - Tianbing Wang
- Trauma Center, Peking University People’s Hospital, National Center for Trauma Medicine, Key Laboratory of Trauma and Neural Regeneration (Ministry of Education), Beijing, China
- *Correspondence: Tianbing Wang, Trauma Center, Peking University People’s Hospital, No.11 South Xizhimen Street, Beijing 100044, China (e-mail: )
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27
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Narrative Review Concerning the Clinical Spectrum of Ophthalmological Impairments in Parkinson's Disease. Neurol Int 2023; 15:140-161. [PMID: 36810467 PMCID: PMC9944508 DOI: 10.3390/neurolint15010012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 01/20/2023] [Accepted: 01/23/2023] [Indexed: 01/30/2023] Open
Abstract
Ophthalmic non-motor impairments are common in Parkinson's disease patients, from the onset of the neurodegenerative disease and even prior to the development of motor symptoms. This is a very crucial component of the potential for early detection of this disease, even in its earliest stages. Since the ophthalmological disease is extensive and impacts all extraocular and intraocular components of the optical analyzer, a competent assessment of it would be beneficial for the patients. Because the retina is an extension of the nervous system and has the same embryonic genesis as the central nervous system, it is helpful to investigate the retinal changes in Parkinson's disease in order to hypothesize insights that may also be applicable to the brain. As a consequence, the detection of these symptoms and signs may improve the medical evaluation of PD and predict the illness' prognosis. Another valuable aspect of this pathology is the fact that the ophthalmological damage contributes significantly to the decrease in the quality of life of patients with Parkinson's disease. We provide an overview of the most significant ophthalmologic impairments associated with Parkinson's disease. These results certainly constitute a large number of the prevalent visual impairments experienced by PD patients.
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28
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Shuai W, Bu F, Zhu Y, Wu Y, Xiao H, Pan X, Zhang J, Sun Q, Wang G, Ouyang L. Discovery of Novel Indazole Chemotypes as Isoform-Selective JNK3 Inhibitors for the Treatment of Parkinson's Disease. J Med Chem 2023; 66:1273-1300. [PMID: 36649216 DOI: 10.1021/acs.jmedchem.2c01410] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
c-Jun N-terminal kinases (JNKs) are involved in the pathogenesis of various diseases. In particular, JNK3 and not JNK1/2 is primarily expressed in the brain and plays a key role in mediating neurodegenerative diseases like Parkinson's disease (PD). Due to the sequence similarity of JNK isoforms, developing isoform-selective JNK3 inhibitors to evaluate their biological functions and therapeutic potential in PD has become a challenge. Herein, docking-based virtual screening and structure-activity relationship studies identified 25c with excellent inhibitory activity against JNK3 (IC50 = 85.21 nM) and exhibited an over 100-fold isoform selectivity for JNK3 over JNK1/2 and remarkable kinase selectivity. 25c showed neuroprotective effects on in vitro and in vivo PD models by selectively inhibiting JNK3. Meanwhile, 25c showed an ideal blood-brain barrier permeability and low toxicity. Overall, this study provided a valuable molecular tool for investigating the role of JNK3 in PD and a solid foundation for developing JNK3-targeted drugs in PD treatment.
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Affiliation(s)
- Wen Shuai
- State Key Laboratory of Biotherapy and Cancer Center, Innovation Center of Nursing Research, Nursing Key Laboratory of Sichuan Province, National Clinical Research Center for Geriatrics, West China Hospital, and Collaborative Innovation Center of Biotherapy, Sichuan University, Chengdu 610041, China
| | - Faqian Bu
- State Key Laboratory of Biotherapy and Cancer Center, Innovation Center of Nursing Research, Nursing Key Laboratory of Sichuan Province, National Clinical Research Center for Geriatrics, West China Hospital, and Collaborative Innovation Center of Biotherapy, Sichuan University, Chengdu 610041, China
| | - Yumeng Zhu
- State Key Laboratory of Biotherapy and Cancer Center, Innovation Center of Nursing Research, Nursing Key Laboratory of Sichuan Province, National Clinical Research Center for Geriatrics, West China Hospital, and Collaborative Innovation Center of Biotherapy, Sichuan University, Chengdu 610041, China
| | - Yongya Wu
- State Key Laboratory of Biotherapy and Cancer Center, Innovation Center of Nursing Research, Nursing Key Laboratory of Sichuan Province, National Clinical Research Center for Geriatrics, West China Hospital, and Collaborative Innovation Center of Biotherapy, Sichuan University, Chengdu 610041, China
| | - Huan Xiao
- State Key Laboratory of Biotherapy and Cancer Center, Innovation Center of Nursing Research, Nursing Key Laboratory of Sichuan Province, National Clinical Research Center for Geriatrics, West China Hospital, and Collaborative Innovation Center of Biotherapy, Sichuan University, Chengdu 610041, China
| | - Xiaoli Pan
- State Key Laboratory of Biotherapy and Cancer Center, Innovation Center of Nursing Research, Nursing Key Laboratory of Sichuan Province, National Clinical Research Center for Geriatrics, West China Hospital, and Collaborative Innovation Center of Biotherapy, Sichuan University, Chengdu 610041, China
| | - Jifa Zhang
- State Key Laboratory of Biotherapy and Cancer Center, Innovation Center of Nursing Research, Nursing Key Laboratory of Sichuan Province, National Clinical Research Center for Geriatrics, West China Hospital, and Collaborative Innovation Center of Biotherapy, Sichuan University, Chengdu 610041, China
| | - Qiu Sun
- State Key Laboratory of Biotherapy and Cancer Center, Innovation Center of Nursing Research, Nursing Key Laboratory of Sichuan Province, National Clinical Research Center for Geriatrics, West China Hospital, and Collaborative Innovation Center of Biotherapy, Sichuan University, Chengdu 610041, China
| | - Guan Wang
- State Key Laboratory of Biotherapy and Cancer Center, Innovation Center of Nursing Research, Nursing Key Laboratory of Sichuan Province, National Clinical Research Center for Geriatrics, West China Hospital, and Collaborative Innovation Center of Biotherapy, Sichuan University, Chengdu 610041, China
| | - Liang Ouyang
- State Key Laboratory of Biotherapy and Cancer Center, Innovation Center of Nursing Research, Nursing Key Laboratory of Sichuan Province, National Clinical Research Center for Geriatrics, West China Hospital, and Collaborative Innovation Center of Biotherapy, Sichuan University, Chengdu 610041, China
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Retinal Structure Abnormalities in Parkinson's Disease and Atypical Parkinsonism. Biomolecules 2023; 13:biom13020218. [PMID: 36830588 PMCID: PMC9952897 DOI: 10.3390/biom13020218] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 01/17/2023] [Accepted: 01/20/2023] [Indexed: 01/25/2023] Open
Abstract
We investigated retinal structure changes in patients with Parkinson's disease (PD), multiple system atrophy (MSA), progressive supranuclear palsy (PSP), and controls, and explored the value of this method in differential diagnosis. Spectral domain optical coherence tomography (SD-OCT) was used to measure peripapillary retinal nerve fiber layer (pRNFL) thickness, and macular thickness and volume. PSP patients showed higher temporal pRNFL thickness than PD and MSA patients. Peripapillary RNFL thickness could be used for discriminating PSP from MSA and PD. PD and MSA patients showed retinal thinning in the foveal center circle and nasal inner sectors compared to controls. Macular thickness and volume could be used for discriminating MSA from PD. There were negative correlations between disease duration and OCT parameters in PD, MSA, and PSP, independent of age, sex ratio, and the side of the eye. PD and atypical parkinsonism correlate with specific patterns of retina alterations. OCT could be a biomarker for differential diagnosis and progression evaluation of parkinsonian syndrome.
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Cerveró A, Sánchez-Rodríguez A, Rivera-Sánchez M, Martínez-Rodríguez I, Sierra M, González-Aramburu I, Gutiérrez-González A, Andrés-Pacheco J, Sánchez-Peláez MV, Casado A, Infante J. Analysis of retinal nerve layers in idiopathic, LRRK2-associated Parkinson's disease and unaffected carriers of G2019S mutation. Parkinsonism Relat Disord 2023; 106:105246. [PMID: 36529112 DOI: 10.1016/j.parkreldis.2022.105246] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 11/15/2022] [Accepted: 12/12/2022] [Indexed: 12/15/2022]
Abstract
INTRODUCTION In both prodromal and early symptomatic stages of idiopathic PD (iPD) peripapillary retinal nerve fiber layer (pRNFL) and macular ganglion cell layer (mGCL) thinning have been identified. Here we assessed whether these alterations can also be detected in symptomatic and presymptomatic stages of LRRK2-PD. METHODS 218 eyes belonging to 20 iPD, 19 LRRK2-PD (L2PD), 24 LRRK2 non-manifesting carriers (L2NMC), and 46 controls (HCs). pRNFL, mGCL thickness (squares), and Bruch's membrane opening minimum rim width were evaluated by SD-OCT. In L2NMC, 123I-ioflupane SPECT (DaT-SPECT) with semi-quantitative analysis was carried out. RESULTS Compared to HCs, iPD patients showed significant thinning of the temporal (BMO-MRW and pRNFL), superior-temporal (BMO-MRW), inferior-temporal (BMO-MRW), superior-nasal (BMO-MRW) and central sectors (BMO-MRW) (p < 0.05), as well as in five mGCL sectors (p < 0.05). No significant differences were found between the L2PD or L2NMC and HCs. BMO-MRW thickness in its temporal-superior, superior-nasal and middle sectors was influenced by disease duration (p < 0.05) and mGCL thickness in sectors TS1, TS2, TS3, NS1 and NS3 was influenced by UPDRSIII and age (p < 0.05). CONCLUSION LRRK2-PD is distinguished from iPD by absent or less retinal nerve involvement, both in clinical and preclinical stages.
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Affiliation(s)
- Andrea Cerveró
- Ophthalmology Service, University Hospital Marqués de Valdecilla-IDIVAL, University of Cantabria (UC), Santander, Spain
| | | | - María Rivera-Sánchez
- Neurology Service, University Hospital Marqués de Valdecilla-IDIVAL, Santander, Spain
| | - Isabel Martínez-Rodríguez
- Nuclear Medicine, Department, Molecular Imaging Group (IDIVAL), University Hospital Marqués de Valdecilla, Santander, Spain
| | - María Sierra
- Neurology Service, University Hospital Marqués de Valdecilla-IDIVAL, Santander, Spain; Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), Spain
| | - Isabel González-Aramburu
- Neurology Service, University Hospital Marqués de Valdecilla-IDIVAL, Santander, Spain; Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), Spain
| | - Angela Gutiérrez-González
- Nuclear Medicine, Department, Molecular Imaging Group (IDIVAL), University Hospital Marqués de Valdecilla, Santander, Spain
| | - Javier Andrés-Pacheco
- Nuclear Medicine, Department, Molecular Imaging Group (IDIVAL), University Hospital Marqués de Valdecilla, Santander, Spain
| | | | - Alfonso Casado
- Ophthalmology Service, University Hospital Marqués de Valdecilla-IDIVAL, University of Cantabria (UC), Santander, Spain
| | - Jon Infante
- Neurology Service, University Hospital Marqués de Valdecilla-IDIVAL, Santander, Spain; Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), Spain; Universidad de Cantabria (UC), Spain.
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31
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Sangubotla R, Won S, Kim J. Boronic acid-modified fluorescent sensor using coffee biowaste-based carbon dots for the detection of dopamine. J Photochem Photobiol A Chem 2023. [DOI: 10.1016/j.jphotochem.2023.114542] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
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32
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Zhe Y, Wang J, Zhao Z, Ren G, Du J, Li K, Lin Y. Ascorbate oxidase-like nanozyme with high specificity for inhibition of cancer cell proliferation and online electrochemical DOPAC monitoring. Biosens Bioelectron 2022; 220:114893. [DOI: 10.1016/j.bios.2022.114893] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 11/04/2022] [Accepted: 11/05/2022] [Indexed: 11/11/2022]
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Buscho S, Palacios E, Xia F, Shi S, Li S, Luisi J, Kayed R, Motamedi M, Zhang W, Liu H. Longitudinal characterization of retinal vasculature alterations with optical coherence tomography angiography in a mouse model of tauopathy. Exp Eye Res 2022; 224:109240. [PMID: 36096190 PMCID: PMC10162407 DOI: 10.1016/j.exer.2022.109240] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Revised: 08/05/2022] [Accepted: 08/29/2022] [Indexed: 01/16/2023]
Abstract
Tauopathies are a family of neurodegenerative diseases which predominately afflict the rapidly growing aging population suffering from various brain disorders including Alzheimer's disease, frontotemporal dementia with parkinsonism-17 and Pick disease. As the only visually accessible region of the central nervous system, in recent years, the retina has attracted extensive attention for its potential as a target for visualizing and quantifying emerging biomarkers of neurodegenerative diseases. Our previous study has found that retinal vascular inflammation and leakage occur at the very early stage of tauopathic mouse model. Here, we aimed to non-invasively visualize age-dependent alterations of retinal vasculature assessing the potential for using changes in retinal vasculature as the biomarker for the early diagnosis of tauopathy. Optical coherence tomography angiography (OCTA), a non-invasive depth-resolved high-resolution imaging technique was used to visualize and quantify tauopathy-induced alterations of retinal vasculature in P301S transgenic mice overexpressing the P301S mutant form of human tau and age-matched wild type littermate mice at 3, 6 and 10 months of age. We observed significant alterations of vascular features in the intermediate capillary plexus (ICP) and deep capillary plexus (DCP) but not in the superficial vascular complex (SVC) of P301S mice at early stages of tauopathy. With aging, alterations of vascular features in P301S mice became more prominent in all three vascular plexuses. Staining of retinal vasculature in flatmounts and trypsin digests of P301S mice at 10 months of age revealed decreased vessel density and increased acellular capillary formation, indicating that vascular degeneration also occurs during tauopathy. Overall, our results demonstrate that the changes in retinal vascular features accelerate during the progression of tauopathy. Vessels in the ICP and DCP may be more susceptible to tauopathy than vessels in the SVC. Since changes in retinal vasculature often precede tau pathology in the brain, non-invasive identification of retinal vascular alterations with OCTA may be a useful biomarker for the early diagnosis of tauopathy and monitoring its progression.
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Affiliation(s)
- Seth Buscho
- Department of Ophthalmology & Visual Sciences, University of Texas Medical Branch, Galveston, TX, USA
| | - Erick Palacios
- Department of Ophthalmology & Visual Sciences, University of Texas Medical Branch, Galveston, TX, USA
| | - Fan Xia
- Department of Ophthalmology & Visual Sciences, University of Texas Medical Branch, Galveston, TX, USA
| | - Shuizhen Shi
- Department of Ophthalmology & Visual Sciences, University of Texas Medical Branch, Galveston, TX, USA
| | - Shengguo Li
- Department of Ophthalmology & Visual Sciences, University of Texas Medical Branch, Galveston, TX, USA
| | - Jonathan Luisi
- Department of Ophthalmology & Visual Sciences, University of Texas Medical Branch, Galveston, TX, USA; Department of Pharmacology and Toxicology, University of Texas Medical Branch, Galveston, TX, USA
| | - Rakez Kayed
- Department of Neurology, University of Texas Medical Branch, Galveston, TX, USA
| | - Massoud Motamedi
- Department of Ophthalmology & Visual Sciences, University of Texas Medical Branch, Galveston, TX, USA
| | - Wenbo Zhang
- Department of Ophthalmology & Visual Sciences, University of Texas Medical Branch, Galveston, TX, USA; Departments of Neuroscience, Cell Biology & Anatomy, University of Texas Medical Branch, Galveston, TX, USA; Institute for Human Infections and Immunity, University of Texas Medical Branch, Galveston, TX, USA.
| | - Hua Liu
- Department of Ophthalmology & Visual Sciences, University of Texas Medical Branch, Galveston, TX, USA.
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Gan J, Chen Z, Shi Z, Li X, Liu S, Liu Y, Zhu H, Shen L, Zhang G, You Y, Guo Q, Zhang N, Lv Y, Gang B, Yuan J, Ji Y. Temporal Variation in Disease Onset and Clinical Features of Lewy Body Disease in China. J Alzheimers Dis 2022; 90:1263-1275. [DOI: 10.3233/jad-220657] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background: Lewy body dementia is the second most common neurodegenerative dementia, but data concerning the onset age and clinical features in the prodromal stage remain limited in China. Objective: To investigate the associations between onset age and clinical manifestations of cognitive impairment with Lewy bodies in a large-sample cohort. Methods: We included 74 patients with mild cognitive impairment with Lewy bodies (MCI-LB), 533 patients with dementia with Lewy bodies (DLB), 118 patients with Parkinson’s disease with MCI (PD-MCI), and 313 patients with Parkinson’s disease dementia (PDD) in this multicenter cohort from 22 memory clinics of China from 1 January 2018 to 31 March 2022. The onset age, clinical manifestations, and neuropsychological assessments were recorded and analyzed after reviewing the medical records. Results: The average onset age of memory loss was 68.28 (±7.00) years, and parkinsonism happened 2.00 (±1.24) years later for patients with MCI-LB. The average onset age of parkinsonism was 60.56 (±8.96) years, and the memory loss happened 3.49 (±3.02) years later for patients with PD-MCI. Rapid eye movement sleep behavior disorder and visual hallucinations were frequently reported in MCI-LB, DLB, and PDD, while visual hallucinations were least frequently reported in PD-MCI. Lower scores of MMSE and depression, and higher scores of activities of daily living and delusions, were independently associated with older onset age in DLB. Conclusion: The onset of PD-MCI precedes MCI-LB, and memory loss occurs 3 years after parkinsonism. The onset age is associated with cognition and neuropsychiatric symptoms in process.
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Affiliation(s)
- Jinghuan Gan
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China National Clinical Research Centerfor Neurological Diseases, Beijing, China
| | - Zhichao Chen
- Department of Neurology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Zhihong Shi
- Tianjin Key Laboratory of Cerebrovascular and of Neurodegenerative Diseases, Tianjin Dementia Institute, Departmentof Neurology, Tianjin Huanhu Hospital, Tianjin, China
| | - Xudong Li
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China National Clinical Research Centerfor Neurological Diseases, Beijing, China
| | - Shuai Liu
- Tianjin Key Laboratory of Cerebrovascular and of Neurodegenerative Diseases, Tianjin Dementia Institute, Departmentof Neurology, Tianjin Huanhu Hospital, Tianjin, China
| | - Yiming Liu
- Department of Neurology, Qilu Hospital, ShandongUniversity, Shandong, China
| | - Hongcan Zhu
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Lu Shen
- Department of Neurology, Xiangya Hospital, Central South University, Hunan, China
| | - Guili Zhang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China National Clinical Research Centerfor Neurological Diseases, Beijing, China
| | - Yong You
- Department of Neurology, Second Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Qihao Guo
- Department of Gerontology, Shanghai Jiao TongUniversity Affiliated Sixth People’s Hospital, Shanghai, China
| | - Nan Zhang
- Department of Neurology,Tianjin Medical University General Hospital, Tianjin, China
| | - Yang Lv
- Department of Geriatrics, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Baozhi Gang
- Department of Neurology, The First AffiliatedHospital of Harbin Medical University, Harbin, China
| | - Junliang Yuan
- Department of Neurology, Peking University Sixth Hospital, Beijing, China
| | - Yong Ji
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China National Clinical Research Centerfor Neurological Diseases, Beijing, China
- Tianjin Key Laboratory of Cerebrovascular and of Neurodegenerative Diseases, Tianjin Dementia Institute, Departmentof Neurology, Tianjin Huanhu Hospital, Tianjin, China
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Fan HX, Sheng S, Zhang F. New hope for Parkinson's disease treatment: Targeting gut microbiota. CNS Neurosci Ther 2022; 28:1675-1688. [PMID: 35822696 PMCID: PMC9532916 DOI: 10.1111/cns.13916] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 06/21/2022] [Accepted: 06/25/2022] [Indexed: 12/14/2022] Open
Abstract
There might be more than 10 million confirmed cases of Parkinson's disease (PD) worldwide by 2040. However, the pathogenesis of PD is still unclear. Host health is closely related to gut microbiota, which are affected by factors such as age, diet, and exercise. Recent studies have found that gut microbiota may play key roles in the progression of a wide range of diseases, including PD. Changes in the abundance of gut bacteria, such as Helicobacter pylori, Enterococcus faecalis, and Desulfovibrio, might be involved in PD pathogenesis or interfere with PD therapy. Gut microbiota and the distal brain achieve action on each other through a gut‐brain axis composed of the nervous system, endocrine system, and immune system. Here, this review focused on the current understanding of the connection between Parkinson's disease and gut microbiota, to provide potential therapeutic targets for PD.
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Affiliation(s)
- Hong-Xia Fan
- Laboratory Animal Center and Key Laboratory of Basic Pharmacology of Ministry of Education and Joint International Research Laboratory of Ethnomedicine of Ministry of Education and Key Laboratory of Basic Pharmacology of Guizhou Province, Zunyi Medical University, Zunyi, Guizhou, China
| | - Shuo Sheng
- Laboratory Animal Center and Key Laboratory of Basic Pharmacology of Ministry of Education and Joint International Research Laboratory of Ethnomedicine of Ministry of Education and Key Laboratory of Basic Pharmacology of Guizhou Province, Zunyi Medical University, Zunyi, Guizhou, China
| | - Feng Zhang
- Laboratory Animal Center and Key Laboratory of Basic Pharmacology of Ministry of Education and Joint International Research Laboratory of Ethnomedicine of Ministry of Education and Key Laboratory of Basic Pharmacology of Guizhou Province, Zunyi Medical University, Zunyi, Guizhou, China
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36
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Silverstein SM, Choi JJ, Green KM, Bowles-Johnson KE, Ramchandran RS. Schizophrenia in Translation: Why the Eye? Schizophr Bull 2022; 48:728-737. [PMID: 35640030 PMCID: PMC9212100 DOI: 10.1093/schbul/sbac050] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
Schizophrenia is increasingly recognized as a systemic disease, characterized by dysregulation in multiple physiological systems (eg, neural, cardiovascular, endocrine). Many of these changes are observed as early as the first psychotic episode, and in people at high risk for the disorder. Expanding the search for biomarkers of schizophrenia beyond genes, blood, and brain may allow for inexpensive, noninvasive, and objective markers of diagnosis, phenotype, treatment response, and prognosis. Several anatomic and physiologic aspects of the eye have shown promise as biomarkers of brain health in a range of neurological disorders, and of heart, kidney, endocrine, and other impairments in other medical conditions. In schizophrenia, thinning and volume loss in retinal neural layers have been observed, and are associated with illness progression, brain volume loss, and cognitive impairment. Retinal microvascular changes have also been observed. Abnormal pupil responses and corneal nerve disintegration are related to aspects of brain function and structure in schizophrenia. In addition, studying the eye can inform about emerging cardiovascular, neuroinflammatory, and metabolic diseases in people with early psychosis, and about the causes of several of the visual changes observed in the disorder. Application of the methods of oculomics, or eye-based biomarkers of non-ophthalmological pathology, to the treatment and study of schizophrenia has the potential to provide tools for patient monitoring and data-driven prediction, as well as for clarifying pathophysiology and course of illness. Given their demonstrated utility in neuropsychiatry, we recommend greater adoption of these tools for schizophrenia research and patient care.
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Affiliation(s)
- Steven M Silverstein
- To whom correspondence should be addressed; Department of Psychiatry, University of Rochester Medical Center, Rochester, NY 14642, USA; tel: +1 585-275-6742, e-mail:
| | - Joy J Choi
- Department of Psychiatry, University of Rochester Medical Center, Rochester, NY, USA
| | - Kyle M Green
- Department of Ophthalmology, University of Rochester Medical Center, Rochester, NY, USA
| | | | - Rajeev S Ramchandran
- Department of Ophthalmology, University of Rochester Medical Center, Rochester, NY, USA,Department of Public Health Sciences, University of Rochester Medical Center, Rochester, NY, USA
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