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Mitchell E, Mattjie C, Bestwick JP, Barros RC, Schuh AF, Simonet C, Noyce AJ. Hyposmia in Parkinson's disease; exploring selective odour loss. NPJ Parkinsons Dis 2025; 11:67. [PMID: 40185787 PMCID: PMC11971265 DOI: 10.1038/s41531-025-00922-3] [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: 09/21/2024] [Accepted: 03/20/2025] [Indexed: 04/07/2025] Open
Abstract
Smell loss is a frequent and early manifestation of Parkinson's disease (PD), serving as a sensitive - albeit nonspecific - clinical biomarker1. The notion that PD causes odour-selective hyposmia has been debated for three decades. Previous studies have used healthy controls as the comparator; this is problematic given the majority presumably display normal olfactory function. Using University of Pennsylvania Smell Identification Test data from the Parkinson's Progression Markers Initiative, we trained eight machine learning models to distinguish 'PD hyposmia' (n = 155) from 'non-PD hyposmia' (n = 155). The best-performing models were evaluated on an independent validation cohort. While specific responses (e.g. mistaking pizza for bubble gum) were impactful across models, at best only 63% of PD cases were correctly identified. Given we used a balanced data set, 50% accuracy would be achieved by random guessing. This suggests that PD-related hyposmia does not exhibit a unique pattern of odour selectivity distinct from general hyposmia.
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Affiliation(s)
- Eleanor Mitchell
- Centre for Preventive Neurology, Wolfson Institute of Population Health, Faculty of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London, UK
| | - Christian Mattjie
- Centre for Preventive Neurology, Wolfson Institute of Population Health, Faculty of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London, UK
- Machine Learning Theory and Applications Lab, School of Technology, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - Jonathan P Bestwick
- Centre for Preventive Neurology, Wolfson Institute of Population Health, Faculty of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London, UK
| | - Rodrigo C Barros
- Machine Learning Theory and Applications Lab, School of Technology, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - Artur F Schuh
- Department of Pharmacology, Universidade Federal do Rio Grande do Sul, Rio Grande do Sul, Brazil
- Neurology Department, Hospital de Clínicas de Porto Alegre, Rio Grande do Sul, Brazil
| | - Cristina Simonet
- Centre for Preventive Neurology, Wolfson Institute of Population Health, Faculty of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London, UK
| | - Alastair J Noyce
- Centre for Preventive Neurology, Wolfson Institute of Population Health, Faculty of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London, UK.
- Department of Clinical & Movement Neurosciences, UCL Institute of Neurology, London, UK.
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Mazzotta GM, Conte C. Alpha Synuclein Toxicity and Non-Motor Parkinson's. Cells 2024; 13:1265. [PMID: 39120295 PMCID: PMC11311369 DOI: 10.3390/cells13151265] [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: 06/13/2024] [Revised: 07/12/2024] [Accepted: 07/24/2024] [Indexed: 08/10/2024] Open
Abstract
Parkinson's disease (PD) is a common multisystem neurodegenerative disorder affecting 1% of the population over the age of 60 years. The main neuropathological features of PD are the loss of dopaminergic neurons in the substantia nigra pars compacta (SNpc) and the presence of alpha synuclein (αSyn)-rich Lewy bodies both manifesting with classical motor signs. αSyn has emerged as a key protein in PD pathology as it can spread through synaptic networks to reach several anatomical regions of the body contributing to the appearance of non-motor symptoms (NMS) considered prevalent among individuals prior to PD diagnosis and persisting throughout the patient's life. NMS mainly includes loss of taste and smell, constipation, psychiatric disorders, dementia, impaired rapid eye movement (REM) sleep, urogenital dysfunction, and cardiovascular impairment. This review summarizes the more recent findings on the impact of αSyn deposits on several prodromal NMS and emphasizes the importance of early detection of αSyn toxic species in biofluids and peripheral biopsies as prospective biomarkers in PD.
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Affiliation(s)
| | - Carmela Conte
- Department of Pharmaceutical Sciences, University of Perugia, 06126 Perugia, Italy
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Iannucci V, Bruscolini A, Iannella G, Visioli G, Alisi L, Salducci M, Greco A, Lambiase A. Olfactory Dysfunction and Glaucoma. Biomedicines 2024; 12:1002. [PMID: 38790964 PMCID: PMC11117544 DOI: 10.3390/biomedicines12051002] [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: 03/28/2024] [Revised: 04/27/2024] [Accepted: 04/29/2024] [Indexed: 05/26/2024] Open
Abstract
BACKGROUND Olfactory dysfunction is a well-known phenomenon in neurological diseases with anosmia and hyposmia serving as clinical or preclinical indicators of Alzheimer's disease, Parkinson's disease, and other neurodegenerative disorders. Since glaucoma is a neurodegenerative disease of the visual system, it may also entail alterations in olfactory function, warranting investigation into potential sensory interconnections. METHODS A review of the current literature of the last 15 years (from 1 April 2008 to 1 April 2023) was conducted by two different authors searching for topics related to olfaction and glaucoma. RESULTS three papers met the selection criteria. According to these findings, patients with POAG appear to have worse olfaction than healthy subjects. Furthermore, certain predisposing conditions to glaucoma, such as pseudoexfoliation syndrome and primary vascular dysregulation, could possibly induce olfactory changes that can be measured with the Sniffin Stick test. CONCLUSIONS the scientific literature on this topic is very limited, and the pathogenesis of olfactory changes in glaucoma is not clear. However, if the results of these studies are confirmed by further research, olfactory testing may be a non-invasive tool to assist clinicians in the early diagnosis of glaucoma.
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Affiliation(s)
| | | | | | | | | | | | | | - Alessandro Lambiase
- Department of Sense Organs, Sapienza University of Rome, Viale del Policlinico 155, 00161 Rome, Italy; (V.I.); (A.B.); (G.I.); (G.V.); (L.A.); (M.S.); (A.G.)
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Dang THT, Tran TN, Xing F, Ha ULN, Vo KCN, Nguyen TV, Nguyen KV, Le HT, Truong D. Diagnostic value of vietnamese smell identification test in Parkinson's disease. J Neurol Sci 2024; 459:122958. [PMID: 38522243 DOI: 10.1016/j.jns.2024.122958] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Revised: 03/04/2024] [Accepted: 03/10/2024] [Indexed: 03/26/2024]
Abstract
INTRODUCTION The Vietnamese Smell Identification Test (VSIT) has been validated in determining olfactory dysfunction in the Vietnamese population; however, its value in diagnosing Parkinson's disease (PD) has not been established. METHODS This case-control study was conducted at University Medical Center HCMC, Ho Chi Minh City, Vietnam. The study sample included non-demented PD patients and healthy controls (HC) who were gender- and age-matched. All participants were evaluated for odor identification ability using the VSIT and the Brief Smell Identification Test (BSIT). RESULTS A total of 218 HCs and 218 PD patients participated in the study. The median VSIT and BSIT scores were significantly different between PD and HC groups (VSIT, 5 (3) vs. 9 (2), P < 0.0001; BSIT, 6 (3) vs 8 (2), P < 0.0001). Using the cut-off of <8 for correct answers out of 12 odorants, the VSIT had higher sensitivity (84.4%) and specificity (86.2%) than those of the BSIT (sensitivity of 81.7% and specificity of 69.3%) for the diagnosis of PD. The area under the curve (AUC) value was greater for the VSIT than for the BSIT (0.909 vs 0.818). The smell identification scores were not significantly correlated with disease duration, disease severity, or LEDD (all p > 0.05). CONCLUSION The VSIT can be a valuable ancillary tool for supporting the diagnosis of PD in Vietnam. Olfactory dysfunction in PD was unrelated to the disease duration and severity. The VSIT can be applied to improve the accuracy of clinical PD diagnosis.
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Affiliation(s)
- Thuong Huyen Thi Dang
- Movement Disorder Unit, Neurology Department, University Medical Center HCMC, University of Medicine and Pharmacy at Ho Chi Minh City, Vietnam.
| | - Tai Ngoc Tran
- Movement Disorder Unit, Neurology Department, University Medical Center HCMC, University of Medicine and Pharmacy at Ho Chi Minh City, Vietnam.
| | - Frank Xing
- The Truong Neurosciences Institute, Parkinson and Movement Disorder Institute, Orange Coast Memorial Medical Center, Fountain Valley, CA 92708, USA
| | - Uyen Le Ngoc Ha
- Movement Disorder Unit, Neurology Department, University Medical Center HCMC, University of Medicine and Pharmacy at Ho Chi Minh City, Vietnam.
| | - Khang Chung Ngoc Vo
- Movement Disorder Unit, Neurology Department, University Medical Center HCMC, University of Medicine and Pharmacy at Ho Chi Minh City, Vietnam.
| | - Thanh Vinh Nguyen
- Movement Disorder Unit, Neurology Department, University Medical Center HCMC, University of Medicine and Pharmacy at Ho Chi Minh City, Vietnam.
| | - Khang Vinh Nguyen
- Movement Disorder Unit, Neurology Department, University Medical Center HCMC, University of Medicine and Pharmacy at Ho Chi Minh City, Vietnam.
| | - Hien Thi Le
- Movement Disorder Unit, Neurology Department, University Medical Center HCMC, University of Medicine and Pharmacy at Ho Chi Minh City, Vietnam.
| | - Daniel Truong
- The Truong Neurosciences Institute, Parkinson and Movement Disorder Institute, Orange Coast Memorial Medical Center, Fountain Valley, CA 92708, USA; Department of Psychiatry and Neuroscience, University of California Riverside, Riverside, CA, USA.
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Amini E, Rohani M, Habibi SAH, Azad Z, Yazdi N, Cubo E, Hummel T, Jalessi M. Underestimated olfactory domains in Huntington's disease: odour discrimination and threshold. J Laryngol Otol 2024; 138:315-320. [PMID: 37470108 DOI: 10.1017/s002221512300124x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/21/2023]
Abstract
BACKGROUND Olfaction has recently found clinical value in prediction, discrimination and prognosis of some neurodegenerative disorders. However, data originating from standard tests on olfactory dysfunction in Huntington's disease are limited to odour identification, which is only one domain of olfactory perceptual space. METHOD Twenty-five patients and 25 age- and gender-matched controls were evaluated by the Sniffin' Sticks test in three domains of odour threshold, odour discrimination, odour identification and the sum score of them. Patients' motor function was assessed based on the Unified Huntington's Disease Rating Scale. RESULTS Compared with controls, patients' scores of all olfactory domains and their sum were significantly lower. Besides, our patients' odour threshold and odour discrimination impairments were more frequently impaired than odour identification impairment (86 per cent and 81 per cent vs 34 per cent, respectively). CONCLUSION Olfactory impairment is a common finding in patients with Huntington's disease; it is not limited to odour identification but is more pronounced in odour discrimination and odour threshold.
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Affiliation(s)
- E Amini
- ENT and Head and Neck Research Center, The Five Senses Health Institute, Rasoul Akram Hospital, Iran University of Medical Sciences, Tehran, Iran
- Department of Neurology, Rasoul Akram Hospital, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - M Rohani
- Department of Neurology, Rasoul Akram Hospital, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
- Skull Base Research Center, The Five Senses Health Institute, Rasoul Akram Hospital, Iran University of Medical Sciences, Tehran, Iran
| | - S A H Habibi
- Department of Neurology, Rasoul Akram Hospital, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Z Azad
- Skull Base Research Center, The Five Senses Health Institute, Rasoul Akram Hospital, Iran University of Medical Sciences, Tehran, Iran
| | - N Yazdi
- Department of Neurology, Rasoul Akram Hospital, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - E Cubo
- Neurology Department, Hospital Universitario Burgos, University of Burgos, Burgos, Spain
| | - T Hummel
- Smell and Taste Clinic, Department of Otorhinolaryngology, TU Dresden, Dresden, Germany
| | - M Jalessi
- Skull Base Research Center, The Five Senses Health Institute, Rasoul Akram Hospital, Iran University of Medical Sciences, Tehran, Iran
- Department of Otorhinolaryngology, Head and Neck Surgery, Rasoul Akram Hospital, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
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Bian J, Wang X, Hao W, Zhang G, Wang Y. The differential diagnosis value of radiomics-based machine learning in Parkinson's disease: a systematic review and meta-analysis. Front Aging Neurosci 2023; 15:1199826. [PMID: 37484694 PMCID: PMC10357514 DOI: 10.3389/fnagi.2023.1199826] [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: 04/04/2023] [Accepted: 06/21/2023] [Indexed: 07/25/2023] Open
Abstract
Background In recent years, radiomics has been increasingly utilized for the differential diagnosis of Parkinson's disease (PD). However, the application of radiomics in PD diagnosis still lacks sufficient evidence-based support. To address this gap, we carried out a systematic review and meta-analysis to evaluate the diagnostic value of radiomics-based machine learning (ML) for PD. Methods We systematically searched Embase, Cochrane, PubMed, and Web of Science databases as of November 14, 2022. The radiomics quality assessment scale (RQS) was used to evaluate the quality of the included studies. The outcome measures were the c-index, which reflects the overall accuracy of the model, as well as sensitivity and specificity. During this meta-analysis, we discussed the differential diagnostic value of radiomics-based ML for Parkinson's disease and various atypical parkinsonism syndromes (APS). Results Twenty-eight articles with a total of 6,057 participants were included. The mean RQS score for all included articles was 10.64, with a relative score of 29.56%. The pooled c-index, sensitivity, and specificity of radiomics for predicting PD were 0.862 (95% CI: 0.833-0.891), 0.91 (95% CI: 0.86-0.94), and 0.93 (95% CI: 0.87-0.96) in the training set, and 0.871 (95% CI: 0.853-0.890), 0.86 (95% CI: 0.81-0.89), and 0.87 (95% CI: 0.83-0.91) in the validation set, respectively. Additionally, the pooled c-index, sensitivity, and specificity of radiomics for differentiating PD from APS were 0.866 (95% CI: 0.843-0.889), 0.86 (95% CI: 0.84-0.88), and 0.80 (95% CI: 0.75-0.84) in the training set, and 0.879 (95% CI: 0.854-0.903), 0.87 (95% CI: 0.85-0.89), and 0.82 (95% CI: 0.77-0.86) in the validation set, respectively. Conclusion Radiomics-based ML can serve as a potential tool for PD diagnosis. Moreover, it has an excellent performance in distinguishing Parkinson's disease from APS. The support vector machine (SVM) model exhibits excellent robustness when the number of samples is relatively abundant. However, due to the diverse implementation process of radiomics, it is expected that more large-scale, multi-class image data can be included to develop radiomics intelligent tools with broader applicability, promoting the application and development of radiomics in the diagnosis and prediction of Parkinson's disease and related fields. Systematic review registration https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=383197, identifier ID: CRD42022383197.
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Affiliation(s)
- Jiaxiang Bian
- School of Clinical Medicine, Weifang Medical University, Weifang, China
| | - Xiaoyang Wang
- School of Clinical Medicine, Weifang Medical University, Weifang, China
| | - Wei Hao
- School of Clinical Medicine, Weifang Medical University, Weifang, China
| | - Guangjian Zhang
- Department of Neurosurgery, Weifang People’s Hospital, Weifang, China
| | - Yuting Wang
- Department of Neurosurgery, Weifang People’s Hospital, Weifang, China
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Miyamoto T, Miyamoto M. Odor identification predicts the transition of patients with isolated RBD: A retrospective study. Ann Clin Transl Neurol 2022; 9:1177-1185. [PMID: 35767550 PMCID: PMC9380141 DOI: 10.1002/acn3.51615] [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] [Subscribe] [Scholar Register] [Received: 02/20/2022] [Revised: 06/03/2022] [Accepted: 06/07/2022] [Indexed: 11/14/2022] Open
Abstract
INTRODUCTION To determine if the severity of olfactory dysfunction in isolated REM sleep behavior disorder (IRBD) predicts conversion to Parkinson's disease (PD) or dementia with Lewy bodies (DLB). METHODS Olfaction was tested using the Japanese version of the University of Pennsylvania Smell Identification Test (UPSIT-J) in 155 consecutive patients with polysomnography-confirmed IRBD and 34 healthy controls. IRBD patients were followed up for 5.8 ± 3.2 (range 0.2-11) years. Thirty-eight patients underwent repeat UPSIT-J evaluation at 2.7 ± 1.3 years after the baseline test. RESULTS UPSIT-J score was lower in IRBD patients than in age- and sex-matched controls. The receiver operating characteristic curve analysis showed that the optimal cutoff score of 22.5 in UPSIT-J discriminated between IRBD patients and controls with a sensitivity of 94.3% and specificity of 81.8%. Anosmia (UPSIT-J score < 19) was present in 54.2% of IRBD patients. In total, 42 patients developed a neurodegenerative disease, of whom 17 had PD, 22 DLB, and 3 MSA. Kaplan-Meier analysis showed that the short-term risk of Lewy body disease (LBD) was higher in patients with anosmia than in those without anosmia. At baseline, the UPSIT-J score was similar between patients who developed PD and DLB (p = 0.136). All three IRBD patients (100%) who developed MSA did not have anosmia. CONCLUSIONS In IRBD patients, anosmia predicts a higher short-term risk of transition to LBD but cannot distinguish between PD and DLB. At baseline, preserved odor identification may occur in latent MSA. Future IRBD neuroprotective trials should evaluate anosmia as a marker of prodromal LBD.
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Affiliation(s)
- Tomoyuki Miyamoto
- Department of NeurologyDokkyo Medical University Saitama Medical CenterJapan
| | - Masayuki Miyamoto
- Department of NeurologyCenter of Sleep Medicine, Dokkyo Medical UniversityJapan
- Dokkyo Medical UniversitySchool of NursingJapan
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