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Bovenzi R, Conti M, De Franco V, Pierantozzi M, Schirinzi T, Cerroni R, Stefani A, Mercuri NB, Liguori C. Sex differences in Parkinson's disease-related non motor symptoms: a focus on sleep problems. Acta Neurol Belg 2024:10.1007/s13760-024-02535-8. [PMID: 38573491 DOI: 10.1007/s13760-024-02535-8] [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: 11/20/2023] [Accepted: 03/13/2024] [Indexed: 04/05/2024]
Abstract
Parkinson's disease (PD) symptomatology differs between females and males, yet the contribution of sex on sleep problems needs further analysis. Here, we aimed to investigate sex-specific patterns in the relationship between sleep problems, assessed using the Parkinson's disease sleep scale (PDSS-2), non motor symptoms (NMS), measured by the NMS scale (NMSS), and health-related quality of life (HR-QoL), evaluated by the Parkinson's disease questionnaire (PDQ-39), in a large cohort of PD patients. One-hundred-fifty-four PD patients were included in the study. Female PD patients (n = 62) exhibited a higher prevalence of sleep problems than males (n = 92), with nocturnal motor-related sleep issues being the most frequent. Sleep disturbances differently correlated with a range of NMS between the two sexes. In females, sleep problems mostly correlated with pain; on the other hand, sleep disturbances were linked to a frailer phenotype characterized by global dysautonomia, perception disturbances, and impaired cognitive function in males. Whether female PD patients experienced a lower HR-QoL than males, sleep disturbances were associated with a worse HR-QoL in both sexes. In conclusion, sleep problems in PD differently burden the two sexes, suggesting possible different etiopathogenesis, diagnostic investigations, and possibly tailored approaches.
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Affiliation(s)
- Roberta Bovenzi
- Department of Systems Medicine, University of Rome "Tor Vergata", Via Montpellier 1, 00133, Rome, Italy
| | - Matteo Conti
- Department of Systems Medicine, University of Rome "Tor Vergata", Via Montpellier 1, 00133, Rome, Italy
| | - Valentino De Franco
- Department of Systems Medicine, University of Rome "Tor Vergata", Via Montpellier 1, 00133, Rome, Italy
| | - Mariangela Pierantozzi
- Department of Systems Medicine, University of Rome "Tor Vergata", Via Montpellier 1, 00133, Rome, Italy
- Department of Systems Medicine, Parkinson's Disease Unit, University Hospital of Rome "Tor Vergata", Via Montpellier 1, 00133, Rome, Italy
| | - Tommaso Schirinzi
- Department of Systems Medicine, University of Rome "Tor Vergata", Via Montpellier 1, 00133, Rome, Italy
| | - Rocco Cerroni
- Department of Systems Medicine, Parkinson's Disease Unit, University Hospital of Rome "Tor Vergata", Via Montpellier 1, 00133, Rome, Italy
| | - Alessandro Stefani
- Department of Systems Medicine, University of Rome "Tor Vergata", Via Montpellier 1, 00133, Rome, Italy
- Department of Systems Medicine, Parkinson's Disease Unit, University Hospital of Rome "Tor Vergata", Via Montpellier 1, 00133, Rome, Italy
| | - Nicola Biagio Mercuri
- Department of Systems Medicine, University of Rome "Tor Vergata", Via Montpellier 1, 00133, Rome, Italy
| | - Claudio Liguori
- Department of Systems Medicine, University of Rome "Tor Vergata", Via Montpellier 1, 00133, Rome, Italy.
- Department of Systems Medicine, Parkinson's Disease Unit, University Hospital of Rome "Tor Vergata", Via Montpellier 1, 00133, Rome, Italy.
- Sleep Medicine Centre, University Hospital of Rome "Tor Vergata", Via Montpellier 1, 00133, Rome, Italy.
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2
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Bovenzi R, Pierantozzi M, Conti M, Carignani S, Fernandes M, Schirinzi T, Cerroni R, Mercuri NB, Stefani A, Liguori C. Parkinson's disease motor progression in relation to the timing of REM sleep behavior disorder presentation: an exploratory retrospective study. J Neural Transm (Vienna) 2024; 131:239-244. [PMID: 38227218 PMCID: PMC10874311 DOI: 10.1007/s00702-024-02739-5] [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: 09/13/2023] [Accepted: 01/03/2024] [Indexed: 01/17/2024]
Abstract
REM sleep behavior disorder (RBD) is a frequent non-motor symptom of Parkinson's disease (PD), and the timing of its presentation might have a role in the underlying neurodegenerative process. Here, we aimed to define the potential impact of probable RBD (pRBD) on PD motor progression.We conducted a longitudinal retrospective study on 66 PD patients followed up at the University Hospital of Rome Tor Vergata. Patients were divided into three groups: with post-motor pRBD (pRBDpost, n = 25), without pRBD (pRBDwo, n = 20), and with pre-motor pRBD (pRBDpre, n = 21). Hoehn and Yahr (H&Y) scores, Unified PD Rating Scale (UPDRS) motor scores, and levodopa equivalent daily dose were collected at two follow-up visits conducted in a 5-year interval (T0 and T1). pRBDpost patients had a greater rate of motor progression in terms of the H&Y scale compared to pRBDpre and pRBDwo patients, without the influence of anti-parkinsonian treatment.These preliminary findings suggest that the post-motor occurrence of pRBD can be associated with an acceleration in PD motor progression.
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Affiliation(s)
- Roberta Bovenzi
- Department of Systems Medicine, University of Rome "Tor Vergata", Via Montpellier 1, 00133, Rome, Italy
| | - Mariangela Pierantozzi
- Department of Systems Medicine, University of Rome "Tor Vergata", Via Montpellier 1, 00133, Rome, Italy
- Parkinson's Disease Unit, University Hospital of Rome "Tor Vergata", Via Montpellier 1, 00133, Rome, Italy
| | - Matteo Conti
- Department of Systems Medicine, University of Rome "Tor Vergata", Via Montpellier 1, 00133, Rome, Italy
| | - Silvia Carignani
- Department of Systems Medicine, University of Rome "Tor Vergata", Via Montpellier 1, 00133, Rome, Italy
| | - Mariana Fernandes
- Department of Systems Medicine, University of Rome "Tor Vergata", Via Montpellier 1, 00133, Rome, Italy
| | - Tommaso Schirinzi
- Department of Systems Medicine, University of Rome "Tor Vergata", Via Montpellier 1, 00133, Rome, Italy
- Parkinson's Disease Unit, University Hospital of Rome "Tor Vergata", Via Montpellier 1, 00133, Rome, Italy
| | - Rocco Cerroni
- Parkinson's Disease Unit, University Hospital of Rome "Tor Vergata", Via Montpellier 1, 00133, Rome, Italy
| | - Nicola Biagio Mercuri
- Department of Systems Medicine, University of Rome "Tor Vergata", Via Montpellier 1, 00133, Rome, Italy
| | - Alessandro Stefani
- Department of Systems Medicine, University of Rome "Tor Vergata", Via Montpellier 1, 00133, Rome, Italy
- Parkinson's Disease Unit, University Hospital of Rome "Tor Vergata", Via Montpellier 1, 00133, Rome, Italy
| | - Claudio Liguori
- Department of Systems Medicine, University of Rome "Tor Vergata", Via Montpellier 1, 00133, Rome, Italy.
- Parkinson's Disease Unit, University Hospital of Rome "Tor Vergata", Via Montpellier 1, 00133, Rome, Italy.
- Sleep Medicine Centre, University Hospital of Rome "Tor Vergata", Via Montpellier 1, 00133, Rome, Italy.
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3
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Mala C, Havlík F, Mana J, Nepožitek J, Dostálová S, Růžička E, Šonka K, Keller J, Jech R, Dušek P, Bezdicek O, Krupička R. Cortical and subcortical morphometric changes and their relation to cognitive impairment in isolated REM sleep behavior disorder. Neurol Sci 2024; 45:613-627. [PMID: 37670125 PMCID: PMC10791856 DOI: 10.1007/s10072-023-07040-z] [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: 05/12/2023] [Accepted: 08/24/2023] [Indexed: 09/07/2023]
Abstract
OBJECTIVE To date, very few studies have focused on structural changes and their association with cognitive performance in isolated REM sleep behaviour disorder (iRBD). Moreover, the results of these studies are inconclusive. This study aims to evaluate differences in the associations between brain morphology and cognitive tests in iRBD and healthy controls. METHODS Sixty-three patients with iRBD and thirty-six controls underwent MRI with a 3 T scanner. The cognitive performance was assessed by a comprehensive neuropsychological battery. Based on performance, the iRBD group was divided into two subgroups with (iRBD-MCI) and without mild cognitive impairment (iRBD-NC). The high-resolution T1-weighted images were analysed using an automated atlas segmentation tool, voxel-based (VBM) and deformation-based (DBM) morphometry to identify between-group differences and correlations with cognitive performance. RESULTS VBM, DBM and the comparison of ROI volumes yielded no significant differences between iRBD and controls. In the iRBD group, significant correlations in VBM were found between several cortical and subcortical structures primarily located in the temporal, parietal, occipital lobe, cerebellum, and basal ganglia and three cognitive tests assessing psychomotor speed and one memory test. Between-group analysis of cognition revealed a significant difference between iRBD-MCI and iRBD-NC in tests including a processing speed component. CONCLUSIONS iRBD shows deficits in several cognitive tests that correlate with morphological changes, the most prominent of which is in psychomotor speed and visual attention as measured by the TMT-A and associated with the volume of striatum, insula, cerebellum, temporal lobe, pallidum and amygdala.
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Affiliation(s)
- Christiane Mala
- Department of Biomedical Informatics, Faculty of Biomedical Engineering, Czech Technical University in Prague, Prague, Czech Republic
| | - Filip Havlík
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic.
| | - Josef Mana
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Jiří Nepožitek
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Simona Dostálová
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Evžen Růžička
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Karel Šonka
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Jiří Keller
- Department of Radiology, Na Homolce Hospital, Prague, Czech Republic
| | - Robert Jech
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Petr Dušek
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Ondrej Bezdicek
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Radim Krupička
- Department of Biomedical Informatics, Faculty of Biomedical Engineering, Czech Technical University in Prague, Prague, Czech Republic
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Mombelli S, Leitner C, D'Este G, Sforza M, Marelli S, Castelnuovo A, Zucconi M, Casoni F, Fantini ML, Novellino F, Salsone M, Ferini-Strambi L, Galbiati A. A data-driven approach to neuropsychological features in isolated REM behaviour disorder: A latent class analysis. J Neuropsychol 2023; 17:161-179. [PMID: 36192363 DOI: 10.1111/jnp.12292] [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: 05/31/2022] [Accepted: 06/28/2022] [Indexed: 11/30/2022]
Abstract
Recent evidence demonstrated that neuropsychological assessment may be considered a valid marker of neurodegeneration in idiopathic REM sleep behaviour disorder (iRBD). However, little is known about the possible neuropsychological heterogeneity within the iRBD population. This retrospective study aimed to identify and describe different neuropsychological phenotypes in iRBD patients by means of a data-driven approach using latent class analysis. A total of 289 iRBD patients underwent a neuropsychological assessment evaluating cognitive domains: global cognition, language, short- and long-term memory, executive functions and visuospatial abilities. The presence of mild cognitive impairment (MCI) was also assessed. Latent class analysis was carried out to identify iRBD subtypes according to neuropsychological scores. The most parsimonious model identified three latent classes. Groups were labelled as follows: Class 2 "severely impaired" (n = 83/289): mean pathological scores in different tests, a high percentage of MCI multiple-domain and impairment in all neuropsychological domains. Class 1 "moderately impaired" (n = 44/289): mean neuropsychological score within the normal value, a high percentage of MCI (high risk to phenoconversion) and great impairment in the visuospatial domain. Class 3 "slightly impaired" (n = 162/289): no deficit worthy of attention except for short- and long-term memory. Our results suggest three different clinical phenotypes within the iRBD population. These findings may be relevant in the future for predicting the clinical trajectories of phenoconversion in iRBD.
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Affiliation(s)
- Samantha Mombelli
- Department of Clinical Neurosciences, Neurology - Sleep Disorders Center, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Caterina Leitner
- Department of Clinical Neurosciences, Neurology - Sleep Disorders Center, IRCCS San Raffaele Scientific Institute, Milan, Italy.,"Vita-Salute" San Raffaele University, Milan, Italy
| | - Giada D'Este
- Department of Clinical Neurosciences, Neurology - Sleep Disorders Center, IRCCS San Raffaele Scientific Institute, Milan, Italy.,"Vita-Salute" San Raffaele University, Milan, Italy
| | - Marco Sforza
- Department of Clinical Neurosciences, Neurology - Sleep Disorders Center, IRCCS San Raffaele Scientific Institute, Milan, Italy.,"Vita-Salute" San Raffaele University, Milan, Italy
| | - Sara Marelli
- Department of Clinical Neurosciences, Neurology - Sleep Disorders Center, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Alessandra Castelnuovo
- Department of Clinical Neurosciences, Neurology - Sleep Disorders Center, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Marco Zucconi
- Department of Clinical Neurosciences, Neurology - Sleep Disorders Center, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Francesca Casoni
- Department of Clinical Neurosciences, Neurology - Sleep Disorders Center, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Maria Livia Fantini
- Sleep and EEG, Neurophysiology Unit, Clermont-Ferrand University Hospital and UMR 6602 - Université Clermont Auvergne, CNRS, Institut Pascal, Clermont-Ferrand, France
| | - Fabiana Novellino
- Institute of Molecular Bioimaging and Physiology (IBFM), National Research Council, Catanzaro, Italy.,Department of Pharmacology and Toxicology, School of Medicine, Universidad Complutense de Madrid (UCM), Madrid, Spain.,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Investigación Neuroquímica (IUINQ-UCM), Madrid, Spain.,Instituto de Investigación Sanitaria Hospital 12 de Octubre (Imas12), Madrid, Spain
| | - Maria Salsone
- Department of Clinical Neurosciences, Neurology - Sleep Disorders Center, IRCCS San Raffaele Scientific Institute, Milan, Italy.,"Vita-Salute" San Raffaele University, Milan, Italy.,Institute of Molecular Bioimaging and Physiology (IBFM), National Research Council, Catanzaro, Italy
| | - Luigi Ferini-Strambi
- Department of Clinical Neurosciences, Neurology - Sleep Disorders Center, IRCCS San Raffaele Scientific Institute, Milan, Italy.,"Vita-Salute" San Raffaele University, Milan, Italy
| | - Andrea Galbiati
- Department of Clinical Neurosciences, Neurology - Sleep Disorders Center, IRCCS San Raffaele Scientific Institute, Milan, Italy.,"Vita-Salute" San Raffaele University, Milan, Italy
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5
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Pavelka L, Rauschenberger A, Landoulsi Z, Pachchek S, Marques T, Gomes CP, Glaab E, May P, Krüger R. Body-First Subtype of Parkinson's Disease with Probable REM-Sleep Behavior Disorder Is Associated with Non-Motor Dominant Phenotype. JOURNAL OF PARKINSON'S DISEASE 2022; 12:2561-2573. [PMID: 36245388 PMCID: PMC9837682 DOI: 10.3233/jpd-223511] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
BACKGROUND The hypothesis of body-first vs. brain-first subtype of PD has been proposed with REM-Sleep behavior disorder (RBD) defining the former. The body-first PD presumes an involvement of the brainstem in the pathogenic process with higher burden of autonomic dysfunction. OBJECTIVE To identify distinctive clinical subtypes of idiopathic Parkinson's disease (iPD) in line with the formerly proposed concept of body-first vs. brain-first subtypes in PD, we analyzed the presence of probable RBD (pRBD), sex, and the APOEɛ4 carrier status as potential sub-group stratifiers. METHODS A total of 400 iPD patients were included in the cross-sectional analysis from the baseline dataset with a completed RBD Screening Questionnaire (RBDSQ) for classifying as pRBD by using the cut-off RBDSQ≥6. Multiple regression models were applied to explore (i) the effect of pRBD on clinical outcomes adjusted for disease duration and age, (ii) the effect of sex on pRBD, and (iii) the association of APOEɛ4 and pRBD. RESULTS iPD-pRBD was significantly associated with autonomic dysfunction (SCOPA-AUT), level of depressive symptoms (BDI-I), MDS-UPDRS I, hallucinations, and constipation, whereas significantly negatively associated with quality of life (PDQ-39) and sleep (PDSS). No significant association between sex and pRBD or APOE ɛ4 and pRBD in iPD was found nor did we determine a significant effect of APOE ɛ4 on the PD phenotype. CONCLUSION We identified an RBD-specific PD endophenotype, characterized by predominant autonomic dysfunction, hallucinations, and depression, corroborating the concept of a distinctive body-first subtype of PD. We did not observe a significant association between APOE ɛ4 and pRBD suggesting both factors having an independent effect on cognitive decline in iPD.
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Affiliation(s)
- Lukas Pavelka
- Parkinson’s Research Clinic, Centre Hospitalier de Luxembourg (CHL), Luxembourg, Luxembourg,Transversal Translational Medicine, Luxembourg Institute of Health (LIH), Strassen, Luxembourg,Correspondence to: Lukas Pavelka, MD, Physician scientist, National Centre for Excellence in Research in Parkinson’s disease. Tel.: +352 621621578; E-mail: and Prof. Rejko Krüger, MD, Coordinator of Luxembourg National Centre for Excellence in Research in Parkinson’s disease. Tel.: +352 26 970 458; E-mail:
| | - Armin Rauschenberger
- Biomedical Data Science Group, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Zied Landoulsi
- Bioinformatics Core, Luxembourg Centre for Systems Biomedicine (LCSB), Esch-sur-Alzette, Luxembourg
| | - Sinthuja Pachchek
- Bioinformatics Core, Luxembourg Centre for Systems Biomedicine (LCSB), Esch-sur-Alzette, Luxembourg,Translational Neuroscience, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Taina Marques
- Translational Neuroscience, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Clarissa P.C. Gomes
- Translational Neuroscience, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Enrico Glaab
- Biomedical Data Science Group, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Patrick May
- Bioinformatics Core, Luxembourg Centre for Systems Biomedicine (LCSB), Esch-sur-Alzette, Luxembourg
| | - Rejko Krüger
- Parkinson’s Research Clinic, Centre Hospitalier de Luxembourg (CHL), Luxembourg, Luxembourg,Transversal Translational Medicine, Luxembourg Institute of Health (LIH), Strassen, Luxembourg,Translational Neuroscience, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg,Correspondence to: Lukas Pavelka, MD, Physician scientist, National Centre for Excellence in Research in Parkinson’s disease. Tel.: +352 621621578; E-mail: and Prof. Rejko Krüger, MD, Coordinator of Luxembourg National Centre for Excellence in Research in Parkinson’s disease. Tel.: +352 26 970 458; E-mail:
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6
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Vacca M, Assogna F, Pellicano C, Chiaravalloti A, Placidi F, Izzi F, Camedda R, Schillaci O, Spalletta G, Lombardo C, Mercuri NB, Liguori C. Neuropsychiatric, neuropsychological, and neuroimaging features in isolated REM sleep behavior disorder: The importance of MCI. Sleep Med 2022; 100:230-237. [PMID: 36116292 DOI: 10.1016/j.sleep.2022.08.018] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Revised: 07/23/2022] [Accepted: 08/25/2022] [Indexed: 01/12/2023]
Abstract
BACKGROUND Mild cognitive impairment (MCI) is frequently diagnosed in patients with isolated rapid eye movement (REM) sleep behavior disorder (iRBD), although the extent of MCI-associated neuropathology has not yet been quantified. The present study compared the differences in neuropsychiatric, neuropsychological, and neuroimaging markers of neurodegeneration in MCI-iRBD and iRBD patients with normal cognition. METHODS Sixty-one patients with iRBD were included in the study: 30 patients were included in the MCI subgroup (RBD-MCI) and 31 in the normal cognition subgroup (RBD-NC). Both groups underwent neuropsychiatric and neuropsychological assessments to evaluate psychopathological symptoms and neuropsychological functions. Brain [18F]FDG PET and 123I-FP-CIT-SPECT were performed to evaluate brain glucose metabolism and nigrostriatal dopaminergic function in convenient subgroups of patients, respectively. RESULTS Neuropsychological measures generally confirmed overall cognitive decline in patients with iRBD-MCI. Immediate long-term verbal memory and visuospatial functions, as well as attentional-executive impairment were evident in the MCI group compared to the NC group. Neuroimaging results indicated reduced brain glucose uptake in the bilateral posterior cingulate cortex and more evident nigrostriatal deafferentation in the RBD-MCI group. There were no differences in psychopathological symptoms between the two groups. CONCLUSIONS This study confirmed that iRBD patients with MCI had a more impaired cognitive status that those with NC. Moreover, the MCI subgroup presented reduced cerebral glucose consumption in brain areas critical for cognition, and a more severe deafferentation of the nigro-striatal regions, highlighting the importance of identifying iRBD patients with MCI for urgent neuroprotective trials.
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Affiliation(s)
| | | | | | - Agostino Chiaravalloti
- Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Italy; IRCCS Neuromed, Pozzilli, Italy
| | - Fabio Placidi
- Sleep Medicine Center, Neurology Unit, University Hospital of Rome "Tor Vergata", Italy; Department of Systems Medicine, University of Rome "Tor Vergata", Italy
| | - Francesca Izzi
- Sleep Medicine Center, Neurology Unit, University Hospital of Rome "Tor Vergata", Italy
| | - Riccardo Camedda
- Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Italy
| | - Orazio Schillaci
- Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Italy
| | | | | | - Nicola Biagio Mercuri
- IRCCS Santa Lucia Foundation, Rome, Italy; Sleep Medicine Center, Neurology Unit, University Hospital of Rome "Tor Vergata", Italy; Department of Systems Medicine, University of Rome "Tor Vergata", Italy
| | - Claudio Liguori
- Sleep Medicine Center, Neurology Unit, University Hospital of Rome "Tor Vergata", Italy; Department of Systems Medicine, University of Rome "Tor Vergata", Italy.
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7
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Peng W, Kobeissy F, Mondello S, Barsa C, Mechref Y. MS-based glycomics: An analytical tool to assess nervous system diseases. Front Neurosci 2022; 16:1000179. [PMID: 36408389 PMCID: PMC9671362 DOI: 10.3389/fnins.2022.1000179] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Accepted: 10/05/2022] [Indexed: 08/27/2023] Open
Abstract
Neurological diseases affect millions of peopleochemistryorldwide and are continuously increasing due to the globe's aging population. Such diseases affect the nervous system and are characterized by a progressive decline in brain function and progressive cognitive impairment, decreasing the quality of life for those with the disease as well as for their families and loved ones. The increased burden of nervous system diseases demands a deeper insight into the biomolecular mechanisms at work during disease development in order to improve clinical diagnosis and drug design. Recently, evidence has related glycosylation to nervous system diseases. Glycosylation is a vital post-translational modification that mediates many biological functions, and aberrant glycosylation has been associated with a variety of diseases. Thus, the investigation of glycosylation in neurological diseases could provide novel biomarkers and information for disease pathology. During the last decades, many techniques have been developed for facilitation of reliable and efficient glycomic analysis. Among these, mass spectrometry (MS) is considered the most powerful tool for glycan analysis due to its high resolution, high sensitivity, and the ability to acquire adequate structural information for glycan identification. Along with MS, a variety of approaches and strategies are employed to enhance the MS-based identification and quantitation of glycans in neurological samples. Here, we review the advanced glycomic tools used in nervous system disease studies, including separation techniques prior to MS, fragmentation techniques in MS, and corresponding strategies. The glycan markers in common clinical nervous system diseases discovered by utilizing such MS-based glycomic tools are also summarized and discussed.
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Affiliation(s)
- Wenjing Peng
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX, United States
| | - Firas Kobeissy
- Program for Neurotrauma, Neuroproteomics and Biomarkers Research, Department of Emergency Medicine, University of Florida, Gainesville, FL, United States
| | - Stefania Mondello
- Department of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina, Messina, Italy
| | - Chloe Barsa
- Program for Neurotrauma, Neuroproteomics and Biomarkers Research, Department of Emergency Medicine, University of Florida, Gainesville, FL, United States
| | - Yehia Mechref
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX, United States
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8
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Sumi Y, Masuda F, Kadotani H, Ozeki Y. The prevalence of depression in isolated/idiopathic rapid eye movement sleep behavior disorder: A systematic review and meta-analysis. Sleep Med Rev 2022; 65:101684. [DOI: 10.1016/j.smrv.2022.101684] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Revised: 07/29/2022] [Accepted: 07/29/2022] [Indexed: 11/28/2022]
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9
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Chen S, Wang SH, Bai YY, Zhang JW, Zhang HJ. Comparative Study on Topological Properties of the Whole-Brain Functional Connectome in Idiopathic Rapid Eye Movement Sleep Behavior Disorder and Parkinson’s Disease Without RBD. Front Aging Neurosci 2022; 14:820479. [PMID: 35478699 PMCID: PMC9036484 DOI: 10.3389/fnagi.2022.820479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Accepted: 03/07/2022] [Indexed: 11/18/2022] Open
Abstract
Purpose Idiopathic rapid eye movement Sleep Behavior Disorder (iRBD) is considered as a prodromal and most valuable warning symptom for Parkinson’s disease (PD). Although iRBD and PD without RBD (nRBD-PD) are both α-synucleinopathies, whether they share the same neurodegeneration process is not clear enough. In this study, the pattern and extent of neurodegeneration were investigated and compared between early-stage nRBD-PD and iRBD from the perspective of whole-brain functional network changes. Methods Twenty-one patients with iRBD, 23 patients with early-stage nRBD-PD, and 22 matched healthy controls (HCs) were enrolled. Functional networks were constructed using resting-state functional MRI (fMRI) data. Network topological properties were analyzed and compared among groups by graph theory approaches. Correlation analyses were performed between network topological properties and cognition in the iRBD and nRBD-PD groups. Results Both patients with iRBD and patients with early-stage nRBD-PD had attention, executive function, and some memory deficits. On global topological organization, iRBD and nRBD-PD groups still presented small-worldness, but both groups exhibited decreased global/local efficiency and increased characteristic path length. On regional topological organization, compared with HC, nRBD-PD presented decreased nodal efficiency, decreased degree centrality, and increased nodal shortest path length, while iRBD presented decreased nodal efficiency and nodal shortest path. For iRBD, brain regions with decreased nodal efficiency were included in the corresponding regions of nRBD-PD. Nodal shortest path changes were significantly different in terms of brain regions and directions between nRBD-PD and iRBD. Attention deficits were correlated with local topological properties of the occipital lobe in both iRBD and nRBD-PD groups. Conclusion Both global and local efficiency of functional networks declined in nRBD-PD and iRBD groups. The overlaps and differences in local topological properties between nRBD-PD and iRBD indicate that iRBD not only shares functional changes of PD but also presents distinct features.
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Zhang HJ, Wang SH, Bai YY, Zhang JW, Chen S. Abnormal Striatal-Cortical Networks Contribute to the Attention/Executive Function Deficits in Idiopathic REM Sleep Behavior Disorder: A Resting State Functional MRI Study. Front Aging Neurosci 2021; 13:690854. [PMID: 34276345 PMCID: PMC8280755 DOI: 10.3389/fnagi.2021.690854] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2021] [Accepted: 06/03/2021] [Indexed: 11/13/2022] Open
Abstract
Introduction The structural and functional damages of the striatum were evident in idiopathic REM sleep behavior disorder (iRBD). With the research on iRBD deepens, cognitive impairment in iRBD is getting increasing attention. However, the mechanism of cognitive impairment in iRBD was poorly understood. Methods Neuropsychological assessment was carried out in 21 polysomnographies (PSGs) confirmed iRBD patients and 22 normal controls. Both regional homogeneity (ReHo) and seed-based functional connectivity (FC) rs-fMRI analyses were applied to explore the FC abnormalities and its association with cognition in iRBD patients. Positive ReHo clusters were set as seeds for further FC analysis. Results Idiopathic REM sleep behavior disorder patients presented cognitive deficits in attention/working memory, executive function, immediate memory, and visuo-spatial ability. ReHo analysis revealed abnormal spontaneous brain activities in the striatum (right caudate, left pallidum and bilateral putamen) in iRBD. FC analysis showed decreased striatum-related FCs in the frontal, temporal, occipital lobes, thalamus, anterior cingulate gyrus, as well as decreased intrinsic FCs between bilateral putamen and between caudate and pallidum. Deficits in attention/working memory, executive function, and immediate memory were associated with abnormal striatal-cortical FCs including frontal, temporal, and anterior cingulate cortices. Conclusion Functional changes of striatum and cognitive impairment in iRBD were reconfirmed in the present study. Abnormal striatal-cortical networks, especially the striatal-frontal network, contribute to the working memory/executive function deficits in iRBDs. These findings supported the role of striatum not only in motor but also in cognition impairment in iRBD.
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Affiliation(s)
- Hong-Ju Zhang
- Department of Neurology People's Hospital of Zhengzhou University, Zhengzhou, China
| | - Sheng-Hui Wang
- Department of Neurology People's Hospital of Zhengzhou University, Zhengzhou, China
| | - Ying-Ying Bai
- Department of Neurology People's Hospital of Zhengzhou University, Zhengzhou, China
| | - Jie-Wen Zhang
- Department of Neurology People's Hospital of Zhengzhou University, Zhengzhou, China
| | - Shuai Chen
- Department of Neurology People's Hospital of Zhengzhou University, Zhengzhou, China
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