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Tang H, Zhang K, Zhang C, Zheng K, Gui L, Yan B. Bioinformatics-based identification of key candidate genes and signaling pathways in patients with Parkinson's disease and obstructive sleep apnea. Sleep Breath 2024; 28:1477-1489. [PMID: 38316731 DOI: 10.1007/s11325-024-03003-6] [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: 07/19/2023] [Revised: 01/12/2024] [Accepted: 01/15/2024] [Indexed: 02/07/2024]
Abstract
OBJECTIVES Existing evidence exhibits that obstructive sleep apnea (OSA) is a potential consequence of Parkinson's disease (PD) or a contributor to PD progression. This investigation aimed to detect potential critical genes and molecular mechanisms underlying interactions between PD and OSA through bioinformatics analyses. METHODS The Gene Expression Omnibus (GEO) database was employed to obtain the expression profiles GSE20163 and GSE135917. The identification of common genes connected to PD and OSA was performed utilizing weighted gene co-expression network analysis and the R 4.0.4 program. The Cytoscape program was utilized to generate a network of protein-protein interactions (PPI), and the CytoHubba plugin was utilized to detect hub genes. Subsequently, functional enrichment analyses of the hub genes were conducted. Markers with increased diagnostic values for PD and OSA were confirmed using the GEO datasets GSE8397 and GSE38792. RESULTS Typically, 57 genes that are common were identified in PD and OSA. Among these common genes, the top 10 hub genes in the PPI network were chosen. The verified datasets confirmed the presence of three important genes: CADPS, CHGA, and SCG3. Functional enrichment analysis revealed that these hub genes mostly participate in GABAergic synapses. CONCLUSION Our findings suggest that CADPS, CHGA, and SCG3 are key genes involved in molecular mechanisms underlying interactions between OSA and PD. Functional enrichment of hub genes indicated a link between GABAergic synapses and the shared pathogenesis of PD and OSA. These candidate genes and corresponding pathways offer novel insights regarding biological targets that underlie the transcriptional connection between OSA and PD.
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Affiliation(s)
- Huan Tang
- Department of Orthodontics, The Affiliated Stomatological Hospital of Nanjing Medical University, Nanjing, China
- Jiangsu Province Key Laboratory of Oral Diseases, Nanjing, China
- Jiangsu Province Engineering Research Center of Stomatological Translational Medicine, Nanjing, China
| | - Kejia Zhang
- Department of Orthodontics, The Affiliated Stomatological Hospital of Nanjing Medical University, Nanjing, China
- Jiangsu Province Key Laboratory of Oral Diseases, Nanjing, China
- Jiangsu Province Engineering Research Center of Stomatological Translational Medicine, Nanjing, China
| | - Chi Zhang
- Department of Orthodontics, The Affiliated Stomatological Hospital of Nanjing Medical University, Nanjing, China
- Jiangsu Province Key Laboratory of Oral Diseases, Nanjing, China
- Jiangsu Province Engineering Research Center of Stomatological Translational Medicine, Nanjing, China
| | - Kai Zheng
- Jiangsu Province Key Laboratory of Oral Diseases, Nanjing, China
- Jiangsu Province Engineering Research Center of Stomatological Translational Medicine, Nanjing, China
| | - Luying Gui
- Department of Mathematics, Nanjing University of Science and Technology, Nanjing, China
| | - Bin Yan
- Department of Orthodontics, The Affiliated Stomatological Hospital of Nanjing Medical University, Nanjing, China.
- Jiangsu Province Key Laboratory of Oral Diseases, Nanjing, China.
- Jiangsu Province Engineering Research Center of Stomatological Translational Medicine, Nanjing, China.
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Mateo D, Marquès M, Domingo JL, Torrente M. Influence of gut microbiota on the development of most prevalent neurodegenerative dementias and the potential effect of probiotics in elderly: A scoping review. Am J Med Genet B Neuropsychiatr Genet 2024; 195:e32959. [PMID: 37850544 DOI: 10.1002/ajmg.b.32959] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 08/29/2023] [Accepted: 09/19/2023] [Indexed: 10/19/2023]
Abstract
Dementia is one of today's greatest public health challenges. Its high socio-economic impact and difficulties in diagnosis and treatment are of increasing concern to an aging world population. In recent years, the study of the relationship between gut microbiota and different neurocognitive disorders has gained a considerable interest. Several studies have reported associations between gut microbiota dysbiosis and some types of dementia. Probiotics have been suggested to restore dysbiosis and to improve neurocognitive symptomatology in these dementias. Based on these previous findings, the available scientific evidence on the gut microbiota in humans affected by the most prevalent dementias, as well as the probiotic trials conducted in these patients in recent years, have been here reviewed. Decreased concentrations of short-chain fatty acids (SCFA) and other bacterial metabolites appear to play a major role in the onset of neurocognitive symptoms in Alzheimer disease (AD) and Parkinson disease dementia (PDD). Increased abundance of proinflammatory taxa could be closely related to the more severe clinical symptoms in both, as well as in Lewy Bodies dementia. Important lack of information was noted in Frontotemporal dementia behavioral variant. Moreover, geographical differences in the composition of the gut microbiota have been reported in AD. Some potential beneficial effects of probiotics in AD and PDD have been reported. However, due to the controversial results further investigations are clearly necessary.
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Affiliation(s)
- David Mateo
- Laboratory of Toxicology and Environmental Health - TecnATox, School of Medicine, Universitat Rovira i Virgili, Reus, Catalonia, Spain
| | - Montse Marquès
- Laboratory of Toxicology and Environmental Health - TecnATox, School of Medicine, Universitat Rovira i Virgili, Reus, Catalonia, Spain
| | - José L Domingo
- Laboratory of Toxicology and Environmental Health - TecnATox, School of Medicine, Universitat Rovira i Virgili, Reus, Catalonia, Spain
| | - Margarita Torrente
- Laboratory of Toxicology and Environmental Health - TecnATox, School of Medicine, Universitat Rovira i Virgili, Reus, Catalonia, Spain
- Department of Psychology, CRAMC (Research Center for Behaviour Assessment), Faculty of Education Sciences and Psychology, Universitat Rovira i Virgili, Tarragona, Catalonia, Spain
- Institute Lerin Neurocognitive, Alzheimer and other Neurocognitive Disorders Association, Reus, Catalonia, Spain
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Wong YY, Wu CY, Yu D, Kim E, Wong M, Elez R, Zebarth J, Ouk M, Tan J, Liao J, Haydarian E, Li S, Fang Y, Li P, Pakosh M, Tartaglia MC, Masellis M, Swardfager W. Biofluid markers of blood-brain barrier disruption and neurodegeneration in Lewy body spectrum diseases: A systematic review and meta-analysis. Parkinsonism Relat Disord 2022; 101:119-128. [PMID: 35760718 DOI: 10.1016/j.parkreldis.2022.06.004] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Revised: 06/01/2022] [Accepted: 06/08/2022] [Indexed: 02/06/2023]
Abstract
BACKGROUND Mixed evidence supports blood-brain barrier (BBB) dysfunction in Lewy body spectrum diseases. METHODS We compare biofluid markers in people with idiopathic Parkinson's disease (PD) and people with PD dementia (PDD) and/or dementia with Lewy bodies (DLB), compared with healthy controls (HC). Seven databases were searched up to May 10, 2021. Outcomes included cerebrospinal fluid to blood albumin ratio (Qalb), and concentrations of 7 blood protein markers that also reflect BBB disruption and/or neurodegenerative co-pathology. We further explore differences between PD patients with and without evidence of dementia. Random-effects models were used to obtain standardized mean differences (SMD) with 95% confidence interval. RESULTS Of 13,949 unique records, 51 studies were meta-analyzed. Compared to HC, Qalb was higher in PD (NPD/NHC = 224/563; SMD = 0.960 [0.227-1.694], p = 0.010; I2 = 92.2%) and in PDD/DLB (NPDD/DLB/NHC = 265/670; SMD = 1.126 [0.358-1.893], p < 0.001; I2 = 78.2%). Blood neurofilament light chain (NfL) was higher in PD (NPD/NHC = 1848/1130; SMD = 0.747 [0.442-1.052], p < 0.001; I2 = 91.9%) and PDD/DLB (NPDD/DLB/NHC = 183/469; SMD = 1.051 [0.678-1.423], p = 0.004; I2 = 92.7%) than in HC. p-tau 181 (NPD/NHC = 276/164; SMD = 0.698 [0.149-1.247], p = 0.013; I2 = 82.7%) was also higher in PD compared to HC. In exploratory analyses, blood NfL was higher in PD without dementia (NPDND/NHC = 1005/740; SMD = 0.252 [0.042-0.462], p = 0.018; I2 = 71.8%) and higher in PDD (NPDD/NHC = 100/111; SMD = 0.780 [0.347-1.214], p < 0.001; I2 = 46.7%) compared to HC. Qalb (NPDD/NPDND = 63/191; SMD = 0.482 [0.189-0.774], p = 0.010; I2<0.001%) and NfL (NPDD/NPDND = 100/223; SMD = 0.595 [0.346-0.844], p < 0.001; I2 = 3.4%) were higher in PDD than in PD without dementia. CONCLUSIONS Biofluid markers suggest BBB disruption and neurodegenerative co-pathology involvement in common Lewy body diseases. Greater evidence of BBB breakdown was seen in Lewy body disease with cognitive impairment.
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Affiliation(s)
- Yuen Yan Wong
- Department of Pharmacology & Toxicology, University of Toronto, Toronto, Ontario, Canada; Dr. Sandra Black Centre for Brain Resilience and Recovery, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Che-Yuan Wu
- Department of Pharmacology & Toxicology, University of Toronto, Toronto, Ontario, Canada; Dr. Sandra Black Centre for Brain Resilience and Recovery, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Di Yu
- Department of Pharmacology & Toxicology, University of Toronto, Toronto, Ontario, Canada; Dr. Sandra Black Centre for Brain Resilience and Recovery, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Esther Kim
- Department of Pharmacology & Toxicology, University of Toronto, Toronto, Ontario, Canada
| | - Melissa Wong
- Department of Pharmacology & Toxicology, University of Toronto, Toronto, Ontario, Canada
| | - Renata Elez
- Department of Pharmacology & Toxicology, University of Toronto, Toronto, Ontario, Canada
| | - Julia Zebarth
- Department of Pharmacology & Toxicology, University of Toronto, Toronto, Ontario, Canada
| | - Michael Ouk
- Dr. Sandra Black Centre for Brain Resilience and Recovery, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Jocelyn Tan
- Department of Pharmacology & Toxicology, University of Toronto, Toronto, Ontario, Canada
| | - Jiamin Liao
- Department of Pharmacology & Toxicology, University of Toronto, Toronto, Ontario, Canada
| | - Eileen Haydarian
- Dr. Sandra Black Centre for Brain Resilience and Recovery, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Siming Li
- Department of Pharmacology & Toxicology, University of Toronto, Toronto, Ontario, Canada
| | - Yaolu Fang
- Department of Pharmacology & Toxicology, University of Toronto, Toronto, Ontario, Canada
| | - Peihao Li
- Department of Pharmacology & Toxicology, University of Toronto, Toronto, Ontario, Canada
| | - Maureen Pakosh
- Library & Information Services, UHN Toronto Rehabilitation Institute, Toronto, Ontario, Canada
| | - Maria Carmela Tartaglia
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada
| | - Mario Masellis
- Dr. Sandra Black Centre for Brain Resilience and Recovery, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Ontario, Canada; Department of Medicine (Neurology), Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Walter Swardfager
- Department of Pharmacology & Toxicology, University of Toronto, Toronto, Ontario, Canada; Dr. Sandra Black Centre for Brain Resilience and Recovery, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Ontario, Canada; KITE UHN Toronto Rehabilitation Institute, Toronto, Ontario, Canada.
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Prasad S, Katta MR, Abhishek S, Sridhar R, Valisekka SS, Hameed M, Kaur J, Walia N. Recent advances in Lewy body dementia: A comprehensive review. Dis Mon 2022; 69:101441. [PMID: 35690493 DOI: 10.1016/j.disamonth.2022.101441] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Lewy Body Dementia is the second most frequent neurodegenerative illness proven to cause dementia, after Alzheimer's disease (AD). It is believed to be vastly underdiagnosed, as there is a significant disparity between the number of cases diagnosed clinically and those diagnosed via neuropathology at the time of postmortem autopsy. Strikingly, many of the pharmacologic treatments used to treat behavioral and cognitive symptoms in other forms of dementia exacerbate the symptoms of DLB. Therefore, it is critical to accurately diagnose DLB as these patients require a specific treatment approach. This article focuses on its pathophysiology, risk factors, differentials, and its diverse treatment modalities. In this study, an English language literature search was conducted on Medline, Cochrane, Embase, and Google Scholar till April 2022. The following search strings and Medical Subject Headings (MeSH) terms were used: "Lewy Body Dementia," "Dementia with Lewy bodies," and "Parkinson's Disease Dementia." We explored the literature on Lewy Body Dementia for its epidemiology, pathophysiology, the role of various genes and how they bring about the disease, biomarkers, its differential diagnoses and treatment options.
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Affiliation(s)
- Sakshi Prasad
- Faculty of Medicine, National Pirogov Memorial Medical University, 21018, Vinnytsya, Ukraine.
| | | | | | | | | | - Maha Hameed
- Alfaisal University College of Medicine, Riyadh, Saudi Arabia
| | | | - Namrata Walia
- Department of Psychiatry and Behavioral Sciences, University of Texas Health Sciences Center, Houston, Texas, United States of America
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Bousiges O, Blanc F. Biomarkers of Dementia with Lewy Bodies: Differential Diagnostic with Alzheimer's Disease. Int J Mol Sci 2022; 23:ijms23126371. [PMID: 35742814 PMCID: PMC9223587 DOI: 10.3390/ijms23126371] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Revised: 05/30/2022] [Accepted: 06/01/2022] [Indexed: 02/04/2023] Open
Abstract
Dementia with Lewy Bodies (DLB) is a common form of cognitive neurodegenerative disease. Only one third of patients are correctly diagnosed due to the clinical similarity mainly with Alzheimer’s disease (AD). In this review, we evaluate the interest of different biomarkers: cerebrospinal fluid (CSF), brain MRI, FP-CIT SPECT, MIBG SPECT, PET by focusing more specifically on differential diagnosis between DLB and AD. FP-CIT SPECT is of high interest to discriminate DLB and AD, but not at the prodromal stage (i.e., MCI). MIBG SPECT with decreased cardiac sympathetic activity, perfusion SPECT with occipital hypoperfusion, FDG PET with occipital hypometabolism and cingulate island signs are of interest at the dementia stage but with a lower validity. Brain MRI has shown differences in group study with lower grey matter concentration of the Insula in prodromal DLB, but its interest in clinical routines is not demonstrated. Concerning CSF biomarkers, many studies have already examined the relevance of AD biomarkers but also alpha-synuclein assays in DLB, so we will focus as comprehensively as possible on other biomarkers (especially those that do not appear to be directly related to synucleinopathy) that may be of interest in the differential diagnosis between AD and DLB. Furthermore, we would like to highlight the growing interest in CSF synuclein RT-QuIC, which seems to be an excellent discrimination tool but its application in clinical routine remains to be demonstrated, given the non-automation of the process.
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Affiliation(s)
- Olivier Bousiges
- Laboratory of Biochemistry and Molecular Biology, University Hospital of Strasbourg, 67000 Strasbourg, France
- Team IMIS, ICube Laboratory UMR 7357 and FMTS (Fédération de Médecine Translationnelle de Strasbourg), University of Strasbourg and CNRS, 67000 Strasbourg, France;
- CM2R (Research and Resources Memory Centre), Geriatrics Department, Day Hospital and Cognitive-Behavioral Unit University Hospitals of Strasbourg, 67000 Strasbourg, France
- Correspondence:
| | - Frédéric Blanc
- Team IMIS, ICube Laboratory UMR 7357 and FMTS (Fédération de Médecine Translationnelle de Strasbourg), University of Strasbourg and CNRS, 67000 Strasbourg, France;
- CM2R (Research and Resources Memory Centre), Geriatrics Department, Day Hospital and Cognitive-Behavioral Unit University Hospitals of Strasbourg, 67000 Strasbourg, France
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Zhu S, Bäckström D, Forsgren L, Trupp M. Alterations in Self-Aggregating Neuropeptides in Cerebrospinal Fluid of Patients with Parkinsonian Disorders. JOURNAL OF PARKINSON'S DISEASE 2022; 12:1169-1189. [PMID: 35253777 PMCID: PMC9198747 DOI: 10.3233/jpd-213031] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background: Parkinson’s disease (PD), progressive supranuclear palsy (PSP), and multiple system atrophy (MSA) present with similar movement disorder symptoms but distinct protein aggregates upon pathological examination. Objective: Discovery and validation of candidate biomarkers in parkinsonian disorders for differential diagnosis of subgroup molecular etiologies. Methods: Untargeted liquid chromatography (LC)-mass spectrometry (MS) proteomics was used for discovery profiling in cerebral spinal fluid (CSF) followed by LC-MS/MS based multiple reaction monitoring for validation of candidates. We compared clinical variation within the parkinsonian cohort including PD subgroups exhibiting tremor dominance (TD) or postural instability gait disturbance and those with detectable leukocytes in CSF. Results: We have identified candidate peptide biomarkers and validated related proteins with targeted quantitative multiplexed assays. Dopamine-drug naïve patients at first diagnosis exhibit reduced levels of signaling neuropeptides, chaperones, and processing proteases for packaging of self-aggregating peptides into dense core vesicles. Distinct patterns of biomarkers were detected in the parkinsonian disorders but were not robust enough to offer a differential diagnosis. Different biomarker changes were detected in male and female patients with PD. Subgroup specific candidate biomarkers were identified for TD PD and PD patients with leukocytes detected in CSF. Conclusion: PD, MSA, and PSP exhibit overlapping as well as distinct protein biomarkers that suggest specific molecular etiologies. This indicates common sensitivity of certain populations of selectively vulnerable neurons in the brain, and distinct therapeutic targets for PD subgroups. Our report validates a decrease in CSF levels of self-aggregating neuropeptides in parkinsonian disorders and supports the role of native amyloidogenic proteins in etiologies of neurodegenerative diseases.
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Affiliation(s)
- Shaochun Zhu
- Department of Clinical Sciences, Neurosciences, Umeå University, Umeå, Sweden
| | - David Bäckström
- Department of Clinical Sciences, Neurosciences, Umeå University, Umeå, Sweden
| | - Lars Forsgren
- Department of Clinical Sciences, Neurosciences, Umeå University, Umeå, Sweden
| | - Miles Trupp
- Department of Clinical Sciences, Neurosciences, Umeå University, Umeå, Sweden
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Cerebrospinal Fluid Levels of Chromogranin A in Parkinson's Disease and Multiple System Atrophy. Brain Sci 2021; 11:brainsci11020141. [PMID: 33499181 PMCID: PMC7912438 DOI: 10.3390/brainsci11020141] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Revised: 01/11/2021] [Accepted: 01/19/2021] [Indexed: 11/17/2022] Open
Abstract
Background: Chromogranin A (CgA) and other peptides from the chromogranin–secretogranin family have been recently studied as potential biomarkers of various neurodegenerative diseases, including Parkinson’s disease (PD). Methods: We measured CgA in the cerebrospinal fluid (CSF) of 119 PD patients, 18 multiple system atrophy (MSA) patients, and 31 age-matched controls. We also correlated the values with disease duration and levodopa dose equivalent. Results: In the PD patients, CSF CgA tended to be lower than the control group (median 124.5 vs. 185.2 µg/L; p = 0.057); however, the results did not reach statistical significance. CSF CgA levels in MSA were significantly lower compared to the control group (median 104.4 vs. 185.2; p = 0.014). There was no significant difference in CSF CgA between PD and MSA patients (p = 0.372). There was no association between CSF CgA and disease duration or levodopa dose equivalent in PD or in MSA. Conclusions: We observed a tendency toward lower CSF CgA levels in both PD and MSA compared to the control group; however, the difference reached statistical significance only in MSA. Based on these results, CgA may have potential as a biomarker in PD and MSA, but further studies on larger numbers of patients are needed to draw conclusions.
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