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Dos Santos JCC, Mano GBC, da Cunha Barreto-Vianna AR, Garcia TFM, de Vasconcelos AV, Sá CSG, de Souza Santana SL, Farias AGP, Seimaru B, Lima MPP, Goes JVC, Gusmão CTP, Junior HLR. The Molecular Impact of Glucosylceramidase Beta 1 (Gba1) in Parkinson's Disease: a New Genetic State of the Art. Mol Neurobiol 2024; 61:6754-6770. [PMID: 38347286 DOI: 10.1007/s12035-024-04008-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Accepted: 01/29/2024] [Indexed: 08/22/2024]
Abstract
Parkinson's disease (PD) is a neurodegenerative disorder affecting 2-3% of those aged over 65, characterized by motor symptoms like slow movement, tremors, and muscle rigidity, along with non-motor symptoms such as anxiety and dementia. Lewy bodies, clumps of misfolded proteins, contribute to neuron loss in PD. Mutations in the GBA1 gene are considered the primary genetic risk factor of PD. GBA1 mutations result in decreased activity of the lysosomal enzyme glucocerebrosidase (GCase) resulting in α-synuclein accumulation. We know that α-synuclein aggregation, lysosomal dysfunction, and endoplasmic reticulum disturbance are recognized factors to PD susceptibility; however, the molecular mechanisms connecting GBA1 gene mutations to increased PD risk remain partly unknown. Thus, in this narrative review conducted according to a systematic review method, we aimed to present the main contributions arising from the molecular impact of the GBA1 gene to the pathogenesis of PD providing new insights into potential impacts for advances in the clinical care of people with PD, a neurological disorder that has contributed to the substantial increase in the global burden of disease accentuated by the aging population. In summary, this narrative review highlights the multifaceted impact of GBA1 mutations in PD, exploring their role in clinical manifestations, genetic predispositions, and molecular mechanisms. The review emphasizes the importance of GBA1 mutations in both motor and non-motor symptoms of PD, suggesting broader therapeutic and management strategies. It also discusses the potential of CRISPR/Cas9 technology in advancing PD treatment and the need for future research to integrate these diverse aspects for improved diagnostics and therapies.
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Affiliation(s)
- Júlio César Claudino Dos Santos
- Christus University Center, UNICHRISTUS, Fortaleza, Ceara, Brazil.
- Center for Research and Drug Development (NPDM), Federal University of Ceara, Fortaleza, Ceara, Brazil.
- Postgraduate Program in Morphofunctional Sciences, Federal University of Ceará, Fortaleza, Ceara, Brazil.
| | | | | | - Tulia Fernanda Meira Garcia
- Multicampi School of Medical Sciences, Federal University of Rio Grande Do Norte, Caico, Rio Grande Do Norte, Brazil
| | | | | | | | - Ana Gabriela Ponte Farias
- Center for Research and Drug Development (NPDM), Federal University of Ceara, Fortaleza, Ceara, Brazil
| | - Beatriz Seimaru
- Barão de Mauá University Center, CBM, Ribeirão Preto, São Paulo, Brazil
| | | | - João Vitor Caetano Goes
- Center for Research and Drug Development (NPDM), Federal University of Ceara, Fortaleza, Ceara, Brazil
- Post-Graduate Program of Pathology, Federal University of Ceara, Fortaleza, Ceara, Brazil
| | | | - Howard Lopes Ribeiro Junior
- Center for Research and Drug Development (NPDM), Federal University of Ceara, Fortaleza, Ceara, Brazil
- Post-Graduate Program of Pathology, Federal University of Ceara, Fortaleza, Ceara, Brazil
- Post-Graduate Program in Medical Science, Federal University of Ceara, Fortaleza, Ceara, Brazil
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2
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Pavelka L, Rauschenberger A, Hemedan A, Ostaszewski M, Glaab E, Krüger R. Converging peripheral blood microRNA profiles in Parkinson's disease and progressive supranuclear palsy. Brain Commun 2024; 6:fcae187. [PMID: 38863572 PMCID: PMC11166179 DOI: 10.1093/braincomms/fcae187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Revised: 05/02/2024] [Accepted: 05/29/2024] [Indexed: 06/13/2024] Open
Abstract
MicroRNAs act via targeted suppression of messenger RNA translation in the DNA-RNA-protein axis. The dysregulation of microRNA(s) reflects the epigenetic changes affecting the cellular processes in multiple disorders. To understand the complex effect of dysregulated microRNAs linked to neurodegeneration, we performed a cross-sectional microRNA expression analysis in idiopathic Parkinson's disease (n = 367), progressive supranuclear palsy (n = 35) and healthy controls (n = 416) from the Luxembourg Parkinson's Study, followed by prediction modelling, enriched pathway analysis and target simulation of dysregulated microRNAs using probabilistic Boolean modelling. Forty-six microRNAs were identified to be dysregulated in Parkinson's disease versus controls and 16 in progressive supranuclear palsy versus controls with 4 overlapping significantly dysregulated microRNAs between the comparisons. Predictive power of microRNA subsets (including up to 100 microRNAs) was modest for differentiating Parkinson's disease or progressive supranuclear palsy from controls (maximal cross-validated area under the receiver operating characteristic curve 0.76 and 0.86, respectively) and low for progressive supranuclear palsy versus Parkinson's disease (maximal cross-validated area under the receiver operating characteristic curve 0.63). The enriched pathway analysis revealed natural killer cell pathway to be dysregulated in both, Parkinson's disease and progressive supranuclear palsy versus controls, indicating that the immune system might play an important role in both diseases. Probabilistic Boolean modelling of pathway dynamics affected by dysregulated microRNAs in Parkinson's disease and progressive supranuclear palsy revealed partially overlapping dysregulation in activity of the transcription factor EB, endoplasmic reticulum stress signalling, calcium signalling pathway, dopaminergic transcription and peroxisome proliferator-activated receptor gamma coactivator-1α activity, though involving different mechanisms. These findings indicated a partially convergent (sub)cellular end-point dysfunction at multiple levels in Parkinson's disease and progressive supranuclear palsy, but with distinctive underlying molecular mechanisms.
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Affiliation(s)
- Lukas Pavelka
- Transversal Translational Medicine, Luxembourg Institute of Health (LIH), Strassen L-1445, Luxembourg
- Parkinson’s Research Clinic, Centre Hospitalier de Luxembourg (CHL), Luxembourg L-1210, Luxembourg
- Translational Neuroscience, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette L-4367, Luxembourg
| | - Armin Rauschenberger
- Biomedical Data Science Group, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette L-4367, Luxembourg
- Competence Centre for Methodology and Statistics, Translational Medicine Operations Hub, Luxembourg Institute of Health (LIH), Strassen L-1445, Luxembourg
| | - Ahmed Hemedan
- Bioinformatics Core Unit, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette L-4367, Luxembourg
| | - Marek Ostaszewski
- Bioinformatics Core Unit, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette L-4367, Luxembourg
| | - Enrico Glaab
- Biomedical Data Science Group, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette L-4367, Luxembourg
| | - Rejko Krüger
- Transversal Translational Medicine, Luxembourg Institute of Health (LIH), Strassen L-1445, Luxembourg
- Parkinson’s Research Clinic, Centre Hospitalier de Luxembourg (CHL), Luxembourg L-1210, Luxembourg
- Translational Neuroscience, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette L-4367, Luxembourg
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3
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Liu C, Su Y, Ma X, Wei Y, Qiao R. How close are we to a breakthrough? The hunt for blood biomarkers in Parkinson's disease diagnosis. Eur J Neurosci 2024; 59:2563-2576. [PMID: 38379501 DOI: 10.1111/ejn.16290] [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: 12/14/2023] [Revised: 02/02/2024] [Accepted: 02/03/2024] [Indexed: 02/22/2024]
Abstract
Parkinson's disease (PD), being the second largest neurodegenerative disease, poses challenges in early detection, resulting in a lack of timely treatment options to effectively manage the disease. By the time clinical diagnosis becomes possible, more than 60% of dopamine neurons in the substantia nigra (SN) of patients have already degenerated. Therefore, early diagnosis or identification of warning signs is crucial for the prompt and timely beginning of the treatment. However, conducting invasive or complex diagnostic procedures on asymptomatic patients can be challenging, making routine blood tests a more feasible approach in such cases. Numerous studies have been conducted over an extended period to search for effective diagnostic biomarkers in blood samples. However, thus far, no highly effective biomarkers have been confirmed. Besides classical proteins like α-synuclein (α-syn), phosphorylated α-syn and oligomeric α-syn, other molecules involved in disease progression should also be given equal attention. In this review, we will not only discuss proposed biomarkers that are currently under investigation but also delve into the mechanisms underlying the disease, focusing on processes such as α-syn misfolding, intercellular transmission and the crossing of the blood-brain barrier (BBB). Our aim is to provide an updated overview of molecules based on these processes that may potentially serve as blood biomarkers.
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Affiliation(s)
- Cheng Liu
- Peking University Third Hospital, Beijing, China
| | - Yang Su
- Peking University Third Hospital, Beijing, China
| | - Xiaolong Ma
- Peking University Third Hospital, Beijing, China
| | - Yao Wei
- Peking University Third Hospital, Beijing, China
| | - Rui Qiao
- Peking University Third Hospital, Beijing, China
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4
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Hart M, Kern F, Fecher-Trost C, Krammes L, Aparicio E, Engel A, Hirsch P, Wagner V, Keller V, Schmartz GP, Rheinheimer S, Diener C, Fischer U, Mayer J, Meyer MR, Flockerzi V, Keller A, Meese E. Experimental capture of miRNA targetomes: disease-specific 3'UTR library-based miRNA targetomics for Parkinson's disease. Exp Mol Med 2024; 56:935-945. [PMID: 38556547 PMCID: PMC11059366 DOI: 10.1038/s12276-024-01202-5] [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: 08/21/2023] [Revised: 01/12/2024] [Accepted: 01/30/2024] [Indexed: 04/02/2024] Open
Abstract
The identification of targetomes remains a challenge given the pleiotropic effect of miRNAs, the limited effects of miRNAs on individual targets, and the sheer number of estimated miRNA-target gene interactions (MTIs), which is around 44,571,700. Currently, targetome identification for single miRNAs relies on computational evidence and functional studies covering smaller numbers of targets. To ensure that the targetome analysis could be experimentally verified by functional assays, we employed a systematic approach and explored the targetomes of four miRNAs (miR-129-5p, miR-129-1-3p, miR-133b, and miR-873-5p) by analyzing 410 predicted target genes, both of which were previously associated with Parkinson's disease (PD). After performing 13,536 transfections, we validated 442 of the 705 putative MTIs (62,7%) through dual luciferase reporter assays. These analyses increased the number of validated MTIs by at least 2.1-fold for miR-133b and by a maximum of 24.3-fold for miR-873-5p. Our study contributes to the experimental capture of miRNA targetomes by addressing i) the ratio of experimentally verified MTIs to predicted MTIs, ii) the sizes of disease-related miRNA targetomes, and iii) the density of MTI networks. A web service to support the analyses on the MTI level is available online ( https://ccb-web.cs.uni-saarland.de/utr-seremato ), and all the data have been added to the miRATBase database ( https://ccb-web.cs.uni-saarland.de/miratbase ).
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Affiliation(s)
- Martin Hart
- Human Genetics, Saarland University, 66421, Homburg, Germany.
| | - Fabian Kern
- Clinical Bioinformatics, Saarland University, 66123, Saarbrücken, Germany
- Helmholtz Institute for Pharmaceutical Research Saarland (HIPS)-Helmholtz Centre for Infection Research (HZI), Saarland University Campus, Saarbrücken, Germany
| | - Claudia Fecher-Trost
- Department of Experimental and Clinical Pharmacology & Toxicology, Institute of Experimental and Clinical Pharmacology and Toxicology, Center for Molecular Signaling (PZMS), Saarland University, 66421, Homburg, Germany
| | - Lena Krammes
- Human Genetics, Saarland University, 66421, Homburg, Germany
| | - Ernesto Aparicio
- Clinical Bioinformatics, Saarland University, 66123, Saarbrücken, Germany
| | - Annika Engel
- Clinical Bioinformatics, Saarland University, 66123, Saarbrücken, Germany
| | - Pascal Hirsch
- Clinical Bioinformatics, Saarland University, 66123, Saarbrücken, Germany
| | - Viktoria Wagner
- Clinical Bioinformatics, Saarland University, 66123, Saarbrücken, Germany
| | - Verena Keller
- Clinical Bioinformatics, Saarland University, 66123, Saarbrücken, Germany
- Department for Internal Medicine II, Saarland University Hospital, 66421, Homburg, Germany
| | | | | | - Caroline Diener
- Human Genetics, Saarland University, 66421, Homburg, Germany
| | - Ulrike Fischer
- Human Genetics, Saarland University, 66421, Homburg, Germany
| | - Jens Mayer
- Human Genetics, Saarland University, 66421, Homburg, Germany
| | - Markus R Meyer
- Department of Experimental and Clinical Pharmacology & Toxicology, Institute of Experimental and Clinical Pharmacology and Toxicology, Center for Molecular Signaling (PZMS), Saarland University, 66421, Homburg, Germany
| | - Veit Flockerzi
- Department of Experimental and Clinical Pharmacology & Toxicology, Institute of Experimental and Clinical Pharmacology and Toxicology, Center for Molecular Signaling (PZMS), Saarland University, 66421, Homburg, Germany
| | - Andreas Keller
- Clinical Bioinformatics, Saarland University, 66123, Saarbrücken, Germany
- Helmholtz Institute for Pharmaceutical Research Saarland (HIPS)-Helmholtz Centre for Infection Research (HZI), Saarland University Campus, Saarbrücken, Germany
| | - Eckart Meese
- Human Genetics, Saarland University, 66421, Homburg, Germany
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Li W, Wu H, Li J, Wang Z, Cai M, Liu X, Liu G. Transcriptomic analysis reveals associations of blood-based A-to-I editing with Parkinson's disease. J Neurol 2024; 271:976-985. [PMID: 37902879 DOI: 10.1007/s00415-023-12053-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 10/07/2023] [Accepted: 10/09/2023] [Indexed: 11/01/2023]
Abstract
BACKGROUND Adenosine-to-inosine (A-to-I) editing is the most common type of RNA editing in humans and the role of A-to-I RNA editing remains unclear in Parkinson's disease (PD). OBJECTIVE We aimed to explore the potential causal association between A-to-I editing and PD, and to assess whether changes in A-to-I editing were associated with cognitive progression in PD. METHODS The RNA-seq data from 380 PD patients and 178 healthy controls in the Parkinson's Progression Marker Initiative cohort was used to quantify A-to-I editing sites. We performed cis-RNA editing quantitative trait loci analysis and a two-sample Mendelian Randomization (MR) study by integrating genome-wide association studies to infer the potential causality between A-to-I editing and PD pathogenesis. The potential causal A-to-I editing sites were further confirmed by Summary-data-based MR analysis. Spearman's correlation analysis was performed to characterize the association between longitudinal A-to-I editing and cognitive progression in patients with PD. RESULTS We identified 17 potential causal A-to-I editing sites for PD and indicated that genetic risk variants may contribute to the risk of PD through A-to-I editing. These A-to-I editing sites were located in genes NCOR1, KANSL1 and BST1. Moreover, we observed 57 sites whose longitudinal A-to-I editing levels correlated with cognitive progression in PD. CONCLUSIONS We found potential causal A-to-I editing sites for PD onset and longitudinal changes of A-to-I editing were associated with cognitive progression in PD. We anticipate this study will provide new biological insights and drive the discovery of the epitranscriptomic role underlying Parkinson's disease.
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Affiliation(s)
- Weimin Li
- Shenzhen Key Laboratory of Systems Medicine in Inflammatory Diseases, School of Medicine, Shenzhen Campus of Sun Yat-Sen University, No.66, Gongchang Road, Guangming District, Shenzhen, 518107, Guangdong, People's Republic of China
- Neurobiology Research Center, School of Medicine, Shenzhen Campus of Sun Yat-Sen University, No.66, Gongchang Road, Guangming District, Shenzhen, 518107, Guangdong, People's Republic of China
| | - Hao Wu
- Shenzhen Key Laboratory of Systems Medicine in Inflammatory Diseases, School of Medicine, Shenzhen Campus of Sun Yat-Sen University, No.66, Gongchang Road, Guangming District, Shenzhen, 518107, Guangdong, People's Republic of China
- Neurobiology Research Center, School of Medicine, Shenzhen Campus of Sun Yat-Sen University, No.66, Gongchang Road, Guangming District, Shenzhen, 518107, Guangdong, People's Republic of China
| | - Jinxia Li
- Shenzhen Key Laboratory of Systems Medicine in Inflammatory Diseases, School of Medicine, Shenzhen Campus of Sun Yat-Sen University, No.66, Gongchang Road, Guangming District, Shenzhen, 518107, Guangdong, People's Republic of China
- Neurobiology Research Center, School of Medicine, Shenzhen Campus of Sun Yat-Sen University, No.66, Gongchang Road, Guangming District, Shenzhen, 518107, Guangdong, People's Republic of China
| | - Zhuo Wang
- Warshel Institute for Computational Biology, School of Medicine, The Chinese University of Hong Kong, Shenzhen, 518172, Guangdong, People's Republic of China
| | - Miao Cai
- Neurology Department, Zhejiang Hospital, Hangzhou, 310013, People's Republic of China
| | - Xiaoli Liu
- Neurology Department, Zhejiang Hospital, Hangzhou, 310013, People's Republic of China
| | - Ganqiang Liu
- Shenzhen Key Laboratory of Systems Medicine in Inflammatory Diseases, School of Medicine, Shenzhen Campus of Sun Yat-Sen University, No.66, Gongchang Road, Guangming District, Shenzhen, 518107, Guangdong, People's Republic of China.
- Neurobiology Research Center, School of Medicine, Shenzhen Campus of Sun Yat-Sen University, No.66, Gongchang Road, Guangming District, Shenzhen, 518107, Guangdong, People's Republic of China.
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Whittle BJ, Izuogu OG, Lowes H, Deen D, Pyle A, Coxhead J, Lawson RA, Yarnall AJ, Jackson MS, Santibanez-Koref M, Hudson G. Early-stage idiopathic Parkinson's disease is associated with reduced circular RNA expression. NPJ Parkinsons Dis 2024; 10:25. [PMID: 38245550 PMCID: PMC10799891 DOI: 10.1038/s41531-024-00636-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: 07/25/2023] [Accepted: 01/08/2024] [Indexed: 01/22/2024] Open
Abstract
Neurodegeneration in Parkinson's disease (PD) precedes diagnosis by years. Early neurodegeneration may be reflected in RNA levels and measurable as a biomarker. Here, we present the largest quantification of whole blood linear and circular RNAs (circRNA) in early-stage idiopathic PD, using RNA sequencing data from two cohorts (PPMI = 259 PD, 161 Controls; ICICLE-PD = 48 PD, 48 Controls). We identified a replicable increase in TMEM252 and LMNB1 gene expression in PD. We identified novel differences in the expression of circRNAs from ESYT2, BMS1P1 and CCDC9, and replicated trends of previously reported circRNAs. Overall, using circRNA as a diagnostic biomarker in PD did not show any clear improvement over linear RNA, minimising its potential clinical utility. More interestingly, we observed a general reduction in circRNA expression in both PD cohorts, accompanied by an increase in RNASEL expression. This imbalance implicates the activation of an innate antiviral immune response and suggests a previously unknown aspect of circRNA regulation in PD.
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Affiliation(s)
- Benjamin J Whittle
- Wellcome Centre for Mitochondrial Research, Biosciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Osagie G Izuogu
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire, UK
| | - Hannah Lowes
- Wellcome Centre for Mitochondrial Research, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Dasha Deen
- Wellcome Centre for Mitochondrial Research, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Angela Pyle
- Wellcome Centre for Mitochondrial Research, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Jon Coxhead
- Biosciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Rachael A Lawson
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Alison J Yarnall
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Michael S Jackson
- Biosciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | | | - Gavin Hudson
- Wellcome Centre for Mitochondrial Research, Biosciences Institute, Newcastle University, Newcastle upon Tyne, UK.
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Gou LT, Zhu Q, Liu MF. Small RNAs: An expanding world with therapeutic promises. FUNDAMENTAL RESEARCH 2023; 3:676-682. [PMID: 38933305 PMCID: PMC11197668 DOI: 10.1016/j.fmre.2023.03.003] [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: 12/09/2022] [Revised: 03/12/2023] [Accepted: 03/17/2023] [Indexed: 04/09/2023] Open
Abstract
Small non-coding RNAs (sncRNAs), such as microRNAs (miRNAs), small interfering RNAs (siRNAs), PIWI-interacting RNAs (piRNAs), and transfer RNA (tRNA)-derived small RNAs (tsRNAs), play essential roles in regulating various cellular and developmental processes. Over the past three decades, researchers have identified novel sncRNA species from various organisms. These molecules demonstrate dynamic expression and diverse functions, and they are subject to intricate regulation through RNA modifications in both healthy and diseased states. Notably, certain sncRNAs in gametes, particularly sperm, respond to environmental stimuli and facilitate epigenetic inheritance. Collectively, the in-depth understanding of sncRNA functions and mechanisms has accelerated the development of small RNA-based therapeutics. In this review, we present the recent advances in the field, including new sncRNA species and the regulatory influences of RNA modifications. We also discuss the current limitations and challenges associated with using small RNAs as either biomarkers or therapeutic drugs.
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Affiliation(s)
- Lan-Tao Gou
- State Key Laboratory of Molecular Biology, Shanghai Key Laboratory of Molecular Andrology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China
| | - Qifan Zhu
- State Key Laboratory of Molecular Biology, Shanghai Key Laboratory of Molecular Andrology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China
| | - Mo-Fang Liu
- State Key Laboratory of Molecular Biology, Shanghai Key Laboratory of Molecular Andrology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China
- School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China
- School of Life Science and Technology, Shanghai Tech University, Shanghai 201210, China
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Hou X, Wong G. Nomogram for Early Prediction of Parkinson's Disease Based on microRNA Profiles and Clinical Variables. JOURNAL OF PARKINSON'S DISEASE 2023:JPD225080. [PMID: 37212072 DOI: 10.3233/jpd-225080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/23/2023]
Abstract
BACKGROUND Few efficient and simple models for the early prediction of Parkinson's disease (PD) exists. OBJECTIVE To develop and validate a novel nomogram for early identification of PD by incorporating microRNA (miRNA) expression profiles and clinical indicators. METHODS Expression levels of blood-based miRNAs and clinical variables from 1,284 individuals were downloaded from the Parkinson's Progression Marker Initiative database on June 1, 2022. Initially, the generalized estimating equation was used to screen candidate biomarkers of PD progression in the discovery phase. Then, the elastic net model was utilized for variable selection and a logistics regression model was constructed to establish a nomogram. Additionally, the receiver operating characteristic (ROC) curves, decision curve analysis (DCA), and calibration curves were utilized to evaluate the performance of the nomogram. RESULTS An accurate and externally validated nomogram was constructed for predicting prodromal and early PD. The nomogram is easy to utilize in a clinical setting since it consists of age, gender, education level, and transcriptional score (calculated by 10 miRNA profiles). Compared with the independent clinical model or 10 miRNA panel separately, the nomogram was reliable and satisfactory because the area under the ROC curve achieved 0.72 (95% confidence interval, 0.68-0.77) and obtained a superior clinical net benefit in DCA based on external datasets. Moreover, calibration curves also revealed its excellent prediction power. CONCLUSION The constructed nomogram has potential for large-scale early screening of PD based upon its utility and precision.
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Affiliation(s)
- Xiangqing Hou
- Department of Public Health and Medicinal Administration, Faculty of Health Sciences, University of Macau, Macau S.A.R., China
| | - Garry Wong
- Department of Public Health and Medicinal Administration, Faculty of Health Sciences, University of Macau, Macau S.A.R., China
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Wu S, Xue Q, Qin X, Wu X, Kim P, Chyr J, Zhou X, Huang L. The Potential Regulation of A-to-I RNA Editing on Genes in Parkinson's Disease. Genes (Basel) 2023; 14:genes14040919. [PMID: 37107677 PMCID: PMC10137963 DOI: 10.3390/genes14040919] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2023] [Revised: 03/28/2023] [Accepted: 04/12/2023] [Indexed: 04/29/2023] Open
Abstract
Parkinson's disease (PD) is characterized by dopaminergic neurodegeneration and an abnormal accumulation of α-synuclein aggregates. A number of genetic factors have been shown to increase the risk of PD. Exploring the underlying molecular mechanisms that mediate PD's transcriptomic diversity can help us understand neurodegenerative pathogenesis. In this study, we identified 9897 A-to-I RNA editing events associated with 6286 genes across 372 PD patients. Of them, 72 RNA editing events altered miRNA binding sites and this may directly affect miRNA regulations of their host genes. However, RNA editing effects on the miRNA regulation of genes are more complex. They can (1) abolish existing miRNA binding sites, which allows miRNAs to regulate other genes; (2) create new miRNA binding sites that may sequester miRNAs from regulating other genes; or (3) occur in the miRNA seed regions and change their targets. The first two processes are also referred to as miRNA competitive binding. In our study, we found 8 RNA editing events that may alter the expression of 1146 other genes via miRNA competition. We also found one RNA editing event that modified a miRNA seed region, which was predicted to disturb the regulation of four genes. Considering the PD-related functions of the affected genes, 25 A-to-I RNA editing biomarkers for PD are proposed, including the 3 editing events in the EIF2AK2, APOL6, and miR-4477b seed regions. These biomarkers may alter the miRNA regulation of 133 PD-related genes. All these analyses reveal the potential mechanisms and regulations of RNA editing in PD pathogenesis.
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Affiliation(s)
- Sijia Wu
- School of Life Science and Technology, Xidian University, Xi'an 710071, China
| | - Qiuping Xue
- School of Life Science and Technology, Xidian University, Xi'an 710071, China
| | - Xinyu Qin
- School of Life Science and Technology, Xidian University, Xi'an 710071, China
| | - Xiaoming Wu
- School of Life Sciences and Technology, Xi'an Jiaotong University, Xi'an 710049, China
| | - Pora Kim
- Center for Computational Systems Medicine, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Jacqueline Chyr
- Center for Computational Systems Medicine, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Xiaobo Zhou
- Center for Computational Systems Medicine, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Liyu Huang
- School of Life Science and Technology, Xidian University, Xi'an 710071, China
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10
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Bougea A, Stefanis L. microRNA and circRNA in Parkinson's Disease and atypical parkinsonian syndromes. Adv Clin Chem 2023; 115:83-133. [PMID: 37673523 DOI: 10.1016/bs.acc.2023.03.002] [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: 03/30/2023]
Abstract
Multiple System Atrophy (MSA) and Progressive Supranuclear Palsy (PSP) are atypical parkinsonian syndromes (APS) with various clinical phenotypes and considerable clinical overlap with idiopathic Parkinson's disease (iPD). This disease heterogeneity makes ante-mortem diagnosis extremely challenging with up to 24% of patients misdiagnosed. Because diagnosis is predominantly clinical, there is great interest in identifying biomarkers for early diagnosis and differentiation of the different types of parkinsonism. Compared to protein biomarkers, microRNAs (miRNAs) and circularRNAs (circRNAs) are stable tissue-specific molecules that can be accurately measured by reverse transcription-quantitative polymerase chain reaction (RT-qPCR). This chapter critically reviews miRNAs and circRNAs as diagnostic biomarkers and therapeutics to differentiate atypical parkinsonian disorders and their role in disease pathogenesis.
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Affiliation(s)
- Anastasia Bougea
- 1st Department of Neurology, Medical School, Aeginition Hospital, National and Kapodistrian University of Athens, Athens, Greece.
| | - Leonidas Stefanis
- 1st Department of Neurology, Medical School, Aeginition Hospital, National and Kapodistrian University of Athens, Athens, Greece
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Li W, Shen J, Wu H, Lin L, Liu Y, Pei Z, Liu G. Transcriptome Analysis Reveals a Two-Gene Signature Links to Motor Progression and Alterations of Immune Cells in Parkinson's Disease. JOURNAL OF PARKINSON'S DISEASE 2023; 13:25-38. [PMID: 36591658 PMCID: PMC9912738 DOI: 10.3233/jpd-223454] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
BACKGROUND The motor impairment in Parkinson's disease (PD) can be managed but effective treatments for stopping or slowing the disease process are lacking. The advent of transcriptomics studies in PD shed light on the development of promising measures to predict disease progression and discover novel therapeutic strategies. OBJECTIVE To reveal the potential role of transcripts in the motor impairment progression of patients with PD via transcriptome analysis. METHODS We separately analyzed the differentially expressed genes (DEGs) between PD cases and healthy controls in two cohorts using whole blood bulk transcriptome data. Based on the intersection of DEGs, we established a prognostic signature by regularized regression and Cox proportional hazards analysis. We further performed immune cell analysis and single-cell RNA sequencing analysis to study the biological features of this signature. RESULTS We identified a two-gene-based prognostic signature that links to PD motor progression and the two-gene signature-derived risk score was associated with several types of immune cells in blood. Notably, the fraction of neutrophils increased 5% and CD4+ T cells decreased 7% in patients with high-risk scores compared to that in patients with low-risk scores, suggesting these two types of immune cells might play key roles in the prognosis of PD. We also observed the downregulated genes in PD patients with high-risk scores that enriched in PD-associated pathways from iPSC-derived dopaminergic neurons single-cell RNA sequencing analysis. CONCLUSION We identified a two-gene signature linked to the motor progression in PD, which provides new insights into the motor prognosis of PD.
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Affiliation(s)
- Weimin Li
- Neurobiology Research Center, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, China,Shenzhen Key Laboratory of Systems Medicine in Inflammatory Diseases, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Jiaqi Shen
- Neurobiology Research Center, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, China,Shenzhen Key Laboratory of Systems Medicine in Inflammatory Diseases, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Hao Wu
- Neurobiology Research Center, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, China,Shenzhen Key Laboratory of Systems Medicine in Inflammatory Diseases, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Lishan Lin
- Department of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Yanmei Liu
- Department of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Zhong Pei
- Department of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Ganqiang Liu
- Neurobiology Research Center, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, China,Shenzhen Key Laboratory of Systems Medicine in Inflammatory Diseases, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, China,Correspondence to: Ganqiang Liu, PhD, School of Medicine, Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen, Guangdong, 518107, China. Tel.: +86 13695956858; E-mail:
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Differential serum microRNAs in premotor LRRK2 G2019S carriers from Parkinson's disease. NPJ Parkinsons Dis 2023; 9:15. [PMID: 36732514 PMCID: PMC9894906 DOI: 10.1038/s41531-023-00451-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Accepted: 01/09/2023] [Indexed: 02/04/2023] Open
Abstract
The LRRK2 G2019S pathogenic mutation causes LRRK2-associated Parkinson's disease (L2PD) with incomplete penetrance. LRRK2 non-manifesting carriers (L2NMC) are at PD high risk but predicting pheno-conversion is challenging given the lack of progression biomarkers. To investigate novel biomarkers for PD premotor stages, we performed a longitudinal microRNA (miRNA) assessment of serum samples from G2019S L2NMC followed-up over 8 years. Our cohort consisted of G2019S L2NMC stratified by dopamine transporter single-photon emission computed tomography (DaT-SPECT) into DaT-negative (n = 20) and DaT-positive L2NMC (n = 20), pheno-converted G2019S L2PD patients (n = 20), idiopathic PD (iPD) (n = 19), and controls (n = 40). We also screened a second cohort of L2PD patients (n = 19) and controls (n = 20) (Total n = 158). Compared to healthy controls, we identified eight deregulated miRNAs in DaT-negative L2NMC, six in DaT-positive L2NMC, and one in L2PD. Between groups, the highest miRNA differences, 24 candidate miRNAs, occurred between DaT-positive L2NMC and L2PD. Longitudinally, we found 11 common miRNAs with sustained variation in DaT-negative and DaT-positive L2NMCs compared to their baselines. Our study identifies novel miRNA alterations in premotor stages of PD co-occurring with progressive DaT-SPECT decline before motor manifestation, whose deregulation seems to attenuate after the diagnosis of L2PD. Moreover, we identified four miRNAs with relatively high discriminative ability (AUC = 0.82) between non-pheno-converted DaT-positive G2019S carriers and pheno-converted L2PD patients (miR-4505, miR-8069, miR-6125, and miR-451a), which hold potential as early progression biomarkers for PD.
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Hartz P, Fehlmann T, Wagenpfeil G, Unger MM, Bernhardt R. A CYPome-wide study reveals new potential players in the pathogenesis of Parkinson's disease. Front Pharmacol 2023; 13:1094265. [PMID: 36744208 PMCID: PMC9892771 DOI: 10.3389/fphar.2022.1094265] [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: 11/09/2022] [Accepted: 12/22/2022] [Indexed: 01/20/2023] Open
Abstract
Genetic and environmental factors lead to the manifestation of Parkinson's disease (PD) but related mechanisms are only rudimentarily understood. Cytochromes P450 (P450s) are involved in the biotransformation of toxic compounds and in many physiological processes and thus predestinated to be involved in PD. However, so far only SNPs (single nucleotide polymorphisms) in CYP2D6 and CYP2E1 have been associated with the susceptibility of PD. Our aim was to evaluate the role of all 57 human P450s and their redox partners for the etiology and pathophysiology of PD and to identify novel potential players which may lead to the identification of new biomarkers and to a causative treatment of PD. The PPMI (Parkinson's Progression Markers Initiative) database was used to extract the gene sequences of all 57 P450s and their three redox partners to analyze the association of SNPs with the occurrence of PD. Applying statistical analyses of the data, corresponding odds ratios (OR) and confidence intervals (CI) were calculated. We identified SNPs significantly over-represented in patients with a genetic predisposition for PD (GPD patients) or in idiopathic PD (IPD patients) compared to HC (healthy controls). Xenobiotic-metabolizing P450s show a significant accumulation of SNPs in PD patients compared with HC supporting the role of toxic compounds in the pathogenesis of PD. Moreover, SNPs with high OR values (>5) in P450s catalyzing the degradation of cholesterol (CYP46A1, CY7B1, CYP39A1) indicate a prominent role of cholesterol metabolism in the brain for PD risk. Finally, P450s participating in the metabolism of eicosanoids show a strong over-representation of SNPs in PD patients underlining the effect of inflammation on the pathogenesis of PD. Also, the redox partners of P450 show SNPs with OR > 5 in PD patients. Taken together, we demonstrate that SNPs in 26 out of 57 P450s are at least 5-fold over-represented in PD patients suggesting these P450s as new potential players in the pathogenesis of PD. For the first time exceptionally high OR values (up to 12.9) were found. This will lead to deeper insight into the origin and development of PD and may be applied to develop novel strategies for a causative treatment of this disease.
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Affiliation(s)
- Philip Hartz
- Institut für Biochemie, Fachbereich Biologie, Universität des Saarlandes, Naturwissenschaftlich-Technische Fakultät, Saarbrücken, Germany
| | - Tobias Fehlmann
- Institut für Klinische Bioinformatik, Universität des Saarlandes, Saarbrücken, Germany
| | - Gudrun Wagenpfeil
- Institut für Medizinische Biometrie, Epidemiologie und Medizinische Informatik, Universität des Saarlandes, Homburg, Germany
| | - Marcus Michael Unger
- KLinik für Neurologie, Fachbereich Klinische Medizin, Universität des Saarlandes, Homburg, Germany,Klinik für Neurologie, SHG Kliniken Sonnenberg, Saarbrücken, Germany,*Correspondence: Marcus Michael Unger, ; Rita Bernhardt,
| | - Rita Bernhardt
- Institut für Biochemie, Fachbereich Biologie, Universität des Saarlandes, Naturwissenschaftlich-Technische Fakultät, Saarbrücken, Germany,*Correspondence: Marcus Michael Unger, ; Rita Bernhardt,
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Abu-Halima M, Keller A, Becker LS, Fischer U, Engel A, Ludwig N, Kern F, Rounge TB, Langseth H, Meese E, Keller V. Dynamic and static circulating cancer microRNA biomarkers - a validation study. RNA Biol 2023; 20:1-9. [PMID: 36511578 PMCID: PMC9754110 DOI: 10.1080/15476286.2022.2154470] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Revised: 11/14/2022] [Accepted: 11/28/2022] [Indexed: 12/15/2022] Open
Abstract
For cancers and other pathologies, early diagnosis remains the most promising path to survival. Profiling of longitudinal cohorts facilitates insights into trajectories of biomarkers. We measured microRNA expression in 240 serum samples from patients with colon, lung, and breast cancer and from cancer-free controls. Each patient provided at least two serum samples, one prior to diagnosis and one following diagnosis. The median time interval between the samples was 11.6 years. Using computational models, we evaluated the circulating profiles of 21 microRNAs. The analysis yielded two sets of biomarkers, static ones that show an absolute difference between certain cancer types and controls and dynamic ones where the level over time provided higher diagnostic information content. In the first group, miR-99a-5p stands out for all three cancer types. In the second group, miR-155-5p allows to predict lung cancers and colon cancers. Classification in samples from cancer and non-cancer patients using gradient boosted trees reached an average accuracy of 79.9%. The results suggest that individual change over time or an absolute value at one time point may predict a disease with high specificity and sensitivity.
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Affiliation(s)
- Masood Abu-Halima
- Institute of Human Genetics, Saarland University, Homburg, Germany
- These authors contributed equally to the study
| | - Andreas Keller
- These authors contributed equally to the study
- Helmholtz Institute for Pharmaceutical Research Saarland (HIPS), Helmholtz Center for Infection Research, Saarland University Campus, Saarbrücken, Germany
- Helmholtz Institute for Pharmaceutical Research Saar, Saarbrücken, Germany
| | | | - Ulrike Fischer
- Institute of Human Genetics, Saarland University, Homburg, Germany
| | - Annika Engel
- Helmholtz Institute for Pharmaceutical Research Saarland (HIPS), Helmholtz Center for Infection Research, Saarland University Campus, Saarbrücken, Germany
| | - Nicole Ludwig
- Institute of Human Genetics, Saarland University, Homburg, Germany
| | - Fabian Kern
- Helmholtz Institute for Pharmaceutical Research Saarland (HIPS), Helmholtz Center for Infection Research, Saarland University Campus, Saarbrücken, Germany
- Helmholtz Institute for Pharmaceutical Research Saar, Saarbrücken, Germany
| | - Trine B. Rounge
- Department of Research, Cancer Registry of Norway, Norway
- Centre for Bioinformatics, Department of Pharmacy, University of Oslo, Norway
| | - Hilde Langseth
- Department of Research, Cancer Registry of Norway, Norway
- Department of Internal Medicine, Saarland University, Homburg, Germany
| | - Eckart Meese
- Institute of Human Genetics, Saarland University, Homburg, Germany
| | - Verena Keller
- Helmholtz Institute for Pharmaceutical Research Saarland (HIPS), Helmholtz Center for Infection Research, Saarland University Campus, Saarbrücken, Germany
- Internal Medicine, Saarland University, Homburg, Germany
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Kern F, Kuhn T, Ludwig N, Simon M, Gröger L, Fabis N, Aparicio-Puerta E, Salhab A, Fehlmann T, Hahn O, Engel A, Wagner V, Koch M, Winek K, Soreq H, Nazarenko I, Fuhrmann G, Wyss-Coray T, Meese E, Keller V, Laschke MW, Keller A. Ageing-associated small RNA cargo of extracellular vesicles. RNA Biol 2023; 20:482-494. [PMID: 37498213 PMCID: PMC10376918 DOI: 10.1080/15476286.2023.2234713] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Revised: 06/06/2023] [Accepted: 06/09/2023] [Indexed: 07/28/2023] Open
Abstract
Previous work on murine models and humans demonstrated global as well as tissue-specific molecular ageing trajectories of RNAs. Extracellular vesicles (EVs) are membrane vesicles mediating the horizontal transfer of genetic information between different tissues. We sequenced small regulatory RNAs (sncRNAs) in two mouse plasma fractions at five time points across the lifespan from 2-18 months: (1) sncRNAs that are free-circulating (fc-RNA) and (2) sncRNAs bound outside or inside EVs (EV-RNA). Different sncRNA classes exhibit unique ageing patterns that vary between the fcRNA and EV-RNA fractions. While tRNAs showed the highest correlation with ageing in both fractions, rRNAs exhibited inverse correlation trajectories between the EV- and fc-fractions. For miRNAs, the EV-RNA fraction was exceptionally strongly associated with ageing, especially the miR-29 family in adipose tissues. Sequencing of sncRNAs and coding genes in fat tissue of an independent cohort of aged mice up to 27 months highlighted the pivotal role of miR-29a-3p and miR-29b-3p in ageing-related gene regulation that we validated in a third cohort by RT-qPCR.
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Affiliation(s)
- Fabian Kern
- Chair for Clinical Bioinformatics, Saarland Informatics Campus, Saarland University, Saarbrücken, Germany
- Helmholtz-Institute for Pharmaceutical Research Saarland (HIPS), Helmholtz-Centre for Infection Research (HZI), Department for Clinical Bioinformatics, Saarbrücken, Germany
| | - Thomas Kuhn
- Helmholtz-Institute for Pharmaceutical Research Saarland (HIPS), Helmholtz-Centre for Infection Research (HZI), Biogenic Nanotherapeutics Group (BION), Saarbrücken, Germany
- Department of Pharmacy, Saarland University, Saarbrücken, Germany
| | - Nicole Ludwig
- Department of Human Genetics, Saarland University, Homburg, Germany
- Center for Human and Molecular Biology, Saarland University, Homburg, Germany
| | - Martin Simon
- Molecular Cell Biology and Microbiology, Wuppertal University, Wuppertal, Germany
| | - Laura Gröger
- Department of Human Genetics, Saarland University, Homburg, Germany
| | - Natalie Fabis
- Molecular Cell Biology and Microbiology, Wuppertal University, Wuppertal, Germany
| | - Ernesto Aparicio-Puerta
- Chair for Clinical Bioinformatics, Saarland Informatics Campus, Saarland University, Saarbrücken, Germany
| | - Abdulrahman Salhab
- Department of Genetics and Epigenetics, Saarland University, Saarbrücken, Germany
| | - Tobias Fehlmann
- Chair for Clinical Bioinformatics, Saarland Informatics Campus, Saarland University, Saarbrücken, Germany
| | - Oliver Hahn
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, USA
| | - Annika Engel
- Chair for Clinical Bioinformatics, Saarland Informatics Campus, Saarland University, Saarbrücken, Germany
| | - Viktoria Wagner
- Chair for Clinical Bioinformatics, Saarland Informatics Campus, Saarland University, Saarbrücken, Germany
| | - Marcus Koch
- INM - Leibniz Institute for New Materials, Saarbrücken, Germany
| | - Katarzyna Winek
- The Edmond and Lily Safra Center for Brain Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Hermona Soreq
- The Edmond and Lily Safra Center for Brain Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Irina Nazarenko
- Faculty of Medicine, Institute for Infection Prevention and Control; Medical Center - University of Freiburg, Freiburg, Germany
| | - Gregor Fuhrmann
- Helmholtz-Institute for Pharmaceutical Research Saarland (HIPS), Helmholtz-Centre for Infection Research (HZI), Biogenic Nanotherapeutics Group (BION), Saarbrücken, Germany
- Department of Pharmacy, Saarland University, Saarbrücken, Germany
| | - Tony Wyss-Coray
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, USA
| | - Eckart Meese
- Department of Human Genetics, Saarland University, Homburg, Germany
| | - Verena Keller
- Chair for Clinical Bioinformatics, Saarland Informatics Campus, Saarland University, Saarbrücken, Germany
| | - Matthias W Laschke
- Institute for Clinical and Experimental Surgery, Saarland University, Homburg, Germany
| | - Andreas Keller
- Chair for Clinical Bioinformatics, Saarland Informatics Campus, Saarland University, Saarbrücken, Germany
- Helmholtz-Institute for Pharmaceutical Research Saarland (HIPS), Helmholtz-Centre for Infection Research (HZI), Department for Clinical Bioinformatics, Saarbrücken, Germany
- Center for Bioinformatics, Saarland University, Saarbrücken, Germany
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Velasquez-Camacho L, Otero M, Basile B, Pijuan J, Corrado G. Current Trends and Perspectives on Predictive Models for Mildew Diseases in Vineyards. Microorganisms 2022; 11:microorganisms11010073. [PMID: 36677365 PMCID: PMC9866057 DOI: 10.3390/microorganisms11010073] [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: 11/26/2022] [Revised: 12/19/2022] [Accepted: 12/20/2022] [Indexed: 12/29/2022] Open
Abstract
Environmental and economic costs demand a rapid transition to more sustainable farming systems, which are still heavily dependent on chemicals for crop protection. Despite their widespread application, powdery mildew (PM) and downy mildew (DM) continue to generate serious economic penalties for grape and wine production. To reduce these losses and minimize environmental impacts, it is important to predict infections with high confidence and accuracy, allowing timely and efficient intervention. This review provides an appraisal of the predictive tools for PM and DM in a vineyard, a specialized farming system characterized by high crop protection cost and increasing adoption of precision agriculture techniques. Different methodological approaches, from traditional mechanistic or statistic models to machine and deep learning, are outlined with their main features, potential, and constraints. Our analysis indicated that strategies are being continuously developed to achieve the required goals of ease of monitoring and timely prediction of diseases. We also discuss that scientific and technological advances (e.g., in weather data, omics, digital solutions, sensing devices, data science) still need to be fully harnessed, not only for modelling plant-pathogen interaction but also to develop novel, integrated, and robust predictive systems and related applied technologies. We conclude by identifying key challenges and perspectives for predictive modelling of phytopathogenic disease in vineyards.
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Affiliation(s)
- Luisa Velasquez-Camacho
- Eurecat, Centre Tecnològic de Catalunya, Unit of Applied Artificial Intelligence, 08005 Barcelona, Spain
- Department of Crop and Forest Sciences, University of Lleida, 25199 Lleida, Spain
| | - Marta Otero
- Eurecat, Centre Tecnològic de Catalunya, Unit of Applied Artificial Intelligence, 08005 Barcelona, Spain
| | - Boris Basile
- Department of Agricultural Sciences, University of Naples Federico II, 80055 Naples, Italy
- Correspondence: (B.B.); (G.C.)
| | - Josep Pijuan
- Eurecat, Centre Tecnològic de Catalunya, Unit of Applied Artificial Intelligence, 08005 Barcelona, Spain
| | - Giandomenico Corrado
- Department of Agricultural Sciences, University of Naples Federico II, 80055 Naples, Italy
- Correspondence: (B.B.); (G.C.)
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Soto M, Iranzo A, Lahoz S, Fernández M, Serradell M, Gaig C, Melón P, Martí M, Santamaría J, Camps J, Fernández‐Santiago R, Ezquerra M. Serum MicroRNAs Predict Isolated Rapid Eye Movement Sleep Behavior Disorder and Lewy Body Diseases. Mov Disord 2022; 37:2086-2098. [PMID: 35962561 PMCID: PMC9804841 DOI: 10.1002/mds.29171] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 06/09/2022] [Accepted: 07/10/2022] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND Isolated rapid eye movement sleep behavior disorder (IRBD) is a well-established clinical risk factor for Lewy body diseases (LBDs), such as Parkinson's disease (PD) and dementia with Lewy bodies (DLB). OBJECTIVE To elucidate whether serum microRNA (miRNA) deregulation in IRBD can antedate the diagnosis of LBD by performing a longitudinal study in different progression stages of IRBD before and after LBD diagnosis and assessing the predictive performance of differentially expressed miRNAs by machine learning-based modeling. METHODS Using genome-wide miRNA analysis and real-time quantitative polymerase chain reaction validation, we assessed serum miRNA profiles from patients with IRBD stratified by dopamine transporter (DaT) single-photon emission computed tomography into DaT-negative IRBD (n = 17) and DaT-positive IRBD (n = 21), IRBD phenoconverted into LBD (n = 13), and controls (n = 20). Longitudinally, we followed up the IRBD cohort by studying three time point serum samples over 26 months. RESULTS We found sustained cross-sectional and longitudinal deregulation of 12 miRNAs across the RBD continuum, including DaT-negative IRBD, DaT-positive IRBD, and LBD phenoconverted IRBD (let-7c-5p, miR-19b-3p, miR-140, miR-22-3p, miR-221-3p, miR-24-3p, miR-25-3p, miR-29c-3p, miR-361-5p, miR-425-5p, miR-4505, and miR-451a) (false discovery rate P < 0.05). Age- and sex-adjusted predictive modeling based on the 12 differentially expressed miRNA biosignatures discriminated IRBD and PD or DLB from controls with an area under the curve of 98% (95% confidence interval: 89-99%). CONCLUSIONS Besides clinical diagnosis of IRBD or imaging markers such as DaT single-photon emission computed tomography, specific miRNA biosignatures alone hold promise as progression biomarkers for patients with IRBD for predicting PD and DLB clinical outcomes. Further miRNA studies in other PD at-risk populations, such as LRRK2 mutation asymptomatic carriers or hyposmic subjects, are warranted. © 2022 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Marta Soto
- Laboratory of Parkinson Disease and Other Neurodegenerative Movement Disorders, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)‐Hospital Clínic de BarcelonaUniversity of BarcelonaBarcelonaSpain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED)BarcelonaSpain
| | - Alex Iranzo
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED)BarcelonaSpain
- Sleep Center, Department of Neurology, Hospital Clínic de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)University of BarcelonaBarcelonaSpain
| | - Sara Lahoz
- Gastrointestinal and Pancreatic Oncology Team, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)‐Hospital Clínic de BarcelonaBarcelonaSpain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd)MadridSpain
| | - Manel Fernández
- Laboratory of Parkinson Disease and Other Neurodegenerative Movement Disorders, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)‐Hospital Clínic de BarcelonaUniversity of BarcelonaBarcelonaSpain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED)BarcelonaSpain
| | - Mónica Serradell
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED)BarcelonaSpain
- Sleep Center, Department of Neurology, Hospital Clínic de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)University of BarcelonaBarcelonaSpain
| | - Carles Gaig
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED)BarcelonaSpain
- Sleep Center, Department of Neurology, Hospital Clínic de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)University of BarcelonaBarcelonaSpain
| | - Paula Melón
- Laboratory of Parkinson Disease and Other Neurodegenerative Movement Disorders, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)‐Hospital Clínic de BarcelonaUniversity of BarcelonaBarcelonaSpain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED)BarcelonaSpain
| | - Maria‐Jose Martí
- Laboratory of Parkinson Disease and Other Neurodegenerative Movement Disorders, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)‐Hospital Clínic de BarcelonaUniversity of BarcelonaBarcelonaSpain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED)BarcelonaSpain
- Movement Disorders Unit, Department of Neurology, Hospital Clínic de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)University of BarcelonaBarcelonaSpain
| | - Joan Santamaría
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED)BarcelonaSpain
- Sleep Center, Department of Neurology, Hospital Clínic de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)University of BarcelonaBarcelonaSpain
| | - Jordi Camps
- Gastrointestinal and Pancreatic Oncology Team, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)‐Hospital Clínic de BarcelonaBarcelonaSpain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd)MadridSpain
| | - Rubén Fernández‐Santiago
- Laboratory of Parkinson Disease and Other Neurodegenerative Movement Disorders, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)‐Hospital Clínic de BarcelonaUniversity of BarcelonaBarcelonaSpain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED)BarcelonaSpain
| | - Mario Ezquerra
- Laboratory of Parkinson Disease and Other Neurodegenerative Movement Disorders, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)‐Hospital Clínic de BarcelonaUniversity of BarcelonaBarcelonaSpain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED)BarcelonaSpain
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Tönges L, Buhmann C, Klebe S, Klucken J, Kwon EH, Müller T, Pedrosa DJ, Schröter N, Riederer P, Lingor P. Blood-based biomarker in Parkinson's disease: potential for future applications in clinical research and practice. J Neural Transm (Vienna) 2022; 129:1201-1217. [PMID: 35428925 PMCID: PMC9463345 DOI: 10.1007/s00702-022-02498-1] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Accepted: 03/27/2022] [Indexed: 12/12/2022]
Abstract
The clinical presentation of Parkinson's disease (PD) is both complex and heterogeneous, and its precise classification often requires an intensive work-up. The differential diagnosis, assessment of disease progression, evaluation of therapeutic responses, or identification of PD subtypes frequently remains uncertain from a clinical point of view. Various tissue- and fluid-based biomarkers are currently being investigated to improve the description of PD. From a clinician's perspective, signatures from blood that are relatively easy to obtain would have great potential for use in clinical practice if they fulfill the necessary requirements as PD biomarker. In this review article, we summarize the knowledge on blood-based PD biomarkers and present both a researcher's and a clinician's perspective on recent developments and potential future applications.
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Affiliation(s)
- Lars Tönges
- Department of Neurology, Ruhr-University Bochum, St. Josef Hospital, Gudrunstr. 56, 44791, Bochum, Germany.
- Center for Protein Diagnostics (ProDi), Ruhr University Bochum, 44801, Bochum, Nordrhein-Westfalen, Germany.
| | - Carsten Buhmann
- Department of Neurology, University Medical Center Hamburg-Eppendorf, 20246, Hamburg, Germany
| | - Stephan Klebe
- Department of Neurology, University Hospital Essen, 45147, Essen, Germany
| | - Jochen Klucken
- Department of Digital Medicine, University Luxembourg, LCSB, L-4367, Belval, Luxembourg
- Digital Medicine Research Group, Luxembourg Institute of Health, L-1445, Strassen, Luxembourg
- Centre Hospitalier de Luxembourg, Digital Medicine Research Clinic, L-1210, Luxembourg, Luxembourg
| | - Eun Hae Kwon
- Department of Neurology, Ruhr-University Bochum, St. Josef Hospital, Gudrunstr. 56, 44791, Bochum, Germany
| | - Thomas Müller
- Department of Neurology, St. Joseph Hospital Berlin-Weissensee, 13088, Berlin, Germany
| | - David J Pedrosa
- Department of Neurology, Universitätsklinikum Gießen and Marburg, Marburg Site, 35043, Marburg, Germany
- Center of Mind, Brain and Behaviour (CMBB), Philipps-Universität Marburg, 35043, Marburg, Germany
| | - Nils Schröter
- Department of Neurology and Clinical Neuroscience, University of Freiburg, 79106, Freiburg, Germany
| | - Peter Riederer
- Psychosomatics and Psychotherapy, University Hospital Wuerzburg, Clinic and Policlinic for Psychiatry, 97080, Wuerzburg, Germany
- University of Southern Denmark Odense, 5000, Odense, Denmark
| | - Paul Lingor
- School of Medicine, Klinikum Rechts Der Isar, Department of Neurology, Technical University of Munich, 81675, München, Germany
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19
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Zago E, Dal Molin A, Dimitri GM, Xumerle L, Pirazzini C, Bacalini MG, Maturo MG, Azevedo T, Spasov S, Gómez-Garre P, Periñán MT, Jesús S, Baldelli L, Sambati L, Calandra-Buonaura G, Garagnani P, Provini F, Cortelli P, Mir P, Trenkwalder C, Mollenhauer B, Franceschi C, Liò P, Nardini C. Early downregulation of hsa-miR-144-3p in serum from drug-naïve Parkinson's disease patients. Sci Rep 2022; 12:1330. [PMID: 35079043 PMCID: PMC8789812 DOI: 10.1038/s41598-022-05227-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Accepted: 12/28/2021] [Indexed: 12/18/2022] Open
Abstract
Advanced age represents one of the major risk factors for Parkinson's Disease. Recent biomedical studies posit a role for microRNAs, also known to be remodelled during ageing. However, the relationship between microRNA remodelling and ageing in Parkinson's Disease, has not been fully elucidated. Therefore, the aim of the present study is to unravel the relevance of microRNAs as biomarkers of Parkinson's Disease within the ageing framework. We employed Next Generation Sequencing to profile serum microRNAs from samples informative for Parkinson's Disease (recently diagnosed, drug-naïve) and healthy ageing (centenarians) plus healthy controls, age-matched with Parkinson's Disease patients. Potential microRNA candidates markers, emerging from the combination of differential expression and network analyses, were further validated in an independent cohort including both drug-naïve and advanced Parkinson's Disease patients, and healthy siblings of Parkinson's Disease patients at higher genetic risk for developing the disease. While we did not find evidences of microRNAs co-regulated in Parkinson's Disease and ageing, we report that hsa-miR-144-3p is consistently down-regulated in early Parkinson's Disease patients. Moreover, interestingly, functional analysis revealed that hsa-miR-144-3p is involved in the regulation of coagulation, a process known to be altered in Parkinson's Disease. Our results consistently show the down-regulation of hsa-mir144-3p in early Parkinson's Disease, robustly confirmed across a variety of analytical and experimental analyses. These promising results ask for further research to unveil the functional details of the involvement of hsa-mir144-3p in Parkinson's Disease.
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Affiliation(s)
| | | | - Giovanna Maria Dimitri
- Computer Laboratory, Department of Computer Science and Technology, University of Cambridge, Cambridge, UK
| | | | - Chiara Pirazzini
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | | | - Maria Giovanna Maturo
- Personal Genomics S.R.L., Verona, Italy
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - Tiago Azevedo
- Computer Laboratory, Department of Computer Science and Technology, University of Cambridge, Cambridge, UK
| | - Simeon Spasov
- Computer Laboratory, Department of Computer Science and Technology, University of Cambridge, Cambridge, UK
| | - Pilar Gómez-Garre
- Unidad de Trastornos del Movimiento, Servicio de Neurología y Neurofisiología Clínica, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville, Spain
- Centro de Investigación Biomédica en Red Sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - María Teresa Periñán
- Unidad de Trastornos del Movimiento, Servicio de Neurología y Neurofisiología Clínica, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville, Spain
- Centro de Investigación Biomédica en Red Sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Silvia Jesús
- Unidad de Trastornos del Movimiento, Servicio de Neurología y Neurofisiología Clínica, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville, Spain
- Centro de Investigación Biomédica en Red Sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Luca Baldelli
- Department of Biomedical and NeuroMotor Sciences (DiBiNeM), University of Bologna, Bologna, Italy
| | - Luisa Sambati
- Department of Biomedical and NeuroMotor Sciences (DiBiNeM), University of Bologna, Bologna, Italy
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Giovanna Calandra-Buonaura
- Department of Biomedical and NeuroMotor Sciences (DiBiNeM), University of Bologna, Bologna, Italy
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Paolo Garagnani
- Department of Experimental, Diagnostic, and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy
- Clinical Chemistry, Department of Laboratory Medicine, Karolinska Institutet at Huddinge University Hospital, Stockholm, Sweden
- Alma Mater Research Institute on Global Challenges and Climate Change (Alma Climate), University of Bologna, Bologna, Italy
| | - Federica Provini
- Department of Biomedical and NeuroMotor Sciences (DiBiNeM), University of Bologna, Bologna, Italy
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Pietro Cortelli
- Department of Biomedical and NeuroMotor Sciences (DiBiNeM), University of Bologna, Bologna, Italy
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Pablo Mir
- Unidad de Trastornos del Movimiento, Servicio de Neurología y Neurofisiología Clínica, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville, Spain
- Centro de Investigación Biomédica en Red Sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
- Departamento de Medicina, Facultad de Medicina, Universidad de Sevilla, Seville, Spain
| | - Claudia Trenkwalder
- Paracelsus-Elena-Klinik, Kliniktstrasse 16, 34128, Kassel, Germany
- Department of Neurosurgery, University Medical Center Göttingen, Göttingen, Germany
| | - Brit Mollenhauer
- Paracelsus-Elena-Klinik, Kliniktstrasse 16, 34128, Kassel, Germany
- Department of Neurology, University Medical Center Göttingen, Göttingen, Germany
| | - Claudio Franceschi
- Institute of Information Technologies, Mathematics and Mechanics, Lobachevsky University, Nizhny Novgorod, Russia.
| | - Pietro Liò
- Computer Laboratory, Department of Computer Science and Technology, University of Cambridge, Cambridge, UK
| | - Christine Nardini
- Personal Genomics S.R.L., Verona, Italy.
- Consiglio Nazionale delle Ricerche, Istituto per le Applicazioni del Calcolo "Mauro Picone", 00185, Rome, Italy.
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20
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Kuo MC, Liu SCH, Hsu YF, Wu RM. The role of noncoding RNAs in Parkinson's disease: biomarkers and associations with pathogenic pathways. J Biomed Sci 2021; 28:78. [PMID: 34794432 PMCID: PMC8603508 DOI: 10.1186/s12929-021-00775-x] [Citation(s) in RCA: 46] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2021] [Accepted: 11/04/2021] [Indexed: 02/08/2023] Open
Abstract
The discovery of various noncoding RNAs (ncRNAs) and their biological implications is a growing area in cell biology. Increasing evidence has revealed canonical and noncanonical functions of long and small ncRNAs, including microRNAs, long ncRNAs (lncRNAs), circular RNAs, PIWI-interacting RNAs, and tRNA-derived fragments. These ncRNAs have the ability to regulate gene expression and modify metabolic pathways. Thus, they may have important roles as diagnostic biomarkers or therapeutic targets in various diseases, including neurodegenerative disorders, especially Parkinson's disease. Recently, through diverse sequencing technologies and a wide variety of bioinformatic analytical tools, such as reverse transcriptase quantitative PCR, microarrays, next-generation sequencing and long-read sequencing, numerous ncRNAs have been shown to be associated with neurodegenerative disorders, including Parkinson's disease. In this review article, we will first introduce the biogenesis of different ncRNAs, including microRNAs, PIWI-interacting RNAs, circular RNAs, long noncoding RNAs, and tRNA-derived fragments. The pros and cons of the detection platforms of ncRNAs and the reproducibility of bioinformatic analytical tools will be discussed in the second part. Finally, the recent discovery of numerous PD-associated ncRNAs and their association with the diagnosis and pathophysiology of PD are reviewed, and microRNAs and long ncRNAs that are transported by exosomes in biofluids are particularly emphasized.
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Affiliation(s)
- Ming-Che Kuo
- Department of Medicine, Section of Neurology, Cancer Center, National Taiwan University Hospital, Taipei, Taiwan
- Department of Neurology, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Sam Chi-Hao Liu
- Department of Neurology, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Ya-Fang Hsu
- Graduate Institute of Brain and Mind Sciences, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Ruey-Meei Wu
- Department of Neurology, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei, Taiwan.
- Graduate Institute of Brain and Mind Sciences, College of Medicine, National Taiwan University, Taipei, Taiwan.
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21
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Micheel J, Safrastyan A, Wollny D. Advances in Non-Coding RNA Sequencing. Noncoding RNA 2021; 7:70. [PMID: 34842804 PMCID: PMC8628893 DOI: 10.3390/ncrna7040070] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 10/22/2021] [Accepted: 10/26/2021] [Indexed: 12/11/2022] Open
Abstract
Non-coding RNAs (ncRNAs) comprise a set of abundant and functionally diverse RNA molecules. Since the discovery of the first ncRNA in the 1960s, ncRNAs have been shown to be involved in nearly all steps of the central dogma of molecular biology. In recent years, the pace of discovery of novel ncRNAs and their cellular roles has been greatly accelerated by high-throughput sequencing. Advances in sequencing technology, library preparation protocols as well as computational biology helped to greatly expand our knowledge of which ncRNAs exist throughout the kingdoms of life. Moreover, RNA sequencing revealed crucial roles of many ncRNAs in human health and disease. In this review, we discuss the most recent methodological advancements in the rapidly evolving field of high-throughput sequencing and how it has greatly expanded our understanding of ncRNA biology across a large number of different organisms.
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Affiliation(s)
| | | | - Damian Wollny
- RNA Bioinformatics/High Throughput Analysis, Faculty of Mathematics and Computer Science, Friedrich Schiller University, 07743 Jena, Germany; (J.M.); (A.S.)
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22
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Craig DW, Hutchins E, Violich I, Alsop E, Gibbs JR, Levy S, Robison M, Prasad N, Foroud T, Crawford KL, Toga AW, Whitsett TG, Kim S, Casey B, Reimer A, Hutten SJ, Frasier M, Kern F, Fehlman T, Keller A, Cookson MR, Van Keuren-Jensen K. RNA sequencing of whole blood reveals early alterations in immune cells and gene expression in Parkinson's disease. NATURE AGING 2021; 1:734-747. [PMID: 37117765 DOI: 10.1038/s43587-021-00088-6] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Accepted: 06/21/2021] [Indexed: 04/30/2023]
Abstract
Changes in the blood-based RNA transcriptome have the potential to inform biomarkers of Parkinson's disease (PD) progression. Here we sequenced a discovery set of whole-blood RNA species in 4,871 longitudinally collected samples from 1,570 clinically phenotyped individuals from the Parkinson's Progression Marker Initiative (PPMI) cohort. Samples were sequenced to an average of 100 million read pairs to create a high-quality transcriptome. Participants with PD in the PPMI had significantly altered RNA expression (>2,000 differentially expressed genes), including an early and persistent increase in neutrophil gene expression, with a concomitant decrease in lymphocyte cell counts. This was validated in a cohort from the Parkinson's Disease Biomarkers Program (PDBP) consisting of 1,599 participants and by alterations in immune cell subtypes. This publicly available transcriptomic dataset, coupled with available detailed clinical data, provides new insights into PD biological processes impacting whole blood and new paths for developing diagnostic and prognostic PD biomarkers.
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Affiliation(s)
- David W Craig
- Institute of Translational Genomics, University of Southern California, Los Angeles, CA, USA
| | - Elizabeth Hutchins
- Neurogenomics Division, Translational Genomics Research Institute (TGen), Phoenix, AZ, USA
| | - Ivo Violich
- Institute of Translational Genomics, University of Southern California, Los Angeles, CA, USA
| | - Eric Alsop
- Neurogenomics Division, Translational Genomics Research Institute (TGen), Phoenix, AZ, USA
| | - J Raphael Gibbs
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Shawn Levy
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
| | - Madison Robison
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
| | - Nripesh Prasad
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
| | | | - Karen L Crawford
- Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA
| | - Arthur W Toga
- Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA
| | - Timothy G Whitsett
- Neurogenomics Division, Translational Genomics Research Institute (TGen), Phoenix, AZ, USA
| | - Seungchan Kim
- Center for Computational Systems Biology, Department of Electrical and Computer Engineering, Roy G. Perry College of Engineering, Prairie View A&M University, Prairie View, TX, USA
| | - Bradford Casey
- The Michael J. Fox Foundation for Parkinson's Research, New York, NY, USA
| | - Alyssa Reimer
- The Michael J. Fox Foundation for Parkinson's Research, New York, NY, USA
| | - Samantha J Hutten
- The Michael J. Fox Foundation for Parkinson's Research, New York, NY, USA
| | - Mark Frasier
- The Michael J. Fox Foundation for Parkinson's Research, New York, NY, USA
| | - Fabian Kern
- Chair for Clinical Bioinformatics, Saarland University, Saarbrücken, Germany
| | - Tobias Fehlman
- Chair for Clinical Bioinformatics, Saarland University, Saarbrücken, Germany
| | - Andreas Keller
- Chair for Clinical Bioinformatics, Saarland University, Saarbrücken, Germany
| | - Mark R Cookson
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
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23
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Schilling M, Lill CM. MicroRNAs as Molecular Biomarkers for Parkinson's Disease Progression. Mov Disord 2021; 36:1793. [PMID: 34223665 DOI: 10.1002/mds.28700] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Accepted: 05/27/2021] [Indexed: 11/07/2022] Open
Affiliation(s)
- Marcel Schilling
- Lübeck Interdisciplinary Platform for Genome Analytics, University of Lübeck, Lübeck, Germany
| | - Christina M Lill
- Translational Epidemiology Group, Lübeck Interdisciplinary Platform for Genome Analytics, University of Lübeck, Lübeck, Germany.,Ageing Epidemiology Unit, School of Public Health, Imperial College London, London, UK
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24
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Kern F, Aparicio-Puerta E, Li Y, Fehlmann T, Kehl T, Wagner V, Ray K, Ludwig N, Lenhof HP, Meese E, Keller A. miRTargetLink 2.0-interactive miRNA target gene and target pathway networks. Nucleic Acids Res 2021; 49:W409-W416. [PMID: 34009375 PMCID: PMC8262750 DOI: 10.1093/nar/gkab297] [Citation(s) in RCA: 71] [Impact Index Per Article: 23.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Revised: 04/05/2021] [Accepted: 04/12/2021] [Indexed: 12/14/2022] Open
Abstract
Which genes, gene sets or pathways are regulated by certain miRNAs? Which miRNAs regulate a particular target gene or target pathway in a certain physiological context? Answering such common research questions can be time consuming and labor intensive. Especially for researchers without computational experience, the integration of different data sources, selection of the right parameters and concise visualization can be demanding. A comprehensive analysis should be central to present adequate answers to complex biological questions. With miRTargetLink 2.0, we develop an all-in-one solution for human, mouse and rat miRNA networks. Users input in the unidirectional search mode either a single gene, gene set or gene pathway, alternatively a single miRNA, a set of miRNAs or an miRNA pathway. Moreover, genes and miRNAs can jointly be provided to the tool in the bidirectional search mode. For the selected entities, interaction graphs are generated from different data sources and dynamically presented. Connected application programming interfaces (APIs) to the tailored enrichment tools miEAA and GeneTrail facilitate downstream analysis of pathways and context-annotated categories of network nodes. MiRTargetLink 2.0 is freely accessible at https://www.ccb.uni-saarland.de/mirtargetlink2.
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Affiliation(s)
- Fabian Kern
- Chair for Clinical Bioinformatics, Saarland University, 66123 Saarbrücken, Germany
| | | | - Yongping Li
- Chair for Clinical Bioinformatics, Saarland University, 66123 Saarbrücken, Germany
| | - Tobias Fehlmann
- Chair for Clinical Bioinformatics, Saarland University, 66123 Saarbrücken, Germany
| | - Tim Kehl
- Center for Bioinformatics, Saarland Informatics Campus, Saarland University, 66123 Saarbrücken, Germany
| | - Viktoria Wagner
- Chair for Clinical Bioinformatics, Saarland University, 66123 Saarbrücken, Germany
| | - Kamalika Ray
- Chair for Clinical Bioinformatics, Saarland University, 66123 Saarbrücken, Germany
| | - Nicole Ludwig
- Center for Human and Molecular Biology, Institute of Human Genetics, Saarland University, 66421 Homburg, Germany
| | - Hans-Peter Lenhof
- Center for Bioinformatics, Saarland Informatics Campus, Saarland University, 66123 Saarbrücken, Germany
| | - Eckart Meese
- Center for Human and Molecular Biology, Institute of Human Genetics, Saarland University, 66421 Homburg, Germany
| | - Andreas Keller
- Chair for Clinical Bioinformatics, Saarland University, 66123 Saarbrücken, Germany
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford 94304, CA, USA
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25
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Rosenthal LS, Yang J, Mao X. Dysregulated miRNAs mark Parkinson's disease progression. NATURE AGING 2021; 1:241-242. [PMID: 37118412 DOI: 10.1038/s43587-021-00046-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/30/2023]
Affiliation(s)
- Liana S Rosenthal
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD, USA.
| | - Jun Yang
- Institute for Cell Engineering, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Xiaobo Mao
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD, USA
- Institute for Cell Engineering, Johns Hopkins School of Medicine, Baltimore, MD, USA
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