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Fernandez MV, Liu M, Beric A, Johnson M, Cetin A, Patel M, Budde J, Kohlfeld P, Bergmann K, Lowery J, Flynn A, Brock W, Sanchez Montejo B, Gentsch J, Sykora N, Norton J, Gentsch J, Valdez O, Gorijala P, Sanford J, Sun Y, Wang C, Western D, Timsina J, Mangetti Goncalves T, Do AN, Sung YJ, Zhao G, Morris JC, Moulder K, Holtzman DM, Bateman RJ, Karch C, Hassenstab J, Xiong C, Schindler SE, Balls-Berry JJ, Benzinger TLS, Perrin RJ, Denny A, Snider BJ, Stark SL, Ibanez L, Cruchaga C. Genetic and multi-omic resources for Alzheimer disease and related dementia from the Knight Alzheimer Disease Research Center. Sci Data 2024; 11:768. [PMID: 38997326 PMCID: PMC11245521 DOI: 10.1038/s41597-024-03485-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Accepted: 06/06/2024] [Indexed: 07/14/2024] Open
Abstract
The Knight-Alzheimer Disease Research Center (Knight-ADRC) at Washington University in St. Louis has pioneered and led worldwide seminal studies that have expanded our clinical, social, pathological, and molecular understanding of Alzheimer Disease. Over more than 40 years, research volunteers have been recruited to participate in cognitive, neuropsychologic, imaging, fluid biomarkers, genomic and multi-omic studies. Tissue and longitudinal data collected to foster, facilitate, and support research on dementia and aging. The Genetics and high throughput -omics core (GHTO) have collected of more than 26,000 biological samples from 6,625 Knight-ADRC participants. Samples available include longitudinal DNA, RNA, non-fasted plasma, cerebrospinal fluid pellets, and peripheral blood mononuclear cells. The GHTO has performed deep molecular profiling (genomic, transcriptomic, epigenomic, proteomic, and metabolomic) from large number of brain (n = 2,117), CSF (n = 2,012) and blood/plasma (n = 8,265) samples with the goal of identifying novel risk and protective variants, identify novel molecular biomarkers and causal and druggable targets. Overall, the resources available at GHTO support the increase of our understanding of Alzheimer Disease.
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Affiliation(s)
- Maria Victoria Fernandez
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, 63110, USA
- Research Center and Memory Clinic, ACE Alzheimer Center, Barcelona, Spain
| | - Menghan Liu
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Aleksandra Beric
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Matt Johnson
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Arda Cetin
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Maulik Patel
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - John Budde
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Pat Kohlfeld
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Kristy Bergmann
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Joseph Lowery
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Allison Flynn
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - William Brock
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Brenda Sanchez Montejo
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Jen Gentsch
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Nicholas Sykora
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Joanne Norton
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Jen Gentsch
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Olga Valdez
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Priyanka Gorijala
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Jessie Sanford
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Yichen Sun
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Ciyang Wang
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Dan Western
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Jigyasha Timsina
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | | | - Anh N Do
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, 63110, USA
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Yun Ju Sung
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Guoyan Zhao
- Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, 63110, USA
- Pathology and Immunology Department, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - John C Morris
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, 63110, USA
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Krista Moulder
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, 63110, USA
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - David M Holtzman
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, 63110, USA
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
- Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO, USA
| | - Randall J Bateman
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, 63110, USA
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
- Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO, USA
- Dominantly Inherited Alzheimer Disease Network (DIAN), St. Louis, USA
| | - Celeste Karch
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
- Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO, USA
- Dominantly Inherited Alzheimer Disease Network (DIAN), St. Louis, USA
| | - Jason Hassenstab
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, 63110, USA
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Chengjie Xiong
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, 63110, USA
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, 63110, USA
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
- Dominantly Inherited Alzheimer Disease Network (DIAN), St. Louis, USA
| | - Suzanne E Schindler
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, 63110, USA
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Joyce Joy Balls-Berry
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, 63110, USA
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Tammie L S Benzinger
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, 63110, USA
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
- Dominantly Inherited Alzheimer Disease Network (DIAN), St. Louis, USA
- Radiology Department, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Richard J Perrin
- Pathology and Immunology Department, Washington University School of Medicine, St. Louis, MO, 63110, USA
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
- Dominantly Inherited Alzheimer Disease Network (DIAN), St. Louis, USA
| | - Andrea Denny
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, 63110, USA
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - B Joy Snider
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, 63110, USA
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
- Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO, USA
| | - Susan L Stark
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
- Occupational Therapy, Neurology and Social Work, St. Louis, USA
| | - Laura Ibanez
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, 63110, USA.
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, 63110, USA.
- Dominantly Inherited Alzheimer Disease Network (DIAN), St. Louis, USA.
| | - Carlos Cruchaga
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, 63110, USA.
- Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA.
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, 63110, USA.
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA.
- Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO, USA.
- Dominantly Inherited Alzheimer Disease Network (DIAN), St. Louis, USA.
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2
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Gao Y, Xu SM, Cheng Y, Takenaka K, Lindner G, Janitz M. Investigation of the Circular Transcriptome in Alzheimer's Disease Brain. J Mol Neurosci 2024; 74:64. [PMID: 38981928 PMCID: PMC11233389 DOI: 10.1007/s12031-024-02236-0] [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: 03/15/2024] [Accepted: 06/10/2024] [Indexed: 07/11/2024]
Abstract
Circular RNAs (circRNAs) are a subclass of non-coding RNAs which have demonstrated potential as biomarkers for Alzheimer's disease (AD). In this study, we conducted a comprehensive exploration of the circRNA transcriptome within AD brain tissues. Specifically, we assessed circRNA expression patterns in the dorsolateral prefrontal cortex collected from nine AD-afflicted individuals and eight healthy controls. Utilising two circRNA detection tools, CIRI2 and CIRCexplorer2, we detected thousands of circRNAs and performed a differential expression analysis. CircRNAs which exhibited statistically significantly differential expression were identified as AD-specific differentially expressed circRNAs. Notably, our investigation revealed 120 circRNAs with significant upregulation and 1325 circRNAs displaying significant downregulation in AD brains when compared to healthy brain tissue. Additionally, we explored the expression profiles of the linear RNA counterparts corresponding to differentially expressed circRNAs in AD-afflicted brains and discovered that the linear RNA counterparts exhibited no significant changes in the levels of expression. We used CRAFT tool to predict that circUBE4B had potential to target miRNA named as hsa-miR-325-5p, ultimately regulated CD44 gene. This study provides a comprehensive overview of differentially expressed circRNAs in the context of AD brains, underscoring their potential as molecular biomarkers for AD. These findings significantly enhance our comprehension of AD's underlying pathophysiological mechanisms, offering promising avenues for future diagnostic and therapeutic developments.
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Affiliation(s)
- Yulan Gao
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia
| | - Si-Mei Xu
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia
| | - Yuning Cheng
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia
| | - Konii Takenaka
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia
| | - Grace Lindner
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia
| | - Michael Janitz
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia.
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3
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Wen X, Huang C, Xie H, Hu D, Luo J, Li K. The Applications of CircRNA in the Diagnosis and Treatment of Alzheimer's Disease. Mol Neurobiol 2024:10.1007/s12035-024-03977-0. [PMID: 38315302 DOI: 10.1007/s12035-024-03977-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 01/20/2024] [Indexed: 02/07/2024]
Abstract
Early diagnosis and intervention are key to the treatment of Alzheimer's disease (AD). There is an urgent need for new biomarkers and molecular targets for the detection and treatment of early Alzheimer's pathology. Circular RNA (circRNA) is a newly discovered non-coding RNA with a special type of covalently closed single strand, with potential preventive and therapeutic applications in a variety of diseases. New studies in the field of circRNA in AD have made many exciting new discoveries in recent years, some of which have not received sufficient attention but have important research implications. This review will focus on existing studies of circRNA in AD and discuss future translational perspectives of proposed circRNA strategies for clinical application in AD.
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Affiliation(s)
- Xueyi Wen
- Department of Neurology and Stroke Center, The First Affiliated Hospital of Jinan University, Guangzhou, 510632, China
- Clinical Neuroscience Institute, Jinan University, Guangzhou, 510632, China
| | - Cheng Huang
- Department of Neurology and Stroke Center, The First Affiliated Hospital of Jinan University, Guangzhou, 510632, China
- Clinical Neuroscience Institute, Jinan University, Guangzhou, 510632, China
| | - Hesong Xie
- Department of Neurology and Stroke Center, The First Affiliated Hospital of Jinan University, Guangzhou, 510632, China
- Clinical Neuroscience Institute, Jinan University, Guangzhou, 510632, China
| | - Di Hu
- Department of Neurology and Stroke Center, The First Affiliated Hospital of Jinan University, Guangzhou, 510632, China
- Clinical Neuroscience Institute, Jinan University, Guangzhou, 510632, China
| | - Juyu Luo
- Department of Neurology and Stroke Center, The First Affiliated Hospital of Jinan University, Guangzhou, 510632, China
- Clinical Neuroscience Institute, Jinan University, Guangzhou, 510632, China
| | - Keshen Li
- Department of Neurology and Stroke Center, The First Affiliated Hospital of Jinan University, Guangzhou, 510632, China.
- Clinical Neuroscience Institute, Jinan University, Guangzhou, 510632, China.
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4
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Beric A, Sun Y, Sanchez S, Martin C, Powell T, Adrian Pardo J, Sanford J, Botia JA, Cruchaga C, Ibanez L. Circulating blood circular RNA in Parkinson's Disease; a systematic study. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.01.22.24301623. [PMID: 38343838 PMCID: PMC10854348 DOI: 10.1101/2024.01.22.24301623] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/17/2024]
Abstract
We aimed to identify circRNAs associated with Parkinson's disease (PD) by leveraging 1,848 participants and 1,789 circRNA from two of the largest publicly available studies with longitudinal clinical and blood transcriptomic data. To comprehensively understand changes in circRNAs we performed a cross-sectional study utilizing the last visit of each participant, and a longitudinal (mix model) analysis that included 1,166 participants with at least two time points. We identified 192 circRNAs differentially expressed in PD participants compared to healthy controls, with effects that were consistent in the mixed models, mutation carriers, and diverse ancestry. Finally, we included the 149 circRNA in a model with a ROC AUC of 0.825, showing that have the potential to aid the diagnosis of PD. Overall, we demonstrated that circRNAs play an important role in PD and can be leveraged as biomarkers.
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Affiliation(s)
- Aleksandra Beric
- Department of Psychiatry, Washington University in Saint Louis School of Medicine
- NeuroGenomics and Informatics Center, Washington University in Saint Louis School of Medicine
| | - Yichen Sun
- Department of Psychiatry, Washington University in Saint Louis School of Medicine
- NeuroGenomics and Informatics Center, Washington University in Saint Louis School of Medicine
| | - Santiago Sanchez
- Department of Psychiatry, Washington University in Saint Louis School of Medicine
- NeuroGenomics and Informatics Center, Washington University in Saint Louis School of Medicine
| | - Charissa Martin
- Department of Psychiatry, Washington University in Saint Louis School of Medicine
- NeuroGenomics and Informatics Center, Washington University in Saint Louis School of Medicine
| | - Tyler Powell
- Department of Psychiatry, Washington University in Saint Louis School of Medicine
- NeuroGenomics and Informatics Center, Washington University in Saint Louis School of Medicine
| | - Jose Adrian Pardo
- Departamento de Ingeniería de la Información y las Comunicaciones; Universidad de Murcia, Murcia, Spain
| | - Jessie Sanford
- Department of Psychiatry, Washington University in Saint Louis School of Medicine
- NeuroGenomics and Informatics Center, Washington University in Saint Louis School of Medicine
| | - Juan A. Botia
- Departamento de Ingeniería de la Información y las Comunicaciones; Universidad de Murcia, Murcia, Spain
- Department of Neurodegenerative Diseases, Institute of Neurology, University College London, London UK
| | - Carlos Cruchaga
- Department of Psychiatry, Washington University in Saint Louis School of Medicine
- NeuroGenomics and Informatics Center, Washington University in Saint Louis School of Medicine
- Department of Neurology, Washington University in Saint Louis School of Medicine
- Hope Center for Neurological Disorders, Washington University in Saint Louis School of Medicine
- The Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University in Saint Louis
- Department of Genetics, Washington University in Saint Louis School of Medicine
| | - Laura Ibanez
- Department of Psychiatry, Washington University in Saint Louis School of Medicine
- NeuroGenomics and Informatics Center, Washington University in Saint Louis School of Medicine
- Department of Neurology, Washington University in Saint Louis School of Medicine
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5
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Cisterna-García A, Beric A, Ali M, Pardo JA, Chen HH, Fernandez MV, Norton J, Gentsch J, Bergmann K, Budde J, Perlmutter JS, Morris JC, Cruchaga C, Botia JA, Ibanez L. Cell-free RNA signatures predict Alzheimer's disease. iScience 2023; 26:108534. [PMID: 38089583 PMCID: PMC10711471 DOI: 10.1016/j.isci.2023.108534] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 11/09/2023] [Accepted: 11/20/2023] [Indexed: 02/01/2024] Open
Abstract
There is a need for affordable, scalable, and specific blood-based biomarkers for Alzheimer's disease that can be applied to a population level. We have developed and validated disease-specific cell-free transcriptomic blood-based biomarkers composed by a scalable number of transcripts that capture AD pathobiology even in the presymptomatic stages of the disease. Accuracies are in the range of the current CSF and plasma biomarkers, and specificities are high against other neurodegenerative diseases.
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Affiliation(s)
- Alejandro Cisterna-García
- Department of Psychiatry, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- Departamento de Ingeniería de la Información y las Comunicaciones, Universidad de Murcia, Murcia, Spain
- NeuroGenomics and Informatics Center, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| | - Aleksandra Beric
- Department of Psychiatry, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| | - Muhammad Ali
- Department of Psychiatry, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| | - Jose Adrian Pardo
- Departamento de Ingeniería de la Información y las Comunicaciones, Universidad de Murcia, Murcia, Spain
| | - Hsiang-Han Chen
- Department of Psychiatry, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| | - Maria Victoria Fernandez
- Department of Psychiatry, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| | - Joanne Norton
- Department of Psychiatry, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- The Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University in Saint Louis, Saint Louis, MO, USA
| | - Jen Gentsch
- Department of Psychiatry, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- The Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University in Saint Louis, Saint Louis, MO, USA
| | - Kristy Bergmann
- Department of Psychiatry, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| | - John Budde
- Department of Psychiatry, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| | - Joel S. Perlmutter
- Department of Neurology, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- Hope Center for Neurological Disorders, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- Department of Radiology, Neuroscience, Physical Therapy, and Occupational Therapy, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| | - John C. Morris
- The Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University in Saint Louis, Saint Louis, MO, USA
- Department of Neurology, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- Department of Pathology and Immunology, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| | - Carlos Cruchaga
- Department of Psychiatry, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- The Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University in Saint Louis, Saint Louis, MO, USA
- Department of Neurology, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- Hope Center for Neurological Disorders, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- Department of Genetics, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
| | - Juan A. Botia
- Departamento de Ingeniería de la Información y las Comunicaciones, Universidad de Murcia, Murcia, Spain
| | - Laura Ibanez
- Department of Psychiatry, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
- Department of Neurology, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA
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6
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He C, Li Z, Yang M, Yu W, Luo R, Zhou J, He J, Chen Q, Song Z, Cheng S. Non-Coding RNA in Microglia Activation and Neuroinflammation in Alzheimer's Disease. J Inflamm Res 2023; 16:4165-4211. [PMID: 37753266 PMCID: PMC10519213 DOI: 10.2147/jir.s422114] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Accepted: 09/12/2023] [Indexed: 09/28/2023] Open
Abstract
Alzheimer's disease (AD) is a neurodegenerative disorder characterized by complex pathophysiological features. Amyloid plaques resulting from extracellular amyloid deposition and neurofibrillary tangles formed by intracellular hyperphosphorylated tau accumulation serve as primary neuropathological criteria for AD diagnosis. The activation of microglia has been closely associated with these pathological manifestations. Non-coding RNA (ncRNA), a versatile molecule involved in various cellular functions such as genetic information storage and transport, as well as catalysis of biochemical reactions, plays a crucial role in microglial activation. This review aims to investigate the regulatory role of ncRNAs in protein expression by directly targeting genes, proteins, and interactions. Furthermore, it explores the ability of ncRNAs to modulate inflammatory pathways, influence the expression of inflammatory factors, and regulate microglia activation, all of which contribute to neuroinflammation and AD. However, there are still significant controversies surrounding microglial activation and polarization. The categorization into M1 and M2 phenotypes may oversimplify the intricate and multifaceted regulatory processes in microglial response to neuroinflammation. Limited research has been conducted on the role of ncRNAs in regulating microglial activation and inducing distinct polarization states in the context of neuroinflammation. Moreover, the regulatory mechanisms through which ncRNAs govern microglial function continue to be refined. The current understanding of ncRNA regulatory pathways involved in microglial activation remains incomplete and may be influenced by spatial, temporal, and tissue-specific factors. Therefore, further in-depth investigations are warranted. In conclusion, there are ongoing debates and uncertainties regarding the activation and polarization of microglial cells, particularly concerning the categorization into M1 and M2 phenotypes. The study of ncRNA regulation in microglial activation and polarization, as well as its mechanisms, is still in its early stages and requires further investigation. However, this review offers new insights and opportunities for therapeutic approaches in AD. The development of ncRNA-based drugs may hold promise as a new direction in AD treatment.
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Affiliation(s)
- Chunxiang He
- School of Integrated Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha, Hunan, People’s Republic of China
- Key Laboratory of Hunan Province for Integrated Traditional Chinese and Western Medicine on Prevention and Treatment of Cardio-Cerebral Diseases, College of Integrated Traditional Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha, Hunan, People’s Republic of China
| | - Ze Li
- School of Integrated Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha, Hunan, People’s Republic of China
- Key Laboratory of Hunan Province for Integrated Traditional Chinese and Western Medicine on Prevention and Treatment of Cardio-Cerebral Diseases, College of Integrated Traditional Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha, Hunan, People’s Republic of China
| | - Miao Yang
- School of Integrated Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha, Hunan, People’s Republic of China
- Key Laboratory of Hunan Province for Integrated Traditional Chinese and Western Medicine on Prevention and Treatment of Cardio-Cerebral Diseases, College of Integrated Traditional Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha, Hunan, People’s Republic of China
| | - Wenjing Yu
- School of Integrated Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha, Hunan, People’s Republic of China
- Key Laboratory of Hunan Province for Integrated Traditional Chinese and Western Medicine on Prevention and Treatment of Cardio-Cerebral Diseases, College of Integrated Traditional Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha, Hunan, People’s Republic of China
| | - Rongsiqing Luo
- School of Integrated Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha, Hunan, People’s Republic of China
- Key Laboratory of Hunan Province for Integrated Traditional Chinese and Western Medicine on Prevention and Treatment of Cardio-Cerebral Diseases, College of Integrated Traditional Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha, Hunan, People’s Republic of China
| | - Jinyong Zhou
- School of Integrated Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha, Hunan, People’s Republic of China
- Key Laboratory of Hunan Province for Integrated Traditional Chinese and Western Medicine on Prevention and Treatment of Cardio-Cerebral Diseases, College of Integrated Traditional Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha, Hunan, People’s Republic of China
| | - Jiawei He
- School of Integrated Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha, Hunan, People’s Republic of China
- Key Laboratory of Hunan Province for Integrated Traditional Chinese and Western Medicine on Prevention and Treatment of Cardio-Cerebral Diseases, College of Integrated Traditional Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha, Hunan, People’s Republic of China
| | - Qi Chen
- School of Integrated Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha, Hunan, People’s Republic of China
- Key Laboratory of Hunan Province for Integrated Traditional Chinese and Western Medicine on Prevention and Treatment of Cardio-Cerebral Diseases, College of Integrated Traditional Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha, Hunan, People’s Republic of China
| | - Zhenyan Song
- School of Integrated Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha, Hunan, People’s Republic of China
- Key Laboratory of Hunan Province for Integrated Traditional Chinese and Western Medicine on Prevention and Treatment of Cardio-Cerebral Diseases, College of Integrated Traditional Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha, Hunan, People’s Republic of China
| | - Shaowu Cheng
- School of Integrated Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha, Hunan, People’s Republic of China
- Key Laboratory of Hunan Province for Integrated Traditional Chinese and Western Medicine on Prevention and Treatment of Cardio-Cerebral Diseases, College of Integrated Traditional Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha, Hunan, People’s Republic of China
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7
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Dong X, Bai Y, Liao Z, Gritsch D, Liu X, Wang T, Borges-Monroy R, Ehrlich A, Serrano GE, Feany MB, Beach TG, Scherzer CR. Circular RNAs in the human brain are tailored to neuron identity and neuropsychiatric disease. Nat Commun 2023; 14:5327. [PMID: 37723137 PMCID: PMC10507039 DOI: 10.1038/s41467-023-40348-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Accepted: 07/20/2023] [Indexed: 09/20/2023] Open
Abstract
Little is known about circular RNAs (circRNAs) in specific brain cells and human neuropsychiatric disease. Here, we systematically identify over 11,039 circRNAs expressed in vulnerable dopamine and pyramidal neurons laser-captured from 190 human brains and non-neuronal cells using ultra-deep, total RNA sequencing. 1526 and 3308 circRNAs are custom-tailored to the cell identity of dopamine and pyramidal neurons and enriched in synapse pathways. 29% of Parkinson's and 12% of Alzheimer's disease-associated genes produced validated circRNAs. circDNAJC6, which is transcribed from a juvenile-onset Parkinson's gene, is already dysregulated during prodromal, onset stages of common Parkinson's disease neuropathology. Globally, addiction-associated genes preferentially produce circRNAs in dopamine neurons, autism-associated genes in pyramidal neurons, and cancers in non-neuronal cells. This study shows that circular RNAs in the human brain are tailored to neuron identity and implicate circRNA-regulated synaptic specialization in neuropsychiatric diseases.
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Affiliation(s)
- Xianjun Dong
- APDA Center for Advanced Parkinson Disease Research, Harvard Medical School, Brigham & Women's Hospital, Boston, MA, USA
- Precision Neurology Program, Harvard Medical School and Brigham & Women's Hospital, Boston, MA, USA
- Genomics and Bioinformatics Hub, Harvard Medical School and Brigham & Women's Hospital, Boston, MA, USA
- Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, 20815, USA
| | - Yunfei Bai
- APDA Center for Advanced Parkinson Disease Research, Harvard Medical School, Brigham & Women's Hospital, Boston, MA, USA
- Precision Neurology Program, Harvard Medical School and Brigham & Women's Hospital, Boston, MA, USA
- State Key Lab of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing, China
| | - Zhixiang Liao
- APDA Center for Advanced Parkinson Disease Research, Harvard Medical School, Brigham & Women's Hospital, Boston, MA, USA
- Precision Neurology Program, Harvard Medical School and Brigham & Women's Hospital, Boston, MA, USA
| | - David Gritsch
- APDA Center for Advanced Parkinson Disease Research, Harvard Medical School, Brigham & Women's Hospital, Boston, MA, USA
- Precision Neurology Program, Harvard Medical School and Brigham & Women's Hospital, Boston, MA, USA
| | - Xiaoli Liu
- APDA Center for Advanced Parkinson Disease Research, Harvard Medical School, Brigham & Women's Hospital, Boston, MA, USA
- Precision Neurology Program, Harvard Medical School and Brigham & Women's Hospital, Boston, MA, USA
- Department of Neurology, Zhejiang Hospital, Zhejiang, China
| | - Tao Wang
- APDA Center for Advanced Parkinson Disease Research, Harvard Medical School, Brigham & Women's Hospital, Boston, MA, USA
- Precision Neurology Program, Harvard Medical School and Brigham & Women's Hospital, Boston, MA, USA
- School of Computer Science, Northwestern Polytechnical University, Xi'an, Shaanxi, China
| | - Rebeca Borges-Monroy
- APDA Center for Advanced Parkinson Disease Research, Harvard Medical School, Brigham & Women's Hospital, Boston, MA, USA
- Precision Neurology Program, Harvard Medical School and Brigham & Women's Hospital, Boston, MA, USA
| | - Alyssa Ehrlich
- APDA Center for Advanced Parkinson Disease Research, Harvard Medical School, Brigham & Women's Hospital, Boston, MA, USA
- Precision Neurology Program, Harvard Medical School and Brigham & Women's Hospital, Boston, MA, USA
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Mel B Feany
- Departement of Pathology, Brigham & Women's Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Clemens R Scherzer
- APDA Center for Advanced Parkinson Disease Research, Harvard Medical School, Brigham & Women's Hospital, Boston, MA, USA.
- Precision Neurology Program, Harvard Medical School and Brigham & Women's Hospital, Boston, MA, USA.
- Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, 20815, USA.
- Program in Neuroscience, Harvard Medical School, Boston, MA, USA.
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8
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Sanadgol N, Amini J, Beyer C, Zendedel A. Presenilin-1-Derived Circular RNAs: Neglected Epigenetic Regulators with Various Functions in Alzheimer's Disease. Biomolecules 2023; 13:1401. [PMID: 37759801 PMCID: PMC10527059 DOI: 10.3390/biom13091401] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 08/28/2023] [Accepted: 09/13/2023] [Indexed: 09/29/2023] Open
Abstract
The presenilin-1 (PSEN1) gene is crucial in developing Alzheimer's disease (AD), a progressive neurodegenerative disorder and the most common cause of dementia. Circular RNAs (circRNAs) are non-coding RNA generated through back-splicing, resulting in a covalently closed circular molecule. This study aimed to investigate PSEN1-gene-derived circular RNAs (circPSEN1s) and their potential functions in AD. Our in silico analysis indicated that circPSEN1s (hsa_circ_0008521 and chr14:73614502-73614802) act as sponge molecules for eight specific microRNAs. Surprisingly, two of these miRNAs (has-mir-4668-5p and has-mir-5584-5p) exclusively interact with circPSEN1s rather than mRNA-PSEN1. Furthermore, the analysis of pathways revealed that these two miRNAs predominantly target mRNAs associated with the PI3K-Akt signaling pathway. With sponging these microRNAs, circPSEN1s were found to protect mRNAs commonly targeted by these miRNAs, including QSER1, BACE2, RNF157, PTMA, and GJD3. Furthermore, the miRNAs sequestered by circPSEN1s have a notable preference for targeting the TGF-β and Hippo signaling pathways. We also demonstrated that circPSEN1s potentially interact with FOXA1, ESR1, HNF1B, BRD4, GATA4, EP300, CBX3, PRDM9, and PPARG proteins. These proteins have a prominent preference for targeting the TGF-β and Notch signaling pathways, where EP300 and FOXA1 have the highest number of protein interactions. Molecular docking analysis also confirms the interaction of these hub proteins and Aβ42 with circPSEN1s. Interestingly, circPSEN1s-targeted molecules (miRNAs and proteins) impacted TGF-β, which served as a shared signaling pathway. Finally, the analysis of microarray data unveiled distinct expression patterns of genes influenced by circPSEN1s (WTIP, TGIF, SMAD4, PPP1CB, and BMPR1A) in the brains of AD patients. In summary, our findings suggested that the interaction of circPSEN1s with microRNAs and proteins could affect the fate of specific mRNAs, interrupt the function of unique proteins, and influence cell signaling pathways, generally TGF-β. Further research is necessary to validate these findings and gain a deeper understanding of the precise mechanisms and significance of circPSEN1s in the context of AD.
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Affiliation(s)
- Nima Sanadgol
- Institute of Neuroanatomy, RWTH University Hospital Aachen, 52074 Aachen, Germany
| | - Javad Amini
- Department of Physiology and Pharmacology, School of Medicine, North Khorasan University of Medical Sciences, Bojnurd 94149-75516, Iran
| | - Cordian Beyer
- Institute of Neuroanatomy, RWTH University Hospital Aachen, 52074 Aachen, Germany
| | - Adib Zendedel
- Department of Biomedicine, Institut of Anatomy, University of Basel, 4031 Basel, Switzerland
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9
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Arizaca Maquera KA, Welden JR, Margvelani G, Miranda Sardón SC, Hart S, Robil N, Hernandez AG, de la Grange P, Nelson PT, Stamm S. Alzheimer's disease pathogenetic progression is associated with changes in regulated retained introns and editing of circular RNAs. Front Mol Neurosci 2023; 16:1141079. [PMID: 37266374 PMCID: PMC10231643 DOI: 10.3389/fnmol.2023.1141079] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Accepted: 02/20/2023] [Indexed: 06/03/2023] Open
Abstract
Introduction The molecular changes leading to Alzheimer's disease (AD) progression are poorly understood. A decisive factor in the disease occurs when neurofibrillary tangles (NFT) composed of microtubule associated protein tau (MAPT) form in the entorhinal cortex and then spread throughout the brain. Methods We therefore determined mRNA and circular RNA changes during AD progression, comparing Braak NFT stages I-VI. Total RNA was isolated from human brain (entorhinal and frontotemporal cortex). Poly(A)+ RNA was subjected to Nanopore sequencing, and total RNA was analyzed by standard Illumina sequencing. Circular RNAs were sequenced from RNase R treated and rRNA depleted total RNA. The sequences were analyzed using different bioinformatic tools, and expression constructs for circRNAs were analyzed in transfection experiments. Results We detected 11,873 circRNAs of which 276 correlated with Braak NFT stages. Adenosine to inosine RNA editing increased about threefold in circRNAs during AD progression. Importantly, this correlation cannot be detected with mRNAs. CircMAN2A1 expression correlated with AD progression and transfection experiments indicated that RNA editing promoted its translation using start codons out of frame with linear mRNAs, which generates novel proteins. Discussion Thus, we identified novel regulated retained introns that correlate with NFT Braak stages and provide evidence for a role of translated circRNAs in AD development.
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Affiliation(s)
| | - Justin Ralph Welden
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, United States
| | - Giorgi Margvelani
- Department of Molecular and Cellular Biochemistry, University of Kentucky, Lexington, KY, United States
| | - Sandra C. Miranda Sardón
- Department of Molecular and Cellular Biochemistry, University of Kentucky, Lexington, KY, United States
| | - Samantha Hart
- Department of Molecular and Cellular Biochemistry, University of Kentucky, Lexington, KY, United States
| | | | | | | | - Peter T. Nelson
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, United States
- Alzheimer’s Disease Research Center and Department of Pathology and Laboratory Medicine, University of Kentucky, Lexington, KY, United States
| | - Stefan Stamm
- Department of Molecular and Cellular Biochemistry, University of Kentucky, Lexington, KY, United States
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10
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Dong X, Bai Y, Liao Z, Gritsch D, Liu X, Wang T, Borges-Monroy R, Ehrlich A, Serano GE, Feany MB, Beach TG, Scherzer CR. Circular RNAs in the human brain are tailored to neuron identity and neuropsychiatric disease. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.04.01.535194. [PMID: 37066229 PMCID: PMC10103951 DOI: 10.1101/2023.04.01.535194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
Little is known about circular RNAs (circRNAs) in specific brain cells and human neuropsychiatric disease. Here, we systematically identified over 11,039 circRNAs expressed in vulnerable dopamine and pyramidal neurons laser-captured from 190 human brains and non-neuronal cells using ultra-deep, total RNA sequencing. 1,526 and 3,308 circRNAs were custom-tailored to the cell identity of dopamine and pyramidal neurons and enriched in synapse pathways. 88% of Parkinson's and 80% of Alzheimer's disease-associated genes produced circRNAs. circDNAJC6, produced from a juvenile-onset Parkinson's gene, was already dysregulated during prodromal, onset stages of common Parkinson's disease neuropathology. Globally, addiction-associated genes preferentially produced circRNAs in dopamine neurons, autism-associated genes in pyramidal neurons, and cancers in non-neuronal cells. This study shows that circular RNAs in the human brain are tailored to neuron identity and implicate circRNA- regulated synaptic specialization in neuropsychiatric diseases.
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Affiliation(s)
- Xianjun Dong
- APDA Center for Advanced Parkinson Disease Research, Harvard Medical School, Brigham & Women’s Hospital, Boston, MA, USA
- Precision Neurology Program, Harvard Medical School and Brigham & Women’s Hospital, Boston, MA, USA
- Genomics and Bioinformatics Hub, Harvard Medical School and Brigham & Women’s Hospital, Boston, MA, USA
- Aligning Science Across Parkinson’s (ASAP) Collaborative Research Network, Chevy Chase, MD, 20815
| | - Yunfei Bai
- APDA Center for Advanced Parkinson Disease Research, Harvard Medical School, Brigham & Women’s Hospital, Boston, MA, USA
- Precision Neurology Program, Harvard Medical School and Brigham & Women’s Hospital, Boston, MA, USA
- State Key Lab of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, China
| | - Zhixiang Liao
- APDA Center for Advanced Parkinson Disease Research, Harvard Medical School, Brigham & Women’s Hospital, Boston, MA, USA
- Precision Neurology Program, Harvard Medical School and Brigham & Women’s Hospital, Boston, MA, USA
| | - David Gritsch
- APDA Center for Advanced Parkinson Disease Research, Harvard Medical School, Brigham & Women’s Hospital, Boston, MA, USA
- Precision Neurology Program, Harvard Medical School and Brigham & Women’s Hospital, Boston, MA, USA
| | - Xiaoli Liu
- APDA Center for Advanced Parkinson Disease Research, Harvard Medical School, Brigham & Women’s Hospital, Boston, MA, USA
- Precision Neurology Program, Harvard Medical School and Brigham & Women’s Hospital, Boston, MA, USA
- Department of Neurology, Zhejiang Hospital, Zhejiang, China
| | - Tao Wang
- APDA Center for Advanced Parkinson Disease Research, Harvard Medical School, Brigham & Women’s Hospital, Boston, MA, USA
- Precision Neurology Program, Harvard Medical School and Brigham & Women’s Hospital, Boston, MA, USA
- School of Computer Science, Northwestern Polytechnical University, Xi’an, Shaanxi, China
| | - Rebeca Borges-Monroy
- APDA Center for Advanced Parkinson Disease Research, Harvard Medical School, Brigham & Women’s Hospital, Boston, MA, USA
- Precision Neurology Program, Harvard Medical School and Brigham & Women’s Hospital, Boston, MA, USA
| | - Alyssa Ehrlich
- APDA Center for Advanced Parkinson Disease Research, Harvard Medical School, Brigham & Women’s Hospital, Boston, MA, USA
- Precision Neurology Program, Harvard Medical School and Brigham & Women’s Hospital, Boston, MA, USA
- Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Mel B. Feany
- Departement of Pathology, Brigham & Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Clemens R. Scherzer
- APDA Center for Advanced Parkinson Disease Research, Harvard Medical School, Brigham & Women’s Hospital, Boston, MA, USA
- Precision Neurology Program, Harvard Medical School and Brigham & Women’s Hospital, Boston, MA, USA
- Aligning Science Across Parkinson’s (ASAP) Collaborative Research Network, Chevy Chase, MD, 20815
- Program in Neuroscience, Harvard Medical School, Boston, MA, USA
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11
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Yu X, Liu H, Chang N, Fu W, Guo Z, Wang Y. Circular RNAs: New players involved in the regulation of cognition and cognitive diseases. Front Neurosci 2023; 17:1097878. [PMID: 36816112 PMCID: PMC9932922 DOI: 10.3389/fnins.2023.1097878] [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: 11/14/2022] [Accepted: 01/16/2023] [Indexed: 02/05/2023] Open
Abstract
Circular RNAs (circRNAs), a type of covalently closed endogenous single-stranded RNA, have been regarded as the byproducts of the aberrant splicing of genes without any biological functions. Recently, with the development of high-throughput sequencing and bioinformatics, thousands of circRNAs and their differential biological functions have been identified. Except for the great advances in identifying circRNA roles in tumor progression, diagnosis, and treatment, accumulated evidence shows that circRNAs are enriched in the brain, especially in the synapse, and dynamically change with the development or aging of organisms. Because of the specific roles of synapses in higher-order cognitive functions, circRNAs may not only participate in cognitive functions in normal physiological conditions but also lead to cognition-related diseases after abnormal regulation of their expression or location. Thus, in this review, we summarized the progress of studies looking at the role of circRNA in cognitive function, as well as their involvement in the occurrence, development, prognosis, and treatment of cognitive-related diseases, including autism, depression, and Alzheimer's diseases.
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Affiliation(s)
- Xiaohan Yu
- School of Clinical and Basic Medical Sciences, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Haoyu Liu
- School of Clinical and Basic Medical Sciences, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Ning Chang
- School of Clinical and Basic Medical Sciences, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Weijia Fu
- School of Clinical and Basic Medical Sciences, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Zhiwen Guo
- School of Clinical and Basic Medical Sciences, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Yue Wang
- School of Clinical and Basic Medical Sciences, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China,Medical Science and Technology Innovation Center, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China,*Correspondence: Yue Wang,
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12
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Basri R, Awan FM, Yang BB, Awan UA, Obaid A, Naz A, Ikram A, Khan S, Haq IU, Khan SN, Aqeel MB. Brain-protective mechanisms of autophagy associated circRNAs: Kick starting self-cleaning mode in brain cells via circRNAs as a potential therapeutic approach for neurodegenerative diseases. Front Mol Neurosci 2023; 15:1078441. [PMID: 36727091 PMCID: PMC9885805 DOI: 10.3389/fnmol.2022.1078441] [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: 10/24/2022] [Accepted: 12/13/2022] [Indexed: 01/19/2023] Open
Abstract
Altered autophagy is a hallmark of neurodegeneration but how autophagy is regulated in the brain and dysfunctional autophagy leads to neuronal death has remained cryptic. Being a key cellular waste-recycling and housekeeping system, autophagy is implicated in a range of brain disorders and altering autophagy flux could be an effective therapeutic strategy and has the potential for clinical applications down the road. Tight regulation of proteins and organelles in order to meet the needs of complex neuronal physiology suggests that there is distinct regulatory pattern of neuronal autophagy as compared to non-neuronal cells and nervous system might have its own separate regulator of autophagy. Evidence has shown that circRNAs participates in the biological processes of autophagosome assembly. The regulatory networks between circRNAs, autophagy, and neurodegeneration remains unknown and warrants further investigation. Understanding the interplay between autophagy, circRNAs and neurodegeneration requires a knowledge of the multiple steps and regulatory interactions involved in the autophagy pathway which might provide a valuable resource for the diagnosis and therapy of neurodegenerative diseases. In this review, we aimed to summarize the latest studies on the role of brain-protective mechanisms of autophagy associated circRNAs in neurodegenerative diseases (including Alzheimer's disease, Parkinson's disease, Huntington's disease, Spinal Muscular Atrophy, Amyotrophic Lateral Sclerosis, and Friedreich's ataxia) and how this knowledge can be leveraged for the development of novel therapeutics against them. Autophagy stimulation might be potential one-size-fits-all therapy for neurodegenerative disease as per considerable body of evidence, therefore future research on brain-protective mechanisms of autophagy associated circRNAs will illuminate an important feature of nervous system biology and will open the door to new approaches for treating neurodegenerative diseases.
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Affiliation(s)
- Rabea Basri
- Department of Medical Lab Technology, The University of Haripur (UOH), Haripur, Pakistan
| | - Faryal Mehwish Awan
- Department of Medical Lab Technology, The University of Haripur (UOH), Haripur, Pakistan,*Correspondence: Faryal Mehwish Awan, ✉ ;
| | - Burton B. Yang
- Sunnybrook Health Sciences Centre, Sunnybrook Research Institute, Toronto, ON, Canada,Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada,Institute of Medical Sciences, University of Toronto, Toronto, ON, Canada
| | - Usman Ayub Awan
- Department of Medical Lab Technology, The University of Haripur (UOH), Haripur, Pakistan
| | - Ayesha Obaid
- Department of Medical Lab Technology, The University of Haripur (UOH), Haripur, Pakistan
| | - Anam Naz
- Institute of Molecular Biology and Biotechnology (IMBB), The University of Lahore (UOL), Lahore, Pakistan
| | - Aqsa Ikram
- Institute of Molecular Biology and Biotechnology (IMBB), The University of Lahore (UOL), Lahore, Pakistan
| | - Suliman Khan
- Department of Medical Lab Technology, The University of Haripur (UOH), Haripur, Pakistan
| | - Ijaz ul Haq
- Department of Public Health and Nutrition, The University of Haripur (UOH), Haripur, Pakistan
| | - Sadiq Noor Khan
- Department of Medical Lab Technology, The University of Haripur (UOH), Haripur, Pakistan
| | - Muslim Bin Aqeel
- Department of Medical Lab Technology, The University of Haripur (UOH), Haripur, Pakistan
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