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Kwok DW, Stevers NO, Etxeberria I, Nejo T, Colton Cove M, Chen LH, Jung J, Okada K, Lakshmanachetty S, Gallus M, Barpanda A, Hong C, Chan GKL, Liu J, Wu SH, Ramos E, Yamamichi A, Watchmaker PB, Ogino H, Saijo A, Du A, Grishanina NR, Woo J, Diaz A, Hervey-Jumper SL, Chang SM, Phillips JJ, Wiita AP, Klebanoff CA, Costello JF, Okada H. Tumour-wide RNA splicing aberrations generate actionable public neoantigens. Nature 2025:10.1038/s41586-024-08552-0. [PMID: 39972144 DOI: 10.1038/s41586-024-08552-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Accepted: 12/19/2024] [Indexed: 02/21/2025]
Abstract
T cell-based immunotherapies hold promise in treating cancer by leveraging the immune system's recognition of cancer-specific antigens1. However, their efficacy is limited in tumours with few somatic mutations and substantial intratumoural heterogeneity2-4. Here we introduce a previously uncharacterized class of tumour-wide public neoantigens originating from RNA splicing aberrations in diverse cancer types. We identified T cell receptor clones capable of recognizing and targeting neoantigens derived from aberrant splicing in GNAS and RPL22. In cases with multi-site biopsies, we detected the tumour-wide expression of the GNAS neojunction in glioma, mesothelioma, prostate cancer and liver cancer. These neoantigens are endogenously generated and presented by tumour cells under physiologic conditions and are sufficient to trigger cancer cell eradication by neoantigen-specific CD8+ T cells. Moreover, our study highlights a role for dysregulated splicing factor expression in specific cancer types, leading to recurrent patterns of neojunction upregulation. These findings establish a molecular basis for T cell-based immunotherapies addressing the challenges of intratumoural heterogeneity.
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Affiliation(s)
- Darwin W Kwok
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Nicholas O Stevers
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Iñaki Etxeberria
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Parker Institute for Cancer Immunotherapy, New York, NY, USA
| | - Takahide Nejo
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Maggie Colton Cove
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Lee H Chen
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Jangham Jung
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Kaori Okada
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | | | - Marco Gallus
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
- Department of Neurosurgery, University Hospital Muenster, Muenster, Germany
| | - Abhilash Barpanda
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Chibo Hong
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Gary K L Chan
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Jerry Liu
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Samuel H Wu
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Emilio Ramos
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Akane Yamamichi
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Payal B Watchmaker
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Hirokazu Ogino
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Atsuro Saijo
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Aidan Du
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Nadia R Grishanina
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - James Woo
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Aaron Diaz
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Shawn L Hervey-Jumper
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Susan M Chang
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Joanna J Phillips
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
- Department of Pathology, University of California, San Francisco, San Francisco, CA, USA
| | - Arun P Wiita
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA
- Chan Zuckerberg Biohub San Francisco, San Francisco, CA, USA
| | - Christopher A Klebanoff
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
- Parker Institute for Cancer Immunotherapy, New York, NY, USA.
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
| | - Joseph F Costello
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA.
| | - Hideho Okada
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA.
- Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA.
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2
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Li W, Zhang X, Song J, Yang L, Wang D, Yuan G, Zhao L. Mechanistic insights into GLP-1 receptor agonist-induced weight loss through ceRNA network analysis. Genomics 2025; 117:110988. [PMID: 39761765 DOI: 10.1016/j.ygeno.2025.110988] [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: 08/17/2024] [Revised: 12/09/2024] [Accepted: 01/01/2025] [Indexed: 01/16/2025]
Abstract
BACKGROUND GLP-1 receptor agonists (GLP-1RA) have been extensively utilized in the management of body weight in individuals with obesity. Circular RNA (circRNA), a class of covalently closed RNA molecules, has garnered increasing attention for its potential role in the pathogenesis of obesity. However, the specific mechanisms through which circRNA contributes to GLP-1RA-induced weight loss remains elusive. METHODS High-throughput sequencing analyzed epididymal adipose tissue from obese mice under high-fat, and GLP-1RA intervention (600 μg/kg/d). The functions of differentially expressed (DE) genes were enriched and analyzed. The circRNA-miRNA-mRNA interaction network was constructed in Cytoscape, and KEGG pathway gene enrichment was validated via western blotting. RESULTS A total of 644 DEcircRNAs, 186 DEmiRNAs, and 3474 DEmRNAs were identified. Based on ceRNA score calculations, network diagrams were constructed. Gene Ontology (GO) analysis revealed that DERNAs were linked to lipid and fatty acid metabolism. DE genes within ceRNA pairs were enriched in lipid metabolism pathways, especially the PI3K-Akt and AMPK signaling pathways. GLP-1RA induced the phosphorylation of AKT and AMPK, which subsequently led to a reduction of SREBP-1, ACC, and FAS. CONCLUSION GLP-1RA might activate PI3K-Akt and AMPK signaling pathways to combat obesity through the ceRNA network of circRNAs.
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Affiliation(s)
- Wenxin Li
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Jiangsu University, Institute of Endocrine and Metabolic Diseases, Jiangsu University, Zhenjiang 212000, Jiangsu, China
| | - Xinyu Zhang
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Jiangsu University, Institute of Endocrine and Metabolic Diseases, Jiangsu University, Zhenjiang 212000, Jiangsu, China; Department of Endocrinology, the Eighth People's Hospital of Wuxi, Wuxi 214000, Jiangsu, China
| | - Jiamin Song
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Jiangsu University, Institute of Endocrine and Metabolic Diseases, Jiangsu University, Zhenjiang 212000, Jiangsu, China
| | - Ling Yang
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Jiangsu University, Institute of Endocrine and Metabolic Diseases, Jiangsu University, Zhenjiang 212000, Jiangsu, China
| | - Dong Wang
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Jiangsu University, Institute of Endocrine and Metabolic Diseases, Jiangsu University, Zhenjiang 212000, Jiangsu, China
| | - Guoyue Yuan
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Jiangsu University, Institute of Endocrine and Metabolic Diseases, Jiangsu University, Zhenjiang 212000, Jiangsu, China.
| | - Li Zhao
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Jiangsu University, Institute of Endocrine and Metabolic Diseases, Jiangsu University, Zhenjiang 212000, Jiangsu, China.
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3
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Yin S, Chi X, Wan F, Li Y, Zhou Q, Kou L, Sun Y, Wu J, Zou W, Wang Y, Jin Z, Huang J, Xiong N, Xia Y, Wang T. TREM2 signaling in Parkinson's disease: Regulation of microglial function and α-synuclein pathology. Int Immunopharmacol 2024; 143:113446. [PMID: 39490141 DOI: 10.1016/j.intimp.2024.113446] [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: 07/31/2024] [Revised: 10/16/2024] [Accepted: 10/17/2024] [Indexed: 11/05/2024]
Abstract
BACKGROUND Parkinson's disease (PD) is characterized by the loss of dopaminergic neurons, abnormal accumulation of α-synuclein (α-syn), and microglial activation. Triggering receptor expressed on myeloid cells 2 (TREM2) regulates multiple functions of microglia in the brain, and several studies have shown that TREM2 variant R47H is a risk factor for PD. However, the regulation of microglia by TREM2 in PD remains poorly understood. METHODS We constructed PD cell and animal models using α-syn preformed fibrils. siRNA knockdown and lentiviral overexpression were used to perturb TREM2 levels in cells, and TREM2 knockout mice and lentiviral overexpression was used in animal models to investigate the effects of TREM2 on microglial function, α-syn-related pathology, and dopaminergic neuron degeneration. RESULTS Microglia phagocytosed α-syn preformed fibrils in a concentration- and time-dependent manner, with some capacity to degrade α-syn aggregates. TREM2 expression increased in PD. In the context of PD, TREM2 knockout mice exhibited worsened pathological α-syn spread, decreased microglial reactivity, and increased loss of TH-positive neurons in the substantia nigra compared to wild-type mice. TREM2 overexpression enhanced reactive microglial aggregation towards the pathological site. Cellular experiments revealed that reduced TREM2 impaired microglial phagocytosis and proliferation, but enhanced autophagy via the PI3K/AKT/mTOR pathway. CONCLUSION TREM2 signaling in PD maintains microglial phagocytosis, proliferation, and reactivity, stabilizing autophagy and proliferation via the PI3K/AKT/mTOR pathway. Regulating TREM2 levels may be beneficial in PD treatment.
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Affiliation(s)
- Sijia Yin
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan 430022, China
| | - Xiaosa Chi
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan 430022, China
| | - Fang Wan
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan 430022, China
| | - Yunna Li
- Department of Neurology, The Central Hospital of Wuhan, 26 Shengli Street, Wuhan 430014, China
| | - Qiulu Zhou
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan 430022, China
| | - Liang Kou
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan 430022, China
| | - Yadi Sun
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan 430022, China
| | - Jiawei Wu
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan 430022, China
| | - Wenkai Zou
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan 430022, China
| | - Yiming Wang
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan 430022, China
| | - Zongjie Jin
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan 430022, China
| | - Jinsha Huang
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan 430022, China
| | - Nian Xiong
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan 430022, China
| | - Yun Xia
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan 430022, China.
| | - Tao Wang
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan 430022, China.
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4
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Whitney K, Song WM, Sharma A, Dangoor DK, Farrell K, Krassner MM, Ressler HW, Christie TD, Kandoi S, Walker RH, Nirenberg MJ, Frucht SJ, Riboldi GM, Zhang B, Pereira AC, Crary JF. Single-cell transcriptomic and neuropathologic analysis reveals dysregulation of the integrated stress response in progressive supranuclear palsy. Acta Neuropathol 2024; 148:80. [PMID: 39648200 PMCID: PMC11625691 DOI: 10.1007/s00401-024-02823-w] [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: 10/27/2023] [Revised: 10/29/2024] [Accepted: 10/30/2024] [Indexed: 12/10/2024]
Abstract
Progressive supranuclear palsy (PSP) is a sporadic neurodegenerative tauopathy variably affecting brainstem and cortical structures, and characterized by tau inclusions in neurons and glia. The precise mechanism whereby these protein aggregates lead to cell death remains unclear. To investigate the contribution of these different cellular abnormalities to PSP pathogenesis, we performed single-nucleus RNA sequencing (snRNA-seq) and analyzed 50,708 high quality nuclei targeting the diencephalon, including the subthalamic nucleus and adjacent structures, from human post-mortem PSP brains with varying degrees of pathology compared to controls. Cell-type-specific differential expression and pathway analysis identified both common and discrete changes in numerous pathways previously implicated in PSP and other neurodegenerative disorders. This included EIF2 signaling, an adaptive pathway activated in response to diverse stressors, which was activated in multiple vulnerable cell types and validated in independent snRNA-seq and bulk RNA-seq datasets. Using immunohistochemistry, we found that activated eIF2α was positively correlated with tau pathology burden in vulnerable brain regions. Multiplex immunofluorescence localized activated eIF2α positivity to hyperphosphorylated tau (p-tau) positive neurons and ALDH1L1-positive astrocytes, supporting the increased transcriptomic EIF2 activation observed in these vulnerable cell types. In conclusion, these data provide insights into cell-type-specific pathological changes in PSP and support the hypothesis that failure of adaptive stress pathways play a mechanistic role in the pathogenesis and progression of PSP.
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Affiliation(s)
- Kristen Whitney
- Department of Pathology, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Neuropathology Brain Bank & Research Core, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Artificial Intelligence & Human Health, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Won-Min Song
- Mount Sinai Center for Transformative Disease Modeling, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, 10029, USA.
- Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, 10029, USA.
| | - Abhijeet Sharma
- Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Neurology, Icahn School of Medicine at Mount Sinai, 1468 Madison Avenue, New York, NY, 10029, USA
| | - Diana K Dangoor
- Department of Pathology, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Neuropathology Brain Bank & Research Core, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Artificial Intelligence & Human Health, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Kurt Farrell
- Department of Pathology, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Neuropathology Brain Bank & Research Core, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Artificial Intelligence & Human Health, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Margaret M Krassner
- Department of Pathology, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Neuropathology Brain Bank & Research Core, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Artificial Intelligence & Human Health, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Hadley W Ressler
- Department of Pathology, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Neuropathology Brain Bank & Research Core, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Artificial Intelligence & Human Health, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Thomas D Christie
- Department of Pathology, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Neuropathology Brain Bank & Research Core, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Artificial Intelligence & Human Health, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Shrishtee Kandoi
- Department of Pathology, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Neuropathology Brain Bank & Research Core, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Artificial Intelligence & Human Health, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Ruth H Walker
- Department of Neurology, Icahn School of Medicine at Mount Sinai, 1468 Madison Avenue, New York, NY, 10029, USA
- Department of Neurology, James J. Peters Veterans Affairs Medical Center, Bronx, NY, 10468, USA
| | - Melissa J Nirenberg
- Department of Neurology, Icahn School of Medicine at Mount Sinai, 1468 Madison Avenue, New York, NY, 10029, USA
- Department of Neurology, James J. Peters Veterans Affairs Medical Center, Bronx, NY, 10468, USA
| | - Steven J Frucht
- The Marlene and Paolo Fresco Institute for Parkinson's and Movement Disorders, Department of Neurology, NYU Langone Health, New York, NY, USA
| | - Giulietta M Riboldi
- The Marlene and Paolo Fresco Institute for Parkinson's and Movement Disorders, Department of Neurology, NYU Langone Health, New York, NY, USA
| | - Bin Zhang
- Mount Sinai Center for Transformative Disease Modeling, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, 10029, USA
- Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, 10029, USA
- Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, 10029, USA
| | - Ana C Pereira
- Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
- Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
- Department of Neurology, Icahn School of Medicine at Mount Sinai, 1468 Madison Avenue, New York, NY, 10029, USA.
| | - John F Crary
- Department of Pathology, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
- Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
- Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
- Neuropathology Brain Bank & Research Core, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
- Department of Artificial Intelligence & Human Health, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
- Department of Neurology, James J. Peters Veterans Affairs Medical Center, Bronx, NY, 10468, USA.
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5
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Meshcheryakova A, Bohdan S, Zimmermann P, Jaritz M, Pietschmann P, Mechtcheriakova D. RNA-Binding Proteins as Novel Effectors in Osteoblasts and Osteoclasts: A Systems Biology Approach to Dissect the Transcriptional Landscape. Int J Mol Sci 2024; 25:10417. [PMID: 39408753 PMCID: PMC11476634 DOI: 10.3390/ijms251910417] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2024] [Revised: 09/17/2024] [Accepted: 09/24/2024] [Indexed: 10/20/2024] Open
Abstract
Bone health is ensured by the coordinated action of two types of cells-the osteoblasts that build up bone structure and the osteoclasts that resorb the bone. The loss of balance in their action results in pathological conditions such as osteoporosis. Central to this study is a class of RNA-binding proteins (RBPs) that regulates the biogenesis of miRNAs. In turn, miRNAs represent a critical level of regulation of gene expression and thus control multiple cellular and biological processes. The impact of miRNAs on the pathobiology of various multifactorial diseases, including osteoporosis, has been demonstrated. However, the role of RBPs in bone remodeling is yet to be elucidated. The aim of this study is to dissect the transcriptional landscape of genes encoding the compendium of 180 RBPs in bone cells. We developed and applied a multi-modular integrative analysis algorithm. The core methodology is gene expression analysis using the GENEVESTIGATOR platform, which is a database and analysis tool for manually curated and publicly available transcriptomic data sets, and gene network reconstruction using the Ingenuity Pathway Analysis platform. In this work, comparative insights into gene expression patterns of RBPs in osteoblasts and osteoclasts were obtained, resulting in the identification of 24 differentially expressed genes. Furthermore, the regulation patterns upon different treatment conditions revealed 20 genes as being significantly up- or down-regulated. Next, novel gene-gene associations were dissected and gene networks were reconstructed. Additively, a set of osteoblast- and osteoclast-specific gene signatures were identified. The consolidation of data and information gained from each individual analytical module allowed nominating novel promising candidate genes encoding RBPs in osteoblasts and osteoclasts and will significantly enhance the understanding of potential regulatory mechanisms directing intracellular processes in the course of (patho)physiological bone turnover.
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Affiliation(s)
- Anastasia Meshcheryakova
- Department of Pathophysiology and Allergy Research, Center of Pathophysiology, Infectiology and Immunology, Medical University of Vienna, 1090 Vienna, Austria
| | - Serhii Bohdan
- Department of Pathophysiology and Allergy Research, Center of Pathophysiology, Infectiology and Immunology, Medical University of Vienna, 1090 Vienna, Austria
| | | | - Markus Jaritz
- Research Institute of Molecular Pathology, Vienna Biocenter, 1030 Vienna, Austria
| | - Peter Pietschmann
- Department of Pathophysiology and Allergy Research, Center of Pathophysiology, Infectiology and Immunology, Medical University of Vienna, 1090 Vienna, Austria
| | - Diana Mechtcheriakova
- Department of Pathophysiology and Allergy Research, Center of Pathophysiology, Infectiology and Immunology, Medical University of Vienna, 1090 Vienna, Austria
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6
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Kiianitsa K, Lukes ME, Hayes BJ, Brutman JN, Valdmanis PN, Bird TD, Raskind WH, Korvatska O. TREM2 variants that cause early dementia and increase Alzheimer's disease risk affect gene splicing. Brain 2024; 147:2368-2383. [PMID: 38226698 PMCID: PMC11224616 DOI: 10.1093/brain/awae014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Revised: 01/02/2024] [Accepted: 01/09/2024] [Indexed: 01/17/2024] Open
Abstract
Loss-of-function variants in the triggering receptor expressed on myeloid cells 2 (TREM2) are responsible for a spectrum of neurodegenerative disorders. In the homozygous state, they cause severe pathologies with early onset dementia, such as Nasu-Hakola disease and behavioural variants of frontotemporal dementia (FTD), whereas heterozygous variants increase the risk of late-onset Alzheimer's disease (AD) and FTD. For over half of TREM2 variants found in families with recessive early onset dementia, the defect occurs at the transcript level via premature termination codons or aberrant splicing. The remaining variants are missense alterations thought to affect the protein; however, the underlying pathogenic mechanism is less clear. In this work, we tested whether these disease-associated TREM2 variants contribute to the pathology via altered splicing. Variants scored by SpliceAI algorithm were tested by a full-size TREM2 splicing reporter assay in different cell lines. The effect of variants was quantified by qRT-/RT-PCR and western blots. Nanostring nCounter was used to measure TREM2 RNA in the brains of NHD patients who carried spliceogenic variants. Exon skipping events were analysed from brain RNA-Seq datasets available through the Accelerating Medicines Partnership for Alzheimer's Disease Consortium. We found that for some Nasu-Hakola disease and early onset FTD-causing variants, splicing defects were the primary cause (D134G) or likely contributor to pathogenicity (V126G and K186N). Similar but milder effects on splicing of exons 2 and 3 were demonstrated for A130V, L133L and R136W enriched in patients with dementia. Moreover, the two most frequent missense variants associated with AD/FTD risk in European and African ancestries (R62H, 1% in Caucasians and T96K, 12% in Africans) had splicing defects via excessive skipping of exon 2 and overproduction of a potentially antagonistic TREM2 protein isoform. The effect of R62H on exon 2 skipping was confirmed in three independent brain RNA-Seq datasets. Our findings revealed an unanticipated complexity of pathogenic variation in TREM2, in which effects on post-transcriptional gene regulation and protein function often coexist. This necessitates the inclusion of computational and experimental analyses of splicing and mRNA processing for a better understanding of genetic variation in disease.
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Affiliation(s)
- Kostantin Kiianitsa
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA 98195, USA
| | - Maria E Lukes
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA 98195, USA
| | - Brian J Hayes
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Julianna N Brutman
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA 98195, USA
| | - Paul N Valdmanis
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA 98195, USA
| | - Thomas D Bird
- Department of Neurology, University of Washington, Seattle, WA 98195, USA
- Geriatric Research, Education and Clinical Center (GRECC), VA Puget Sound Medical Center, Seattle, WA 98108, USA
| | - Wendy H Raskind
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA 98195, USA
- Mental Illness Research, Education and Clinical Center (MIRECC), VA Puget Sound Medical Center, Seattle, WA 98108, USA
| | - Olena Korvatska
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA 98195, USA
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7
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Whitney K, Song WM, Sharma A, Dangoor DK, Farrell K, Krassner MM, Ressler HW, Christie TD, Walker RH, Nirenberg MJ, Zhang B, Frucht SJ, Riboldi GM, Crary JF, Pereira AC. Single-cell transcriptomic and neuropathologic analysis reveals dysregulation of the integrated stress response in progressive supranuclear palsy. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.11.17.567587. [PMID: 38014079 PMCID: PMC10680842 DOI: 10.1101/2023.11.17.567587] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
Progressive supranuclear palsy (PSP) is a sporadic neurodegenerative tauopathy variably affecting brainstem and cortical structures and characterized by tau inclusions in neurons and glia. The precise mechanism whereby these protein aggregates lead to cell death remains unclear. To investigate the contribution of these different cellular abnormalities to PSP pathogenesis, we performed single-nucleus RNA sequencing and analyzed 45,559 high quality nuclei targeting the subthalamic nucleus and adjacent structures from human post-mortem PSP brains with varying degrees of pathology compared to controls. Cell-type specific differential expression and pathway analysis identified both common and discrete changes in numerous pathways previously implicated in PSP and other neurodegenerative disorders. This included EIF2 signaling, an adaptive pathway activated in response to diverse stressors, which was the top activated pathway in vulnerable cell types. Using immunohistochemistry, we found that activated eIF2α was positively correlated with tau pathology burden in vulnerable brain regions. Multiplex immunofluorescence localized activated eIF2α positivity to hyperphosphorylated tau (p-tau) positive neurons and ALDH1L1-positive astrocytes, supporting the increased transcriptomic EIF2 activation observed in these vulnerable cell types. In conclusion, these data provide insights into cell-type-specific pathological changes in PSP and support the hypothesis that failure of adaptive stress pathways play a mechanistic role in the pathogenesis and progression of PSP.
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8
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Kwok DW, Stevers NO, Nejo T, Chen LH, Etxeberria I, Jung J, Okada K, Cove MC, Lakshmanachetty S, Gallus M, Barpanda A, Hong C, Chan GKL, Wu SH, Ramos E, Yamamichi A, Liu J, Watchmaker P, Ogino H, Saijo A, Du A, Grishanina N, Woo J, Diaz A, Chang SM, Phillips JJ, Wiita AP, Klebanoff CA, Costello JF, Okada H. Tumor-wide RNA splicing aberrations generate immunogenic public neoantigens. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.19.563178. [PMID: 37904942 PMCID: PMC10614978 DOI: 10.1101/2023.10.19.563178] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/01/2023]
Abstract
T-cell-mediated immunotherapies are limited by the extent to which cancer-specific antigens are homogenously expressed throughout a tumor. We reasoned that recurrent splicing aberrations in cancer represent a potential source of tumor-wide and public neoantigens, and to test this possibility, we developed a novel pipeline for identifying neojunctions expressed uniformly within a tumor across diverse cancer types. Our analyses revealed multiple neojunctions that recur across patients and either exhibited intratumor heterogeneity or, in some cases, were tumor-wide. We identified CD8+ T-cell clones specific for neoantigens derived from tumor-wide and conserved neojunctions in GNAS and RPL22 , respectively. TCR-engineered CD8 + T-cells targeting these mutations conferred neoantigen-specific tumor cell eradication. Furthermore, we revealed that cancer-specific dysregulation in splicing factor expression leads to recurrent neojunction expression. Together, these data reveal that a subset of neojunctions are both intratumorally conserved and public, providing the molecular basis for novel T-cell-based immunotherapies that address intratumoral heterogeneity.
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9
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Farhadieh ME, Ghaedi K. Analyzing alternative splicing in Alzheimer's disease postmortem brain: a cell-level perspective. Front Mol Neurosci 2023; 16:1237874. [PMID: 37799732 PMCID: PMC10548223 DOI: 10.3389/fnmol.2023.1237874] [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: 06/10/2023] [Accepted: 09/01/2023] [Indexed: 10/07/2023] Open
Abstract
Alzheimer's disease (AD) is a neurodegenerative disease with no effective cure that attacks the brain's cells resulting in memory loss and changes in behavior and language skills. Alternative splicing is a highly regulated process influenced by specific cell types and has been implicated in age-related disorders such as neurodegenerative diseases. A comprehensive detection of alternative splicing events (ASEs) at the cellular level in postmortem brain tissue can provide valuable insights into AD pathology. Here, we provided cell-level ASEs in postmortem brain tissue by employing bioinformatics pipelines on a bulk RNA sequencing study sorted by cell types and two single-cell RNA sequencing studies from the prefrontal cortex. This comprehensive analysis revealed previously overlooked splicing and expression changes in AD patient brains. Among the observed alterations were changed in the splicing and expression of transcripts associated with chaperones, including CLU in astrocytes and excitatory neurons, PTGDS in astrocytes and endothelial cells, and HSP90AA1 in microglia and tauopathy-afflicted neurons, which were associated with differential expression of the splicing factor DDX5. In addition, novel, unknown transcripts were altered, and structural changes were observed in lncRNAs such as MEG3 in neurons. This work provides a novel strategy to identify the notable ASEs at the cell level in neurodegeneration, which revealed cell type-specific splicing changes in AD. This finding may contribute to interpreting associations between splicing and neurodegenerative disease outcomes.
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Affiliation(s)
| | - Kamran Ghaedi
- Department of Cell and Molecular Biology and Microbiology, Faculty of Biological Sciences and Technology, University of Isfahan, Isfahan, Iran
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10
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Liu B, Song A, Gui P, Wang J, Pan Y, Li C, Li S, Zhang Y, Jiang T, Xu Y, Pei D, Song J. Long noncoding RNA LINC01594 inhibits the CELF6-mediated splicing of oncogenic CD44 variants to promote colorectal cancer metastasis. Cell Death Dis 2023; 14:427. [PMID: 37452042 PMCID: PMC10349055 DOI: 10.1038/s41419-023-05924-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Revised: 06/16/2023] [Accepted: 06/23/2023] [Indexed: 07/18/2023]
Abstract
Long noncoding RNAs (lncRNAs) play critical roles in tumorigenesis and tumor metastasis. However, the underlying mechanisms of lncRNAs in colorectal cancer (CRC) need further exploration. By using data from The Cancer Genome Atlas (TCGA) and GEO databases, we identified a novel CRC-related lncRNA, LINC01594, that is significantly upregulated in CRC and associated with poor prognosis. In vitro and in vivo, gain- and loss-of-function experiments demonstrated that LINC01594 promotes metastasis in CRC. LINC01594 functions as a DNMT1 scaffold, increasing the level of CELF6 promoter methylation. LINC01594 also competitively binds the transcription factor p53, decreasing CELF6 expression. This inhibited the exon skipping of CD44 V4-V7 induced by CELF6. In summary, this study highlights a novel CRC biomarker and therapeutic target, LINC01594, and the findings suggest that the LINC01594-CELF6-CD44 axis might serve as a biomarker and therapeutic target in CRC.
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Affiliation(s)
- Bowen Liu
- Department of General Surgery, The Affiliated Hospital of Xuzhou Medical University. No. 99, Huaihai West Road, Quanshan District, Xuzhou, 221006, China
- Institute of Digestive Diseases, Xuzhou Medical University. No. 84, Huaihai West Road, Quanshan District, Xuzhou, 221002, China
| | - Angxi Song
- Institute of Digestive Diseases, Xuzhou Medical University. No. 84, Huaihai West Road, Quanshan District, Xuzhou, 221002, China
| | - Pengkun Gui
- Institute of Digestive Diseases, Xuzhou Medical University. No. 84, Huaihai West Road, Quanshan District, Xuzhou, 221002, China
| | - Jin Wang
- Department of Pathology, Xuzhou Medical University. No. 209, Tongshan Road, Yunlong District, Xuzhou, 221004, China
| | - Yaojie Pan
- Department of Medical Oncology, Zhejiang Provincial People's Hospital. No. 158, Shangtang Road, Xiacheng District, Zhejiang, 310000, China
| | - Chao Li
- Department of General Surgery, The Affiliated Hospital of Xuzhou Medical University. No. 99, Huaihai West Road, Quanshan District, Xuzhou, 221006, China
- Institute of Digestive Diseases, Xuzhou Medical University. No. 84, Huaihai West Road, Quanshan District, Xuzhou, 221002, China
| | - Shuai Li
- Department of General Surgery, The Affiliated Hospital of Xuzhou Medical University. No. 99, Huaihai West Road, Quanshan District, Xuzhou, 221006, China
- Institute of Digestive Diseases, Xuzhou Medical University. No. 84, Huaihai West Road, Quanshan District, Xuzhou, 221002, China
| | - Yi Zhang
- Department of General Surgery, The Affiliated Hospital of Xuzhou Medical University. No. 99, Huaihai West Road, Quanshan District, Xuzhou, 221006, China
- Institute of Digestive Diseases, Xuzhou Medical University. No. 84, Huaihai West Road, Quanshan District, Xuzhou, 221002, China
| | - Tao Jiang
- Department of General Surgery, The Affiliated Hospital of Xuzhou Medical University. No. 99, Huaihai West Road, Quanshan District, Xuzhou, 221006, China
- Institute of Digestive Diseases, Xuzhou Medical University. No. 84, Huaihai West Road, Quanshan District, Xuzhou, 221002, China
| | - Yixin Xu
- Department of General Surgery, The Affiliated Hospital of Xuzhou Medical University. No. 99, Huaihai West Road, Quanshan District, Xuzhou, 221006, China
- Institute of Digestive Diseases, Xuzhou Medical University. No. 84, Huaihai West Road, Quanshan District, Xuzhou, 221002, China
| | - Dongsheng Pei
- Department of Pathology, Xuzhou Medical University. No. 209, Tongshan Road, Yunlong District, Xuzhou, 221004, China.
| | - Jun Song
- Department of General Surgery, The Affiliated Hospital of Xuzhou Medical University. No. 99, Huaihai West Road, Quanshan District, Xuzhou, 221006, China.
- Institute of Digestive Diseases, Xuzhou Medical University. No. 84, Huaihai West Road, Quanshan District, Xuzhou, 221002, China.
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11
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Yanaizu M, Adachi H, Araki M, Kontani K, Kino Y. Translational regulation and protein-coding capacity of the 5' untranslated region of human TREM2. Commun Biol 2023; 6:616. [PMID: 37291187 PMCID: PMC10250343 DOI: 10.1038/s42003-023-04998-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Accepted: 05/30/2023] [Indexed: 06/10/2023] Open
Abstract
TREM2 is a transmembrane receptor expressed in microglia and macrophages. Elevated TREM2 levels in these cells are associated with age-related pathological conditions, including Alzheimer's disease. However, the regulatory mechanism underlying the protein expression of TREM2 remains unclear. In this study, we uncover the role of the 5' untranslated region (5'-UTR) of human TREM2 in translation. An upstream start codon (uAUG) in the 5'-UTR of TREM2 is specific to some primates, including humans. The expression of the conventional TREM2 protein, starting from the downstream AUG (dTREM2), is repressed by the 5'-UTR in a uAUG-mediated manner. We also detect a TREM2 protein isoform starting from uAUG (uTREM2) that is largely degraded by proteasomes. Finally, the 5'-UTR is essential for the downregulation of dTREM2 expression in response to amino acid starvation. Collectively, our study identifies a species-specific regulatory role of the 5'-UTR in TREM2 translation.
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Affiliation(s)
- Motoaki Yanaizu
- Department of Bioinformatics and Molecular Neuropathology, Meiji Pharmaceutical University, 2-522-1, Noshio, Kiyose-shi, Tokyo, 204-8588, Japan
- Department of RNA Pathobiology and Therapeutics, Meiji Pharmaceutical University, 2-522-1, Noshio, Kiyose-shi, Tokyo, 204-8588, Japan
| | - Haruka Adachi
- Department of Bioinformatics and Molecular Neuropathology, Meiji Pharmaceutical University, 2-522-1, Noshio, Kiyose-shi, Tokyo, 204-8588, Japan
| | - Makoto Araki
- Department of Biochemistry, Meiji Pharmaceutical University, 2-522-1, Noshio, Kiyose-shi, Tokyo, 204-8588, Japan
| | - Kenji Kontani
- Department of Biochemistry, Meiji Pharmaceutical University, 2-522-1, Noshio, Kiyose-shi, Tokyo, 204-8588, Japan
| | - Yoshihiro Kino
- Department of Bioinformatics and Molecular Neuropathology, Meiji Pharmaceutical University, 2-522-1, Noshio, Kiyose-shi, Tokyo, 204-8588, Japan.
- Department of RNA Pathobiology and Therapeutics, Meiji Pharmaceutical University, 2-522-1, Noshio, Kiyose-shi, Tokyo, 204-8588, Japan.
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12
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Wang J, Weng Y, Li Y, Zhang Y, Zhou J, Tang J, Lin X, Guo Z, Zheng F, Yu G, Shao W, Hu H, Cai P, Wu S, Li H. The interplay between lncRNA NR_030777 and SF3B3 in neuronal damage caused by paraquat. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 255:114804. [PMID: 36948007 DOI: 10.1016/j.ecoenv.2023.114804] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/10/2022] [Revised: 03/14/2023] [Accepted: 03/15/2023] [Indexed: 06/18/2023]
Abstract
Paraquat (PQ) has been widely acknowledged as an environmental risk factor for Parkinson's disease (PD). However, the interaction between splicing factor and long non-coding RNA (lncRNA) in the process of PQ-induced PD has rarely been studied. Based on previous research, this study focused on splicing factor 3 subunit 3 (SF3B3) and lncRNA NR_030777. After changing the target gene expression level by lentiviral transfection technology, the related gene expression was detected by western blot and qRT-PCR. The expression of SF3B3 protein was reduced in Neuro-2a cells after PQ exposure, and the reactive oxygen species (ROS) scavenger N-acetylcysteine prevented this decline. Knockdown of SF3B3 reduced the PQ-triggered NR_030777 expression increase, and overexpression of NR_030777 reduced the transcriptional and translational level of Sf3b3. Then, knockdown of SF3B3 exacerbated the PQ-induced decrease in cell viability and aggravated the reduction of tyrosine hydroxylase (TH) protein expression. Overexpressing SF3B3 reversed the reduction of TH expression caused by PQ. Moreover, after intervention with the autophagy inhibitor Bafilomycin A1, LC3B-II protein expression was further increased in Neuro-2a cells with the knockdown of SF3B3, indicating that autophagy was enhanced. In conclusion, PQ modulated the interplay between NR_030777 and SF3B3 through ROS production, thereby impairing autophagic flux and causing neuronal damage.
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Affiliation(s)
- Junxiang Wang
- Department of Preventive Medicine, School of Public Health, Fujian Medical University, Fuzhou 350122, China
| | - Yali Weng
- Department of Preventive Medicine, School of Public Health, Fujian Medical University, Fuzhou 350122, China
| | - Yinhan Li
- Department of Preventive Medicine, School of Public Health, Fujian Medical University, Fuzhou 350122, China
| | - Yu Zhang
- Department of Preventive Medicine, School of Public Health, Fujian Medical University, Fuzhou 350122, China
| | - Jinfu Zhou
- Department of Preventive Medicine, School of Public Health, Fujian Medical University, Fuzhou 350122, China
| | - Jianping Tang
- Department of Preventive Medicine, School of Public Health, Fujian Medical University, Fuzhou 350122, China
| | - Xinpei Lin
- Department of Preventive Medicine, School of Public Health, Fujian Medical University, Fuzhou 350122, China
| | - Zhenkun Guo
- Department of Preventive Medicine, School of Public Health, Fujian Medical University, Fuzhou 350122, China; Key Lab of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou 350122, China; Fujian Key Lab of Environmental Factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou 350122, China
| | - Fuli Zheng
- Department of Preventive Medicine, School of Public Health, Fujian Medical University, Fuzhou 350122, China; Key Lab of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou 350122, China; Fujian Key Lab of Environmental Factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou 350122, China
| | - Guangxia Yu
- Department of Preventive Medicine, School of Public Health, Fujian Medical University, Fuzhou 350122, China; Key Lab of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou 350122, China; Fujian Key Lab of Environmental Factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou 350122, China
| | - Wenya Shao
- Department of Preventive Medicine, School of Public Health, Fujian Medical University, Fuzhou 350122, China; Key Lab of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou 350122, China; Fujian Key Lab of Environmental Factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou 350122, China
| | - Hong Hu
- Department of Preventive Medicine, School of Public Health, Fujian Medical University, Fuzhou 350122, China; Key Lab of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou 350122, China; Fujian Key Lab of Environmental Factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou 350122, China
| | - Ping Cai
- Department of Health Inspection and Quarantine, School of Public Health, Fujian Medical University, Fuzhou 350122, China
| | - Siying Wu
- Key Lab of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou 350122, China; Fujian Key Lab of Environmental Factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou 350122, China; Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou 350122, China.
| | - Huangyuan Li
- Department of Preventive Medicine, School of Public Health, Fujian Medical University, Fuzhou 350122, China; Key Lab of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou 350122, China; Fujian Key Lab of Environmental Factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou 350122, China.
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13
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Alzheimer's Disease-Associated Alternative Splicing of CD33 Is Regulated by the HNRNPA Family Proteins. Cells 2023; 12:cells12040602. [PMID: 36831269 PMCID: PMC9954446 DOI: 10.3390/cells12040602] [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: 10/16/2022] [Revised: 02/07/2023] [Accepted: 02/09/2023] [Indexed: 02/16/2023] Open
Abstract
Genetic variations of CD33 have been implicated as a susceptibility factor of Alzheimer's disease (AD). A polymorphism on exon 2 of CD33, rs12459419, affects the alternative splicing of this exon. The minor allele is associated with a reduced risk of AD and promotes the skipping of exon 2 to produce a shorter CD33 isoform lacking the extracellular ligand-binding domain, leading to decreased suppressive signaling on microglial activity. Therefore, factors that regulate the splicing of exon 2 may alter the disease-associated properties of CD33. Herein, we sought to identify the regulatory proteins of CD33 splicing. Using a panel of RNA-binding proteins and a human CD33 minigene, we found that exon 2 skipping of CD33 was promoted by HNRNPA1. Although the knockdown of HNRNPA1 alone did not reduce exon 2 skipping, simultaneous knockdown of HNRNPA1 together with that of HNRNPA2B1 and HNRNPA3 promoted exon 2 inclusion, suggesting functional redundancy among HNRNPA proteins. Similar redundant regulation by HNRNPA proteins was observed in endogenous CD33 of THP-1 and human microglia-like cells. Although mouse Cd33 showed a unique splicing pattern of exon 2, we confirmed that HNRNPA1 promoted the skipping of this exon. Collectively, our results revealed novel regulatory relationships between CD33 and HNRNPA proteins.
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14
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Wang L, Zhen H, Sun Y, Rong S, Li B, Song Z, Liu Z, Li Z, Ding J, Yang H, Zhang X, Sun H, Nie C. Plasma Exo-miRNAs Correlated with AD-Related Factors of Chinese Individuals Involved in Aβ Accumulation and Cognition Decline. Mol Neurobiol 2022; 59:6790-6804. [PMID: 36040555 PMCID: PMC9425792 DOI: 10.1007/s12035-022-03012-0] [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: 11/15/2021] [Accepted: 07/29/2022] [Indexed: 11/17/2022]
Abstract
Numerous studies have investigated the risk factors of Alzheimer’s disease (AD); however, AD-risk factors related miRNAs were rarely reported. In this study, AD-risk factor related miRNAs of 105 Chinese individuals (45 AD patients and 60 cognitively normal controls) were investigated. The results showed that Hsa-miR-185-5p, Hsa-miR-20a-5p, and Hsa-miR-497-5p were related to AD and education, Hsa-miR-185-5p, Hsa-miR-181c-5p, Hsa-miR-664a-3p, Hsa-miR-27a-3p, Hsa-miR-451a, and Hsa-miR-320a were related to AD and depression. Target prediction of above miRNAs showed that these miRNAs were involved in the generation and clearance of amyloid-beta (Aβ), important molecules related to cognition, and disease-activated microglia response to AD. It is worth noting that Hsa-miR-185-5p was related to both education and depression, whose decreased expression pattern in AD patients was alleviated by education and enhanced by depression, and participates in Aβ generation and accumulation. Our results indicated that certain education and depression factors can contribute to AD progression by modulating miRNA expression, implying that preventive interventions might alter AD progression in Chinese patients.
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Affiliation(s)
- Lifang Wang
- BGI-Shenzhen, Shenzhen, 518083, China.,China National GeneBank, BGI-Shenzhen, Shenzhen, 518120, China.,Shenzhen Key Laboratory of Neurogenomics, BGI-Shenzhen, Shenzhen, 518083, China
| | - Hefu Zhen
- BGI-Shenzhen, Shenzhen, 518083, China.,China National GeneBank, BGI-Shenzhen, Shenzhen, 518120, China.,Shenzhen Key Laboratory of Neurogenomics, BGI-Shenzhen, Shenzhen, 518083, China
| | - Yuzhe Sun
- BGI-Shenzhen, Shenzhen, 518083, China.,China National GeneBank, BGI-Shenzhen, Shenzhen, 518120, China.,Shenzhen Key Laboratory of Neurogenomics, BGI-Shenzhen, Shenzhen, 518083, China
| | - Shuang Rong
- Department of Nutrition and Food Hygiene, School of Public Health, Medical College, Wuhan University of Science and Technology, Wuhan, China
| | - Benchao Li
- Department of Nutrition and Food Hygiene, School of Public Health, Medical College, Wuhan University of Science and Technology, Wuhan, China
| | - Zhijie Song
- BGI-Shenzhen, Shenzhen, 518083, China.,James D. Watson Institute of Genome Sciences, Hangzhou, 310058, China
| | - Zhili Liu
- BGI-Shenzhen, Shenzhen, 518083, China.,James D. Watson Institute of Genome Sciences, Hangzhou, 310058, China
| | - Zhiming Li
- BGI-Shenzhen, Shenzhen, 518083, China.,China National GeneBank, BGI-Shenzhen, Shenzhen, 518120, China.,Shenzhen Key Laboratory of Neurogenomics, BGI-Shenzhen, Shenzhen, 518083, China
| | - Jiahong Ding
- BGI-Shenzhen, Shenzhen, 518083, China.,China National GeneBank, BGI-Shenzhen, Shenzhen, 518120, China.,Shenzhen Key Laboratory of Neurogenomics, BGI-Shenzhen, Shenzhen, 518083, China
| | - Huanming Yang
- BGI-Shenzhen, Shenzhen, 518083, China.,College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Xiuqing Zhang
- BGI-Shenzhen, Shenzhen, 518083, China.,China National GeneBank, BGI-Shenzhen, Shenzhen, 518120, China.,Shenzhen Key Laboratory of Neurogenomics, BGI-Shenzhen, Shenzhen, 518083, China
| | - Haixi Sun
- BGI-Shenzhen, Shenzhen, 518083, China. .,China National GeneBank, BGI-Shenzhen, Shenzhen, 518120, China. .,Shenzhen Key Laboratory of Neurogenomics, BGI-Shenzhen, Shenzhen, 518083, China. .,James D. Watson Institute of Genome Sciences, Hangzhou, 310058, China. .,BGI-Beijing, Beijing, 102601, China.
| | - Chao Nie
- BGI-Shenzhen, Shenzhen, 518083, China. .,China National GeneBank, BGI-Shenzhen, Shenzhen, 518120, China. .,Shenzhen Key Laboratory of Neurogenomics, BGI-Shenzhen, Shenzhen, 518083, China.
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15
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Freitag K, Sterczyk N, Wendlinger S, Obermayer B, Schulz J, Farztdinov V, Mülleder M, Ralser M, Houtman J, Fleck L, Braeuning C, Sansevrino R, Hoffmann C, Milovanovic D, Sigrist SJ, Conrad T, Beule D, Heppner FL, Jendrach M. Spermidine reduces neuroinflammation and soluble amyloid beta in an Alzheimer's disease mouse model. J Neuroinflammation 2022; 19:172. [PMID: 35780157 PMCID: PMC9250727 DOI: 10.1186/s12974-022-02534-7] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Accepted: 06/16/2022] [Indexed: 12/27/2022] Open
Abstract
Background Deposition of amyloid beta (Aβ) and hyperphosphorylated tau along with glial cell-mediated neuroinflammation are prominent pathogenic hallmarks of Alzheimer’s disease (AD). In recent years, impairment of autophagy has been identified as another important feature contributing to AD progression. Therefore, the potential of the autophagy activator spermidine, a small body-endogenous polyamine often used as dietary supplement, was assessed on Aβ pathology and glial cell-mediated neuroinflammation. Results Oral treatment of the amyloid prone AD-like APPPS1 mice with spermidine reduced neurotoxic soluble Aβ and decreased AD-associated neuroinflammation. Mechanistically, single nuclei sequencing revealed AD-associated microglia to be the main target of spermidine. This microglia population was characterized by increased AXL levels and expression of genes implicated in cell migration and phagocytosis. A subsequent proteome analysis of isolated microglia confirmed the anti-inflammatory and cytoskeletal effects of spermidine in APPPS1 mice. In primary microglia and astrocytes, spermidine-induced autophagy subsequently affected TLR3- and TLR4-mediated inflammatory processes, phagocytosis of Aβ and motility. Interestingly, spermidine regulated the neuroinflammatory response of microglia beyond transcriptional control by interfering with the assembly of the inflammasome. Conclusions Our data highlight that the autophagy activator spermidine holds the potential to enhance Aβ degradation and to counteract glia-mediated neuroinflammation in AD pathology. Supplementary Information The online version contains supplementary material available at 10.1186/s12974-022-02534-7.
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Affiliation(s)
- Kiara Freitag
- Department of Neuropathology, Charité, Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, Berlin Institute of Health, Berlin, Germany.,German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, Berlin, Germany
| | - Nele Sterczyk
- Department of Neuropathology, Charité, Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, Berlin Institute of Health, Berlin, Germany
| | - Sarah Wendlinger
- Department of Neuropathology, Charité, Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, Berlin Institute of Health, Berlin, Germany.,Department of Biosciences, University of Salzburg, Salzburg, Austria
| | - Benedikt Obermayer
- Core Unit Bioinformatics, Berlin Institute of Health at Charité, Universitätsmedizin Berlin, Charitéplatz 1, Berlin, Germany
| | - Julia Schulz
- Department of Neuropathology, Charité, Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, Berlin Institute of Health, Berlin, Germany
| | - Vadim Farztdinov
- Core Facility, High-Throughput Mass Spectrometry, Charité, Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Berlin, Germany
| | - Michael Mülleder
- Core Facility, High-Throughput Mass Spectrometry, Charité, Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Berlin, Germany
| | - Markus Ralser
- Molecular Biology of Metabolism Laboratory, The Francis Crick Institute, London, UK.,Department of Biochemistry, Charité, Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Berlin, Germany
| | - Judith Houtman
- Department of Neuropathology, Charité, Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, Berlin Institute of Health, Berlin, Germany
| | - Lara Fleck
- Department of Neuropathology, Charité, Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, Berlin Institute of Health, Berlin, Germany
| | - Caroline Braeuning
- Genomics Technology Platform, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany.,Berlin Institute of Health (BIH), Berlin, Germany
| | - Roberto Sansevrino
- Laboratory of Molecular Neuroscience, German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, Berlin, Germany
| | - Christian Hoffmann
- Laboratory of Molecular Neuroscience, German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, Berlin, Germany
| | - Dragomir Milovanovic
- Laboratory of Molecular Neuroscience, German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, Berlin, Germany
| | - Stephan J Sigrist
- German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, Berlin, Germany.,Cluster of Excellence, NeuroCure, Berlin, Germany.,Institute for Biology and Genetics, Freie Universität Berlin, Berlin, Germany
| | - Thomas Conrad
- Genomics Technology Platform, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany.,Berlin Institute of Health (BIH), Berlin, Germany
| | - Dieter Beule
- Core Unit Bioinformatics, Berlin Institute of Health at Charité, Universitätsmedizin Berlin, Charitéplatz 1, Berlin, Germany
| | - Frank L Heppner
- Department of Neuropathology, Charité, Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, Berlin Institute of Health, Berlin, Germany.,German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, Berlin, Germany.,Cluster of Excellence, NeuroCure, Berlin, Germany
| | - Marina Jendrach
- Department of Neuropathology, Charité, Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, Berlin Institute of Health, Berlin, Germany.
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16
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Li XX, Zhang F. Targeting TREM2 for Parkinson's Disease: Where to Go? Front Immunol 2022; 12:795036. [PMID: 35003116 PMCID: PMC8740229 DOI: 10.3389/fimmu.2021.795036] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Accepted: 12/13/2021] [Indexed: 12/16/2022] Open
Abstract
Parkinson’s disease (PD) is one of most common neurodegenerative disorders caused by a combination of environmental and genetic risk factors. Currently, numerous population genetic studies have shown that polymorphisms in myeloid cell-triggered receptor II (TREM2) are associated with a variety of neurodegenerative disorders. Recently, TREM2 has been verified to represent a promising candidate gene for PD susceptibility and progression. For example, the expression of TREM2 was apparently increased in the prefrontal cortex of PD patients. Moreover, the rare missense mutations in TREM2 (rs75932628, p.R47H) was confirmed to be a risk factor of PD. In addition, overexpression of TREM2 reduced dopaminergic neurodegeneration in the 1-methyl-4-phenyl-1, 2, 3, 6-tetrahydropyridine mouse model of PD. Due to the complex pathogenesis of PD, there is still no effective drug treatment. Thus, TREM2 has received increasing widespread attention as a potential therapeutic target. This review focused on the variation of TREM2 in PD and roles of TREM2 in PD pathogenesis, such as excessive-immune inflammatory response, α-Synuclein aggregation and oxidative stress, to further provide evidence for new immune-related biomarkers and therapies for PD.
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Affiliation(s)
- Xiao-Xian Li
- Laboratory Animal Center and Key Laboratory of Basic Pharmacology of Ministry of Education, Zunyi Medical University, Zunyi, China
| | - Feng Zhang
- Laboratory Animal Center and Key Laboratory of Basic Pharmacology of Ministry of Education, Zunyi Medical University, Zunyi, China.,Joint International Research Laboratory of Ethnomedicine of Ministry of Education and Key Laboratory of Basic Pharmacology of Guizhou Province, Zunyi Medical University, Zunyi, China
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17
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Systematic Search for Novel Circulating Biomarkers Associated with Extracellular Vesicles in Alzheimer's Disease: Combining Literature Screening and Database Mining Approaches. J Pers Med 2021; 11:jpm11100946. [PMID: 34683087 PMCID: PMC8538213 DOI: 10.3390/jpm11100946] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Revised: 09/13/2021] [Accepted: 09/19/2021] [Indexed: 12/12/2022] Open
Abstract
miRNAs play an important role in neurodegenerative diseases. Many miRNA-target gene interactions (MTI) have been experimentally confirmed and associated with Alzheimer’s disease (AD). miRNAs may also be contained within extracellular vesicles (EVs), mediators of cellular communication and a potential source of circulating biomarkers in body fluids. Therefore, EV-associated miRNAs (EV-miRNAs) in peripheral blood could support earlier and less invasive AD diagnostics. We aimed to prioritize EV-related miRNA with AD-related genes and to identify the most promising candidates for novel AD biomarkers. A list of unique EV-miRNAs from the literature was combined with a known set of AD risk genes and enriched for MTI. Additionally, miRNAs associated with the AD phenotype were combined with all known target genes in MTI enrichment. Expression in different sample types was analyzed to identify AD-associated miRNAs with the greatest potential as AD circulating biomarkers. Four common MTI were observed between EV-miRNAs and AD-associated miRNAs: hsa-miR-375–APH1B, hsa-miR-107–CDC42SE2, hsa-miR-375–CELF2, and hsa-miR-107–IL6. An additional 61 out of 169 unique miRNAs (36.1%) and seven out of 84 unique MTI (8.3%), observed in the body fluids of AD patients, were proposed as very strong AD-circulating biomarker candidates. Our analysis summarized several potential novel AD biomarkers, but further studies are needed to evaluate their potential in clinical practice.
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