A circular RNA blood panel that differentiates Alzheimer’s disease from other dementia types
Abstract Background Circular RNAs (circRNAs) have been demonstrated to be associated with Alzheimer’s disease (AD). Here, we conducted a study to explore whether circRNAs have the ability to differentiate AD from cognitively normal controls and other types of dementia, such as vascular dementia (VaD...
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| Format: | Article |
| Language: | English |
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BMC
2022-08-01
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| Series: | Biomarker Research |
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| Online Access: | https://doi.org/10.1186/s40364-022-00405-0 |
| _version_ | 1798038926920777728 |
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| author | Ziye Ren Changbiao Chu Yana Pang Huimin Cai Longfei Jia |
| author_facet | Ziye Ren Changbiao Chu Yana Pang Huimin Cai Longfei Jia |
| author_sort | Ziye Ren |
| collection | DOAJ |
| description | Abstract Background Circular RNAs (circRNAs) have been demonstrated to be associated with Alzheimer’s disease (AD). Here, we conducted a study to explore whether circRNAs have the ability to differentiate AD from cognitively normal controls and other types of dementia, such as vascular dementia (VaD), Parkinson’s disease dementia (PDD), behavioral variant frontotemporal dementia (bvFTD), and dementia with Lewy body (DLB). Methods Three datasets were included in this study to measure blood circRNAs. The pilot study (Dataset 1, n = 40; controls, 20; AD, 20) was used to screen differentially expressed circRNAs. Dataset 2 (n = 124; controls, 61; AD, 63) was recruited for the establishment of the diagnostic model using a circRNA panel. Further, the Dataset 3 (n = 321; control, 58; AD, 60; VaD, 50; PDD, 51; bvFTD, 52; DLB, 50) was used to verify the diagnostic model. Results In Dataset 1, 22 upregulated and 19 downregulated circRNAs were revealed. In Dataset 2, a six-circRNA panel was found to be able to distinguish patients with AD from controls. Then this panel was applied to Dataset 3 and successfully differentiated AD from other types of dementia. Conclusion This study suggested that a six-circRNA panel is AD-specific and a promising biomarker of AD. |
| first_indexed | 2024-04-11T21:46:56Z |
| format | Article |
| id | doaj.art-96f9c9f5b9a44cd0996b039dfdf949cc |
| institution | Directory Open Access Journal |
| issn | 2050-7771 |
| language | English |
| last_indexed | 2024-04-11T21:46:56Z |
| publishDate | 2022-08-01 |
| publisher | BMC |
| record_format | Article |
| series | Biomarker Research |
| spelling | doaj.art-96f9c9f5b9a44cd0996b039dfdf949cc2022-12-22T04:01:24ZengBMCBiomarker Research2050-77712022-08-0110111010.1186/s40364-022-00405-0A circular RNA blood panel that differentiates Alzheimer’s disease from other dementia typesZiye Ren0Changbiao Chu1Yana Pang2Huimin Cai3Longfei Jia4Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric DiseasesInnovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric DiseasesInnovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric DiseasesInnovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric DiseasesInnovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric DiseasesAbstract Background Circular RNAs (circRNAs) have been demonstrated to be associated with Alzheimer’s disease (AD). Here, we conducted a study to explore whether circRNAs have the ability to differentiate AD from cognitively normal controls and other types of dementia, such as vascular dementia (VaD), Parkinson’s disease dementia (PDD), behavioral variant frontotemporal dementia (bvFTD), and dementia with Lewy body (DLB). Methods Three datasets were included in this study to measure blood circRNAs. The pilot study (Dataset 1, n = 40; controls, 20; AD, 20) was used to screen differentially expressed circRNAs. Dataset 2 (n = 124; controls, 61; AD, 63) was recruited for the establishment of the diagnostic model using a circRNA panel. Further, the Dataset 3 (n = 321; control, 58; AD, 60; VaD, 50; PDD, 51; bvFTD, 52; DLB, 50) was used to verify the diagnostic model. Results In Dataset 1, 22 upregulated and 19 downregulated circRNAs were revealed. In Dataset 2, a six-circRNA panel was found to be able to distinguish patients with AD from controls. Then this panel was applied to Dataset 3 and successfully differentiated AD from other types of dementia. Conclusion This study suggested that a six-circRNA panel is AD-specific and a promising biomarker of AD.https://doi.org/10.1186/s40364-022-00405-0Alzheimer’s diseaseDementiacircRNABiomarkerDiagnosis |
| spellingShingle | Ziye Ren Changbiao Chu Yana Pang Huimin Cai Longfei Jia A circular RNA blood panel that differentiates Alzheimer’s disease from other dementia types Biomarker Research Alzheimer’s disease Dementia circRNA Biomarker Diagnosis |
| title | A circular RNA blood panel that differentiates Alzheimer’s disease from other dementia types |
| title_full | A circular RNA blood panel that differentiates Alzheimer’s disease from other dementia types |
| title_fullStr | A circular RNA blood panel that differentiates Alzheimer’s disease from other dementia types |
| title_full_unstemmed | A circular RNA blood panel that differentiates Alzheimer’s disease from other dementia types |
| title_short | A circular RNA blood panel that differentiates Alzheimer’s disease from other dementia types |
| title_sort | circular rna blood panel that differentiates alzheimer s disease from other dementia types |
| topic | Alzheimer’s disease Dementia circRNA Biomarker Diagnosis |
| url | https://doi.org/10.1186/s40364-022-00405-0 |
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