The intersection between circulatory microRNAs and biomarkers of neurodegeneration
Abstract Background MicroRNAs (miRNAs) are small non-coding RNAs with a vast array of biological functions, including the regulation of gene expression. It remains to be determined whether circulatory miRNAs are associated with markers of neurodegeneration in plasma (neurofilament light chain (NfL),...
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BMC
2025-07-01
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| Series: | Alzheimer’s Research & Therapy |
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| Online Access: | https://doi.org/10.1186/s13195-025-01831-6 |
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| author | Amber Yaqub Rima Mustafa M. Arfan Ikram Mohsen Ghanbari |
| author_facet | Amber Yaqub Rima Mustafa M. Arfan Ikram Mohsen Ghanbari |
| author_sort | Amber Yaqub |
| collection | DOAJ |
| description | Abstract Background MicroRNAs (miRNAs) are small non-coding RNAs with a vast array of biological functions, including the regulation of gene expression. It remains to be determined whether circulatory miRNAs are associated with markers of neurodegeneration in plasma (neurofilament light chain (NfL), total tau (t-tau) and amyloid beta (Aβ)), before the clinical onset of dementia. Methods We included 1959 dementia-free participants of the population-based Rotterdam Study (mean age 70.5 years, 56.8% women), who visited the research center for blood sampling between 2002 and 2005. Plasma levels of 591 well-expressed circulatory miRNAs were measured by the HTG EdgeSeq Whole Transcriptome Assay, while t-tau, NfL, Aβ-40 and Aβ-42 were analysed using the Simoa NF-light® and N3PA assays. We used linear regression models to determine associations between circulatory miRNAs and markers of neurodegeneration, while adjusting for potential confounders. To account for the high-dimensional structure of miRNAs, we repeated the analysis using elastic net regularization models. Finally, we performed a post-hoc in-silico analysis to study the common miRNAs between all four biomarkers, their potential target genes and their link to dementia. Results We found 58 miRNAs significantly associated with t-tau, 96 miRNAs with NfL, 158 miRNAs with Aβ-40, and 83 miRNAs with Aβ-42 (all with false discovery rate (FDR)-adjusted p-value ≤ 0.05). Notably, twelve miRNAs (miR-3141, miR-7107-5p, miR-146a-5p, miR-6887-5p, miR-221-3p, miR-4681, miR-6810-3p, miR-6821-5p, miR-654-5p, miR-4486, miR-4478, miR-326) were shared among all four neurodegeneration biomarkers. Subsequent in-silico analysis showed that many of these miRNAs are expressed across various brain regions, where they have important putative target genes (e.g., SORT1, TSPAN14, ADAM17, KLF16, WDR12). A pathway analysis highlighted the Notch signalling cascade, with possible implications for the amyloid precursor protein (APP). Conclusions This population-based study revealed many circulatory miRNAs associated with biomarkers of neurodegeneration, including 12 miRNAs that were common to all, potentially offering valuable insights into regulatory pathways underlying dementia. These miRNAs could be valuable for monitoring dementia and developing effective diagnostic or therapeutic strategies. |
| format | Article |
| id | doaj-art-0d339b0a7e954a70aae76c63ed24b16f |
| institution | DOAJ |
| issn | 1758-9193 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | BMC |
| record_format | Article |
| series | Alzheimer’s Research & Therapy |
| spelling | doaj-art-0d339b0a7e954a70aae76c63ed24b16f2025-08-20T03:04:22ZengBMCAlzheimer’s Research & Therapy1758-91932025-07-0117111310.1186/s13195-025-01831-6The intersection between circulatory microRNAs and biomarkers of neurodegenerationAmber Yaqub0Rima Mustafa1M. Arfan Ikram2Mohsen Ghanbari3Department of Epidemiology, Erasmus University Medical CenterNuffield Department of Population Health, University of OxfordDepartment of Epidemiology, Erasmus University Medical CenterDepartment of Epidemiology, Erasmus University Medical CenterAbstract Background MicroRNAs (miRNAs) are small non-coding RNAs with a vast array of biological functions, including the regulation of gene expression. It remains to be determined whether circulatory miRNAs are associated with markers of neurodegeneration in plasma (neurofilament light chain (NfL), total tau (t-tau) and amyloid beta (Aβ)), before the clinical onset of dementia. Methods We included 1959 dementia-free participants of the population-based Rotterdam Study (mean age 70.5 years, 56.8% women), who visited the research center for blood sampling between 2002 and 2005. Plasma levels of 591 well-expressed circulatory miRNAs were measured by the HTG EdgeSeq Whole Transcriptome Assay, while t-tau, NfL, Aβ-40 and Aβ-42 were analysed using the Simoa NF-light® and N3PA assays. We used linear regression models to determine associations between circulatory miRNAs and markers of neurodegeneration, while adjusting for potential confounders. To account for the high-dimensional structure of miRNAs, we repeated the analysis using elastic net regularization models. Finally, we performed a post-hoc in-silico analysis to study the common miRNAs between all four biomarkers, their potential target genes and their link to dementia. Results We found 58 miRNAs significantly associated with t-tau, 96 miRNAs with NfL, 158 miRNAs with Aβ-40, and 83 miRNAs with Aβ-42 (all with false discovery rate (FDR)-adjusted p-value ≤ 0.05). Notably, twelve miRNAs (miR-3141, miR-7107-5p, miR-146a-5p, miR-6887-5p, miR-221-3p, miR-4681, miR-6810-3p, miR-6821-5p, miR-654-5p, miR-4486, miR-4478, miR-326) were shared among all four neurodegeneration biomarkers. Subsequent in-silico analysis showed that many of these miRNAs are expressed across various brain regions, where they have important putative target genes (e.g., SORT1, TSPAN14, ADAM17, KLF16, WDR12). A pathway analysis highlighted the Notch signalling cascade, with possible implications for the amyloid precursor protein (APP). Conclusions This population-based study revealed many circulatory miRNAs associated with biomarkers of neurodegeneration, including 12 miRNAs that were common to all, potentially offering valuable insights into regulatory pathways underlying dementia. These miRNAs could be valuable for monitoring dementia and developing effective diagnostic or therapeutic strategies.https://doi.org/10.1186/s13195-025-01831-6microRNANeurodegenerationAmyloid betaNeurofilament light chainTau |
| spellingShingle | Amber Yaqub Rima Mustafa M. Arfan Ikram Mohsen Ghanbari The intersection between circulatory microRNAs and biomarkers of neurodegeneration Alzheimer’s Research & Therapy microRNA Neurodegeneration Amyloid beta Neurofilament light chain Tau |
| title | The intersection between circulatory microRNAs and biomarkers of neurodegeneration |
| title_full | The intersection between circulatory microRNAs and biomarkers of neurodegeneration |
| title_fullStr | The intersection between circulatory microRNAs and biomarkers of neurodegeneration |
| title_full_unstemmed | The intersection between circulatory microRNAs and biomarkers of neurodegeneration |
| title_short | The intersection between circulatory microRNAs and biomarkers of neurodegeneration |
| title_sort | intersection between circulatory micrornas and biomarkers of neurodegeneration |
| topic | microRNA Neurodegeneration Amyloid beta Neurofilament light chain Tau |
| url | https://doi.org/10.1186/s13195-025-01831-6 |
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