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Vascular risk factors and astrocytic marker for the glymphatic system activity
OBJECTIVES: Glymphatic system maintains brain fluid circulation via active transportation of astrocytic aquaporin-4 in perivascular space. The diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) is an established method measuring perivascular glymphatic activity, but comprehens...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Milan
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10474179/ https://www.ncbi.nlm.nih.gov/pubmed/37462887 http://dx.doi.org/10.1007/s11547-023-01675-w |
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author | Wei, Yi-Chia Hsu, Chih-Chin Heather Huang, Wen-Yi Lin, Chemin Chen, Chih-Ken Chen, Yao-Liang Chen, Pin-Yuan Shyu, Yu-Chiau Lin, Ching-Po |
author_facet | Wei, Yi-Chia Hsu, Chih-Chin Heather Huang, Wen-Yi Lin, Chemin Chen, Chih-Ken Chen, Yao-Liang Chen, Pin-Yuan Shyu, Yu-Chiau Lin, Ching-Po |
author_sort | Wei, Yi-Chia |
collection | PubMed |
description | OBJECTIVES: Glymphatic system maintains brain fluid circulation via active transportation of astrocytic aquaporin-4 in perivascular space. The diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) is an established method measuring perivascular glymphatic activity, but comprehensive investigations into its influential factors are lacking. METHODS: Community-dwelling older adults underwent brain MRI scans, neuropsychiatric, and multi-domain assessments. Blood biomarker tests included glial fibrillary acidic protein (GFAP) for astrocyte injury. RESULTS: In 71 enrolled participants, the DTI-ALPS index was associated with modifiable factors, including lipid profile (high-density lipoprotein, r = 0.396; very-low-density lipoprotein, r = − 0.342), glucose intolerance (diabetes mellitus, standardized mean difference (SMD) = 0.7662; glycated hemoglobin, r = − 0.324), obesity (body mass index, r = − 0.295; waist, r = − 0.455), metabolic syndrome (SMD = − 0.6068), cigarette-smoking (SMD = − 0.6292), and renal clearance (creatinine, r = − 0.387; blood urea nitrogen, r = − 0.303). Unmodifiable associative factors of DTI-ALPS were age (r = − 0.434) and sex (SMD = 1.0769) (all p < 0.05). A correlation of DTI-ALPS and blood GFAP was noticed (r = − 0.201, one-tailed t-test for the assumption that astrocytic injury impaired glymphatic activity, p = 0.046). Their cognitive correlations diverged, domain-specific for DTI-ALPS (Facial Memory Test, r = 0.272, p = 0.022) but global cognition-related for blood GFAP (MoCA, r = − 0.264, p = 0.026; ADAS-cog, r = 0.304, p = 0.010). CONCLUSION: This correlation analysis revealed multiple modifiable and unmodifiable association factors to the glymphatic image marker. The DTI-ALPS index correlated with various metabolic factors that are known to increase the risk of vascular diseases such as atherosclerosis. Furthermore, the DTI-ALPS index was associated with renal indices, and this connection might be a link of water regulation between the two systems. In addition, the astrocytic biomarker, plasma GFAP, might be a potential marker of the glymphatic system; however, more research is needed to confirm its effectiveness. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11547-023-01675-w. |
format | Online Article Text |
id | pubmed-10474179 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Milan |
record_format | MEDLINE/PubMed |
spelling | pubmed-104741792023-09-03 Vascular risk factors and astrocytic marker for the glymphatic system activity Wei, Yi-Chia Hsu, Chih-Chin Heather Huang, Wen-Yi Lin, Chemin Chen, Chih-Ken Chen, Yao-Liang Chen, Pin-Yuan Shyu, Yu-Chiau Lin, Ching-Po Radiol Med Magnetic Resonance Imaging OBJECTIVES: Glymphatic system maintains brain fluid circulation via active transportation of astrocytic aquaporin-4 in perivascular space. The diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) is an established method measuring perivascular glymphatic activity, but comprehensive investigations into its influential factors are lacking. METHODS: Community-dwelling older adults underwent brain MRI scans, neuropsychiatric, and multi-domain assessments. Blood biomarker tests included glial fibrillary acidic protein (GFAP) for astrocyte injury. RESULTS: In 71 enrolled participants, the DTI-ALPS index was associated with modifiable factors, including lipid profile (high-density lipoprotein, r = 0.396; very-low-density lipoprotein, r = − 0.342), glucose intolerance (diabetes mellitus, standardized mean difference (SMD) = 0.7662; glycated hemoglobin, r = − 0.324), obesity (body mass index, r = − 0.295; waist, r = − 0.455), metabolic syndrome (SMD = − 0.6068), cigarette-smoking (SMD = − 0.6292), and renal clearance (creatinine, r = − 0.387; blood urea nitrogen, r = − 0.303). Unmodifiable associative factors of DTI-ALPS were age (r = − 0.434) and sex (SMD = 1.0769) (all p < 0.05). A correlation of DTI-ALPS and blood GFAP was noticed (r = − 0.201, one-tailed t-test for the assumption that astrocytic injury impaired glymphatic activity, p = 0.046). Their cognitive correlations diverged, domain-specific for DTI-ALPS (Facial Memory Test, r = 0.272, p = 0.022) but global cognition-related for blood GFAP (MoCA, r = − 0.264, p = 0.026; ADAS-cog, r = 0.304, p = 0.010). CONCLUSION: This correlation analysis revealed multiple modifiable and unmodifiable association factors to the glymphatic image marker. The DTI-ALPS index correlated with various metabolic factors that are known to increase the risk of vascular diseases such as atherosclerosis. Furthermore, the DTI-ALPS index was associated with renal indices, and this connection might be a link of water regulation between the two systems. In addition, the astrocytic biomarker, plasma GFAP, might be a potential marker of the glymphatic system; however, more research is needed to confirm its effectiveness. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11547-023-01675-w. Springer Milan 2023-07-18 2023 /pmc/articles/PMC10474179/ /pubmed/37462887 http://dx.doi.org/10.1007/s11547-023-01675-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Magnetic Resonance Imaging Wei, Yi-Chia Hsu, Chih-Chin Heather Huang, Wen-Yi Lin, Chemin Chen, Chih-Ken Chen, Yao-Liang Chen, Pin-Yuan Shyu, Yu-Chiau Lin, Ching-Po Vascular risk factors and astrocytic marker for the glymphatic system activity |
title | Vascular risk factors and astrocytic marker for the glymphatic system activity |
title_full | Vascular risk factors and astrocytic marker for the glymphatic system activity |
title_fullStr | Vascular risk factors and astrocytic marker for the glymphatic system activity |
title_full_unstemmed | Vascular risk factors and astrocytic marker for the glymphatic system activity |
title_short | Vascular risk factors and astrocytic marker for the glymphatic system activity |
title_sort | vascular risk factors and astrocytic marker for the glymphatic system activity |
topic | Magnetic Resonance Imaging |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10474179/ https://www.ncbi.nlm.nih.gov/pubmed/37462887 http://dx.doi.org/10.1007/s11547-023-01675-w |
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