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 comprehensi...
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| Veröffentlicht in: | Radiologia medica 2023-09, Vol.128 (9), p.1148-1161 |
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| creator | 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 |
| 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
|
| doi_str_mv | 10.1007/s11547-023-01675-w |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10474179</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2859922951</sourcerecordid><originalsourceid>FETCH-LOGICAL-c541t-6db44ff9205cc03b9aaf83d0b7edc1f8ce8e1e53de87cd8c8bb9af315c4c13df3</originalsourceid><addsrcrecordid>eNp9kc1O3DAUha0KVAbaF-gCWWLTTYr_EtsrhBCllUawod1ajmPPZEjiwXZAefsaZjqdsmDlK53vHN-rA8AXjL5hhPh5xLhkvECEFghXvCyeP4AZFqQqKinowd58BI5jXCHEEEbyIziinFVECD4Dt791NGOnAwxtfIBOm-RDhHpooI4peDOl1sBehwcboPMBpqWFi27q10v9osQpJtvDbGuf2jR9AodOd9F-3r4n4Nf36_urH8X87ubn1eW8MCXDqaiamjHnJEGlMYjWUmsnaINqbhuDnTBWWGxL2ljBTSOMqDPiKC4NM5g2jp6Ai03ueqz77LFDCrpT69DmVSfldav-V4Z2qRb-SWHEOMNc5oSv24TgH0cbk-rbaGzX6cH6MSoiqCSME0oyevYGXfkxDPm-TJVSEiJLnCmyoUzwMQbrdttgpF76Upu-VO5LvfalnrPpdP-OneVvQRmgGyBmaVjY8O_vd2L_AH-2pFI</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2859922951</pqid></control><display><type>article</type><title>Vascular risk factors and astrocytic marker for the glymphatic system activity</title><source>Springer LINK 全文期刊数据库</source><creator>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</creator><creatorcontrib>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</creatorcontrib><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.</description><identifier>ISSN: 1826-6983</identifier><identifier>ISSN: 0033-8362</identifier><identifier>EISSN: 1826-6983</identifier><identifier>DOI: 10.1007/s11547-023-01675-w</identifier><identifier>PMID: 37462887</identifier><language>eng</language><publisher>Milan: Springer Milan</publisher><subject>Atherosclerosis ; Biomarkers ; Blood ; Body size ; Brain ; Cognition ; Correlation analysis ; Creatinine ; Density ; Diabetes mellitus ; Diagnostic Radiology ; Imaging ; Interventional Radiology ; Lipids ; Magnetic Resonance Imaging ; Medicine ; Medicine & Public Health ; Metabolic disorders ; Metabolism ; Neuroradiology ; Radiology ; Tensors ; Ultrasound</subject><ispartof>Radiologia medica, 2023-09, Vol.128 (9), p.1148-1161</ispartof><rights>The Author(s) 2023</rights><rights>2023. The Author(s).</rights><rights>The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c541t-6db44ff9205cc03b9aaf83d0b7edc1f8ce8e1e53de87cd8c8bb9af315c4c13df3</citedby><cites>FETCH-LOGICAL-c541t-6db44ff9205cc03b9aaf83d0b7edc1f8ce8e1e53de87cd8c8bb9af315c4c13df3</cites><orcidid>0000-0001-6085-3134</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11547-023-01675-w$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11547-023-01675-w$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>230,314,780,784,885,27922,27923,41486,42555,51317</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37462887$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wei, Yi-Chia</creatorcontrib><creatorcontrib>Hsu, Chih-Chin Heather</creatorcontrib><creatorcontrib>Huang, Wen-Yi</creatorcontrib><creatorcontrib>Lin, Chemin</creatorcontrib><creatorcontrib>Chen, Chih-Ken</creatorcontrib><creatorcontrib>Chen, Yao-Liang</creatorcontrib><creatorcontrib>Chen, Pin-Yuan</creatorcontrib><creatorcontrib>Shyu, Yu-Chiau</creatorcontrib><creatorcontrib>Lin, Ching-Po</creatorcontrib><title>Vascular risk factors and astrocytic marker for the glymphatic system activity</title><title>Radiologia medica</title><addtitle>Radiol med</addtitle><addtitle>Radiol Med</addtitle><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.</description><subject>Atherosclerosis</subject><subject>Biomarkers</subject><subject>Blood</subject><subject>Body size</subject><subject>Brain</subject><subject>Cognition</subject><subject>Correlation analysis</subject><subject>Creatinine</subject><subject>Density</subject><subject>Diabetes mellitus</subject><subject>Diagnostic Radiology</subject><subject>Imaging</subject><subject>Interventional Radiology</subject><subject>Lipids</subject><subject>Magnetic Resonance Imaging</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Metabolic disorders</subject><subject>Metabolism</subject><subject>Neuroradiology</subject><subject>Radiology</subject><subject>Tensors</subject><subject>Ultrasound</subject><issn>1826-6983</issn><issn>0033-8362</issn><issn>1826-6983</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><recordid>eNp9kc1O3DAUha0KVAbaF-gCWWLTTYr_EtsrhBCllUawod1ajmPPZEjiwXZAefsaZjqdsmDlK53vHN-rA8AXjL5hhPh5xLhkvECEFghXvCyeP4AZFqQqKinowd58BI5jXCHEEEbyIziinFVECD4Dt791NGOnAwxtfIBOm-RDhHpooI4peDOl1sBehwcboPMBpqWFi27q10v9osQpJtvDbGuf2jR9AodOd9F-3r4n4Nf36_urH8X87ubn1eW8MCXDqaiamjHnJEGlMYjWUmsnaINqbhuDnTBWWGxL2ljBTSOMqDPiKC4NM5g2jp6Ai03ueqz77LFDCrpT69DmVSfldav-V4Z2qRb-SWHEOMNc5oSv24TgH0cbk-rbaGzX6cH6MSoiqCSME0oyevYGXfkxDPm-TJVSEiJLnCmyoUzwMQbrdttgpF76Upu-VO5LvfalnrPpdP-OneVvQRmgGyBmaVjY8O_vd2L_AH-2pFI</recordid><startdate>20230901</startdate><enddate>20230901</enddate><creator>Wei, Yi-Chia</creator><creator>Hsu, Chih-Chin Heather</creator><creator>Huang, Wen-Yi</creator><creator>Lin, Chemin</creator><creator>Chen, Chih-Ken</creator><creator>Chen, Yao-Liang</creator><creator>Chen, Pin-Yuan</creator><creator>Shyu, Yu-Chiau</creator><creator>Lin, Ching-Po</creator><general>Springer Milan</general><general>Springer Nature B.V</general><scope>C6C</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-6085-3134</orcidid></search><sort><creationdate>20230901</creationdate><title>Vascular risk factors and astrocytic marker for the glymphatic system activity</title><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></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c541t-6db44ff9205cc03b9aaf83d0b7edc1f8ce8e1e53de87cd8c8bb9af315c4c13df3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Atherosclerosis</topic><topic>Biomarkers</topic><topic>Blood</topic><topic>Body size</topic><topic>Brain</topic><topic>Cognition</topic><topic>Correlation analysis</topic><topic>Creatinine</topic><topic>Density</topic><topic>Diabetes mellitus</topic><topic>Diagnostic Radiology</topic><topic>Imaging</topic><topic>Interventional Radiology</topic><topic>Lipids</topic><topic>Magnetic Resonance Imaging</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Metabolic disorders</topic><topic>Metabolism</topic><topic>Neuroradiology</topic><topic>Radiology</topic><topic>Tensors</topic><topic>Ultrasound</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wei, Yi-Chia</creatorcontrib><creatorcontrib>Hsu, Chih-Chin Heather</creatorcontrib><creatorcontrib>Huang, Wen-Yi</creatorcontrib><creatorcontrib>Lin, Chemin</creatorcontrib><creatorcontrib>Chen, Chih-Ken</creatorcontrib><creatorcontrib>Chen, Yao-Liang</creatorcontrib><creatorcontrib>Chen, Pin-Yuan</creatorcontrib><creatorcontrib>Shyu, Yu-Chiau</creatorcontrib><creatorcontrib>Lin, Ching-Po</creatorcontrib><collection>SpringerOpen</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Radiologia medica</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wei, Yi-Chia</au><au>Hsu, Chih-Chin Heather</au><au>Huang, Wen-Yi</au><au>Lin, Chemin</au><au>Chen, Chih-Ken</au><au>Chen, Yao-Liang</au><au>Chen, Pin-Yuan</au><au>Shyu, Yu-Chiau</au><au>Lin, Ching-Po</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Vascular risk factors and astrocytic marker for the glymphatic system activity</atitle><jtitle>Radiologia medica</jtitle><stitle>Radiol med</stitle><addtitle>Radiol Med</addtitle><date>2023-09-01</date><risdate>2023</risdate><volume>128</volume><issue>9</issue><spage>1148</spage><epage>1161</epage><pages>1148-1161</pages><issn>1826-6983</issn><issn>0033-8362</issn><eissn>1826-6983</eissn><abstract>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.</abstract><cop>Milan</cop><pub>Springer Milan</pub><pmid>37462887</pmid><doi>10.1007/s11547-023-01675-w</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0001-6085-3134</orcidid><oa>free_for_read</oa></addata></record> |
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| language | eng |
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| source | Springer LINK 全文期刊数据库 |
| subjects | Atherosclerosis Biomarkers Blood Body size Brain Cognition Correlation analysis Creatinine Density Diabetes mellitus Diagnostic Radiology Imaging Interventional Radiology Lipids Magnetic Resonance Imaging Medicine Medicine & Public Health Metabolic disorders Metabolism Neuroradiology Radiology Tensors Ultrasound |
| title | Vascular risk factors and astrocytic marker for the glymphatic system activity |
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