@article{RN294,
   author = {van Dinther, M. and Schram, M. T. and Jansen, J. F. A. and Backes, W. H. and Houben, Ajhm and Berendschot, Ttjm and Schalkwijk, C. G. and Stehouwer, C. D. A. and van Oostenbrugge, R. J. and Staals, J.},
   title = {Extracerebral microvascular dysfunction is related to brain MRI markers of cerebral small vessel disease: The Maastricht Study},
   journal = {Geroscience},
   note = {van Dinther, Maud
Schram, Miranda T
Jansen, Jacobus F A
Backes, Walter H
Houben, Alfons J H M
Berendschot, Tos T J M
Schalkwijk, Casper G
Stehouwer, Coen D A
van Oostenbrugge, Robert J
Staals, Julie
eng
31O/European Regional Development Fund
041/European Regional Development Fund
848109/European Union's Horizon 2020 research and innovation programme
Switzerland
Geroscience. 2021 Nov 23. pii: 10.1007/s11357-021-00493-0. doi: 10.1007/s11357-021-00493-0.},
   abstract = {BACKGROUND: Cerebral small vessel disease (cSVD) is a late consequence of cerebral microvascular dysfunction (MVD). MVD is hard to measure in the brain due to its limited accessibility. Extracerebral MVD (eMVD) measures can give insights in the etiology of cerebral MVD, as MVD may be a systemic process. We aim to investigate whether a compound score consisting of several eMVD measures is associated with structural cSVD MRI markers. METHODS: Cross-sectional data of the population-based Maastricht Study was used (n = 1872, mean age 59 +/- 8 years, 49% women). Measures of eMVD included flicker light-induced retinal arteriolar and venular dilation response (retina), albuminuria and glomerular filtration rate (kidney), heat-induced skin hyperemia (skin), and plasma biomarkers of endothelial dysfunction (sICAM-1, sVCAM-1, sE-selectin, and von Willebrand factor). These measures were standardized into z scores and summarized into a compound score. Linear and logistic regression analyses were used to investigate the associations between the compound score and white matter hyperintensity (WMH) volume, and the presence of lacunes and microbleeds, as measured by brain MRI. RESULTS: The eMVD compound score was associated with WMH volume independent of age, sex, and cardiovascular risk factors (St beta 0.057 [95% CI 0.010-0.081], p value 0.01), but not with the presence of lacunes (OR 1.011 [95% CI 0.803-1.273], p value 0.92) or microbleeds (OR 1.055 [95% CI 0.896-1.242], p value 0.52). CONCLUSION: A compound score of eMVD is associated with WMH volume. Further research is needed to expand the knowledge about the role of systemic MVD in the pathophysiology of cSVD.},
   keywords = {Cerebral small vessel disease
Microcirculation
Microvascular dysfunction
White matter hyperintensities},
   ISSN = {2509-2723 (Electronic)
2509-2723 (Linking)},
   DOI = {10.1007/s11357-021-00493-0},
   url = {https://www.ncbi.nlm.nih.gov/pubmed/34816376},
   year = {2021},
   type = {Journal Article}
}

{"_id":"RTHxeMaPbCawmD5JM","bibbaseid":"vandinther-schram-jansen-backes-houben-berendschot-schalkwijk-stehouwer-etal-extracerebralmicrovasculardysfunctionisrelatedtobrainmrimarkersofcerebralsmallvesseldiseasethemaastrichtstudy-2021","author_short":["van Dinther, M.","Schram, M. T.","Jansen, J. F. A.","Backes, W. H.","Houben, A.","Berendschot, T.","Schalkwijk, C. G.","Stehouwer, C. D. A.","van Oostenbrugge, R. J.","Staals, J."],"bibdata":{"bibtype":"article","type":"Journal Article","author":[{"propositions":["van"],"lastnames":["Dinther"],"firstnames":["M."],"suffixes":[]},{"propositions":[],"lastnames":["Schram"],"firstnames":["M.","T."],"suffixes":[]},{"propositions":[],"lastnames":["Jansen"],"firstnames":["J.","F.","A."],"suffixes":[]},{"propositions":[],"lastnames":["Backes"],"firstnames":["W.","H."],"suffixes":[]},{"propositions":[],"lastnames":["Houben"],"firstnames":["Ajhm"],"suffixes":[]},{"propositions":[],"lastnames":["Berendschot"],"firstnames":["Ttjm"],"suffixes":[]},{"propositions":[],"lastnames":["Schalkwijk"],"firstnames":["C.","G."],"suffixes":[]},{"propositions":[],"lastnames":["Stehouwer"],"firstnames":["C.","D.","A."],"suffixes":[]},{"propositions":["van"],"lastnames":["Oostenbrugge"],"firstnames":["R.","J."],"suffixes":[]},{"propositions":[],"lastnames":["Staals"],"firstnames":["J."],"suffixes":[]}],"title":"Extracerebral microvascular dysfunction is related to brain MRI markers of cerebral small vessel disease: The Maastricht Study","journal":"Geroscience","note":"van Dinther, Maud Schram, Miranda T Jansen, Jacobus F A Backes, Walter H Houben, Alfons J H M Berendschot, Tos T J M Schalkwijk, Casper G Stehouwer, Coen D A van Oostenbrugge, Robert J Staals, Julie eng 31O/European Regional Development Fund 041/European Regional Development Fund 848109/European Union's Horizon 2020 research and innovation programme Switzerland Geroscience. 2021 Nov 23. pii: 10.1007/s11357-021-00493-0. doi: 10.1007/s11357-021-00493-0.","abstract":"BACKGROUND: Cerebral small vessel disease (cSVD) is a late consequence of cerebral microvascular dysfunction (MVD). MVD is hard to measure in the brain due to its limited accessibility. Extracerebral MVD (eMVD) measures can give insights in the etiology of cerebral MVD, as MVD may be a systemic process. We aim to investigate whether a compound score consisting of several eMVD measures is associated with structural cSVD MRI markers. METHODS: Cross-sectional data of the population-based Maastricht Study was used (n = 1872, mean age 59 +/- 8 years, 49% women). Measures of eMVD included flicker light-induced retinal arteriolar and venular dilation response (retina), albuminuria and glomerular filtration rate (kidney), heat-induced skin hyperemia (skin), and plasma biomarkers of endothelial dysfunction (sICAM-1, sVCAM-1, sE-selectin, and von Willebrand factor). These measures were standardized into z scores and summarized into a compound score. Linear and logistic regression analyses were used to investigate the associations between the compound score and white matter hyperintensity (WMH) volume, and the presence of lacunes and microbleeds, as measured by brain MRI. RESULTS: The eMVD compound score was associated with WMH volume independent of age, sex, and cardiovascular risk factors (St beta 0.057 [95% CI 0.010-0.081], p value 0.01), but not with the presence of lacunes (OR 1.011 [95% CI 0.803-1.273], p value 0.92) or microbleeds (OR 1.055 [95% CI 0.896-1.242], p value 0.52). CONCLUSION: A compound score of eMVD is associated with WMH volume. Further research is needed to expand the knowledge about the role of systemic MVD in the pathophysiology of cSVD.","keywords":"Cerebral small vessel disease Microcirculation Microvascular dysfunction White matter hyperintensities","issn":"2509-2723 (Electronic) 2509-2723 (Linking)","doi":"10.1007/s11357-021-00493-0","url":"https://www.ncbi.nlm.nih.gov/pubmed/34816376","year":"2021","bibtex":"@article{RN294,\n author = {van Dinther, M. and Schram, M. T. and Jansen, J. F. A. and Backes, W. H. and Houben, Ajhm and Berendschot, Ttjm and Schalkwijk, C. G. and Stehouwer, C. D. A. and van Oostenbrugge, R. J. and Staals, J.},\n title = {Extracerebral microvascular dysfunction is related to brain MRI markers of cerebral small vessel disease: The Maastricht Study},\n journal = {Geroscience},\n note = {van Dinther, Maud\nSchram, Miranda T\nJansen, Jacobus F A\nBackes, Walter H\nHouben, Alfons J H M\nBerendschot, Tos T J M\nSchalkwijk, Casper G\nStehouwer, Coen D A\nvan Oostenbrugge, Robert J\nStaals, Julie\neng\n31O/European Regional Development Fund\n041/European Regional Development Fund\n848109/European Union's Horizon 2020 research and innovation programme\nSwitzerland\nGeroscience. 2021 Nov 23. pii: 10.1007/s11357-021-00493-0. doi: 10.1007/s11357-021-00493-0.},\n abstract = {BACKGROUND: Cerebral small vessel disease (cSVD) is a late consequence of cerebral microvascular dysfunction (MVD). MVD is hard to measure in the brain due to its limited accessibility. Extracerebral MVD (eMVD) measures can give insights in the etiology of cerebral MVD, as MVD may be a systemic process. We aim to investigate whether a compound score consisting of several eMVD measures is associated with structural cSVD MRI markers. METHODS: Cross-sectional data of the population-based Maastricht Study was used (n = 1872, mean age 59 +/- 8 years, 49% women). Measures of eMVD included flicker light-induced retinal arteriolar and venular dilation response (retina), albuminuria and glomerular filtration rate (kidney), heat-induced skin hyperemia (skin), and plasma biomarkers of endothelial dysfunction (sICAM-1, sVCAM-1, sE-selectin, and von Willebrand factor). These measures were standardized into z scores and summarized into a compound score. Linear and logistic regression analyses were used to investigate the associations between the compound score and white matter hyperintensity (WMH) volume, and the presence of lacunes and microbleeds, as measured by brain MRI. RESULTS: The eMVD compound score was associated with WMH volume independent of age, sex, and cardiovascular risk factors (St beta 0.057 [95% CI 0.010-0.081], p value 0.01), but not with the presence of lacunes (OR 1.011 [95% CI 0.803-1.273], p value 0.92) or microbleeds (OR 1.055 [95% CI 0.896-1.242], p value 0.52). CONCLUSION: A compound score of eMVD is associated with WMH volume. Further research is needed to expand the knowledge about the role of systemic MVD in the pathophysiology of cSVD.},\n keywords = {Cerebral small vessel disease\nMicrocirculation\nMicrovascular dysfunction\nWhite matter hyperintensities},\n ISSN = {2509-2723 (Electronic)\n2509-2723 (Linking)},\n DOI = {10.1007/s11357-021-00493-0},\n url = {https://www.ncbi.nlm.nih.gov/pubmed/34816376},\n year = {2021},\n type = {Journal Article}\n}\n\n","author_short":["van Dinther, M.","Schram, M. T.","Jansen, J. F. A.","Backes, W. H.","Houben, A.","Berendschot, T.","Schalkwijk, C. G.","Stehouwer, C. D. A.","van Oostenbrugge, R. J.","Staals, J."],"key":"RN294","id":"RN294","bibbaseid":"vandinther-schram-jansen-backes-houben-berendschot-schalkwijk-stehouwer-etal-extracerebralmicrovasculardysfunctionisrelatedtobrainmrimarkersofcerebralsmallvesseldiseasethemaastrichtstudy-2021","role":"author","urls":{"Paper":"https://www.ncbi.nlm.nih.gov/pubmed/34816376"},"keyword":["Cerebral small vessel disease Microcirculation Microvascular dysfunction White matter hyperintensities"],"metadata":{"authorlinks":{}},"html":""},"bibtype":"article","biburl":"https://raw.githubusercontent.com/jansenjfa1/bibbase.github.io/master/jansenjfa.bib","dataSources":["TCkfRWJAZvbLAZi29"],"keywords":["cerebral small vessel disease microcirculation microvascular dysfunction white matter hyperintensities"],"search_terms":["extracerebral","microvascular","dysfunction","related","brain","mri","markers","cerebral","small","vessel","disease","maastricht","study","van dinther","schram","jansen","backes","houben","berendschot","schalkwijk","stehouwer","van oostenbrugge","staals"],"title":"Extracerebral microvascular dysfunction is related to brain MRI markers of cerebral small vessel disease: The Maastricht Study","year":2021}