White matter free water: a sensitive biomarker of small vascular disease for VCID research

Abstract Background In recent efforts to improve early identification, staging, and prediction of risk of persons at risk for vascular contributions to cognitive impairment and dementia (VCID) in relation with small vessel disease (SVD), the MarkVCID consortium has worked to identify and validate fluid‐ and imaging‐based biomarkers for SVD associated with VCID. Free water (FW) measured derived from diffusion tensor imaging and one of the selected neuroimaging biomarker “kits”, has been demonstrated to have excellent instrumental validity and to be a sensitive biomarker of cognitive performances. We sought to further examine FW clinical relevance by investigating whether FW predicts cognitive worsening over time. Method This study included 275 individuals from the MarkVCID‐1 cohort who received baseline MRI and clinical assessment, as well as a follow‐up clinical examination (mean time±SD: 1.31±0.49 years, Table 1). Our goal was to evaluate whether baseline mean FW (mFW) predicts change UDS3‐EF, a validated executive function composite score derived from the Uniform Data Set (v3.0). We used a linear mixed‐effect regression with EFC score as the outcome variable and time, baseline mFW, age, sex and education, as well as interactions between time and other variables as fixed effects, along with a random subject‐specific intercept and time slope (M1). In secondary models, we also adjusted for presence of diabetes, hypertension (M2) and white matter hyperintensities (log‐transformed, normalized for intracranial volume, M3) to estimate the added contribution of mFW above vascular risk factors and to and a classic SVD marker. Result We found a significant effect of time and mFW on EFC scores (b=‐0.63, p=0.0092 and b=‐0.22, p<0.0001 respectively, Table 2), indicating that IRT scores decrease with time and increased baseline mFW. The significant interaction between time and mFW (b=‐0.079, p=0.00075), indicated that increased baseline mFW is associated with accelerated EFC decline. Adding VRF and WMH burden to model M1 did not change these relationships (Table 2). Conclusion Our study revealed that baseline FW can predict cognitive worsening over a period as short as of 18 months, providing additional evidence of the clinical relevance of FW as a biomarker of SVD in the context of VCID research.

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Journal
Alzheimer s & Dementia
Published
2024-12-01
DOI
https://doi.org/10.1002/alz.086593
Primary Topic
Cardiovascular Disease and Adiposity
Type
article
Field-Weighted Citation Impact
0.00
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article

White matter free water: a sensitive biomarker of small vascular disease for VCID research

Brian T. Gold, Sudha S. Seshadri, Joel H. Kramer, Arvind Caprihan et al.
Alzheimer s & Dementia
Cardiovascular Disease and Adiposity
article

White matter free water: a sensitive biomarker of small vascular disease for VCID research

Brian T. Gold, Sudha S. Seshadri, Joel H. Kramer, Arvind Caprihan, Konstantinos Arfanakis, Pauline Maillard, Gary A. Rosenberg, Kristin Schwab, Steven Mark Greenberg, Danny J.J. Wang, Charles S DeCarli, Herpreet Singh, Karl G. Helmer, Claudia Liliana Satizábal, Hanzhang Lu
article en

Abstract

Abstract Background In recent efforts to improve early identification, staging, and prediction of risk of persons at risk for vascular contributions to cognitive impairment and dementia (VCID) in relation with small vessel disease (SVD), the MarkVCID consortium has worked to identify and validate fluid‐ and imaging‐based biomarkers for SVD associated with VCID. Free water (FW) measured derived from diffusion tensor imaging and one of the selected neuroimaging biomarker “kits”, has been demonstrated to have excellent instrumental validity and to be a sensitive biomarker of cognitive performances. We sought to further examine FW clinical relevance by investigating whether FW predicts cognitive worsening over time. Method This study included 275 individuals from the MarkVCID‐1 cohort who received baseline MRI and clinical assessment, as well as a follow‐up clinical examination (mean time±SD: 1.31±0.49 years, Table 1). Our goal was to evaluate whether baseline mean FW (mFW) predicts change UDS3‐EF, a validated executive function composite score derived from the Uniform Data Set (v3.0). We used a linear mixed‐effect regression with EFC score as the outcome variable and time, baseline mFW, age, sex and education, as well as interactions between time and other variables as fixed effects, along with a random subject‐specific intercept and time slope (M1). In secondary models, we also adjusted for presence of diabetes, hypertension (M2) and white matter hyperintensities (log‐transformed, normalized for intracranial volume, M3) to estimate the added contribution of mFW above vascular risk factors and to and a classic SVD marker. Result We found a significant effect of time and mFW on EFC scores (b=‐0.63, p=0.0092 and b=‐0.22, p<0.0001 respectively, Table 2), indicating that IRT scores decrease with time and increased baseline mFW. The significant interaction between time and mFW (b=‐0.079, p=0.00075), indicated that increased baseline mFW is associated with accelerated EFC decline. Adding VRF and WMH burden to model M1 did not change these relationships (Table 2). Conclusion Our study revealed that baseline FW can predict cognitive worsening over a period as short as of 18 months, providing additional evidence of the clinical relevance of FW as a biomarker of SVD in the context of VCID research.

Alzheimer s & DementiaVol. 20(S2)
University of Southern California (US), Rush University Medical Center (US), Mind Research Network (US), Harvard University (US), University of Kentucky (US), Johns Hopkins University (US), The University of Texas at San Antonio Health Science Center (US), University of New Mexico (US), University of California, San Francisco (US), Johns Hopkins Medicine (US), Massachusetts General Hospital (US), University Memory and Aging Center (US), Alzheimer’s Disease Neuroimaging Initiative (US), University of California, Davis (US)
Openalex Percentile: Top 55%
Cardiovascular Disease and Adiposity
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