Neuroinflammation and Amyloid deposition are independently associated with white matter hyperintensity burden in AD/VCID

Abstract Background White matter hyperintensities (WMHs) are associated with both Alzheimer's Disease (AD) and vascular contributions to cognitive impairment & dementia (VCID). Both neuroinflammation and amyloid‐β are hypothesized to contribute to WMH development, yet exact mechanisms are unknown. We have developed [ 11 C]CS1P1, a novel PET probe targeting the S1PR1 receptor in the brain, a receptor which has been previously associated with neuroinflammation. In this study, we characterized [ 11 C]CS1P1 PET and PiB Centiloid in human subjects with early AD/VCID. Method We enrolled 23 subjects (≥50 years old) with varying numbers of cerebrovascular risk factors (i.e. hypertension, hyperlipidemia, diabetes, stroke, and tobacco use), and had a CDR ≤0.5. Subjects had MPRAGE MRI scans for anatomic segmentation; FLAIR MRI scans for segmentation of WMHs; [ 11 C]CS1P1 dynamic PET scans for quantifying S1PR1 activity (Figure 1); and PiB scans for assessing Centiloid. A Centiloid ≥20 defined PiB positivity. MRI scans were co‐registered to [ 11 C]CS1P1 PET scans, and kinetic modeling was performed for grey matter (GM), normal appearing white matter (NAWM), and WMH regions of interests (ROIs). Relative WMH volumes were normalized to whole brain volume and log‐transformed to indicate WMH burden (logrV WMH ). Linear regression was performed to determine the relationship between logrV WMH and [ 11 C]CS1P1 PET volume of distribution (V T ) in all ROIs. A stepwise multiple linear regression model was performed to evaluate the association between logrV WMH and [ 11 C]CS1P1 V T and PiB Centiloid with age, sex, and cerebrovascular vascular risk factors as covariates. Result [ 11 C]CS1P1 V T in the WMH ROI significantly correlated with logrV WMH (R 2 = 0.3044, p ‐value= 0.0063, Figure 2). Patients with high WMH [ 11 C]CS1P1 V T and PiB positivity had high logrV WMH . The stepwise multiple linear regression model demonstrated logrV WMH are significantly associated with WMH [ 11 C]CS1P1 V T and PiB Centiloid (adjusted R 2 = 0.417, p ‐value= 0.00176, Figure 3) after controlling for age, sex, and cerebrovascular risk factors. [ 11 C]CS1P1 V T in the NAWM or GM ROIs did not correlate with logrV WMH . Conclusion A novel metric of neuroinflammation, [ 11 C]CS1P1, and amyloid‐β are independently associated with WMH burden. Future studies are needed to evaluate whether neuroinflammation and amyloid deposition synergistically or additively contribute to WMH burden in AD/VCID.

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Journal
Alzheimer s & Dementia
Published
2025-12-01
DOI
https://doi.org/10.1002/alz70856_105981
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
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article

Neuroinflammation and Amyloid deposition are independently associated with white matter hyperintensity burden in AD/VCID

Karl A. Friedrichsen, Andria L. Ford, Y Wang, Yasheng Chen et al.
Alzheimer s & Dementia
Dementia and Cognitive Impairment Research
article

Neuroinflammation and Amyloid deposition are independently associated with white matter hyperintensity burden in AD/VCID

Karl A. Friedrichsen, Andria L. Ford, Y Wang, Yasheng Chen, Inema Orukari, B. Wang, Matthew R. Brier, Hongyu An, Jayashree Rajamanickam, Jin‐Moo Lee, Lynne C. Jones, Ying Hwey Nai, Farzaneh Rahmani, Jude‐Patrick Nnamdi Okafor, Shaney Flores, Zhude Tu, Tammie L.S. Benzinger
article en

Abstract

Abstract Background White matter hyperintensities (WMHs) are associated with both Alzheimer's Disease (AD) and vascular contributions to cognitive impairment & dementia (VCID). Both neuroinflammation and amyloid‐β are hypothesized to contribute to WMH development, yet exact mechanisms are unknown. We have developed [ 11 C]CS1P1, a novel PET probe targeting the S1PR1 receptor in the brain, a receptor which has been previously associated with neuroinflammation. In this study, we characterized [ 11 C]CS1P1 PET and PiB Centiloid in human subjects with early AD/VCID. Method We enrolled 23 subjects (≥50 years old) with varying numbers of cerebrovascular risk factors (i.e. hypertension, hyperlipidemia, diabetes, stroke, and tobacco use), and had a CDR ≤0.5. Subjects had MPRAGE MRI scans for anatomic segmentation; FLAIR MRI scans for segmentation of WMHs; [ 11 C]CS1P1 dynamic PET scans for quantifying S1PR1 activity (Figure 1); and PiB scans for assessing Centiloid. A Centiloid ≥20 defined PiB positivity. MRI scans were co‐registered to [ 11 C]CS1P1 PET scans, and kinetic modeling was performed for grey matter (GM), normal appearing white matter (NAWM), and WMH regions of interests (ROIs). Relative WMH volumes were normalized to whole brain volume and log‐transformed to indicate WMH burden (logrV WMH ). Linear regression was performed to determine the relationship between logrV WMH and [ 11 C]CS1P1 PET volume of distribution (V T ) in all ROIs. A stepwise multiple linear regression model was performed to evaluate the association between logrV WMH and [ 11 C]CS1P1 V T and PiB Centiloid with age, sex, and cerebrovascular vascular risk factors as covariates. Result [ 11 C]CS1P1 V T in the WMH ROI significantly correlated with logrV WMH (R 2 = 0.3044, p ‐value= 0.0063, Figure 2). Patients with high WMH [ 11 C]CS1P1 V T and PiB positivity had high logrV WMH . The stepwise multiple linear regression model demonstrated logrV WMH are significantly associated with WMH [ 11 C]CS1P1 V T and PiB Centiloid (adjusted R 2 = 0.417, p ‐value= 0.00176, Figure 3) after controlling for age, sex, and cerebrovascular risk factors. [ 11 C]CS1P1 V T in the NAWM or GM ROIs did not correlate with logrV WMH . Conclusion A novel metric of neuroinflammation, [ 11 C]CS1P1, and amyloid‐β are independently associated with WMH burden. Future studies are needed to evaluate whether neuroinflammation and amyloid deposition synergistically or additively contribute to WMH burden in AD/VCID.

Alzheimer s & DementiaVol. 21(S2)
Washington University in St. Louis (US)
Good health and well-being
Openalex Percentile: Top 29%
Dementia and Cognitive Impairment Research
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