{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"institution":[{"name":"medRxiv"}],"indexed":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T18:25:52Z","timestamp":1767378352091,"version":"3.48.0"},"posted":{"date-parts":[[2025,12,30]]},"group-title":"Neurology","reference-count":90,"publisher":"openRxiv","license":[{"start":{"date-parts":[[2025,12,30]],"date-time":"2025-12-30T00:00:00Z","timestamp":1767052800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"accepted":{"date-parts":[[2025,12,30]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                <jats:sec>\n                  <jats:title>Objective<\/jats:title>\n                  <jats:p>\n                    To evaluate associations between an\n                    <jats:italic>in vivo<\/jats:italic>\n                    (MRI) marker of arteriolosclerosis (ARTS) and multimodal neuroimaging and plasma ATN(V) biomarkers.\n                  <\/jats:p>\n                <\/jats:sec>\n                <jats:sec>\n                  <jats:title>Methods<\/jats:title>\n                  <jats:p>\n                    Among 238 participants with both amyloid and tau PET scans within one year of MRI, we examined multivariable adjusted models relating ARTS with structural MRI (cortical thickness\/volume, white matter hyperintensities [WMH]), diffusion MRI (fractional anisotropy [FA], mean diffusivity [MD], NODDI free water [FW]), cerebral blood flow, plasma biomarkers (p-tau217, A\n                    <jats:italic>\u03b2<\/jats:italic>\n                    42\/40, neurofilament light, glial fibrillary acidic protein [GFAP]), and PET imaging.\n                  <\/jats:p>\n                <\/jats:sec>\n                <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>As expected, ARTS was most strongly linked to age and greater WMH burden and diffusion-based indices of microstructural disruption (FA, MD, FW). ARTS was elevated in ATN biomarker-positive groups (highest in A+T+N+) and was associated with greater neurodegeneration and higher plasma biomarker levels, GFAP in particular.<\/jats:p>\n                <\/jats:sec>\n                <jats:sec>\n                  <jats:title>Conclusions<\/jats:title>\n                  <jats:p>ARTS relates to other markers of vascular brain injury, neurodegeneration, amyloid and tau pathology within the ATN(V) framework, and inflammation.<\/jats:p>\n                <\/jats:sec>\n                <jats:sec>\n                  <jats:title>Highlights:<\/jats:title>\n                  <jats:list list-type=\"bullet\">\n                    <jats:list-item>\n                      <jats:p>ARTS scores are elevated in ATN-positive individuals, most prominently in A+T+N+<\/jats:p>\n                    <\/jats:list-item>\n                    <jats:list-item>\n                      <jats:p>ARTS may exert stage-specific effects on neurodegeneration rather than track A\/T burden.<\/jats:p>\n                    <\/jats:list-item>\n                    <jats:list-item>\n                      <jats:p>Strong ARTS-GFAP association suggests role of astroglial activation in vascular-related neurodegeneration<\/jats:p>\n                    <\/jats:list-item>\n                    <jats:list-item>\n                      <jats:p>Findings underscore the importance of vascular contributions to AD\/ADRD pathophysiology, especially in high-cardiometabolic-risk populations<\/jats:p>\n                    <\/jats:list-item>\n                  <\/jats:list>\n                <\/jats:sec>","DOI":"10.64898\/2025.12.23.25342940","type":"posted-content","created":{"date-parts":[[2025,12,31]],"date-time":"2025-12-31T00:15:12Z","timestamp":1767140112000},"source":"Crossref","is-referenced-by-count":0,"title":["Evaluation of an in vivo biomarker of arteriolosclerosis (ARTS) and its associations with cognition and multimodal ATN(V) biomarkers in a cardiometabolic-risk enriched community cohort"],"prefix":"10.64898","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7046-1169","authenticated-orcid":false,"given":"Marc D.","family":"Rudolph","sequence":"first","affiliation":[{"name":"Department of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0893-5420","authenticated-orcid":false,"given":"Samuel N.","family":"Lockhart","sequence":"additional","affiliation":[{"name":"Department of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4360-216X","authenticated-orcid":false,"given":"Melissa R.","family":"Rundle","sequence":"additional","affiliation":[{"name":"Department of Internal Medicine, Section on 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