{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T13:41:03Z","timestamp":1770730863537,"version":"3.49.0"},"reference-count":30,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2025,4,18]],"date-time":"2025-04-18T00:00:00Z","timestamp":1744934400000},"content-version":"vor","delay-in-days":17,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Aging Medicine"],"published-print":{"date-parts":[[2025,4]]},"abstract":"ABSTRACT<\/jats:title>Objectives<\/jats:title>Cerebral small vascular disease (CSVD<\/jats:styled-content>) is not rare in neurologically asymptomatic individuals. Glucose control and insulin resistance (IR<\/jats:styled-content>) may be its risk factors. We aimed to explore the relationship between CSVD<\/jats:styled-content> markers, glucose control, and IR<\/jats:styled-content> in neurologically asymptomatic, nondiabetic individuals.<\/jats:p><\/jats:sec>Methods<\/jats:title>A total of 412 participants from the annual physical examinations population in our hospital who underwent brain magnetic resonance imaging from May 2019 to June 2021 were enrolled. We collected clinical data and blood test indices and calculated the triglyceride\u2010glucose (TyG<\/jats:styled-content>) index. CSVD<\/jats:styled-content> markers were assessed, including lacunes, white matter hyperintensities (WMH<\/jats:styled-content>), enlarged perivascular spaces (EPVS<\/jats:styled-content>), cerebral microbleeds (CMBs<\/jats:styled-content>), and the total CSVD<\/jats:styled-content> score. Correlations between CSVD<\/jats:styled-content> markers, clinical variables, and blood test parameters were analyzed.<\/jats:p><\/jats:sec>Results<\/jats:title>The median age of our group was 70.32\u2009\u00b1\u200910.27\u2009years (45\u2013103\u2009years). The prevalence of asymptomatic CSVD<\/jats:styled-content> was 43.7%. Lacunes were present in 8.3%, periventricular WMH<\/jats:styled-content> (PVWMH<\/jats:styled-content>) in 65.3%, deep WMH<\/jats:styled-content> (DWMH<\/jats:styled-content>) in 64.1%, EPVS<\/jats:styled-content> in 87.4%, and CMBs<\/jats:styled-content> in 31.3% of individuals. Glycated hemoglobin A1c (HbA1c<\/jats:styled-content>) varied between PVWMH<\/jats:styled-content> subgroups (p<\/jats:italic>\u2009=\u20090.043). Fasting blood glucose (FBG<\/jats:styled-content>) was higher in individuals with deep CMBs<\/jats:styled-content> than in those without deep CMBs<\/jats:styled-content> (p<\/jats:italic>\u2009=\u20090.012). FBG<\/jats:styled-content> was an independent risk factor for deep CMBs<\/jats:styled-content> after controlling for multiple variables. However, the TyG<\/jats:styled-content> index was not associated with CSVD<\/jats:styled-content> markers.<\/jats:p><\/jats:sec>Conclusions<\/jats:title>The prevalence of neurologically asymptomatic CSVD<\/jats:styled-content> is common in the nondiabetic population. It may be beneficial for middle\u2010aged and elderly people to pay attention to their blood glucose levels.<\/jats:p><\/jats:sec>","DOI":"10.1002\/agm2.70017","type":"journal-article","created":{"date-parts":[[2025,4,19]],"date-time":"2025-04-19T01:29:47Z","timestamp":1745026187000},"page":"117-125","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Correlation Between Blood Glucose Level and Cerebral Small Vessel Disease Markers in Neurologically Asymptomatic, Nondiabetic Individuals"],"prefix":"10.1002","volume":"8","author":[{"given":"Xinxin","family":"Ma","sequence":"first","affiliation":[{"name":"Department of Neurology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine Chinese Academy of Medical Sciences Beijing China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fang","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Neurology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine Chinese Academy of Medical Sciences Beijing China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lei","family":"Qiu","sequence":"additional","affiliation":[{"name":"Department of Geriatrics, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine Chinese Academy of Medical Sciences Beijing China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Juan","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Radiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine Chinese Academy of Medical Sciences Beijing China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Du","sequence":"additional","affiliation":[{"name":"Department of Neurology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine Chinese Academy of Medical Sciences Beijing China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jing","family":"He","sequence":"additional","affiliation":[{"name":"Department of Neurology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine Chinese Academy of Medical Sciences Beijing China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aizhen","family":"Sheng","sequence":"additional","affiliation":[{"name":"Department of Neurology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine Chinese Academy of Medical Sciences Beijing China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-3340-831X","authenticated-orcid":false,"given":"Yinhong","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Neurology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine Chinese Academy of Medical Sciences Beijing 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