{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,11]],"date-time":"2026-11-11T04:22:51Z","timestamp":1794370971652,"version":"4.9.0"},"reference-count":47,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2026,5,13]],"date-time":"2026-05-13T00:00:00Z","timestamp":1778630400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,5,13]],"date-time":"2026-05-13T00:00:00Z","timestamp":1778630400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Acta Ophthalmologica"],"published-print":{"date-parts":[[2026,12]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>To evaluate retinal nerve fibre layer (RNFL) and ganglion cell complex (GCC) thickness in individuals with and without metabolic syndrome and examine associations with vascular risk factors.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>In this prospective cross\u2010sectional study, adults without ocular disease undergoing cardiovascular risk assessment were examined using spectral\u2010domain optical coherence tomography (RTVue XR Avanti). RNFL and GCC thickness were measured. Associations between systemic factors and retinal layer thickness were analysed using linear regression with generalized estimating equations, stratified by metabolic syndrome status.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Among 209 participants (median age (IQR) 52 (49\u201356) years; 56% female), 110 (53%) had metabolic syndrome. RNFL and GCC thickness did not differ significantly by metabolic syndrome status (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&gt;\u20090.05). In those with metabolic syndrome, higher mean arterial pressure (MAP;\n                      <jats:italic>\u03b2<\/jats:italic>\n                      \u2009=\u2009\u22120.18\u2009\u03bcm\/mmHg,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.007), greater carotid intima\u2010media thickness (\n                      <jats:italic>\u03b2<\/jats:italic>\n                      \u2009=\u2009\u22120.02\u2009\u03bcm\/\u03bcm,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.006) and smoking (\n                      <jats:italic>\u03b2<\/jats:italic>\n                      \u2009=\u2009\u22124.10\u2009\u03bcm,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.040) were associated with thinner RNFL. Similarly, higher MAP (\n                      <jats:italic>\u03b2<\/jats:italic>\n                      \u2009=\u2009\u22120.17\u2009\u03bcm\/mmHg,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.001) and smoking (\n                      <jats:italic>\u03b2<\/jats:italic>\n                      \u2009=\u2009\u22125.72\u2009\u03bcm, p\u2009&lt;\u20090.001) were associated with thinner GCC. In participants without metabolic syndrome, no significant associations were observed for RNFL (all\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&gt;\u20090.05), while thinner GCC was associated with higher BMI (\n                      <jats:italic>\u03b2<\/jats:italic>\n                      \u2009=\u2009\u22120.47\u2009\u03bcm\/kg\/m\n                      <jats:sup>2<\/jats:sup>\n                      ,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.036) and higher urine albumin (\n                      <jats:italic>\u03b2<\/jats:italic>\n                      \u2009=\u2009\u22120.03\u2009\u03bcm\/mg\/L,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.001). Across all participants, smoking was associated with thinner GCC (\n                      <jats:italic>\u03b2<\/jats:italic>\n                      \u2009=\u2009\u22124.79\u2009\u03bcm,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.001).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>In this cardiovascular high\u2010risk but ocular disease\u2010free cohort, vascular factors, rather than metabolic syndrome itself, were associated with thinner RNFL and GCC. These findings suggest that vascular stress may contribute to early retinal neurodegeneration.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/aos.70162","type":"journal-article","created":{"date-parts":[[2026,5,13]],"date-time":"2026-05-13T13:01:53Z","timestamp":1778677313000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Assessment of retinal neurodegeneration in metabolic syndrome and its vascular determinants"],"prefix":"10.1111","volume":"104","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9427-4464","authenticated-orcid":false,"given":"Ieva","family":"Simkiene","sequence":"first","affiliation":[{"name":"Faculty of Medicine, Institute of Clinical Medicine, Vilnius University  Vilnius Lithuania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jolita","family":"Badariene","sequence":"additional","affiliation":[{"name":"Vilnius University, Faculty of Medicine, Institute of 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