{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,8]],"date-time":"2026-09-08T17:10:55Z","timestamp":1788887455489,"version":"build-2803163510"},"reference-count":57,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"133","license":[{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"content-domain":{"domain":["lww.com","ovid.com"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,7]]},"abstract":"<jats:p>\n                    <jats:bold>Background:<\/jats:bold>\n                    Occupational noise exposure is a recognized risk factor for stroke, yet biomarkers specific to noise-associated stroke (NAS) remain unclear. Oxidative stress (OS) plays a key mechanistic role in noise-induced cerebrovascular damage. We aim to identify OS biomarkers of NAS and conduct risk assessment.\n                    <jats:bold>Methods:<\/jats:bold>\n                    Candidate OS biomarkers were screened using Gene Expression Omnibus transcriptomic datasets integrated with eight machine-learning approaches, then verified in UK Biobank longitudinal data and in stroke model mice after 4-week noise exposure. In addition, the relationship between oxidative balance score (OBS) and stroke was evaluated among noise-exposed adults in the National Health and Nutrition Examination Survey (NHANES) 2005\u20132018 using logistic regression, and quartiles were applied to determine optimal cut-points.\n                    <jats:bold>Results:<\/jats:bold>\n                    Eight OS-related genes were identified, of which seven were validated in stroke mice. C-C Motif Chemokine Ligand 3 (CCL3) emerged as the key biomarker. In UK Biobank, occupational noise increased CCL3 expression (effect\u2009=\u20090.052,\n                    <jats:italic toggle=\"yes\">P<\/jats:italic>\n                    \u2009=\u20090.038), and higher CCL3 levels predicted greater stroke risk (hazard ratio\u2009=\u20091.15,\n                    <jats:italic toggle=\"yes\">P<\/jats:italic>\n                    &lt; 0.001). Functionally, CCL3 drove neuroinflammation via chemokine signaling. In noise-exposed stroke mice, circulating CCL3 increased (\n                    <jats:italic toggle=\"yes\">P<\/jats:italic>\n                    \u2009=\u20090.014) and infarct volume enlarged by 12.9% (\n                    <jats:italic toggle=\"yes\">P<\/jats:italic>\n                    \u2009=\u20090.011). Among 3306 noise-exposed NHANES participants, higher OBS was protective (odd ratio [OR]\u2009=\u20090.97,\n                    <jats:italic toggle=\"yes\">P<\/jats:italic>\n                    \u2009=\u20090.01), whereas OBS &lt;10 markedly elevated stroke risk (OR\u2009=\u20092.40,\n                    <jats:italic toggle=\"yes\">P<\/jats:italic>\n                    \u2009=\u20090.033) compared with the OBS &gt;24 group.\n                    <jats:bold>Conclusion:<\/jats:bold>\n                    CCL3 is a validated OS biomarker linking occupational noise exposure to stroke. Maintaining OBS &gt;18 through dietary and lifestyle strategies may mitigate NAS risk and offer a targeted neuroprotective approach for noise-exposed populations.\n                  <\/jats:p>","DOI":"10.4103\/nah.nah_239_25","type":"journal-article","created":{"date-parts":[[2026,9,2]],"date-time":"2026-09-02T10:02:40Z","timestamp":1788343360000},"page":"945-958","update-policy":"https:\/\/doi.org\/10.1097\/lww.0000000000001000","source":"Crossref","is-referenced-by-count":0,"title":["An Oxidative Stress Biomarker for Noise-Associated Stroke: Evidence from Human and Mice"],"prefix":"10.4103","volume":"28","author":[{"given":"CongCong","family":"Wu","sequence":"first","affiliation":[{"name":"Department of Neurosurgery, The First People\u2019s Hospital of Yunnan Province, School of Medicine, Kunming University of Science and Technology, Kunming, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiao","family":"Yu","sequence":"additional","affiliation":[{"name":"Shanghai Tenth People\u2019s Hospital, Tongji University School of Medicine, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tian","family":"Lv","sequence":"additional","affiliation":[{"name":"Department of Neurology, Zhuji Affiliated Hospital of Wenzhou Medical University, Zhuji, Zhejiang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jia","family":"Huang","sequence":"additional","affiliation":[{"name":"Department of Otolaryngology, Zhuji Affiliated Hospital of Wenzhou Medical University, Zhuji, Zhejiang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"276","published-online":{"date-parts":[[2026,8,31]]},"reference":[{"key":"R2-20260908","doi-asserted-by":"crossref","first-page":"372","DOI":"10.1016\/j.envres.2015.02.023","article-title":"The relationship between 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