<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>62(7)</volume><submitter>Vihlborg P</submitter><pubmed_abstract>&lt;h4>Objective&lt;/h4>To investigate whether low molecular organic biomarkers could be identified in blood samples from vibration exposed workers using a metabolomics.&lt;h4>Methods&lt;/h4>The study population consisted of 38 metalworkers. All participants underwent a standardized medical examination. Blood samples were collected before and after work shift and analyzed with gas chromatography time-of-flight mass spectrometry. Multivariate modeling (orthogonal partial least-squares analysis with discriminant analysis [OPLS-DA]) were used to verify differences in metabolic profiles.&lt;h4>Results&lt;/h4>Twenty-two study participants reported vascular symptoms judged as vibration-related. The metabolic profile from participants with vibration-induced white fingers (VWF) was distinctly separated from partici</pubmed_abstract><journal>Journal of occupational and environmental medicine</journal><pagination>460-465</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC7337105</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Serum Metabolites in Hand-Arm Vibration Exposed Workers.</pubmed_title><pmcid>PMC7337105</pmcid><pubmed_authors>Hadrevi J</pubmed_authors><pubmed_authors>Eriksson K</pubmed_authors><pubmed_authors>Hagenbjork A</pubmed_authors><pubmed_authors>Vihlborg P</pubmed_authors><pubmed_authors>Bryngelsson IL</pubmed_authors><pubmed_authors>Graff P</pubmed_authors></additional><is_claimable>false</is_claimable><name>Serum Metabolites in Hand-Arm Vibration Exposed Workers.</name><description>&lt;h4>Objective&lt;/h4>To investigate whether low molecular organic biomarkers could be identified in blood samples from vibration exposed workers using a metabolomics.&lt;h4>Methods&lt;/h4>The study population consisted of 38 metalworkers. All participants underwent a standardized medical examination. Blood samples were collected before and after work shift and analyzed with gas chromatography time-of-flight mass spectrometry. Multivariate modeling (orthogonal partial least-squares analysis with discriminant analysis [OPLS-DA]) were used to verify differences in metabolic profiles.&lt;h4>Results&lt;/h4>Twenty-two study participants reported vascular symptoms judged as vibration-related. The metabolic profile from participants with vibration-induced white fingers (VWF) was distinctly separated from partici</description><dates><release>2020-01-01T00:00:00Z</release><publication>2020 Jul</publication><modification>2025-04-19T18:02:22.097Z</modification><creation>2025-04-19T18:02:22.097Z</creation></dates><accession>S-EPMC7337105</accession><cross_references><pubmed>32730020</pubmed><doi>10.1097/JOM.0000000000001864</doi></cross_references></HashMap>