Please use this identifier to cite or link to this item: https://doi.org/10.1136/bmjdrc-2019-001051
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dc.titleTissue inhibitor matrix metalloproteinase 1 and risk of type 2 diabetes in a Chinese population
dc.contributor.authorWang, Y.
dc.contributor.authorYuan, J.-M.
dc.contributor.authorPan, A.
dc.contributor.authorKoh, W.-P.
dc.date.accessioned2021-08-12T00:44:49Z
dc.date.available2021-08-12T00:44:49Z
dc.date.issued2020
dc.identifier.citationWang, Y., Yuan, J.-M., Pan, A., Koh, W.-P. (2020). Tissue inhibitor matrix metalloproteinase 1 and risk of type 2 diabetes in a Chinese population. BMJ Open Diabetes Research and Care 8 (1) : e001051. ScholarBank@NUS Repository. https://doi.org/10.1136/bmjdrc-2019-001051
dc.identifier.issn20524897
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/196680
dc.description.abstractIntroduction The non-invasive enhanced liver fibrosis (ELF) score - comprising tissue inhibitor of matrix metalloproteinases-1 (TIMP1), hyaluronic acid (HA) and amino-terminal propeptide of type III procollagen (PIIINP) - has been shown to accurately predict fibrosis stages among patients with non-alcoholic fatty liver disease (NAFLD). However, no study has examined whether the ELF score or its components would also be predictive of type 2 diabetes, which commonly coexists and shares the same pathogenic abnormalities with NAFLD. Therefore, we prospectively investigated their associations with type 2 diabetes risks for the first time. Research design and methods The ELF score was measured among 254 type 2 diabetes cases and 254 age-matched and sex-matched controls nested within the prospective Singapore Chinese Health Study. Cases had hemoglobin A1c (HbA1c) levels <6.5% at blood collection (1999-2004) and reported to have diabetes during follow-up II (2006-2010). Controls had HbA1c levels <6.0% at blood-taking and remained free of diabetes at follow-up II. Multivariable conditional logistic regression models were used to assess the ELF-diabetes association. Results Higher TIMP1 levels were associated with increased type 2 diabetes risk, and the OR comparing the highest versus lowest quartiles was 2.56 (95% CI 1.23 to 5.34; p trend=0.035). However, ELF score, PIIINP and HA were not significantly associated with type 2 diabetes risks. Conclusions Higher TIMP1 levels, but not ELF score, PIIIMP and HA, were associated with increased type 2 diabetes risk in Chinese adults. Our results suggested that elevated TIMP1 levels may contribute to the type 2 diabetes development through pathways other than liver fibrosis. © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.
dc.publisherBMJ Publishing Group
dc.rightsAttribution-NonCommercial 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.sourceScopus OA2020
dc.subjectepidemiology
dc.subjecttype 2 diabetes
dc.typeArticle
dc.contributor.departmentDUKE-NUS MEDICAL SCHOOL
dc.description.doi10.1136/bmjdrc-2019-001051
dc.description.sourcetitleBMJ Open Diabetes Research and Care
dc.description.volume8
dc.description.issue1
dc.description.pagee001051
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