@article{3b322fd448c9471293048debe6c5064a,
title = "Lysophosphatidic acid and apolipoprotein A1 predict increased risk of developing World Trade Center-lung injury: A nested case-control study",
abstract = "Rationale: Metabolic syndrome, inflammatory and vascular injury markers measured in serum after World Trade Center (WTC) exposures predict abnormal FEV1. We hypothesized that elevated LPA levels predict FEV1<LLN. Methods: Nested case-control study of WTC-exposed firefighters. Cases had FEV1<LLN. Controls derived from the baseline cohort. Demographics, pulmonary function, serum lipids, LPA and ApoA1 were measured. Results: LPA and ApoA1 levels were higher in cases than controls and predictive of case status. LPA increased the odds by 13% while ApoA1 increased the odds by 29% of an FEV1<LLN in a multivariable model. Conclusions: Elevated LPA and ApoA1 are predictive of a significantly increased risk of developing an FEV1<LLN.",
keywords = "Biomarkers, Dyslipidemia and occupational exposure, World Trade Center",
author = "Jun Tsukiji and Cho, {Soo Jung} and Echevarria, {Ghislaine C.} and Sophia Kwon and Phillip Joseph and Schenck, {Edward J.} and Bushra Naveed and Prezant, {David J.} and Rom, {William N.} and Schmidt, {Ann Marie} and Weiden, {Michael D.} and Anna Nolan",
note = "Funding Information: This work was supported by NIEHST32ES007267 (S.J.C. and B.N.), NIH-NHLBI K23HL084191/S1 (A.N.), NIAID (M.D.W.) K24A1080298, NIH-R01HL057879 (M.D.W.), and NIOSH (U10-OH008243, U10-OH008242) and UL1RR029893 (D.J.P.). This work was also partially funded by the NYU-HHC Clinical and Translational Science Institute which is supported in part by grant UL1TR000038 from the National Center for Advancing Translational Sciences of the National Institutes of Health. The funding agencies did not participate in the study design; in the collection, analysis and interpretation of data; in the writing of the report; and in the decision to submit the article for publication. The authors report no financial or competing interests.",
year = "2014",
month = mar,
doi = "10.3109/1354750X.2014.891047",
language = "English (US)",
volume = "19",
pages = "159--165",
journal = "Biomarkers",
issn = "1354-750X",
publisher = "Informa Healthcare",
number = "2",
}