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Occupational Exposure to Carbon Nanotubes and Nanofibers

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deficits in animals or clinically significant effects inhumans is uncertain. However, these lung responsesinclude early onset fibrosis which persisted or progressedafter the end of exposure [Shvedova et al.2005. 2008; Porter et al. 2010; Mercer et al. 2011].Limited evidence in animals suggests that theseeffects may be associated with some lung functiondecrement (reduced breathing rate in mice) [Shvedovaet al. 2008]. A quantitative measure of pulmonaryfibrosis—alveolar interstitial (septal, orconnective tissue) thickening [Shvedova et al. 2005,2008; Mercer et al. 2011]—was previously used indeveloping the health basis for the U.S. air contaminantst<strong>and</strong>ards for another lung <strong>to</strong>xicant, ozone [USEPA 1994]. EPA selected this health endpoint asthe critical lung effect in animals <strong>and</strong> extrapolated<strong>to</strong> humans the lung dose associated with this effect[US EPA 1996; S<strong>to</strong>ckstill et al. 1995]. Additionalmeasures of early stage lung effects in rats <strong>and</strong> micethat were used in this CNT risk assessment includeminimal or greater alveolar septal thickening, granulomas,or granuloma<strong>to</strong>us inflammation [Pauluhn2010a; Ma-Hock et al. 2009; Lam et al. 2004].The choice of health endpoint <strong>and</strong> severity levelfrom the subchronic studies resulted in differentREL estimates by fac<strong>to</strong>rs of several-fold <strong>to</strong> an orderof magnitude (Table A–5 <strong>and</strong> A–6). In addition <strong>to</strong>quantitative differences in risk estimates for noncancereffects, there is also qualitative uncertaintyabout the risk of other disease endpoints, includingcancer. Possible cancer risk (e.g., associatedwith fiber-like structures) is an area of considerableuncertainty for CNT <strong>and</strong> CNF which warrants targetedresearch <strong>and</strong> a high level of exposure controluntil the risk is unders<strong>to</strong>od [Schulte et al. 2012].(2) Dose rate <strong>and</strong> retentionAppendix A–6 provides some analyses <strong>to</strong> show thequantitative influence of dose rate <strong>and</strong> lung retentionassumptions on the risk estimates <strong>and</strong> RELderivation (Tables A–5 <strong>and</strong> A–6; Section A.6.3.2.2).The lung effects were assumed <strong>to</strong> be associated withthe <strong>to</strong>tal lung dose, regardless of the dose rate. Ifthe average daily deposited lung dose is assumed(i.e., no difference in rat or human clearance rates),then the human-equivalent concentration wouldbe ~30 times higher than that based on the ICRP[1994] clearance model, <strong>and</strong> ~10 times higher thanthat assuming simple first-order kinetics [Snipes etal. 1989; Pauluhn 2010b]. The human-equivalentworking lifetime (8-hr TWA) estimates based ondeposited lung dose (assuming no clearance) arelower by a fac<strong>to</strong>r of ~5–7 than those estimatesbased on retained lung burden (assuming normalclearance) (Tables A–5 <strong>and</strong> A–6).(3) Inter-species dose normalizationAlternative assumptions about the biologicallyrelevantmeasure of equivalent dose can result inconsiderable differences in the human-equivalentdose. NIOSH normalized the inter-species lung dosebased on the ratio of the human-<strong>to</strong>-animal averagealveolar surface area. Alternatively, Pauluhn [2010b]normalized the dose from rat <strong>to</strong> humans based onthe average <strong>to</strong>tal alveolar macrophage cell volume.This difference resulted in a fac<strong>to</strong>r of ~4 in the humanequivalentlung burdens <strong>and</strong> working lifetime 8-hrTWA concentration estimates (Table A–13).(4) Low dose extrapolationAll of these animal data <strong>and</strong> methods result in lowequivalent working lifetime exposure estimates.The animal NOAEL, LOAEL, <strong>and</strong> BMD(L) * estimates,<strong>and</strong> the equivalent human working lifetimeexposure estimates, indicate low mass concentrations(8-hr TWA) over a 45-year working lifetime(

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