<strong>to</strong> a <strong>to</strong>xicant, <strong>and</strong> at some point, they may resultin irreversible, functional impairment of the lungs[NIOSH 1986]. If data are available, the BMRs canbe based on a biologically significant response thatis associated with, or expected <strong>to</strong> result in, a materialimpairment of health. However, there may beinsufficient data <strong>to</strong> determine a specific level thatis associated with a measurable adverse response.In that case, a statistical criterion may be used as aBMR for continuous data [Crump 1995].A statistical method (originally referred <strong>to</strong> as a“hybrid” method) is described by Crump [1995] <strong>to</strong>provide BMD(L) estimates from continuous datathat are equivalent <strong>to</strong> a 10% excess risk based ondicho<strong>to</strong>mous data, assuming that an abnormal orbiologically significant response is defined as theupper 99 th percentile of the unexposed (control)distribution. According <strong>to</strong> this method, “for a normaldistribution with constant variance, settingBMR = 0.1 <strong>and</strong> P O= 0.01 is equivalent <strong>to</strong> choosingthe BMD <strong>to</strong> be the dose that results in an increasein the mean equal <strong>to</strong> 1.1 times the st<strong>and</strong>arddeviation,” assuming a normal distribution withconstant variance [Crump 1995]. That is, if one assumesthat the probability of the specified adverseresponse in the unexposed population is the upper1% of a normal distribution of responses, then selectinga BMR of 1.1 st<strong>and</strong>ard deviations above thecontrol mean response is equivalent <strong>to</strong> a 10% BMDas estimated in dicho<strong>to</strong>mous data.In evaluating possible BMRs for the continuousdata of CNT in mice, earlier studies of chronicozone exposure in rats were examined <strong>to</strong> determineif a biologically-based BMR could be identifiedfor pulmonary fibrosis (measured as alveolarconnective tissue thickening) associated with abnormalpulmonary function [Chang et al. 1992;Costa et al. 1995; S<strong>to</strong>ckstill et al. 1995]. However,those rat findings did not appear <strong>to</strong> extrapolate well<strong>to</strong> the mice in Shvedova et al. [2005, 2008]. Thatis, the observed abnormal response in rats (associatedwith a persistent lung function deficit) was a36% increase in the control mean alveolar connectivetissue thickness [Chang et al. 1992; Costa et al.1995]; however, this amount of response occurredin up <strong>to</strong> 30% of the control (unexposed) mice inShvedova et al. [2005, 2008] (vs. 2.5% of controlsin Chang et al. [1992], in part due <strong>to</strong> the greatervariability in the alveolar tissue thickness in theunexposed mice. In addition, no data were foundof a biologically relevant BMR for the amount ofhydroxyproline in the lungs of rats or mice. In theabsence of an identified biological basis for a BMRfor the continuous response measures of alveolarconnective tissue thickening or the amount of hydroxyproline,NIOSH used the statistical criteriondescribed by Crump [1995], in which a BMR of1.1 st<strong>and</strong>ard deviations above the control meanresponse is equivalent <strong>to</strong> a 10% excess risk in thedicho<strong>to</strong>mous data, assuming the 99 th percentile ofthe distribution of control responses is abnormal orbiologically significant.That is, the BMR for the continuous data (alveolarconnective tissue thickness <strong>and</strong> hydroxyprolineamount) is defined as follows:Equation A–3:BMR = µ(d) – µ(0)where µ(d) is the mean response at the BMD (d);µ(0) is the control mean response; <strong>and</strong> BMR is thespecified number of st<strong>and</strong>ard deviations (SDs) (i.e.,1.1 in these analyses). Thus, the continuous databasedBMD is the dose associated with a 10% increasein the proportion of animals exposed at dosed with response greater than the 99 th percentile ofthe control mean response. The estimates of µ(d)<strong>and</strong> µ(0) are derived from the fitted dose-responsemodels (polynomial) (Section A.2.3.3).A.2.3.3 BMD Model FittingThe animal dose-response data were fit using thebenchmark modeling software (BMDS 2.1.2) [USEPA 2010]. The dicho<strong>to</strong>mous data were fit with amultistage (polynomial degree 2) model. This is theonly model that provided an adequate fit <strong>to</strong> the subchronicinhalation data, each of which [Ma-Hock etal. 2009; Pauluhn 2010] had only one dose betweenzero <strong>and</strong> 100% response for the endpoints evaluated(granuloma<strong>to</strong>us inflammation or alveolar septalthickening, his<strong>to</strong>pathology grade 1 or higher).104 NIOSH CIB 65 • <strong>Carbon</strong> <strong>Nanotubes</strong> <strong>and</strong> <strong>Nanofibers</strong>
The other BMDS models failed <strong>to</strong> converge or, infurther statistical evaluation, showed non-uniqueparameter solutions. The continuous dose-responsedata were fit with a polynomial model of degree 2for all data with three or more dose groups, <strong>and</strong> degree1 (linear) for data with two groups (see TableA–1 for dose groups).P values for goodness of fit were computed for theindividual BMDS models (based on likelihoodmethods) [US EPA 2007]. Model fit was consideredadequate at P > 0.05 (i.e., testing for lack offit), although the P values based on likelihood ratiotests may not be a reliable indica<strong>to</strong>r of modelfit in the studies with few animals per group. Thenumber of animals per dose group in each studyis given in Table A–1. EPA typically uses a P > 0.1criteria for BMD model fit [US EPA 2012]. Eithercriteria is considered reasonable <strong>and</strong> representsa trade-off in the type I or type II error. That is,P > 0.1 provides more power <strong>to</strong> reject an incorrectmodel, while P > 0.05 provides less chance ofrejecting a correct model. The BMD model fits <strong>to</strong>each data set are shown in Figure A–1 (subchronicstudies), Figure A–2 (short-term studies, dicho<strong>to</strong>mousresponse), <strong>and</strong> Figure A–3 (short-term studies,continuous response).A.2.3.4 Human-equivalent Dose <strong>and</strong>Working Lifetime <strong>Exposure</strong>The rodent BMD(L)s were extrapolated <strong>to</strong> humansbased on species-specific differences in the alveolarepithelial surface area of the lungs (i.e., by normalizingthe dose per unit of cell surface area). It is assumedthat humans <strong>and</strong> animals would have equalresponse <strong>to</strong> an equivalent dose (i.e., mass of CNTper unit surface area of lungs). The human-equivalentBMD <strong>and</strong> BMDL estimates were the target lungdoses used <strong>to</strong> estimate, respectively, the maximumlikelihood estimate (MLE) <strong>and</strong> 95% lower confidencelimit (95% LCL) estimate of the MLE, asan 8-hr TWA exposure concentration during a 45-year working lifetime.The human-equivalent BMD <strong>and</strong> BMDL estimateswere calculated as follows:Equation A–4:Human-equivalent BMD(L) =Rodent BMD(L) × [AlvSA human / AlvSA rodent]where the values used for alveolar lung surface area(AlvSA) were 102 m2 (human) [S<strong>to</strong>ne et al. 1992];0.4 m2 (rat) <strong>and</strong> 0.055 m2 (mouse) [Mercer et al.2008]. In Tables A–3 through A–5, the humanequivalentBMD(L)s were multiplied by 0.001 mg/µg <strong>to</strong> obtain the units of mg per lung.The human-equivalent BMD(L)s are expressed asthe mass (mg) of CNT in the lungs. The workinglifetime airborne mass concentration that wouldresult in the BMD(L) human-equivalent lung massdose was calculated based on either depositiononly (no lung clearance) or retention (lung deposition<strong>and</strong> clearance), as described below.(a) Deposited lung doseEquation A–5:Estimated 8-hr TWA (µg/m3) =Human-equivalent BMD(L) (µg) /[8-hr worker air inhaled (m3/day) × Alveolar DepositionFraction × Work Days]The values assumed include 9.6 m3 8-hr air intake(reference worker [ICRP 1994]); alveolar depositionfraction based on aerodynamic particle size(Table A–2); <strong>and</strong> working lifetime days (250 days/yr × 45 yr).(b) Retained lung doseThe MPPD 2.0 human model [CIIT <strong>and</strong> RIVM2006] for inhaled poorly soluble spherical particleswas used <strong>to</strong> estimate the working lifetime exposureconcentration that would result in the humanequivalentBMD(L) lung burden estimates. This wasdone by a systematic search <strong>to</strong> identify the 8-hr timeweighted average (TWA) airborne concentrationover a 45-year working lifetime that predicted thetarget lung burden. The input parameters used inthe MPPD human model (Yeh <strong>and</strong> Schum hum<strong>and</strong>eposition model option) include CNT aerodynamicparticle size (MMAD, GSD) (Table A–2); inhalabilityadjustment; oronasal-normal augmenter;NIOSH CIB 65 • <strong>Carbon</strong> <strong>Nanotubes</strong> <strong>and</strong> <strong>Nanofibers</strong>105
- Page 1 and 2:
CURRENT INTELLIGENCE BULLETIN 65Occ
- Page 3 and 4:
Current Intelligence Bulletin 65Occ
- Page 5 and 6:
ForewordThe Occupational Safety and
- Page 7 and 8:
Executive SummaryOverviewCarbon nan
- Page 9 and 10:
2009; Pauluhn 2010a; Porter et al.
- Page 11 and 12:
neurogenic sig nals from sensory ir
- Page 13 and 14:
possible. Until the results from an
- Page 15 and 16:
••Follow exposure and hazard as
- Page 17 and 18:
Periodic Evaluations••Evaluatio
- Page 19 and 20:
ContentsForeword ..................
- Page 21 and 22:
A.3.2 Comparison of Short-term and
- Page 23 and 24:
ESPFeFMPSFPSSgGMGSDHCLHECHEPAhrISOI
- Page 25 and 26:
AcknowledgementsThis Current Intell
- Page 27 and 28:
1 IntroductionMany nanomaterial-bas
- Page 29:
2 Potential for ExposureThe novel a
- Page 32 and 33:
CNMs, with MWCNT agglomerates obser
- Page 34 and 35:
composite materials with local exha
- Page 36 and 37:
information on air contaminants. Sa
- Page 39 and 40:
3 Evidence for Potential Adverse He
- Page 41 and 42:
decreasing agglomerate size increas
- Page 43 and 44:
examined up to 60 days post-exposur
- Page 45 and 46:
3.3 SWCNT and MWCNTIntraperitoneal
- Page 47 and 48:
The same potency sequence was obser
- Page 49 and 50:
Table 3-3. Findings from published
- Page 51 and 52:
Table 3-5. Findings from published
- Page 53 and 54:
Table 3-6. Findings from published
- Page 55 and 56:
Table 3-7 (Continued). Findings fro
- Page 57:
Table 3-8. Findings from published
- Page 60 and 61:
length, respectively) [Muller et al
- Page 63 and 64:
5 CNT Risk Assessment and Recommend
- Page 65 and 66:
A-6). Risk estimates derived from o
- Page 67 and 68:
Table 5-4. Factors, assumptions, an
- Page 69 and 70:
and analytical methods. NIOSH is re
- Page 71 and 72:
Table 5-5. Recommended occupational
- Page 73 and 74:
deficits in animals or clinically s
- Page 75:
(3) Rat lung dose estimationIn the
- Page 78 and 79:
tasks where worker exposures exceed
- Page 80 and 81: As part of the evaluation of worker
- Page 82 and 83: Table 6-1. EC LODs and LOQs for 25-
- Page 84 and 85: 6.2 Engineering ControlsOne of the
- Page 86 and 87: Table 6-6 (Continued). Examples of
- Page 88 and 89: Table 6-7 (Continued). Engineering
- Page 90 and 91: exposure estimates for SWCNT on ind
- Page 92 and 93: Table 6-8. Respiratory protection f
- Page 94 and 95: ••Workers in areas or in jobs w
- Page 97 and 98: 7 Research NeedsAdditional data and
- Page 99 and 100: ReferencesACGIH [1984]. Particle si
- Page 101 and 102: Bolton RE, Vincent HJ, Jones AD, Ad
- Page 103 and 104: eport issued on July 22, 2011. NEDO
- Page 105 and 106: Kobayashi N, Naya M, Mizuno K, Yama
- Page 107 and 108: Methner M, Hodson L, Geraci C [2010
- Page 109 and 110: Human Services, Centers for Disease
- Page 111 and 112: Piegorsch WW, Bailer AF [2005]. Qua
- Page 113 and 114: AD, Baron PA [2003]. Exposure to ca
- Page 115: Varga C, Szendi K [2010]. Carbon na
- Page 119 and 120: ContentsA.1 Introduction ..........
- Page 121 and 122: A.1 IntroductionThe increasing prod
- Page 123 and 124: provide an informal check on the es
- Page 125 and 126: these same dose groups; this effect
- Page 127 and 128: Table A-1. Rodent study information
- Page 129: the deposited (no clearance) and th
- Page 133 and 134: Figure A-2. Benchmark dose model (m
- Page 135 and 136: Figure A-3 (continued). Benchmark d
- Page 137 and 138: Table A-3. Benchmark dose estimates
- Page 139 and 140: Table A-5. Benchmark dose estimates
- Page 141 and 142: histopathology grade 2 or higher lu
- Page 143 and 144: Table A-8. Working lifetime percent
- Page 145 and 146: developing early-stage adverse lung
- Page 147 and 148: Figure A-4. Dose-response relations
- Page 149 and 150: cell surface area). However, the wo
- Page 151 and 152: purified or unpurified (with differ
- Page 153 and 154: Table A-9. Comparison of rat or hum
- Page 155 and 156: A.6.1.3 Pulmonary Ventilation RateT
- Page 157 and 158: used as the effect levels in evalua
- Page 159 and 160: the DF estimate, although a larger
- Page 161 and 162: or overloading, of particle clearan
- Page 163 and 164: Table A-13. Human-equivalent retain
- Page 165 and 166: A.7.1 Particle CharacteristicsBoth
- Page 167 and 168: and density. The following MMAD and
- Page 169: Table A-15. CNT lung dose normalize
- Page 172 and 173: B.1 Key Terms Related toMedical Sur
- Page 175 and 176: APPENDIX CNIOSH Method 5040
- Page 177 and 178: filter. In the method evaluation, d
- Page 179 and 180: Most of the studies on sampling art
- Page 181 and 182:
e analyzed to determine the onset o
- Page 184:
Delivering on the Nation’s promis