PMID- 25162720
OWN - NLM
STAT- MEDLINE
DCOM- 20150421
LR  - 20140828
IS  - 1091-7691 (Electronic)
IS  - 0895-8378 (Linking)
VI  - 26
IP  - 11
DP  - 2014 Sep
TI  - The National Environmental Respiratory Center (NERC) experiment in 
      multi-pollutant air quality health research: III. Components of diesel and 
      gasoline engine exhausts, hardwood smoke and simulated downwind coal emissions 
      driving non-cancer biological responses in rodents.
PG  - 668-90
LID - 10.3109/08958378.2014.920440 [doi]
AB  - An approach to identify causal components of complex air pollution mixtures was 
      explored. Rats and mice were exposed by inhalation 6 h daily for 1 week or 6 
      months to dilutions of simulated downwind coal emissions, diesel and gasoline 
      exhausts and wood smoke. Organ weights, hematology, serum chemistry, 
      bronchoalveolar lavage, central vascular and respiratory allergic responses were 
      measured. Multiple additive regression tree (MART) analysis of the combined 
      database ranked 45 exposure (predictor) variables for importance to models best 
      fitting 47 significant responses. Single-predictor concentration-response data 
      were examined for evidence of single response functions across all exposure 
      groups. Replication of the responses by the combined influences of the two most 
      important predictors was tested. Statistical power was limited by inclusion of 
      only four mixtures, albeit in multiple concentrations each and with particles 
      removed for some groups. Results gave suggestive or strong evidence of causation 
      of 19 of the 47 responses. The top two predictors of the 19 responses included 
      only 12 organic and 6 inorganic species or classes. An increase in red blood cell 
      count of rats by ammonia and pro-atherosclerotic vascular responses of mice by 
      inorganic gases yielded the strongest evidence for causation and the best 
      opportunity for confirmation. The former was a novel finding; the latter was 
      consistent with other results. The results demonstrated the plausibility of 
      identifying putative causal components of highly complex mixtures, given a 
      database in which the ratios of the components are varied sufficiently and 
      exposures and response measurements are conducted using a consistent protocol.
FAU - Mauderly, Joe L
AU  - Mauderly JL
AD  - Lovelace Respiratory Research Institute , Albuquerque, NM , USA and.
FAU - Seilkop, Steven K
AU  - Seilkop SK
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
PT  - Research Support, U.S. Gov't, Non-P.H.S.
PL  - England
TA  - Inhal Toxicol
JT  - Inhalation toxicology
JID - 8910739
RN  - 0 (Air Pollutants)
RN  - 0 (Coal)
RN  - 0 (Gasoline)
RN  - 0 (Smoke)
RN  - 0 (Vehicle Emissions)
SB  - IM
MH  - Air Pollutants/*toxicity
MH  - Animals
MH  - Coal/*analysis
MH  - Gasoline/adverse effects/*analysis
MH  - Mice
MH  - Mice, Inbred Strains
MH  - Random Allocation
MH  - Rats
MH  - Smoke/adverse effects/*analysis
MH  - United States
MH  - Vehicle Emissions/*analysis/toxicity
MH  - *Wood
OTO - NOTNLM
OT  - Air pollution
OT  - coal emissions
OT  - diesel exhaust
OT  - gasoline exhaust
OT  - mixtures
OT  - regression tree
OT  - wood smoke
EDAT- 2014/08/28 06:00
MHDA- 2015/04/22 06:00
CRDT- 2014/08/28 06:00
PHST- 2014/08/28 06:00 [entrez]
PHST- 2014/08/28 06:00 [pubmed]
PHST- 2015/04/22 06:00 [medline]
AID - 10.3109/08958378.2014.920440 [doi]
PST - ppublish
SO  - Inhal Toxicol. 2014 Sep;26(11):668-90. doi: 10.3109/08958378.2014.920440.