- Open Access
Lack of acute phase response in the livers of mice exposed to diesel exhaust particles or carbon black by inhalation
© Saber et al; licensee BioMed Central Ltd. 2009
Received: 19 November 2008
Accepted: 20 April 2009
Published: 20 April 2009
Epidemiologic and animal studies have shown that particulate air pollution is associated with increased risk of lung and cardiovascular diseases. Although the exact mechanisms by which particles induce cardiovascular diseases are not known, studies suggest involvement of systemic acute phase responses, including C-reactive protein (CRP) and serum amyloid A (SAA) in humans. In this study we test the hypothesis that diesel exhaust particles (DEP) – or carbon black (CB)-induced lung inflammation initiates an acute phase response in the liver.
Mice were exposed to filtered air, 20 mg/m3 DEP or CB by inhalation for 90 minutes/day for four consecutive days; we have previously shown that these mice exhibit pulmonary inflammation (Saber AT, Bornholdt J, Dybdahl M, Sharma AK, Loft S, Vogel U, Wallin H. Tumor necrosis factor is not required for particle-induced genotoxicity and pulmonary inflammation., Arch. Toxicol. 79 (2005) 177–182). As a positive control for the induction of an acute phase response, mice were exposed to 12.5 mg/kg of lipopolysaccharide (LPS) intraperitoneally. Quantitative real time RT-PCR was used to examine the hepatic mRNA expression of acute phase proteins, serum amyloid P (Sap) (the murine homologue of Crp) and Saa1 and Saa3. While significant increases in the hepatic expression of Sap, Saa1 and Saa3 were observed in response to LPS, their levels did not change in response to DEP or CB. In a comprehensive search for markers of an acute phase response, we analyzed liver tissue from these mice using high density DNA microarrays. Globally, 28 genes were found to be significantly differentially expressed in response to DEP or CB. The mRNA expression of three of the genes (serine (or cysteine) proteinase inhibitor, clade A, member 3C, apolipoprotein E and transmembrane emp24 domain containing 3) responded to both exposures. However, these changes were very subtle and were not confirmed by real time RT-PCR.
Our findings collectively suggest that Sap, Saa1 and Saa3 are not induced in livers of mice exposed to DEP or CB. Despite pulmonary inflammation in these mice, global transcriptional profiling of liver did not reveal any hepatic response following exposure by inhalation.
Exposure to particulate air pollution is associated with cardiovascular morbidity and mortality [1–4]. However, the underlying mechanisms linking particulate air pollution and cardiovascular effects are unclear. It has been hypothesized that particle exposure may cause cardiovascular disease through particle-mediated lung inflammation leading to a systemic inflammatory reaction . C-reactive protein (CRP) and serum amyloid A (SAA) are acute phase proteins produced in the liver in humans in response to inflammatory stimuli . Humans exposed to ambient particulate matter (PM) have increased blood levels of CRP [5, 7–9]. Epidemiological studies have shown associations between increased concentrations of SAA and CRP in plasma, and increased risk of cardiovascular diseases [10–12] and cancer .
Induction of an acute phase response has been reported in rodents exposed to particles in several studies. Fibrinogen and platelet activation, primary effectors of the acute phase response, has been observed in rodents following exposure to particles [14–16]. Recent studies have shown increased blood concentrations of CRP in rats after instillation  or inhalation  of PM. However, CRP is minimally induced in mice . In contrast, SAA and serum amyloid P (SAP), the murine homologue to CRP, are strongly induced in mice following inflammatory stimuli. Acute-phase protein production is primarily regulated at the transcriptional level, although some post-transcriptional mechanisms may operate [20, 21]. Therefore, mRNA expression levels of Sap and Saa may provide sensitive markers of systemic acute phase response in mice.
Diesel exhaust particles (DEP) are produced by incomplete combustion of diesel fuels. In urban settings, diesel exhaust is a prominent source of fine particles . Carbon black (CB) is manufactured under controlled conditions for commercial use, primarily as a reinforcing agent in rubber and as black pigment in paints and printing inks. CB has been used in toxicological testing as a model particle for the carbonaceous core of DEP devoid of polycyclic aromatic hydrocarbons (PAHs) .
Inhalation and intratracheal instillation of DEP, CB or biofuel particles results in pulmonary mRNA expression of interleukin (Il)-6 in mice [24–26]. IL-6 is the chief stimulator for the production of most acute phase proteins . However, evidence demonstrating the direct response of acute phase genes following pulmonary exposure to particulate air pollution is lacking. Our previous work investigated the induction of inflammation and DNA damage in mice exposed to DEP or CB particles by inhalation . The mice responded with substantial pulmonary inflammation . Given this positive response, in the present study we investigate potential markers of acute phase response in these mice.
Hepatic expression of acute phase genes in mice exposed to lipopolysaccharide (LPS) by intraperitoneal injection
Hepatic mRNA expression levels of Sap, Saa1 and Saa3
0.9% NaCl i.p
0.00164 ± 0.00057
0.00408 ± 0.00055*
0.00866 ± 0.00411
0.04081 ± 0.00423***
0.00003 ± 0.00002
0.00360 ± 0.00087***
Hepatic expression of acute phase genes in mice exposed to DEP or CB by inhalation
SAA plasma concentration in mice exposed to DEP or CB by inhalation
The concentration of SAA in plasma from C57BL/6 mice exposed by inhalation to filtered air, 20 mg/m3 DEP or CB for 90 min for 4 consecutive days was measured 1 h after the last exposure. The concentration of SAA in plasma was unaffected by exposure (data not shown).
Microarray analysis of liver tissue from mice exposed to DEP or CB by inhalation
List of genes up or down regulated in the livers of mice exposed to CB or DEP by inhalation
Description (mus musculus mRNA)
Serine (or cysteine) proteinase inhibitor, clade A, member 3C (Serpina3c)
Apolipoprotein E (Apoe)
Transmembrane emp24 domain containing 3 (Tmed3)
Olfactory receptor 105 (Olfr105)
Parkinson disease (autosomal recessive, early onset) 7 (Park7)
Adult male corpora quadrigemina cDNA, RIKEN full-length enriched library
DEAH (Asp-Glu-Ala-His) box polypeptide 16 (Dhx16)
Rho GDP dissociation inhibitor (GDI) gamma (Arhgdig)
Proline rich protein HaeIII subfamily 1 (Prh1)
Olfactory receptor 1123 (Olfr1123)
Glutamate oxaloacetate transaminase 1, soluble (Got1)
Hepcidin antimicrobial peptide 1 (Hamp1)
cytochrome P450, family 2, subfamily a, polypeptide 4 (Cyp2a4)
RIKEN cDNA 0610006F02 gene (0610006F02Rik)
Cytochrome P450, family 4, subfamily f, polypeptide 14 (Cyp4f14)
10 days neonate cerebellum cDNA, RIKEN full-length enriched library
RIKEN cDNA 1110001J03 gene (1110001J03Rik)
Latent transforming growth factor beta binding protein 4 (Ltbp4)
Hypothetical protein D630003M21 (D630003M21)
RIKEN cDNA C130079G13 gene (C130079G13Rik)
10 days neonate cortex cDNA, RIKEN full-length enriched library
Zinc finger, HIT domain containing 1 (Znhit1)
Nuclear VCP-like (Nvl)
ATP synthase, H+ transporting, mitochondrial F0 complex, subunit c (subunit 9), isoform 1 (Atp5g1)
RIKEN cDNA 1810054G18 gene
BF531488 602091718F1 NCI_CGAP_Co24
In addition to analysis of statistically significant differential expression, we ranked the genes according to fold change in response to the type of exposure (data not shown). This analysis demonstrates that overall gene expression was relatively unchanged in the livers. Within the list of differentially expressed genes, the largest was a halving of the mRNA expression of Serpina3c, but this was not confirmed by PCR.
Induction of the acute phase system is proposed to be one mechanism by which particulate exposure may affect the cardiovascular system . This hypothesis is based primarily on observations in epidemiological studies showing an association between CRP and ambient air pollution [8, 9]. In the present study, we investigated the utility of transcriptional changes in genes involved in acute phase response to predict possible adverse cardiac events in mice exposed to DEP or CB particles by inhalation.
CRP and SAA are acute phase response proteins synthesized by the liver during inflammatory reactions in response to IL-6. PM, when deposited in lung, stimulates production of cytokines such as IL-6 , which then pass through the blood stream to the liver and induce CRP and SAA production. We previously found considerable pulmonary inflammation in mice exposed to four consecutive doses of DEP or CB by inhalation. This was marked by a 2-fold increase in pulmonary Il-6 and Tumor necrosis factor (Tnf) mRNA expression in response to both DEP and CB inhalation, and a 4-fold increase in the percentage of neutrophilic granulocytes in the lung lining fluid in response to DEP inhalation . However, analysis of the livers of these mice in the present study revealed no changes in mRNA expression of Sap or Saa. One potential explanation for the lack of Sap or Saa mRNA induction could be that DEP and CB mediate their effects through different pathways that involve other acute phase proteins.
To investigate this possibility, DNA microarrays were used to quantify global gene expression changes in liver tissue from the mice exposed to four consecutive doses of DEP or CB by inhalation. Microarray analysis revealed differential expression of modest magnitude for a limited number of genes. Three genes were down-regulated by both DEP and CB exposure: serine(or cysteine) proteinase inhibitor, clade A, member 3C (Serpina3c), apolipoprotein E (Apoe) and transmembrane emp24 domain containing 3 (Tmed3). However, these results could not be confirmed by real-time RT-PCR, suggesting that these are false positives, or extremely subtle changes that may not be biologically-relevant. Therefore, global transcriptional analysis demonstrates that the livers of these mice are surprisingly unresponsive to inhalation of DEP and CB. Gene expression profiling with microarrays also confirmed the lack of response measured for specific acute phase genes using RT-PCR.
Hepatic mRNA expression was investigated in this study because the liver is the primary site of mRNA and protein synthesis of acute phase proteins in response to inflammatory stimuli. However, most epidemiological evidence of a relationship between PM and induction of an acute phase response is based on concentrations of acute phase markers in the blood. To examine the possibility that lack of response in our study was due to the analysis of mRNA expression instead of protein concentrations, we also measured the plasma concentrations of SAA. Our findings were consistent with the lack of change in Saa expression; SAA protein concentrations were not affected by inhalation of DEP or CB.
We evaluated the hepatic acute phase response in mice which responded with increased inflammation after inhalation of particles on four consecutive days in a previous study . Our study design was based on work by Peters et al.  demonstrating that the blood concentration of CRP was increased immediately in response to elevated levels of particulates during an air pollution episode in Europe in 1985, and a cumulative effect appeared to be present when interpreting 5 day means of exposure . To our knowledge, no animal experiments have been published addressing the relationship between repeated particle exposures and the hepatic acute phase response. However, mice exposed to four repeated intraperitoneal injections of dimethylnitrosamine given on each of four consecutive days increased the hepatic mRNA expression of SAA and SAP similar to that of a chronic inflammatory state . Based on this evidence, we chose to evaluate the systemic acute phase response after 4 days of dosing. However, since our findings show remarkably few changes both in global gene expression and targeted analysis of acute phase response genes at the selected time point, it is possible that a longer exposure period may cause a stronger global hepatic response to inhalation of DEP and CB.
In conclusion, no systemic acute phase response was observed in mice following inhalation of particles at doses inducing substantial pulmonary inflammation. A search for response in other hepatic acute phase genes did not identify any promising candidates.
DEP were Standard Reference Material 2975 from the National Institute of Standards and Technology (NIST) (Gaithersburg, MD, USA). Carbon black particles (Printex F 90) were kindly donated by Degussa-Hüls, Frankfurt, Germany. As reported earlier, we determined the specific surface areas by multipoint BET (Brunauer, Emmett, and Teller) nitrogen adsorption (Micromeritics, Gemini 2375) . The specific surface area was 295 m2 g-1 for CB and 90 m2 g-1 for DEP. NIST reported the specific area of DEP to be 91 m2 g-1.
Mice and exposure
We analyzed the hepatic acute phase response in livers from C57BL/6 mice that were part of a study investigating pulmonary inflammation and DNA damage. Data on pulmonary effects and DNA damage of the exposure to DEP and CB in these mice have been published previously . The study design has been described earlier . Briefly, particles were aerolized by using a microfeeder with dispersion nozzle (Fraunhofer Institut für Toxicologie und Aerosolforschung). 10–12 week old C57BL/6 mice (n = 7–8 per group) were exposed by inhalation for 90 min on four consecutive days of 20 mg/m3 DEP or CB. Control mice were exposed similarly to filtered air. Mice were anaesthetized with Hypnorm/Dormicum 1 h after the last exposure and full blood was drawn from the heart before the lungs were lavaged. The blood was transferred to a tube containing K2EDTA and gently mixed. After centrifugation at 2000 g for 10 min, the supernatant was transferred to a new tube and stored at -80°C until further analysis.
As a positive control for acute phase response, we used livers from mice exposed to LPS as part of a previously published study . Briefly, 8–9 week old C57BL/6 mice (n = 4 per group) received i.p. injections of 0 or 12.5 mg/kg LPS (Sigma-Aldrich Chemie; L8274-100 MG) in saline. Mice were anaesthetized in an inhalation chamber 6 h after the exposure with 4% isoflurane in 1:1 N2O/O2 . The anaesthesia was maintained with an inhalation mask containing 1% isoflurane in 1:1 N2O/O2 and the mice were killed by cervical dislocation. The livers were snapfrozen in liquid nitrogen and stored at -80°C.
The experiments were approved by the Danish "Animal Experimental Inspectorate" and carried out following their guidelines for ethical conduct and care when using animals in research.
Preparation of RNA and cDNA
Hepatic RNA from the C57BL/6 was prepared as described earlier . cDNA was prepared from DNase treated RNA using TaqMan reverse transcription reagents (Applied Biosystems, USA) as recommended by the manufacturer.
Saa1, Saa3 and Sap gene expression was determined using real-time RT-PCR with 18S RNA as the reference gene. Each sample was run in triplicate on the ABI PRISM 7700 sequence detector (PE Biosystems, Foster City, CA, USA). For Saa1 (Mm00656927 gi) and Sap (Mm00488099 g1), TaqMan pre-developed reaction kits (Applied Biosystems, USA) were used. Saa3 primers and probes were designed with Primer Express (Applied Biosystems, Nærum, Denmark). The sequences of the Saa3 primers and probe were: Saa3forward: 5' GCC TGG GCT GCT AAA GTC AT 3', Saa3reverse: 5' TGC TCC ATG TCC CGT GAA C 3' and Saa3probe: 5' FAM-TCT GAA CAG CCT CTC TGG CAT CGC T-TAMRA 3'. The specificity of the probes was verified against the National Center for Biotechnology Information (NCBI) GeneBank. In all assays, TaqMan pre-developed mastermix (Applied Biosystems) was used. Target and 18S RNA levels were quantified in separate wells. The relative expression of the target gene was calculated by the comparative method 2-ΔCt . The average standard deviation on triplicates was 15%. The standard deviation on repeated measurements of the same sample (the control) in separate experiments was 25%, indicating that the day-to day variation of the assay was 25%. The probes and primers have been validated and the assay was quantitative over a 32- to 64-fold range. Messenger RNA measurements were excluded if the 18S content fell outside the range in which the PCR was found to be quantitative defined by the validation experiments. Negative controls, where RNA had not been converted to cDNA, were included in each run.
The SAA content was determined in plasma by ELISA Catalog No.: KMA0012 (Biosource Europe, Belgium) as described by the manufacturer.
The results from the LPS study were compared using a Student's t-test. The data from the CB and DEP treated mice were analyzed by the Kruskal-Wallis test. Statistical analysis was performed with Minitab 15.
Preparation of RNA
RNA from liver tissue of C57BL/6 mice was extracted by using the SV Total RNA Isolation System (Promega Corporation, Madison, Wis.). RNA was precipitated by the addition of 0.1 volume sodium acetate and 2.5 volume 96% ethanol. Quality was verified using an Agilent Bioanalyzer.
Individual total (2.5 μg) RNA samples of liver tissue from 23 mice (7–8 mice for each group, 2 different groups of exposure and 1 control group) and universal reference total RNA (Stratagene) were used to synthesize double-stranded cDNA and cyanine labelled cRNA (Samples with Cyanine 5-CTP, and reference RNA with Cyanine 3-CTP, Perkin-Elmer Life Sciences) according to the manufacturer's instructions (Agilent linear Amplification kits, Agilent Technologies). Cyanine-labelled cRNA targets were in vitro transcribed using T7 RNA polymerase and purified by RNeasy Mini Kit (Qiagen). Five micrograms of each labelled cRNA was hybridized to Agilent 4121A oligonucleotide microarrays (Agilent Technologies) at 60°C overnight. Arrays were washed and scanned on a ScanArray Express (Perkin-Elmer Life Sciences), and data were acquired with ImaGene 5.5 (BioDiscovery).
The data from the microarray chips were evaluated for quality through analysis of total number of genes giving signal above background, signal to noise ratio, MA plots, boxplots and cluster analyses. All the microarrays appeared to produce data that met our quality controls and there were no apparent outliers.
The background for each array was measured using the (-)3xSLv1 probe. Spots with median signal intensities less than the trimmed mean plus three trimmed standard deviations of the (-)3xSLv1 probe were flagged as absent. The data were normalized using a lowess curve  and ratio intensity plots for the raw and normalized data were constructed using R . Additional data displays included comparison boxplots and dendrograms from a cluster analysis to identify potential outliers and poor data quality.
Differentially gene expression analysis between the control and exposed samples was applied using the MAANOVA library  in R. The Fs statistic was used to test for differential expression. The p-values from these tests were estimated using the permutation method with residual shuffling and adjusted for multiple comparisons by using the false discovery rate approach . Least square means were then used to estimate the fold change for each pairwise comparison tested
Validation of microarray
Primers were designed using Beacon design 2.0 (Premier BioSoft International). The sequences of the Apoe primers were: Sense: 5' GCAAACCTGATGGAGAAGATAC 3', Antisense: 5'CACCTGGCTGGATATGGATG 3'. The sequences of the Serpina3C primers and probe were: Sense: 5'AGACAGCGACATTGACTATC', Antisense: 5'ACCAGGGAAGAAGAATAAAGG 3'. The sequences of the Tmed3 primers and probe were: Sense: 5' ATCTAGCATCCAATCTGTAGG'3', Antisense: 5' GGAAGGCAAGAACTCAGG 3'. About 2.5 μg of total RNA per sample was reverse transcribed and Quantitative PCR was performed in duplicates with an iCycler IQ real-time detection system (Bio-Rad) as described in . The values of threshold cycle were averaged. Gene expression levels were normalized to the 18s gene. PCR efficiency was examined using the standard curve for each gene. Primer specificity was assured by the melting curve for each gene. A t-test was used for statistical evaluation.
Special thanks to Gitte Bondegaard Kristansen, Lourdes Pedersen and Birgitte Korsholm for technical assistance. This study was supported by the Danish Research Council (Air Pollution in a Life Time Health Perspective (AIRPOLIFE), grant no. 2052-03-0016).
- Samet JM, Dominici F, Curriero FC, Coursac I, Zeger SL: Fine particulate air pollution and mortality in 20 U.S. cities, 1987–1994. N Engl J Med 2000, 343: 1742–1749. 10.1056/NEJM200012143432401PubMedView ArticleGoogle Scholar
- Dockery DW, Pope CA III, Xu X, Spengler JD, Ware JH, Fay ME, Ferris BG Jr, Speizer FE: An association between air pollution and mortality in six U.S. cities. N Engl J Med 1993, 329: 1753–1759. 10.1056/NEJM199312093292401PubMedView ArticleGoogle Scholar
- Pope CA III, Thun MJ, Namboodiri MM, Dockery DW, Evans JS, Speizer FE, Heath CW Jr: Particulate air pollution as a predictor of mortality in a prospective study of U.S. adults. Am J Respir Crit Care Med 1995, 151: 669–674.PubMedView ArticleGoogle Scholar
- Pope CA III, Burnett RT, Thun MJ, Calle EE, Krewski D, Ito K, Thurston GD: Lung cancer, cardiopulmonary mortality, and long-term exposure to fine particulate air pollution. JAMA 2002, 287: 1132–1141. 10.1001/jama.287.9.1132PubMed CentralPubMedView ArticleGoogle Scholar
- Donaldson K, Stone V, Seaton A, MacNee W: Ambient particle inhalation and the cardiovascular system: potential mechanisms. Environ Health Perspect 2001,109(Suppl 4):523–527. 10.2307/3454663PubMed CentralPubMedView ArticleGoogle Scholar
- Gabay C, Kushner I: Acute-phase proteins and other systemic responses to inflammation. N Engl J Med 1999, 340: 448–454. 10.1056/NEJM199902113400607PubMedView ArticleGoogle Scholar
- Pope CA III, Hansen ML, Long RW, Nielsen KR, Eatough NL, Wilson WE, Eatough DJ: Ambient particulate air pollution, heart rate variability, and blood markers of inflammation in a panel of elderly subjects. Environ Health Perspect 2004, 112: 339–345.PubMed CentralPubMedView ArticleGoogle Scholar
- Riediker M, Cascio WE, Griggs TR, Herbst MC, Bromberg PA, Neas L, Williams RW, Devlin RB: Particulate matter exposure in cars is associated with cardiovascular effects in healthy young men. Am J Respir Crit Care Med 2004, 169: 934–940. 10.1164/rccm.200310-1463OCPubMedView ArticleGoogle Scholar
- Ruckerl R, Ibald-Mulli A, Koenig W, Schneider A, Woelke G, Cyrys J, Heinrich J, Marder V, Frampton M, Wichmann HE, Peters A: Air pollution and markers of inflammation and coagulation in patients with coronary heart disease. Am J Respir Crit Care Med 2006, 173: 432–441. 10.1164/rccm.200507-1123OCPubMedView ArticleGoogle Scholar
- Albert MA, Ridker PM: The role of C-reactive protein in cardiovascular disease risk. Curr Cardiol Rep 1999, 1: 99–104. 10.1007/s11886-999-0066-0PubMedView ArticleGoogle Scholar
- Lowe GD: The relationship between infection, inflammation, and cardiovascular disease: an overview. Ann Periodontol 2001, 6: 1–8. 10.1902/annals.2001.6.1.1PubMedView ArticleGoogle Scholar
- Mezaki T, Matsubara T, Hori T, Higuchi K, Nakamura A, Nakagawa I, Imai S, Ozaki K, Tsuchida K, Nasuno A, Tanaka T, Kubota K, Nakano M, Miida T, Aizawa Y: Plasma levels of soluble thrombomodulin, C-reactive protein, and serum amyloid A protein in the atherosclerotic coronary circulation. Jpn Heart J 2003, 44: 601–612. 10.1536/jhj.44.601PubMedView ArticleGoogle Scholar
- Siemes C, Visser LE, Coebergh JW, Splinter TA, Witteman JC, Uitterlinden AG, Hofman A, Pols HA, Stricker BH: C-reactive protein levels, variation in the C-reactive protein gene, and cancer risk: the Rotterdam Study. J Clin Oncol 2006, 24: 5216–5222. 10.1200/JCO.2006.07.1381PubMedView ArticleGoogle Scholar
- Nemmar A, Hoylaerts MF, Hoet PH, Dinsdale D, Smith T, Xu H, Vermylen J, Nemery B: Ultrafine particles affect experimental thrombosis in an in vivo hamster model. Am J Respir Crit Care Med 2002, 166: 998–1004. 10.1164/rccm.200110-026OCPubMedView ArticleGoogle Scholar
- Khandoga A, Stampfl A, Takenaka S, Schulz H, Radykewicz R, Kreyling W, Krombach F: Ultrafine particles exert prothrombotic but not inflammatory effects on the hepatic microcirculation in healthy mice in vivo. Circulation 2004, 109: 1320–1325. 10.1161/01.CIR.0000118524.62298.E8PubMedView ArticleGoogle Scholar
- Elder AC, Gelein R, Azadniv M, Frampton M, Finkelstein J, Oberdorster G: Systemic effects of inhaled ultrafine particles in two compromised, aged rat strains. Inhal Toxicol 2004, 16: 461–471. 10.1080/08958370490439669PubMedView ArticleGoogle Scholar
- Lei YC, Hwang JS, Chan CC, Lee CT, Cheng TJ: Enhanced oxidative stress and endothelial dysfunction in streptozotocin-diabetic rats exposed to fine particles. Environ Res 2005, 99: 335–343. 10.1016/j.envres.2005.03.011PubMedView ArticleGoogle Scholar
- Niwa Y, Hiura Y, Sawamura H, Iwai N: Inhalation exposure to carbon black induces inflammatory response in rats. Circ J 2008, 72: 144–149. 10.1253/circj.72.144PubMedView ArticleGoogle Scholar
- Whitehead AS, Zahedi K, Rits M, Mortensen RF, Lelias JM: Mouse C-reactive protein. Generation of cDNA clones, structural analysis, and induction of mRNA during inflammation. Biochem J 1990, 266: 283–290.PubMed CentralPubMedGoogle Scholar
- Jiang SL, Lozanski G, Samols D, Kushner I: Induction of human serum amyloid A in Hep 3B cells by IL-6 and IL-1 beta involves both transcriptional and post-transcriptional mechanisms. J Immunol 1995, 154: 825–831.PubMedGoogle Scholar
- Jiang SL, Samols D, Rzewnicki D, Macintyre SS, Greber I, Sipe J, Kushner I: Kinetic modeling and mathematical analysis indicate that acute phase gene expression in Hep 3B cells is regulated by both transcriptional and posttranscriptional mechanisms. J Clin Invest 1995, 95: 1253–1261. 10.1172/JCI117775PubMed CentralPubMedView ArticleGoogle Scholar
- U.S. Environmental Protection Agency, Health Assessment Document for Diesel Engine Exhaust, EPA/600/8–90/057F 2002.Google Scholar
- IARC: IARC monographs on the evaluation of carcinogenic risks to humans. 1996., 65: Google Scholar
- Madsen AM, Saber AT, Nordly P, Sharma AK, Wallin H, Vogel U: Inflammation but no DNA damage in mice exposed to airborne dust from a biofuel plant. Scandinavian Journal of Work, Environment & Health 2008,34(4):278–7.View ArticleGoogle Scholar
- Saber AT, Bornholdt J, Dybdahl M, Sharma AK, Loft S, Vogel U, Wallin H: Tumor necrosis factor is not required for particle-induced genotoxicity and pulmonary inflammation. Arch Toxicol 2005, 79: 177–182. 10.1007/s00204-004-0613-9PubMedView ArticleGoogle Scholar
- Jacobsen NR, Moller P, Jensen KA, Vogel U, Ladefoged O, Loft S, Wallin H: Lung inflammation and genotoxicity following pulmonary exposure to nanoparticles in ApoE-/- mice. Part Fibre Toxicol 2009, 6: 2. 10.1186/1743-8977-6-2PubMed CentralPubMedView ArticleGoogle Scholar
- Peters A, Frohlich M, Doring A, Immervoll T, Wichmann HE, Hutchinson WL, Pepys MB, Koenig W: Particulate air pollution is associated with an acute phase response in men; results from the MONICA-Augsburg Study. Eur Heart J 2001, 22: 1198–1204. 10.1053/euhj.2000.2483PubMedView ArticleGoogle Scholar
- Lockwood JF, Rutherford MS, Myers MJ, Schook LB: Induction of hepatic acute-phase protein transcripts: differential effects of acute and subchronic dimethylnitrosamine exposure in vivo. Toxicol Appl Pharmacol 1994, 125: 288–295. 10.1006/taap.1994.1075PubMedView ArticleGoogle Scholar
- Folkmann JK, Risom L, Hansen CS, Loft S, Moller P: Oxidatively damaged DNA and inflammation in the liver of dyslipidemic ApoE-/- mice exposed to diesel exhaust particles. Toxicology 2007, 237: 134–144. 10.1016/j.tox.2007.05.009PubMedView ArticleGoogle Scholar
- Livak KJ, Schmittgen TD: Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method. Methods 2001, 25: 402–408. 10.1006/meth.2001.1262PubMedView ArticleGoogle Scholar
- Yang YH, Dudoit S, Luu P, Lin DM, Peng V, Ngai J, Speed TP: Normalization for cDNA microarray data: a robust composite method addressing single and multiple slide systematic variation. Nucleic Acids Res 2002, 30: e15. 10.1093/nar/30.4.e15PubMed CentralPubMedView ArticleGoogle Scholar
- R Development Core Team, Vienna A: A language and environment for statistical computing. 2005.Google Scholar
- Wu H, Kerr MK, Cui X, Churchill GA: MAANOVA: A Software Package for the Analysis of Spotted cDNA Microarray Experiments. 2003, 313–431.Google Scholar
- Controlling the False Discovery Rate: a Practical and Powerful Approach to Multiple Testing Journal of the Royal Statistical Society 1995, 57: 289–300.Google Scholar
- Dong H, Wade M, Williams A, Lee A, Douglas GR, Yauk C: Molecular insight into the effects of hypothyroidism on the developing cerebellum. Biochem Biophys Res Commun 2005, 330: 1182–1193. 10.1016/j.bbrc.2005.03.099PubMedView ArticleGoogle Scholar
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