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The genetic basis for the underlying individual susceptibility to chlorine-induced acute lung injury is unknown. To uncover the genetic basis and pathophysiological processes that could provide additional homeostatic capacities during lung injury, 40 inbred murine strains were exposed to chlorine, and haplotype association mapping was performed. The identified single-nucleotide polymorphism (SNP) associations were evaluated through transcriptomic and metabolomic profiling. Using ≥ 10% allelic frequency and ≥ 10% phenotype explained as threshold criteria, promoter SNPs that could eliminate putative transcriptional factor recognition sites in candidate genes were assessed by determining transcript levels through microarray and reverse real-time PCR during chlorine exposure. The mean survival time varied by approximately 5-fold among strains, and SNP associations were identified for 13 candidate genes on chromosomes 1, 4, 5, 9, and 15. Microarrays revealed several differentially enriched pathways, including protein transport (decreased more in the sensitive C57BLKS/J lung) and protein catabolic process (increased more in the resistant C57BL/10J lung). Lung metabolomic profiling revealed 95 of the 280 metabolites measured were altered by chlorine exposure, and included alanine, which decreased more in the C57BLKS/J than in the C57BL/10J strain, and glutamine, which increased more in the C57BL/10J than in the C57BLKS/J strain. Genetic associations from haplotype mapping were strengthened by an integrated assessment using transcriptomic and metabolomic profiling. The leading candidate genes associated with increased susceptibility to acute lung injury in mice included Klf4, Sema7a, Tns1, Aacs, and a gene that encodes an amino acid carrier, Slc38a4.
A major challenge to critical care involves the reliable prediction of survival in patients with acute lung injury. Because acute lung injury is a sporadic disease produced by heterogeneous precipitating factors, previous genetic analyses were mainly limited to case-control studies that evaluated candidate gene associations. This study functionally assesses single-nucleotide polymorphism associations linked with survival during acute lung injury in mice. Genetic associations from haplotype mapping were strengthened by an integrated assessment using transcriptomic and metabolomic profiling. The leading candidate genes associated with increased susceptibility to acute lung injury in mice included Klf4, Sema7a, Tns1, Aacs, and a gene that encodes an amino acid carrier, Slc38a4.
Accidental (e.g., railroad derailments) (1–3) or intentional (e.g., terrorism in Iraq) (4–6) chlorine exposures have led to acute lung injury. Over 10 million tons/year of chlorine are manufactured in the United States, and accidental releases have occurred in many industries (7, 8). Moreover, widespread use requires the transport of approximately 20,000 tank cars/year (340,000 L/car) (9). Rail accidents are rare but can be catastrophic, because a ruptured car can generate a lethal plume for several hours (10). Accidental chlorine releases are approximately five times more likely to produce casualties and evacuations compared with other chemical accidents (11).
A major consequence of chlorine exposure is acute lung injury (9–17). Acute lung injury, which comprises a heterogeneous syndrome caused by direct (chlorine) and indirect (sepsis) insults, involves decreased epithelial/endothelial integrity, fluid clearance, and surfactant function (18–21). Outcomes vary greatly, and survival is difficult to predict (22–26), which has stimulated investigation into individual susceptibility (27–48). However, genetic analyses are mainly limited to case-control studies because acute lung injury occurs sporadically. Nonetheless, investigations indicate that this syndrome is complex and governed by multiple genetic factors.
In a previous study of 16 murine strains, we reported that inbred mice varied approximately 3-fold in mean survival time, supporting the likelihood of a genetic basis of susceptibility (49). Haplotype mapping, using a large, genetically diverse panel of inbred murine strains (50–52), has emerged as a valuable tool to identify the genes responsible for complex traits (53–59). Recently, we used this method to identify the genetic determinants of acrolein-induced lung injury (59). In this study, we integrate haplotype mapping with transcriptomic and metabolomic profiling to identify candidate genes associated with delayed pulmonary edema resulting from chlorine-induced lung injury.
This study was performed with the approval of the Institutional Animal Care and Use Committee at the University of Pittsburgh, and mice (6–8-week-old females) were housed under specific pathogen-free conditions. At high concentrations, chlorine can produce rapid, often lethal, lung injury, whereas low concentrations may cause delayed pulmonary edema. To model the delayed form of lung injury, we previously exposed 16 inbred murine strains to 45 parts per million (ppm) chlorine for 24 hours, and monitored survival hourly (49). In this study, these data were combined with data from an additional 24 inbred strains (n = 334) for haplotype association mapping. After their 24-hour exposure, mice were returned to microisolator cages (filtered room air), and their survival was monitored hourly. To examine chlorine-induced changes in bronchoalveolar lavage, as well as lung histology and transcripts/metabolites, groups (n = 5–8 mice/group) of sensitive C57BLKS/J or resistant C57BL/10J mice were exposed to filtered air (0 hours) or chlorine (6 or 12 hours). Microarrays (n = 5 mice/strain/time) and quantitative RT-PCR (n = 8 mice/strain/time) were used to contrast transcript levels of candidate genes. Metabolomic profiling was performed as described previously (60–63), using lung tissue (n = 5 mice/strain/time) that was homogenized in deionized water containing recovery standards, extracted (80:20 methanol/water), and analyzed by positive or negative ultrahigh performance liquid chromatography–mass spectrometry/mass spectrometry (LC:Surveyor; ThermoFisher, Pittsburgh, PA) (61), or by gas chromatography–mass spectrometry (Thermo-Finnegan Mat-95XP; ThermoFisher) (61). In contrast to the accurate-mass and elution-time tags used in shotgun proteomics, our library-based approach combines accurate retention times and tandem mass spectrometric fragmentation patterns to unambiguously identify >2,400 biochemicals (63). LRpath (64) and CLEAN (65) were used to assess pathway enrichment in transcriptomic and metabolomic profiling. To contrast the strains, a difference in the mean response was considered significant at a threshold of −0.58 < X < 0.58 log 2 change (i.e., ±1.5-fold change; P < 0.05). Additional details are provided in the online supplement.
Mice developed varying signs of upper respiratory tract irritation and respiratory distress during exposure (45 ppm × 24 hours), or after return to filtered room air. During gross pathologic observations at death, the lung surface appeared red from hemorrhaging and coagulation consistent with severe lung injury (66). The mean survival time was distributed continuously among murine strains (supportive of a complex trait), with the polar strains varying by approximately 5-fold from 7.6 ± 0.8 (mean ± SEM) hours (PWD/PhJ) to 38.1 ± 0.5 hours (NON/ShiLtJ) (Figure 1A). A haplotype association map was obtained (Figure 1B), and significant single-nucleotide polymorphisms (SNPs) (n = 11 SNPs; −log(P) > 4.8) were identified on chromosomes 1, 4, 5, 9, and 15, with suggestive SNP associations (n = 56 SNPs; 4.8 ≥ −log(P) > 4.0) on chromosomes 1, 5, 9, 12, 14, 16, and 18 (please refer to Table E1 in the online supplement). Because haplotype association mapping identifies SNP associations in linkage with functional SNPs (67), we evaluated the nonsynonymous SNPs and promoter SNPs in genes ± 0.5 megabase pairs of the identified SNPs in 28 candidate genes.
To prioritize SNPs associated with survival, candidate genes were evaluated based on whether the nucleotide sequence change could lead to nonsynonymous SNPs (i.e., an amino acid substitution, insertion, or deletion in the encoded protein). We identified 51 nonsynonymous SNPs in 21 genes (Table E2). Of these, 17 SNPs in 11 genes had a greater than 10% allelic frequency and could explain more than 10% of the phenotypic difference between polar strains (Table 1).
Three genes exhibited SNPs that could lead to amino acid substitutions in functional domains (Figure 2). Genes with predicted substitutions that could alter the protein hydropathy index or side chain polarity included Aacs Thr321Ile (domain, acyl-protein synthetase), Ikbkap Gly662Val (domain, the IKI3 family), and Tns1 Asn1882Ser (domain, pleckstrin homology–like).
Based on the 40-strain analysis and our capability to obtain adequate numbers of mice, C57BLKS/J and C57BL10/J were selected for further analysis as the sensitive and resistant strains, respectively. At 12 hours, lavage protein increased in sensitive C57BLKS/J mice, but not in resistant C57BL/10J mice (P < 0.001) (Figure 3). At 24 hours, lavage protein increased in the C57BL/10J mice, compared with strain-matched control mice. The lung tissue from the sensitive C57BLKS/J strain demonstrated perivascular enlargement (Figure 4C) and alveolar wall thickening (Figure 4E) within 12 hours, compared with strain-matched control mice (Figure 4A). Neither perivascular enlargement nor alveolar wall thickening was evident in C57BL/10J mice after 12 hours (Figures 4D and 4F), compared with strain-matched control mice (Figure 4B).
In addition to nonsynonymous SNPs, the 28 candidate genes identified by haplotype mapping were evaluated for strain differences in lung transcript levels before (0 hours) or after (6 or 12 hours) chlorine exposure (n = 8 mice/strain/time) (Table E3). Baseline lung transcripts encoding acetoacetyl coenzyme A synthetase (log2 = 0.7 ± 0.1) and cytochrome P450 family 11, subfamily A, polypeptide 1 (log2 = 1.2 ± 0.2) increased, and Kruppel-like factor (gut)-4 (KLF-4) (log2 = −1.5 ± 0.3) decreased, in C57BLKS/J compared with C57BL/10J mice.
At 6 hours, KLF4 and solute carrier family 38, member 4 (SLC38A4) transcripts increased less in C57BLKS/J than in C57BL/10J mice (Figure 5). At 12 hours, KLF4, semaphorin-7A (SEMA7A), SLC38A4, and tensin 1 (TNS1) transcripts increased less in C57BLKS/J than in C57BL/10J mice. Transcripts for other candidate genes either decreased similarly in both murine strains (e.g., SLC35A5 or SLCO4C1; Figure E1 in the online supplement), or were not significantly different from control values after exposure. The interrogation of SNPs within the 5′ untranslated region (promoter) that could change putative DNA-binding sites was evident in six of the differentially expressed genes (Table 2). These SNPs (except those in Klf4) could explain approximately 14–35% of the phenotypic difference between polar strains. Using microarrays, we identified 41 increased and 10 decreased transcripts within 104 transcription factors that were related to the binding sites identified in the promoter SNPs (Table E4).
The pathway enrichment of transcripts that differed between the sensitive and resistant strains before or during exposure (n = 6 female mice/strain/time) was assessed by microarray (Table E5). In general, the baseline lung transcriptome of C57BLKS/J mice was similar to that of C57BL10/J mice, with 161 increased and 106 decreased transcripts in the C57BLKS/J compared with the C57BL/10J strain. The only pathway with significant enrichment was that of natural killer–mediated cytotoxicity. Members in this pathway included nine transcripts that encoded killer cell lectin-like receptors (also known as inhibitory LY49-proteins), which decreased in C57BLKS/J mice compared with C57BL/10J mice.
After exposure, significantly increased lung transcripts in sensitive C57BLKS/J mice were enriched in pathways that included the Rous sarcoma oncogene (Src) homology–3 domain, transcription factor activity, and cell death (Figure E2A). After exposure, decreased transcripts in the sensitive C57BLKS/J mice were enriched in pathways that included protein transport, translation, and the development of vasculature (Figure E2B). After exposure, increased transcripts in resistant C57BL/10J mice were enriched in pathways that included cell adhesion, cytoskeletal organization, and the protein catabolic process (Figure E3A). Decreased transcripts in resistant C57BL/10J mice were enriched in pathways that included RNA binding, transcription, and mitochondria (Figure E3B).
Noteworthy contrasts between strains in related pathways included the transcription factor activity pathway, which contained transcripts that increased more in sensitive C57BLKS/J lungs, and the transcription pathway, which contained transcripts that decreased more in resistant C57BL/10J lungs. Similarly, the protein transport pathway was enriched with decreased transcripts in sensitive C57BLKS/J lungs, whereas the protein catabolic process pathway was enriched with increased transcripts in resistant C57BL/10J lungs. Pathways that were altered nearly equally in both strains included the nuclear factor erythroid-derived–2–like–2 (NFE2L2, also known as NRF2)–mediated oxidative stress response (Figure 6).
Lung metabolomic profiling of these strains identified 280 compounds (Table E6). In general, basal lung metabolites were similar between the sensitive and resistant strains (i.e., only seven increased and six decreased molecules differed significantly between strains). Compared with resistant C57BL/10J mice, the basal metabolite in sensitive C57BLKS/J murine lungs that was reduced comprised cytosine, and metabolites that were elevated included phenylacetylglycine, S-methylglutathione, and ophthalmate.
Exposure markedly altered the lung metabolomic profile. At 6 hours and 12 hours of chlorine exposure, 95 metabolites were altered in at least one strain, compared with strain-matched control mice. LRpath analysis identified the amino acid pathway to be significantly different between strains and with treatment (Table E7).
Noteworthy metabolites in the amino acid pathway that changed with exposure included alanine, which decreased more in C57BLKS/J than in C57BL/10J mice, and glutamine, which increased more in C57BL/10J than in C57BLKS/J mice (Figure 7). Subpathways enriched with exposure included (1) glycerolipid metabolism (e.g., decreased glycerophosphocholine and glycerol 3-phosphate), (2) medium chain fatty acids (e.g., increased caprylate [8:0] and laurate [12:0]), and (3) phenylalanine and tyrosine metabolism. The metabolites that changed in these subpathways did not differ between strains (except for phenol sulfate, which increased more in C57BL/10J mice). Other metabolites changed in both strains included increased 3-hydroxybutyric acid (BHBA), and decreased lactate, 1-palmitoleoylglycerophosphocholine, and 1-palmitoleoylglycerophosphoinositol. Small molecules that increased more in the sensitive C57BLKS/J than in the resistant C57BL/10J strain included two carbohydrates (sorbitol and fructose).
In this study, chlorine produced an approximately 3-fold increase in lavage protein at 12 hours in the sensitive C57BLKS/J strain, or at 24 hours in the resistant C57BL/10J strain (Figure 3). These findings are similar to those of Zarogiannis and colleagues (17). Lung histology also indicated that the C57BLKS/J mice developed injury sooner than the C57BL/10J mice (Figure 4). The finding of perivascular enlargement should be evaluated with caution, because it can result from tissue processing. The histological samples obtained at 6 and 12 hours were selected mainly to coincide with transcriptomic and metabolomic analyses. These times may have been too early to uncover a great deal of lung injury or inflammatory infiltrate. Gross pathology revealed that lungs were marked by focal hemorrhages at the time of death. This similarity of this histological feature among strains suggests that the extent of injury was the same at the time of death, and that the phenotype being measured is survival time.
Ascorbate decreased slightly, but not to the extent of statistical significance. Both strains demonstrated nearly equivalent decreases in gulono-1,4-lactone (an ascorbate precursor) and dehydroascorbate (an ascorbate metabolite) (Table E6). Similarly, both strains exhibited a nearly equivalent enrichment of the NFE2L2-mediated oxidative stress pathway (Figure 4). Thus, although the response to oxidative stress was similar in both strains, resistance can be defined as the ability to prolong survival. The objective of this study was to uncover the genetic basis that could provide additional metabolic or other homeostatic capacities during chlorine-induced lung injury.
We identified 28 candidate genes with SNP associations. We prioritized these genes by several criteria, including the phenotypic difference associated with nonsynonymous SNPs in functional domains or with promoter SNPs matched with variable expression by transcriptomic analyses. In addition, we paired these relationships with altered metabolites identified by metabolomic profiling. This integrative approach revealed 13 candidate genes (Tables 1 and and2),2), and of these, Klf4, Sema7a, Tns1, Slc38a4, and Aacs were more noteworthy, and could be associated with survival in several ways.
For example, Krüppel-like factor (gut)–4 (KLF4) can protect against lung injury (68). KLF4, a transcription factor, regulates cadherin-5 expression in adherens junctions, and KLF4 knockdown augments LPS-induced lung injury in mice. KLF4 mRNA also can be induced by other stresses (69, 70). Here, lung KLF4 transcripts increased more in the resistant C57BL/10J mice than in the sensitive C57BLKS/J mice (Figure 5).
Another candidate, semaphorin-7A (SEMA7A), can be induced by transforming growth factor–β (TGFB1) and mediates TGFB1-induced alveolar apoptosis (71). SEMA7A polymorphisms are associated with abnormal bone mineral density in Korean women (72). During acute lung injury, TGFB1 can increase endothelial and epithelial permeability (73–75), and the inhibition of TGFB1 can diminish lung injury (66, 76–78). SEMA7A can mediate AKT phosphorylation (71), which is associated with increased cell survival (79) and is protective during lung injury (80). In this study, promoter Sema7a SNPs associated with 12–16% of the difference in survival phenotype (Table 2) and SEMA7A mRNA increased longer in the resistant C57BL/10J strain, compared with C57BLKS/J strain (Figure 5).
TNS1 polymorphisms have been associated with lung function and chronic obstructive lung disease (81, 82). TNS1, a scaffold protein, recruits and organizes enzymes at focal adhesions and mediates cell migration in wound healing (83). The C-terminal domain of TNS1 has a Src homology–2 domain that binds focal adhesion kinase, and a phosphotyrosine-binding domain that binds integrin-β. Osmotic stress alters the binding partners to the Src homology–2 domain (84). In this study, 12–16% of the difference in survival between polar strains associated with two Tns1 promoter SNPs (Table 2) and lungs from the resistant C57BL/10J strain demonstrated a prolonged increase in lung TNS1 mRNA after exposure to chlorine (Figure 5). In addition, we detected a nonsynonymous SNP (N1882S) in the integrin-β binding domain with an approximately 30% allelic frequency that associated with approximately 20% of the phenotypic difference (Figure 2 and Table 1).
During injury, lung epithelial cells are likely to be challenged by energetic stress (60). In general, cell survival can depend, in part, on limiting energy expenditure through many defense strategies (85, 86). Alternately, the activation of energy-yielding pathways for ATP production may be required for energetic needs incurred upon injury. Lactate and alanine decreased after chlorine exposure, and these metabolites are the precursors for pyruvate and subsequently acetyl-coenzyme A (acetyl-CoA). Thus, this response implicates an increased utilization of aerobic metabolism via the Krebs cycle. Interestingly, both strains exhibited a marked elevation in Krebs-cycle intermediates (citrate and cis-aconitate in C57BLKS/J, and fumarate in C57BL/10J).
Restricting energy-dependent solute carriers can conserve energy, but this may be counterproductive because they are critical for energy substrate uptake and fluid absorption. Thus, cellular stress may modulate the array of solute carriers. Several pathways and candidate genes identified in this study include solute carrier (SLC) proteins. In particular, SLC35A5, SLCO4C1, and SLC38A4 were associated with increased susceptibility to chlorine-induced lung injury. Little is known about SLC35A5, which is a putative nucleotide–sugar transporter, based on a shared homology with SLC35A1 (87). SLCO4C1, an organic anion transporter, can transport eicosanoids, thyroid hormone, and steroids (88). Although the SLCO4C1 transcript and protein are present in the lung (Figures E4 and E5), the role of SLOC4C1 in lung injury remains unclear. SLCO4C1 is protective in kidney disease (89), and a human SLCO4C1 SNP was associated with preeclampsia (90). In this study, nonsynonymous SNPs were identified (Table 1), but these SNPs did not occur in known functional domains. In addition, lung SLCO4C1 and SLC35A1 transcripts decreased nearly equivalently in the resistant and sensitive strains during chlorine injury (Figure E1).
In contrast, lung SLC38A4 transcripts increased more in the resistant compared with the sensitive mice (Figure 5). SLC38A4 is a sodium-coupled neutral amino acid (including alanine and glutamine) transporter. The tagSNP (rs32255071) on chromosome 15 was associated with SLC38A4 (−log(P) = 6.25). Promoter Slc38a4 SNPs were associated with 13–16% of the difference in survival (Table 2).
The transcriptomic profiling of lung transcripts that decreased more in sensitive C57BLKS/J compared with resistant C57BL/10J mice identified enrichment in the protein transport pathway (Figure E2B). In contrast, the protein catabolic process pathway contained transcripts that increased more in the resistant C57BL/10J strain than in the sensitive C57BLKS/J strain (Figure E3A). Similarly, metabolomic profiling indicated enrichment in the amino acid pathway, and individual amino acids, including glutamine, increased more in the resistant C57BL/10J than in the sensitive C57BLKS/J strain. Alanine decreased more in the sensitive C57BLKS/J than in the resistant C57BL/10J strain. Alanine can be used during energetic stress to generate pyruvate and glutamate (91). Moreover, glutamine can attenuate acute lung injury by inducing heat-shock proteins (92–94). Thus, of the three solute carrier proteins identified, SLC38A4 is worthy of additional investigation.
The ability to increase lung glutamine also may be important in the improved survival of the resistant C57BL/10J strain through additional roles in metabolism. Although glucose is generally thought to be the primary substrate for energy metabolism in most tissues, energetics in the lung are complex, as manifested by multiple substrate usage. Here, glucose was unchanged, whereas lactate decreased equally between strains. Interestingly, a fatty acid β-oxidation ketone body, BHBA, increased in both strains initially, but was maintained longer in resistant C57BL/10J mice, possibly reflecting greater fatty-acid β-oxidation in the resistant strain. Previously, Fox and colleagues (95) measured oxidation rates of glucose, glutamine, lactate, and BHBA in alveolar Type II cells from fetal rats. The CO2 formation from lactate was greater than from glutamine, which in turn was greater than from BHBA. The rate of glucose oxidation was lower than in all these substrates (~ 5 times less than that of glutamine). In addition, glucose, but not lactate, inhibited the oxidation of glutamine. Similarly, alanine is also a substrate for energy production in alveolar Type II cells (96). Thus, glutamine, alanine, and other substrates can be oxidized for added energy in alveolar epithelial cells.
The alveolar Type II cell is a critical target during lung injury because it generates pulmonary surfactant, which maintains alveolar patency. Pulmonary surfactant consists of phospholipids (mainly dipalmitoylglycerophosphocholine), surfactant proteins, electrolytes, and other biomolecules. Surfactant-associated protein B (SFTPB) mRNA decreased in the sensitive C57BLKS/J mice more rapidly than in the C57BL/10J mice (i.e., log2 = −1.2 versus −0.3 at 6 hours, respectively). This is relevant because maintaining SFTPB is critical to survival during acute lung injury in mice (19, 27, 39).
Surfactant lipid production uses glucose-dependent fatty-acid synthesis, but fatty acids can also be generated from lactate or ketone bodies (97). In the lung, ketone metabolism also can serve as an energy source. Alternately, acetoacetate can be used in the synthesis of phospholipids, including palmitoylglycerophosphocholines, and thus have a potential role in supplying adequate surfactant lipids. Cytosolic lipid synthesis from acetoacetate can conserve energy by bypassing the pathway involving the ATP-dependent supply of acetyl units from the mitochondria to cytosol (98, 99). Nonsynonymous SNPs were identified in Aacs that could lead to Thr321Ile substitution in the acyl-protein synthetase domain (Table 1). AACS, a cytosolic acetoacetate (ketone bodies)–specific ligase, catalyzes the formation of short-chain acyl-CoA from acetoacetate, thereby providing acetyl-CoA for fatty-acid synthesis (100). Two lysophospholipids, 1-palmitoleoylglycerophosphocholine and 1-palmitoleoylglycerophosphoinositol, were decreased in the lungs of the sensitive C57BLKS/J murine strain (Table E6). Overall, the use of similar substrates for energy production and surfactant synthesis could create competition between these pathways, especially in times of stress and injury. Therefore, to better define these relationships in future mechanistic studies is imperative.
Another candidate gene is the inhibitor of κB kinase complex–associated protein (Ikbkap, also known as IKAP). Human IKBKAP polymorphisms produce a truncated protein that has been associated with familial dysautonomia, a recessive disease that affects the nervous system (101, 102). Neuronal dysfunction leads to several defects, including abnormal respiratory hypoxic responses and pneumonia (103). IKBKAP was named on the basis of its reported ability to bind to and assemble IκB kinases into an active complex (104). Later studies, however, failed to confirm a role in NF-κB activation, and instead reported IKBKAP to be involved in transcription elongation (105), Jun N-terminal kinase-mediated stress signaling (106), and cell migration (107). Here, we identified three nonsynonymous SNPs in murine Ikbkap that could lead to amino acid substitutions in exons 11, 18, and 36, associated with a phenotypic difference in survival (Table 1). The Gly662Val substitution is in the IKI3 domain likely to be involved in IKBKAP's transcriptional elongation function.
This study provides an integrative strategy that combines haplotype mapping, transcriptomics, and metabolomics to assess chlorine-induced acute lung injury in mice. However, as with any investigation, each approach has limitations that cannot be fully overcome by our combined approach. First, we acknowledge that each approach is essentially descriptive, and that our experimental design did not provide information on a mechanistic basis for acute lung injury. Rather, this study was designed to provide high-content information that screened potential candidate genes, transcriptional responses, and metabolic pathways related to strain-specific differences in lung injury that can be followed up in mechanistic studies.
Second, analyses of transcripts and metabolites detected in lung tissue involve limitations. Lung homeostasis is complex and requires the consideration of contributions from other tissues such as liver, kidney, adipose tissue, and blood. The steady-state level of transcripts or metabolites in a pathway is limited, and could reflect either the activation of an upstream process or the inhibition of a downstream process. Full interpretation of these results will require further assessments of precursor/product relationships, biochemical sites of regulation, and combinatorial rate-limiting steps in multienzymatic pathways.
Third, although chlorine-induced acute lung injury has relevance to accidental human exposures, numerous other agents can produce acute lung injury (18). The genetic and metabolomic findings here may have been limited by the use of a single agent. We recently identified candidate genes associated with acrolein-induced acute lung injury (58) and these genes differed from those identified with chlorine. Until several types of chemically induced acute lung injury have been evaluated, generalizations to other forms may not be warranted. Nonetheless, a major candidate identified previously with acrolein was Acvr1 (Activin A receptor, type 1), which implicated TGFB1 signaling. In the present study, TGFB1 signaling was also implicated with chlorine by the identification of Sema7a.
In conclusion, mean survival times varied by approximately 5-fold among strains, and haplotype mapping identified SNP associations on chromosomes 1, 4, 5, 9, and 15. Microarrays revealed several enriched pathways, including protein transport, which decreased more in sensitive C57BLKS/J lungs, and the protein catabolic process, which increased more in resistant C57BL/10J lungs. Lung metabolomic profiling revealed that 95 of the 280 metabolites measured were altered by chlorine exposures, and included alanine, which decreased more in the C57BLKS/J strain, and glutamine, which increased more in the C57BL/10J than in the C57BLKS/J strain. The results from haplotype mapping were evaluated by an integrated assessment using transcriptomic and metabolomic profiling. The identified candidate genes associated with increased susceptibility to acute lung injury in mice included Klf4, Sema7a, Tns1, Aacs, and an amino acid carrier, Slc38a4. These genes or genes in related pathways may help direct future human genetic studies to evaluate such pathways.
Author Contributions: G.D.L., K.B., A.B., M.M., N.K., M.Y., D.R.P., and D.L.K. were responsible for this study's conception and design. H.P.-V., V.J.C., P.L., K.B., A.B., T.M.M., K.G., A.S.J., K.A.B., R.A.D., S.U., Y.P.P.D., Q.L., Z.H., L.J.V., M.M., N.K., M.Y., D.C.A., J.E.M., D.R.P., G.D.L., and J.P.F. were responsible for the analyses and interpretation in this study. G.D.L., K.B., D.R.P., and J.P.F. were responsible for drafting the manuscript for important intellectual content.
This study was supported by National Institutes of Health grants ES015675, HL077763, and HL085655 (G.D.L.), HL091938 (Y.P.P.D.), HG003749 and LM009662 (M.M.), HL084932 and HL095397 (N.K.), AT003203, AT005522, CA113793, and CA134433 (M.Y.), HL075562 (D.R.P.), and HL086981 (D.L.K.).
This article has an online supplement, which is accessible from this issue's table of contents at www.atsjournals.org
Originally Published in Press as DOI: 10.1165/rcmb.2012-0026OC on March 23, 2012