Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2013 Jul 1.
Published in final edited form as: Ann N Y Acad Sci. 2012 Jul;1259(1):1–9. doi: 10.1111/j.1749-6632.2012.06580.x

Omics approaches in cystic fibrosis research: a focus on oxylipin profiling in airway secretions

Jason P Eiserich 1,2, Jun Yang 3, Brian M Morrissey 1, Bruce D Hammock 3, Carroll E Cross 1,2
PMCID: PMC3403728  NIHMSID: NIHMS371793  PMID: 22758630

Abstract

Cystic fibrosis (CF) is associated with abnormal lipid metabolism, intense respiratory tract (RT) infection, and inflammation, eventually resulting in lung tissue destruction and respiratory failure. The CF RT inflammatory milieu, as reflected by airway secretions, include a complex array of inflammatory mediators, bacterial products, and host secretions. It is dominated by neutrophils and their proteolytic and oxidative products and includes a wide spectrum of bioactive lipids produced by both host and presumably microbial metabolic pathways. The fairly recent advent of “omics” technologies has greatly increased capabilities of further interrogating this easily obtainable RT compartment that represents the apical culture media of the underlying RT epithelial cells. The current paper discusses issues related to the study of CF omics with a focus on the profiling of CF RT oxylipins. Challenges in their identification/quantitation in RT fluids, their pathways of origin, and their potential utility for understanding CF RT inflammatory and oxidative processes are highlighted. Finally, the utility of oxylipin metabolic profiling in directing optimal therapeutic approaches and determining the efficacy of various interventions is discussed.

Keywords: cystic fibrosis, inflammation, omics, oxylipins, respiratory tract secretions

Introduction

Cystic fibrosis (CF) is a genetic disease ascribed to mutations in the CFTR gene, which codes for the widely expressed CFTR chloride channel. Clinically, the disease manifestations include pancreatic insufficiency, intestinal malabsorption, and respiratory tract (RT) defects in fluid and electrolyte balance, mucociliary clearance, host defenses against microbes, and heightened inflammatory/immune responses. The resulting nutritional deficiencies include abnormalities in lipid absorption, including lipophilic antioxidant micronutrients, whereas the RT abnormalities are dominated by progressively more severe bacterial infection and the overly aggressive inflammatory response leading to lung destruction and premature death [1].

inflammation and oxidative stress in the CF rt

The interrelated RT pathobiology of CF involves chronic airway infection by microorganisms overcoming CF RT host defenses, as well as a dysregulated and heightened RT inflammatory response characterized by a progressively more intense sustained neutrophil recruitment and activation [2]. Abundant evidence supports the ongoing pro-oxidative environment of CF RT secretions, [35] which is largely attributed to activation of the NADPH oxidase (Nox-2) and further exacerbated by the catalytic activity of myeloperoxiase (MPO) of the recruited airway neutrophils, but also including contributions of pro-oxidant species released from microorganisms such as P. aeruginosa and from endogenous RT epithelial cells (i.e. Duox enzymes). The presence of elevated levels of the non-enzymatic lipid peroxidation products of arachidonic acid, (isoprostanes) in CF plasma, buccal mucosa cells, breath condensate, and bronchoalveolar lavage fluids attests to the pro-oxidant status of the CF RT. Although active RT oxidative processes represent a well-recognized hallmark in CF RT secretions affecting both host and resident microbe biology [4, 6], efficacious anti-inflammatory and antioxidant therapies in CF have not met with major success. For example, inhaled GSH trials have failed to improve any standard biomarkers of RT oxidative stress [7, 8]. N-Acetylcysteine (NAC) administration trials in CF patients have also failed to improve RT biomarkers of oxidative stress or yield convincing evidence of efficacy [9]. It can be concluded that, despite two decades of efforts, there is no strong case for supplemental antioxidant administrations beyond those to sustain normal plasma levels of the lipophilic antioxidants (e.g., vitamin E).

Omic approaches in CF

Newer methods for more qualitative and quantitative characterization of the pathobiology driven by CFTR mutations giving rise to CF phenotypes are integrating with the myriad of molecular biology that has emerged in the two decades since discovery of the CF gene. These new-era technologies include those focused on systems-level approaches to global analysis of cell, tissue, and organ CF tissues [10, 11]. As illustrated in Figure 1, these technologies focus on mutant CFTR effects on cellular message levels (genomics/transcriptomics), cellular protein and protein networks (proteomics), lipids and lipid metabolic pathways (lipidomics), and overall integrative omics (metabolomics). All of the new omics approaches are in the quest of further understanding CF pathophysiology that could reveal strategies for improved therapeutic approaches and clinical patient outcomes.

Figure 1.

Figure 1

Generalized and lipid-specific scheme to illustrate omics pathways from gene to phenotype with regard to understanding CF airway biology and pathobiology.

Many of the omics approaches have been targeted towards increased understanding of how mutated CFTR impacts on basic cellular functions beyond its primary role in chloride ion transport [1219]. Other omics studies have focused on CF tissues [18, 2022], CF blood compartments [2325], bronchoalveolar lavage fluid, [26, 27] and exhaled breath condensate [28, 29]. These latter two fluids have the advantage that they are collected directly from the RT, the tissue of greatest impact by CF. However, these two methods have the disadvantages that they are approximately 100 times and 10,000 times diluted with water, respectively, and neither collects secretions exclusively from the airways, the lung compartment most directly affected in CF. Several of the omic interrogations have incriminated the involvement of inflammatory-immune system genes in determining the severity of a given mutant CFTR genotype’s phenotype [3032]. Other omic studies have presented evidence suggesting a mechanistic link between mutations in CFTR and acquisition of the proinflammatory phenotype in the CF RT [33]. Mutant CFTR effects on CF neutrophil function may even represent manifestations of one such activity modulating neutrophil function [34], although this may be related to the compromised chloride ion transport function associated with mutant CFTR. [35] A recent paper has presented evidence for an even more widespread mutant CFTR modulation of function in cells of the inflammatory/immune system that is generally recognized [36].

The overall field of lipidomics has progressed somewhat slower than that of genomics and proteomics. Contributing factors could include the diversity of biomolecular lipid classes, including fatty acids and their derivatives (amides, esters, oxygenated species), phosopholipids, di- and triglycerides, sphingolipids, sterols, and numerous non-enzymatic oxylipids (e.g., isoprostanes). Lipid isolation from complex tissue matrices, extraction efficiencies, availability of standards, bioinformatic tools, and integration with imaging and other omics databases are only just being refined. Nonetheless, technologies are advancing rapidly [37, 38]. Some of these studies have addressed oxidized phosopholipids, [39] including those in CF patients [40, 41]. Many papers have focused on lipidomic profiling of inflammatory lipid mediators (lipoxins) including the well-known eicosanoids synthesized from arachidonic acid (20:4), as well as the major omega-3 polyunsaturated fatty acids eicosapentaenoic acid (EPA, 20:5) and docosohexaenoic acid (DHA, 22:6) [42-45]. Two excellent recent reviews have detailed protocols and addressed lipid mediator profiling in various CF tissue matrices [46, 47].

Oxylipin profiling of CF RT airway secretions

The term oxylipins (sputum) covers a broad spectrum of compounds, many of which have high biological activities and which are formed from unsaturated fatty acids in a cascade of reactions most of which include at least one step of mono- or dioxygen-catalyzed oxygenation. There are several reasons for focusing on RT oxylipins in CF, a disease known to be associated with abnormalities of lipid absorption, both in extracellular and cellular lipid constituencies [4856]. Arachidonic acid levels appear higher, whereas longer chained 20:5 and 22:6 fatty acids appear reduced, probably largely (but not only) as a function of their reduced absorption and dysregulated metabolism [57, 58]. Recently, genes in the arachidonic acid-prostagladin-endoperoxide synthetase pathway have been reported as possible modulators of disease severity in CF patients [59]. A wide spectrum of oxidative lipid products, most notably those of 20:4, 20:5 and 22:6, are increasingly being recognized to be important regulators of the intensity and duration of acute and chronic inflammatory pathways, [43, 45, 5964] including those initiated in the lung by P450 pathways upon microbial exposure [65]. Of relevance, there are several reports of abnormalities of polyunsaturated lipid oxidation products, such as the lipoxins in inflammatory RT CF secretions, that have been reported [66, 67].

As of 2011, we are not aware of any published studies applying broad-spectrum oxylipin profiling methods to investigate the intensely infected and inflamed CF RT. The resident pool of oxylipins can be expected to be embedded in a complex matrix of CF sputum [68, 69] that itself has both pro-oxidant and antioxidant properties [3]. Although it is relatively easy to collect freshly expectorated RT secretions from CF patients, specimen processing including measures to prevent further artifactual oxidation, lipid extraction methods and strategies for evaluating extraction efficiency and data expression present practical, yet surmountable challenges. In several cases, key validation compounds (quantitative internal standards) of interest are not readily available from individual or corporate investigators. This has particularly presented obstacles in the determination of several of the more recently described oxidized polyunsaturated fatty acids with novel anti-inflammatory properties. The CF mucus oxylipin profile can be expected to represent the omics of not only most inflammatory cells and RT epithelial cells, but also reflect the contributions of a wide spectrum of airway microbiota [70] including P. aeruginosa, in the context of their residence in the CF airway [71, 72].

Despite these challenges, our laboratory groups have embarked upon developing methods (both sample preparation and analytical) to ascertain the profile of oxylipins in RT secretions from subjects capable of producing spontaneously expectorated sputum, as is the case for most adult CF patients. We have found that liquid–liquid solvent extraction of freshly obtained whole expectorated sputum is the most highly efficient method for recovering oxylipins. We preserve/stabilize the specimens with butylated hydroxyltoluene (BHT), triphenylphosphine, (TPP) and a broad spectrum COX inhibitor (indomethacin). The specimens are immediately frozen on dry ice and we take all practical steps to minimize exposure to air (it would be preferable to overlay an inert gas) during the subsequent work-up procedures. We subsequently utilize a state-of-the-art LC/MS/MS analytical method previously optimized [73], and which is capable of screening nearly 100 diverse oxylipins within a single LC run of 20 minutes (see Fig. 2). Thus far, we have been capable of identifying greater than 30 oxylipins in adult CF sputums. As illustrated in Figure 2, employing this analytical procedure, and coupled with multiple statistical methods, we have established that this oxylipin metabolomic method provides a potentially unique view into the complex inflammatory-immune processes occurring in the CF airway. A general scheme that illustrates our method is depicted in Figure 2. Of the detected oxylipins, approximately 75% are derived from arachidonic acid, 20% from linoleic acid, and a much smaller quantity from EPA and DHA. The predominant source of oxylipin metabolites in CF sputum is the 12-lipoxygenase pathway (12-LOX) (~50%), followed by 5-lipoxygenase (5-LOX) (~35%), cyclooxygenase (~5%), 15-LOX (~3%), and the remainder coming from P-450 dependent pathways. Not surprisingly, the predominant oxylipin metabolites present in the CF RT are typically regarded as proinflammatory. Much lower levels of anti-inflammatory oxylipins were detected including Resolvin E1. Interestingly, Lipoxin A4 was not detected in any of the CF sputum specimens we examined, suggesting a deficiency of this anti-inflammatory lipid mediator. Figure 3 summarizes the oxylipins we have detected in CF sputum to date using our LC/MS/MS method, inclusive of their parent fatty acid. Preliminary analyses using the oxylipin metabolome in aggregate, as opposed to individual metabolite measurements, provides a more robust association with overall lung function (assessed by FEV1, % of predicted). The complete data and discussion of these findings are the topic of a recently submitted manuscript.95

Figure 2.

Figure 2

Generalized scheme illustrating an LC/MS/MS metabolomic approach to comprehensively evaluate bioactive oxylipin profiles in CF RT secretions.

Figure 3.

Figure 3

Summary of oxylipins detected in adult CF sputum as a function of the parent unsaturated fatty acid.

Potential microbial contribution to oxylipins in CF sputum

While the prevailing wisdom would indicate that oxylipins present in the CF airway likely primarily arise from host cells and tissues/lipid substrates, the presence of large numbers of bacteria (particularly P. aeruginosa) begs the question as to the possible involvement of microorganisms in the synthesis and metabolism of the analyzed RT oxylipins. P. aeruginosa contain primarily short chain saturated fatty acids [74], thus they are not a source of the parent fatty acids of the oxylipins we have detected in our studies. However, recent studies have revealed that P. aeruginosa express a secreted cytotoxin (ExoU) with phospholipase activity capable of liberating free unsaturated fatty acids (LA and AA) from host cells [75]. Moreover, P. aeruginosa express a number of fatty acid metabolizing enzymes including dioxygenases, hydroperoxide isomerases, and arachidonate 15-lipoxygenase, [76, 77] that may directly contribute to the oxygenation of fatty acids in the CF airway. A recent study has also identified an epoxide hydrolase produced by P. aeruginosa [78] that could potentially be utilized to convert epoxyeicosanoic acids (EETs), thus diminishing the anti-inflammatory functions of these oxylipins in the CF RT. The possibility that P. aeruginosa, and potentially other bacteria, may play a key role in the synthesis and metabolism of bioactive oxylipins in the CF airway is particularly exciting and remains a fertile area of investigation.

Translational implications

It is not difficult to envision how comprehensive oxylipin profiling could be incorporated into an increased understanding of the inflammatory versus anti-inflammatory bioactive lipid contributions to inflammatory-immune processes at RT apical cellular surfaces. Such mechanistic data could be incorporated into clinical trials focused on ameliorating the excessive RT inflammation in CF, and inform efficacies of systemic versus aerosolized treatments, when linked to appropriate patient outcome studies [7981].

RT oxylipin profiling in CF should provide dose-ranging insights with regard to nutritional and drug therapies targeted to modify bioactive lipid contributions to RT inflammatory pathobiology. These include the overly exuberant pro-inflammatory processes in CF that are possibly related to the high arachidonic acid and low DHA/EPA concentrations observed in patients with CF, and the degree to which CF lipid and oxylipin abnormalities can be influenced by dietary [49, 8286] or pharmacological [8789] interventions, including even antibiotics with anti-inflammatory activities that are used in treating CF patients [90], statins, [91, 92] and antiproteases [93]. It is important to note that some of these approaches are likely to modulate both host and microbe, and their interactions, in addition to solely affecting host inflammatory pathways. A theoretical list of emerging CF therapies and approaches that could influence CF RT lipidomics and reveal anti-inflammatory strategies are depicted in Table 1. Such approaches appear strengthened by recent data showing that select anti-inflammatory oxylipins (or their fatty acid precursors) appear to both facilitate antimicrobial activity and decrease inflammatory processes [94], stimulating experimental activities designed for focal delivery of these compounds directly to the CF RT via inhalation routes.

Table 1.

Therapeutic approaches that could influence CF RT oxylipin profiles

  • Modulators of cyclooxygenase (COX) and leukotriene pathways

  • Modulators of RT lipid metabolism
    • Statins
    • Phospholipase inhibitors
    • Cytochrome P450 modulators
    • PPAR gamma agonists
    • Soluble epoxide hydrolase inhibitors
  • Antibiotics with anti-inflammatory properties such as azithromycin and tetracycline’s

  • Inhaled antiproteases

  • Sildenafil

  • Oral, systemic, or inhaled anti-inflammatory oxylipins

Clinical studies of the full inflammatory/anti-inflammatory profile of oxylipins in the CF RT are needed to more fully unveil significance of anti-inflammatory oxylipin-based therapies in the disease. Many of these oxylipins are already known to be therapeutic targets of and a contributor of inflammatory-immune processes, but their efficacy within the RT airway fluids have not been extensively investigated. As therapeutic manipulation of both pro-inflammatory and anti-inflammatory oxylipin profiles are increasingly being proposed as effective respiratory tract disease modifiers, it can be speculated that more than one oxylipin target or pathway will be needed for addressing this aspect of anti-inflammatory therapy in CF.

Summary

The purpose of identifying CF omic signatures is to provide clinically useful clues for improved patient management and disease outcome. Further omic characterization of the infected, inflamed, and oxidizing RT fluids (separating the atmospheric environment from the underlying RT cells) should provide for new insights into CF disease pathobiology. Such omic approaches should additionally mechanistically inform new targets for anti-inflammatory and anti-oxidant therapies and complement clinical studies specifically designed to decrease overzealous RT inflammatory-immune pathways. Interestingly, eicosanoid lipidomics are starting to be examined in human breath condensates [42]. Finally, detailed studies of the inflamed CF RT secretions could lead to further understanding and therapeutics of the broad swath of RT diseases characterized by activation of RT inflammatory-immune processes, including those initiated by toxic inhaled environmental agents.

Acknowlegments

The authors would like to thank the patient volunteers who participated in the study. The work was supported by a fellowship from Cystic Fibrosis Research, Inc. (JY), the Cystic Fibrosis Foundation support of the UCD Adult CF Program (CEC and BMM), the NIH (HL092506, JPE and CEC), and in part by NIEHS SBRP Grant p42 ES004699, NIEHS Grant R37 ES02710, and NIH/NIEHS Grant R01 ES013933 (BDH).

Footnotes

Conflicts of interest The authors declare no conflicts of interest.

References

  • [1].Rowe SM, Miller S, Sorscher EJ. Cystic fibrosis. N Engl J Med. 2005;352:1992–2001. doi: 10.1056/NEJMra043184. [DOI] [PubMed] [Google Scholar]
  • [2].Downey DG, Bell SC, Elborn JS. Neutrophils in cystic fibrosis. Thorax. 2009;64:81–88. doi: 10.1136/thx.2007.082388. [DOI] [PubMed] [Google Scholar]
  • [3].van der Vliet A, Eiserich JP, Marelich GP, Halliwell B, Cross CE. Oxidative stress in cystic fibrosis: does it occur and does it matter? Adv Pharmacol. 1997;38:491–513. doi: 10.1016/s1054-3589(08)60996-5. [DOI] [PubMed] [Google Scholar]
  • [4].Cantin AM, White TB, Cross CE, Forman HJ, Sokol RJ, Borowitz D. Antioxidants in cystic fibrosis. Free Radic Biol Med; Conclusions from the CF antioxidant workshop; Bethesda, Maryland. November 11-12, 2003; 2007. pp. 15–31. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [5].Galli F, Battistoni A, Gambari R, Pompella A, Bragonzi A, Pilolli F, Iuliano L, Piroddi M, Dechecchi MC, Cabrini G. Oxidative stress and antioxidant therapy in cystic fibrosis. Biochim Biophys Acta. 2012;1822:690–713. doi: 10.1016/j.bbadis.2011.12.012. [DOI] [PubMed] [Google Scholar]
  • [6].Chang W, Small DA, Toghrol F, Bentley WE. Microarray analysis of Pseudomonas aeruginosa reveals induction of pyocin genes in response to hydrogen peroxide. Bmc Genomics. 2005;6:1–14. doi: 10.1186/1471-2164-6-115. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [7].Griese M, Ramakers J, Krasselt A, Starosta V, Van Koningsbruggen S, Fischer R, Ratjen F, Mullinger B, Huber RM, Maier K, Rietschel E, Scheuch G. Improvement of alveolar glutathione and lung function but not oxidative state in cystic fibrosis. Am J Respir Crit Care Med. 2004;169:822–828. doi: 10.1164/rccm.200308-1104OC. [DOI] [PubMed] [Google Scholar]
  • [8].Hartl D, Starosta V, Maier K, Beck-Speier I, Rebhan C, Becker BF, Latzin P, Fischer R, Ratjen F, Huber RM, Rietschel E, Krauss-Etschmann S, Griese M. Inhaled glutathione decreases PGE2 and increases lymphocytes in cystic fibrosis lungs. Free Radic Biol Med. 2005;39:463–472. doi: 10.1016/j.freeradbiomed.2005.03.032. [DOI] [PubMed] [Google Scholar]
  • [9].Duijvestijn YC, Brand PL. Systematic review of N-acetylcysteine in cystic fibrosis. Acta Paediatr. 1999;88:38–41. doi: 10.1080/08035259950170574. [DOI] [PubMed] [Google Scholar]
  • [10].Balch WE. Introduction to section II: omics in the biology of cystic fibrosis. Methods Mol Biol. 2011;742:189–191. doi: 10.1007/978-1-61779-120-8_11. [DOI] [PubMed] [Google Scholar]
  • [11].Drumm ML, Ziady AG, Davis PB. Genetic Variation and Clinical Heterogeneity in Cystic Fibrosis. Annu Rev Pathol. 2012;7:267–282. doi: 10.1146/annurev-pathol-011811-120900. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [12].Srivastava M, Eidelman O, Pollard HB. Pharmacogenomics of the cystic fibrosis transmembrane conductance regulator (CFTR) and the cystic fibrosis drug CPX using genome microarray analysis. Molecular Medicine. 1999;5:753–767. [PMC free article] [PubMed] [Google Scholar]
  • [13].Virella-Lowell I, Herlihy JD, Liu B, Lopez C, Cruz P, Muller C, Baker HV, Flotte TR. Effects of CFTR, interleukin-10, and Pseudomonas aeruginosa on gene expression profiles in a CF bronchial epithelial cell Line. Mol Ther. 2004;10:562–573. doi: 10.1016/j.ymthe.2004.06.215. [DOI] [PubMed] [Google Scholar]
  • [14].Ollero M, Brouillard F, Edelman A. Cystic fibrosis enters the proteomics scene: new answers to old questions. Proteomics. 2006;6:4084–4099. doi: 10.1002/pmic.200600028. [DOI] [PubMed] [Google Scholar]
  • [15].Wetmore DR, Joseloff E, Pilewski J, Lee DP, Lawton KA, Mitchell MW, Milburn MV, Ryals JA, Guo L. Metabolomic profiling reveals biochemical pathways and biomarkers associated with pathogenesis in cystic fibrosis cells. J Biol Chem. 2010;285:30516–30522. doi: 10.1074/jbc.M110.140806. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [16].Henderson MJ, Singh OV, Zeitlin PL. Applications of proteomic technologies for understanding the premature proteolysis of CFTR. Expert Rev Proteomics. 2010;7:473–486. doi: 10.1586/epr.10.42. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [17].Collawn JF, Fu L, Bebok Z. Targets for cystic fibrosis therapy: proteomic analysis and correction of mutant cystic fibrosis transmembrane conductance regulator. Expert Rev Proteomics. 2010;7:495–506. doi: 10.1586/epr.10.45. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [18].Gomes-Alves P, Imrie M, Gray RD, Nogueira P, Ciordia S, Pacheco P, Azevedo P, Lopes C, de Almeida AB, Guardiano M, Porteous DJ, Albar JP, Boyd AC, Penque D. SELDI-TOF biomarker signatures for cystic fibrosis, asthma and chronic obstructive pulmonary disease. Clin Biochem. 2010;43:168–177. doi: 10.1016/j.clinbiochem.2009.10.006. [DOI] [PubMed] [Google Scholar]
  • [19].Pieroni L, Finamore F, Ronci M, Mattoscio D, Marzano V, Mortera SL, Quattrucci S, Federici G, Romano M, Urbani A. Proteomics investigation of human platelets in healthy donors and cystic fibrosis patients by shotgun nUPLC-MSE and 2DE: a comparative study. Mol Biosyst. 2011;7:630–639. doi: 10.1039/c0mb00135j. [DOI] [PubMed] [Google Scholar]
  • [20].Zabner J, Scheetz TE, Almabrazi HG, Casavant TL, Huang J, Keshavjee S, McCray PB., Jr CFTR DeltaF508 mutation has minimal effect on the gene expression profile of differentiated human airway epithelia. Am J Physiol Lung Cell Mol Physiol. 2005;289:545–553. doi: 10.1152/ajplung.00065.2005. [DOI] [PubMed] [Google Scholar]
  • [21].Wright JM, Merlo CA, Reynolds JB, Zeitlin PL, Garcia JG, Guggino WB, Boyle MP. Respiratory epithelial gene expression in patients with mild and severe cystic fibrosis lung disease. Am J Respir Cell Mol Biol. 2006;35:327–336. doi: 10.1165/rcmb.2005-0359OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [22].Wu X, Peters-Hall JR, Ghimbovschi S, Mimms R, Rose MC, Pena MT. Glandular gene expression of sinus mucosa in chronic rhinosinusitis with and without cystic fibrosis. Am J Respir Cell Mol Biol. 2011;45:525–533. doi: 10.1165/rcmb.2010-0133OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [23].Srivastava M, Eidelman O, Jozwik C, Paweletz C, Huang W, Zeitlin PL, Pollard HB. Serum proteomic signature for cystic fibrosis using an antibody microarray platform. Mol Genet Metab. 2006;87:303–310. doi: 10.1016/j.ymgme.2005.10.021. [DOI] [PubMed] [Google Scholar]
  • [24].Charro N, Hood BL, Faria D, Pacheco P, Azevedo P, Lopes C, de Almeida AB, Couto FM, Conrads TP, Penque D. Serum proteomics signature of cystic fibrosis patients: a complementary 2-DE and LC-MS/MS approach. J Proteomics. 2011;74:110–126. doi: 10.1016/j.jprot.2010.10.001. [DOI] [PubMed] [Google Scholar]
  • [25].Jozwik CE, Pollard HB, Srivastava M, Eidelman O, Fan Q, Darling TN, Zeitlin PL. Antibody microarrays: analysis of cystic fibrosis. Methods Mol Biol. 2012;823:179–200. doi: 10.1007/978-1-60327-216-2_12. [DOI] [PubMed] [Google Scholar]
  • [26].Gharib SA, Vaisar T, Aitken ML, Park DR, Heinecke JW, Fu X. Mapping the lung proteome in cystic fibrosis. J Proteome Res. 2009;8:3020–3028. doi: 10.1021/pr900093j. [DOI] [PubMed] [Google Scholar]
  • [27].Wolak JE, Esther CR, Jr., O’Connell TM. Metabolomic analysis of bronchoalveolar lavage fluid from cystic fibrosis patients. Biomarkers. 2009;14:55–60. doi: 10.1080/13547500802688194. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [28].Montuschi P, Paris D, Melck D, Lucidi V, Ciabattoni G, Raia V, Calabrese C, Bush A, Barnes PJ, Motta A. NMR spectroscopy metabolomic profiling of exhaled breath condensate in patients with stable and unstable cystic fibrosis. Thorax. 2012;67:222–228. doi: 10.1136/thoraxjnl-2011-200072. [DOI] [PubMed] [Google Scholar]
  • [29].Robroeks CM, van Berkel JJ, Dallinga JW, Jobsis Q, Zimmermann LJ, Hendriks HJ, Wouters MF, van der Grinten CP, van de Kant KD, van Schooten FJ, Dompeling E. Metabolomics of volatile organic compounds in cystic fibrosis patients and controls. Pediatr Res. 2010;68:75–80. doi: 10.1203/PDR.0b013e3181df4ea0. [DOI] [PubMed] [Google Scholar]
  • [30].Collaco JM, Cutting GR. Update on gene modifiers in cystic fibrosis. Curr Opin Pulm Med. 2008;14:559–566. doi: 10.1097/MCP.0b013e3283121cdc. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [31].McDougal KE, Green DM, Vanscoy LL, Fallin MD, Grow M, Cheng S, Blackman SM, Collaco JM, Henderson LB, Naughton K, Cutting GR. Use of a modeling framework to evaluate the effect of a modifier gene (MBL2) on variation in cystic fibrosis. Eur J Hum Genet. 2010;18:680–684. doi: 10.1038/ejhg.2009.226. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [32].Stanke F, Becker T, Kumar V, Hedtfeld S, Becker C, Cuppens H, Tamm S, Yarden J, Laabs U, Siebert B, Fernandez L, Macek M, Jr., Radojkovic D, Ballmann M, Greipel J, Cassiman JJ, Wienker TF, Tummler B. Genes that determine immunology and inflammation modify the basic defect of impaired ion conductance in cystic fibrosis epithelia. J Med Genet. 2011;48:24–31. doi: 10.1136/jmg.2010.080937. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [33].Xu Y, Liu C, Clark JC, Whitsett JA. Functional genomic responses to cystic fibrosis transmembrane conductance regulator (CFTR) and CFTR(delta508) in the lung. J Biol Chem. 2006;281:11279–11291. doi: 10.1074/jbc.M512072200. [DOI] [PubMed] [Google Scholar]
  • [34].Adib-Conquy M, Pedron T, Petit-Bertron AF, Tabary O, Corvol H, Jacquot J, Clement A, Cavaillon JM. Neutrophils in cystic fibrosis display a distinct gene expression pattern. Molecular Medicine. 2008;14:36–44. doi: 10.2119/2007-00081.Adib-Conquy. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [35].Painter RG, Bonvillain RW, Valentine VG, Lombard GA, LaPlace SG, Nauseef WM, Wang G. The role of chloride anion and CFTR in killing of Pseudomonas aeruginosa by normal and CF neutrophils. J Leukoc Biol. 2008;83:1345–1353. doi: 10.1189/jlb.0907658. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [36].Ratner D, Mueller C. Immune responses in Cystic Fibrosis; are they intrinsically defective? Am J Respir Cell Mol Biol. 2012 doi: 10.1165/rcmb.2011-0399RT. In Press. [DOI] [PubMed] [Google Scholar]
  • [37].Wenk MR. Lipidomics: new tools and applications. Cell. 2010;143:888–895. doi: 10.1016/j.cell.2010.11.033. [DOI] [PubMed] [Google Scholar]
  • [38].Quehenberger O, Dennis EA. The human plasma lipidome. N Engl J Med. 2011;365:1812–1823. doi: 10.1056/NEJMra1104901. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [39].Bochkov VN, Oskolkova OV, Birukov KG, Levonen AL, Binder CJ, Stockl J. Generation and biological activities of oxidized phospholipids. Antioxid Redox Signal. 2010;12:1009–1059. doi: 10.1089/ars.2009.2597. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [40].Guerrera IC, Astarita G, Jais JP, Sands D, Nowakowska A, Colas J, Sermet-Gaudelus I, Schuerenberg M, Piomelli D, Edelman A, Ollero M. A novel lipidomic strategy reveals plasma phospholipid signatures associated with respiratory disease severity in cystic fibrosis patients. PLoS One. 2009;4:e7735. doi: 10.1371/journal.pone.0007735. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [41].Ollero M, Astarita G, Guerrera IC, Sermet-Gaudelus I, Trudel S, Piomelli D, Edelman A. Plasma lipidomics reveals potential prognostic signatures within a cohort of cystic fibrosis patients. J Lipid Res. 2011;52:1011–1022. doi: 10.1194/jlr.P013722. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [42].Sanak M, Gielicz A, Nagraba K, Kaszuba M, Kumik J, Szczeklik A. Targeted eicosanoids lipidomics of exhaled breath condensate in healthy subjects. J Chromatogr B Analyt Technol Biomed Life Sci. 2010;878:1796–1800. doi: 10.1016/j.jchromb.2010.05.012. [DOI] [PubMed] [Google Scholar]
  • [43].Serhan CN. Novel lipid mediators and resolution mechanisms in acute inflammation: to resolve or not? Am J Pathol. 2010;177:1576–1591. doi: 10.2353/ajpath.2010.100322. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [44].Massey KA, Nicolaou A. Lipidomics of polyunsaturated-fatty-acid-derived oxygenated metabolites. Biochem Soc Trans. 2011;39:1240–1246. doi: 10.1042/BST0391240. [DOI] [PubMed] [Google Scholar]
  • [45].Stables MJ, Gilroy DW. Old and new generation lipid mediators in acute inflammation and resolution. Prog Lipid Res. 2011;50:35–51. doi: 10.1016/j.plipres.2010.07.005. [DOI] [PubMed] [Google Scholar]
  • [46].Lundstrom SL, Balgoma D, Wheelock AM, Haeggstrom JZ, Dahlen SE, Wheelock CE. Lipid mediator profiling in pulmonary disease. Curr Pharm Biotechnol. 2011;12:1026–1052. doi: 10.2174/138920111795909087. [DOI] [PubMed] [Google Scholar]
  • [47].Ollero M, Guerrera IC, Astarita G, Piomelli D, Edelman A. New lipidomic approaches in cystic fibrosis. Methods Mol Biol. 2011;742:265–278. doi: 10.1007/978-1-61779-120-8_16. [DOI] [PubMed] [Google Scholar]
  • [48].Vaughan WJ, Lindgren FT, Whalen JB, Abraham S. Serum lipoprotein concentrations in cystic fibrosis. Science. 1978;199:783–786. doi: 10.1126/science.203033. [DOI] [PubMed] [Google Scholar]
  • [49].Freedman SD, Blanco PG, Zaman MM, Shea JC, Ollero M, Hopper IK, Weed DA, Gelrud A, Regan MM, Laposata M, Alvarez JG, O’Sullivan BP. Association of cystic fibrosis with abnormalities in fatty acid metabolism. N Engl J Med. 2004;350:560–569. doi: 10.1056/NEJMoa021218. [DOI] [PubMed] [Google Scholar]
  • [50].Iuliano L, Monticolo R, Straface G, Zullo S, Galli F, Boaz M, Quattrucci S. Association of cholesterol oxidation and abnormalities in fatty acid metabolism in cystic fibrosis. Am J Clin Nutr. 2009;90:477–484. doi: 10.3945/ajcn.2009.27757. [DOI] [PubMed] [Google Scholar]
  • [51].Carlstedt-Duke J, Bronnegard M, Strandvik B. Pathological regulation of arachidonic acid release in cystic fibrosis: the putative basic defect. Proc Natl Acad Sci U S A. 1986;83:9202–9206. doi: 10.1073/pnas.83.23.9202. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [52].Miele L, Cordella-Miele E, Xing M, Frizzell R, Mukherjee AB. Cystic fibrosis gene mutation (deltaF508) is associated with an intrinsic abnormality in Ca2+-induced arachidonic acid release by epithelial cells. DNA Cell Biol. 1997;16:749–759. doi: 10.1089/dna.1997.16.749. [DOI] [PubMed] [Google Scholar]
  • [53].Al-Turkmani MR, Freedman SD, Laposata M. Fatty acid alterations and n-3 fatty acid supplementation in cystic fibrosis. Prostaglandins Leukot Essent Fatty Acids. 2007;77:309–318. doi: 10.1016/j.plefa.2007.10.009. [DOI] [PubMed] [Google Scholar]
  • [54].Rhodes B, Nash EF, Tullis E, Pencharz PB, Brotherwood M, Dupuis A, Stephenson A. Prevalence of dyslipidemia in adults with cystic fibrosis. J Cyst Fibros. 2010;9:24–28. doi: 10.1016/j.jcf.2009.09.002. [DOI] [PubMed] [Google Scholar]
  • [55].Strandvik B. Fatty acid metabolism in cystic fibrosis. Prostaglandins Leukot Essent Fatty Acids. 2010;83:121–129. doi: 10.1016/j.plefa.2010.07.002. [DOI] [PubMed] [Google Scholar]
  • [56].Bravo E, Napolitano M, Valentini SB, Quattrucci S. Neutrophil unsaturated fatty acid release by GM-CSF is impaired in cystic fibrosis. Lipids Health Dis. 2011;9:129. doi: 10.1186/1476-511X-9-129. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [57].Njoroge SW, Seegmiller AC, Katrangi W, Laposata M. Increased Delta5- and Delta6-desaturase, cyclooxygenase-2, and lipoxygenase-5 expression and activity are associated with fatty acid and eicosanoid changes in cystic fibrosis. Biochim Biophys Acta. 2011;1811:431–440. doi: 10.1016/j.bbalip.2011.05.002. [DOI] [PubMed] [Google Scholar]
  • [58].Njoroge SW, Laposata M, Katrangi W, Seegmiller AC. DHA and EPA reverse cystic fibrosis-related FA abnormalities by suppressing FA desaturase expression and activity. J Lipid Res. 2012;53:257–265. doi: 10.1194/jlr.M018101. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [59].Czerska K, Sobczynska-Tomaszewska A, Sands D, Nowakowska A, Bak D, Wertheim K, Poznanski J, Zielenski J, Norek A, Bal J. Prostaglandin-endoperoxide synthase genes COX1 and COX2 - novel modifiers of disease severity in cystic fibrosis patients. J Appl Genet. 2010;51:323–330. doi: 10.1007/BF03208862. [DOI] [PubMed] [Google Scholar]
  • [60].Bonnans C, Levy BD. Lipid mediators as agonists for the resolution of acute lung inflammation and injury. Am J Respir Cell Mol Biol. 2007;36:201–205. doi: 10.1165/rcmb.2006-0269TR. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [61].Serhan CN, Lu Y, Hong S, Yang R. Mediator lipidomics: search algorithms for eicosanoids, resolvins, and protectins. Methods Enzymol. 2007;432:275–317. doi: 10.1016/S0076-6879(07)32012-0. [DOI] [PubMed] [Google Scholar]
  • [62].Navarro-Xavier RA, Newson J, Silveira VL, Farrow SN, Gilroy DW, Bystrom J. A new strategy for the identification of novel molecules with targeted proresolution of inflammation properties. J Immunol. 2010;184:1516–1525. doi: 10.4049/jimmunol.0902866. [DOI] [PubMed] [Google Scholar]
  • [63].Visioli F, Giordano E, Nicod NM, Davalos A. Molecular targets of omega 3 and conjugated linoleic Fatty acids - “micromanaging” cellular response. Front Physiol. 2012;3:1–11. doi: 10.3389/fphys.2012.00042. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [64].Higdon A, Diers AR, Oh JY, Landar A, Darley-Usmar VM. Cell signalling by reactive lipid species: new concepts and molecular mechanisms. Biochem J. 2012;442:453–464. doi: 10.1042/BJ20111752. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [65].Kiss L, Schutte H, Padberg W, Weissmann N, Mayer K, Gessler T, Voswinckel R, Seeger W, Grimminger F. Epoxyeicosatrienoates are the dominant eicosanoids in human lungs upon microbial challenge. Eur Respir J. 2010;36:1088–1098. doi: 10.1183/09031936.00000309. [DOI] [PubMed] [Google Scholar]
  • [66].Takai D, Nagase T, Shimizu T. New therapeutic key for cystic fibrosis: a role for lipoxins. Nat Immunol. 2004;5:357–358. doi: 10.1038/ni0404-357. [DOI] [PubMed] [Google Scholar]
  • [67].Chiron R, Grumbach YY, Quynh NV, Verriere V, Urbach V. Lipoxin A(4) and interleukin-8 levels in cystic fibrosis sputum after antibiotherapy. J Cyst Fibros. 2008;7:463–468. doi: 10.1016/j.jcf.2008.04.002. [DOI] [PubMed] [Google Scholar]
  • [68].Voynow JA, Rubin BK. Mucins, mucus, and sputum. Chest. 2009;135:505–512. doi: 10.1378/chest.08-0412. [DOI] [PubMed] [Google Scholar]
  • [69].Fahy JV, Dickey BF. Airway mucus function and dysfunction. N Engl J Med. 2010;363:2233–2247. doi: 10.1056/NEJMra0910061. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [70].Cox MJ, Allgaier M, Taylor B, Baek MS, Huang YJ, Daly RA, Karaoz U, Andersen GL, Brown R, Fujimura KE, Wu B, Tran D, Koff J, Kleinhenz ME, Nielson D, Brodie EL, Lynch SV. Airway microbiota and pathogen abundance in age-stratified cystic fibrosis patients. PLoS One. 2010;5:e11044. doi: 10.1371/journal.pone.0011044. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [71].Firoved AM, Deretic V. Microarray analysis of global gene expression in mucoid Pseudomonas aeruginosa. J Bacteriol. 2003;185:1071–1081. doi: 10.1128/JB.185.3.1071-1081.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [72].Oberhardt MA, Goldberg JB, Hogardt M, Papin JA. Metabolic network analysis of Pseudomonas aeruginosa during chronic cystic fibrosis lung infection. J Bacteriol. 2010;192:5534–5548. doi: 10.1128/JB.00900-10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [73].Yang J, Schmelzer K, Georgi K, Hammock BD. Quantitative profiling method for oxylipin metabolome by liquid chromatography electrospray ionization tandem mass spectrometry. Anal Chem. 2009;81:8085–8093. doi: 10.1021/ac901282n. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [74].Moss CW, Samuels SB, Weaver RE. Cellular fatty acid composition of selected Pseudomonas species. Appl Microbiol. 1972;24:596–598. doi: 10.1128/am.24.4.596-598.1972. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [75].Sato H, Feix JB, Hillard CJ, Frank DW. Characterization of phospholipase activity of the Pseudomonas aeruginosa type III cytotoxin, ExoU. J Bacteriol. 2005;187:1192–1195. doi: 10.1128/JB.187.3.1192-1195.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [76].Vance RE, Hong S, Gronert K, Serhan CN, Mekalanos JJ. The opportunistic pathogen Pseudomonas aeruginosa carries a secretable arachidonate 15-lipoxygenase. Proc Natl Acad Sci U S A. 2004;101:2135–2139. doi: 10.1073/pnas.0307308101. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [77].Martinez E, Hamberg M, Busquets M, Diaz P, Manresa A, Oliw EH. Biochemical characterization of the oxygenation of unsaturated fatty acids by the dioxygenase and hydroperoxide isomerase of Pseudomonas aeruginosa 42A2. J Biol Chem. 2010;285:9339–9345. doi: 10.1074/jbc.M109.078147. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [78].Bahl CD, Morisseau C, Bomberger JM, Stanton BA, Hammock BD, O’Toole GA, Madden DR. Crystal structure of the cystic fibrosis transmembrane conductance regulator inhibitory factor Cif reveals novel active-site features of an epoxide hydrolase virulence factor. J Bacteriol. 2010;192:1785–1795. doi: 10.1128/JB.01348-09. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [79].Mayer-Hamblett N, Aitken ML, Accurso FJ, Kronmal RA, Konstan MW, Burns JL, Sagel SD, Ramsey BW. Association between pulmonary function and sputum biomarkers in cystic fibrosis. Am J Respir Crit Care Med. 2007;175:822–828. doi: 10.1164/rccm.200609-1354OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [80].Konstan MW, Wagener JS, Yegin A, Millar SJ, Pasta DJ, VanDevanter DR. Design and powering of cystic fibrosis clinical trials using rate of FEV(1) decline as an efficacy endpoint. J Cyst Fibros. 2010;9:332–338. doi: 10.1016/j.jcf.2010.05.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [81].Liou TG, Elkin EP, Pasta DJ, Jacobs JR, Konstan MW, Morgan WJ, Wagener JS. Year-to-year changes in lung function in individuals with cystic fibrosis. J Cyst Fibros. 2010;9:250–256. doi: 10.1016/j.jcf.2010.04.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [82].Jiang Q, Yin X, Lill MA, Danielson ML, Freiser H, Huang J. Long-chain carboxychromanols, metabolites of vitamin E, are potent inhibitors of cyclooxygenases. Proc Natl Acad Sci U S A. 2008;105:20464–20469. doi: 10.1073/pnas.0810962106. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [83].Keen C, Olin AC, Eriksson S, Ekman A, Lindblad A, Basu S, Beermann C, Strandvik B. Supplementation with fatty acids influences the airway nitric oxide and inflammatory markers in patients with cystic fibrosis. J Pediatr Gastroenterol Nutr. 2010;50:537–544. doi: 10.1097/MPG.0b013e3181b47967. [DOI] [PubMed] [Google Scholar]
  • [84].Rice TW, Wheeler AP, Thompson BT, deBoisblanc BP, Steingrub J, Rock P. Enteral omega-3 fatty acid, gamma-linolenic acid, and antioxidant supplementation in acute lung injury. JAMA. 2011;306:1574–1581. doi: 10.1001/jama.2011.1435. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [85].Sabater J, Masclans JR, Sacanell J, Chacon P, Sabin P, Planas M. Effects of an omega-3 fatty acid-enriched lipid emulsion on eicosanoid synthesis in acute respiratory distress syndrome (ARDS): A prospective, randomized, double-blind, parallel group study. Nutr Metab (Lond) 2011;8:22. doi: 10.1186/1743-7075-8-22. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [86].van der Meij BS, van Bokhorst-de van der Schueren MA, Langius JA, Brouwer IA, van Leeuwen PA. n-3 PUFAs in cancer, surgery, and critical care: a systematic review on clinical effects, incorporation, and washout of oral or enteral compared with parenteral supplementation. Am J Clin Nutr. 2011;94:1248–1265. doi: 10.3945/ajcn.110.007377. [DOI] [PubMed] [Google Scholar]
  • [87].Guilbault C, Wojewodka G, Saeed Z, Hajduch M, Matouk E, De Sanctis JB, Radzioch D. Cystic fibrosis fatty acid imbalance is linked to ceramide deficiency and corrected by fenretinide. Am J Respir Cell Mol Biol. 2009;41:100–106. doi: 10.1165/rcmb.2008-0279OC. [DOI] [PubMed] [Google Scholar]
  • [88].Rossi A, Pergola C, Koeberle A, Hoffmann M, Dehm F, Bramanti P, Cuzzocrea S, Werz O, Sautebin L. The 5-lipoxygenase inhibitor, zileuton, suppresses prostaglandin biosynthesis by inhibition of arachidonic acid release in macrophages. Br J Pharmacol. 2010;161:555–570. doi: 10.1111/j.1476-5381.2010.00930.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [89].Liu JY, Yang J, Inceoglu B, Qiu H, Ulu A, Hwang SH, Chiamvimonvat N, Hammock BD. Inhibition of soluble epoxide hydrolase enhances the anti-inflammatory effects of aspirin and 5-lipoxygenase activation protein inhibitor in a murine model. Biochem Pharmacol. 2010;79:880–887. doi: 10.1016/j.bcp.2009.10.025. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [90].Ribeiro CM, Hurd H, Wu Y, Martino ME, Jones L, Brighton B, Boucher RC, O’Neal WK. Azithromycin treatment alters gene expression in inflammatory, lipid metabolism, and cell cycle pathways in well-differentiated human airway epithelia. PLoS One. 2009;4:e5806. doi: 10.1371/journal.pone.0005806. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [91].Planaguma A, Pfeffer MA, Rubin G, Croze R, Uddin M, Serhan CN, Levy BD. Lovastatin decreases acute mucosal inflammation via 15-epi-lipoxin A4. Mucosal Immunol. 2010;3:270–279. doi: 10.1038/mi.2009.141. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [92].Kaddurah-Daouk R, Baillie RA, Zhu H, Zeng ZB, Wiest MM, Nguyen UT, Watkins SM, Krauss RM. Lipidomic analysis of variation in response to simvastatin in the Cholesterol and Pharmacogenetics Study. Metabolomics. 2010;6:191–201. doi: 10.1007/s11306-010-0207-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [93].Brennan S. Revisiting alpha1-antitrypsin therapy in cystic fibrosis: can it still offer promise? Eur Respir J. 2007;29:229–230. doi: 10.1183/09031936.00159606. [DOI] [PubMed] [Google Scholar]
  • [94].Spite M, Norling LV, Summers L, Yang R, Cooper D, Petasis NA, Flower RJ, Perretti M, Serhan CN. Resolvin D2 is a potent regulator of leukocytes and controls microbial sepsis. Nature. 2009;461:1287–1291. doi: 10.1038/nature08541. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [95].Yang, et al. 2011. submitted.

RESOURCES