Cystic fibrosis (CF) is a life-shortening disease caused by a mutation in the cystic fibrosis transmembrane conductance regulator (CFTR) gene. To gain an understanding of the epithelial dysfunction associated with CF mutations and discover biomarkers for therapeutics development, untargeted metabolomic analysis was performed on primary human airway epithelial cell cultures from three separate cohorts of CF patients and non-CF subjects. Statistical analysis revealed a set of reproducible and significant metabolic differences between the CF and non-CF cells. Aside from changes that were consistent with known CF effects, such as diminished cellular regulation against oxidative stress and osmotic stress, new observations on the cellular metabolism in the disease were generated. In the CF cells, the levels of various purine nucleotides, which may function to regulate cellular responses via purinergic signaling, were significantly decreased. Furthermore, CF cells exhibited reduced glucose metabolism in glycolysis, pentose phosphate pathway, and sorbitol pathway, which may further exacerbate oxidative stress and limit the epithelial cell response to environmental pressure. Taken together, these findings reveal novel metabolic abnormalities associated with the CF pathological process and identify a panel of potential biomarkers for therapeutic development using this model system.
Cystic fibrosis (CF)
The scientific advances in understanding the genetic defect and the effects of specific mutations have been dramatic. In recent years, access to new treatments and improvements in standard of care have dramatically improved the outlook for people with CF (
CF is caused by mutations in cystic fibrosis transmembrane conductance regulator (CFTR), which encodes an ATP-gated, anion-selective channel that conducts chloride ions across the epithelial cell membrane. Chloride transport is a critical requirement for maintenance of an appropriately hydrated liquid layer on the epithelial surface. Mutations in CFTR lead to defective chloride transport, a major contributor to the pathological thickening of mucus in the lung and blockage of the ducts of other affected organs.
The application of genetics and molecular biology have had a significant impact on our understanding of the effects of gene mutations on the CFTR protein (
Much of the recent knowledge of the effects of the F508del mutation on CFTR function has been delineated through the use of a model system in which human bronchial epithelial cells are isolated from the explant lung tissue of CF and non-CF subjects after lung transplantation (
Interestingly, the effects of CFTR gene mutations cause a myriad of downstream biological changes, and the relationship between these changes and the resulting clinical symptoms remains poorly understood. For example, levels of NO and
Global metabolomics is a new and powerful technology that can provide a relatively complete picture of the metabolism in biological systems and has recently been applied to a wide variety of important problems (
Primary human airway epithelial cell cultures from three separate cohorts of CF (F508del homozygous) and non-CF (wild-type) subjects were provided by University of Iowa in Vitro Models and Cell Culture Core (study 1), University of North Carolina CF Center Tissue Culture Core (study 2), and University of Pittsburgh Cystic Fibrosis Research Center (study 3). Following lung transplantation, the primary cells were harvested under the Institutional Review Board-approved protocols of each institution.
For the University of Iowa cohort, the airway epithelial cells were obtained from 13 CF and 12 non-CF donors as previously described (
For the University of North Carolina cohort, the airway epithelial cells were obtained from 7 CF and 8 non-CF donors. Briefly, primary cells derived from single patient sources were expanded on plastic to generate passage 1 cells, which were plated at a density of 250,000 cells/cm2 on permeable membrane support (Transwell-Col, 12- or 24-mm diameter, Corning; Millicells, 12-mm diameter, Millipore) and maintained in a specialty media (
For the University of Pittsburgh cohort, the airway epithelial cells were obtained from 8 CF and 8 non-CF donors. The cells were cultured on human placental collagen-coated Costar Transwell filters (0.33 cm2) as described previously (
The metabolomic platforms were described previously in detail (
The samples were extracted using an automated MicroLab STAR® system (Hamilton Company, Salt Lake City, UT) in 400 μl of methanol, containing the recovery standards. The samples destined for GC/MS analysis were dried under vacuum desiccation for a minimum of 24 hours and then derivatized under dried nitrogen using bistrimethyl-silyl-triflouroacetamide. The GC column was 5% phenyl, and the temperature ramp was from 40 to 300 °C in a 16-min period. Samples were analyzed on a Thermo-Finnigan Trace DSQ fast-scanning single-quadrupole mass spectrometer using electron impact ionization.
UHPLC/MS/MS was carried out using a Waters Acquity UHPLC (Waters Corporation, Milford, MA) coupled to an LTQ mass spectrometer (Thermo Fisher Scientific Inc., Waltham, MA) equipped with an electrospray ionization source. Two separate UHPLC/MS injections were performed on each sample: one optimized for positive ions and one for negative ions. Chromatographic separation followed by full scan mass spectra was carried out to record retention time, molecular weight (
Metabolites were identified by automated comparison of the ion features in the experimental samples with a reference library of chemical standard entries that included retention time, molecular weight (
After the data were corrected for minor variation resulting from instrument interday tuning differences (
Statistical analysis of the data were performed using JMP (SAS), a commercial software package, and “R,” which is a freely available open-source, software package. Welch's two-sample
To assess which metabolites consistently distinguished the CF and non-CF groups across the three studies, meta-analysis was performed using Fisher's statistic [Fisher]:
Clinical samples often have substantial biological variation. To assess biochemical differences with strong statistical significance between CF and non-CF cells, it would be ideal to analyze a sufficiently large number of samples per experimental group. However, it was challenging to obtain a large number of both CF and non-CF donors for airway epithelial cells at a single clinical site. Thus, we completed three independent metabolomic analyses: a cohort of 13 CF and 12 non-CF samples collected by the University of Iowa in Vitro Models and Cell Culture Core (study 1); a cohort of 7 CF and 8 non-CF samples collected by the University of North Carolina CF Center Tissue Culture Core (study 2); and a cohort of 8 CF and 8 non-CF samples collected by the University of Pittsburgh Cystic Fibrosis Research Center (study 3).
In samples from each of the three cohorts, ∼400 metabolites were detected. Among these metabolites, 137, 162, and 198 metabolites with known chemical structures were identified for study 1, 2, and 3 respectively. These metabolites are listed in the
For each cohort, the differences in the metabolite levels between CF and non-CF samples were calculated by the ratio of their group means. The statistical significance of the differences was analyzed by Welch's
One of the most significant differences between the CF and non-CF cells was in nucleotide metabolism, especially purine biosynthesis. As shown in a condensed scheme in
A clear difference in tryptophan metabolism was detected between the CF and non-CF cells. The main tryptophan catabolic route is via the kynurenine pathway. Tryptophan is converted to kynurenine and, ultimately, to precursors for NAD synthesis. As shown in
Glutathione and its associated metabolites showed significant differences between CF and non-CF cells (
The levels of two major cellular osmolytes, sorbitol and glycerophosphorylcholine, were significantly reduced in the CF cells compared with the non-CF cells (
Glucose plays a central function in cellular metabolism to produce energy and biosynthetic precursors of nucleotides and fatty acids. The levels of glucose and various glycolytic intermediates, including glucose 6-phosphate, fructose 6-phoshpate, and lactate, were significantly reduced in CF cells. In addition, the levels of various metabolites in other branches of glucose metabolism were decreased in CF cells. Decreases were measured in the levels of ribulose-5-phosphate from the pentose phosphate pathway, malate from the tricarboxylic acid cycle, and sorbitol and fructose from the sorbitol pathway (
Although it is known that CF is caused by mutations in the CFTR gene, the specific means by which defective CFTR signaling leads to the disease phenotypes such as alteration of airway surface liquid volume, mucus deposition, inflammation, and deficient anti-microbial properties, remains incompletely understood. Murine models of CF do not recapitulate human CF lung disease (
Human airway epithelial cell cultures of cells isolated from lung tissue following lung transplantation have been widely used as a model system to study CF disease (
One of the hallmarks of the CF disease phenotype is the depletion of airway surface liquid, leading to the formation of thickened mucus plaques and plugs in the airway surfaces. The underlying mechanism has been suggested to be accelerated Na+ absorption and defective Cl2− secretion in the airway epithelial cells (
Among the most significant metabolic perturbations were the decreases of various purine metabolites measured in CF cells. As shown in
It is well established that purines can function as signal moleculars to regulation various physiological processes associated with health and disease. Especially under the context of CF, adenosine and other purine nucleotides are important regulators of airway surface liquid volume via activation of both CFTR-dependent and CFTR-independent purinergic receptors (
To our knowledge this is the first study to measure metabolites of purine biosynthesis directly from lung epithelial cells. Our results are in contrast to the elevated purine levels that have been detected in exhaled breath condensate of CF patients, potentially as a result of neutrophil inflammation in the airway (
The accumulation of cytosolic inorganic ions in the cell undoubtedly also interferes with cell volume regulation. In our metabolomic analysis, the levels of two major cellular organic osmolytes, sorbitol and glycerophosphorylcholine, were significantly diminished. Organic osmolytes play a central function in cell volume regulation. Unlike inorganic ions, they do not interfere with protein stability and ion gradient-driven transporters (
Several metabolite differences measured between CF and non-CF cells were in agreement with the current understanding of CF-associated metabolism. In our metabolomic analysis, both reduced and oxidized glutathione levels were significantly decreased in CF cells (
Mutations in CFTR lead to disruptions of GSH levels in both the intracellular and the extracellular milieu (
Although CFTR has been shown to transport GSH, it is also possible that CFTR interacts with other GSH transporters and affects GSH transport through these interactions. CFTR has been shown to functionally and physically associate with MRP4, a cAMP transporter which is also a putative GSH transporter (
Glutathione is the most abundant cellular redox molecule and is critical for maintaining the redox status in cells. Reduced glutathione levels may result in oxidative conditions, further contributing to the pathology of CF (
In addition, we identified alterations in two biochemical pathways in CF cells that could further aggravate oxidative stress conditions. First, indications of suppressed glucose metabolism, including the pentose phosphate pathway, were observed in CF cells (
In the present study, significant differences in metabolism, including differences in pathways key to cellular function, between CF and non-CF cells were uncovered using metabolomic analysis. These results suggest that CF pathogenesis may be largely mediated at the level of metabolism. Furthermore, the biochemical profiles provide additional insights into CF disease and suggest metabolism-based disease mechanisms that can be developed into testable hypotheses. In addition, metabolites showing altered levels between CF and non-CF cells could be used as potential biomarkers for the discovery and development of novel therapeutics.
This work was supported by Cystic Fibrosis Foundation Therapeutics, Inc.
The on-line version of this article (available at
The abbreviations used are:
cystic fibrosis CF transmembrane conductance regulator false discovery rate tandem mass spectrometry ultrahigh performance liquid chromatography.
Joseph Pilewski, M.D., Joseph Zabner, M.D., and Scott Randell, Ph.D. kindly contributed to the primary bronchial epithelial cells used in this study.