PERSPECTIVE
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Genetic Risk of Developing IRDS |
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Until recently, respiratory distress has most commonly
been attributed to developmental immaturity; however,
the genetic risk for respiratory distress in infancy has been
increasingly recognized. Reports of family clusters of affected infants and of ethnic- and gender-based respiratory
phenotypes point to the contribution of inheritance. Similarly, different outcomes among gestation-matched infants
with comparable exposures to oxygen, mechanical ventilation, or nutritional deficiency also suggest a genetic risk
for respiratory distress (6). Genetic variations in surfactant
protein (SP) genes A and B have provided the first examples of genetic risk of developing respiratory distress. Although ablation of the SP-A in mice does not result in respiratory distress for prematurely born pups (7, 8), differences
in inheritance of SP-A alleles 1 and 2 in a Finish population has been shown to associate with different frequencies of respiratory distress (9). Conversely, infants homozygous for a mutation in codon 121 in exon 4 of SP-B consistently develop respiratory distress within the first
12-24 h of life (10, 11) and genetic disruption of SP-B in
mice causes obvious neonatal respiratory distress (12). Thus,
it appears that different SP-A gene alleles may be indirectly linked to IRDS, whereas loss of function of SP-B is
clearly associated with IRDS. Aside from the surfactant
protein genes, disruptions of several extrapulmonary genes
have also been shown to produce neonatal respiratory
distress. For example, disrupting the biologic function of
GlcNAc N-deacetylase/N-sulfotransferase-1 (NDST-1) by
homologous gene recombination in mice results in mice
that develop respiratory distress (13). The respiratory distress is characterized by atelectasis due to type II pneumocyte immaturity, and a reduction of total phospholipids
and disaturated phosphatidylcholine content. Respiratory
distress is also found in mice lacking tumor necrosis factor
(TNF)-
-converting enzyme, which is responsible for the
proteolytic shedding of membrane-bound cytokines and
growth factor precursors into soluble intercellular ligands
(14), and in mice missing the Hoxa-5 gene, which affects the
pulmonary epithelial expression of Nkx2.1 (TTF-1), Foxa2
(HNF-3
), and N-myc (15). Mice lacking the
-subunit of
EnaC display respiratory distress because of improper lung
liquid clearance (16). Other transgenes showing respiratory distress include mice lacking the glucocorticoid receptor (17) or cytochrome P450 1A2 (18). Hopefully, further identification of genetic markers for IRDS will lead to the
development of treatment strategies for genetic lung disorders of infancy and assist in more accurate counseling of
families whose infants are at genetic risk for development
of respiratory distress.
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Cytokine Networks in IRDS and CLD |
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Current evidence unequivocally shows that lung inflammation is involved in the pathogenesis of IRDS and CLD,
and identifying the cytokines which are associated with
IRDS and CLD inflammation has been the focus of numerous studies. Together, these studies have demonstrated
that infants with CLD have significantly higher soluble interleukin (IL)-2 receptor (a marker of lymphocyte activation) levels in their plasma than either RDS or control infants (19) and sometimes have increased bronchoalveolar
lavage (BAL) or plasma levels of proinflammatory cytokines
such as IL-1, IL-6, IL-8, and TNF-
(20, 21). Interestingly,
preterm newborns lack the ability to express anti-inflammatory cytokines such as IL-10, which may predispose premature infants to chronic lung inflammation (22).
Although numerous cytokines have been identified to
associate with IRDS and CLD, the underlying pathogenic
properties of these cytokines are only partially understood. Cytokines, whether they are called interleukins, colony-stimulating factors, interferons, or peptide growth factors, tend to act in networks or cascades, and within these
networks a cytokine can be multifunctional, can demonstrate redundancy, synergistic activity, and often can antagonize other cytokine functions (23). Understanding the
components of a cytokine network within a particular tissue and how these cytokines interact must be delineated if
we are to understand how cytokines mediate the pathogenesis of IRDS and CLD. In this issue, Price and coworkers (24) show that different cytokines vary in their ability
to regulate the expression of binding proteins for insulin-like growth factors at both the level of transcription and
degradation. In particular, IL-1
and TNF-
, which are associated with the pathogenesis of IRDS and CLD, can increase the levels of insulin-like growth factor (IGF)BP-3
and IGFBP-4 in a dose-dependent manner. There is ample
evidence to suggest that the IGF system has a role in lung
development (25) and that the presence of the IGF-binding proteins can determine the response of a cell to IGFs
(26). Transcripts for IGFBP-2, IGFBP-3, IGFBP-4, and IGFBP-5 have been detected in the developing lung (26),
and although their functions are unknown, the temporal
and spatial gene expression patterns of IGFBPs (27, 28) suggest distinct roles for these proteins in controlling IGF action
during lung development. With regard to IRDS and CLD,
studies have found changes in IGFBP expression in a variety
of lung injury models. Hyperoxia exposure of A549 cells induces growth arrest and increases IGFBP-2 and IGFBP-3
expression (29). These increases in IGFBPs are likely controlled via nuclear factor (NF)-
B (30). Clinically it has been
found that children with interstitial lung disease have increased amounts of IGFBP-2 in their BAL (31). Together,
these studies demonstrate that the IGF-binding proteins
could be important mediators in the cytokine network of
the lung, and suggest that these proteins may play an important role in the injury-repair process, which is often impaired in premature infants at risk of IRDS and CLD.
Aside from delineating the components of the cytokine
networks in IRDS and CLD, it is vital that we also isolate
the upstream and downstream regulators, which initiate
and amplify the cytokine networks within the premature
lung (see Figure 1). An understanding of the expression of
genes, in particular those genes that regulate the expression of cytokines, is critical in isolating key components involved in the evolution of CLD. NF-
B represents one
such upstream mediator, as it enhances the expression of
many cytokine genes involved in inflammation (i.e., TNF-
,
IL-6, IL-8, and ICAM-1) (32). Other potential candidate
mediators include activator proteins (AP) 1 and 2, the glucocorticoid receptor, cAMP response element binding proteins (CREB) CCAAT/enhancer binding proteins (c/EBP),
Octamer factors, and Ets factors (33). Once the cytokine genes have been transcribed and translated, they can bind
to their receptors, which can activate numerous signal
transduction pathways. Pathways activated by cytokine/
receptor binding include the JAK/STAT pathway, the
Ras-Raf-MAP kinase pathway, as well as the PI3-kinase pathway (34). The ability to activate multiple and overlapping signaling pathways explains why cytokines can be
multifunctional and why they often show redundancy in
function with other cytokines. If we are truly to understand the cytokine network involved in the pathogenesis
of IRDS and CLD, cell culture and animal models must
mimic the environment of the premature lung and be sophisticated enough to deal with the multiple signals that
can induce the expression of cytokines and multiple signaling pathways cytokines can use to exert their biologic
function. Up to now, studies investigating cytokines in
IRDS and CLD have largely been descriptive, but recent advances in cell culture and genetics have provided researchers the tools to systematically elucidate the underlying
mechanisms of the cytokine networks in IRDS and CLD.
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Future Directions |
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Although some studies can be performed in cultured cells,
tissues, and organs, findings from in vitro models must ultimately be tested on intact animals. Thus, animals are the
best model system to understand the mechanisms of IRDS
and CLD. The appropriateness of a specific animal model,
however, is dependent on several factors. Specifically, how
well does species, age, lung development, and response to injury reflect what occurs in humans? Can you measure the
desired outcomes in your animal model? Does the agent you are studying have the same biologic effects, pharmacology,
and toxicology in the animal model as in humans? Presently,
the best model to study IRDS and CLD is the premature baboon model. Coalson and coworkers (38) have demonstrated
that extremely premature baboons, despite appropriate oxygenation and ventilatory strategies, exhibit alveolar hypoplasia, saccular wall fibrosis, diminished capillary vasculature,
and significant elevations in TNF-
, IL-6, and IL-8 levels in
tracheal aspirate fluids. This model mimics the human condition, but is problematic due to the high costs as well as the
long duration of experiments and the fact that most primates
are threatened species. Rodents, specifically the transgenic
mouse, have become an increasingly popular alternative model for studying human diseases. Rodents are born with a
saccular lung that is comparable to the human lung at 24-26
wk of gestation (39), and therefore are a promising experimental model to study IRDS and CLD in extremely low
birth weight infants (2). Transgenic mice that overexpress
the proinflammatory cytokine TNF-
display reduced alveolarization (40) and could represent a model in which clinical
treatment for CLD could be tested.
With sufficiently complex models, we can dissect the interactions between individual genes within cytokine networks and determine the effect of interventions and environmental factors. Specifically, we can determine how factors such as oxygen or mechanical ventilation influence the evolution or pathogenesis of IRDS and CLD. We can determine when particular cytokines are most abundant and determine the upstream regulators of these genes. Clearly, testing each gene within a cytokine network is an extremely arduous and potential time-wasting task. Thankfully, new technologies such as gene arrays have been developed. Gene arraying is the ultimate in multitasking because it allows the monitoring of gene expression of tens of thousands of genes in parallel, thereby gaining insight into complex disease-related pathways and interactions. This can be extremely useful in the discovery phase of a research project, which can lead to hypothesis generation and spawn novel approaches to complex heterogeneous diseases. Recently, several papers have reported using gene arrays to understand the gene environment in several models of lung injury. Specifically, the temporal gene expression patterns have been assessed in models of NiSO4-induced acute lung injury (41) and bleomycin-induced pulmonary fibrosis (42). Gene arrays have also been used to study the smoke and hydrogen peroxide effects on gene expression of bronchial epithelial cells (43) and, clinically, gene arrays have defined gene patterns, which differentiate normal lungs from those of patients with sporadic and familial primary pulmonary hypertensions (44). Evidently, gene array analysis may be a useful technology in understanding the pathobiology of distinct clinical phenotypes of IRDS and CLD.
Even though gene arrays are extremely powerful tools,
they do not provide an in-depth or global picture of the
spatial and temporal expression pattern of proteins and do
not reveal the extent to which proteins are post-translationally modified. Ultimately, proteins mediate the responses in IRDS and CLD, and no change in gene expression does not necessarily mean that the product of that
gene is not involved in the disease process. A prime example of this is NF-
B. NF-
B potentially has the ability to
regulate numerous genes involved in the inflammatory response associated with IRDS and CLD. Normally NF-
B
is present in its inactive form in the cytoplasm by its association with a protein called inhibitory-kB (I-kB). Through
various activation signals, I-kB becomes phosphorylated and degraded, which then allows NF-
B to translocate to
the nucleus, where it binds specific sequences in the promoter regions of inflammatory genes (32). Because the actions of NF-
B are entirely post-translational, the use of
microarrays will not help in elucidating where this inflammatory mechanism fits into the pathogenesis of IRDS or
CLD. Therefore, a means to screen a wide variety of proteins needs to be employed to truly understand the complexities of IRDS and CLD. Proteome analysis is most commonly accomplished by the combination of two-dimensional
gel electrophoresis and mass spectrometry. This approach can
support expression profiling of several thousand proteins in
multiple samples, but is time-consuming, labor-intensive, and
requires significant technical expertise. This has prompted the development of several new strategies. One such strategy is the development of protein profiling arrays in which
recognition molecules would be capable of binding individual proteins moieties with appropriate affinity and specificity and can be detected quantitatively. Within the lung
field, proteomics have been used to study (i) the protein
components involved in peribronchial fibrosis involved in
asthma (45); (ii) differential protein expression in the nasal lavage of nonsmokers and smokers (46); and (iii) the
effect of endothelin-1 stimulation on lung fibroblast cells
(47). Perhaps the greatest benefit in utilizing proteomics in
the study of IRDS and CLD is that one can use biologic
samples that are not suitable for mRNA analysis, such as
the BAL. Potentially, proteome analysis of BAL fluid of
patients with IRDS and patients with CLD patients may
reveal new lung disease markers, which may dictate new
treatment strategies.
In the next decade, integrating genomic and proteomic approaches, as outlined in Figure 2, will unquestionably extend our ability to predict, diagnose, and treat infants at risk of developing IRDS and/or CLD. Hopefully this will dramatically reduce the high levels of morbidity and mortality and reduce the costs of treating these patients. Currently, survivors of IRDS with asthma and bronchopulmonary dysplasia consume 20 times more annualized dollars than unaffected children and 5.9% of all dollars spent on children from 0 to 18 yr of age (48).
|
| |
Footnotes |
|---|
B, NF-
B; surfactant protein, SP; tumor necrosis factor, TNF.
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References |
|---|
1.
Guyer, B., and
et al.
1998.
Annual summary of vital statistics-1997.
Pediatrics
102:
1333-1349
2. Stevenson, D. K., L. L. Wright, J. A. Lemons, W. Oh, S. B. Korones, L. A. Papile, C. R. Bauer, B. J. Stoll, J. E. Tyson, S. Shankaran, A. A. Fanaroff, E. F. Donovan, R. A. Ehrenkranz, and J. Verter. 1998. Very low birth weight outcomes of the National Institute of Child Health and Human Development Neonatal Research Network, January 1993 through December 1994. Am. J. Obstet. Gynecol. 179(6, Pt. 1):1632-1639.
3. Jobe, A. H., and M. Ikegami. 1998. Mechanisms initiating lung injury in the preterm. Early Hum. Dev. 53: 81-94 [Medline].
4. Northway, W. H. Jr., R. C. Rosan, and D. Y. Porter. 1967. Pulmonary disease following respirator therapy of hyaline-membrane disease: bronchopulmonary dysplasia. N. Engl. J. Med. 276: 357-368 .
5. Coalson, J. J., V. Winter, and R. A. deLemos. 1995. Decreased alveolarization in baboon survivors with bronchopulmonary dysplasia. Am. J. Respir. Crit. Care Med. 152: 640-646 [Abstract].
6. Cole, F. S., A. Hamvas, and L. M. Nogee. 2001. Genetic disorders of neonatal respiratory function. Pediatr. Res. 50: 157-162 [Medline].
7.
Korfhagen, T. R.,
M. D. Bruno,
G. F. Ross,
K. M. Huelsman,
M. Ikegami,
A. H. Jobe,
S. E. Wert,
B. R. Stripp,
R. E. Morris,
S. W. Glasser,
C. J. Bachurski,
H. S. Iwamoto, and
J. A. Whitsett.
1996.
Altered surfactant function and structure in SP-A gene targeted mice.
Proc. Natl. Acad. Sci. USA
93:
9594-9599
8. Ikegami, M., T. R. Korfhagen, J. A. Whitsett, M. D. Bruno, S. E. Wert, K. Wada, and A. H. Jobe. 1998. Characteristics of surfactant from SP-A-deficient mice. Am. J. Physiol. 275(2, Pt. 1):L247-L254.
9. Ramet, M., R. Haataja, R. Marttila, J. Floros, and M. Hallman. 2000. Association between the surfactant protein A (SP-A) gene locus and respiratory-distress syndrome in the Finnish population. Am. J. Hum. Genet. 66: 1569-1579 [Medline].
10. Nogee, L. M., G. Garnier, H. C. Dietz, L. Singer, A. M. Murphy, D.E. deMello, and H. R. Colten. 1994. A mutation in the surfactant protein B gene responsible for fatal neonatal respiratory disease in multiple kindreds. J. Clin. Invest. 93: 1860-1863 .
11. Hamvas, A.. 1997. Surfactant protein B deficiency: insights into inherited disorders of lung cell metabolism. Curr. Probl. Pediatr. 27: 325-345 [Medline].
12.
Clark, J. C.,
S. E. Wert,
C. J. Bachurski,
M. T. Stahlman,
B. R. Stripp,
T. E. Weaver, and
J. A. Whitsett.
1995.
Targeted disruption of the surfactant
protein B gene disrupts surfactant homeostasis, causing respiratory failure
in newborn mice.
Proc. Natl. Acad. Sci. USA
92:
7794-7798
13. Fan, G., L. Xiao, L. Cheng, X. Wang, B. Sun, and G. Hu. 2000. Targeted disruption of NDST-1 gene leads to pulmonary hypoplasia and neonatal respiratory distress in mice. FEBS Lett. 467: 7-11 [Medline].
14. Zhao, J., H. Chen, J. J. Peschon, W. Shi, Y. Zhang, S. J. Frank, and D. Warburton. 2001. Pulmonary hypoplasia in mice lacking tumor necrosis factor-alpha converting enzyme indicates an indispensable role for cell surface protein shedding during embryonic lung branching morphogenesis. Dev Biol 232: 204-218 [Medline].
15. Aubin, J., M. Lemieux, M. Tremblay, J. Berard, and L. Jeannotte. 1997. Early postnatal lethality in Hoxa-5 mutant mice is attributable to respiratory tract defects. Dev Biol 192: 432-445 [Medline].
16. Hummler, E., P. Barker, J. Gatzy, F. Beerman, C. Verdumo, A. Schmidt, R. Boucher, and B. C. Rossier. 1996. Early death due to defective neonatal lung liquid clearance in alpha- ENaC-deficient mice. Nat. Genet. 12: 325-328 [Medline].
17.
Cole, T. J.,
J. A. Blendy,
A. P. Monaghan,
K. Krieglstein,
W. Schmid,
A. Aguzzi,
G. Fantuzzi,
E. Hummler,
K. Unsicker, and
G. Schutz.
1995.
Targeted disruption of the glucocorticoid receptor gene blocks adrenergic
chromaffin cell development and severely retards lung maturation.
Genes
Dev.
9:
1608-1621
18.
Pineau, T.,
P. Fernardez-Salguero,
S. S. Lee,
T. McPhail,
J. M. Ward, and
F. J. Gonzalez.
1995.
Neonatal lethality associated with respiratory distress in mice
lacking cytochrome P450 1A2.
Proc. Natl. Acad. Sci. USA
92:
5134-5138
19. Stefano, J. L., M. L. Spear, S. A. Pearlman, P. Fawcett, and R. Proujansky. 1992. Soluble interleukin-2 receptor levels in infants with bronchopulmonary dysplasia. Pediatr. Pulmonol. 14: 58-62 [Medline].
20. Bolt, R. J., M. M. van Weissenbruch, H. N. Lafeber, and H. A. Delemarre-van de Waal. 2001. Glucocorticoids and lung development in the fetus and preterm infant. Pediatr. Pulmonol. 32: 76-91 [Medline].
21. De Dooy, J. J., L. M. Mahieu, and H. Van Bever. 2001. The role of inflammation in the development of chronic lung disease in neonates. Eur. J. Pediatr. 160: 457-463 [Medline].
22. Jones, C. A., R. G. Cayabyab, K. Y. Kwong, C. Stotts, B. Wong, H. Hamdan, P. Minoo, and R. A. de Lemos. 1996. Undetectable interleukin (IL)- 10 and persistent IL-8 expression early in hyaline membrane disease: a possible developmental basis for the predisposition to chronic lung inflammation in preterm newborns. Pediatr. Res. 39: 966-975 [Medline].
23. Sporn, M. B.. 1997. The importance of context in cytokine action. Kidney Int. 51: 1352-1354 [Medline].
24.
Price, W. A.,
B. M. Moats-Staats, and
A. D. Stiles.
2002.
Pro-and anti-inflammatory cytokines regulate insulin-like growth factor binding protein production by fetal rat lung fibroblasts.
Am. J. Respir. Cell Mol. Biol.
26:
283-289
25. Stiles, A. D., and A. J. D'Ercole. 1990. The insulin-like growth factors and the lung. Am. J. Respir. Cell Mol. Biol. 3: 93-100 .
26. Jones, J. I., and D. R. Clemmons. 1995. Insulin-like growth factors and their binding proteins: biological actions. Endocr. Rev. 16: 3-34 [Medline].
27. Moats-Staats, B. M., and et al. 1995. Regulation of the insulin-like growth factor system during normal rat lung development. Am. J. Respir. Cell Mol. Biol. 12: 56-64 [Abstract].
28. Retsch-Bogart, G. Z., B. M. Moats-Staats, K. Howard, A. J. D'Ercole, and A. D. Stiles. 1996. Cellular localization of messenger RNAs for insulin-like growth factors (IGFs), their receptors and binding proteins during fetal rat lung development. Am. J. Respir. Cell Mol. Biol. 14: 61-69 [Abstract].
29. Besnard, V., and et al. 2001. Distinct patterns of insulin-like growth factor binding protein (IGFBP)- 2 and IGFBP-3 expression in oxidant exposed lung epithelial cells. Biochim. Biophys. Acta 1538: 47-58 [Medline].
30. Cazals, V., E. Nebeyrat, S. Corroyer, Y. de Keyzer, and A. Clement. 1999. Role for NF-kappa B in mediating the effects of hyperoxia on IGF- binding protein 2 promoter activity in lung alveolar epithelial cells. Biochim. Biophys. Acta 1448: 349-362 [Medline].
31. Chadelat, K., M. Boule, S. Corroyer, B. Fauroux, B. Delaisi, G. Tournier, and A. Clement. 1998. Expression of insulin-like growth factors and their binding proteins by bronchoalveolar cells from children with and without interstitial lung disease. Eur. Respir. J. 11: 1329-1336 [Abstract].
32.
Fan, J.,
R. D. Ye, and
A. B. Malik.
2001.
Transcriptional mechanisms of acute
lung injury.
Am. J. Physiol. Lung Cell. Mol. Physiol.
281:
L1037-L1050
33. Serfling, A. A. A., and S. Klein-Hessling. 1999. Regulation of lymphokine gene expression. In The Cytokine Network and Immune Functions. T. J., editor. Oxford University Press, New York. 196-199.
34. Taniguchi, T., M. S. Lamphier, and N. Tanaka. 1997. IRF-1: the transcription factor linking the interferon response and oncogenesis. Biochim. Biophys. Acta 1333: M9-M17 [Medline].
35. Ihle, J. N.. 1995. Cytokine receptor signalling. Nature 377: 591-594 [Medline].
36. Hibi, M., K. Nakajima, and T. Hirano. 1996. IL-6 cytokine family and signal transduction: a model of the cytokine system. J. Mol. Med. 74: 1-12 [Medline].
37. Taga, T., and T. Kishimoto. 1995. Signaling mechanisms through cytokine receptors that share signal transducing receptor components. Curr. Opin. Immunol. 7: 17-23 [Medline].
38.
Coalson, J. J.,
V. T. Winter,
T. Siler-Khodr, and
B. A. Yoder.
1999.
Neonatal chronic lung disease in extremely immature baboons.
Am. J. Respir.
Crit. Care Med.
160:
1333-1346
39. Massaro, G. D., and D. Massaro. 1996. Formation of pulmonary alveoli and gas-exchange surface area: quantitation and regulation. Annu. Rev. Physiol. 58: 73-92 [Medline].
40. Miyazaki, Y., K. Araki, C. Vesin, I. Garcia, Y. Kapanci, J. A. Whitsett, P. F. Piguet, and P. Vassalli. 1995. Expression of a tumor necrosis factor-alpha transgene in murine lung causes lymphocytic and fibrosing alveolitis. A mouse model of progressive pulmonary fibrosis. J. Clin. Invest. 96: 250-259 .
41. Leikauf, G. D., S. A. McDowell, C. J. Bachurski, B. J. Aronow, K. Gammon, S. C. Wesselkamper, J. S. Wiest, J. E. Leikauf, T. R. Korfhagen, and D. R. Prows. 2001. Functional genomics of oxidant-induced lung injury. Adv. Exp. Med. Biol. 500: 479-487 [Medline].
42. Katsuma, S., K. Nishi, K. Tanigawara, H. Ikawa, S. Shiojima, K. Takagaki, Y. Kaminishi, Y. Suzuki, A. Hirasawa, T. Ohgi, J. Yano, Y. Murakami, and G. Tsujimoto. 2001. Molecular monitoring of bleomycin-induced pulmonary fibrosis by cDNA microarray-based gene expression profiling. Biochem. Biophys. Res. Commun. 288: 747-751 [Medline].
43. Yoneda, K., K. Peck, M. M. Chang, K. Chmiel, Y. P. Shen, J. Chen, P. C. Yang, Y. Chen, and R. Wu. 2001. Development of high-density DNA microarray membrane for profiling smoke- and hydrogen peroxide-induced genes in a human bronchial epithelial cell line. Am. J. Respir. Crit. Care Med. 164(10, Pt. 2):S85-S89.
44.
Geraci, M. W.,
M. Moore,
T. Gesell,
M. E. Yeager,
L. Alger,
H. Golphon,
B. Gao,
J. E. Loyd,
R. M. Tuder, and
N. F. Voelkel.
2001.
Gene expression
patterns in the lungs of patients with primary pulmonary hypertension: a
gene microarray analysis.
Circ. Res.
88:
555-562
45. Westergren-Thorsson, G., J. Malmstrom, and G. Marko-Varga. 2001. Proteomics-the protein expression technology to study connective tissue biology. J. Pharm. Biomed. Anal. 24: 815-824 [Medline].
46. Ghafouri, B., B. Stahlbom, C. Tagesson, and M. Lindahl. 2002. Newly identified proteins in human nasal lavage fluid from non-smokers and smokers using two-dimensional gel electrophoresis and peptide mass fingerprinting. Proteomics 2: 112-120 . [Medline]
47. Predic, J., V. Soskic, D. Bradley, and J. Godovac-Zimmerman. 2002. Monitoring of gene expression by functional proteomics: response of human lung fibroblast cells to stimulation by endothelin-1. Biochemistry 41: 1070-1078 [Medline].
48. Ireys, H. T., G. F. Anderson, T. J. Shaffer, and J. M. Neff. 1997. Expenditures for care of children with chronic illnesses enrolled in the Washington State Medicaid program, fiscal year 1993. Pediatrics. 100(2, Pt. 1):197-204.
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