Krüppel-like zinc finger proteins in end-stage COPD lungs with and without severe alpha1-antitrypsin deficiency
- A-Rembert Koczulla1, 2Email author,
- Danny Jonigk†1,
- Thomas Wolf3, 4,
- Christian Herr5,
- Sarah Noeske2,
- Walter Klepetko6,
- Claus Vogelmeier1, 2,
- Nils von Neuhoff3,
- Johanna Rische1,
- Sabine Wrenger7,
- Heiko Golpon7,
- Robert Voswinckel8,
- Maurizio Luisetti9,
- Ilaria Ferrarotti9,
- Tobias Welte7 and
- Sabina Janciauskiene7Email author
© Koczulla et al.; licensee BioMed Central Ltd. 2012
Received: 24 November 2011
Accepted: 8 May 2012
Published: 23 May 2012
Chronic obstructive pulmonary disease (COPD) is influenced by environmental and genetic factors. An important fraction of COPD cases harbor a major genetic determinant, inherited ZZ (Glu342Lys) α1-antitrypsin deficiency (AATD). A study was undertaken to investigate gene expression patterns in end-stage COPD lungs from patients with and without AATD.
Explanted lungs of end-stage ZZ AATD-related (treated and non-treated with AAT augmentation therapy) and “normal” MM COPD, and liver biopsies from patients suffering from liver cirrhosis with and without ZZ AATD were used for gene expression analysis by Affymetrix microarrays or RT-PCR.
A total of 162 genes were found to be differentially expressed (p-value ≤ 0.05 and |FC| ≥ 2) between MM and ZZ COPD patients. Of those, 134 gene sets were up-regulated and 28 were down-regulated in ZZ relative to MM lung tissue. A subgroup of genes, zinc finger protein 165, snail homolog 1 (Drosophila) (SNAI1), and Krüppel-like transcription factors (KLFs) 4 (gut), 9 and 10, perfectly segregated ZZ and MM COPD patients. The higher expression of KLF 9 and KLF10 has been verified in the replication cohort with AATD-related end-stage lung emphysema and liver cirrhosis. Furthermore, higher expression of KLF9, SNAI1 and DEFA1 was found in ZZ COPD lungs without augmentation therapy relative to MM COPD or ZZ COPD with augmentation therapy.
These results reveal the involvement of transcriptional regulators of the zinc-finger family in COPD pathogenesis and provide deeper insight into the pathophysiological mechanisms of COPD with and without AATD.
Chronic obstructive pulmonary disease (COPD) includes a broad spectrum of respiratory symptoms and histopathological changes with varying degrees of severity, and it is typically diagnosed late in the course of disease when the patient presents with significant impairment [1, 2]. Different inflammatory cells (macrophages, neutrophils, CD8+ T lymphocytes) and several interrelated processes, such as chronic inflammation per se, proteinase/anti-proteinase imbalance, oxidative stress, apoptosis and replenishment of structural cells, are thought to contribute to the pathogenesis of COPD . Given this complexity of COPD, the identification of biological markers of disease susceptibility and/or progression is of great importance . DNA microarrays have been proven to be a powerful tool capable of biomarker discovery for various disease entities. Previous studies used this approach to characterize global gene expression patterns from lung tissue of patients with COPD, and to identify genes associated with disease severity. So far, these gene expression patterns have produced differing results likely due to differences in the types of patients enrolled and due to inherent heterogeneity of COPD.
An important fraction of COPD cases harbor a major genetic determinant, inherited ZZ (Glu342Lys) α1-antitrypsin deficiency (AATD). AAT is an acute phase protein, main inhibitor of neutrophil elastase and a modulator of host inflammatory responses . It is well established that the Z variant of AAT forms polymers and is retained in the endoplasmic reticulum (ER) of the hepatocytes  which leads to markedly impede (up to 90%) levels of the circulating AAT protein. The lack of AAT predisposes a person to develop early onset, rapidly progressive COPD where emphysema is a major component  whereas the accumulation of abnormally folded AAT protein increases the risk to develop chronic liver disease. Cirrhosis in ZZ AATD individuals may become clinically apparent at any age, with the peak incidence typically occurring in elderly never-smokers who have survived without developing severe emphysema .
In an attempt to further improve our understanding of the complex molecular basis of AATD-related pathology, we aimed to investigate gene expression patterns in well matched end-stage COPD lungs from patients with and without inherited α1-antitrypsin deficiency (AATD). The identified genes differently expressed were then validated in separate groups of ZZ and MM end-stage COPD lung tissue and biopsies from liver cirrhosis patients using real time PCR. This strategy was used to confirm the reproducibility of our findings in different populations, which increases the probability of results being applicable to the wider population of COPD patients.
Tissues from explanted lungs of end-stage ZZ AATD-related COPD (n = 3) and non-AATD, MM COPD (n = 3) were received from the Biobank in Giessen which is a part of the EU 6th Framework Programme (Contract No: LSHM-CT-2005-018725, PULMOTENSION). This study has been approved by the local Ethics Committee (Marburg Ref. 198/7).
RNA isolation and analysis by Affymetrix
Affymetrix analysis was performed at the University of Munich, Microarray Resource Centre, according to an established and approved protocol. Briefly, RNA was isolated from frozen lung tissues using the NucleoSpin RNA II kit from Macherey Nagel (Dueren, Germany), and quality aspects, such as absorbency ratios, 28 S/18 S ratios, and length of cDNA and cRNA synthesis products were assessed. Microarray hybridization probes were synthesized from 5 μg total RNA according to the manufacturer`s instructions (Affymetrix, Santa Clara, CA, USA). HumanHG-U133A Gene Chip arrays were hybridized and stained according to the protocol provided by Affymetrix. (http://www.mikrobio.med.tu-muenchen.de/category/expression-core-facility/).
The Affymetrix MAS 5.0 Suite 4.0 (MAS 4.0) software was used to calculate expression levels, fold change and to assess the significance of differential expression. A p-value < 0.05 was considered significant. Due to the exploratory nature of the microarray experiments, multiple testing correction was not performed . Based on previous experiences, Affymetrix recommendations and published literature [10–13] transcripts exhibiting over 2-fold change were classed as being differentially expressed between ZZ and MM COPD samples. A further filtering step was introduced by assessing for significance of differential expression. The double filtered list  of differentially expressed genes (|FC| ≥ 2 and p-value ≤ 0.05) was further analysed using the Database for Annotation, Visualization and Integrated Discovery (DAVID) (http://david.abcc.ncifcrf.gov/). Based on the gene expression profiles from a specific functional annotation cluster, the pairwise Euclidean distance between the COPD profiles was calculated. The calculated distances were then visualized using multidimensional scaling (MDS) .
Lung and liver tissue analysis by RT-PCR
N = 3
N = 3
Mean ± SD
A. Transplanted lung tissue used for Affymetrix analysis
57 ± 4.8
62 ± 2.3
Mean pulmonary art. pressure (mmHg)
Cardiac Index ()
3.1 ± 0.3
3.0 ± 0.1
GOT (ref < 35U/L)
32 ± 21.1
28 ± 5.0
GPT (ref <45U/L)
25 ± 16.2
29 ± 8.0
Inhaled steroid therapy
Augmentation therapy with AAT
B. Transplanted lung tissue used for RT-PCR analysis
53.7 ± 2.7
48.3 ± 1.3
Mean pulmonary art. pressure (mmHg)
28 ± 2.8
Cardiac Index ()
GOT (ref < 35U/L)
28.3 ± 3.4
GPT (ref <45U/L)
36.7 ± 10.2
33.3 ± 9.0
Inhaled steroid therapy
Augmentation therapy with AAT
Laser-assisted microdissection and RNA extraction
FFPE 5 μm thick tissue sections were mounted on a poly-L-lysin-coated membrane attached to a special metal frame. After deparaffinization and hemalum staining, the CellCut Plus system (MMI Molecular Machines & Industries AG, Glattbrugg, Switzerland) was used for laser-assisted microdissection of lung compartments: we isolated sections of lung parenchyma that showed characteristic changes of end-stage emphysema using a no-touch technique, essentially as described .
cDNA synthesis and pre-amplification
Complementary DNA of each sample was generated using the High Capacity cDNA Reverse Transcription Kit (Applied Biosystems, Foster City, CA, USA) and following the manufacturer’s protocol. Complementary DNA was pre-amplified in 14 PCR cycles with target gene-specific PCR primers, increasing the sensitivity of the subsequent real-time PCR analysis several thousand-fold (PreAmp Master Mix Kit, Applied Biosystems), as reported [17, 18].
The pre-amplified cDNA from microdissected specimens was evaluated by real-time PCR (TaqMan 7500 Real-Time PCR system, Applied Biosystems, Carlsbad, CA, USA). Quantification was performed in reactions containing pre-amplified cDNA, TaqMan Gene Expression Master Mix and the individual TaqMan Gene Expression Assay (both from Applied Biosystems). Target genes KLF9, KLF10, ZNF165, SNAIL1 and DEFA1 were selected and analysed, following the manufacturer’s protocol. For negative controls, the cDNA was replaced by water . CT values were calculated by normalization to the mean expression of three endogenous controls (POLR2A, β-GUS and GAPDH) and converted into 2-ΔCT values with Excel 8.0 (Microsoft, Redmond, WA, USA) which were then statistically analysed using the Mann–Whitney U test and Prism 5.0. Values ≤ 0.05 were considered as statistically significant. Expression graphics were created using GraphPadPrism, version 5.0 (GraphPad Software, San Diego, CA, USA).
Tissues from explanted lungs of end-stage ZZ AATD-related COPD (n = 3) and non-AATD, MM COPD (n = 3) were used for gene expression analysis by Affymetrix. Detailed information about these patients can be found in Table 1 A. All patients had severe lung function impairment; however, none of the patients was a current smoker at the time of surgery and no one was treated with AAT augmentation therapy. Another cohort of lung specimens was used for laser-assisted microdissection, RNA extraction and RT-PCR analysis. Lung explants from MM COPD (n = 3) and ZZ COPD (n = 3) have been matched to the group of the cases used in Affymetrix analysis (Table 1 B). To avoid the regional variability of gene expression, we sampled lung tissue, several from central and peripheral regions. Liver biopsies were obtained from liver cirrhosis patients: 6 without [5 males and 1 female, mean age 56.8 ± 6.7 (SD)] and 4 with [males, mean age of 56.25 ± 6.9 (SD)] ZZ AATD. Additional RT-PCR analysis of selected genes was performed on surgical lung explants from end-stage ZZ emphysema cases with (n = 11, age 52.5 ± 2.1 (SD) years) and without AAT augmentation therapy (n = 6, age 44.7 ± 5.3 (SD) years).
Genes that distinguish MM and ZZ end-stage COPD
A total of 162 probe sets were found to be differentially expressed (p-value ≤ 0.05 and |FC| ≥2) between MM “normal” and ZZ AATD-related end-stage COPD. Of those, 134 genes were up-regulated in ZZ lung tissue, while 28 were down-regulated (Additional file 1: Table S1). Notably, among the top 5 probe sets with highest expression values in ZZ versus MM lungs, we found defensin alpha1, nuclear receptor subfamily 4, hemoglobin gamma, and pentraxin-related gene. All these genes were previously associated with COPD [19–21].
Gene ontology enrichment and functional group analysis
GO Biological processes enriched in lung tissue of ZZ relative to MM COPD
Gene number (%)
GO:0010033 ~ response to organic substance
GO:0042127 ~ regulation of cell proliferation
GO:0007169 ~ transmembrane receptor protein tyrosine kinase signaling pathway
GO:0009611 ~ response to wounding
GO:0007167 ~ enzyme linked receptor protein signaling pathway
GO:0008285 ~ negative regulation of cell proliferation
GO:0008283 ~ cell proliferation
GO:0050878 ~ regulation of body fluid levels
GO:0050817 ~ coagulation
Clustering of the genes
Separating functional annotation group
Krüppel-like factor 10
zinc finger protein 165
Krüppel-like factor 4 (gut)
snail homolog 1 (Drosophila)
Krüppel-like factor 9
Analysis of candidate genes by RT-PCR
To further explore lung tissue analysis using microarrays, we examined gene expression profiles in well matched end-stage (GOLD IV) COPD cases with ZZ AATD and without, “normal” MM COPD. Primarily, we wanted to find genes differentially expressed between MM and ZZ end-stage COPD and secondly, we sought for probable cluster(s) of genes which are able to stratify COPD cases by the genetic variant of AAT. It is important to point out that most patients with AATD-related emphysema are treated with AAT augmentation therapy. In order to make an appropriate match with “normal” MM COPD, we included non-augmented AATD cases which very much restricted the sample size of our cohort. We therefore deliberately used different cohorts of COPD and liver cirrhosis patients for the RT-PCR, because the replication of gene expression findings in a distinct cohort increases the likelihood of these results being applicable to wider populations of COPD patients.
Nevertheless, our results show that a relatively small number of genes is significantly differently expressed in end-stage ZZ lungs when compared to those from MM. Remarkably, out of 162 gene sets differently expressed between ZZ and MM-COPD lungs, 134 (82.7%) were up-regulated and only 28 (17.3%) were down-regulated in ZZ lungs. It is worth pointing out that among all up-regulated gene sets, the gene encoding α1-defensin (DEFA1) was one of the most highly (13-fold higher) expressed in ZZ compared to MM lung tissue. This finding was confirmed by RT-PCR analysis and is in line with previous studies showing that α-defensin concentrations are increased in individuals with AATD  and that patients with AATD have a milieu where high concentrations of α-defensins and low amounts of AAT potentiate the impact of α-defensins on lung injury [24, 25]. Remarkably, we could further verify in different cohorts that the expression of DEFA1 is higher in lungs from ZZ cases compared to MM COPD specimens. Based on this latter finding, we examined whether ZZ AAT deficiency-related emphysema patients treated with Prolastin® had lower DEFA1 expression in their lungs. Indeed, we found that augmentation therapy lowers DEFA1 expression when compared to untreated matched patients. Thus, our discovery that AAT influences DEFA1 gene expression opens new possibilities to further optimize augmentation therapies.
To our surprise, a set of genes including zinc finger protein 165, snail homolog 1 (Drosophila), and Krüppel-like transcription factors (KLFs) 4 (gut), 9 and 10, perfectly discriminated between patients with end-stage “normal” MM and ZZ AATD–related COPD (Figures 1 and 2). Further conformation in a different cohort of end-stage COPD lungs and in liver cirrhosis tissues showing that SNAI1, KLF9 and KLF10 are higher expressed in ZZ relative to MM AAT subjects, allows us to propose that the increased expression of zinc finger transcription factors is related to AATD. To our knowledge, so far only one study has shown an enhanced expression (2.1-fold) of Krüppel-related zinc finger protein (specifically undefined) in lung tissue from patients with AATD-associated emphysema when compared to normal lung tissue  and it has been shown that KLF4 mRNA is up-regulated more than 10-fold in mice lung tissue after endotoxin stimuli . KLF10 was initially identified as a primary transforming growth factor beta (TGF-β)-inducible early gene in human osteoblasts . KLF10 gene expression in the liver is shown to be regulated by glucose. This argues for a pleiotropic role of KLF10 in cellular biology by integrating antiproliferative, endocrine, metabolic, and circadian signals. As a matter of fact, genomic analysis of the liver in a transgenic mouse model with inducible expression of mutant Z and normal M variant of AAT protein unveiled a number of significantly more highly expressed genes in Z mice as an indicative of a TGF-β effect (among others KLF10) . These data, together with our current findings suggest that induction of KLF10 gene expression might be specific for the ER stress state that is associated with the intracellular accumulation of aggregated Z AAT protein in the ER.
KLFs are critical regulators of many physiological processes and are involved in disorders such as cardiovascular disease, cancer, and inflammatory conditions. While numerous zinc finger proteins are expressed in the lung, only a few have been clearly implicated in lung homeostasis and disease. A recent study by Bhattacharya and co-workers  identified biomarker genes enriched in functions related to DNA binding and regulation of transcription which allow the prediction of disease in an unrelated data set, generated from patients with severe emphysema, with 97% accuracy. Although individual biomarkers in this study have not been identified, it is clearly shown that the selected genes include members of zinc finger–binding domain containing proteins. The patterns of KLF gene expression have not been considered in the pathobiology of AATD-associated COPD and warrants further investigation.
Lungs with end-stage emphysema display decreases in overall global gene expression, with pronounced increase in transcripts encoding pro-inflammatory mediators, immune-response proteins, and proteolytic enzymes. Some of these differentially-expressed genes are specifically linked to ZZ AATD-related emphysema. Results from the current study revealed a subgroup of genes from the zinc-finger family which perfectly segregated ZZ and MM COPD patients. This finding not only shows that these two types of emphysema can be distinguished from each other, but also provides a deeper insight into the pathophysiological mechanisms of lung emphysema with and without AATD.
This study/research project received financial support from the European Commission 6th Framework Programme (Contract No: LSHM-CT-2005-018725, PULMOTENSION), the Swedish Research Council, the “Integriertes Forschungs- und Behandlungszentrum Transplantation” [IFBTx, German Federal Ministry of Education (reference no. 01EO0802) and a Grifols Biotherapeutics research grant. It was supported by the German lung research centre (Deutsches Zentrum für Lungenforschung, DZL), and by SFB578, A18, the SFB/TR22,A19.
This publication reflects only the authors’ views and the European Community and the German Federal Ministry of Education are in no way responsible for any use that may be made of the information contained therein.
- Rabe KF: Guidelines for chronic obstructive pulmonary disease treatment and issues of implementation. Proc Am Thorac Soc. 2006, 3: 641-644. 10.1513/pats.200604-099SS.View ArticlePubMedGoogle Scholar
- Rabe KF, Hurd S, Anzueto A, Barnes PJ, Buist SA, Calverley P, Fukuchi Y, Jenkins C, Rodriguez-Roisin R, van Weel C, Zielinski J: Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease: GOLD executive summary. Am J Respir Crit Care Med. 2007, 176: 532-555. 10.1164/rccm.200703-456SO.View ArticlePubMedGoogle Scholar
- Barnes PJ, Celli BR: Systemic manifestations and comorbidities of COPD. Eur Respir J. 2009, 33: 1165-1185. 10.1183/09031936.00128008.View ArticlePubMedGoogle Scholar
- Chung KF, Adcock IM: Multifaceted mechanisms in COPD: inflammation, immunity, and tissue repair and destruction. Eur Respir J. 2008, 31: 1334-1356. 10.1183/09031936.00018908.View ArticlePubMedGoogle Scholar
- Janciauskiene SM, Bals R, Koczulla R, Vogelmeier C, Köhnlein T, Welte T: The discovery of alpha1-antitrypsin and its role in health and disease. Respir Med. 2011, 105: 1129-1139. 10.1016/j.rmed.2011.02.002.View ArticlePubMedGoogle Scholar
- Janciauskiene S, Eriksson S, Callea F, Mallya M, Zhou A, Seyama K, Hata S, Lomas DA: Differential detection of PAS-positive inclusions formed by the Z, Siiyama, and Mmalton variants of alpha1-antitrypsin. Hepatology. 2004, 40: 1203-1210. 10.1002/hep.20451.View ArticlePubMedGoogle Scholar
- Seersholm N, Kok-Jensen A: Clinical features and prognosis of life time non-smokers with severe alpha 1-antitrypsin deficiency. Thorax. 1998, 53: 265-268. 10.1136/thx.53.4.265.PubMed CentralView ArticlePubMedGoogle Scholar
- Fairbanks KD, Tavill AS: Liver disease in alpha 1-antitrypsin deficiency: a review. Am J Gastroenterol. 2008, 103: 2136-2141. 10.1111/j.1572-0241.2008.01955.x.View ArticlePubMedGoogle Scholar
- Bender R, Lange S: Adjusting for multiple testing–when and how?. J Clin Epidemiol. 2001, 54: 343-349. 10.1016/S0895-4356(00)00314-0.View ArticlePubMedGoogle Scholar
- Grant GR, Manduchi E, Stoeckert CJ: Analysis and management of microarray gene expression data. Curr Protoc Mol Biol. 2007, 77: 19.6.1-19.6.30.Google Scholar
- Grant GM, Fortney A, Gorreta F, Estep M, Del Giacco L, Van Meter A, Christensen A, Appalla L, Naouar C, Jamison C, Al-Timimi A, Donovan J, Cooper J, Garrett C, Chandhoke V: Microarrays in cancer research. Anticancer Res. 2004, 24: 441-448.PubMedGoogle Scholar
- Kubisch CH, Gukovsky I, Lugea A, Pandol SJ, Kuick R, Misek DE, Hanash SM, Logsdon CD: Long-term ethanol consumption alters pancreatic gene expression in rats: a possible connection to pancreatic injury. Pancreas. 2006, 33: 68-76. 10.1097/01.mpa.0000226878.81377.94.View ArticlePubMedGoogle Scholar
- Lang M, Schlechtweg M, Kellermeier S, Brenmoehl J, Falk W, Schölmerich J, Herfarth H, Rogler G, Hausmann M: Gene expression profiles of mucosal fibroblasts from strictured and nonstrictured areas of patients with Crohn’s disease. Inflamm Bowel Dis. 2009, 15: 212-223. 10.1002/ibd.20735.View ArticlePubMedGoogle Scholar
- Noel S, Sharma S, Rath SK: Simultaneous application of t-test and fold change criteria to identify acetaminophen and carbon tetrachloride affected genes in mice liver. Environ Toxicol Pharmacol. 2008, 26: 150-161. 10.1016/j.etap.2008.03.002.View ArticlePubMedGoogle Scholar
- Tseng IC, Chou FP, Su SF, Oberst M, Madayiputhiya N, Lee MS, Wang JK, Sloane DE, Johnson M, Lin CY: Purification from human milk of matriptase complexes with secreted serpins: mechanism for inhibition of matriptase other than HAI-1. Am J Physiol Cell Physiol. 2008, 295: C423-C431. 10.1152/ajpcell.00164.2008.PubMed CentralView ArticlePubMedGoogle Scholar
- Jonigk D, Golpon H, Bockmeyer CL, Maegel L, Hoeper MM, Gottlieb J, Nickel N, Hussein K, Maus U, Lehmann U, Janciauskiene S, Welte T, Haverich A, Rische J, Kreipe H, Laenger F: Plexiform lesions in pulmonary arterial hypertension composition, architecture, and microenvironment. Am J Pathol. 2011, 179: 167-179. 10.1016/j.ajpath.2011.03.040.PubMed CentralView ArticlePubMedGoogle Scholar
- Jonigk D, Theophile K, Hussein K, Bock O, Lehmann U, Bockmeyer CL, Gottlieb J, Fischer S, Simon A, Welte T, Maegel L, Kreipe H, Laenger F: Obliterative airway remodelling in transplanted and non-transplanted lungs. Virchows Arch. 2010, 457: 369-380. 10.1007/s00428-010-0949-x.View ArticlePubMedGoogle Scholar
- Theophile K, Jonigk D, Kreipe H, Bock O: Amplification of mRNA from laser-microdissected single or clustered cells in formalin-fixed and paraffin-embedded tissues for application in quantitative real-time PCR. Diagn Mol Pathol. 2008, 17: 101-106. 10.1097/PDM.0b013e318163f26e.View ArticlePubMedGoogle Scholar
- Chung KF: Cytokines in chronic obstructive pulmonary disease. Eur Respir J Suppl. 2001, 34: 50s-59s.View ArticlePubMedGoogle Scholar
- Mahajan B, Vijayan VK, Agarwal MK, Bansal SK: Serum interleukin-1beta as a marker for differentiation of asthma and chronic obstructive pulmonary disease. Biomarkers. 2008, 13: 713-727. 10.1080/13547500802655367.View ArticlePubMedGoogle Scholar
- Paulissen G, Rocks N, Gueders MM, Crahay C, Quesada-Calvo F, Bekaert S, Hacha J, El Hour M, Foidart JM, Noel A, Cataldo DD: Role of ADAM and ADAMTS metalloproteinases in airway diseases. Respir Res. 2009, 10: 127-10.1186/1465-9921-10-127.PubMed CentralView ArticlePubMedGoogle Scholar
- da Huang W, Sherman BT, Lempicki RA: Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nat Protoc. 2009, 4: 44-57.View ArticlePubMedGoogle Scholar
- Spencer LT, Paone G, Krein PM, Rouhani FN, Rivera-Nieves J, Brantly ML: Role of human neutrophil peptides in lung inflammation associated with alpha1-antitrypsin deficiency. Am J Physiol Lung Cell Mol Physiol. 2004, 286: L514-L520. 10.1152/ajplung.00099.2003.View ArticlePubMedGoogle Scholar
- Panyutich AV, Hiemstra PS, van Wetering S, Ganz T: Human neutrophil defensin and serpins form complexes and inactivate each other. Am J Respir Cell Mol Biol. 1995, 12: 351-357.View ArticlePubMedGoogle Scholar
- Wencker M, Brantly ML: Cytotoxic concentrations of alpha-defensins in the lungs of individuals with alpha 1-antitrypsin deficiency and moderate to severe lung disease. Cytokine. 2005, 32: 1-6. 10.1016/j.cyto.2005.06.003.View ArticlePubMedGoogle Scholar
- Golpon HA, Coldren CD, Zamora MR, Cosgrove GP, Moore MD, Tuder RM, Geraci MW, Voelkel NF: Emphysema lung tissue gene expression profiling. Am J Respir Cell Mol Biol. 2004, 31: 595-600. 10.1165/rcmb.2004-0008OC.View ArticlePubMedGoogle Scholar
- Liu J, Liu Y, Zhang H, Chen G, Wang K, Xiao X: KLF4 promotes the expression, translocation, and releas eof HMGB1 in RAW264.7 macrophages in response to LPS. Shock. 2008, 30: 260-266.PubMedGoogle Scholar
- Hidvegi T, Mirnics K, Hale P, Ewing M, Beckett C, Perlmutter DH: Regulator of G Signaling 16 is a marker for the distinct endoplasmic reticulum stress state associated with aggregated mutant alpha1-antitrypsin Z in the classical form of alpha1-antitrypsin deficiency. J Biol Chem. 2007, 282: 27769-27780. 10.1074/jbc.M704330200.View ArticlePubMedGoogle Scholar
- Bhattacharya S, Srisuma S, Demeo DL, Shapiro SD, Bueno R, Silverman EK, Reilly JJ, Mariani TJ: Molecular biomarkers for quantitative and discrete COPD phenotypes. Am J Respir Cell Mol Biol. 2009, 40: 359-367.PubMed CentralView ArticlePubMedGoogle Scholar
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