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EDITORIAL FOCUS
Departments of 1Surgery and 2Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
Submitted 15 January 2007 ; accepted in final form 23 February 2007
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ABSTRACT |
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 TOP ABSTRACT MATERIALS AND METHODSRESULTSDISCUSSIONGRANTSREFERENCES |
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50%-fold change compared with sham would represent significant changes in gene expression. Analysis identified 266 and 455 ischemia-specific, AKI-associated lung genes with increased expression and 615 and 204 with decreased expression at 6 and 36 h, respectively, compared with sham controls. Real-time PCR analysis validated select array changes in lung serum amyloid A3 and endothelin-1. GO analysis revealed significant activation (Z > 1.95) of several proinflammatory and proapoptotic biological processes. Ischemic AKI induces functional and transcriptional changes in the lung distinct from those induced by uremia alone. Further investigation using this lung molecular signature induced by kidney IRI will provide mechanistic insights and new therapies for critically ill patients with AKI. ischemia-reperfusion; lung injury; microarray
Acute lung injury (ALI) is a significant cause of respiratory failure in the intensive care unit and carries a substantial mortality of 30–40% (8). When combined with AKI, mortality approaches 80% (26). The clinical presentation of AKI-associated ALI, similar to that of other causes of ALI, is characterized by increased pulmonary edema, a defining feature of the syndrome. It is also characterized by acute inflammation of the air spaces and parenchyma with accumulation of inflammatory cells, and loss of barrier function in both the alveolar epithelium and capillary endothelium. Previous studies from our laboratory and others have identified that kidney ischemia-reperfusion injury (IRI) in rodents causes increased pulmonary vascular permeability, lung edema, alveolar hemorrhage, increased leukocyte trafficking, and abnormalities of salt and water transporters, all of which are hallmarks of ALI (10, 19, 20, 28, 30). However, the mechanisms of lung dysfunction in the setting of ischemic AKI remain unclear and are confounded by the fact that uremia alone could potentially affect lung function, as well as induce volume overload.
We hypothesized that ischemic AKI, with effects of ischemia-reperfusion plus accumulation of uremic toxins, would lead to a unique genomic response in the lung. Furthermore, we hypothesized that these lung changes would be distinguishable from those induced by uremia alone. We used an established model of ischemic AKI in the mouse and also used a model of bilateral nephrectomy (BNx) to simulate acute uremia without IRI. We found lung functional and structural changes following IRI, but not BNx, compared with sham controls. We then conducted global gene expression profiling of lung tissues in the different groups. Utilizing a candidate gene approach, we identified ischemia-specific changes in the lung transcriptome which are distinguishable from those produced by uremia (i.e., BNx) and which involve several proinflammatory and proapoptotic pathways. Select genes with major expression changes were validated by real-time PCR. Further detailed bioinformatic analysis highlighted several key target biological processes, including early activation of immune and inflammation genes and later activation of ubiquitin- and apoptosis-related genes. This study identifies potential novel diagnostic and therapeutic targets and provides a platform for further detailed investigation into the molecular mechanisms of ischemic AKI-associated distant organ dysfunction.
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MATERIALS AND METHODS |
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TOPABSTRACTMATERIALS AND METHODSRESULTSDISCUSSIONGRANTSREFERENCES |
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25–30 g, were obtained from Jackson Laboratory (Bar Harbor, ME) and housed under pathogen-free conditions according to NIH guidelines at least 5 days before operative procedures. All procedures were performed using strict sterile techniques under general anesthesia with pentobarbital sodium (50 mg/kg ip). Assessment of adequate anesthesia was obtained by paw and tail pinching. Surgical procedures. Animals were placed on a heating blanket and underwent a midline laparotomy with isolation of bilateral renal pedicles. For mice assigned to experimental IRI, a nontraumatic microvascular clamp was applied across both renal pedicles for 60 min. We used 60 min of ischemia after preliminary experiments demonstrated that 30 min of kidney ischemia did not lead to significant changes in lung genomic signature compared with sham surgery alone. After the allotted ischemia time, the clamps were gently removed, the animals were administered 1 ml of sterile saline intraperitoneally, and the incision was closed in two layers with 4-0 silk suture. The animals were then allowed to recover with free access to food and water. Sham animals underwent the identical procedure without placement of the vascular clamps. The mice assigned to BNx underwent similar procedures except that both renal pedicles were ligated with 5-0 silk suture and the kidneys removed. At 6, 24, or 36 h following the experimental procedure, the mice were euthanized by exsanguination under pentobarbital sodium anesthesia and tissues were collected for analysis.
Renal function.
Blood samples (0.5 ml) were obtained from each animal at death and centrifuged for 10 min at 8,000 rpm to obtain serum. Serum creatinine (SCr) levels were measured as a marker of renal function, using a 557A Creatinine Kit (Sigma Diagnostics, St. Louis, MO) and analyzed on a Cobas Mira S Plus automated analyzer (Roche Diagnostics, Indianapolis, IN).
Bronchoalveolar lavage.
Bronchoalveolar lavage (BAL) fluid analysis was performed as a surrogate measurement of pulmonary vascular permeability as described by Walters et al. (35). BAL fluid was obtained by slow delivery of 0.75 ml of warm (37°C) PBS via a tracheotomy. The fluid was withdrawn by gentle suction, the process was repeated twice, and solutions were combined and stored on ice. Recovered BAL fluid was centrifuged at 1,500 rpm at 4°C for 10 min. BCA total protein assay (Bio-Rad, Hercules, CA) was performed on BAL supernatants according to the manufacturer's protocol. Optical density readings of samples were converted to micrograms per milliliter using values obtained from standard curves generated with serial dilutions of BSA.
Lung histology. For assessment of lung morphological injury, hematoxylin and eosin (H&E) staining was performed as previously described (29). After completion of the allotted treatment period, the right main bronchus was isolated and cross-clamped. Via a tracheotomy, the left lung was filled with 0.5% low-melting agarose in 10% formalin at a constant pressure of 25 cmH2O, allowing for homogenous expansion of lung parenchyma. The inflated lungs were then fixed in 10% formalin for 48 h and embedded in paraffin blocks. Sections of the paraffin-embedded tissues (5 µm) were then obtained and stained with H&E (Fisher Scientific, Pittsburgh, PA).
Statistical analysis. For measurements of SCr and BAL protein, data are expressed as means ± SE and were analyzed with one-way ANOVA. Individual group means were then compared with a Tukey multiple comparison test. P values <0.05 were considered significant.
Power prediction analysis for minimum array requirements.
Sample size determination for class comparisons in microarray experiments was employed as previously described (11). This sample size prediction concept is based on variability of the population, the desired detectable differences in gene expression, the power to detect expression differences, and an acceptable error rate. We generated three gene expression profiles (n = 3) for each experimental condition and used 60-min ischemia/6-h recovery period arrays for the array signal variability calculation. The identified median of SDs of log2 expression values of all probe sets (
= 0.088) was submitted to the microarray sample size-identifying formula proposed by Wei et al. (36), accepting a 1% false discovery rate (significance level 
= 0.01) and imposing 95% of detecting power (1-
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The power.t.test function of the R2.3.1 program (www.r-project.org) was implemented: [power.t.test (n = 3, 
= NULL, SD = 0.088, significance level = 0.01, power = 0.95, type = "2.sample," alternative = "2.sided")]. These calculations identified fold-change log2()µ = 0.54, which corresponds to a numerical 1.454-fold change. Therefore, we concluded that filtering gene expression data using 1.5-fold change and 1% false discovery rate cutoffs would identify significant transcriptional changes in the setting of three animals per experimental condition.
Transcript profiling with Affymetrix oligonucleotide arrays.
Total RNA (7–10 µg) was isolated and reverse transcribed (primers oligo-dT coupled to a T7 RNA polymerase binding site). Double-stranded and biotinylated cRNA was synthesized using T7 polymerase. Unincorporated nucleotides were removed, and the cRNA was quantitated. Typically, the yield of cRNA was between 25 and 80 µg. This cRNA is randomly sheared to 50 nucleotides and hybridized (16 h) to the Affymetrix GeneChips.
The quality of each step was monitored on an Agilent 2100 Bioanalyzer. External standards were included in each hybridization to control for hybridization efficiency, to test for sensitivity, and to assist in the comparison between data sets. These external standards are cRNA transcribed from bacterial genes (bio b, bio c, bio d, cre, thr, and phe). The first hybridization was against a test chip, containing probes against human, mouse, and yeast rnRNAs, and was designed to determine the quality of the cRNA. The hybridized biotinylated cRNA was detected with phycoerythrin-streptavidin and was quantitated by scanning (Agilent GeneArray Scanner). Following positive analysis of the test chip, the same hybridization mixture was added to the expression chip and processed as described. We employed the Affymetrix chip for mouse studies, MG-430A 2.0 (MOE430A), which provides coverage of the transcribed mouse genome on a single array and is composed of 22,626 probe sets representing transcripts and variants from over 14,500 well-characterized mouse genes. During the initial stages of the study, very strict criteria were established for acceptance of RNA and acceptance of data. Total RNA and IVT-generated target RNA was stockpiled at –80°C.
Sample quality control. The stringent quality control of the purity and integrity of the RNA was assessed using standard criteria for RNA quality. The starting material was analyzed with the Agilent 2100 Bioanalyzer (Agilent Technology) that requires nanogram quantities of RNA. All RNA samples that were used for hybridization exhibited intact 28S and 18S ribosomal RNA on denaturing agarose gel electrophoresis. Absorbance readings (260/280 nm) for both total RNAs and biotin-cRNAs fall in the range of 1.8 to 2.1. Only samples with yields of in vitro transcribed RNA >45 µg were hybridized to the chips. After the GeneChips were scanned, they were inspected for possible image artifacts. The average background and noise (raw Q) of all chips used for expression analysis registered within acceptable ranges. The GeneChip eukaryotic hybridization controls (bioB, bioC, bioD, and cre) demonstrated that all samples have similar hybridization efficiencies. 3'/5' Ratios of internal control genes (actin, GAPDH) for all chips were below 3. When global normalization-to-target intensity of 150 was applied, all chips had about equivalent scaling factors at 3–5. Those chips that failed to pass above standards were excluded from further analysis.
Identification of significant transcriptional changes. The fluorescent intensities of microarray hybridization signals were measured by the Agilent Gene Array Scanner and converted to a digitized matrix (CEL files). These data were then analyzed using the robust multichip average approach corrected for probe GC content (GC-RMA) (18), using the Bioconductor (www.bioconductor.org) affy package (14), and hybridization signal intensity values were generated in log2 format. The probe sets with average signal intensity <4 (16 on a numerical scale) were considered as background noise and excluded from further analysis. Expression values of the detectable 13,593 probe sets were scanned for individual low signals, and probe sets with signal intensities <5 (32 on a numerical scale) were modified by increasing the whole number portion to 5 while the decimal number portion remained intact. Data were then normalized for significance analysis of microarrays (SAM) using SAM-recommended raw wise normalization (13). To increase the statistical power of SAM, the probe sets that identified the same transcripts were clustered as described previously (34). The SAM was conducted using 300 permutations of 5 control and 3 IRI or 3 BNx samples. Based on array power prediction, genes with 1.5-fold change and 1% FDR were considered significantly affected by IRI or BNx.
Hierarchical clustering. Fold-change values for individual IRI and BNx samples were derived by subtraction of average control expression (log2 format) from corresponding experimental expressions (log2 format). One hundred significant genes (top 50 of upregulated and top 50 of downregulated genes) from three comparisons (BNx vs. sham control after 36 h, IRI vs. sham control after 6 and 36 h) were combined and filtered for unique genes. The resulting 160 genes were clustered based on a gene expression pattern similarity (Pearson correlation) using MeV software.
Validation of gene expression data.
Quantitative real-time RT-PCR validation of selected candidate genes was conducted as previously described (23, 24). Briefly, transcript levels of selected candidate genes in control and kidney IRI-treated lung tissues were measured (n = 3/condition) in 96-well microtiter plates with an ABI Prism 7700 Sequence Detector Systems (PerkinElmer/Applied Biosystems). TaqMan 18S rRNA Control Reagent was used as an internal control for normalization. Primers and probes were purchased from Applied Biosystems in a 20x mixture. All experimental protocols were based on the manufacturer's recommendation using the TaqMan Gold RT-PCR Core Reagents Kit (PerkinElmer/Applied Biosystems, P/N 402876). Experimental parameters were 48°C for 30 min followed by 40 cycles of 95°C for 15 s and 60°C for 1 min. Relative gene expression was calculated using the 2–Ct method, which generates fold-change values for mRNA transcript levels expressed in IRI-treated lung samples relative to sham-operated samples as described previously (24).
Computational identification of AKI-associated candidate genes. The gene lists generated for IRI and BNx samples were cross-referenced using Microsoft Access, and genes which were unique to IRI effects were considered IRI specific. These genes were used for Gene Ontology analysis by GeneMAPP 2.1 and MAPPFinder 2.0 (6, 12) for identification of biological processes in which IRI-specific genes were implicated. Briefly, the detectable 13,593 probe sets (see above) were scanned for redundancy, and extra probe sets that targeted the same transcript were eliminated. Remaining probe sets were assigned corresponding IRI-induced fold-change values, whereas IRI nonspecific probe sets were assigned zeros. The resulting dataset was processed by GeneMAPP 2.1 considering all nonzero values as involved in corresponding biological pathways and analyzed by MAPPFinder 2.0. Biological processes with a Z score >2 in which at least five IRI-associated genes were involved and represented at least 10% of a given pathway were considered significantly affected by AKI.
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RESULTS |
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6 mice/group (Fig. 1) to correlate changes in kidney function with changes in lung histology, BAL, and gene expression. Compared with sham, SCr was significantly increased at 24 h (2.7 ± 0.2 vs. 0.3 ± 0.04, P < 0.001) and 36 h (2.8 ± 0.2 vs. 0.6 ± 0.1, P < 0.001) after IRI, but not at 6 h (1.0 ± 0.3 vs. 0.2 ± 0.04). Similarly, SCr was significantly increased at 24 h (3.1 ± 0.3, P < 0.001) and 36 h (3.3 ± 0.2, P < 0.001) after BNx, but not at 6 h (0.9 ± 0.2). Importantly, similar elevations in serum creatinine occurred with 60-min IRI and BNx.
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6 mice/group (Fig. 2). Compared with sham, BAL protein was significantly increased at 36 h (357 ± 35 vs. 540 ± 71, P < 0.05) after IRI, but not at 6 h (350 ± 37 vs. 455 ± 68, P = 0.19). In contrast, compared with sham, BAL protein was not increased at either 6 h (316 ± 37, P = 0.70) or 36 h (278 ± 53, P = 0.25) following BNx.
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60% genes as expressed in lung tissues on each array. At 6 h, SAM of expression profiles identified 266 lung genes with increased expression and 615 genes with decreased expression after kidney IRI compared with sham, while the BNx effects on lung transcription were undetectable. At 36 h, analysis identified 600 lung genes with increased expression after kidney IRI compared with sham and 327 genes with decreased expression. Analysis of genomic responses to BNx after 36 h also demonstrated significant expressional changes of 519 genes of which 226 genes were upregulated and 293 downregulated. A detailed list of the significantly affected lung genes following kidney IRI or BNx can be found in the Supplemental Tables 1–3 (all supplemenmtary material can be found in the online version of this study), and GC-RMA array values are provided under accession no. GSE6730 at the National Center for Biotechnology Information (NCBI) Gene Expression Omnibus database at www.ncbi.nlm.nih.gov/projrcts/geo.
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Ischemia-specific gene expression changes in the lung following experimental AKI. Once significant differences in lung genomic responses between IRI and BNx were established, we focused on elucidation of potential mechanistic pathways unique to kidney IRI-induced lung structural and functional changes. We conducted subtractive analysis of global transcriptional changes of whole lung tissue detected at 6 or 36 h after kidney IRI or BNx. Genes that were significantly affected by BNx were subtracted from those affected by IRI, thus identifying specific IRI-related genes. Given that BNx genomic effects on the lung after 6 h were undetectable, all genomic changes identified 6 h following bilateral kidney ischemia were therefore considered ischemia related. At 36 h, analysis identified 600 lung genes with increased expression after kidney IRI compared with sham, of which 145 (24%) were also increased after BNx, and 327 genes with decreased expression, of which 123 (38%) were also decreased after BNx. Therefore, 455 upregulated and 204 downregulated ischemia-specific lung candidate genes were identified at 36 h postischemia (Fig. 6). Ischemia-specific, at both 6- and 36-h time points, lung candidate genes with the greatest fold-changes (average FC >4) in expression following kidney IRI are listed in Table 2.
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To validate the potential biological relevance of candidate genes involved in these bioprocesses, a qualitative analysis of these IRI-specific transcripts was conducted using PubMatrix, the automated literature search engine (http://pubmatrix.grc.nia.nih.gov). The 29 activated genes from the immune and inflammatory bioprocesses in the 6-h GO table and the 39 activated genes from the ubiquitin cycle and apoptosis bioprocesses from the 36-h GO table were matched against the term "acute lung injury" in the PubMed database. The most commonly cited genes related to these terms, as well as fold-changes at 6 or 36 h, are listed in Table 4.
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DISCUSSION |
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TOPABSTRACTMATERIALS AND METHODSRESULTSDISCUSSIONGRANTSREFERENCES |
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Serum creatinine began to rise within 6 h of experimental manipulation, which was significant at 24 and 36 h compared with sham. There was a similar degree of rise in creatinine in the animals with 60-min IRI or BNx compared with sham laparotomy controls, despite visual verification of renal reperfusion following clamp removal at the time of surgery and despite previous findings from our laboratory that 60 min of ischemia does not cause frank organ necrosis on H&E. In addition, this finding of a similar rise in SCr between treatment groups was recently corroborated by Hoke et al. (17). However, only mice treated with kidney IRI developed an increased BAL protein (surrogate for increased lung microvascular permeability) and persistent morphological evidence of lung injury and inflammation. Subsequent gene expression-profiling studies identified early lung transcriptional changes following kidney IRI, but not BNx, and GO analysis revealed involvement of several proinflammatory and proapoptotic biological pathways. Taken together, these findings suggest that while our distinct models of experimental AKI are similar in terms of the timing and severity of induced renal failure, the development of distant lung dysfunction occurred only under conditions involving concomitant organ ischemia-reperfusion.
The observation that visceral organ (i.e., intestinal, hepatic) ischemia-reperfusion induces remote organ injury and inflammation has been well documented under both clinical and experimental conditions (5, 16, 27). The mechanisms of gut reperfusion-induced lung injury, while not completely elucidated, center on 1) infiltration and/or activation of lung neutrophils by circulating soluble factors (i.e., cytokines) induced by damaged cells/tissues (9, 16) and 2) infiltration and/or activation of lung neutrophils by factors derived from the mesenteric lymph (7, 25, 38). However, the effects of kidney IRI on subsequent lung dysfunction have not been studied extensively, and clearly, the potential molecular mechanisms involved remain unknown. Unlike other visceral organs such as the gut and liver, the kidney is generally not considered an immune organ capable of generating a robust proinflammatory response and subsequent multiple organ failure. However, previous studies from our laboratory have shown that kidney IRI in rats caused increased pulmonary vascular permeability to albumin, which was associated with lung edema and alveolar hemorrhage that peaked at 48 h after initial surgery (20). Subsequent studies by Deng et al. (10) found that kidney IRI in mice causes an early inflammatory response characterized by rapid activation of the transcription factors NF-
B and AP-1 in the lung. This was followed by expression of lung TNF- and ICAM-1 and accumulation of pulmonary neutrophils by 4 h postinjury. The findings of our current study corroborate those findings in mice of early activation of inflammatory genes, but they also reveal persistent lung neutrophil infiltration and evidence of microvascular injury following kidney IRI.
To validate the quantitative and qualitative results of our gene expression-profiling studies, we performed separate measurements of the most significantly activated early inflammatory gene (Saa3) as well as the gene with the lowest early expression level (Edn1) using quantitative real-time PCR. The overall agreement in gene expression between microarray analysis and by the TaqMan assay was very consistent at the early 6-h time point, but less so at the later 36-h time point. For instance, at 36 h, Saa3 gene expression following BNx was significantly increased compared with sham when measured by RT-PCR (4.4 FC), but not when measured by microarray (2.2 FC). In addition, Edn1 gene expression at 36 h following IRI was significantly increased compared with sham when measured by microarray (4.3 FC), but not when measured by RT-PCR (1.3 FC). These findings highlight the need for further validation of candidate genes, both quantitatively and qualitatively (i.e.. protein expression levels), that emerge from discovery tools such as gene expression-profiling with microarrays.
Saa3, an isoform of SaA, is an acute-phase reactant induced in both liver and extrahepatic sites in response to proinflammatory stimuli, and its increased expression in the lung has been observed in animal models of LPS-induced lung injury (32, 37). A direct pathophysiological role in facilitation of ALI under conditions of ischemic AKI remains to be determined but, as demonstrated by its greater than 40-fold increase in early lung gene expression, Saa3 is an attractive candidate gene to be investigated as a potential mediator of AKI-induced ALI in future studies. We found an early significant decrease in Edn1 lung expression following kidney IRI, and therefore found it to be an ideal candidate gene to validate our ability to accurately measure genes whose expression is deactivated following treatment. In addition, Edn-1 is a potent vasoconstrictor and its expression is associated with pulmonary endothelial injury and microvascular leak (15, 21). The deactivation of gene expression at 6 h may represent a response to an increase in early protein abundance or activity, and given that it is also the gene with most links to "acute lung injury" term in the PubMed database, makes Edn1 an attractive candidate gene to be investigated as a potential mediator of AKI-induced ALI in future studies.
To identify relevant biological pathways potentially involved in kidney IRI-induced lung injury, we performed gene ontology analysis of the ischemia-specific candidate genes. GenMAPP is a computer application designed to link gene expression genomic data to biological pathways and groupings of genes. Integrated with GenMAPP are MAPPFinder tools that perform a global analysis of gene expression in the context of hundreds of pathways and thousands of gene ontology terms and facilitate identification of global biological trends in gene expression data. Our results identified early activation of several pathways including genes involved in inflammatory and immune bioprocesses and later activation of proapoptotic pathways. These findings provide a platform for future detailed studies investigating a likely role for the innate immune response in initiating distant organ inflammation following kidney ischemia and may indicate pulmonary endothelial and/or epithelial apoptosis as effector mechanisms of lung microvascular barrier disruption in the setting of ischemic AKI.
Confounding variables in our understanding of ischemic AKI-associated distant organ dysfunction are the relative contributions of uremia, impaired fluid and toxin clearance, volume overload, and increased capillary hydrostatic pressure vs. the effects of renal cellular hypoxia and reoxygenation. The current findings support our hypothesis that the lung genomic changes induced by kidney IRI are distinct from those induced by accumulation of fluid and uremic toxins alone and reveal that global uremia, in the absence of ischemia-reperfusion, is not sufficient to induce distant lung injury. While our study is the first, to our knowledge, comprehensive comparison of global gene expression changes in the lung following kidney IRI or isolated uremia (BNx), other investigators have very recently reported the effects of kidney IRI vs. BNx on lung histological injury and neutrophil accumulation as well as serum cytokine levels (17). This study, in contradistinction to our findings in 8- to 10-wk-old C57BL/6 mice, discovered similar lung injury between animals treated with kidney IRI and those treated with BNx, compared with sham, with findings of septal edema, hemorrhage, and inflammation. Both groups displayed increased serum cytokines compared with sham, albeit distinct profiles. In comparison of the two studies, it is important to note that the duration of bilateral renal ischemia was significantly greater in our study (60 vs. 22 min). Furthermore, we have previously observed that, despite an increase in proinflammatory molecules such as chemokine KC and IL-6 in the lung after 30 min of kidney ischemia, there is no significant changes in lung histology, wet-to-dry ratio, increase in microvascular permeability, or microarray changes compared with sham surgery alone (31). This was the rationale for our focus on the 60-min ischemia time for the current studies. Another important potential variable is the effect of volume expansion on lung functional and genomic changes. As we and others have previously published, rodents lose weight after kidney IRI, most likely from the impaired ability of the kidney to retain salt and water, while nephrectomized animals do not have this acute weight loss despite losing both kidneys. Despite the increase in net body fluid in the nephrectomized animals compared with the IRI animals, their lung functional and genomic changes were minimal compared with sham, thus excluding the effects of fluid retention on the lung changes seen in ischemic AKI.
Although it is well established that AKI is associated with high mortality and distant organ dysfunction, contemporary thinking is that AKI, in fact, induces lung changes which predispose patients to a worse outcome. For instance, renal IRI in mice prone to sickle cell disease markedly worsens pulmonary inflammation compared with the lung changes induced by AKI in wild-type mice (28). However, ischemic preconditioning, both local and distant, is a well-established phenomenon where an initial organ injury protects the organ from a secondary insult. We have found that ischemic AKI in mice leads to alterations in splenocytes so that they are less capable of orchestrating a secondary ischemic organ inflammation and injury on transfer (3). Similarly, kidney-infiltrating lymphocytes 24 h after IRI have reduced ability, compared with sham AKI lymphocytes, to augment secondary ischemic injury (1). Recently, bilateral nephrectomy, but not kidney IRI, was shown to partially attenuate hydrochloric acid/injurious ventilation induced lung injury via decreased neutrophil-induced injury (39). Our findings of a marked difference in lung genomic response in BNx vs. IRI, despite similar increases in serum creatinine, could explain these findings.
In summary, using an established model of ischemic AKI in the mouse and a model of bilateral nephrectomy to simulate acute uremia without IRI, we found lung structural and functional changes following IRI, but not BNx, compared with sham controls. Global gene expression profiling of lung tissues identified ischemia-specific changes in the lung transcriptome which are distinguishable from those produced by uremia alone and which involve several proinflammatory and proapoptotic pathways. Further bioinformatic analysis highlighted several key target biological processes including early activation of immune and inflammation genes and later activation of ubiquitin- and apoptosis-related genes. This study identifies potential novel diagnostic and therapeutic targets and provides a platform for further detailed investigation into the molecular mechanisms of ischemic AKI-associated distant organ dysfunction.
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FOOTNOTES |
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The costs of publication of this article were defrayed in part by the payment of page charges. The article must therefore be hereby marked "advertisement" in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.
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