Change of surfactant protein D and A after renal ischemia reperfusion injury
Authors:
Islam Md Imtiazul aff001; Redwan Asma aff001; Ji-Hye Lee aff002; Nam-Jun Cho aff003; Samel Park aff003; Ho-Yeon Song aff001; Hyo-Wook Gil aff003
Authors place of work:
Department of Microbiology, College of Medicine, Soonchunhyang University, Cheonan, Republic of Korea
aff001; Department of Pathology, Soonchunhyang University Cheonan Hospital, Cheonan, Republic of Korea
aff002; Department of Internal Medicine, Soonchunhyang University Cheonan Hospital, Cheonan, Republic of Korea
aff003
Published in the journal:
PLoS ONE 14(12)
Category:
Research Article
doi:
https://doi.org/10.1371/journal.pone.0227097
Summary
Acute kidney injury (AKI) is associated with widespread effects on distant organs, including the lungs. Surfactant protein (SP)-A and SP-D are members of the C-type lectin family, which plays a critical role in host defense and regulation of inflammation in a variety of infections. Serum levels of SP-A and SP-D are markers to reflect lung injury in acute respiratory distress syndrome, idiopathic pulmonary fibrosis, and sarcoidosis. We investigated the change of lung-specific markers, including SP-A and SP-D in an AKI mice model. We studied C57BL/6J mice 4 and 24 hours after an episode of ischemic AKI (23 min of renal pedicle clamping and then reperfusion); numerous derangements were present, including SP-A, SP-D, and lung tight-junction protein. Neutrophil infiltration and apoptosis in the lungs increased in ischemic AKI. Receptor for advanced glycation end products (RAGE) in the lungs, a marker of pneumocyte I, was not changed. Lung tight-junction proteins, particularly claudin-4, claudin-18, and anti-junctional adhesion molecule 1 (JAMA-1), were reduced in 24 hours after AKI. Serum SP-A and SP-D significantly increased in ischemic AKI. SP-A and SP-D in the lungs did not increase in ischemic AKI. The immunohistochemistry showed that the expression of SP-A and SP-D was intact in ischemic AKI. SP-A and SP-D in the kidneys were significantly higher in AKI than in the sham. These patterns of SP-A and SP-D in the kidneys were similar to those of serum. AKI induces apoptosis and inflammation in the lungs. Serum SP-A and SP-D increased in ischemic AKI, but these could have originated from the kidneys. So serum SP-A and SP-D could not reflect lung injury in AKI. Further study is needed to reveal how a change in lung tight-junction protein could influence the prognosis in patients with AKI.
Keywords:
Cytokines – inflammation – apoptosis – kidneys – Neutrophils – Reperfusion – Renal ischemia
Introduction
Acute kidney injury (AKI) is associated with high mortality and morbidity [1–3]. Some reports suggest that AKI is a systemic disease that adversely affects other organs including bone, gut, brain, heart, and lungs [4–7]. The crosstalk between the kidneys and other organs could contribute to the high mortality [8]. Human and experimental animal data support that AKI adversely affects the lungs [9]. The respiratory complication in patients with AKI could develop grave outcomes. Experimental animal study could reveal that AKI itself affects endothelial cell injury because of inflammation and apoptosis in the lungs [9]. Cytokines could be an important mediator to connect the kidneys to the lungs [10, 11]. Recently, it has been reported that early peritoneal dialysis reduces lung inflammation in mice with ischemic acute kidney injury [12]. Revealing and understanding the mechanism of AKI-induced lung injury could improve the outcome in patients with AKI.
Surfactant proteins are mainly produced in type 2 pneumocytes. Surfactant contains four associated proteins, surfactant protein (SP)-A, SP-B, SP-C and SP-D. SP-A and SP-D are members of the C-type lectin family, which plays a critical role in host defense and regulation of inflammation in a variety of infections [13]. Among lung-specific markers, serum levels of SP-A, SP-B, and SP-D have been reported to be increased in acute respiratory distress syndrome [14, 15]. In patients with idiopathic pulmonary fibrosis and sarcoidosis, serum SP-D could predict the extent of parenchymal disease and their survival possibilities [16].
Our hypothesis is that AKI itself could affect the alveolar epithelial cells, causing damage to pneumocytes I and II, which could change the barrier with the change of tight function protein. Therefore, we investigated the change of lung-specific markers including SP-A and SP-D in an AKI mice model.
Materials and methods
Animals
We used 8- to 10-week-old male C57BL/6J mice (all from Korea), weighing 20 to 25 g. All experiments were conducted with adherence to the National Institutes of Health Guide for the Care and Use of Laboratory Animals. The animal protocol was approved by the Animal Care and Use Committee of Soonchunhyang University.
Surgical protocol
Ischemic AKI and a sham operation were performed as previously described [1]. Also, blood was collected and processed as previously described [17], as detailed in S1 Appendix.
Blood was collected by cardiac puncture 4 and 24 hours after the procedure during the sacrificing of the mice by spine dislocation, as detailed in S1 Appendix.
Collection and preparation of BAL samples
After the collection of blood, the trachea of the mice was dissected and cannulated with a 20-G catheter. Lungs were lavaged with 1 ml of phospahte buffer saline (Gibco, USA, pH 7.4) five times. Samples with <80% return were discarded as the BAL samples that are obtained from <80% return of lavage cannot exactly represent the whole lung status. BAL fluid was centrifuged at 1400×g and 4°C for 5 min, and collected the supernatant and finally stored at -70°C for further use.
Blood urea nitrogen and serum creatinine measurement
Blood urea nitrogen (BUN) was measured by a specific quantitative colorimetric assay (Quantichrome Urea Assay Kit) from the BioAssay Systems according to the manufacturer’s protocol [18]. Serum creatinine was measured by another quantitative colorimetric assay (Creatinine Reagent Set) from POINTE SCIENTIFIC following the manufacturer’s instructions.
Cytokine measurement and Surfactant protein measurements
Preparation of lung lysate sample for ELIA and immunoblot were described in S1 Appendix. Interleukin (IL)-6, tumor necrosis factor alpha (TNF-α), monocyte chemoattractant protein-1 (MCP-1), and receptor for advanced glycation end products (RAGE) level were measured in serum by ELISA using the Mouse IL-6 Quantikine ELISA kit, Mouse TNF-α Quantikine ELISA kit, Mouse/Rat CCL2/JE/MCP-1 Quantikine ELISA Kit, and Mouse RAGE Quantikine ELISA Kit (all from R&D Systems, Inc., Minneapolis, MN, USA) following the manufacturer's instructions.
SP-A and SP-D were determined from BAL, lung lysate, the kidneys and serum by ELISA. Mouse Sftpa1 ELISA Kit (Aviva Systems Biology) and Mouse SP-D Quantikine ELISA Kit (R&D systems, Minneapolis, MN) were used following the manufacturer’s instructions to measure SP-A and SP-D respectively.
Immunoblotting analyses of lung tissue
We did western blot analysis as previously described [16], as detailed in S1 Appendix.
The primary antibodies used in our study included: BCL-2-associated X protein (Bax; Cell Signaling Technology, Danvers, MA) and B cell leukemia/lymphoma 2 (Bcl-2; Cell Signaling Technology), Anti-Claudin 3, Anti-Claudin 4, Anti-Claudin 18, Anti-Junctional Adhesion Molecule 1 (JAMA-1) and Anti-beta Actin all from Abcam.
Histological detection of kidney tubular injury and lung injury
We did histopathological assays and immunohistochemical assays following the previously described techniques [19]. In brief, the kidney and lung tissues were embedded in paraffin, sliced into 5-μm thick sections, and stained with routine hematoxylin-eosin and Periodic acid–Schiff (PAS) stain. We scored the tubular damage markers by calculating the percentage of tubules that displayed dilatation, desquamation, vacuolization, necrosis, atrophy, casts, interstitial inflammatory cell infiltration, or edema, as follows: 0, none; 1, ≤ 10%; 2, 11–25%; 3, 26–50%; 4, 51–75%; and 5, ≥ 76%. A semiquantitative assessment of lung infiltration score was carried out according to the following criteria: 0 (rare neutrophils in capillary lumen), 1 (frequent neutrophils in capillary lumen), 2 (extravasation of neutrophils), 3 (aggregation of neutrophils in alveolar wall).
For immunohistochemical assays, SP-A and SP-D (1:1000; Cell Signaling Technology), primary antibodies and anti-rabbit IgG secondary antibody conjugated with biotin (1:1000; LSAB2 kit, Dako-Agilent Technologies, Germany) were used and performed following the protocol provided by Cell Signaling Technology and finally, representing SP-A and SP-D were evaluated using an optical microscope (400×; Carl Zeiss, model Scope.A1).
Statistical analysis
All experiments were done in triplicate. We did statistical analyses using GraphPad Prism 7 software (GraphPad Software Inc., La Jolla, CA). The differences between AKI and sham were compared using an unpaired Student's t-test.
Results
Reduced renal functional and histological damages after ischemic AKI
Serum creatinine levels and urea nitrogen were increased after ischemic AKI compared to the sham. The increase showed a time-dependent trend, since the serum creatinine levels and urea nitrogen at 24 hours (AKI model) were higher than were those at 4 hours (AKI model) (Fig 1A). In addition, the histological examination of the kidney sections indicated greater tubular damage in the kidneys of AKI mice than in those of the sham. The quantitative analysis of tubular injury also showed a higher acute tubular necrosis (ATN) scores for AKI than for the sham. On the other hand, the 24-hour AKI model had a significantly higher rate of kidney damage than did the 4-hour AKI model (Fig 1B).
Increase of serum cytokines after ischemic AKI
Changes of three different cytokines—IL-6, TNF-α, and MCP-1—were measured in the serum of both the AKI and the sham models after renal ischemia reperfusion. The results showed that the amount of all three cytokines (IL-6, TNF-α, and MCP-1) extremely increased in the serum of the AKI model, whereas the amount was significantly low in the sham (Fig 2).
Apoptosis and degradation of lung after ischemic AKI
The lung histology showed a significant increase of neutrophil infiltration after ischemic AKI (Fig 3A). AKI-induced apoptosis was found in the lungs of AKI mice. BAX and BCL-2 immunoblot results for the lungs showed that the Bax/Bcl-2 ratio was significantly higher in AKI than in the sham (Fig 3B). RAGE in the lungs, a marker of pneumocytes, was not changed after ischemia reperfusion (Fig 3C). However total protein in BAL increased in the AKI model compared with the sham.
According to the immunoblot results, the expression of different tight-junction proteins, particularly claudin-4, claudin-18, and JAMA-1, was reduced in the 24-hour AKI model compared to the sham, but the expression of claudin-3 was similar in both models (Fig 4).
Different types of change of surfactant protein D and A after ischemic AKI
Serum level of SP-A significantly increased in 4- and 24-hour AKI compared to each sham. The serum level of SP-D significantly increased in the 24- hour AKI. The BAL level of SP-D was significantly higher in the 24-hour AKI, but SP-A in BAL showed no significant changes. The SP-A and SP-D in the lungs showed no significant differences between AKI and sham (Fig 5). The immunohistochemistry showed the presence of SP-A and SP-D in the lung tissue of AKI and sham, and these protein expressions were intact in the 4- and 24-hour AKI (Fig 6). These finding suggest that pneumocyte II is intact. SP-A and SP-D in the kidneys were significantly higher in AKI than in the sham. These patterns of SP-A and SP-D in the kidneys were similar to those of serum.
Discussion
The mortality of AKI-associated acute lung injury (ALI) is still high, but the main mechanism is not clear yet [2, 3]. ALI is essentially a noncardiogenic pulmonary edema that occurs in the context of increased alveolar fluid secondary to an increase in lung endothelial or epithelial permeability and/or a decrease in the efficiency of clearance of interstitial fluid [1, 4]. Clinically, the mechanism of lung injury after acute renal injury is considered to be important for improving prognosis in these patients.
Our study showed an increase in blood cytokine consistent with previous reports [5]. These cytokines might be involved with lung injury. We showed that both lung infiltration and an apoptosis marker increased after renal ischemia reperfusion. Our study confirmed that renal ischemia reperfusion crosstalks with other organs, consistent with previous studies [19–20].
SP-A and SP-D play important roles in innate immunity and in the modulation of inflammation in pulmonary infections [6, 7]. Also serum SP-A and SP-D might be good indicators to reflect the lung injury in many lung diseases [8–10]. But there is no report about the change of serum SP-A and SP-D after AKI. We found that serum SP-A and SP-D increased after renal ischemia reperfusion. According to the result of our study, the expression trend of SP-A and SP-D is different from each other. SP-D responds in latent phase while SP-A has more timely response and increased early after ischemia reperfusion injury. These results are similar to our previously reported study where we showed the changes of SP-A and D after the injection of paraquat [21]. Moreover, SP-A could show an early response to stress like the previous report [22]. In addition, the immunohistochemistry results showed that the expression of these proteins did not change in the lungs. Also, there was no change of these protein levels in the lungs. Although SP-D in BAL is increased at 24 hours, SP-A and RAGE, which are pneumocyte I markers, were not changed after renal ischemia reperfusion. Although SP-A and SP-D are predominantly expressed in the lungs, they are also expressed in other tissues/organs including the kidneys. A recent study showed that lipopolysaccharide can increase SP-A synthesis in human renal epithelial cells through sequentially activating the TLA-4-related MERK1-ERK1/1-NF-κB-dependent pathway [11]. Also, other reports showed that SP-A and SP-D attenuated kidney injury by modulating inflammation and apoptosis [12–14], but they did not investigate the blood level of SP-A and SP-D or lung injury. In our study, changes of SP-A and SP-D levels in the kidneys were similar to the serum changes of these proteins. We think that the serum SP-A level could reflect kidney injury, but SP-D could originate with both the kidneys and the lungs, because the increase of SP-D in BAL resulted from loss of the tight-junction protein. Also, our results suggested that AKI may increase serum SP-A and SP-D levels; hence AKI should be considered when interpreting the results of SP-A and SP-D in pulmonary disease.
We investigated the lung tight-junction protein because the protein in BAL increased, although there was no damage of pneumocyte I and II. We think these could reflect leakage between the lungs and blood in alveolar space. Also, increased infiltration and apoptosis could be involved with changes of lung architecture. We showed that the tight-junction protein decreased. The apoptosis causes the degradation of the alveolar barrier by down-regulating the expression of tight-junction proteins, especially claudin-4, that inhibit alveolar fluid clearance, In our study we also found the reduced expression of claudin-4, claudin-18, and JAMA-1, which could explain the high incidence of bacteremia incidence in patients with AKI and pneumonia.
In summary, we concluded that serum SP-A and SP-D increased after renal ischemia reperfusion, but these could have originated in the kidneys; so serum SP-A and D could not reflect lung injury in AKI. After renal ischemia reperfusion, lung inflammation and apoptosis increased, which influenced the lung tight-junction protein. Our schematic overview is shown in Fig 7. Further study needs to reveal how tight-junction protein change could influence the prognosis in patients with AKI and pneumonia.
Supporting information
S1 Appendix [docx]
Supplementary materials and methods.
S1 Fig [tif]
Neutrophil infiltration in the lungs after ischemic kidney injury.
S1 Raw Images [pdf]
Original images for western blots.
S1 File [pdf]
ARRIVE Guidelines checklist.
Zdroje
1. Wald R, McArthur E, Adhikari NK, Bagshaw SM, Burns KE, Garg AX, et al. Changing incidence and outcomes following dialysis-requiring acute kidney injury among critically ill adults: a population-based cohort study. Am J Kidney Dis. 2015;65(6):870–7. doi: 10.1053/j.ajkd.2014.10.017 25533599
2. Park S, Lee S, Jo HA, Han K, Kim Y, An JN, et al. Epidemiology of continuous renal replacement therapy in Korea: Results from the National Health Insurance Service claims database from 2005 to 2016. Kidney Res Clin Pract. 2018;37(2):119–29. doi: 10.23876/j.krcp.2018.37.2.119 29971207
3. Metnitz PG, Krenn CG, Steltzer H, Lang T, Ploder J, Lenz K, et al. Effect of acute renal failure requiring renal replacement therapy on outcome in critically ill patients. Crit Care Med. 2002;30(9):2051–8. doi: 10.1097/00003246-200209000-00016 12352040
4. Lee SA, Cozzi M, Bush EL, Rabb H. Distant Organ Dysfunction in Acute Kidney Injury: A Review. Am J Kidney Dis. 2018;72(6):846–56. doi: 10.1053/j.ajkd.2018.03.028 29866457
5. Lee J, Ko YS, Lee HY, Yang J, Oh S, Jo SK, et al. The role of senescence of bone marrow cells in acute kidney injury. Kidney Res Clin Pract. 2019;38(1):25–32. doi: 10.23876/j.krcp.18.0114 30798585
6. Zhang J, Ankawi G, Sun J, Digvijay K, Yin Y, Rosner MH, et al. Gut-kidney crosstalk in septic acute kidney injury. Crit Care. 2018;22(1):117. doi: 10.1186/s13054-018-2040-y 29724256
7. Fox BM, Gil HW, Kirkbride-Romeo L, Bagchi RA, Wennersten SA, Haefner KR, et al. Metabolomics assessment reveals oxidative stress and altered energy production in the heart after ischemic acute kidney injury in mice. Kidney Int. 2019;95(3):590–610. doi: 10.1016/j.kint.2018.10.020 30709662
8. Doi K, Rabb H. Impact of acute kidney injury on distant organ function: recent findings and potential therapeutic targets. Kidney Int. 2016;89(3):555–64. doi: 10.1016/j.kint.2015.11.019 26880452
9. Faubel S, Edelstein CL. Mechanisms and mediators of lung injury after acute kidney injury. Nat Rev Nephrol. 2016;12(1):48–60. doi: 10.1038/nrneph.2015.158 26434402
10. Andres-Hernando A, Okamura K, Bhargava R, Kiekhaefer CM, Soranno D, Kirkbride-Romeo LA, et al. Circulating IL-6 upregulates IL-10 production in splenic CD4(+) T cells and limits acute kidney injury-induced lung inflammation. Kidney Int. 2017;91(5):1057–69. doi: 10.1016/j.kint.2016.12.014 28214022
11. Ahuja N, Andres-Hernando A, Altmann C, Bhargava R, Bacalja J, Webb RG, et al. Circulating IL-6 mediates lung injury via CXCL1 production after acute kidney injury in mice. Am J Physiol Renal Physiol. 2012;303(6):F864–72. doi: 10.1152/ajprenal.00025.2012 22791336
12. Altmann C, Ahuja N, Kiekhaefer CM, Andres Hernando A, Okamura K, Bhargava R, et al. Early peritoneal dialysis reduces lung inflammation in mice with ischemic acute kidney injury. Kidney Int. 2017;92(2):365–76. doi: 10.1016/j.kint.2017.01.020 28318621
13. Wright JR. Immunoregulatory functions of surfactant proteins. Nat Rev Immunol. 2005;5(1):58–68. doi: 10.1038/nri1528 15630429
14. Park J, Pabon M, Choi AMK, Siempos II, Fredenburgh LE, Baron RM, et al. Plasma surfactant protein-D as a diagnostic biomarker for acute respiratory distress syndrome: validation in US and Korean cohorts. BMC Pulm Med. 2017;17(1):204. doi: 10.1186/s12890-017-0532-1 29246207
15. Determann RM, Royakkers AA, Haitsma JJ, Zhang H, Slutsky AS, Ranieri VM, et al. Plasma levels of surfactant protein D and KL-6 for evaluation of lung injury in critically ill mechanically ventilated patients. BMC Pulm Med. 2010;10:6. doi: 10.1186/1471-2466-10-6 20158912
16. Takahashi H, Fujishima T, Koba H, Murakami S, Kurokawa K, Shibuya Y, et al. Serum surfactant proteins A and D as prognostic factors in idiopathic pulmonary fibrosis and their relationship to disease extent. Am J Respir Crit Care Med. 2000;162(3 Pt 1):1109–14.
17. Hoke TS, Douglas IS, Klein CL, He Z, Fang W, Thurman JM, et al. Acute renal failure after bilateral nephrectomy is associated with cytokine-mediated pulmonary injury. J Am Soc Nephrol. 2007;18(1):155–64. doi: 10.1681/ASN.2006050494 17167117
18. Eddy WE, Gong KQ, Bell B, Parks WC, Ziegler SF, Manicone AM. Stat5 Is Required for CD103(+) Dendritic Cell and Alveolar Macrophage Development and Protection from Lung Injury. J Immunol. 2017;198(12):4813–22. doi: 10.4049/jimmunol.1601777 28500076
19. Freitas SH, Doria RGS, Bueno RS, Rocha WB, Filho JRE, Moraes JRE, et al. Evaluation of potential changes in liver and lung tissue of rats in an ischemia-reperfusion injury model (modified pringle maneuver). PLoS One. 2017;12(6):e0178665. doi: 10.1371/journal.pone.0178665 28604841
20. Ko GJ, Rabb H, Hassoun HT. Kidney-lung crosstalk in the critically ill patient. Blood Purif. 2009;28(2):75–83. doi: 10.1159/000218087 19439927
21. Gil HW, Oh MH, Woo KM, Lee EY, Oh MH, Hong SY. Relationship between pulmonary surfactant protein and lipid peroxidation in lung injury due to paraquat intoxication in rats. Korean J Intern Med. 2007;22(2):67–72. doi: 10.3904/kjim.2007.22.2.67 17616020
22. Sugahara K, Iyama K, Sano K, Kuroki Y, Akino T, Matsumoto M. Overexpression of surfactant protein SP-A, SP-B, and SP-C mRNA in rat lungs with lipopolysaccharide-induced injury. Lab Invest. 1996;74(1):209–20. 8569184
Článok vyšiel v časopise
PLOS One
2019 Číslo 12
- Metamizol jako analgetikum první volby: kdy, pro koho, jak a proč?
- Nejasný stín na plicích – kazuistika
- Masturbační chování žen v ČR − dotazníková studie
- Těžké menstruační krvácení může značit poruchu krevní srážlivosti. Jaký management vyšetření a léčby je v takovém případě vhodný?
- Fixní kombinace paracetamol/kodein nabízí synergické analgetické účinky
Najčítanejšie v tomto čísle
- Methylsulfonylmethane increases osteogenesis and regulates the mineralization of the matrix by transglutaminase 2 in SHED cells
- Oregano powder reduces Streptococcus and increases SCFA concentration in a mixed bacterial culture assay
- The characteristic of patulous eustachian tube patients diagnosed by the JOS diagnostic criteria
- Parametric CAD modeling for open source scientific hardware: Comparing OpenSCAD and FreeCAD Python scripts