08 June 2018: Original Paper
Serum Caspase-Cleaved Cytokeratin (M30) Indicates Severity of Liver Dysfunction and Predicts Liver Outcome
Hani Oweira BDE 1,2, Mahmoud Sadeghi ACDE 3, Daniel Volker DE 4, Markus Mieth DE 3, Ahmed Zidan DEF 5, Elias Khajeh CF 3, Omid Ghamarnejad CEF 3, Hamidreza Fonouni DF 3, Karl Heinz Weiss DF 6, Jan Schmidt BE 1,2, Imad Lahdou ABD 4, Arianeb Mehrabi DE 3*
DOI: 10.12659/AOT.908031
Ann Transplant 2018; 23:393-400
Abstract
BACKGROUND: The Model for End-Stage Liver Disease (MELD) score is a well-established tool for assessing hepatic failure. The present retrospective study investigated whether serum keratin 18 (M65) and caspase-cleaved cytokeratin (M30) were associated with liver dysfunction and post-transplant graft failure.
MATERIAL AND METHODS: A total of 147 patients with liver cirrhosis were categorized into 2 groups according to their baseline MELD score (group I: MELD score <20, n=87, and group II: MELD score ≥20, n=60). Serum M65 and M30 levels were measured by ELISA.
RESULTS: Cirrhotic patients had significantly higher serum M65 and M30 levels than healthy controls (p<0.0001). Serum M65 was correlated with the MELD score and serum bilirubin (p≤0.007) and serum M30 was correlated with the MELD score, international normalized ratio, and serum bilirubin (p≤0.001). Group II had significantly higher serum M65 and M30 levels than group I (M65, p=0.025 and M30, p<0.001). Patients who lost the allograft during the first post-transplant year had significantly higher serum M30 levels than patients with a graft survival of >1 year (p=0.004). In the regression analysis, serum M30 was associated with the MELD score (odds ratio [OR]=2.545, p=0.005), serum bilirubin (OR=2.605, p=0.005) and 1-year graft loss (OR=3.61, p=0.006).
CONCLUSIONS: Our data indicate that serum M30 levels reflect the degree of liver dysfunction and can predict 1-year graft loss.
Keywords: Keratin-18, Liver Cirrhosis
Background
Cytokeratin 18 (CK18) or M65 is a major cytoplasmic intermediate filament protein in hepatocytes and cholangiocytes, as well as in epithelial cells and tissues [1,2]. M65 is overexpressed in most types of carcinoma, including breast, prostate, lung, colon, and ovary cancer [3]. Soluble CK18 is released from human carcinoma cells during cell death. The cytosolic pool of soluble CK18 is released during apoptosis [3]. Analyzing different forms of CK18 in patient sera identifies the mode of cell death and provides useful serum markers for predicting the clinical progression of epithelial malignancies [3–5]. The ratio of caspase-cleaved CK18 fragments (M30) to total M65 represents the balance between caspase-mediated apoptosis and non-proteolytic necrosis and can predict the clinical outcome of colorectal cancer [6].
In liver diseases, serum M30 and total M65 levels are clinically useful markers of liver fibrosis in patients with chronic hepatitis C virus (HCV) infection, acute-on-chronic hepatitis B, and hepatic and biliary inflammation in patients with chronic liver diseases [1,7–9].
There has been continued effort to improve prognostic scoring systems for the allocation of donor livers. The Model of End-Stage Liver Disease (MELD) score is a prognostic measure for hepatic insufficiency/failure and includes assessment of patient serum creatinine (Cr), serum bilirubin, and international normalized ratio (INR)/prothrombin time [10]. The MELD score predicts short- and medium-term survival in patients with liver cirrhosis [10,11] more accurately than the Child-Pugh classification [12,13]. In addition, it is associated with 3-month mortality rates in patients on the liver transplant waiting list, and is therefore useful in determining organ allocation [11]. Previous studies showed that liver disease patients with MELD scores >20 had significantly higher risk of mortality at all time points as compared to patients with MELD scores <20 (14–16].
In this study, we investigated whether serum M65 and M30 are associated with the severity of liver disease and 1-year graft loss in patients with hepatic cirrhosis. The sensitivity and specificity of these biomarkers and their predictive value in correlation to the MELD score were assessed.
Material and methods
Patients
DEMOGRAPHIC DATA: The study was approved by the local ethics committee. In a retrospective study, we measured different parameters in 147 cirrhotic patients (age 51.8±11.7 years, 45 females) who underwent liver transplantation (LTx) because of end-stage liver disease (ESLD). Recipient characteristics are shown in Table 1. ESLD was caused by: alcoholic liver cirrhosis (n=45, 30.6%); congenital, autoimmune, and metabolic disorders, including cryptogenic cirrhosis, biliary disease, metabolic liver disease, autoimmune hepatitis, and amyloidosis (n=59; 40.1%); and viral hepatitis (n=43, 29.3%) (Table 1). Before surgery, we measured the severity of liver disease (MELD score) and serum levels of C-reactive protein (CRP), M65, M30, bilirubin, alanine aminotransferase (ALT), aspartate aminotransferase (AST), INR, and albumin. To investigate viral infection status, we measured cytomegalovirus (CMV), hepatitis B virus (HBV) and HCV IgGs. Twenty-five participants were re-transplant patients and were equally distributed between the 2 groups (Table 1). Hepatic encephalopathy (51 patients) and renal insufficiency (46 patients) were significantly different between the 2 groups (p≤0.005) (Table 1). All samples were collected on the day of transplantation. Patients were classified as having either moderate (MELD score <20 (median value), group I, n=87) or severe (MELD score ≥20, group II, n=60) liver disease (Table 1). We performed a “piggy-back” technique with end-to-side caval and end-to-end portal vein anastomosis for liver transplantation in all patients. We found no statistically significant differences between the 2 groups in pre-transplant body mass index (BMI) and lean body mass of recipients, operation time, cold ischemia time, and post-transplant administered immunosuppressive regimens, as well as donor age, donor sex, or CMV status of donors (Table 1). Operation time (p=0.66), cold ischemia time (p=0.48), and serum Cr at 3 (p=0.58), 6 (p=0.82), and 12 months (p=0.48) post-transplant were not significantly different between the 2 groups. Only 1 patient received a liver from a living donor. Combined liver-kidney transplant was performed in 6 patients (3 patients in each group: p=0.64). Early graft dysfunction developed in 17 of 60 patient with MELD ≥20, and in 21 of 87 patients with MELD <20 (p=0.57). Post-operative site infection occurred in 7 of 87 and 8 of 60 patients (p=0.30) (Table 1). At 1 year after transplantation, 27 patients experienced graft failure (9 of 60 and 18 of 87: p=0.38). Thirty-three healthy controls (HCs) with no known active disease were included for comparison. Controls were free of infectious and other inflammatory illnesses.
SERUM SEPARATION:
Serum was collected after blood clotting in a serum separator tube by centrifugation at 4000 rpm for 15 min at 4°C. The serum was snap frozen and stored at −20°C until testing. All serum samples were thawed only once.
DETERMINATION OF TOTAL CK18 (M65), M30 AND NEOPTERIN LEVELS:
Serum M65 (detection limit 60 U/L and coefficient of variation <10%) and M30 (detection limit 60 U/L and coefficient of variation <7%) levels were measured by ELISA (M65: cat. no. 10010, PEVIVA; M30 cat. no. 10040; PEVIVA) in HCs and cirrhotic patients. Serum from liver patients was diluted 1: 2 with the corresponding dilution buffers for M65 and M30, according to the manufacturer’s protocols. Serum CRP levels were assessed in a certified laboratory at Heidelberg University Hospital.
STATISTICAL ANALYSIS:
Mann-Whitney-U, Fisher’s exact, and Kruskal-Wallis tests were used to compare non-parametric continuous data, 2 groups of categorical data, and greater than 2 groups of categorical data, respectively, using the Statistical Package for the Social Sciences version 18 (SPSS, Chicago, USA). P values ≤0.05 were considered significant. The Spearman rank correlation test was used to determine associations between variables. Receiver operating characteristic (ROC) curve analyses were performed to determine the diagnostic sensitivity and specificity of parameters.
Results
SERUM M65 AND M30 LEVELS ARE INCREASED IN ESLD PATIENTS:
We analyzed serum samples from 147 ESLD patients. Serum M65 (2294±1153 U/l vs. 368±108) and M30 (1096±806 U/l vs. 179±113) levels were higher in patients with ESLD immediately prior to liver transplantation compared with HCs (p<0.001) (Figure 1).
CORRELATION OF MELD SCORE AND IMMUNE PARAMETERS:
The MELD score was positively correlated with serum CRP (r=0.43, p<0.001), M30 (r=0.31, p<0.001) and M65 (r=0.23, p=0.006) levels. Serum M30 was positively correlated with bilirubin (r=0.33, p<0.001), INR (r=0.24, p=0.004), and Cr (r=0.17, p=0.040) (Figure 2).
SERUM M65 AND M30 LEVELS ARE ASSOCIATED WITH MELD SCORE, SERUM BILIRUBIN, INR, AND 1-YEAR GRAFT LOSS:
Serum M65 (2156±1164 U/l vs. 2563±1058 U/l, p=0.025) and M30 (957±726 U/l vs. 1490±906 U/l, p<0.001) were significantly lower in group I (MELD <20) than in group II (MELD ≥20) (Table 2). Serum Cr levels in patients with hepatorenal syndrome and/or renal insufficiency were not associated with serum M65 (p=0.07) and M30 (p=0.11). This indicated no correlation of kidney function with M30 and/or M65 levels. Serum M30 and M65 levels were similar in patients with and without encephalopathy. Patients with serum bilirubin ≥4 mg/dl (median value) had significantly higher serum M30 (p=0.002) and M65 (p=0.010) than patients with serum bilirubin <4 mg/dl. Patients with an INR ≥1.3 (median value) had slightly higher serum M30 (p=0.02) than patients with an INR <1.3. The ratio of M30 to total M65 was significantly higher in patients with MELD scores ≥20 (p=0.002) and an INR ≥1.3 (p=0.011).
Nine patients died during the first post-transplant year and were excluded from the post-transplant graft loss analysis. Recipients with graft loss within the first post-transplant year (n=25) had significantly higher M30 serum levels than recipients with >1-year post-transplant graft survival (n=113) (1702±926 U/l
In our previous study of 94 patients, we showed that serum neopterin, quinolinic acid, and CRP were positively associated with the MELD score [17]. In the present study, we quantified serum CRP in more cirrhotic patients. Our current results confirm that serum CRP levels were significantly increased in patients with a MELD score ≥20 compared to patients with a MELD score <20 (30±28 mg/l vs. 15±25 mg/l, p≤0.001) (Table 2).
SENSITIVITY AND SPECIFICITY OF SERUM M65 AND M30 IN PATIENTS WITH LIVER DYSFUNCTION, GRAFT FAILURE, AND 1-YEAR MORTALITY:
We performed ROC curve analysis to calculate the sensitivity, specificity, and cut-off values of the investigated markers to predict advanced liver failure (MELD score ≥20). Positive test results were defined as serum M65 >2200 U/l (p=0.012) and M30 >900 U/l (p<0.001). Sensitivity was 64% and 64% and specificity was 60% and 64% for M65 and M30, respectively (Figure 3). ROC curve analysis showed a good discriminatory ratio for patients with graft loss during the first post-transplant year vs. patients with >1-year graft survival (area under the curve (AUC) 0.68, p=0.007), with 60% sensitivity and 81% specificity for a M30 cut-off of 900 IU/l (Figure 3).
REGRESSION ANALYSIS OF SIGNIFICANT PARAMETERS:
Univariate regression analysis showed that serum M65 >2200 U/l (p=0.010) and M30 >900 U/l (p=0.006) was significantly associated with MELD scores ≥20. Multivariate analysis of these parameters revealed that only serum M30 (OR=2.55, confidence interval [CI]=1.30–4.97, p=0.005) was associated with liver disease activity (MELD score), high serum bilirubin (OR=2.61, CI=1.35–5.06, p=0.004), and low 1-year graft survival (OR=4.79 CI=1.29–11.93, p=0.001). M30 >900 U/l (OR=4.79, CI=1.92–11.92, p=0.001) showed higher 1-year graft loss than a MELD score ≥20 (median value) (OR=3.00, CI=1.35–6.81, p=0.006). A multivariate analysis showed that serum M30 >900 U/l (OR=3.61, CI=1.48–8.88, p=0.005) was more predictive of 1-year graft loss than a MELD score of ≥20 (OR=2.54, CI=1.00–6.57, p=0.030).
Discussion
The MELD score was developed to predict short-term mortality of patients with transjugular intrahepatic portosystemic shunt and suggests liver disease severity [18]. Chronic liver injury involves chronic inflammation driven by overactive chemokines and cytokines that results in cirrhosis or end-stage fibrosis [19]. Cytokeratin 18 (K18) maintains hepatocyte integrity and K18 deficiency causes liver damage and dysfunction [20]. Liver fibrosis is caused by apoptosis and necrosis of parenchymal cells, which leads to recruitment of immune cells, the activation and accumulation of fibrogenic cells, and the deposition of extracellular matrix [21].
Apoptosis and necrosis are 2 major types of cell death [22]. Apoptosis is an early, chronic and temperate form of programmed cell death, whereas necrosis is acute premature cell death occurring in response to cellular injury [23]. Liver injury can be caused by different factors, such as drinking alcohol, viral infection, cholestasis, steatosis, drug abuse, and autoimmunity. These factors can stimulate immune activation. In a previous study, we showed that inflammatory biomarkers (CRP, neopterin, IL-6, and quinolinic acid) are positively associated with hepatic dysfunction in patients with liver cirrhosis [17]. Based on previous findings, we hypothesized that apoptotic and necrotic markers can predict the severity of hepatic dysfunction according to the MELD score. The objective of the present study was to investigate whether the cell death markers M65 (marker of necrosis) and M30 (marker of apoptosis) are correlated with the degree of clinical liver failure and post-transplant outcome.
Liver injury can induce necrosis or apoptosis, depending on the severity of the injury [24]. Serum M30 levels have been associated with mortality in patients with sepsis and severe traumatic brain injury [25,26]. In addition, Valva et al. reported that high serum M30 levels are associated with the pathogenesis of chronic pediatric HCV infection and the severity of steatosis [27,28].
In the present study we found a strong association of M30 serum levels with serum bilirubin and INR (2 parameters of the MELD score), which supported a correlation of M30 with liver injury but not with kidney injury. Our data demonstrate that serum M65 and M30 levels are significantly increased in ESLD patients compared with HCs (p<0.001). Furthermore, a significant difference in serum M65 and M30 levels was noted between moderate (group I) and severe (group II) liver dysfunction (calculated using MELD scores) (M65: p=0.01, M30: p<0.001). These findings agree with previous findings that M65 and M30 are associated with hepatic injury in patients with advanced liver disease, especially non-alcoholic liver disease [29–31]. Our results also support previous findings that inflammatory cytokines/chemokines such as TNF-α, TGF-β, IFN-γ, IL-10, CCL3, CCL4, CXCR3 ligand, IP-10, CCR5 ligands, and chemokine (C-C motif) ligand 5 are released in patients with progressive liver injury [32–36] and can stimulate hepatocyte cell death through different pathways [37,38]. Although M65 and M30 have mainly been evaluated in patients with liver disease, M65 is expressed in a variety of adult epithelial organs and may play a role in carcinogenesis. M65 is a marker of necrosis and cell death during renal failure, is a response biomarker for anticancer drugs, and is overexpressed in breast, prostate, lung, colon, and ovary carcinomas [3,39–41].
The prognostic and predictive value of serum M30 levels has been studied in patients with hepatocellular carcinoma (HCC). Pre-transplant M30 serum levels were suggested as prognostic biomarkers of 1-year post-transplant survival in HCC patients [42]. Increased levels of M30 as a marker of apoptosis predicted non-hepatocellular carcinoma liver-related mortality in patients with alcoholic cirrhosis [20]. The predictive and prognostic value of M30 in patients with different liver diseases was studied previously [43–47]. We investigated the predictive value of pre-transplant M30 and M65 levels in cirrhotic patients with different original diseases. The results suggested that serum M30 levels of >900 U/l are more predictive of 1-year graft loss than is the MELD score.
Serum keratin has been used as tumor marker and serum M30 and M65 levels are increased in various liver diseases [20]. Mueller et al. reported that M30 and M65 are independent parameters of mortality in alcoholic cirrhosis [20]. A cascade of mediators released in the graft after transplantation can infiltrate local cells and promote inflammation and graft loss [48].
Patients with cirrhosis are faced with sarcopenia, which is associated with increased mortality and increased length of hospital stay after LTx [49]. Recent studies demonstrated that frailty and sarcopenia are related to failure to rescue after LTx and higher rates of mortality [50,51]. However, in the present study there was no difference in BMI and lean body mass of patients in the patients with a MELD score ≥20 compared to patients with a MELD score <20.
We also measured serum CRP in the present study (with a larger cohort of liver disease patients than in our previous study) to investigate its predictive/prognostic value [17]. Our data confirmed that serum CRP is significantly associated with the severity of liver dysfunction. We suggest that inflammation and cell death are important processes initiated by liver injury. Therefore, measurement of inflammatory and cell death biomarkers may better predict liver damage.
Conclusions
In summary, inflammation and cell death (especially apoptosis) are prominent pathogenic parameters of liver disease. The full details of inflammation-related cell death need to be clarified in a future study. Hepatic inflammation and cell death should also be investigated further to develop novel approaches for the prognosis, prediction, and treatment of liver diseases. Pre-transplant M30 monitoring provides a serum marker which may help to distinguish liver transplant patients at risk of graft loss and for modification of immunosuppressive treatment.
References
1. Yagmur E, Trautwein C, Leers MP, Elevated apoptosis-associated cytokeratin 18 fragments (CK18Asp386) in serum of patients with chronic liver diseases indicate hepatic and biliary inflammation: Clin Biochem, 2007; 40(9–10); 651-55, pmid: 17306787
2. Omary MB, Ku NO, Toivola DM, Keratins: Guardians of the liver: Hepatology, 2002; 35(2); 251-57, pmid: 11826396
3. Kramer G, Erdal H, Mertens HJ, Differentiation between cell death modes using measurements of different soluble forms of extracellular cytokeratin 18: Cancer Res, 2004; 64(5); 1751-56, pmid: 14996736
4. van Dalen A, Significance of cytokeratin markers TPA, TPA (cyk), TPS and CYFRA 21.1 in metastatic disease: Anticancer Res, 1996; 16(4B); 2345-49, pmid: 8694567
5. Stigbrand T, The versatility of cytokeratins as tumor markers: Tumour Biol, 2001; 22(1); 1-3, pmid: 11054020
6. Koelink PJ, Lamers CB, Hommes DW, Verspaget HW, Circulating cell death products predict clinical outcome of colorectal cancer patients: BMC Cancer, 2009; 9; 88, pmid: 19302716
7. Bantel H, Lugering A, Heidemann J, Detection of apoptotic caspase activation in sera from patients with chronic HCV infection is associated with fibrotic liver injury: Hepatology, 2004; 40(5); 1078-87, pmid: 15486927
8. Yilmaz Y, Dolar E, Ulukaya E, Soluble forms of extracellular cytokeratin 18 may differentiate simple steatosis from nonalcoholic steatohepatitis: World J Gastroenterol, 2007; 13(6); 837-44, pmid: 17352011
9. Zheng SJ, Liu S, Liu M, Prognostic value of M30/M65 for outcome of hepatitis B virus-related acute-on-chronic liver failure: World J Gastroenterol, 2014; 20(9); 2403-11, pmid: 24605039
10. Kamath PS, Wiesner RH, Malinchoc M, A model to predict survival in patients with end-stage liver disease: Hepatology, 2001; 33(2); 464-70, pmid: 11172350
11. Xia VW, Taniguchi M, Steadman RH, The changing face of patients presenting for liver transplantation: Curr Opin Organ Transplant, 2008; 13(3); 280-84, pmid: 18685318
12. Wiesner R, Edwards E, Freeman R, Model for end-stage liver disease (MELD) and allocation of donor livers: Gastroenterol, 2003; 124(1); 91-96
13. Huo TI, Lee SD, Lin HC, Selecting an optimal prognostic system for liver cirrhosis: the model for end-stage liver disease and beyond: Liver Int, 2008; 28(5); 606-13, pmid: 18433390
14. Tzeng WS, Wu RH, Lin CY, Prediction of mortality after emergent transjugular intrahepatic portosystemic shunt placement: Use of APACHE II, Child-Pugh and MELD scores in Asian patients with refractory variceal hemorrhage: Korean J Radiol, 2009; 10(5); 481-89, pmid: 19721833
15. Montano-Loza AJ, Tandon P, Kneteman N, Rotterdam score predicts early mortality in Budd-Chiari syndrome, and surgical shunting prolongs transplant-free survival: Aliment Pharmacol Ther, 2009; 30(10); 1060-69, pmid: 19723029
16. Murillas J, Rimola A, Laguno M, The model for end-stage liver disease score is the best prognostic factor in human immunodeficiency virus 1-infected patients with end-stage liver disease: a prospective cohort study: Liver Transpl, 2009; 15(9); 1133-41, pmid: 19718643
17. Lahdou I, Sadeghi M, Oweira H, Increased serum levels of quinolinic acid indicate enhanced severity of hepatic dysfunction in patients with liver cirrhosis: Hum Immunol, 2013; 74(1); 60-66, pmid: 23046794
18. Chung HS, Kim ES, Lee C, Park CS, Comparison of intraoperative changes in blood glucose according to model for end-stage liver disease score during living donor liver transplantation: Transplant Proc, 2015; 47(6); 1877-82, pmid: 26293066
19. Weiskirchen R, Tacke F, Liver fibrosis: From pathogenesis to novel therapies: Dig Dis, 2016; 34(4); 410-22, pmid: 27170396
20. Mueller S, Nahon P, Rausch V, Caspase-cleaved keratin-18 fragments increase during alcohol withdrawal and predict liver-related death in patients with alcoholic liver disease: Hepatology, 2017; 66(1); 96-107, pmid: 28170108
21. Mallat A, Lodder J, Teixeira-Clerc F, Autophagy: A multifaceted partner in liver fibrosis: Biomed Res Int, 2014; 2014; 869390, pmid: 25254217
22. Neuman MG, Cameron RG, Haber JA, Inducers of cytochrome P450 2E1 enhance methotrexate-induced hepatocytoxicity: Clin Biochem, 1999; 32(7); 519-36, pmid: 10614715
23. Galluzzi L, Vitale I, Abrams JM, Molecular definitions of cell death subroutines: Recommendations of the Nomenclature Committee on Cell Death 2012: Cell Death Differ, 2012; 19(1); 107-20, pmid: 21760595
24. Neumann S, Hasenauer J, Pollak N, Scheurich P, Dominant negative effects of tumor necrosis factor (TNF)-related apoptosis-inducing ligand (TRAIL) receptor 4 on TRAIL receptor 1 signaling by formation of heteromeric complexes: J Biol Chem, 2014; 289(23); 16576-87, pmid: 24764293
25. Lorente L, Martin MM, Gonzalez-Rivero AF, Serum levels of caspase-cleaved cytokeratin-18 and mortality are associated in severe septic patients: Pilot study: PLoS One, 2014; 9(10); e109618, pmid: 25290885
26. Lorente L, Martin MM, Gonzalez-Rivero AF, Serum levels of caspase-cleaved cytokeratin-18 in patients with severe traumatic brain injury are associated with mortality: A pilot study: PLoS One, 2015; 10(3); e0121739, pmid: 25822281
27. Valva P, Casciato P, Lezama C, Serum apoptosis markers related to liver damage in chronic hepatitis C: sFas as a marker of advanced fibrosis in children and adults while M30 of severe steatosis only in children: PLoS One, 2013; 8(1); e53519, pmid: 23326448
28. Valva P, De Matteo E, Galoppo MC, Apoptosis markers related to pathogenesis of pediatric chronic hepatitis C virus infection: M30 mirrors the severity of steatosis: J Med Virol, 2010; 82(6); 949-57, pmid: 20419808
29. Castera L, Noninvasive evaluation of nonalcoholic fatty liver disease: Semin Liver Dis, 2015; 35(3); 291-303, pmid: 26378645
30. Altinbas A, Coban S, Basar O, Yuksel O, Utility of M30, an apoptotic serum marker, in liver diseases: Turk J Med Sci, 2015; 45(1); 6-10, pmid: 25790523
31. Barsic N, Lerotic I, Smircic-Duvnjak L, Overview and developments in noninvasive diagnosis of nonalcoholic fatty liver disease: World J Gastroenterol, 2012; 18(30); 3945-54, pmid: 22912545
32. Wang K, Molecular mechanisms of hepatic apoptosis: Cell Death Dis, 2014; 5; e996, pmid: 24434519
33. Barrett S, Collins M, Kenny C, Polymorphisms in tumour necrosis factor-alpha, transforming growth factor-beta, interleukin-10, interleukin-6, interferon-gamma, and outcome of hepatitis C virus infection: J Med Virol, 2003; 71(2); 212-18, pmid: 12938195
34. Ben-Ari Z, Pappo O, Druzd T, Role of cytokine gene polymorphism and hepatic transforming growth factor beta1 expression in recurrent hepatitis C after liver transplantation: Cytokine, 2004; 27(1); 7-14, pmid: 15207246
35. Apolinario A, Majano PL, Alvarez-Perez E, Increased expression of T cell chemokines and their receptors in chronic hepatitis C: Relationship with the histological activity of liver disease: Am J Gastroenterol, 2002; 97(11); 2861-70, pmid: 12425561
36. Moreno C, Gustot T, Nicaise C, CCR5 deficiency exacerbates T-cell-mediated hepatitis in mice: Hepatology, 2005; 42(4); 854-62, pmid: 16175603
37. Malhi H, Guicciardi ME, Gores GJ, Hepatocyte death: A clear and present danger: Physiol Rev, 2010; 90(3); 1165-94, pmid: 20664081
38. Guicciardi ME, Gores GJ, Apoptosis: A mechanism of acute and chronic liver injury: Gut, 2005; 54(7); 1024-33, pmid: 15951554
39. Lebherz-Eichinger D, Krenn CG, Roth GA, Keratin 18 and heat-shock protein in chronic kidney disease: Adv Clin Chem, 2013; 62; 123-49, pmid: 24772666
40. Weng YR, Cui Y, Fang JY, Biological functions of cytokeratin 18 in cancer: Mol Cancer Res, 2012; 10(4); 485-93, pmid: 22452884
41. Linder S, Olofsson MH, Herrmann R, Ulukaya E, Utilization of cytokeratin-based biomarkers for pharmacodynamic studies: Expert Rev Mol Diagn, 2010; 10(3); 353-59, pmid: 20370591
42. Lorente L, Rodriguez ST, Sanz P, Prognostic value of serum caspase-cleaved cytokeratin-18 levels before liver transplantation for one-year survival of patients with hepatocellular carcinoma: Int J Mol Sci, 2016; 17(9) pii: E1524
43. Swiderska M, Jaroszewicz J, Parfieniuk-Kowerda A, Serum cytokeratin 18 M30 levels in chronic hepatitis B reflect both phase and histological activities of disease: Mediators Inflamm, 2017; 2017; 3480234, pmid: 28827897
44. Woolbright BL, Bridges BW, Dunn W, Cell death and prognosis of mortality in alcoholic hepatitis patients using plasma keratin-18: Gene Expr, 2017; 17(4); 301-12, pmid: 28770701
45. Balkan A, Yilmaz N, Balkan Y, Relationship between liver injury and serum cytokeratin 18 levels in asymptomatic hepatitis B virus carriers and in patients with chronic hepatitis B infection: Arab J Gastroenterol, 2017; 18(2); 98-103, pmid: 28579343
46. Bissonnette J, Altamirano J, Devue C, A prospective study of the utility of plasma biomarkers to diagnose alcoholic hepatitis: Hepatology, 2017; 66(2); 555-63, pmid: 28120471
47. Waidmann O, Brunner F, Herrmann E, Cytokeratin 18-based cell death markers indicate severity of liver disease and prognosis of cirrhotic patients: Liver Int, 2016; 36(10); 1464-72, pmid: 26991828
48. Hacker S, Lambers C, Pollreisz A, Increased soluble serum markers caspase-cleaved cytokeratin-18, histones, and ST2 indicate apoptotic turnover and chronic immune response in COPD: J Clin Lab Anal, 2009; 23(6); 372-79, pmid: 19927353
49. Anand AC, Nutrition and muscle in cirrhosis: J Clin Exp Hepatol, 2017; 7(4); 340-57, pmid: 29234200
50. Underwood PW, Cron DC, Terjimanian MN, Sarcopenia and failure to rescue following liver transplantation: Clin Transplant, 2015; 29(12); 1076-80, pmid: 26358578
51. Duarte-Rojo A, Ruiz-Margain A, Montano-Loza AJ, Exercise and physical activity for patients with end-stage liver disease: Improving functional status and sarcopenia while on the transplant waiting list: Liver Transpl, 2018; 24(1); 122-39, pmid: 29024353
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