microRNA associated with hepatocyte injury and systemic inflammation may predict adverse outcomes in cirrhotic patients.
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
11 Oct 2024
11 Oct 2024
Historique:
received:
31
01
2023
accepted:
06
09
2024
medline:
12
10
2024
pubmed:
12
10
2024
entrez:
11
10
2024
Statut:
epublish
Résumé
As the global prevalence of chronic liver disease continues to rise, the need to determine which patients will develop end-stage liver disease and require liver transplantation is increasingly important. However, current prognostic models perform sub-optimally. We aim to determine microRNA profiles associated with clinical decompensation and mortality/transplantation within 1 year. We examined microRNA expression profiles in plasma samples from patients across the spectrum of cirrhosis (n = 154), acute liver failure (ALF) (n = 22), sepsis (n = 20) and healthy controls (HC) (n = 20). We demonstrated that a microRNA-based model (miR-24 and -27a) associated with systemic inflammation differentiated decompensated cirrhosis states from compensated cirrhosis and HC (AUC 0.77 (95% CI 0.69-0.85)). 6 patients within the compensated cirrhosis group decompensated the subsequent year and their exclusion improved model performance (AUC 0.81 (95% CI 0.71-0.89)). miR-191 (associated with liver injury) predicted risk of mortality across the cohort when acutely decompensated and acute-on-chronic-liver failure patients were included. When they were excluded miR-24 (associated with systemic inflammation) predicted risk of mortality. Our findings demonstrate that microRNA associated with systemic inflammation and liver injury predict adverse outcomes in cirrhosis. miR-24 and -191 require further investigation as prognostic biomarkers and therapeutic targets for patients with liver disease.
Identifiants
pubmed: 39394217
doi: 10.1038/s41598-024-72416-w
pii: 10.1038/s41598-024-72416-w
doi:
Substances chimiques
MicroRNAs
0
Biomarkers
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
23831Subventions
Organisme : Roche Organ Transplant Research Foundation
ID : 1-3336
Organisme : National Institute for Health and Care Research Guy's and St Thomas' Biomedical Research Centre
ID : RE12566
Informations de copyright
© 2024. The Author(s).
Références
Pimpin, L. et al. Burden of liver disease in Europe: Epidemiology and analysis of risk factors to identify prevention policies. J. Hepatol. 69(3), 718–735 (2018).
pubmed: 29777749
doi: 10.1016/j.jhep.2018.05.011
Karlsen, T. H. et al. The EASL-Lancet Liver Commission: Protecting the next generation of Europeans against liver disease complications and premature mortality. Lancet 399(10319), 61–116 (2022).
pubmed: 34863359
doi: 10.1016/S0140-6736(21)01701-3
de Franchis, R., Bosch, J., Garcia-Tsao, G., Reiberger, T. & Ripoll, C. Baveno VII—Renewing consensus in portal hypertension. J. Hepatol. 76(4), 959–974 (2022).
pubmed: 35120736
doi: 10.1016/j.jhep.2021.12.022
Trebicka, J. et al. The PREDICT study uncovers three clinical courses of acutely decompensated cirrhosis that have distinct pathophysiology. J. Hepatol. 73(4), 842–854 (2020).
pubmed: 32673741
doi: 10.1016/j.jhep.2020.06.013
Åberg, F. et al. Development and validation of a model to predict incident chronic liver disease in the general population: The CLivD score. J. Hepatol. 77, 302–311 (2022).
pubmed: 35271949
doi: 10.1016/j.jhep.2022.02.021
Innes, H. et al. Performance of routine risk scores for predicting cirrhosis-related morbidity in the community. J. Hepatol. 77, 365–376 (2022).
pubmed: 35271950
doi: 10.1016/j.jhep.2022.02.022
Child, C. G. & Turcotte, J. G. Surgery and portal hypertension. Major Probl. Clin. Surg. 1, 1–85 (1964).
pubmed: 4950264
Pugh, R. N., Murray-Lyon, I. M., Dawson, J. L., Pietroni, M. C. & Williams, R. Transection of the oesophagus for bleeding oesophageal varices. Br. J. Surg. 60(8), 646–649 (1973).
pubmed: 4541913
doi: 10.1002/bjs.1800600817
Kamath, P. S. et al. A model to predict survival in patients with end-stage liver disease. Hepatology 33(2), 464–470 (2001).
pubmed: 11172350
doi: 10.1053/jhep.2001.22172
Jalan, R. et al. Development and validation of a prognostic score to predict mortality in patients with acute-on-chronic liver failure. J. Hepatol. 61(5), 1038–1047 (2014).
pubmed: 24950482
doi: 10.1016/j.jhep.2014.06.012
Jalan, R. et al. The CLIF Consortium Acute Decompensation score (CLIF-C ADs) for prognosis of hospitalised cirrhotic patients without acute-on-chronic liver failure. J. Hepatol. 62(4), 831–840 (2015).
pubmed: 25463539
doi: 10.1016/j.jhep.2014.11.012
Cisilotto, J. et al. MicroRNA profiles in serum samples from Acute-On-Chronic Liver Failure patients and miR-25-3p as a potential biomarker for survival prediction. Sci. Rep. 10(1), 100 (2020).
pubmed: 31919459
pmcid: 6952390
doi: 10.1038/s41598-019-56630-5
Benz, F., Roy, S., Trautwein, C., Roderburg, C. & Luedde, T. Circulating MicroRNAs as biomarkers for sepsis. Int. J. Mol. Sci. 17(1), 78 (2016).
pubmed: 26761003
pmcid: 4730322
doi: 10.3390/ijms17010078
Cortez-Dias, N. et al. Circulating miR-122-5p/miR-133b ratio is a specific early prognostic biomarker in acute myocardial infarction. Circ. J. 80(10), 2183–2191 (2016).
pubmed: 27593229
doi: 10.1253/circj.CJ-16-0568
Elhendawy, M. et al. MicroRNA signature in hepatocellular carcinoma patients: identification of potential markers. Mol. Biol. Rep. 47, 4945–4953 (2020).
pubmed: 32430845
doi: 10.1007/s11033-020-05521-4
Blaya, D. et al. Profiling circulating microRNAs in patients with cirrhosis and acute-on-chronic liver failure. JHEP Rep. 3(2), 100233 (2021).
pubmed: 33665588
pmcid: 7902550
doi: 10.1016/j.jhepr.2021.100233
Tavabie, O. D. et al. A novel microRNA-based prognostic model outperforms standard prognostic models in patients with acetaminophen-induced acute liver failure. J. Hepatol. 75, 424–434 (2021).
pubmed: 33857547
pmcid: 10668489
doi: 10.1016/j.jhep.2021.03.013
Salehi, S. et al. Human liver regeneration is characterized by the coordinated expression of distinct microRNA governing cell cycle fate. Am. J. Transpl. 13(5), 1282–1295 (2013).
doi: 10.1111/ajt.12183
Salehi, S. et al. Serum MicroRNA signatures in recovery from acute and chronic liver injury and selection for liver transplantation. Liver Transpl. 26(6), 811–822 (2020).
pubmed: 32297687
doi: 10.1002/lt.25781
Takahara, T. et al. Dual expression of matrix metalloproteinase-2 and membrane-type 1-matrix metalloproteinase in fibrotic human livers. Hepatology 26(6), 1521–1529 (1997).
pubmed: 9397993
doi: 10.1002/hep.510260620
Winkler, M. et al. Endothelial GATA4 controls liver fibrosis and regeneration by preventing a pathogenic switch in angiocrine signaling. J. Hepatol. 74(2), 380–393 (2021).
pubmed: 32916216
doi: 10.1016/j.jhep.2020.08.033
Bourbonnais, E. et al. Liver fibrosis protects mice from acute hepatocellular injury. Gastroenterology 142(1), 130–9.e4 (2012).
pubmed: 21945831
doi: 10.1053/j.gastro.2011.09.033
Najafzadeh, B. et al. The oncogenic potential of NANOG: An important cancer induction mediator. J. Cell Physiol. 236(4), 2443–2458 (2021).
pubmed: 32960465
doi: 10.1002/jcp.30063
Chen, T., Du, J. & Lu, G. Cell growth arrest and apoptosis induced by Oct4 or Nanog knockdown in mouse embryonic stem cells: A possible role of Trp53. Mol. Biol. Rep. 39(2), 1855–1861 (2012).
pubmed: 21706347
doi: 10.1007/s11033-011-0928-6
Jeter, C. R. et al. Functional evidence that the self-renewal gene NANOG regulates human tumor development. Stem Cells 27(5), 993–1005 (2009).
pubmed: 19415763
doi: 10.1002/stem.29
Yu, K. Q. et al. Long non-coding RNA ANRIL regulates inflammatory factor expression in ulcerative colitis via the miR-191-5p/SATB1 axis. Inflammation 47(2), 513–529 (2024).
pubmed: 37985573
doi: 10.1007/s10753-023-01925-z
Shihana, F. et al. MicroRNAs signature panel identifies heavy drinkers with alcohol-associated cirrhosis from heavy drinkers without liver injury. Biology 12(10), 1314 (2023).
pubmed: 37887024
pmcid: 10604848
doi: 10.3390/biology12101314
Arroyo, V. et al. The systemic inflammation hypothesis: Towards a new paradigm of acute decompensation and multiorgan failure in cirrhosis. J. Hepatol. 74(3), 670–685 (2021).
pubmed: 33301825
doi: 10.1016/j.jhep.2020.11.048
Costa, D. et al. Systemic inflammation increases across distinct stages of advanced chronic liver disease and correlates with decompensation and mortality. J. Hepatol. 74(4), 819–828 (2021).
pubmed: 33075344
doi: 10.1016/j.jhep.2020.10.004
Naqvi, A. R., Fordham, J. B. & Nares, S. miR-24, miR-30b, and miR-142-3p regulate phagocytosis in myeloid inflammatory cells. J. Immunol. 194(4), 1916–1927 (2015).
pubmed: 25601927
doi: 10.4049/jimmunol.1401893
Saha, B., Momen-Heravi, F., Kodys, K. & Szabo, G. MicroRNA cargo of extracellular vesicles from alcohol-exposed monocytes signals Naive monocytes to differentiate into M2 macrophages. J. Biol. Chem. 291(1), 149–159 (2016).
pubmed: 26527689
doi: 10.1074/jbc.M115.694133
Gierlikowski, W. & Gierlikowska, B. MicroRNAs as regulators of phagocytosis. Cells 11(9), 1380 (2022).
pubmed: 35563685
pmcid: 9106007
doi: 10.3390/cells11091380
Villanueva, C. et al. Carvedilol reduces the risk of decompensation and mortality in patients with compensated cirrhosis in a competing-risk meta-analysis. J. Hepatol. 77, 1014–1025 (2022).
pubmed: 35661713
doi: 10.1016/j.jhep.2022.05.021
Patel, V. C. et al. Rifaximin-α reduces gut-derived inflammation and mucin degradation in cirrhosis and encephalopathy: RIFSYS randomised controlled trial. J. Hepatol. 76(2), 332–342 (2022).
pubmed: 34571050
doi: 10.1016/j.jhep.2021.09.010
Villanueva, C. et al. β blockers to prevent decompensation of cirrhosis in patients with clinically significant portal hypertension (PREDESCI): A randomised, double-blind, placebo-controlled, multicentre trial. Lancet 393(10181), 1597–1608 (2019).
pubmed: 30910320
doi: 10.1016/S0140-6736(18)31875-0
Salehi, S. et al. Rifaximin reduces the incidence of spontaneous bacterial peritonitis, variceal bleeding and all-cause admissions in patients on the liver transplant waiting list. Aliment Pharmacol. Ther. 50(4), 435–441 (2019).
pubmed: 31169941
pmcid: 6816014
doi: 10.1111/apt.15326
Tonon, M. et al. A new clinical and prognostic characterization of the patterns of decompensation of cirrhosis. J. Hepatol. 80(4), 603–609 (2024).
pubmed: 38110003
doi: 10.1016/j.jhep.2023.12.005
Moreau, R. et al. Acute-on-chronic liver failure is a distinct syndrome that develops in patients with acute decompensation of cirrhosis. Gastroenterology 144(7), 1426–1437 (2013).
pubmed: 23474284
doi: 10.1053/j.gastro.2013.02.042
Xiang, X. et al. Interleukin-22 ameliorates acute-on-chronic liver failure by reprogramming impaired regeneration pathways in mice. J Hepatol 72(4), 736–745 (2020).
pubmed: 31786256
doi: 10.1016/j.jhep.2019.11.013
Barber, K. et al. Elective liver transplant list mortality: Development of a United Kingdom end-stage liver disease score. Transplantation 92(4), 469–476 (2011).
pubmed: 21775931
doi: 10.1097/TP.0b013e318225db4d
Piano, S., Bunchorntavakul, C., Marciano, S. & Reddy, K. R. Infections in cirrhosis. Lancet Gastroenterol. Hepatol. https://doi.org/10.1016/S2468-1253(24)00078-5 (2024).
doi: 10.1016/S2468-1253(24)00078-5
pubmed: 39243796
von Elm, E. et al. Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: Guidelines for reporting observational studies. Bmj 335(7624), 806–808 (2007).
doi: 10.1136/bmj.39335.541782.AD
Conn, H. O. et al. Comparison of lactulose and neomycin in the treatment of chronic portal-systemic encephalopathy. A double blind controlled trial. Gastroenterology 72(4 Pt 1), 573–583 (1977).
pubmed: 14049
doi: 10.1016/S0016-5085(77)80135-2
QIAGEN. Qiagen Kit Handbooks. 2020. Accessed online 22/07/2020: https://www.qiagen.com/gb/service-and-support/learning-hub/search-resources/#filters=%7BF321478C-FDDA-437F-BE0B-87001D9936D3%7D .
Blondal, T. et al. Assessing sample and miRNA profile quality in serum and plasma or other biofluids. Methods 59(1), S1-6 (2013).
pubmed: 23036329
doi: 10.1016/j.ymeth.2012.09.015
GeneGo. MetaCore. 2020. Accessed 28 Jun 2020.
Benjamini, Y. & Hochberg, Y. Controlling the false discovery rate—A practical and powerful approach to multiple testing. J. R. Stat. Soc. 57, 289–300 (1995).
doi: 10.1111/j.2517-6161.1995.tb02031.x