The clinical value of plasma microRNA-216 for early identifying the severity of acute pancreatitis_West China Medical Journal

Authors：

DENG Lihui ¹ , ZHANG Xiaoxin ¹ , CHEN Weiwei ² , SHI Na ¹ , MA Yun ¹ , JIANG Kun ¹ , YANG Xiaonan ¹ ,  XIA Qing ¹

1. Department of Integrated Traditional and Western Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, P. R. China;
2. Department of Gastroenterology, Northern Jiangsu People’s Hospital, Yangzhou, Jiangsu 225001, P. R. China;

Corresponding author：

XIA Qing, Email: xiaqing@medmail.com.cn

Keywords：

Acute pancreatitis; Severe acute pancreatitis; MicroRNA-216; Predictor; Biomarker

DOI：

10.7507/1002-0179.201605050

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ObjectiveTo investigate the value of plasma microRNA-216 (miR-216) in patients with acute pancreatitis as a clinical biomarker to early identify severe acute pancreatitis (SAP).MethodsPatients with acute pancreatitis who admitted to the hospital within 48 hours after the onset of disease between September and November 2014 were enrolled in this study. Plasam and clinical data of all the patients were collected. MiR-216 in the plasma was detected using quantitative real time-polymerase chain reaction.ResultsA total of 25 patients were enrolled. The Ct value of plasma miR-216 in SAP patients (32.40±1.43) was significantly upregulated than mild acute pancreatitis (MAP) (35.85±1.91, P<0.05) and moderately severe acute pancreatitis (MSAP) patients (35.90±2.44,P<0.05), respectively. The area under receiver operating characteristic curve for plasmamiR-216 in predicting SAP was 0.792 (P<0.05), which did not differ much from other conventional parameters such as C-reactive protein, urinary nitrogen, and cytokines (P>0.05).ConclusionPlasma miR-216 is significantly upregulated in SAP patients compared with MAP and MSAP, but it shows no inferior efficiency than the investigated conventional predictors in predicting SAP.

Citation： DENG Lihui, ZHANG Xiaoxin, CHEN Weiwei, SHI Na, MA Yun, JIANG Kun, YANG Xiaonan, XIA Qing. The clinical value of plasma microRNA-216 for early identifying the severity of acute pancreatitis. West China Medical Journal, 2018, 33(5): 550-554. doi: 10.7507/1002-0179.201605050 Copy

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7.	Ranson JH, Pasternack BS. Statistical methods for quantifying the severity of clinical acute pancreatitis. J Surg Res, 1977, 22(2): 79-91.
8.	Knaus WA, Draper EA, Wagner DP, et al. APACHE-Ⅱ: a severity of disease classification-system. Crit Care Med, 1985, 13(10): 818-829.
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15.	Sathyanarayan G, Garg PK, Prasad H, et al. Elevated level of interleukin-6 predicts organ failure and severe disease in patients with acute pancreatitis. J Gastroenterol Hepatol, 2007, 22(4): 550-554.
16.	Bartel DP. MicroRNAs: genomics, biogenesis, mechanism, and function. Cell, 2004, 116(2): 281-297.
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28.	Endo K, Weng HC, Kito N, et al. miR-216a and miR-216b as markers for acute phased pancreatic injury. Biomed Res, 2013, 34(4): 179-188.
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31.	Goodwin D, Rosenzweig B, Zhang J, et al. Evaluation of miR-216a and miR-217 as potential biomarkers of acute pancreatic injury in rats and mice. Biomarkers, 2014, 19(6): 517-529.
32.	Blenkiron C, Askelund KJ, Shanbhag ST, et al. MicroRNAs in mesenteric lymph and plasma during acute pancreatitis. Ann Surg, 2014, 260(2): 341-347.
33.	Liu P, Xia L, Zhang WL, et al. Identification of serum microRNAs as diagnostic and prognostic biomarkers for acute pancreatitis. Pancreatology, 2014, 14(3): 159-166.
34.	Altaf K, Lane B, Rainbow L, et al. Micro RNA profiling in acute pancreatitis. Pancreas, 2013, 42(8): 1337.
35.	An F, Zhan Q, Xia M, et al. From moderately severe to severe hypertriglyceridemia induced acute pancreatitis: circulating miRNAs play role as potential biomarkers. PLoS One, 2014, 9(11): e111058.
36.	周慧明, 付萍, 杜丹廷, 等. 血清胃肠激素及循环血 microRNA 与急性胰腺炎的相关性. 疑难病杂志, 2015, 14(5): 462-467.
37.	傅冬阳, 黄元林, 陈建洪. miRNA 在急性胰腺炎诊断和评估病情严重程度的作用. 临床和实验医学杂志, 2016, 14(14): 1399-1401.
38.	Cho JH, KimTN, Chung HH, et al. Comparison of scoring systems in predicting the severity of acute pancreatitis. World J Gastroenterol, 2015, 21(8): 2387-2394.

1. Yadav D, Lowenfels AB. The epidemiology of pancreatitis and pancreatic cancer. Gastroenterology, 2013, 144(6): 1252-1261.
2. Peery AF, Dellon ES, Lund J, et al. Burden of gastrointestinal disease in the United States: 2012 update. Gastroenterology, 2012, 143(5): 1179-1187.e1.
3. Banks PA, Bollen TL, Dervenis C, et al. Classification of acute pancreatitis--2012: revision of the Atlanta classification and definitions by international consensus. Gut, 2013, 62(1): 102-111.
4. Tenner S, Baillie J, Dewitt J, et al. American college of gastroenterology guideline: management of acute pancreatitis. Am J Gastroenterol, 2013, 108(9): 1400-1416.
5. Petrov MS, Shanbhag S, Chakraborty MA, et al. Organ failure and infection of pancreatic necrosis as determinants of mortality in patients with acute pancreatitis. Gastroenterology, 2010, 139(3): 813-820.
6. Tenner S. Initial management of acute pancreatitis: critical issues during the first 72 hours. Am J Gastroenterol, 2004, 99(12): 2489-2494.
7. Ranson JH, Pasternack BS. Statistical methods for quantifying the severity of clinical acute pancreatitis. J Surg Res, 1977, 22(2): 79-91.
8. Knaus WA, Draper EA, Wagner DP, et al. APACHE-Ⅱ: a severity of disease classification-system. Crit Care Med, 1985, 13(10): 818-829.
9. Wu BU, Johannes RS, Sun X, et al. The early prediction of mortality in acute pancreatitis: a large population-based study. Gut, 2008, 57(12): 1698-1703.
10. Balthazar EJ, Robinson DL, Megibow AJ, et al. Acute pancreatitis: value of CT in establishing prognosis. Radiology, 1990, 174(2): 331-336.
11. Mortele KJ, Wiesner W, Intriere L, et al. A modified CT severity index for evaluating acute pancreatitis: improved correlation with patient outcome. Pancreas, 2004, 183(5): 1261-1265.
12. Brown A, Orav J, Banks PA. Hemoconcentration is an early marker for organ failure and necrotizing pancreatitis. Pancreas, 2000, 20(4): 367-372.
13. Wu BU, Bakker OJ, Papachristou GI, et al. Blood urea nitrogen in the early assessment of acute pancreatitis: an international validation study. Arch Intern Med, 2011, 171(7): 669-676.
14. Pezzilli R, Zerbi A, Di Carlo V, et al. Practical guidelines for acute pancreatitis. Pancreatology, 2010, 10(5): 523-535.
15. Sathyanarayan G, Garg PK, Prasad H, et al. Elevated level of interleukin-6 predicts organ failure and severe disease in patients with acute pancreatitis. J Gastroenterol Hepatol, 2007, 22(4): 550-554.
16. Bartel DP. MicroRNAs: genomics, biogenesis, mechanism, and function. Cell, 2004, 116(2): 281-297.
17. Kloosterman WP, Plasterk RH. The diverse functions of microRNAs in animal development and disease. Dev Cell, 2006, 11(4): 441-450.
18. Weber JA, Baxter DH, Zhang SL, et al. The MicroRNA spectrum in 12 body fluids. Clin Chem, 2010, 56(11): 1733-1741.
19. Chen X, Ba Y, Ma L, et al. Characterization of microRNAs in serum: a novel class of biomarkers for diagnosis of cancer and other diseases. Cell Res, 2008, 18(10): 997-1006.
20. Valadi H, Ekström K, Bossios A, et al. Exosome-mediated transfer of mRNAs and microRNAs is a novel mechanism of genetic exchange between cells. Nat Cell Biol, 2007, 9(6): 654-659.
21. Arroyo JD, Chevillet JR, Kroh EM, et al. Argonaute2 complexes carry a population of circulating microRNAs independent of vesicles in human plasma. Proc Natl Acad Sci USA, 2011, 108(12): 5003-5008.
22. Shapira I, Oswald M, Lovecchio J, et al. Circulating biomarkers for detection of ovarian cancer and predicting cancer outcomes. Br J Cancer, 2014, 110(4): 976-983.
23. Sood P, Krek A, Zavolan M, et al. Cell-type-specific signatures of microRNAs on target mRNA expression. Proc Natl Acad Sci USA, 2006, 103(8): 2746-2751.
24. Szafranska AE, Davison TS, John J, et al. MicroRNA expression alterations are linked to tumorigenesis and non-neoplastic processes in pancreatic ductal adenocarcinoma. Oncogene, 2007, 26(30): 4442-4452.
25. Baskerville S, Bartel DP. Microarray profiling of microRNAs reveals frequent coexpression with neighboring miRNAs and host genes. RNA, 2005, 11(3): 241-247.
26. Shingara J, Keiger K, Shelton J, et al. An optimized isolation and labeling platform for accurate microRNA expression profiling. RNA, 2005, 11(9): 1461-1470.
27. Kong XY, Du YQ, Li L, et al. Plasma miR-216a as a potential marker of pancreatic injury in a rat model of acute pancreatitis. World J Gastroenterol, 2010, 16(36): 4599-4604.
28. Endo K, Weng HC, Kito N, et al. miR-216a and miR-216b as markers for acute phased pancreatic injury. Biomed Res, 2013, 34(4): 179-188.
29. Zhang J, Ning XF, Cui W, et al. Transforming growth factor (TGF)-beta-induced microRNA-216a promotes acute pancreatitis via Akt and TGF-beta pathway in mice. Dig Dis Sci, 2015, 60(1): 127-135.
30. Usborne AL, Smith AT, Engle SK, et al. Biomarkers of exocrine pancreatic injury in 2 rat acute pancreatitis models. Toxicol Pathol, 2014, 42(1): 195-203.
31. Goodwin D, Rosenzweig B, Zhang J, et al. Evaluation of miR-216a and miR-217 as potential biomarkers of acute pancreatic injury in rats and mice. Biomarkers, 2014, 19(6): 517-529.
32. Blenkiron C, Askelund KJ, Shanbhag ST, et al. MicroRNAs in mesenteric lymph and plasma during acute pancreatitis. Ann Surg, 2014, 260(2): 341-347.
33. Liu P, Xia L, Zhang WL, et al. Identification of serum microRNAs as diagnostic and prognostic biomarkers for acute pancreatitis. Pancreatology, 2014, 14(3): 159-166.
34. Altaf K, Lane B, Rainbow L, et al. Micro RNA profiling in acute pancreatitis. Pancreas, 2013, 42(8): 1337.
35. An F, Zhan Q, Xia M, et al. From moderately severe to severe hypertriglyceridemia induced acute pancreatitis: circulating miRNAs play role as potential biomarkers. PLoS One, 2014, 9(11): e111058.
36. 周慧明, 付萍, 杜丹廷, 等. 血清胃肠激素及循环血 microRNA 与急性胰腺炎的相关性. 疑难病杂志, 2015, 14(5): 462-467.
37. 傅冬阳, 黄元林, 陈建洪. miRNA 在急性胰腺炎诊断和评估病情严重程度的作用. 临床和实验医学杂志, 2016, 14(14): 1399-1401.
38. Cho JH, KimTN, Chung HH, et al. Comparison of scoring systems in predicting the severity of acute pancreatitis. World J Gastroenterol, 2015, 21(8): 2387-2394.

West China Medical Journal

The clinical value of plasma microRNA-216 for early identifying the severity of acute pancreatitis

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