Abstract
BackgroundDysregulated microRNAs (miRNAs) have been identified to be associated with various diseases. However, the relationship between serum miRNAs and the severity of acute pancreatitis (AP) remains unknown.MethodsOne hundred twenty-five patients were enrolled and classified into mild AP (MAP, n = 45), moderate severe AP (MSAP, n = 42) and severe AP (SAP, n = 38) groups according to Atlanta 2012. TaqMan low density array (TLDA) technology was initially used in three pooled serum samples from 10 MAP, 10SAP and 10 healthy controls (HCs). The selected miRNAs were subsequently measured individually using quantitative real-time polymerase chain reaction (qRT-PCR) assay.ResultsThe TLDA identified 395 miRNAs were differentially expressed between the AP patients and the HCs, among which 12 miRNAs were selected for further evaluation. qRT-PCR confirmed that miR-19a, miR-143 and miR-374-5p were significantly upregulated in AP patients (p < 0.001) and increased with disease severity (p < 0.05). Receiver operating characteristic (ROC) curve analysis revealed that three miRNAs could distinguish the SAP patients from the HCs (area under ROC, AUC 0.940–0.943), MAP (AUC 0.754–0.782), and moderate severe AP (MSAP, AUC 0.670–0.686). In addition, multivariate logistic regression revealed that increased serum miR-143 was an independent predictor of developing SAP among MSAP and SAP patients (OR = 6.8, 95% CI 2.0–22.7) and among all AP patients (OR = 4.5, 95% CI 1.8–10.9).ConclusionsThese data indicate that an expression signature of three serum miRNAs holds potential as a novel biomarker for the early prediction of SAP.
Highlights
Acute pancreatitis (AP) is an inflammatory disorder of the pancreas with highly variable clinical manifestations and attacks 13 to 45 per 100, 000 people every year [1]
One hundred and twenty-five patients who were admitted within 48 h of the onset of pain were enrolled in the present study. They were classified into mild AP (MAP) (n = 45), moderately severe AP (MSAP) (n = 42) and severe AP (SAP) (n = 38) groups based on the Atlanta 2012
Increased length of hospital stay, intensive care unit (ICU) admission, and length of ICU stay were observed in SAP compared with MSAP (p < 0.001)
Summary
Acute pancreatitis (AP) is an inflammatory disorder of the pancreas with highly variable clinical manifestations and attacks 13 to 45 per 100, 000 people every year [1]. Most of the patients manifest a self-limiting course, 10–20% of them may experience a severe process with a high mortality reaching up to 30–50% in cases with severe AP (SAP) [1]. Prediction of disease development is fundamental to determine intensive treatment to improve outcomes. There are some clinic biochemical scoring systems, such as APACHE II and the Ranson system. They are too complex to keep them from being routinely applied. Dysregulated microRNAs (miRNAs) have been identified to be associated with various diseases. The relationship between serum miRNAs and the severity of acute pancreatitis (AP) remains unknown
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