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Early diagnosis of serum sICAM‑1 and sRAGE in severe acute pancreatitis, and efficacy and prognosis prediction of glutamine combined with ulinastatin

  • Authors:
    • Lini Shan
    • Shixian Bai
    • Min Zhao
  • View Affiliations

  • Published online on: February 5, 2021     https://doi.org/10.3892/etm.2021.9755
  • Article Number: 324
  • Copyright: © Shan et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

Acute pancreatitis (AP) is a common gastrointestinal disease that can become severe, so that intensive care may be required. This study was to examine serum soluble intercellular adhesion molecule‑1 (sICAM‑1), and soluble receptor for advanced glycation end products (sRAGE) for efficacy and prognosis prediction of glutamine (Glu) combined with ulinastatin (UTI) on severe acute pancreatitis (SAP). Fifty‑four mild acute pancreatitis (MAP) patients admitted to Yidu Central Hospital of Weifang were selected as the MAP group (MAPG), 80 with SAP were divided as the SAP group (SAPG), and 60 healthy individuals who came to Yidu Central Hospital of Weifang for physical examination during the same period were included to the normal group (NG). Serum sICAM‑1 and sRAGE were measured and their predictive value of efficacy and prognosis were analyzed. In view of the treatment effectiveness and prognosis, the patients were divided into effective group (EG) and ineffective group (IG), good prognosis group (GPG) and poor prognosis group (PPG). The levels of D‑lactate, diamine oxidase (DAO), endotoxin and T‑lymphocyte subsets (CD3+, CD4+, CD8+ and CD4+/CD8+) were measured and the changes before and after treatment were analyzed. The AUC values of NG and MAPG, NG and SAPG, MAPG and SAPG were 0.857, 0.939 and 0.856, respectively, those of predicting efficacy were 0.920 and 0.874, respectively, and those of poor prognosis in the SAPG were 0.914 and 0.879, respectively. In the SAPG, D‑lactate, DAO, endotoxin and CD8+ decreased markedly after treatment, but CD3+, CD4+, and CD4+/CD8+ were opposite. SICAM‑1 and sRAGE were also independent risk factors for poor prognosis in the SAPG. Serum sICAM‑1 and sRAGE have high predictive value for early diagnosis, efficacy and prognosis of Glu combined with UTI.

Introduction

Acute pancreatitis (AP) is the third most familiar gastrointestinal disease with a rising morbidity, with 275,000 cases admitted in the States (1,2). The clinical manifestations are mild, self-limited local inflammation, or severe systemic inflammatory reaction. Severe AP (SAP) patients may require intensive care (3). Additionally, 15-25% AP patients are likely to progress to SAP, which is manifested as pancreatic necrosis that can lead to various complications, and its mortality is as high as 10-20% (4). Early intervention for SAP patients is helpful to improve their survival. However, the assessment system of AP severity and imaging diagnosis requires at least 48 h to ensure accuracy. Furthermore, the detection of laboratory indicators cannot effectively cope with the clinical heterogeneity of SAP patients (5). Therefore, exploring new markers for the early diagnosis of SAP is crucial. At present, the treatment methods for AP include liquid therapy, nutrition therapy, antibiotic therapy and surgical intervention (6). The determination of a clinical treatment plan is generally based on the etiology of patients and possible complications to control the disease (6). The pathological mechanism of AP involves a series of comprehensive processes such as immune system mediation, and complex cascade reaction of inflammatory activation (7). Based on the clinical characteristics and pathological mechanism of AP patients, examination of the therapeutic targets, as well as relevant diagnostic, therapeutic and prognostic evaluation markers is imperative.

Glutamine (Glu) is a functional essential amino acid that can regulate key biological functions, and it is helpful in regulating intestinal mucosal barrier function and relieving immunosuppression (8,9). A study of Glu in acute necrotizing pancreatitis (ANP) rats by Alhan et al explained that using Glu alone significantly reduced the abnormal pathological indexes of rats, suggesting that it could treat AP (10). As an immune nutrient, Glu can be used for nutritional intervention during AP attacks to relieve the inflammatory state of the disease. Its intravenous infusion reduces infection complications and the mortality of SAP patients (11,12). Ulinastatin (UTI) is a trypsin inhibitor obtained by separation and purification of human urine, which can stimulate intestinal mucosal dysfunction and immune function recovery in SAP patients (13,14). Previous findings have shown that UTI also reduces the level of inflammatory cytokines and inhibits oxidative stress, which can balance the permeability of vascular endothelial cells through the RhoA/ROCK signaling pathway to start an anti-inflammatory mechanism (15,16). Soluble intercellular adhesion molecule-1 (sICAM-1) is a member of the immunoglobulin superfamily. Its high expression abnormality is related to human diseases such as gastric cancer and pancreatic cancer, and it has certain predictive value for pancreatic necrosis and death in AP patients (17,18). Soluble receptor for advanced glycosylation end products (sRAGE) is a soluble splice variant of the full-length receptor RAGE. It participates in the pathological mechanism of acute inflammation, and can be used as an effective marker for early identification of SAP patients (19,20).

SICAM-1 and sRAGE are soluble molecules involved in pancreatic-related diseases, but there are few studies on the diagnosis, efficacy and prognosis evaluation of AP patients. This study was to determine the diagnostic, therapeutic and prognostic value of the two on AP with Glu and UTI by detecting their serum expression.

Materials and methods

General data

Totally 134 AP patients treated in the Department of Gastroenterology of the Yidu Central Hospital of Weifang from March 2017 to June 2019 were selected as AP group (APG), comprising 74 male and 60 female patients. All of them were treated with Glu combined with UTI. Inclusion criteria: AP was diagnosed according to the diagnostic criteria of clinical practice guidelines, and further classified as mild acute pancreatitis (MAP) and SAP (21); Acute Physiology and Chronic Health Evaluation (APACHE) II Score (22) was not less than 8; patients were informed and willing to cooperate with this research; patients had no history of allergy to this therapeutic drug. Exclusion criteria: Patients had malignancy, infectious or allergic diseases; patients had taken drugs that influenced the relevant indicators for 6 months; patients had communication or cognitive disorders; patients died within 7 days after admission.

The 134 patients were subdivided into the MAP and SAP groups, each group comprising 34 and 40 male, and 20 and 40 female patients, respectively. Another 60 healthy individuals who came to the Yidu Central Hospital of Weifang for physical examination during the same period were selected as the normal group (NG), comprising 35 males and 25 females. They were (45.76±5.84) years old on average. We then divided AP patients into the effective (EG) and ineffective (IG) groups in light of the different therapeutic effect of patients; 103 were effective and 31 were ineffective. Based on whether SAP patients died within 30 days, 65 survivals were included in the good prognosis group (GPG) and the dead (15 individuals) in the poor prognosis group (PPG).

All the subjects and their families agreed to participate in the study and signed the written informed consent form. The study was approved by the Hospital Ethics Committee of Yidu Central Hospital (Weifang, China).

Treatment methods

Patients in the APG were treated with Glu combined with UTI. Glu (KS-01055, Shanghai Keshun Biotechnology Co., Ltd.) (0.4 g/kg) was injected intravenously once a day, while UTI (Shanghai Yubo Biotechnology Co., Ltd.; cat. no. CP-140785) of 105 units was dissolved in 0.5 liter glucose injection for intravenous drip once a day for two weeks. Edaravone combined with UTI was used to treat any patients who did not respond to the Glu combined with UTI treatment.

Assessment of efficacy

Effectiveness was assessed as indicated below: Markedly effective: After treatment, the clinical symptoms of patients were improved significantly; CT examination showed that morphology of abdominal pancreas was normal, blood/urine amylase and white blood cell count and other laboratory indicators returned to normal; effective: After treatment, the clinical symptoms of patients were relieved; CT examination showed that the abdominal pancreatic edema was relieved, and the laboratory indexes such as blood/urine amylase and white blood cell count were improved; ineffective: There was no marked improvement in clinical symptoms after treatment; CT examination showed no obvious improvement in abdominal pancreatic edema, and no marked decrease in laboratory indicators such as blood/urine amylase and white blood cell count. The total effective rate was the percentage of patients with marked effective and effective efficacy in the total number.

Index detection

Altogether 5 ml venous blood was collected from patients in the APG on an empty stomach in the morning of the next day after admission (for efficacy evaluation) and 7 days after treatment (for prognosis evaluation), centrifuged 10 min at 1,500 x g at 4˚C and the serum and plasma were separated and placed in a refrigerator at -70˚C for standby. Serum sICAM-1 and sRAGE levels were determined by enzyme-linked immunosorbent assay (ELISA) (23), and this step strictly adhered to the protocol of the human sICAM-1 and sRAGE ELISA kits (China Shanghai Guandao Bioengineering Co., Ltd., GD-E001264474, GD-E001271747). Serum D-lactic acid and diamine oxidase (DAO) levels were determined by spectrophotometry (D-lactic acid, DAO spectrophotometric kits were purchased from Shanghai Yaji Biotechnology Co., Ltd., YS-1132K, YS-1358K), and plasma endotoxin levels were tested via tachypleus amebocyte lysate (endotoxin limulus test kits were provided by Shanghai Xinfan Biotechnology Co., Ltd., XFNDS001). The peripheral blood T-lymphocyte subsets (CD3+, CD4+, CD8+ and CD4+/CD8+) were measured via flow cytometry (China Changzhou Beamdiag Biotechnology Co., Ltd.; cat. no. 1026).

Statistical analysis

The experimental data were statistically analyzed via SPSS20.0 [Bioeasy (Beijing) Technology Co., Ltd.], and the pictures were drawn via GraphPad Prism 6. The counting data were expressed by number of cases/percentage [n (%)] and the comparison between two groups was analyzed via Chi-square test. The measurement data were represented as mean ± standard deviation and compared via unpaired t-test. The comparison before and after treatment was assessed via paired t-test, and univariate analysis was employed for comparison between multiple groups. The risk factors for poor prognosis in SAP patients were analyzed via Logistic regression analysis. P<0.05 denotes there are statistical differences.

Results

General data

There was no statistical difference in sex, age, average age, body mass index (BMI), systolic blood pressure, diastolic blood pressure, history of drinking or smoking, place of residence and other aspects between the three groups (P>0.05). Thereinto, the average APACHE II scores of the MAP group (MAPG) and the SAP group (SAPG) were (10.87±2.38) and (20.36±4.13), respectively (Table I).

Table I

Comparison of general data [n (%), mean ± SD].

Table I

Comparison of general data [n (%), mean ± SD].

FactorsNormal group (n=60)MAP group (n=54)SAP group (n=80)χ2FtP-value
Sex   1.878  0.296
     Male35 (58.33)34 (55.22)40 (50.00)    
     Female25 (41.67)20 (44.78)40 (50.00)    
Age (years)   3.089  0.187
     <5026 (43.33)25 (52.24)45 (56.25)    
     ≥5034 (56.67)29 (47.76)35 (43.75)    
     Average age44.55±5.3744.98±4.1546.16±4.62 2.181 0.116
BMI (kg/m2)21.87±2.5521.78±2.1022.45±1.98 1.901 0.152
Systolic blood pressure (mmHg)125.09±10.13127.88±8.26126.84±9.73 1.280 0.280
Diastolic blood pressure (mmHg)79.62±7.1082.03±8.2081.56±7.16 1.759 0.175
History of drinking   1.878  0.296
     No35 (58.33)27 (44.78)33 (41.25)    
     Yes25 (41.67)27 (55.22)47 (58.75)    
History of smoking   3.390  0.170
     No36 (60.00)26 (47.76)38 (47.50)    
     Yes24 (40.00)28 (52.24)42 (52.50)    
Place of residence   1.103  0.437
Countryside21 (35.00)24 (43.28)34 (42.50)    
Cities and towns39 (65.00)30 (56.72)46 (57.50)    
APACHE II scores-10.87±2.3820.36±4.13  15.251<0.001

[i] MAP, mild acute pancreatitis; SAP, severe acute pancreatitis; BMI, body mass index.

Expression of serum sICAM-1 and sRAGE

The serum sICAM-1 and sRAGE levels in the SAPG were markedly higher than those in the MAPG and the NG, and the levels in the MAPG were markedly higher than those in the NG, with statistically marked differences (P<0.05). Before treatment, the two levels in the the SAPG were markedly higher than those in the MAPG. After treatment, the levels in the SAPG were dramatically lower than those before treatment, but still higher than those in the MAPG, with statistically marked differences (P<0.05) (Fig. 1).

Diagnostic value of serum sICAM-1 and sRAGE

After conducting ROC curve analysis, we found that the AUC value of serum sICAM-1 in diagnosing NG and MAPG was 0.799, and the best cut-off value was 1.12 µg/ml; the AUC value of serum sRAGE in diagnosing NG and MAPG was 0.786, and the best cut-off value was 393.10 pg/ml; the AUC value of serum sICAM-1 combined with sRAGE in diagnosing NG and MAPG was 0.857, and the best cut-off value was 0.61; AUC value of serum sICAM-1 in diagnosing NG and SAPG was 0.879, and the best cut-off value was 1.17 µg/ml; AUC value of serum sRAGE in diagnosing NG and SAPG was 0.844, and the best cut-off value was 372.00 pg/ml; AUC value of serum sICAM-1 combined with sRAGE in diagnosing NG and SAPG was 0.939, and the best cut-off value was 0.55; AUC value of serum sICAM-1 in diagnosing MAPG and SAPG was 0.783, and the best cut-off value was 1.70 µg/ml; AUC value of serum sRAGE in diagnosing MAPG and SAPG was 0.790, and the best cut-off value was 494.70 pg/ml; AUC value of serum sICAM-1 combined with sRAGE in diagnosing MAPG and SAPG was 0.856, and the best cut-off value was 0.57 (Fig. 2, Table II).

Table II

ROC parameters of each group.

Table II

ROC parameters of each group.

GroupIndicatorsAUC95% CIStandard errorCut-off valueSensitivity (%)Specificity (%)
NG and MAPGsICAM-10.7990.714-0.8850.0441.12 µg/ml63.7993.33
 sRAGE0.7860.702-0.8710.043393.10 pg/ml60.3491.67
 sICAM-1+sRAGE0.8570.787-0.9270.0360.6168.9796.67
NG and SAPGsICAM-10.8790.815-0.9440.0331.17 µg/ml82.5095.00
 sRAGE0.8440.777-0.9120.035372.00 pg/ml72.5090.00
 sICAM-1+sRAGE0.9390.897-0.9810.0210.5587.5096.67
MAPG and SAPGsICAM-10.7830.706-0.8610.0401.70 µg/ml68.7577.59
 sRAGE0.7900.714-0.8660.039494.70 pg/ml57.5089.66
 sICAM-1+sRAGE0.8560.791-0.9200.0330.5782.5081.03
Changes of intestinal mucosal barrier function before and after treatment

Before treatment, the concentrations of D-lactic acid, DAO and endotoxin in the SAPG were dramatically higher than those in the MAPG. After treatment, the concentrations in the SAPG were obviously lower than those before treatment, but still higher than those in the MAPG. The differences were statistically obvious (P<0.05) (Fig. 3).

Changes of T-lymphocyte subsets before and after treatment

Prior to treatment, CD3+, CD4+, CD4+/CD8+ in the SAPG were remarkably lower than those in the MAPG. After treatment, the three in the SAPG were dramatically higher than those before treatment, but still lower than those in the MAPG, while CD8+ results were contrary to the other three. The difference was statistically marked (P<0.05) (Fig. 4).

Predictive value of serum sICAM-1 and sRAGE on efficacy

We divided AP patients into the EG and IG according to different efficacy of patients, including 103 cases with effective treatment (43 markedly effective and 60 effective cases) and 31 with ineffective treatment. The results showed that the sICAM-1 and sRAGE levels in serum of patients in EG were obviously lower than those in IG before treatment, and the difference was statistically marked (P<0.05). ROC analysis manifested that the predicted AUC of sICAM-1 for ineffective treatment was 0.920, and the predicted AUC of sRAGE for ineffective treatment was 0.874, all of which had good predictive value (Fig. 5).

Prognostic value of serum sICAM-1 and sRAGE in SAP patients

Based on whether SAP patients died within 30 days, 65 survivals were included in the GPG and the dead (15 individuals) were included in the PPG. After detecting the sICAM-1 and sRAGE levels in the serum of patients in both groups, we found that the levels in the serum of the GPG after treatment were markedly lower than those in the PPG, with statistically significant differences (P<0.05). After drawing ROC curve, we found that sICAM-1 had a good predictive value (0.914) for poor therapeutic prognosis in SAP patients and sRAGE also had a good predictive value (0.879) for their poor therapeutic prognosis (Fig. 6).

Univariate analysis of poor prognosis in SAP patients

After univariate analysis of patients in the GPG and the PPG, we found that there was no obvious difference in the average age, sex, etiology and other aspects (P>0.05). However, there were marked differences in multiple organ failure (MOF), acute respiratory distress syndrome (ARDS), acute renal failure (ARF), shock, liver function damage, sICAM-1, and sRAGE (P<0.05) (Table III).

Table III

Univariate analysis of poor prognosis in SAP patients [n (%), mean ± SD].

Table III

Univariate analysis of poor prognosis in SAP patients [n (%), mean ± SD].

FactorGood prognosis group (GPG) (n=65)Poor prognosis group (PPG) (n=15) χ2/tP-value
Average age (years)  3.0960.079
     <4538 (58.46)5 (33.33)  
     ≥4527 (41.54)10 (66.67)  
Sex  1.1410.286
     Male48 (73.85)9 (60.00)  
     Female17 (26.15)6 (40.00)  
Etiology  2.8810.237
     Biliary pancreatitis17 (26.15)7 (46.67)  
     Alcoholic pancreatitis12 (18.46)3 (20.00)  
     Rests36 (55.39)5 (33.33)  
MOF  13.396<0.001
     No10 (15.38)9 (60.00)  
     Yes55 (84.62)6 (40.00)  
ARDS  5.9700.015
     No59 (90.77)10 (66.67)  
     Yes6 (9.23)5 (33.33)  
ARF  19.704<0.001
     No62 (95.38)8 (53.33)  
     Yes3 (4.62)7 (46.67)  
Shock  4.8670.027
     No58 (89.23)10 (66.67)  
     Yes7 (10.77)5 (33.33)  
Liver function damage  12.062<0.001
     No54 (83.08)6 (40.00)  
     Yes11 (16.92)9 (60.00)  
sICAM-1 (µg/ml)0.99±0.371.80±0.517.091<0.001
sRAGE (pg/ml)334.84±100.98475.16±150.394.394<0.001
Multivariate analysis of poor prognosis in SAP patients

We analyzed MOF, ARDS, ARF, shock, liver function damage, sICAM-1, and sRAGE, and listed them as dependent variables for assignment. Whether there was a poor prognosis was taken as dependent variables, and logistic regression model was used for multivariate analysis. The results revealed that MOF, ARDS, ARF, shock, liver function damage, sICAM-1, and sRAGE were independent risk factors for poor prognosis (Tables IV and V).

Table IV

Multivariate logistic regression analysis assignment.

Table IV

Multivariate logistic regression analysis assignment.

FactorVariableAssignment
MOFX1No=0, yes=1
ARDSX2No=0, yes=1
ARFX3No=0, yes=1
ShockX4No=0, yes=1
Liver function damageX5No=0, yes=1
sICAM-1 (µg/ml)X6The data belong to continuous variables and are analyzed with original data.
sRAGE (pg/ml)X7The data belong to continuous variables and are analyzed with original data.

Table V

Multivariate analysis of poor prognosis in patients with ASP.

Table V

Multivariate analysis of poor prognosis in patients with ASP.

FactorβSEWaldP-valueOR95% CI
MOF0.1690.0774.9970.0231.9621.087-1.347
ARDS0.6210.2526.8350.0161.8321.103-2.874
ARF1.1610.5074.7680.0192.0131.348-5.371
Shock0.3380.1089.9350.0321.3991.137-1.736
Liver function damage0.0200.0663.6920.0201.3891.021-1.710
sICAM-1 (µg/ml)1.2470.5074.7680.0013.2011.235-8.672
sRAGE (pg/ml)0.7560.2986.5840.0122.2171.231-3.816

[i] MOF, multiple organ failure; ARDS, acute respiratory distress syndrome; ARF, acute renal failure; sICAM-1, soluble intercellular adhesion molecule-1; sRAGE, soluble receptor for advanced glycation end products.

Discussion

AP is an acute abdominal disease that can affect the function of multiple organs from local pancreatic damage. It is caused by pancreatic duct blockage, alcoholism, cationic trypsinogen gene mutation and other factors (24,25). The minimal organ dysfunction accompanying MAP causes frequent attacks of AP, which may eventually progress to SAP or even pancreatic cancer (26). SAP is a severe acute inflammatory reaction of AP. The onset symptom is severe acute abdominal pain, and the prognosis is often poor (27). The study aimed to ameliorate the poor prognosis of SAP.

AP patients were treated by Glu combined with UTI. We collected the serum of patients after admission (before treatment) to evaluate the predictive value of sICAM-1 and sRAGE on efficacy, which had important guiding value for the matching degree and adaptability of patients before treatment. In addition, we collected the serum levels of sICAM-1 and sRAGE 7 days after treatment to analyze their predictive value for the prognosis of SAP patients under this treatment, which was of great significance to evaluate their potential as prognostic indicators for those under the treatment of Glu combined with UTI. Glu is a crucial free amino acid for maintaining intestinal mucosal barrier function and regulating immune response in human body. Based on SAP's large loss of UTI in vivo (28), we used Glu to supplement exogenous nutrition for patients. It was reported that UTI could repair SAP tissue damage and maintain immune homeostasis by regulating regulatory T cells (29). However, for AP patients, prediction of the severity of the disease and the efficacy of drug therapy still had timeliness and heterogeneity. It was necessary to detect other indicators to predict the condition, efficacy and prognosis of patients, so as to timely change the treatment plan and improve their prognosis. ICAM-1 is a cell surface protein that can participate in cell adhesion, inflammation, immune response and biological processes related to cancer. sICAM-1 is a soluble form of ICAM-1 and plays an immunomodulatory role due to its binding with antigen 1 molecule tied to lymphocyte function (30,31).

RAGE is a member of the pattern recognition receptor family, which can activate the inflammation regulation pathway by recognizing its ligand, and mediate cell migration, adhesion and production of pro-inflammatory molecules. As its soluble receptor, sRAGE's high expression is relevant to ligand accumulation at the injured site (32). Zhao et al (20) confirmed that the sRAGE expression in SAP patients was obviously higher than that of moderate MAP group (MSAPG), MAPG and healthy control group (HCG). AUC of sRAGE for predicting AP severity was 0.8304, and the sensitivity and specificity were 91 and 81%, respectively, suggesting that sRAGE had potential as an early diagnostic marker.

This research revealed that the serum sICAM-1 and sRAGE expression in the SAPG, MAPG and NG decreased markedly in turn. After treatment, the expression in the SAPG decreased compared with that before treatment, but was still higher than that in the MAPG, indicating that the two had potential value for early identification of AP disease. AUC values of serum sICAM-1 and sRAGE for combined diagnosis of NG and MAPG, NG and SAPG, MAPG and SAPG were 0.857, 0.939 and 0.856, respectively, suggesting that serum sICAM-1 and sRAGE had higher predictive value for the combined diagnosis of AP patients and had the highest discriminating ability for NG and SAPG. After treatment, the injury indexes of intestinal mucosal barrier such as D-lactic acid, diamine oxidase (DAO) and endotoxin in the SAPG and the MAPG decreased obviously compared with those before treatment, but the indexes in the SAPG were higher than those in the MAPG, which indicated that Glu combined with UTI had different repair abilities for intestinal mucosal barrier in AP patients. Our immune function index test manifested that CD3+, CD4+, and CD4+/CD8+ in the SAPG and the MAPG were remarkably higher after treatment than before treatment, but the index in the SAPG was lower than that in the MAPG, while CD8+ was opposite, indicating that Glu combined with UTI had improved immune function of AP patients to varying degrees. Research on efficacy prediction indicated that the sICAM-1 and sRAGE levels in the serum of patients in the EG were markedly lower than those in the IG before treatment. AUC of sICAM-1 and sRAGE for predicting ineffective treatment were 0.920 and 0.874, respectively, which meant that the two had high predictive value for efficacy. Research on prognosis represented that the levels of serum sICAM-1 and sRAGE of patients in the GPG after treatment were dramatically lower than those in the PPG. AUC of sICAM-1 and sRAGE for predicting poor prognosis after treatment were 0.914 and 0.879, respectively, which indicated that the two had high predictive value. Park et al (33) suggested that the AUC of APACHE II score for differentiating MAP from SAP and predicting the adverse prognosis of AP were 0.800 and 0.870, respectively. We believe that serum sICAM-1 and sRAGE can play a great role in this aspect if they are used as biological complementary indicators of APACHE II. Finally, we performed univariate and multivariate analysis on poor prognosis, and found that MOF, ARDS, ARF, shock, liver function damage, sICAM-1, and sRAGE were independent risk factors.

In summary, although results of the present study confirmed that serum sICAM-1 and sRAGE had high predictive value for the early diagnosis, efficacy and prognosis of SAP patients treated with Glu and UTI; elevation of sICAM-1 and sRAGE were independent predictive factors for poor prognosis; but there is still some room for improvement. Firstly, we can increase the sample size of patients and improve the accuracy and universality of research. Secondly, we can increase sICAM-1 and sRAGE's mechanism in SAP and MAP in our basic experiments in the future.

Acknowledgements

Not applicable.

Funding

Funding: No funding was received.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Authors' contributions

LS and SB conceived and designed the study. LS and MZ were responsible for the collection and analysis of the experimental data. LS and SB interpreted the data and drafted the manuscript. LS wrote the manuscript. SB and MZ revised the manuscript critically for important intellectual content. All authors read and approved the final manuscript.

Ethics approval and consent to participate

The study was approved by the Ethics Committee of Yidu Central Hospital of Weifang, China. Patients who participated in this research signed the informed consent and had complete clinical data. Signed written informed consents were obtained from the patients and/or guardians.

Patient consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

References

1 

Van Dijk SM, Hallensleben NDL, van Santvoort HC, Fockens P, van Goor H, Bruno MJ and Besselink MG: Dutch Pancreatitis Study Group. Acute pancreatitis: Recent advances through randomised trials. Gut. 66:2024–2032. 2017.PubMed/NCBI View Article : Google Scholar

2 

Vege SS, DiMagno MJ, Forsmark CE, Martel M and Barkun AN: Initial medical treatment of acute pancreatitis: American gastroenterological association institute technical review. Gastroenterology. 154:1103–1139. 2018.PubMed/NCBI View Article : Google Scholar

3 

Mole DJ, Webster SP, Uings I, Zheng X, Binnie M, Wilson K, Hutchinson JP, Mirguet O, Walker A, Beaufils B, et al: Kynurenine-3-monooxygenase inhibition prevents multiple organ failure in rodent models of acute pancreatitis. Nat Med. 22:202–209. 2016.PubMed/NCBI View Article : Google Scholar

4 

Maheshwari R and Subramanian RM: Severe acute pancreatitis and necrotizing pancreatitis. Crit Care Clin. 32:279–290. 2016.PubMed/NCBI View Article : Google Scholar

5 

Nesvaderani M, Eslick GD and Cox MR: Acute pancreatitis: Update on management. Med J Aust. 202:420–423. 2015.PubMed/NCBI View Article : Google Scholar

6 

Shah AP, Mourad MM and Bramhall SR: Acute pancreatitis: Current perspectives on diagnosis and management. J Inflamm Res. 11:77–85. 2018.PubMed/NCBI View Article : Google Scholar

7 

Shamoon M, Deng Y, Chen YQ, Bhatia M and Sun J: Therapeutic implications of innate immune system in acute pancreatitis. Expert Opin Ther Targets. 20:73–87. 2016.PubMed/NCBI View Article : Google Scholar

8 

Wang B, Wu G, Zhou Z, Dai Z, Sun Y, Ji Y, Li W, Wang W, Liu C, Han F and Wu Z: Glutamine and intestinal barrier function. Amino Acids. 47:2143–2154. 2015.PubMed/NCBI View Article : Google Scholar

9 

Cruzat V, Macedo Rogero M, Noel Keane K, Curi R and Newsholme P: Glutamine: Metabolism and immune function, supplementation and clinical translation. Nutrients. 10(1564)2018.PubMed/NCBI View Article : Google Scholar

10 

Alhan E, Usta A, Türkyılmaz S, Kural BV and Erçin C: Effects of glutamine alone on the acute necrotizing pancreatitis in rats. J Surg Res. 193:161–167. 2015.PubMed/NCBI View Article : Google Scholar

11 

Pan LL, Li J, Shamoon M, Bhatia M and Sun J: Recent advances on nutrition in treatment of acute pancreatitis. Front Immunol. 8(762)2017.PubMed/NCBI View Article : Google Scholar

12 

Yong L, Lu QP, Liu SH and Fan H: Efficacy of glutamine-enriched nutrition support for patients with severe acute pancreatitis: A meta-Analysis. JPEN J Parenter Enteral Nutr. 40:83–94. 2016.PubMed/NCBI View Article : Google Scholar

13 

Liu B, Huang W, Xiao X, Xu Y, Ma S and Xia Z: Neuroprotective effect of ulinastatin on spinal cord ischemia-reperfusion injury in rabbits. Oxid Med Cell Longev. 2015(624819)2015.PubMed/NCBI View Article : Google Scholar

14 

Xu R, Jiang S, Zhou H and Jin W: Clinical efficacy of ulinastatin combined with somatostatin for treatment of severe acute pancreatitis and effects on immune function. Int J Clin Exp Med. 12:11333–11341. 2019.

15 

Li C, Ma D, Chen M, Zhang L, Zhang L, Zhang J, Qu X and Wang C: Ulinastatin attenuates LPS-induced human endothelial cells oxidative damage through suppressing JNK/c-Jun signaling pathway. Biochem Biophys Res Commun. 474:572–578. 2016.PubMed/NCBI View Article : Google Scholar

16 

Wei F, Liu SY, Luo L, Gu N, Zeng Y, Chen X, Xu S and Zhang D: Anti-inflammatory mechanism of ulinastatin: Inhibiting the hyperpermeability of vascular endothelial cells induced by TNF-α via the RhoA/ROCK signal pathway. Int Immunopharmacol. 46:220–227. 2017.PubMed/NCBI View Article : Google Scholar

17 

Schellerer VS, Langheinrich MC, Zver V, Grützmann R, Stürzl M, Gefeller O, Naschberger E and Merkel S: Soluble intercellular adhesion molecule-1 is a prognostic marker in colorectal carcinoma. Int J Colorectal Dis. 34:309–317. 2019.PubMed/NCBI View Article : Google Scholar

18 

Staubli SM, Oertli D and Nebiker CA: Laboratory markers predicting severity of acute pancreatitis. Crit Rev Clin Lab Sci. 52:273–283. 2015.PubMed/NCBI View Article : Google Scholar

19 

Bopp C, Hofer S, Weitz J, Bierhaus A, Nawroth PP, Martin E, Büchler MW and Weigand MA: sRAGE is elevated in septic patients and associated with patients outcome. J Surg Res. 147:79–83. 2008.PubMed/NCBI View Article : Google Scholar

20 

Zhao B, Chen Y, Sun WW, Chen WW, Ma L, Yang ZT, Huang J, Chen EZ, Fei J and Mao EQ: Effect of S100A12 and soluble receptor for advanced glycation end products on the occurrence of severe acute pancreatitis. J Dig Dis. 17:475–482. 2016.PubMed/NCBI View Article : Google Scholar

21 

Greenberg JA, Hsu J, Bawazeer M, Marshall J, Friedrich JO, Nathens A, Coburn N, May GR, Pearsall E and McLeod RS: Clinical practice guideline: Management of acute pancreatitis. Can J Surg. 59:128–140. 2016.PubMed/NCBI View Article : Google Scholar

22 

Akavipat P, Thinkhamrop J, Thinkhamrop B and Sriraj W: Acute physiology and chronic health evaluation (APACHE) II score-the clinical predictor in neurosurgical intensive care unit. Acta Clin Croat. 58:50–56. 2019.PubMed/NCBI View Article : Google Scholar

23 

Hornbeck PV: Enzyme linked immunosorbent assays. Curr Protoc Immunol. 110:2.1.1–2.1.23. 2015.PubMed/NCBI View Article : Google Scholar

24 

Yang ZW, Meng XX and Xu P: Central role of neutrophil in the pathogenesis of severe acute pancreatitis. J Cell Mol Med. 19:2513–2520. 2015.PubMed/NCBI View Article : Google Scholar

25 

Manohar M, Verma AK, Venkateshaiah SU, Sanders NL and Mishra A: Pathogenic mechanisms of pancreatitis. World J Gastrointest Pharmacol Ther. 8:10–25. 2017.PubMed/NCBI View Article : Google Scholar

26 

Saluja A and Maitra A: Pancreatitis and pancreatic cancer. Gastroenterology. 156:1937–1940. 2019.PubMed/NCBI View Article : Google Scholar

27 

Shen X and Li WQ: High-mobility group box 1 protein and its role in severe acute pancreatitis. World J Gastroenterol. 21:1424–1435. 2015.PubMed/NCBI View Article : Google Scholar

28 

Yang C, Wen J, Xia M and Wang SR: Effect of glutamine nutrition support on the intestinal mucosal barrier function and inflammatory response in patients with severe acute pancreatitis. J Hainan Med Univ. 23:17–21. 2017.

29 

Pan Y, Fang H, Lu F, Pan M, Chen F, Xiong P, Yao Y and Huang H: Ulinastatin ameliorates tissue damage of severe acute pancreatitis through modulating regulatory T cells. J Inflamm (Lond). 14(7)2017.PubMed/NCBI View Article : Google Scholar

30 

Kuessel L, Wenzl R, Proestling K, Balendran S, Pateisky P, Yotova I, Yerlikaya G, Streubel B and Husslein H: Soluble VCAM-1/soluble ICAM-1 ratio is a promising biomarker for diagnosing endometriosis. Hum Reprod. 32:770–779. 2017.PubMed/NCBI View Article : Google Scholar

31 

Budnik A, Grewe M, Gyufko K and Krutmann J: Analysis of the production of soluble ICAM-1 molecules by human cells. Exp Hematol. 24:352–359. 1996.PubMed/NCBI

32 

Scavello F, Zeni F, Tedesco CC, Mensà E, Veglia F, Procopio AD, Bonfigli AR, Olivieri F and Raucci A: Modulation of soluble receptor for advanced glycation end-products (RAGE) isoforms and their ligands in healthy aging. Aging (Albany NY). 11:1648–1663. 2019.PubMed/NCBI View Article : Google Scholar

33 

Park JY, Jeon TJ, Ha TH, Hwang JT, Sinn DH, Oh TH, Shin WC and Choi WC: Bedside index for severity in acute pancreatitis: Comparison with other scoring systems in predicting severity and organ failure. Hepatobiliary Pancreat Dis Int. 12:645–650. 2013.PubMed/NCBI View Article : Google Scholar

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April-2021
Volume 21 Issue 4

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Spandidos Publications style
Shan L, Bai S and Zhao M: Early diagnosis of serum sICAM‑1 and sRAGE in severe acute pancreatitis, and efficacy and prognosis prediction of glutamine combined with ulinastatin. Exp Ther Med 21: 324, 2021
APA
Shan, L., Bai, S., & Zhao, M. (2021). Early diagnosis of serum sICAM‑1 and sRAGE in severe acute pancreatitis, and efficacy and prognosis prediction of glutamine combined with ulinastatin. Experimental and Therapeutic Medicine, 21, 324. https://doi.org/10.3892/etm.2021.9755
MLA
Shan, L., Bai, S., Zhao, M."Early diagnosis of serum sICAM‑1 and sRAGE in severe acute pancreatitis, and efficacy and prognosis prediction of glutamine combined with ulinastatin". Experimental and Therapeutic Medicine 21.4 (2021): 324.
Chicago
Shan, L., Bai, S., Zhao, M."Early diagnosis of serum sICAM‑1 and sRAGE in severe acute pancreatitis, and efficacy and prognosis prediction of glutamine combined with ulinastatin". Experimental and Therapeutic Medicine 21, no. 4 (2021): 324. https://doi.org/10.3892/etm.2021.9755