The Complement and Coagulation Cascades Pathway is Associated with Acute Necrotizing Pancreatitis by Genomics and Proteomics Analysis.

Purpose: Acute pancreatitis can be classified histologically as interstitial edema pancreatitis (IEP) or as acute necrotizing pancreatitis (ANP). ANP has a higher mortality and long-term or short-term sequelae than IEP. Therefore, this work aims to explore the differences in pathogenesis between ANP and IEP and it has great clinical importance for the treatment and prevention of ANP.
Methods: In this work, whole blood samples from IEP and ANP patients were analyzed by whole gene sequencing (WGS). Serum samples from IEP and ANP patients were evaluated via enzyme-linked immunosorbent assay (ELISA). Meanwhile, pancreatic tissues of IEP and ANP rat models were subjected to data independent acquisition (DIA) proteomics assays. Then, the WGS analysis and DIA proteomics assay data were analyzed comprehensively.
Results: Six pathways were found to be significantly different in the ANP/IEP groups through WGS analysis. DIA proteomics found eleven different pathways. In both assays, the complement and coagulation cascades pathway was the most significantly different (p < 0.01) pathway between the two groups. WGS analysis showed base mutations in ten genes in the complement and coagulation cascades pathway. These results were consistent with the ten proteins detected by DIA proteomics analysis, which were significantly upregulated in the ANP/IEP groups. In addition, five of these proteins, complement C3, complement Factor I, alpha-2-macroglobulin, complement C9, and serpin family C member 1, were successfully verified by parallel reaction monitoring analysis and ELISA.
Conclusion: C3, CFI, A2m, C9, and Serpinc1, which belong to complement and coagulation cascades pathway, may promote pancreatic necrosis and aggravate the severity of ANP.

Introduction

Acute pancreatitis (AP) is a prevalent and possibly fatal gastrointestinal disease. The incidence rate is rising.1 According to histology, AP is classified into acute necrotizing pancreatitis (ANP) and interstitial edema pancreatitis (IEP). Necrosis of pancreatic parenchyma and/or peripancreatic tissue may occur in about 10–20% of AP cases, which can exacerbate the severity of AP. About 45% of ANP patients will develop organ failure, leading to prolonged intensive care unit admission and a complex course of disease, most often requiring multiple invasive interventions.2 ANP has a mortality rate of approximately 15%, the necrotic pancreatic (peripancreatic) tissue is susceptible to infection.3 Mortality can be as high as 30% if infection develops in necrotic collection.3 Previous studies have also confirmed that the mortality, length of intensive care unit admission, morbidity of complications and need for invasive intervention of ANP are significantly higher than those of IEP under the same conditions.2,4,5 Therefore, ANP will lead to a large use of medical resources and an increase in costs.

However, due to the incomplete understanding of the pathogenesis of ANP, there is still a lack of specific medicine for the treatment of ANP, and the treatment method and timing of infectious ANP are not clear enough.6 If we can further understand the pathogenesis of ANP, it may be helpful for clinical intervention in advance to prevent the occurrence of pancreatic necrosis. Therefore, the study of the pathogenesis of ANP has great clinical importance. Previous reports have suggested that AP may be associated with genetic variation.7–9 It has also been reported that only a portion of patients exposed to AP risk factors develop AP, and only a small number of AP patients develop more severe AP with necrosis or organ failure.10 This suggests that genetic mutations may regulate the occurrence of necrosis in AP. However, we have not found reports about the difference between IEP and ANP in genomics.

As a result, the purpose of this paper is to explore the differences in pathogenesis between ANP and IEP through genomics and proteomics, which may guide the development of specific drugs to treat ANP and clinical treatment of ANP.

Materials and Methods

Patients

This research was authorized by the Ethical Committees of the Affiliated Hospital of North Sichuan Medical College. Written informed consent was obtained from all patients and all procedures involving humans maintained adherence to the Declaration of Helsinki.

ANP patients hospitalized in the hospital from November 2016 to August 2017 were consecutively recruited. The diagnosis of AP needs to meet at least two of the following three criteria: (1) meet the abdominal pain characteristics of AP, such as severe, acute and persistent upper abdominal pain radiating into the back; (2) imaging findings were consistent with AP; (3) serum amylase or lipase activity was more than 3 times higher than the normal upper limit. Patients enrolled must undergo abdominal contrast-enhanced magnetic resonance (CEMR)/contrast-enhanced computed tomography (CECT) examination and with relevant laboratory data, medical records within 3 days of admission. The exclusion criteria were as follows: (1) acute attack of chronic pancreatitis; (2) AP due to pancreatic tumor; (3) complicated with cancer, severe chronic wasting diseases; (4) AP patients with a family history of genetic disease (hemophilia, inherited heart disease, etc.) or congenital anatomic abnormalities of the pancreas, such as pancreatic divisum; and (5) unsatisfactory images or incomplete medical records. The flowchart of ANP patients is shown in Figure 1. IEP patients who matched with age and sex of ANP patients during the same period were recruited, and the exclusion and inclusion criteria are the same as ANP patients’ criteria. Diagnosis of IEP and ANP by CECT/CEMRI. The main imaging findings of ANP were local or diffuse hypo-density (hypointensity) non-enhanced areas of pancreas parenchyma and/or heterogeneous density (signal intensity) of peripancreatic fluid collection on CT/MRI. However, IEP showed local or diffuse enlargement of pancreas parenchyma, blurred peripancreatic fat space, and homogeneous enhancement of pancreas parenchyma on CT/MRI.11 The information of sex, age, etiology, length of hospital stay, C-reactive protein (CRP), serum amylase and lipase of patients was collected. The diagnostic criteria for different etiologies of AP were shown in . Other clinical characteristics, including computed tomography severity index (CTSI)/magnetic resonance severity index (MRSI) score, severity based on the 2012 revised Atlanta Classification (RAC), Acute Physiology and Chronic Health Evaluation (APACHE)-II score, extra-pancreatic inflammation on CT (EPIC) score, systemic inflammatory response syndrome (SIRS) score, bedside index of severity in acute pancreatitis (BISAP) score were calculated within 3 days of admission. Blood samples of the two groups were collected by professionals from the patients who were recruited to participate in the experiment within 3 days after admission and stored at −80°C for whole gene sequencing (WGS).

Figure 1

Flowchart of ANP patients’ recruitment.

We also collected serum samples from 84 AP patients during the first 3 days of hospitalization in the Affiliated Hospital of North Sichuan Medical College from June 2020 to May 2021. The enrollment and exclusion criteria were consistent with those of the above patients, and they were classified into ANP and IEP groups by CEMR or CECT, with 42 patients in each group. Serum samples were placed at −80°C for further analysis by enzyme-linked immunosorbent assay (ELISA).

WGS Analysis

Blood samples of IEP patients (n = 21) and ANP patients (n = 26) were analyzed by WGS. Genomics DNA sequencing was performed using the Illumina NovaSeq 6000 platform (Illumina Inc., San Diego, CA, USA) at Novogene Bioinformatics Technology Co., Ltd. (Beijing, China). For details of sequencing and bioinformatics analysis, see .

Establishment of IEP and ANP Rat Models

The animal protocols for rat studies were approved by the Animal Care and Use Committee of North Sichuan Medical College. The animal studies were implemented at the Experimental Animal Center of North Sichuan Medical College and were managed in full compliance with China Animal Welfare Act, the China Public Health Service Policy on Humane Care and Use of Laboratory Animals and the National Research Council’s Guide for the Care and Use of Laboratory Animals.

Male adult Sprague–Dawley rats (n = 10, 6–8 weeks, 200–250 g) were provided by the Experimental Animal Center of North Sichuan Medical College. They were randomly classified into two groups of five rats each. In one group, IEP was established by retrograde pancreaticobiliary duct injection with 0.9% saline, and another group, ANP was established by similar injections with 5% sodium taurocholate (Solarbio Science Technology, Beijing, China). Then, rats were killed six hours later for the collection of blood samples and pancreatic tissues. Blood was immediately centrifuged at 3000 g for 5 min after collection. The serum was retained and stored at −80°C until detection. The pancreas was removed and divided into two parts for later analyses. One part was stored at −80°C for data independent acquisition (DIA) proteomics assay and validation via parallel reaction monitoring (PRM). One part was fixed in formalin for histological analysis. Serum levels of amylase in AP rats were measured by using an enzymatic colorimetric assay (Roche Diagnostics, Indianapolis, IN). Hematoxylin and eosin (H&E) were used to stain the pancreatic sections to conduct the histopathologic analyses under light microscopy. Schmidt’s scale was used to classify AP degree.12 This scale scored edema, acinar necrosis, hemorrhage and fat necrosis, and inflammatory and perivascular infiltration extent.

DIA Proteomics Analysis and PRM Validation of Target Proteins

DIA proteomics analysis and PRM validation were performed on pancreatic tissues of IEP (n = 5) and ANP (n = 5) rats. This process was carried out in Shanghai Applied Protein Technology Co., Ltd., see for details.

Validation of Target Proteins in Patient Serum by Enzyme-Linked Immunosorbent Assay (ELISA)

The levels of complement C3 (C3), complement Factor I (CFI), alpha-2-macroglobulin (A2m), complement C9 (C9), and serpin family C member 1 (Serpinc1) in the serum of AP patients were determined using double antibody ELISA (Shanghai Enzyme-linked Biotechnology Co., Ltd., China) commercial kits (ml058121-J, ml063609-J, ml060470-J, ml060470-J, and ml060054-J, respectively) according to the manufacturer’s instructions.

Statistical Analysis

The hierarchical and categorical variables were expressed as percentages. The continuous variables were described as medians (range) or mean ± SEM. Etiology and sex were compared through Fisher’s exact test or chi-squared test. On the basis of data distribution, other clinical features of the two groups were compared via Mann–Whitney U-test or independent t-test. Histopathologic investigation and the analysis of enzyme levels were performed using Kruskal–Wallis and analysis of variance (ANOVA) test. All statistical analyses were implemented by applying the statistical analysis software SPSS version 25.0 (SPSS Inc., Chicago, IL). A p value less than 0.05 was regarded as statistically significant.

Result

Patient Characteristics

Statistical analysis results of basic clinical data and various scoring data of the patients in the IEP and ANP groups were shown in Tables 1 and 2. Between the ANP and IEP groups, there did not exist statistical differences in etiology, age, sex, BISAP score, or EPIC score. The CTSI/MRSI score, severity based on RAC, CRP level, and SIRS score in the ANP group were much higher than those in the IEP group (p < 0.05). Although there was no significant difference in hospital stay or APACHE II score between the two groups, the average value of the ANP group was higher than that of the IEP group. The levels of amylase and lipase in the IEP group were much higher, compared with ANP group.

Table 1

Basic Clinical Characteristics of Patients with IEP and ANP

	Total (n=47)	IEP (n =21)	ANP (n = 26)	p value
Sex	47 (100%)	21 (44.7%)	26 (55.3%)	0.06
Male	30 (63.8%)	12 (57.1%)	18(69.2%)
Female	17 (36.2%)	9 (42.9%)	8 (30.8%)
Age (years)	45.96 ± 2.19	46.05 ± 3.61	45.88 ± 2.74	0.97
Etiology				0.97
Biliary	11 (23.4%)	6 (28.6%)	5 (19.2%)
Alcoholic	13 (27.7%)	7 (33.3%)	6 (23.1%)
Hypertriglyceridemia	11 (23.4%)	3 (14.3%)	8 (30.8%)
Idiopathic	12 (25.5%)	5 (23.8%)	7 (26.9%)
Hospital stay (days)	13.85 ± 0.86	12.10 ± 0.97	15.27 ± 1.28	0.06
CRP	31.44 (1.75~403.00)	10.06 (1.75~403.00)	37.57 (2.34~307.00)	0.04*
Amylase	339.60 (32.50~2256.0)	515.50 (87.70~2256.00)	264.60 (32.50~1321.00)	0.02*
Lipase	4431.50 (21.80~6020.00)	960.90 (142.40~6020.00)	358.50 (21.80~2994.30)	0.02*

Note: *p value <0.05.

Abbreviations: IEP, interstitial edema pancreatitis; ANP, acute necrotizing pancreatitis; CRP C-reactive protein.

Table 2

Severity Scores Comparison Between IEP and ANP Patients

	IEP (n =21)	ANP (n = 26)	p value
CTSI/MRSI	3 (0~4)	5 (3~10)	<0.001*
Severity based on RAC			<0.01*
Mild	8 (38.10%)	2 (7.70%)
Moderately severe	13 (61.90%)	22 (84.60%)
Severe	0 (0.00%)	2 (7.70%)
APACHE II	3.00 ± 0.57	4.46 ± 0.60	0.09
EPIC	5 (0~7)	5 (2~7)	0.25
BISAP	1 (0~3)	1 (0~3)	0.54
SIRS	0 (0~3)	1 (0~3)	0.03*

Note: *p value <0.05.

Abbreviations: IEP, interstitial edema pancreatitis; ANP, acute necrotizing pancreatitis; CTSI, computed tomography severity index; MRSI, magnetic resonance severity index; RAC, revised Atlanta classification; APACHE II, acute physiology and chronic health evaluation; EPIC, extra-pancreatic inflammation on computed tomography; BISAP, bedside index of severity in acute pancreatitis; SIRS, systemic inflammatory response syndrome.

Genetic Mutations in the Complement and Coagulation Cascades Pathway May Contribute to ANP

To study the differences in genomes between ANP and IEP, patients in ANP group (n = 26) or IEP group (n = 21) underwent WGS. Through Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, six pathways were significantly different (p < 0.05) between the two groups (Table 3). As seen from the KEGG bubble diagram (Figure 2), the difference in the complement and coagulation cascades pathway was most significant (p < 0.01), with more genes enriched in this pathway. In the complement and coagulation cascades pathway, 22 patients in the ANP group had gene mutations in the exon or splice region, including 39 sites in 29 genes and Nine patients in the IEP group had mutations in their exons, including 16 sites in 14 genes. Among them, 6 mutation sites of ANP groups were located in the splicing region, and there was no annotation information in ANNOVAR. The annotation of one mutation site in each group was unknown in ANNOVAR. Specific mutation sites in the complement and coagulation cascades pathway in the ANP group and IEP group are shown in Table 4

Table 3

Differential Pathways in WGS Analysis Between ANP and IEP Patients

Pathway	Alt_ANP	Ref_ANP	Alt_IEP	Ref_IEP	p value
Complement and coagulation cascades	22	4	9	12	<0.01*
Alanine aspartate and glutamate metabolism	10	16	16	5	0.02*
Apoptosis	18	8	7	14	0.02*
Ppar signaling pathway	15	11	19	2	0.02*
Allograft rejection	8	18	1	20	0.03*
Oxidative phosphorylation	18	8	8	13	0.04*

Notes: Alt_ANP/Alt_IEP the number of patients who occurred mutant bases in this pathway in ANP group/IEP group, Ref_ANP/Ref_IEP the number of patients who consisted with reference bases in this pathway in ANP group/IEP group; *p value <0.05.

Abbreviations: ANP, acute necrotizing pancreatitis; IEP, interstitial edema pancreatitis; WGS, whole genome sequencing.

Figure 2

Differential pathways between IEP and ANP patients analyzed by WGS.

Table 4

Mutations in Complement and Coagulation Cascades Pathway in Patients with ANP and IEP

Group	Gene	ID	Region	Variation Type	Accession	Genotypea
ANP	A2m	rs775058537	Splicing		NC_000012.11	g.9221327_9221330del
	A2m	rs200420993	Exonic	Missense SNV	NC_000012.1	g.9266056G>A
	C1R	rs749274074	Exonic	Unknown	NC_000012.1	g.7241493C>T
	C3	rs138900723	Exonic	Missense SNV	NC_000019.9	g.6690729G>A
	C4BPA	rs140703266	Exonic	Missense SNV	NC_000001.10	g.207317935T>C
	C4BPB	rs764052227	Exonic	Missense SNV	NC_000001.10	g.207263768G>T
	C6		Exonic	Missense SNV	NC_000005.9	g.41159349A>G
	C7	rs200622924	Exonic	Missense SNV	NC_000005.9	g.40958328C>T
	C7	rs375805678	Exonic	Missense SNV	NC_000005.9	g.40981640A>G
	C8A	rs145228353	Exonic	Missense SNV	NC_000001.10	g.57341837G>A
	C8G	rs148537245	Exonic	Missense SNV	NC_000001.10	g.139840422C>T
	C8G	rs200109501	Splicing		NC_000001.10	g.139841101A>G
	C9	rs121909592	Exonic	Stop gain	NC_000005.9	g.39341378G>A
	CD46		Splicing		NC_000001.10	g.207930549_ 207930550ins AAGTAAACAAA
	CD46	rs368371683	Exonic	Missense SNV	NC_000001.10	g.207934692G>C
	CFH	rs367837226	Splicing		NC_000001.10	g.196646807A>G
	CFI	rs763931500	Exonic	Missense SNV	NC_000004.11	g.110670410C>A
	CPB2	rs202020888	Exonic	Missense SNV	NC_000013.10	g.46629913A>C
	CR1	rs55906048	Exonic	Missense SNV	NC_000001.10	g.207680151A>C
	CR1		Splicing		NC_000001.10	g.207787835G>A
	CR1		Exonic	Missense SNV	NC_000001.10	g.207791445G>A
	CR2	rs201760344	Exonic	Missense SNV	NC_000001.10	g.207642150C>T
	F11	rs281875279	Exonic	Stopgain	NC_000004.11	g.187197527G>A
	F12	rs138580930	Exonic	Missense SNV	NC_000005.9	g.176829661C>A
	F12	rs368879882	Exonic	Missense SNV	NC_000005.9	g.176832982G>A
	F5	rs774639785	Exonic	Missense SNV	NC_000001.10	g.169495167C>T
	F7	rs121964936	Exonic	Missense SNV	NC_000013.10	g.113773145T>G
	KLKB1		Exonic	Missense SNV	NC_000004.11	g.187179251G>T
	KNG1	rs187202560	Splicing		NC_000003.11	g.186459303C>T
	KNG1	rs1085307077	Exonic	Frameshift deletion	NC_000003.11	g.186460048_ 186460051del
	MASP1	rs755157142	Exonic	Missense SNV	NC_000003.11	g.186944295G>C
	PLG	rs4252128	Exonic	Missense SNV	NC_000006.11	g.161152819C>T
	PROC	rs121918145	Exonic	Missense SNV	NC_000002.11	g.128183754C>T
	SERPINA1	rs200945035	Exonic	Missense SNV	NC_000014.8	g.94844968T>C
	SERPINA5	rs201869477	Exonic	Missense SNV	NC_000014.8	g.95056500C>G
	SERPIND1	rs181138395	Exonic	Missense SNV	NC_000022.10	g.21138310C>T
	VWF	rs773544469	Exonic	Missense SNV	NC_000012.11	g.6127617G>A
	VWF		Exonic	Missense SNV	NC_000012.11	g.6143942G>A
	VWF	rs189409574	Exonic	Missense SNV	NC_000012.11	g.6172134T>C
IEP	C1QC	rs560156356	Exonic	Missense SNV	NC_000001.10	g.22974053C>T
	C1R	rs144141261	Exonic	Unknown	NC_000012.11	g.7242267G>A
	C5	rs747276237	Exonic	Missense SNV	NC_000009.11	g.123752013C>T
	C5		Exonic	Missense SNV	NC_000009.11	g.123760048C>T
	C9	rs527488079	Exonic	Missense SNV	NC_000005.9	g.39308359A>G
	CR1	rs376980117	Exonic	Missense SNV	NC_000001.10	g.207785379G>A
	F10		Exonic	Missense SNV	NC_000013.10	g.113803358A>G
	F5	rs201292247	Exonic	Missense SNV	NC_000001.10	g.169512296T>C
	F9	rs762986355	Exonic	Missense SNV	NC_000023.10	g.138633223C>T
	KNG1	rs1085307077	Exonic	Frameshift deletion	NC_000003.11	g.186460048_ 186460051del
	MASP1	rs3774266	Exonic	Missense SNV	NC_000003.11	g.186937924C>T
	PLAU	rs192623012	Exonic	Missense SNV	NC_000010.10	g.75673753G>T
	PLG	rs139357983	Exonic	Missense SNV	NC_000006.11	g.161132157C>T
	Serpinc1		Exonic	Missense SNV	NC_000001.10	g.173876643G>A
	VWF	rs372028373	Exonic	Missense SNV	NC_000012.11	g.6128632C>T
	VWF	rs139196998	Exonic	Missense SNV	NC_000012.11	g.6167131G>A

Notes: aNomenclature following HGVS recommendations;42 Indicates no annotation in dbSNP or ANNOVAR.

Abbreviations: ANP, acute necrotizing pancreatitis; IEP, interstitial edema pancreatitis.

C3, CFI, A2m, C9, and Serpinc1 Were Significantly Upregulated in ANP

H&E-stained pancreatic sections of rats from the control group, IEP group, and ANP group were investigated under a light microscope (Figure 3A). The results showed that the control group had normal pancreatic structure without edema and inflammation. The IEP group showed pancreatic edema with fluid accumulation in interlobular septa but no cell necrosis. The ANP group showed pancreatic edema, inflammation, and acinar cell necrosis. Histological scores were 0 in the control group, 2–5 in the IEP group, and 3–6 in the ANP group (Figure 3B). Serum amylase levels of rats in the IEP group (5924 ± 546.30 U/L, n = 5) and ANP group (4369 ± 287.80 U/L, n = 5) were both higher than that in the control group (2386 ± 49.87 U/L, n = 5) (Figure 3C).

Figure 3

Evaluation of IEP and ANP rat models.

A total of 367 differentially expressed protiens (DEPs) in pancreas of rats between the ANP and IEP groups were selected by significant difference protein screening. Among them, 254 DEPs were upregulated in the ANP group, whereas 113 DEPs were downregulated when compared with the IEP group. The results are illustrated by a volcano plot (Figure 4A). In addition, the hierarchical clustering heatmap of 367 DEPs was obtained after normalization with z score, and according to the Euclidean distance, the proteins were grouped into four clusters and effectively separated IEP samples from ANP samples (Figure 4B).

Figure 4

DIA proteomics analysis of IEP and ANP rats.

To further understand the pathological differences between IEP and ANP, KEGG and Gene Ontology (GO) enrichment analysis was used to investigate the DEPs. There were eleven pathways between the IEP and ANP groups with significant differences (p < 0.05), including the complement and coagulation cascades pathway, neutrophil extracellular trap formation, and NF-kappa B signaling pathway (Figure 4C). The difference in the complement and coagulation cascades pathway was most significant, which was consistent with the WGS analysis. GO analysis of DEPs was performed to understand the biological pathways, functions, and localization of proteins in the organism. In Figure 4D, the top twenty GO enrichment analyses are displayed. For a biological process (BP), these proteins principally participate in the inflammatory response and immune response. Molecular functions (MF) mainly included the regulator and inhibitor activities of enzymes. For the cellular components (CC), these DEPs mainly existed in the extracellular space and mitochondria. In combination with KEGG and GO analysis, eighteen proteins in the complement and coagulation cascades pathway were significantly different between the two groups. Ten of the proteins were identical to the gene with base mutations in WGS (Table 5). Compared with the IEP group, these ten proteins were significantly upregulated in the ANP group.

Table 5

Differential Proteins of ANP and IEP in Complement and Coagulation Cascades Pathway

Protein	Gene	ANP/IEP	p value
Alpha-2-macroglobulin	A2m	7.262	<0.01*
Complement C8 gamma chain	C8g	2.093	0.02*
Coagulation factor XII	F12	2.056	<0.01*
Complement Factor H	CFH	2.038	<0.01*
Complement C3	C3	1.992	0.04*
Complement component 4 binding protein, alpha	C4bpa	1.938	0.03*
Complement Factor I	CFI	1.714	<0.01*
Complement C9	C9	1.613	<0.05*
Complement C7	C7	1.578	<0.01*
Serpin family C member 1	Serpinc1	1.524	0.04*

Note: *p value <0.05.

Abbreviations: ANP, acute necrotizing pancreatitis; IEP, interstitial edema pancreatitis.

Finally, five proteins were successfully verified by PRM. They were C3, CFI, A2m, C9, and Serpinc1. These proteins are primarily involved in inflammatory reactions and immune responses. Compared with the IEP group, the expression of C3, CFI, A2m, C9, and Serpinc1 in the ANP group was upregulated by 1.71, 1.38, 4.65, 1.48, and 1.06 times, respectively. The upregulation trend of each protein was almost consistent with the results of the DIA proteomics assay. The fold change of the five proteins in the DIA proteomics assay and PRM are shown in Figure 5.

Figure 5

Fold changes of C3, CFI, A2m, C9, and Serpinc1 in the ANP/IEP group detected by DIA proteomics and PRM.

In combination with the results of genomics sequencing, three of the genes consistent with these five proteins were mutated only in ANP group, including C3 (NC_000019.9: g.6690729G>A); CFI (NC_000004.11: g.110670410C>A), and A2m (NC_000012.11: g.9266056G>A). One mutation, Serpinc1 (NC_000001.10: g.173876643G>A), occurred only in the IEP group. In addition, C9 was mutated in both groups, but the sites and types of mutations were different. The mutation type of C9 in ANP group was stop gain (C9 (NC_000005.9: g.39341378G>A)), while in IEP group it was missense SNV (C9 (NC_000005.9: g.39308359A>G)).

CFI and Serpinc1 Levels in ANP Patients Were Increased, While A2m Levels Were Reduced

The levels of C3, CFI, A2m, C9, and Serpinc1 in the serum of patients with IEP and ANP were detected by ELISA. The results are shown in scatter diagrams in Figure 6. Although there was no significant difference in the level of C3 between the IEP and ANP groups, the proportion of high levels (100–150 µg/mL) in the IEP group (31.03%) was significantly higher than that in the ANP group (18.52%). The levels of CFI, A2m, and Serpinc1 in the serum of patients in the two groups were significantly different (p = 0.02, p = 0.04, and p < 0.05, respectively). The average levels of CFI and Serpinc1 in the ANP group were higher than those in the IEP group, while the average level of A2m in the ANP group was lower than that in the IEP group. There existed no evident difference in the levels of serum C9 between the ANP and IEP groups, but the ANP group had a higher mean (9.63 ±1.76 µg/mL) than the IEP group (7.89 ±1.76 µg/mL).

Figure 6

The levels of C3, CFI, A2m, C9, and Serpinc1 in IEP and ANP patients were detected by ELISA.

Discussion

This study includes imaging and genomics in patients with AP and proteomics with rat model of AP. Based on imaging classification, the differences in genes and proteins between ANP and IEP were studied to better understand the molecular mechanism of pancreatic necrosis. In our study, the CTSI/MRSI, SIRS scores, severity based on RAC, and CRP of ANP patients were significantly higher than those of IEP patients. Combined with WGS analysis of AP patients and DIA proteomics assays of AP rats and found that the complement and coagulation cascades pathway was significantly different between the ANP and IEP groups. And in this pathway C3 (NC_000019.9: g.6690729G>A); CFI (NC_000004. 11: g.110670410C>A); A2m (NC_000012. 11: g. 9266056G>A); C9 (NC_000005.9: g.39341378G>A) mutation occurred in ANP group, and C9 (NC_000005.9: g.39308359A>G); Serpinc1 (NC_000001.10: g.173876643G>A) gene mutation occurred in IEP group. DIA proteomics found that C3, CFI, A2m, C9, and Serpinc1 proteins in ANP group was significantly higher than those in IEP group. The accumulated data show that neutrophils can be recruited by the complement system and that the system can also adjust inflammation and tissue injury under various inflammatory conditions.13–15 Studies have proven that complement system activation in AP is related to the severity of disease, particularly in ANP models.14

The data show that C3 expression is higher in the pancreatic tissues of ANP rats than in those of IEP rats. Interestingly, although the average levels of C3 in serum of ANP patients were only slightly higher than those in IEP patients, and there was no statistical difference between the two groups, the proportion of high C3 levels in the IEP group was higher than that in the ANP group. This finding is consistent with the findings of Seelig et al, who showed that in a taurocholate-induced rat model of AP, massive C3 deposits could be detected in the vicinity of acinar necroses and necrobioses.16 Multiple studies have found that serum C3 levels were significantly reduced in ANP patients,14,17 suggesting that C3 consumption may play a role in the development of ANP. A recent study demonstrated that C3 is an effective promoter of systemic inflammation, pancreatic tissue damage, neutrophil recruitment, and neutrophil extracellular trap (NET) generation in the pathogenesis of AP.15 There is sufficient evidence that neutrophil recruitment together with subsequent NET generation is one of the pivotal components of SAP development.18 In addition, C3 is involved in all complement activation pathways and can interact with many complement components and factors. For example, CFI can cleave C3 to C3b with assistance from cofactors.19 C3b is an effective humoral inflammatory mediator. CFI further cleaves C3b to C3bi, which can bind to complement receptors CR3 (and probably CR4) on neutrophils to trigger inflammation.20 CFI also inactivates C3b, reduces the production of C3 convertase (C3bBb), and prevents excessive consumption of C3 in plasma. Both an increase or decrease in CFI may upset this balance. Our data showed that CFI levels were markedly higher in the ANP group than in the IEP group. This indicates that CFI may be correlated with ANP. However, the exact mechanism is unclear. In addition, trypsin can cleave C3 as well.21 As a broad-spectrum protease inhibitor in human plasma, A2m can inhibit trypsin22,23 and play a central role in defense proteinase-induced release of C3 cleavage products.24 In AP, trypsin is rapidly inhibited to form a stable compound with A2m.25 Therefore, in patients with AP, concentrations of A2m are typically depressed but decrease profoundly and for longer periods in more severe cases.26–28 This has been interpreted as A2m being consumed by activated trypsin and subsequent clearance of the A2m protease complexes from the intravascular space by cells of the reticuloendothelial system within approximately 10 minutes.29 However, clearance of complexes from the peritoneal fluid is probably much slower.30 This is consistent with our results that A2m in the serum of ANP patients was markedly lower than that in IEP patients, while A2m was overtly increased in the inflamed pancreatic tissue of ANP rats compared with IEP rats.

The experimental data also showed that the content of C9 in the pancreas of ANP rats was observably higher than that of IEP rats. The mean level of serum C9 in ANP patients was higher than that in IEP patients. Many studies have proposed that C9 is associated with necrosis, apoptosis, and the proinflammatory response. As one of the key components of the membrane attack complex (MAC),31,32 the presence of C9 on the cell surface indicates the formation of MAC.33 MAC is the terminal complement cascade effector.34 It binds to the target cell surface and leads to cell lysis by generating transmembrane channels or pores on the cell membrane.35,36 These assembled pores are thought to allow lysozymes to degrade the peptidoglycan layer through the outer membrane.37,38 In addition, Triantafilou et al proposed that MAC insertion into the cell membrane could trigger Ca2+ influx, increase cytosolic Ca2+ concentration, and then accumulate in the mitochondrial matrix, ultimately resulting in mitochondrial dysfunction, apoptosis, inflammasome activation, and the secretion of IL-1β.39 MAC-activated cells can express proinflammatory proteins via NF-κB-dependent transcription, assemble inflammasomes, activate processing, and promote IL-1β and IL-18 secretion.40,41 This may explain the higher levels of C9 in the pancreas of the rats in the ANP group in this study.

Proteomics analysis of the pancreas of AP rats and ELISA analysis of the serum of AP patients showed that Serpinc1 expression was increased when ANP occurred. This suggests that Serpinc1 is likely to be associated with ANP and may be a biomarker for predicting ANP. However, there have been no reports about the relationship between Serpinc1 and AP.

Our study has some limitations. First, our research involved a single-center study, and a few patients underwent WGS analysis, which may lead to selection bias. Second, although we found base mutations in the C3, CFI, A2m, C9, and Serpinc1 genes in IEP and ANP patients and verified their protein expression levels in IEP and ANP rat models, the molecular mechanism was not further studied through in vivo and in vitro investigations. Finally, the network of interrelationships among the five genes is not fully understood. Therefore, the molecular mechanism and network of these five genes in the development of ANP should be investigated in detail in future studies.

Conclusion

C3, CFI, A2m, C9, and Serpinc1, which belong to complement and coagulation cascades pathway could play an important role in the pathogenesis of ANP. Moreover, C3, CFI, A2m, C9, and Serpinc1 in serum of patients may be used as biomarkers to predict ANP in the future.