Objective:To analyze the changes of serum metabolites in patients with acute pancreatitis (AP) by non-targeted metabolomics method.Methods:Serum samples and clinical data of 15 AP patients hospitalized in the Affiliated Hospital of Jiangnan University from August to September 2024 were collected and included in the AP group, including 9 males and 6 females, aged (55.4±15.3) years. The serum and clinical data of 25 patients with colon polyps in the same hospital during the same period of time were collected, including 15 males and 10 females, aged (61.2±11.5) years, and were included in the control group. Serum metabolomic detection was performed using the ultra-high performance liquid chromatography tandem Fourier transform mass spectrometer. The modeling method was orthogonal partial least square discriminant analysis, and principal component analysis was performed on the data matrix to screen the differential metabolites in serum of AP patients. The Kyoto Encyclopedia database of Genes and Genomes was used to annotate differential metabolites, and the pathway of differential metabolite enrichment was analyzed by software.Results:The principal component analysis showed that the contribution ratio of the first principal component was 15.1%, the proportion of the second principal component was 10.8%, and the total proportion of the two was 25.9%. In principal component analysis, two groups of samples can be clearly distinguished and show obvious clustering characteristics. According to the analysis of OPLS-DA model, there were significant differences in serum metabolic profiles between AP group and control group. There were 683 differentially expressed metabolites between the two groups, with 367 differentially expressed metabolites up-regulated compared with the control group and 316 differentially expressed metabolites down-regulated compared with the control group. It is mainly Phosphatidic Acid (Lte4/8: 0) (+ 218%), Omeprazole Sulphone (-38%), and 2-(Propylthio) Nicotinic Acid (2-propyl thionicotinic acid) (-58%), Gein (salicyricetin) (-47%) and so on. Pathway enrichment analysis showed that the differential metabolites in AP patients were mainly concentrated in citric acid cycle, arginine biosynthesis and glycerophospholipid metabolism pathways.Conclusion:Serum metabolites in AP patients change significantly, including citric acid cycle, arginine biosynthesis, glycerophospholipid metabolism.

Objective:To analyze the changes of serum metabolites in patients with acute pancreatitis (AP) by non-targeted metabolomics method.Methods:Serum samples and clinical data of 15 AP patients hospitalized in the Affiliated Hospital of Jiangnan University from August to September 2024 were collected and included in the AP group, including 9 males and 6 females, aged (55.4±15.3) years. The serum and clinical data of 25 patients with colon polyps in the same hospital during the same period of time were collected, including 15 males and 10 females, aged (61.2±11.5) years, and were included in the control group. Serum metabolomic detection was performed using the ultra-high performance liquid chromatography tandem Fourier transform mass spectrometer. The modeling method was orthogonal partial least square discriminant analysis, and principal component analysis was performed on the data matrix to screen the differential metabolites in serum of AP patients. The Kyoto Encyclopedia database of Genes and Genomes was used to annotate differential metabolites, and the pathway of differential metabolite enrichment was analyzed by software.Results:The principal component analysis showed that the contribution ratio of the first principal component was 15.1%, the proportion of the second principal component was 10.8%, and the total proportion of the two was 25.9%. In principal component analysis, two groups of samples can be clearly distinguished and show obvious clustering characteristics. According to the analysis of OPLS-DA model, there were significant differences in serum metabolic profiles between AP group and control group. There were 683 differentially expressed metabolites between the two groups, with 367 differentially expressed metabolites up-regulated compared with the control group and 316 differentially expressed metabolites down-regulated compared with the control group. It is mainly Phosphatidic Acid (Lte4/8: 0) (+ 218%), Omeprazole Sulphone (-38%), and 2-(Propylthio) Nicotinic Acid (2-propyl thionicotinic acid) (-58%), Gein (salicyricetin) (-47%) and so on. Pathway enrichment analysis showed that the differential metabolites in AP patients were mainly concentrated in citric acid cycle, arginine biosynthesis and glycerophospholipid metabolism pathways.Conclusion:Serum metabolites in AP patients change significantly, including citric acid cycle, arginine biosynthesis, glycerophospholipid metabolism.

Objective To investigate the effects of the erythropoietin (EPO) on ischemia reperfusion injury (IRI) in rats with nephron-sparing surgery (NSS). Methods Fifty-four Sprague Dawley rats were divided into 3 groups randomly after right kidney nephrectomy: Sham group, NSS group (PBS+NSS) and EPO group (EPO+NSS). During NSS, renal artery was clamped for 40 min to induce IRI. Sham group just adopted exposure renal artery without vascular clamped. Rats in NSS group were injected intraperitoneally with PBS for 3 days before NSS. Rats in EPO group were injected intraperitoneally with EPO for 3 days before NSS. After 12 h, 24 h, 72 h, blood sample and renal tissues were collected. The serum creatinine (Scr) and urea nitrogen (BUN) were evaluated. The pathology injury was evaluated by HE staining. The CD24/CD133 double-positived renal progenitor cells (RPCs) were tested by flow cytometry. The CD133 and PCNA protein were quantified by immunohistochemical staining. The expressions of Wnt7b and β-catenin protein were detected by Western blotting. Results Rats in NSS group had more elevated Scr, BUN and pathology injury scores 12 h, 24 h and 72 h after operation than those in Sham group (all P<0.05). Compared with those in the NSS group, the Scr and BUN in the EPO group were significantly lower 24 h after the surgery (all P<0.05), and the pathology injury score also decreased (P<0.05). The proportion of RPCs, expressions of CD133 and PCNA, and expressions of Wnt7b and β-catenin protein were significantly higher after 24 h of the surgery in NSS group than those in the Sham group (all P<0.05). While compared with those in the NSS group, the proportion of RPCs and expressions of CD133, PCNA, Wnt7b and β-catenin increased at the EPO group (all P<0.05). Conclusions EPO can reduce the IRI after NSS, and its mechanism may be related to the mobilization of the RPCs by the Wnt7b/β-catenin signal pathway.