Objective:To establish and evaluated a logistic regression model for predicting the acute biliary pancreatitis (ABP) based on liver-injury related indexes.Methods:Clinical data of 210 patients diagnosed with acute pancreatitis (AP) at the Affiliated Hospital of Jiangnan University from October 2020 to December 2022 were retrospectively analyzed, including 113 males and 97 females, with a median age of 52 years (range, 43 to 58). Among these, 88 were diagnosed with ABP and 122 with acute non-biliary pancreatitis (ANBP). Additionally, a test cohort was created using data from 101 AP patients diagnosed between January and December 2023, including 60 males and 41 females, with a median age of 53 years (range, 43 to 63). Based on the original dataset, univariate and multivariate logistic regression analyses were conducted to identify the factors influencing ABP. A prediction probability formula (Pre) was then established based on the multivariate results. The effectiveness of each indicator in predicting ABP was evaluated using the receiver operating characteristic (ROC) curve. The ROC curve analysis determined the optimal cutoff value of Pre, which was subsequently used to diagnose ABP and ANBP in the test cohort.Results:Multivariate logistic regression analysis showed the factors influencing ABP include direct bilirubin (DBIL), alanine aminotransferase (ALT), aspartate aminotransferase (AST), cholinesterase (CHE), and fibrinogen (FIB). Based on the multivariate analysis results, the prediction probability formula (Pre) for ABP was established as follows: P=1/{1+ exp[-(4.807+ 0.134×DBIL-1.859×AST/ALT-0.0003×CHE-0.387×FIB)]}. ROC curve analysis revealed that the area under the curve (AUC) for Pre in predicting ABP was 0.858, with an optimal cutoff value of 0.56, at which the sensitivity was 69.3% and the specificity was 91.0%. Using the cutoff value of 0.56 for Pre, ABP was diagnosed when Pre≥0.56 and ANBP was diagnosed when Pre<0.56. This criterion was applied to diagnose patients in the test cohort, where the sensitivity and specificity of Pre for diagnosing ABP were 86.1% and 92.3%, respectively.Conclusion:The logistic regression model based on liver injury-related indicators is a valuable tool for clinically assessing the incidence of ABP.

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 establish and evaluated a logistic regression model for predicting the acute biliary pancreatitis (ABP) based on liver-injury related indexes.Methods:Clinical data of 210 patients diagnosed with acute pancreatitis (AP) at the Affiliated Hospital of Jiangnan University from October 2020 to December 2022 were retrospectively analyzed, including 113 males and 97 females, with a median age of 52 years (range, 43 to 58). Among these, 88 were diagnosed with ABP and 122 with acute non-biliary pancreatitis (ANBP). Additionally, a test cohort was created using data from 101 AP patients diagnosed between January and December 2023, including 60 males and 41 females, with a median age of 53 years (range, 43 to 63). Based on the original dataset, univariate and multivariate logistic regression analyses were conducted to identify the factors influencing ABP. A prediction probability formula (Pre) was then established based on the multivariate results. The effectiveness of each indicator in predicting ABP was evaluated using the receiver operating characteristic (ROC) curve. The ROC curve analysis determined the optimal cutoff value of Pre, which was subsequently used to diagnose ABP and ANBP in the test cohort.Results:Multivariate logistic regression analysis showed the factors influencing ABP include direct bilirubin (DBIL), alanine aminotransferase (ALT), aspartate aminotransferase (AST), cholinesterase (CHE), and fibrinogen (FIB). Based on the multivariate analysis results, the prediction probability formula (Pre) for ABP was established as follows: P=1/{1+ exp[-(4.807+ 0.134×DBIL-1.859×AST/ALT-0.0003×CHE-0.387×FIB)]}. ROC curve analysis revealed that the area under the curve (AUC) for Pre in predicting ABP was 0.858, with an optimal cutoff value of 0.56, at which the sensitivity was 69.3% and the specificity was 91.0%. Using the cutoff value of 0.56 for Pre, ABP was diagnosed when Pre≥0.56 and ANBP was diagnosed when Pre<0.56. This criterion was applied to diagnose patients in the test cohort, where the sensitivity and specificity of Pre for diagnosing ABP were 86.1% and 92.3%, respectively.Conclusion:The logistic regression model based on liver injury-related indicators is a valuable tool for clinically assessing the incidence of ABP.

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 explore whether the effect of urine-derived stem cells(USCs)on chondro-cytes in osteoarthritis(OA)is related to the PI3K/AKT pathway.Methods Human urine was collected aseptically,and primary USCs were isolated and cultured through specific steps.Meanwhile,chondro-cytes were extracted from the knee joints of Sprague-Dawley rats to establish the OA model.USCs were co-cultured with OA chondrocytes by using Transwell co-culture system,and the transcriptome changes of chondrocytes before and after co-culture were analyzed by using the high-throughput RNA sequencing.Moreover,the phosphorylation levels of key proteins of the PI3K/AKT/mTOR pathway were detected using protein immunoblotting,and the PI3K agonist 740 Y-P was employed to further vali-date the relationship between the protective effect of USCs on OA chondrocytes,as well as its possi-ble relationship to the PI3K/AKT pathway and the possible mechanism.Results Transcriptomic analysis showed that the protective effect of USCs on OA chondrocytes might be related to the'PI3K-Akt sig-naling pathway'.Protein level analysis confirmed that USCs significantly inhibited the PI3K/AKT/mTOR pathway in OA chondrocytes.Moreover,protein immunoblotting and immunofluorescence showed that USCs improved the expression of OA-related proteins and autophagy-related proteins in OA chondro-cytes.What's more,the inhibitory effect of USCs on the PI3K/AKT/mTOR pathway was partially re-versed by using the PI3K agonist 740 Y-P,while the protective and autophagy-promoting effects of USCs on OA chondrocytes were down-regulated.Conclusion This study reveals the potential protective effect of USCs on OA chondrocytes through inhibition of the PI3K/AKT/mTOR signalling pathway and its close correlation with improved autophagy.Therefore,it provides a research basis and theoretical support for the future application of USCs in the treatment of OA.

Objective To explore whether the effect of urine-derived stem cells(USCs)on chondro-cytes in osteoarthritis(OA)is related to the PI3K/AKT pathway.Methods Human urine was collected aseptically,and primary USCs were isolated and cultured through specific steps.Meanwhile,chondro-cytes were extracted from the knee joints of Sprague-Dawley rats to establish the OA model.USCs were co-cultured with OA chondrocytes by using Transwell co-culture system,and the transcriptome changes of chondrocytes before and after co-culture were analyzed by using the high-throughput RNA sequencing.Moreover,the phosphorylation levels of key proteins of the PI3K/AKT/mTOR pathway were detected using protein immunoblotting,and the PI3K agonist 740 Y-P was employed to further vali-date the relationship between the protective effect of USCs on OA chondrocytes,as well as its possi-ble relationship to the PI3K/AKT pathway and the possible mechanism.Results Transcriptomic analysis showed that the protective effect of USCs on OA chondrocytes might be related to the'PI3K-Akt sig-naling pathway'.Protein level analysis confirmed that USCs significantly inhibited the PI3K/AKT/mTOR pathway in OA chondrocytes.Moreover,protein immunoblotting and immunofluorescence showed that USCs improved the expression of OA-related proteins and autophagy-related proteins in OA chondro-cytes.What's more,the inhibitory effect of USCs on the PI3K/AKT/mTOR pathway was partially re-versed by using the PI3K agonist 740 Y-P,while the protective and autophagy-promoting effects of USCs on OA chondrocytes were down-regulated.Conclusion This study reveals the potential protective effect of USCs on OA chondrocytes through inhibition of the PI3K/AKT/mTOR signalling pathway and its close correlation with improved autophagy.Therefore,it provides a research basis and theoretical support for the future application of USCs in the treatment of OA.

Panax ginseng(PG)and Panax notoginseng(PN)are highly valuable Chinese medicines(CM).Although both CMs have similar active constituents,their clinical applications are clearly different.Over the past decade,RNA sequencing(RNA-seq)analysis has been employed to investigate the molecular mechanisms of extracts or monomers.However,owing to the limited number of samples in standard RNA-seq,few studies have systematically compared the effects of PG and PN spanning multiple conditions at the transcriptomic level.Here,we developed an approach that simultaneously profiles transcriptome changes for multiplexed samples using RNA-seq(TCM-seq),a high-throughput,low-cost workflow to molecularly evaluate CM perturbations.A species-mixing experiment was conducted to illustrate the accuracy of sample multiplexing in TCM-seq.Transcriptomes from repeated samples were used to verify the robustness of TCM-seq.We then focused on the primary active components,Panax notoginseng sa-ponins(PNS)and Panax ginseng saponins(PGS)extracted from PN and PG,respectively.We also char-acterized the transcriptome changes of 10 cell lines,treated with four different doses of PNS and PGS,using TCM-seq to compare the differences in their perturbing effects on genes,functional pathways,gene modules,and molecular networks.The results of transcriptional data analysis showed that the tran-scriptional patterns of various cell lines were significantly distinct.PGS exhibited a stronger regulatory effect on genes involved in cardiovascular disease,whereas PNS resulted in a greater coagulation effect on vascular endothelial cells.This study proposes a paradigm to comprehensively explore the differences in mechanisms of action between CMs based on transcriptome readouts.

Objective:The article aims to explore the positive promoting effect of the construction of a medical university’s incubation platform on the Industry-University-Institute cooperation and biomedical scientific and technological achievements transformation.Methods:Through literature review, the article studied the existing mode of Industry-University-Institute cooperation in universities, analyzed the main bottlenecks, and summarized the practical exploration experience of ″Shanghai Pharmaceuticals-SJTUSM Innovative Achievements″ incubation platform.Results:The incubation platform effectively promoted the process and system construction of the scientific and technological achievements transformation in the university, and improved the project mining level and platform support function.Conclusions:The practical exploration of the incubation platform lays a foundation for the construction of the biomedical industrial park. Through the in-depth construction of the " Government-Industry-University-Institute-Investment-Inventor" development chain, the platform can help to promote strategic innovation and industrialization of achievements, making the " first-in-class" medicine in China.

BACKGROUND:Considering the risk of lack of bone in revision and the bone coverage of component,it is advisable to use bone grafting to increase bone stock in patients with adult Crowe type Ⅲ developmental dysplasia of the hip (DDH) in the first total hip arthroplasty (THA).OBJECTIVE:To investigate the effectiveness of impaction bone grafting with morselized bone and bone paste for acetabular defects of adult Crowe type Ⅲ DDH in THA.METHODS:Forty cases (45 hips) of Crowe type Ⅲ DDH were enrolled,including 8 males and 32 females,aged 31-68 years.All the components were reconstructed at the anatomic acetabulum combined with deepening acetabulum and putting the centre of rotation medially and distally during THA procedures.The patients were all followed up and evaluated with Harris score,limp length,displacement of the centre of rotation,cup coverage,and postoperative complications.RESULTS AND CONCLUSION:The average follow-up was 32.7 months.Acetabular rotation centers of all the cases were recovered (near) to normal.The incisions healed by first intention and there was no complication such as infection,dislocation,prosthesis loosening.The acetabular cup prosthesis did not displace and was covered well by bone at the last follow-up,the grafted bone particles got radiological osseointegration and the bone sclerosis zone disappeared.No radiolucent lines and screw fracture were detected.The Harris scores of affected hips at the last follow-up were significantly higher than those before surgery(P=0).The average leg length was increased (2.31 ±0.18) cm.The mean cup coverage was 78.1％.The postoperative horizontal and vertical distance of the hip center were shorter than those before surgery (P=0).Reconstructing the acetabulum with autogenous morselized bone graft impaction can effectively restore the acetabular coverage,maintain the stability of acetabular cup and provide better relative bone stock in THA for Crowe type Ⅲ DDH in adult,and moreover,the short-term effect is satisfactory.