Background and purpose:Gastric cancer,as one of the most common malignant tumors,requires early diagnosis and treatment to improve patient prognosis.This study,based on serum quantitative proteomics research of early-stage gastric cancer patients and non-gastric cancer patients,aims to identify potential diagnostic biomarkers for early gastric cancer.Methods:Serum samples from primary gastric cancer patients and healthy control individuals were collected from Lanzhou University Second Hospital between June and December 2023,following inclusion and exclusion criteria.A protein spectral library was established using Data-Dependent Acquisition(DDA)mode,and each sample was analyzed using Data-Independent Acquisition(DIA)mode.The STRING database was used to analyze protein-protein interactions of upregulated proteins in gastric cancer serum.Kyoto Encyclopedia of Genes and Genomes(KEGG)and Gene Ontology(GO)were used to analyze the pathways and functional annotations of the corresponding genes.Gene expression levels in gastric cancer and non-gastric cancer tissues were analyzed using GEPIA 2,and overall survival of each gene in gastric cancer was analyzed using Kaplan-Meier Plotter.Differential gene expression in clinical gastric cancer and adjacent tissues was validated by quantitative reverse transcription polymerase chain reaction(qRT-PCR)This study was approved by the Ethics Committee of Lanzhou University Second Hospital(Ethical No.:2023A-459)and was exempt from the informed consent.Results:Finally,serum samples from 30 primary gastric cancer patients,29 healthy control individuals,along with the para-cancerous tissues from 8 patients were collected.A total of 666 intersecting proteins were identified through serum quantitative proteomics.Among them,16 proteins showed upregulated expression and 22 proteins showed downregulated expression in the gastric cancer group(P＜0.05,|FC|≥1.5).STRING database analysis showed that 10 upregulated proteins were involved in interaction networks.KEGG and GO analysis indicated that these genes were closely related to the biological processes of cancer occurrence and development.GEPIA 2 and Kaplan-Meier Plotter analysis showed that 6 genes,B2M,TAGLN2,CTSD,HSP90AB1,SH3BGRL3,and CFL1,which were highly expressed in the gastric cancer group(P＜0.05)and associated with poor prognosis.Clinical verification by qRT-PCR confirmed that TAGLN2,CTSD,SH3BGRL3,CFL1 and HSP90AB1 were highly expressed in gastric cancer tissues(P＜0.05).Conclusion:TAGLN2,CTSD,SH3BGRL3,CFL1,and HSP90AB1 have the potential to serve as clinical early gastric cancer diagnostic serum biomarkers,which may facilitate early diagnosis and treatment of gastric cancer.

Based on the core collection retrieval of the Web of Science database,researches related to the medicinal field of plant-derived vesicles(PDVs)were retrieved.The research hotspots and their changes in the pharmaceutical field of PDVs are visually analyzed by using bibliometric software VOSviewer and CiteSpace.A detailed discussion is held around the author,institution,country,key research hotspots and annual develop-ment hotspots,revealing the current research status of PDVs in the pharmaceutical field and predicting future trends,which provides valuable perspectives for researchers to understand the current research status of PDVs in the pharmaceutical field and discover possible unexplored areas in this field.

Background and purpose:Gastric cancer,as one of the most common malignant tumors,requires early diagnosis and treatment to improve patient prognosis.This study,based on serum quantitative proteomics research of early-stage gastric cancer patients and non-gastric cancer patients,aims to identify potential diagnostic biomarkers for early gastric cancer.Methods:Serum samples from primary gastric cancer patients and healthy control individuals were collected from Lanzhou University Second Hospital between June and December 2023,following inclusion and exclusion criteria.A protein spectral library was established using Data-Dependent Acquisition(DDA)mode,and each sample was analyzed using Data-Independent Acquisition(DIA)mode.The STRING database was used to analyze protein-protein interactions of upregulated proteins in gastric cancer serum.Kyoto Encyclopedia of Genes and Genomes(KEGG)and Gene Ontology(GO)were used to analyze the pathways and functional annotations of the corresponding genes.Gene expression levels in gastric cancer and non-gastric cancer tissues were analyzed using GEPIA 2,and overall survival of each gene in gastric cancer was analyzed using Kaplan-Meier Plotter.Differential gene expression in clinical gastric cancer and adjacent tissues was validated by quantitative reverse transcription polymerase chain reaction(qRT-PCR)This study was approved by the Ethics Committee of Lanzhou University Second Hospital(Ethical No.:2023A-459)and was exempt from the informed consent.Results:Finally,serum samples from 30 primary gastric cancer patients,29 healthy control individuals,along with the para-cancerous tissues from 8 patients were collected.A total of 666 intersecting proteins were identified through serum quantitative proteomics.Among them,16 proteins showed upregulated expression and 22 proteins showed downregulated expression in the gastric cancer group(P＜0.05,|FC|≥1.5).STRING database analysis showed that 10 upregulated proteins were involved in interaction networks.KEGG and GO analysis indicated that these genes were closely related to the biological processes of cancer occurrence and development.GEPIA 2 and Kaplan-Meier Plotter analysis showed that 6 genes,B2M,TAGLN2,CTSD,HSP90AB1,SH3BGRL3,and CFL1,which were highly expressed in the gastric cancer group(P＜0.05)and associated with poor prognosis.Clinical verification by qRT-PCR confirmed that TAGLN2,CTSD,SH3BGRL3,CFL1 and HSP90AB1 were highly expressed in gastric cancer tissues(P＜0.05).Conclusion:TAGLN2,CTSD,SH3BGRL3,CFL1,and HSP90AB1 have the potential to serve as clinical early gastric cancer diagnostic serum biomarkers,which may facilitate early diagnosis and treatment of gastric cancer.

【Objective】 To observe the effect of glutaraldehyde polymerized bovine hemoglobin injection (code: HSRP1) oxygen-carrying fluid on early perfusion of severe hemorrhagic anemia in rabbits. 【Methods】 The rabbit model of controlled severe hemorrhagic anemia was established. Twelve modeled rabbits were divided into glutaraldehyde polymerized bovine hemoglobin injection (code: HSRP1) group and sodium lactate ringer′s injection (LR) group, with 6 rabbits in each group(half male and half female). HSPR1 group and LR group were treated with HSRP1 and LR, respectively. The survival rate of experimental rabbits was observed, and the indexes of hemodynamics, venous blood gas, plasma hemoglobin, base surplus, lactic acid and bicarbonate were measured before and after blood loss, as well as each point within 24 h after infusion. 【Results】 The survival rate of HSRP1 group was significantly different from that of LR group (P<0.05); After exsanguination, the mean arterial pressure of each group was significantly different from that before exsanguination (P<0.05), but there was no significant difference between HSPR1 group and LR group after infusion; In the second stage of perfusion, the blood lactate concentration and base excess in the HSRP1 group were significantly different from those in the LR group at each time point (P<0.05), at 2 h after perfusion, the respiratory rate started to differ significantly from that of the LR group (P<0.05), heart rate was significantly different from LR group at 4 h after perfusion(P<0.05); There were no significant differences between HSRP1 group and LR group in plasma venous oxygen partial pressure, venous oxygen saturation and plasma hemoglobin at all time points. 【Conclusion】 HSPR1 is used for severe traumatic hemorrhagic shock in rabbits, and can improve the survival rate of experimental rabbits by providing oxygen to hypoxic tissues and correcting anaerobic metabolism. As a new oxygen-carrying fluid, HSPR1 can correct the oxygen supply balance of patients with severe hemorrhagicanemia in early stage.

Hemoglobin-based oxygen carriers(HBOCs) is a category of artificial blood substitute with efficient oxygen carrying and delivery functions. Due to the outstanding oxygen-carrying properties of HBOCs, the studies of expanding its clinical applications are undergoing rapidly. Studies have shown the efficacy of HBOCs in organ transplantation as machine perfusion solution in maintaining the organ metabolism or meliorating the margin donor organ quality with promising perspectives. This article aims to review the application status and prospect of HBOCs in organ transplantation in recent years.