The number of patients with reduced blood volume due to haemorrhage, fractures, severe infections, extensive burns and tumours is increasing, and traditional blood products are no longer able to meet the increasing clinical demand. Therefore, plasma substitutes have become particularly important in fluid resuscitation, especially artificial colloidal solutions, which have a sustained volume expansion time and a good volume expansion effect, and can significantly improve the circulatory status of patients. This article aims to review the classification of artificial colloidal plasma substitutes and their research progress in clinical practice, in order provide a more rigorous, professional and standardized reference for medicine.

Objective To systematically summarize medication patterns and explore the potential mechanisms of core herbal combinations in treating chronic glomerulonephritis(CGN)based on data mining and network pharmacology,and to provide a reference for clinical treatment strategies.Methods Electronic book databases were searched to screen the CGN prescription from the works of contemporary Xin'an medical practitioners.Frequency statistics,association rule analysis,and clustering algorithms via the traditional Chinese medicine(TCM)Inheritance Support Platform V3.5 were applied to identify high-frequency herbs(frequency of use>10%)and core combinations.Active ingredients and potential targets were predicted using TCMSP,PubChem,and SwissTargetPrediction databases.Disease-related targets were retrieved from OMIM and GeneCards,after obtaining the intersecting targets,followed by protein-protein interaction(PPI)network construction(STRING platform),Cytoscape topological analysis,and GO and KEGG pathway enrichment(DAVID).Results A total of 151 prescriptions related to the treatment of CGN were included,involving 213 flavours of TCM,including 42 varites of high frequency drugs,mainly in the categories of supplementing deficiency,eliminating dampness and diuresis and clearing heat.Theherb properties were mainly cold,warm,and neutral,with flavors of sweet,bitter,and pungent.Herbs primarily targeted the liver,lung,kidney,and spleen meridians.Thecore combination"Astragali Radix,Dioscorea Rhizome,Atractylodis Macrocephalae Rhizoma,Imperata Rhizome,Pyrrosiae Folium,Poria"was identified,with key active ingredients including quercetin,stigmasterol,and β-sitosterol.Core targets involved IL6,EGFR,TNF,AKT1,and PIK3CA,while enriched pathways included PI3K-Akt and AGE-RAGE signaling.Conclusion Contemporary Xin'an practitioners primarily treat CGN by tonifying the spleen,nourishing the kidney,and clearing damp-heat.Thecore herbal combination exerts synergistic effects through multi-target intervention in immune-inflammatory pathways,oxidative stress,and fibrotic pathways,highlighting the holistic therapeutic advantages of TCM formulas via multi-component synergistic regulation and multi-target interactions.This study provides a theoretical foundation for further experimental validation and clinical applications.

Objective To systematically summarize medication patterns and explore the potential mechanisms of core herbal combinations in treating chronic glomerulonephritis(CGN)based on data mining and network pharmacology,and to provide a reference for clinical treatment strategies.Methods Electronic book databases were searched to screen the CGN prescription from the works of contemporary Xin'an medical practitioners.Frequency statistics,association rule analysis,and clustering algorithms via the traditional Chinese medicine(TCM)Inheritance Support Platform V3.5 were applied to identify high-frequency herbs(frequency of use>10%)and core combinations.Active ingredients and potential targets were predicted using TCMSP,PubChem,and SwissTargetPrediction databases.Disease-related targets were retrieved from OMIM and GeneCards,after obtaining the intersecting targets,followed by protein-protein interaction(PPI)network construction(STRING platform),Cytoscape topological analysis,and GO and KEGG pathway enrichment(DAVID).Results A total of 151 prescriptions related to the treatment of CGN were included,involving 213 flavours of TCM,including 42 varites of high frequency drugs,mainly in the categories of supplementing deficiency,eliminating dampness and diuresis and clearing heat.Theherb properties were mainly cold,warm,and neutral,with flavors of sweet,bitter,and pungent.Herbs primarily targeted the liver,lung,kidney,and spleen meridians.Thecore combination"Astragali Radix,Dioscorea Rhizome,Atractylodis Macrocephalae Rhizoma,Imperata Rhizome,Pyrrosiae Folium,Poria"was identified,with key active ingredients including quercetin,stigmasterol,and β-sitosterol.Core targets involved IL6,EGFR,TNF,AKT1,and PIK3CA,while enriched pathways included PI3K-Akt and AGE-RAGE signaling.Conclusion Contemporary Xin'an practitioners primarily treat CGN by tonifying the spleen,nourishing the kidney,and clearing damp-heat.Thecore herbal combination exerts synergistic effects through multi-target intervention in immune-inflammatory pathways,oxidative stress,and fibrotic pathways,highlighting the holistic therapeutic advantages of TCM formulas via multi-component synergistic regulation and multi-target interactions.This study provides a theoretical foundation for further experimental validation and clinical applications.

ObjectiveTo explore the mechanism of Huanglian Jiedutang in inhibiting the pyroptosis mediated by NOD-like receptor protein 3 （NLRP3） inflammasomes and alleviating the acute liver injury （ALI） induced by lipopolysaccharide （LPS） in the mouse model of sepsis. MethodFifty-four male C57BL/6 mice were randomized into blank， model， low- （3.08 g·kg^-1）， medium- （6.15 g·kg^-1）， and high-dose （12.30 g·kg^-1） Huanglian Jiedutang， and positive control （dexamethasone） groups （n=9）. The mice were administrated with Huanglian Jiedutang at different doses by gavage for 7 days， and then LPS （15 mg·kg^-1） was injected intraperitoneally for the modeling of sepsis. In the positive control group， dexamethasone （0.05 g·kg^-1） was injected intraperitoneally 1.5 h after modeling， and the mouse sepsis score （MSS） was recorded 12 h after modeling. The mice were sacrificed for the collection of blood and liver tissue samples. The levels of alanine transaminase （ALT） and aspartate transaminase （AST） were measured by a biochemical analyzer. The levels of tumor necrosis factor （TNF）-α， interleukin （IL）-6， IL-1β， and IL-18 in the serum were measured by enzyme-linked immunosorbent assay kits. Hematoxylin-eosin staining was used to observe the pathological changes in the liver tissue. The content of NLRP3 was observed by the immunofluorescence assay. The expression of apoptosis-associated speck-like protein containing CARD （ASC） was detected by immunohistochemistry. The protein levels of NLRP3， ASC， Caspase-1， and gasdermin D （GSDMD） in the liver tissue were determined by Western blot. Real-time quantitative polymerase chain reaction（Real-time PCR） was employed to determine the mRNA levels of GSDMD， Caspase-1， IL-1β， and IL-18. ResultCompared with the blank group， the model group showed elevated levels of ALT and AST （P<0.01） and risen levels of inflammatory cytokines in the serum （P<0.01）. In addition， the modeling resulted in edema and necrosis in the liver， and up-regulated the protein levels of GSDMD， NLRP3， ASC， and Caspase-1 （P<0.01） and the mRNA levels of GSDMD， Caspase-1， IL-1β， and IL-18 （P<0.01）. Compared with the model group， the drug intervention groups showed reduced content of inflammatory cytokines （P<0.01）， alleviated pathological damage in the liver tissue， and down-regulated protein levels of GSDMD， NLRP3， ASC， and Caspase-1 （P<0.05，P<0.01） and mRNA levels of GSDMD， Caspase-1， IL-1β， and IL-18 （P<0.05，P<0.01） in the liver tissue. ConclusionHuanglian Jiedutang can inhibit pyroptosis and reduce inflammation by inhibiting the activation of NLRP3 inflammasomes， thus demonstrating a therapeutic effect on acute liver injury in the mouse model of sepsis induced by LPS.

Objective To investigate the cognition of colorectal cancer-related knowledge and influencing factors of patients with middle- and advanced-stage colorectal cancer in ethnic minority areas of Inner Mongolia. Methods According to the national population and the prevalence of colorectal cancer, 277 patients with colorectal cancer were selected by stratified and random sampling in Inner Mongolia. The patients were surveyed in Baotou, Chifeng, Bayannaoer, and other hospitals. The questionnaire included patients' basic information, cognition of colorectal cancer risk factors and screening knowledge, screening information, etc. Results Before suffering from the disease, the patients' knowledge of colorectal cancer (risk factors, early screening knowledge, treatment methods) was low. About 54.9% of patients were unaware of high risk factors for colorectal cancer, 75.8% of patients did not understand the knowledge of early screening of colorectal cancer, and 37.5% of patients did not underst and the treatment of colorectal cancer. The main influencing factors of colorectal cancer cognition were education level and occupation. Patients who work in institutions and enterprises and with higher education level had better cognition. Conclusion Patients with middle- and advanced-stage colorectal cancer in Inner Mongolia have poor knowledge and awareness of risk factors and screening of colorectal cancer before diagnosis. Education level and occupation are factors influencing colorectal cancer cognition, therefore, people with low knowledge rate of colorectal cancer and low education level as well as unemployed laid-off people should be given priority intervention.