BACKGROUND:Cryopreservation can better ensure the integrity of the vascular structure.How to reduce its immunogenicity to improve rejection after transplantation has attracted more and more attention. OBJECTIVE:To review the research progress of freezing treatment to reduce vascular immunogenicity after allogeneic vascular transplantation in order to provide a reference for clinical research. METHODS:A systematic search of Chinese and English databases CNKI,WanFang and PubMed,as well as online websites Baidu and Google Scholar since the establishment of the database has published literature on reducing vascular immunogenicity after allogeneic vascular transplantation.Keywords were"cardiovascular disease,endothelial cells,cryopreservation,blood vessel transplantation or vascular graft,immunogenicity,immune rejection,allograft or allogeneic transplantation or allograft transplantation and cryoprotectant".A total of 68 articles were included according to the inclusion and exclusion criteria. RESULTS AND CONCLUSION:(1)The review found that the rejection of allogeneic vascular transplantation can be reduced by improving the existing freezing technology,which mainly involves the selection of freezing and thawing methods and cryoprotectants.(2)The existing research suggests that the freeze-drying method is superior to the low-temperature cryopreservation,but due to the limited conditions,it is still dominated by low-temperature cryopreservation.Among them,vitrification cryopreservation,slow rewarming and the use of stainless steel and even silver-containing materials are better than programmed cryopreservation and rapid rewarming.(3)The combined selection of permeable and non-permeable cryoprotectants can further reduce the occurrence of rejection while reducing their toxicity.

Objective To investigate the effects of a 45％high-fat diet(HFD)with isocaloric intake on energy metabolism and endurance exercise capacity in SD rats.Methods Twenty-four male SD rats were randomly divided into normal chow diet group(CON),HFD group,normal chow diet+exercise training group(CONT),and HFD+exercise training group(HFDT).The CON and CONT groups received normal chow diet,while the HFD and HFDT groups received a 45％high-fat diet with isocaloric intake.The HFDT and CONT groups underwent an endurance training of moderate-intensity running for 6 weeks.Body weight,fat mass,and lean mass were measured weekly.Energy expenditure and basal metabolic rate during rest and exercise states were measured using Pheno Master/Calo Treadmill system.Blood glucose,lipids,and creatine kinase levels were detected after the exhaustion test.Results In 6 weeks after intervention,the endurance exercise capacity was significantly enhanced in the HFDT group than the CONT group(P＜0.05).There were no obvious differences in body weight and body composition among the groups under isoenergetic feeding conditions.At rest,no statistical differences were observed in total energy expenditure and basal metabolic rate among the groups.However,prior to the 4th week,the CON group primarily metabolized carbohydrates while the HFD group primarily metabolized fats.But the carbohydrate metabolism was decreased and then increased,and the substrate metabolism rates eventually reached similar levels between the 2 groups on the 5th to 6th week.The HFDT group primarily metabolized fats while the CONT group primarily metabolized carbohydrates,with significant differences persisting after 6 weeks of training(P＜0.05).HFD led to elevated levels of serum cholesterol,triglycerides(TG),and high-density lipoprotein cholesterol(HDL-C),but,endurance training resulted in decreased lipid levels in the HFDT group,accompanied by an increase inβ-hydroxybutyrate(βHB)level(P＜0.05).Isoenergetic diets had no significant differences in their effects on liver and kidney function or muscle damage indicators.Conclusion An isoenergetic HFD can improve fat utilization ability and extend endurance exercise time in rats without altering body composition or affecting liver and kidney function.

Objective To develop a nutritional formula on enhancing the endurance of heavy load exercise,and evaluate its efficacy comprehensively.Methods Sixty C57BL/6J male mice were randomly divided into control group(CON group)and low-,medium-and high-dose nutritional formula groups(LDF,MDF and HDF groups),with 15 mice in each group.Each group received intervention with nutritional formula at corresponding dose for 2 weeks,and underwent adaptive training and heavy load exercise in the 1 st and 2nd weeks,respectively.Exhaustion exercise time,skeletal muscle antioxidant indicators(SOD,MDA,PC and GSH),fatigue related indicators(serum URA,LDH and LA),muscle glycogen,and serum exercise injury related indicators(ALT,AST,CK and CK-MB)were measured and detected in the mice,and comprehensive evaluation was conducted according to relevant evaluation standards.Results The LDF group,MDF group and HDF group had significantly prolonged running exhaustion time than the CON group(P＜0.05),with the HDF group showing the greatest improvement(P＜0.05).Compared with the CON group,the activities of SOD and GSH in the skeletal muscles were significantly increased(P＜0.05),while the levels of MDA and PC in skeletal muscles were obviously decreased in the 3 doses of nutritional formula groups(P＜0.05).PAS staining of the skeletal muscles displayed that the glycogen content was significantly increased in the MDF group and the HDF group than the CON group(P＜0.05),and the highest increase was observed in the HDF group(P＜0.05).Biochemical test revealed that the levels of LDH,LA,ALT,AST,CK,and CK-MB were remarkably lower in the 3 doses of nutritional formula groups than the CON group(P＜0.05).Conclusion The nutritional formula can significantly improve the endurance and skeletal muscle antioxidant capacity in mice under heavy load exercise,and has anti-fatigue and-injury protection effects.This nutritional formula can be used to support physical fitness during heavy load endurance exercise.

ObjectiveTo effectively organize the interdisciplinary knowledge of traditional Chinese medicine （TCM） and evidence-based medicine contained in the clinical trial literature of TCM and facilitate the processing and mapping of multi-source data， this paper organized the knowledge of clinical trial literature of TCM by ontology modeling. MethodThe seven-step method and skeleton method were used to develop the ontology. After the structure and language characteristics of TCM clinical trial literature were analyzed， the ontological and non-ontological resources such as top-level framework of Scientific Evidence and Provenance Information Ontology （SEPIO） and TCM language system （TCMLS） were reused to determine the domain concepts and attribute relationship. Finally， the core concepts and attribute relationship such as disease， syndrome， symptom， grouping， intervention measures， outcome indicators and literature quality information were determined. ResultThe information contained in the clinical trial literature of TCM was divided into five categories. According to the Cochrane risk of bias assessment tool and CONSORT 2010 statement， the literature quality evaluation information was mapped to the ontology， and a total of 68 categories， 8 object attributes， and 38 data attributes were established， which basically realized the structured expression of clinical trial literature. ConclusionThe ontology of TCM clinical trial literature constructed in this study can well organize， utilize， and present the construction and association of internal knowledge system in TCM clinical trial literature， underpinning the reasoning of strength of evidence and information of diagnosis and treatment in the future.

Objective:To investigate the transcriptomic mechanisms and clinical efficacy of D-CAG regimen for the treatment of acute myeloid leukemia (AML) after failure to initial induction of remission.Methods:The transcriptome data of AML cells before and after the use of dexitabine before August 28, 2021 was searched in Gene Expression Omnibus (GEO) database with "decitabine" as the search term. The R language package was used for differential expression analysis and Kyoto encyclopedia of genes and genomes (KEGG) and gene ontology (GO) enrichment analysis of the data. Protein-protein interaction network (PPI) analysis was conducted on the STRING online analysis website. The accurate treatment prediction platform designed based on logistic omics theory (EpiMed) was used to make drug-disease-target correlation analysis. The clinical data of 18 AML patients treated with D-CAG regimen after failure to induction of remission with standard anthracycline and cytarabine regimen ("3+7" regimen) in the 305th Hospital of Chinese PLA from October 8, 2015 to July 9, 2018 were searched and analyzed, and the curative effect was evaluated. The effects of the dose and duration of each drug on the efficacy were analyzed.Results:The transcriptome data of AML cells before and after the use of decitabine in GSE40442 dataset of the GPL5188 platform were finally selected, updated on July 10, 2014. A total of 366 differentially expressed genes were screened, including 201 up-regulated genes and 165 down-regulated genes. The differential genes were mainly related to cell cycle regulation, bone marrow leukocyte migration and differentiation, transcriptional regulation, bone marrow hematopoiesis and other signaling pathways. Ten core genes such as ANXA5, IL-10, THBS1, TLR4, JUN and CXCL12 were screened by PPI analysis. Drug-disease-target analysis showed that dexitabine had a potential therapeutic effect on various blood diseases such as diffuse large B-cell lymphoma, thrombocytopenia, T-cell acute lymphocytic leukemia, aplastic anemia, and AML. Of the 18 patients, after initial induction of remission, 7 (38.8%) patients achieved partial remission (PR), and 11 (61.2%) patients had no response (NR); after one cycle of re-induction remission therapy, 9 patients had complete remission (CR), 5 patients had PR, 4 patients had NR, and the overall response rate (ORR) was 77.8% (14/18). Compared with patients with NR, the CR rate was higher in patients with PR after initial induction therapy, which were 85.7% (6/7) and 27.3% (3/11), and the difference was statistically significant ( χ2=5.84, P = 0.025). The median duration of cytarabine in CR patients was longer than that in NR patients [10 d (7-14 d) vs. 5 d (2-8 d), Z = 3.89, P = 0.002] and the median ratio of the number of bone marrow blast cells to the duration cytarabine was lower in CR patients than that in NR patients [2.29 (0.89-9.10) vs. 8.10 (3.00-38.50), Z = -2.19, P = 0.006]; the median dose of cytarabine in CR patients was lower than NR patients, which were 50 mg·m -2·d -1 (30-150 mg·m -2·d -1) and 100 mg·m -2·d -1 (50-500 mg·m -2·d -1), and the difference was not statistically significant ( Z = -1.80, P = 0.074). Conclusions:AML patients with PR after initial induction and failure to initial induction of remission may be more likely to achieve CR after the treatment of D-CAG regimen, and this change may be related to the epigenetic regulation of decitabine.

Objective:To analyze the inflammatory mechanism and potential intervention drugs related to angiotensin converting enzyme 2 (ACE2) inhibitory mutations in order to provide reference for the treatment of corona virus disease 2019 (COVID-19).Methods:The data of lung adenocarcinoma with ACE2 mutations were screened from the cancer genome atlas (TCGA) database. The data were analyzed by R program language edgeR package and cluster Profiler package, gene ontology (GO)functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. Using String online analysis website for protein-protein interaction (PPI) network analysis, screening out the core genes, and finally using the Epigenomic Precision Medicine Prediction Platform (EpiMed) for multi-group association analysis of key genes, and drug candidates prediction.Results:A total of 1 005 differential genes were obtained, of which 91 were up-regulated and 914 down-regulated. A total of 71 GO were enriched, including 45 items related to biological processes, 16 items related to cell components, and 10 items related to molecular function. A total of 13 KEGG pathways were enriched, mainly in inflammatory pathways, various viral infectious diseases, transcriptional regulation, drug metabolism and protein digestion and absorption pathways. The differentially expressed genes were introduced into String online analysis website for PPI network analysis, a total of 252 proteins were obtained, and 10 core genes were H2A clustered histone 16(HIST1H2AL), H3 clustered histone 2 (HIST1H3B), H3 clustered histone 7 (HIST1H3F), H3 clustered histone 11 (HIST1H3I), H3 clustered histone 3 (HIST1H3C), H2B clustered histone 3 (HIST1H2BB), H2B clustered histone 6 (HIST1H2BI), H4 clustered histone 2 (HIST1H4B), H1-4 linker histone (HIST1H1E), H2A clustered histone 4 (HIST1H2AB). Interferon-α, resveratrol, celecoxib, heartleaf houttuynia herb, weeping forsythia capsule, dexamethasone, Chinese pulsatilla root, tumor necrosis factor-α inhibitors, liquorice root and famciclovir might be drugs for the treatment of ACE2 mutation-related inflammation.Conclusions:Inflammation associated with ACE2 inhibitory mutations is similar to the pathogenesis of COVID-19, which could lead to disease by promoting the activation of inflammatory pathways such as mitogen-activated protein kinase (MAPK), the Janus kinase signal transducer and activator of transcription (JAK/STAT), mammalian target of rapamycin (mTOR). Celecoxib, interferon and resveratrol may have the potential therapeutic effects on COVID-19.

Objective:To investigate whether TNM staging combined with systemic immune inflammation index (SII) has a high predictive value for the clinical prognosis of elderly patients with esophageal cancer.Methods:Clinical data of 118 elderly patients with esophageal cancer who received radiotherapy and chemotherapy were retrospectively analyzed, and the SII was calculated. SII and clinicopathological features were included in the Cox proportional risk model, and the prognostic index (PI) equation was obtained. Kaplan- Meier survival analysis was adopted. According to PI, the survival of patients was predicted and the predictive values of PI and TNM were statistically compared. Results:Univariate analysis showed that SII, N staging and TNM staging were closely correlated with the overall survival (all P<0.01). Cox multivariate analysis revealed that SII and N staging were the independent risk factors for overall survival. According to the results of Cox analysis, the equation of PI=0.961 × SII grouping+ 0.523 × N staging was obtained. The receiver operating characteristic (ROC) curve was drawn according to PI and overall survival, and the critical value was obtained and divided into different groups. The 1-, 2-and 3-year survival rates in the low-risk group were significantly higher than those in the high-risk group ( HR=0.365, 95% CI: 0.221-0.604, P<0.001). The prediction of overall survival by SII-N[area under curve (AUC)=0.707] was significantly better than that by TNM staging (AUC=0.560, P<0.001). Conclusion:This study preliminarily proves that the SII-N prognosis score model is better than the traditional TNM staging, which may have guiding significance for the selection of therapeutic strategies for elderly patients with esophageal cancer, and is worthy of further study.

After the New Coronary Pneumonia pandemic, people^'s social behavior has changed, and the current health management and development approaches should also change accordingly. This article analyzes the changes of social behavior during different anti-epidemic periods, demonstrates the necessity and possibility to change the current health management formats and development paths, and proposes a new concept of family-centered health management. The main target of the current urgent need for family health management is to expand the household entry units, build learning and sports units, etc. This article provides ideas for health management in the post-pandemic era.

Objective:To investigate the omics mechanism of SARS-related immune injury and predict targeted therapeutic drugs through clinical bioinformatics analysis of the transcriptome data of SARS virus in order to provide reference for clinical treatment of COVID-19.Methods:The transcriptome data of SARA virus were collected from the Gene Expression Oibus (GEO) and used to screen differential genes. Enrichment analysis and protein interaction analysis were performed to investigate the mechanism of immune damage associated with SARS. A platform of epigenetics in precision medicine (EpiMed) was established to predict potential therapeutic drugs.Results:The mechanism of SARS-related immune injury was complex, involving affecting the function of immune cells through signaling pathways such as Toll-like receptors, increasing cytokines in plasma through Th17 signaling pathway and inducing autoimmune responses after autoantibodies were generated by molecules such as IL-6, NF-κB, and TNF. Drugs such as Chuanqiong and Etanercept might have therapeutic effects on SARS-related immune damage.Conclusions:SARS virus could cause abnormal expression of many immune-related molecules and signaling pathways. Drugs such as Chuanqiong and Etanercept might have therapeutic effects on SARS-related immune damage. This study might provide reference for clinical treatment of COVID-19.

Objective:To analyze the mechanism and potential intervention drugs of acute lung injury caused by severe acute respiratory syndrome coronavirus (SARS-CoV) infection in order to provide reference for the treatment of COVID-19.Methods:Gene Expression Omnibus (GEO) announcement database was used to screen coronavirus transcriptome data, and R language package was used for differential expression analysis and Kyoto Gene and Genome Encyclopedia (KEGG) and Gene Ontology (GO) enrichment analysis. A protein-protein interaction (PPI) network analysis was carried out by using STRING online analysis website, and the key genes were screened. Then the Epigenomic Precision Medicine Prediction Platform (EpiMed) was used to analyze the association of key genes and predict potential therapeutic drugs.Results:Based on the whole genome expression profile data of SARS-CoV, a total of 3 606 differential genes were screened, including 2 148 up-regulated and 1 458 down-regulated. GO enrichment is mainly related to viral infection, leukocyte migration and adhesion, acute inflammation and collagen secretion. KEGG enrichment is mainly related to signal transduction, acute inflammation, immune response and so on. Ten key genes related to lung injury, such as PTPRC, TIMP1, ICAM1 and IL1B, were screened by protein interaction network analysis. EpiMed platform predicted that pulsatilla chinensis, polygonum cuspidatum, tumor necrosis factor-α inhibitors, famciclovir, fluvastatin and other drugs have potential therapeutic effects.Conclusions:SARS-CoV infection can cause lung injury by activating a series of inflammation-related molecules. Drugs that may be effective in the treatment of coronavirus infections, including pulsatilla chinensis, polygonum cuspidatum, tumor necrosis factor-α inhibitors, famciclovir and fluvastatin.