BACKGROUND:High tibial osteotomy results in massive blood loss during the perioperative period.Tranexamic acid can effectively reduce perioperative blood loss.However,the method of tranexamic acid application has not been unified. OBJECTIVE:To investigate the effect and safety of different methods of tranexamic acid on perioperative blood loss in the high tibial osteotomy. METHODS:A total of 160 patients who underwent primary unilateral high tibial osteotomy in the Binzhou Medical University Hospital from January 2019 to December 2021,including 69 males and 91 females,were randomly divided into four groups(n=40 per group).Among them,40 patients were given an intravenous infusion of saline containing 2 g tranexamic acid 10 minutes before tourniquet release(venous group);40 patients were given an intravenous infusion of 1 g tranexamic acid and 1 g tranexamic acid was injected through a drainage tube after the closure of the incision(combined group);40 patients were given 2 g tranexamic acid infusion into drainage tube after the closure of the incision(perfusion group);an additional 40 patients were given an intravenous infusion of the same amount of normal saline(blank group).The general information was compared among the four groups of patients.The hemoglobin,hematocrit,intraoperative blood loss,drainage volume,blood transfusion rate,incision complication,and the incidence of deep vein thrombosis were recorded on days 1,3 and 5 after operation in the four groups.The total blood loss and hidden blood loss were calculated. RESULTS AND CONCLUSION:(1)There was no statistically significant difference in general information among the four groups.(2)No significant difference was found in intraoperative blood loss among the four groups.(3)The maximum decreased values of hemoglobin and hematocrit on days 1,3 and 5 after operation,drainage volume,total blood loss and hidden blood loss were all ranked as the combined group

Objective:To establish a predictive risk model for acute kidney injury (AKI) in acute myocardial infarction (AMI) patients based on machine learning algorithm and compare with a traditional logistic regression model.Methods:It was a retrospective study. The demographic data, laboratory examination, treatment regimen and medication of AMI patients from July 2011 to December 2016 in Beijing Anzhen Hospital, Capital Medical University were collected. The diagnostic criteria of AKI were based on the AKI diagnosis and treatment guidelines published by Kidney Diseases: Improving Global Outcomes in 2012. The selected AMI patients were randomly divided into training set (70%) and internal test set (30%) by simple random sampling. SelectFromModel and Lasso regression models were used to extract clinical parameters as predictors of AKI in AMI patients. Logistic regression model (model A) and machine learning algorithm (model B) were used to establish the risk prediction model of AKI in AMI patients. DeLong method was used to compare the area under the receiver-operating characteristic (ROC) curve ( AUC) between model A and model B for selecting the best model. Results:A total of 6 014 AMI patients were included in the study, with age of (58.4±11.7) years old and 3 414 males (80.5%). There were 674 patients (11.2%) with AKI. There were 4 252 patients (70.7%) in the training set and 1 762 patients (29.3%) in the test set. The selected twelve clinical parameters by the SelectFromModel and Lasso regression models included the number of myocardial infarctions, ST-segment elevation myocardial infarction, ventricular tachycardia, third degree atrioventricular block, decompensated heart failure at admission, admission serum creatinine, admission blood urea nitrogen, admission peak creatine kinase isoenzyme, diuretics, maximum daily dose of diuretics, days of diuretic use and statins. Logistic regression prediction model showed that AUC for the test set was 0.80 (95% CI 0.76-0.84). The machine learning algorithm model obtained AUC in the test set with 0.82 (95% CI 0.78-0.85).There was no significant difference in AUC between the two models ( Z=0.858, P=0.363), and AUC of the machine learning algorithm predictive model was slightly higher than that of the traditional logistic regression model. Conclusions:The prediction effect of AKI risk in AMI patients based on machine learning algorithm is similar to that of traditional logistic regression model, and the prediction accuracy of machine learning algorithm is better. The introduction of machine learning algorithm model may improve the ability to predict AKI risk.

Ion concentration polarization (ICP) is an electrical transport phenomenon that occurs at the micro-nano interface under the action of an applied electric field, and the ICP phenomenon can be used to enrich charged particles with high efficiency. The microfluidic chip has the advantages of high precision, high efficiency, easy integration and miniaturization in biochemical analysis, which provides a new solution and technical way for biochemical analysis. In response to the demand for the detection of trace charged target analytes in sample solution, the advantages of high enrichment multiplicity, convenient operation and easy integration of ICP are utilized to provide an effective way for microfluidic biochemical detection. The combination of ICP phenomenon and microfluidic analysis technology has been widely used in the fields of pre-enrichment of charged particles, separation of targets, and detection of target analytes in biochemical analysis. In this paper, the principle of ICP and the microfluidic ICP chip are briefly introduced. Under the action of external electric field, the co-ions pass through the ion-selective nanochannel, the counterions are rejected at the boundary of nanochannel to form a depletion zone, and the charged samples will be enriched at the boundary of the depletion zone. Then the preparation techniques and methods of ICP chips are summarized. Among them, the design of microfluidic channel structure and the preparation and design of nanostructures are emphasized. The basic single-channel structure is analyzed, and the parallel-channel structure as well as the integrated multi-functional microfluidic ICP chip are sorted out and summarized. The preparation methods of nanostructures in ICP chips and their respective advantages and disadvantages are listed, and it is summarized that the current mainstream means are the embedding method and the self-assembly method, and attention is paid to the design of nanostructures preparation methods by both of them. In addition, this paper also discusses how to optimize the enrichment efficiency of ICP chip, through the introduction of multi-field coupling, valve control and other means to achieve the optimization of the enrichment efficiency of target substances. Meanwhile, this paper provides a classified overview of the progress of application of ICP chips in biochemical analysis and detection. ICP chips have been widely used in the research and development of biosensors, which can be used for the enrichment and separation of a variety of analytes including small molecules, nucleic acids, proteins, and cells, etc. By changing the design of microfluidic structures, integrating detection methods and modifying specific antibodies, ICP chips have shown great potential in the fields of rapid enrichment and pre-processing of targets, separation of targets and highly sensitive detection. Finally, it is pointed out that ICP chips are facing challenges in improving enrichment efficiency and selectivity, and solving the problems of fluid control, mixing and transport to match the biological properties of target assay, and that microfluidic ICP chips have been continuously promoting the development of ICP chips through the improvement of materials, chip design and integration of multifunctional units, opening up new possibilities in the field of biochemical analysis methods and applications. It can be seen that microfluidic ICP chips have the advantages of low sample flow rate, good separation and enrichment, high detection efficiency, and easy integration and miniaturization, which have shown good research significance and practical prospects in the field of biochemical detection.

ObjectiveTo construct a macro-evaluation tool for dampness syndrome （DS） animal model， which will provide a basis for experimental research on dampness syndrome in traditional Chinese medicine （TCM）. MethodsConceptual framework of this study was clarified through discussions within the core working group， and dimensions of the evaluation of the animal model of DS were identified according to TCM principles. We searched CNKI， Wanfang， VIP and SinoMed databases from the inception to June 30th， 2023， on experiments involving dampness syndrome animals to create a pool of items about DS animal models. The core items were selected and extracted for factor analysis and cluster analysis. An expert importance rating questionnaire was developed based on the results of the literature review， analyzing the distribution of item scores， importance averages， and coefficient of variation. Through a comprehensive analysis of literature， expert importance scoring， and specific expert opinions， items that did not meet anyone of the criteria of average importance rating ≥2.04， coefficient of variation ≤30%， or literature eva-luation frequency ≥2% were removed， thereafter， the macro-evaluation tool for DS animal model was preliminarily constructed. ResultsSpirit and body state， autonomic activity state， body surface characteristics， diet， urination and defecation， tongue manifestation， and motor behavior assessment were constructed as the seven dimensions in the evaluation of DS animal model. A total of 348 papers about animal experiments were included and analyzed， resulting in a saturated pool of 72 items， which was refined to 38 core items of DS animal models. Factor analysis obtained 16 common factors， which were further clustered into two categories， named dampness transforming from heat syndrome and dampness transforming from cold syndrome. The expert importance scoring showed that the Kendall harmony coefficient was 0.359 （P＜0.05） indicating a high level of agreement， coordination and reliability among the experts. Notably， 50% or more of the experts considered the items thick and greasy tongue coating， unclean perianal area， loose stools， lethargy， unformed stools， and listless expression as very important. The median scores for all items were 2.04（1.73， 2.37）， with a coefficient of variation ranging from 19.73% to 53.38%. After expert evaluation， the macro-evaluation tool for DS animal model in TCM with 33 items and corresponding criteria for assessing the formation of DS models was finally contructed. ConclusionThe Macro-evaluation tool for DS animal model in TCM is highly scientific， credible， and operable， and can be utilized in DS animal experiments after its characteristics are actually evaluated.

Ion mobility spectroscopy(IMS)has many advantages such as fast detection speed,high sensitivity,and portability,and thus plays an important role in on-site detection of chemical agents,explosives,drugs,environmental pollutants,and other pollutants.As a key component of IMS,the ion number density and temporal width of the injected ion packets directly determine the IMS detection sensitivity and resolution.In yhis study,the dual-parallel-grid structure of Tyndall-Powell gate(TPG),which could effectively isolate the electric fields within the ionization region,gate region,and drift region,was utilized to develop a dual effect TPG gating method for simultaneously enhancing the mobility discrimination reduction and ion packet temporal width compression,thereby improving the IMS performance.A TPG-IMS platform was thus built up and the effects of parameters such as gate opening pulsed width,gate penetration voltage,and ion injection voltage on the sensitivity and resolving power of IMS were systematically investigated using the dual-effect TPG gating method.The results demonstrated that,when detecting diethyl phosphate(DEP)and diethyl methylphosphate(DEMP)mixture using the dual effect TPG gating method,the peak currents of(DEP)2H+and(DEP·DEMP)H+ions with low K0 values were increased by 18 and 45 times respectively,while maintaining a high resolution of about 90.The limits of detection for DEP and DEMP were decreased from 4 ppb(10-9)to 235 ppt(10-12)and from 5 ppb to 156 ppt,respectively.This gating method only regulated the potential of the TPG grid adjacent to the drift region,without changing the structure of the ion mobility tube,making it convenient to apply on existing commercial instruments.

Objective To investigate the risk factors and preventive strategies of pancreaticoduodenectomy postoperative hemorrhage.Methods A total of 208 patients who underwent pancreaticoduodenectomy in the Department of Hepatobiliary Surgery of the 904th Hospital of Joint Logistics Support Force,PLA from January 2017 to December 2021 were enrolled.Twenty-one patients with postoperative hemorrhage were retrospectively analyzed.Results Univariate analysis indicated that postoperative hemorrhage was mainly associated with pancreatic leakage,biliary leakage,abdominal infection,hypoproteinemia,diabetes,improper use of ultrasound knife,skeletonization,intraoperative blood loss,preoperative jaundice,etc.(P<0.05),but not gender and age(P>0.05).Among the 21 patients with postoperative hemorrhage,4 cases recovered after conservative treatment such as hemostasis and blood transfusion,6 cases underwent interventional treatment,11 cases underwent abdominal exploration,and 2 cases died of postoperative multiple organ failure.Pancreatic leakage(OR=3.963,95%CI:1.120-14.025),biliary leakage(OR=4.013,95%CI:1.173-13.734)and abdominal infection(OR=7.545,95%CI:1.833-31.051)were independent risk factors for postoperative hemorrhage.Conclusions The improvement of anastomotic manipulation,reduction of anastomotic leakage,and control and prevention of abdominal infection are important to prevent postoperative hemorrhage of pancreaticoduodenectomy.Surgical treatment should be performed as soon as possible for the patients with poor conservative treatment effect.

In order to investigate the effects of LAL on the lipolysis and lipid synthesis of dairy adi-pocytes,the protein expressions of lipid synthesis-related molecules,acetyl-CoA carboxylase-1(ACC1),phosphorylated transcription factor-α(CEBPα),diacylglyceryl acyltransferase 2(DGAT2),sterol regulatory element binding protein 1(SREBP1),and peroxisome proliferator-ac-tivated receptor-γ(PPARγ),and lipolysis-related molecules,lipid droplet coated protein-1(PLIN1),triglyceride lipase(ATGL),hormone-sensitive lipase(HSL),p-HSL,and the target pro-tein lysosomal acid lipase(LAL),were detected in adipose tissues of healthy dairy cows and ketosis cows.The lipid synthesis and lipolysis-related protein expressions in adipocytes were detected by Western blot technology.The primary bovine adipocytes were cultured in vitro with overexpressed LAL,and the lipolysis model of adipocytes was constructed by adding isoproterenol(ISO).The re-sults showed that the expression of LAL in adipose tissue of ketosis cows was significantly lower than that of healthy cows(P＜0.01).Compared with healthy cows,the protein expression levels of lipid synthesis-related proteins ACC1,CEBPα,DGAT2,SREBP1 and PPARγin adipose tissue of clinical ketosis cows were significantly decreased,while the protein expression and phosphorylation levels of lipolysis-related proteins,PLIN1,ATGL,and p-HSL were significantly increased.The a-bove results confirmed that the lipid synthesis of adipose tissue of ketosis cows was inhibited,and the lipolysis was enhanced.In vitro results showed that ISO could downregulate the protein ex-pression levels of lipid synthesis related molecules,and upregulate the protein expression and phosphorylation levels of lipid lysis related molecules in bovine adipocytes.The content of basal lipid synthesis and ISO-induced lipid synthesis proteins in bovine adipocytes of LAL overexpres-sion group was significantly increased,while the content of basal lipid lysis and ISO-induced lipid lysis proteins was significantly decreased.In conclusion,in vivo and in vitro studies have shown that LAL can inhibit the lipid lysis of bovine adipocytes and promote the lipid synthesis of bovine adipocytes.

This study utilized the CCK-8 assay to examine the effects of various concentrations of CoCl2(0,50,100,200,300,400 μmol/L)and different treatment durations(0,6,12,24,48 h)on the viability of adipocytes,in order to determine the most suitable treatment conditions.Western blot analysis was employed to investigate the impact of different concentrations of CoCl2(0,50,100,200,400 μmol/L)on the expression of hypoxia and its downstream key proteins in adipocytes.The results indicated that higher concentrations of CoCl2 led to lower adipocyte viability,with sig-nificant decreases in cell viability observed in the 300,400 μmol/L treatment groups(P＜0.01),while the 200 μmol/L group exhibited the highest cell viability.Compared to the control group,the 200 μmol/L CoCl2 treatment group showed a significant upregulation in the expression of hypoxia and its downstream signaling pathway key molecules:hypoxia-inducible factor 1-alpha(HIF-1α),glucose transporter type 4(GLUT4),vascular endothelial growth factor receptor 1(FLT-1),prolyl hydroxylase 2(PHD2),and vascular endothelial growth factor(VEGF)(P＜0.01).Addi-tionally,the 200 μmol/L CoCl2 treatment group exhibited higher levels of key lipolytic enzymes,including adipose triglyceride lipase(ATGL),perilipin 1(PLIN1),protein kinase A(PKA),and increased phosphorylation levels of hormone-sensitive lipase(HSL)in the 300 and 400 μmol/L groui ps(P＜0.01).CoCl2-mediated hypoxia in the 200 μmol/L treatment group also in-creased the protein expression of phosphatidylinositol 3-kinase(PI3K)and the phosphorylation level of protein kinase B(Akt).These findings suggest that adding 200 μmol/L CoCl2 can enhance the expression of hypoxia-related proteins,lipolytic enzymes,and insulin-related signaling proteins in primary bovine adipocytes.

This experiment was divided into two parts:in vivo and in vitro.In the in vivo experi-ment,10 healthy and 10 ketotic cows were selected,and adipose tissues were collected.ELISA re-sults showed that malonaldehyde(MDA)content and reactive oxygen species(ROS)activity were higher in adipose tissues of cows with clinical ketotic compared with healthy cows,and glutathione peroxidase(GPP)activity was higher than that of cows with clinical ketotic.Western blot results showed that compared with the healthy group,adipose tissue of the ketotic group showed a signifi-cant increase in the expression level of TP53 induces glycolysis and apoptosis factors(TIGAR)protein,a significant up-regulation in the expression level of Nrf2-HMOX1 signaling pathway pro-tein,and a significant increase in the expression level of oxidative stress protein in adipose tissue of the ketotic group.The expression level of TIGAR protein was significantly up-regulated,the pro-tein level of Nrf2-HMOX1 signaling pathway was significantly up-regulated,and the protein levels of oxidative stress-related indexes SOD1,catalase(CAT)and glutathione S-transferase(GST)were significantly increased.It indicated that oxidative stress occurred in the adipose tissue of ketotic cows in vivo.In vitro experiments were carried out to detect the effect of TIGAR on oxida-tive stress in bovine adipocytes by adenoviral silencing or overexpression of TIGAR in isolated and cultured bovine primary adipocytes as well as by the addition of hydrogen peroxide in vitro for 2 h.The Western blot results showed that the hydrogen peroxide group showed enhanced oxidative stress compared with the control group,and the nuclear correlation factor 2 was significantly in-creased.correlation factor 2(Nrf2)pathway,decreased expression of Nrf2 and hemeoxygenase-1(HMOX1),and decreased expression of related oxidative stress proteins in the hydrogen peroxide group;compared with the hydrogen peroxide group,the protein expression levels of Nrf2-HMOX1 and related oxidative stress proteins were up-regulated in the group with overexpression of TIGAR and hydrogen peroxide,and the expression levels of related oxidative stress proteins were up-regu-lated in the group with overexpression of TIGAR and hydrogen peroxide.Expression level was up-regulated,and the expression of related oxidative stress proteins SOD1,CAT and GST increased.This indicates that overexpression of TIGAR alleviated hydrogen peroxide-induced oxidative stress in adipocytes.Protein expression of Nrf2-HMOX1 signaling pathway and oxidative stress-related proteins SOD1,CAT and GST were down-regulated in the silencing TIGAR plus hydrogen perox-ide group compared to the hydrogen peroxide group.It indicates that silencing TIGAR exacerbated the oxidative stress caused by hydrogen peroxide to adipocytes.

To investigate the expression of serine metabolism related genes and inflammatory relat-ed genes in CD4+T cells of healthy and cows with ketosis.Firstly,CD4+T cells in peripheral blood of dairy cows were isolated by magnetic bead sorting.Second,expression of serine metabolism re-lated genes PHGDH,PAST1,PSPH,SHMT1,SHMT2,SDS,SFXN1 and inflammation related genes IL-6,IFN-γ,IL-17A,FOXP3,IL-10,TGF-β in CD4+T cells in healthy and ketosis cows was detected by fluorescence quantitative PCR.The transcription levels of PHGDH,PAST1 and PSPH in CD4+T cells of ketosis cows were significantly increased compared with healthy cows(P＜0.01),the transcription level and translation level of SDS were significantly increased(P＜0.01).The transcription levels of SHMT2 were significantly decreased(P＜0.05).Transcription and translation levels of SFXN1 were significantly decreased(P＜0.05).The transcription level of SHMT1 was decreased but not significantly.Compared with healthy cows,the transcription levels of IL-6,IFN-γ and IL-17A in CD4+T cells of ketosis cows were significantly increased(P＜0.01),the transcription levels of IL-10,TGF-β and FOXP3 were significantly decreased(P＜0.05).The results showed that the expression of genes related to serine synthesis increased,the expression of genes related to serine decomposition decreased,the expression of pro-inflammatory factors increased,and the expression of anti-inflammatory factors decreased,suggesting that serine metab-olism plays an important role in the inflammatory process of dairy cows.