Aim To observe the effect of Astragalus membranaceus and Angelica sinensis on the apoptosis of chondrocytes,and to investigate the effect of Astrag-alus membranaceus and Angelica sinensis on the sur-vival of fresh ostecartilage allograft.Methods Forty-eight 4-month-old New Zealand white rabbits,half male and half female,were randomly divided into sham operation group,model group,positive group and As-tragalus and Angelica 5∶1 group.In addition to the sham operation group,the other groups were both male and female donors and recipients for knee joint osteo-cartilage cross transplantation modeling.After 8 weeks of drug intervention,samples were taken for general observation,HE staining,saffrane-O staining,immu-nohistochemical staining,qPCR and Western blot de-tection.Results Compared with model group,As-tragalus and Angelica 5∶1 group and positive group,the repair site healed better,the morphology of osteo-chondrocytes tended to be normal,and the division and proliferation were obvious.Proteoglycan deposition in-creased and type Ⅱ collagen content was higher,the differences were statistically significant(P＜0.05).qPCR and Western blot results showed that compared with model group,the mRNA and protein expressions of Bax,caspase-3 and caspase-9 in other groups were significantly decreased(P＜0.05).Conclusion As-tragalus and Angelica can promote the survival of fresh osteochondral allograft,and its mechanism may be re-lated to promoting collagen production,promoting chondrocyte proliferation and inhibiting chondrocyte apoptosis.

Objective Personalized calculation of contrast agent dose based on body surface area(BSA)was conducted to explore the feasibility of obtaining virtual single energy or reconstruction fusion through dual-energy CT without affecting the enhancement effect of portal vein trunk under the condition of reducing the contrast agent dose.Methods A total of 60 patients who received enhanced upper abdominal CT examination in the First Affiliated Hospital of Army Medical University were selected and divided into the normal dose group and the reduced dose group.The normal dose group used the BSA estimated value as the contrast agent dose,and the reduced dose group used the BSA estimated value reduced by 20%as the contrast agent dose.Both groups of patients were treated with dual-energy CT scanning in portal vein stage,and the scanning parameters were the same.After scanning,Syngo dual-energy post-processing software of Siemens multi-mode image workstation was used to reconstruct and fuse the 5 mm layer thickness image of the portal vein stage in the reduced dose group by two methods:"optimum contrast(OC)"and"monoenergetic(Mono)".The CT value and SD value of the portal vein trunk and the normal liver parenchyma of images in each group were measured.The contrast to noise ratio(CNR)of theportal vein and the liver parenchyma and portal vein signal to ratio(SNR)were calculated.Results Compared with the normal dose group,there was no statistically significant difference in the subjective score in the reduced dose OC group(P>0.05),but the CNR and SNR of the portal vein trunk in the images were significantly improved(P<0.05).The portal vein CT value and the difference between portal vein and liver parenchyma in the reduced dose Mono group were significantly lower than those in the normal dose group,and the subjective score was the lowest,with statistical differences(P<0.05).Conclusion In the case of reducing the contrast agent dose by 20%,the dual-energy CT reconstruction fusion method can not only reduce the damage of contrast agent to patients,but also significantly improve the lesion display,and improve the consistency of liver enhancement image quality.

Objective:To investigate the relationship between mutated genes and clinical features in patients with essential thrombocythemia(ET).Methods:The clinical data of 69 patients with ET from October 2018 to March 2022 were retrospectively analyzed.According to driver mutation type,patients were divided into JAK2 group,CALR group and triple-negative group.The sex,age,cardiovascular risk factors,thrombosis,splenomegaly,routine blood test and coagulation status of patients in three groups were analyzed.Results:Among 69 ET patients,46 cases were associated with JAK2 mutation,14 cases with CALR mutation,8 cases with triple-negative mutation,and one with MPL gene mutation.There were no significant differences in age and sex among the three groups(P＞0.05).The highest thrombotic rate was 26.09％(12/46)in JAK2 group,then 12.5％(1/8)in triple-negative group,while no thrombotic events occurred in CALR group.The incidence of splenomegaly was the highest in JAK2 group(34.78％),while no splenomegaly occurred in triple-negative group.The white blood cell(WBC)count in JAK2 group was(9.00±4.86)× 109/L,which was significantly higher than(6.03±2.32)× 109/L in CALR group(P＜0.05).The hemoglobin(Hb)and hematocrit(HCT)in JAK2 group were(148.42±18.79)g/L and(0.44±0.06)％,respectively,which were both significantly higher than(131.00±15.17)g/L and(0.39±0.05)％in triple-negative group(P＜0.05).The platelet(PLT)in JAK2 group was(584.17±175.77)× 109/L,which was significantly lower than(703.07±225.60)× 109/L in CALR group(P＜0.05).The fibrinogen(Fg)in JAK2 and triple-negative group were(2.64±0.69)g/L and(3.05±0.77)g/L,respectively,which were both significantly higher than(2.24±0.47)g/L in CALR group(P＜0.05,P＜0.01).The activated partial thromboplastin time(APTT)in triple-negative group was(28.61±1.99)s,which was significantly decreased compared with(31.45±3.35)s in CALR group(P＜0.05).Conclusions:There are differences in blood cell count and coagulation status among ET patients with different driver gene mutations.Among ET patients,JAK2 mutation is most common.Compared with CALR group,the thrombotic rate,WBC and Fg significantly increase in JAK2 group,while PLT decrease.Compared with triple-negative group,the incidence of splenomegaly and HCT significantly increase.Compared with CALR group,Fg significantly increases but APTT decreases in triple-negative group.

Objective:To analyze the genes related to platelet activation in essential thrombocythemia (ET)based on transcriptome sequencing technology (RNA-seq ),and to explore the potential targets related to ET thrombosis. Methods:Blood samples from ET patients and healthy individuals were collected for RNA-seq,and differentially expressed lncRNAs,miRNAs,and mRNAs were selected to construct a lncRNA-miRNA-mRNA regulatory network. Differential mRNAs in the regulatory network were enriched and analyzed using Gene Ontology (GO ) and Kyoto Encyclopedia of Genes and Genomes (KEGG).The real-time PCR method was applied to validate differential mRNAs on crucial signaling pathways.Results:A total of 32 lncRNAs (3 up-regulated,29 down-regulated),16 miRNAs (8 up-regulated,8 down-regulated),and 35 mRNAs (27 up-regulated,8 down-regulated)were identified as differentially expressed.Among them,5 lncRNAs,12 miRNAs,and 19 mRNAs constituted the regulatory network.KEGG enrichment analysis showed that the differential mRNAs were related to the platelet activation signaling pathway,and there were 6 differential mRNAs related to platelet activation,namely F2R,ITGA2B,ITGB1,ITGB3,PTGS1,and GP1 BB,which were all up-regulated in their expression.RT-PCR results showed that the expression of five mRNAs including F2R,ITGA2B,ITGB1,ITGB3,and GP1BB were upregulated in ET patients compared with healthy subjects,and consistent with RNA-seq results,while PTGS1 expression was not significantly different.Conclusion:Differential mRNAs in ET patients are related to the platelet activation pathway,and F2R,ITGA2B,ITGB1,ITGB3,and GP1BB mRNAs may serve as novel targets associated with platelet activation in ET.

Objective:To construct and validate the best predictive model for 28-day death risk in patients with septic shock based on different supervised machine learning algorithms.Methods:The patients with septic shock meeting the Sepsis-3 criteria were selected from Medical Information Mart for Intensive Care-Ⅳ v2.0 (MIMIC-Ⅳ v2.0). According to the principle of random allocation, 70% of these patients were used as the training set, and 30% as the validation set. Relevant predictive variables were extracted from three aspects: demographic characteristics and basic vital signs, serum indicators within 24 hours of intensive care unit (ICU) admission and complications possibly affecting indicators, functional scoring and advanced life support. The predictive efficacy of models constructed using five mainstream machine learning algorithms including decision tree classification and regression tree (CART), random forest (RF), support vector machine (SVM), linear regression (LR), and super learner [SL; combined CART, RF and extreme gradient boosting (XGBoost)] for 28-day death in patients with septic shock was compared, and the best algorithm model was selected. The optimal predictive variables were determined by intersecting the results from LASSO regression, RF, and XGBoost algorithms, and a predictive model was constructed. The predictive efficacy of the model was validated by drawing receiver operator characteristic curve (ROC curve), the accuracy of the model was assessed using calibration curves, and the practicality of the model was verified through decision curve analysis (DCA).Results:A total of 3?295 patients with septic shock were included, with 2?164 surviving and 1?131 dying within 28 days, resulting in a mortality of 34.32%. Of these, 2?307 were in the training set (with 792 deaths within 28 days, a mortality of 34.33%), and 988 in the validation set (with 339 deaths within 28 days, a mortality of 34.31%). Five machine learning models were established based on the training set data. After including variables at three aspects, the area under the ROC curve (AUC) of RF, SVM, and LR machine learning algorithm models for predicting 28-day death in septic shock patients in the validation set was 0.823 [95% confidence interval (95% CI) was 0.795-0.849], 0.823 (95% CI was 0.796-0.849), and 0.810 (95% CI was 0.782-0.838), respectively, which were higher than that of the CART algorithm model (AUC = 0.750, 95% CI was 0.717-0.782) and SL algorithm model (AUC = 0.756, 95% CI was 0.724-0.789). Thus above three algorithm models were determined to be the best algorithm models. After integrating variables from three aspects, 16 optimal predictive variables were identified through intersection by LASSO regression, RF, and XGBoost algorithms, including the highest pH value, the highest albumin (Alb), the highest body temperature, the lowest lactic acid (Lac), the highest Lac, the highest serum creatinine (SCr), the highest Ca 2+, the lowest hemoglobin (Hb), the lowest white blood cell count (WBC), age, simplified acute physiology score Ⅲ (SAPSⅢ), the highest WBC, acute physiology score Ⅲ (APSⅢ), the lowest Na +, body mass index (BMI), and the shortest activated partial thromboplastin time (APTT) within 24 hours of ICU admission. ROC curve analysis showed that the Logistic regression model constructed with above 16 optimal predictive variables was the best predictive model, with an AUC of 0.806 (95% CI was 0.778-0.835) in the validation set. The calibration curve and DCA curve showed that this model had high accuracy and the highest net benefit could reach 0.3, which was significantly outperforming traditional models based on single functional score [APSⅢ score, SAPSⅢ score, and sequential organ failure assessment (SOFA) score] with AUC (95% CI) of 0.746 (0.715-0.778), 0.765 (0.734-0.796), and 0.625 (0.589-0.661), respectively. Conclusions:The Logistic regression model, constructed using 16 optimal predictive variables including pH value, Alb, body temperature, Lac, SCr, Ca 2+, Hb, WBC, SAPSⅢ score, APSⅢ score, Na +, BMI, and APTT, is identified as the best predictive model for the 28-day death risk in patients with septic shock. Its performance is stable, with high discriminative ability and accuracy.

Objective:To explore the potential causal relationship between gut microbiota and teratozoospermia.Methods:We searched the database of Genome-Wide Association Study(GWAS)for gut microbiota-and teratozoospermia-related data.We used gut microbiota as an exposure factor,determined the instrumental variables according to the GWAS data on 18 340 participants released by the MiBioGen Alliance,and derived the outcome variables from the European data on teratozoospermia,with a sample size of 85 716,including 915 cases and 209 006 controls.Using inverse-variance weighting(IVW),MR-Egger regression and the weighted median estimator(WME),we performed two-sample Mendelian randomization(MR)analysis on the retrieved data,and estimated the causal relationship between gut microbiota and teratozoospermia based on the β value.Results:Two-sample MR analysis indicated that the class Erysipelotrichia,family Erysipelotrichaceae,family Streptococcaceae,genus Coprococcusl,genus Ruminococcaceae UCG009,genus Streptococcus,order Clostridialesm and order Erysipelotrichales were causally related with the increased risk,while the family Porphyromonadaceae with the decreased risk of teratozoospermia.Conclusion:The class Erysipelotrichia,family Erysipe-lotrichaceae,family Streptococcaceae,genus Coprococcusl,genus Ruminococcaceae UCG009,genus Streptococcus,order Clostridia-lesm and order Erysipelotrichales are one of the causes of teratozoospermia,related to the increased risk of the condition,while the family Porphyromonadaceae has a protective effect on sperm morphology,reducing the risk of teratozoospermia.

AIM:The effects and mechanisms of paeoniflorin(PF)on sepsis-associated acute kidney injury(SA-AKI)in mice were investigated based on cellular pyroptosis and the JNK/NEK7/NLRP3 pathway.METHODS:A murine SA-AKI model was established by intraperitoneal injection of lipopolysaccharide(LPS).Twenty-four male C57BL/6J mice aged 6～8 weeks were divided into four groups(n=6)using a randomized numerical table method:control(Con)group(an equal amount of DMSO-containing PBS was injected intraperitoneally at the same time);LPS group(LPS was injected intraperitoneally at 15 mg/kg);LPS+PF group(PF was injected intraperitoneally at 50 mg/kg for 30 min prior to modeling);and LPS+PF+anisomycin group(intraperitoneal injection of PF 50 mg/kg and JNK agonist anisomycin 20 mg/kg 30 min before modeling).Samples were taken 24 h after modeling.HE staining was used to observe the pathological changes in renal tissues,and Paller scoring of renal injury was performed.ELISA was used to detect the levels of renal in-jury markers:blood creatinine(Scr),kidney injury molecule 1(KIM-1),and the inflammatory factors interleukin 1β(IL-1β)and IL-18.Western blot was used to detect changes in phosphorylated c-Jun N-terminal kinase(p-JNK),NIMA-relat-ed expressed kinase 7(NEK7),nucleotide oligomerization domain(NOD)-like receptor protein 3(NLRP3),and N-ter-minal fragment of gasdermin D(GSDMD-N)protein levels.RESULTS:Compared with the Con group,HE staining in the LPS group showed congestion and edema in renal tissues,granular or cell-like tubular patterns in the dilated tubular lu-men of renal tubules,and congestion and edema in the renal interstitium.Paller scores,Scr,serum KIM-1,IL-1β,and IL-18 levels in renal tissues were elevated(P<0.05).The expression of p-JNK,NEK7,NLRP3,and GSDMD-N also in-creased(P<0.05).Compared with the LPS group,the LPS+PF group exhibited reduced renal histopathological injury,decreased Paller score,Scr,serum KIM-1,IL-1β,and IL-18 levels(P<0.05),and decreased protein expression of p-JNK,NEK7,NLRP3,and GSDMD-N(P<0.05).Compared with the LPS+PF group,the LPS+PF+anisomycin group showed increased renal histopathological injury,Paller score,Scr,serum KIM-1,IL-1β,and IL-18 levels(P<0.05),and increased expression of p-JNK,NEK7,NLRP3,and GSDMD-N(P<0.05).CONCLUSION:Paeoniflorin may at-tenuate SA-AKI by inhibiting the JNK/NEK7/NLRP3 signaling pathway and downregulating cellular pyroptosis.

Patient 1,a 12-day-old female infant,presented with fever,cough,dyspnea,and elevated infection markers,requiring respiratory support.Metagenomic next-generation sequencing(mNGS)of blood and bronchoalveolar lavage fluid revealed Legionella pneumophila(LP),leading to diagnoses of LP pneumonia and LP sepsis.The patient was treated with erythromycin for 15 days and azithromycin for 5 days,resulting in recovery and discharge.Patient 2,an 11-day-old female infant,presented with dyspnea,fever,elevated infection markers,and multiple organ dysfunction,requiring mechanical ventilation.mNGS of blood and cerebrospinal fluid indicated LP,leading to diagnoses of LP pneumonia,LP sepsis,and LP intracranial infection.The patient was treated with erythromycin for 19 days and was discharged after recovery.Neonatal LP pneumonia lacks specific clinical symptoms,and azithromycin is the preferred antimicrobial agent.The use of mNGS can provide early and definitive diagnosis for severe neonatal pneumonia of unknown origin.

In recent years,the prevalence of carbapenem-resistant Klebsiella pneumoniae(CRKP)infection has become a global public health issue.Ceftazidime/avibactam(CAZ/AVI)has been approved as a novel antimicrobial agent for the treatment of healthcare-associated pneumonia/ventilator-associated pneumonia,bloodstream infection,infection after kidney transplantation,and severe infection combined with liver cirrhosis.However,the use of CAZ/AVI has also led to the emergence of drug-resistant strains.The major mechanisms of drug-resistance include over-expression of blaKPC gene,mutation of β-lactamase and amino acids at key sites,changes in cell permeability caused by loss of membrane porin,and over-expression of efflux pump.This article reviews the research progress of CAZ/AVI in the treatment of CRKP infection,providing reference for clinical diagnosis and treatment.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.