The establishment of mouse models is critical for discovering the biological targets of tumorigenesis and cancer development, preclinical trials of targeted drugs, and formulation of personalized therapeutic regimens. Currently, the patient-derived xenograft (PDX) model is considered a reliable animal tumor model because of its ability to retain the characteristics of the primary tumor at the histopathological, molecular, and genetic levels, and to preserve the tumor microenvironment. The application of the PDX model has promoted in-depth research on tumors in recent years, focusing on drug development, tumor target discovery, and precise treatment of patients. However, there are still some common questions. This review introduces the latest research progress and common questions regarding tumors with high mortality rates, focusing on their application in targeted drug screening and the formulation of personalized medical strategies. The challenges faced, improvement methods, and future development of the PDX model in tumor treatment applications are also discussed. This article provides technical guidance and comprehensive expectations for anti-cancer drug screening and clinical personalized therapy.

The important studies in the field of extracorporeal life support (ECLS) in 2024 focused on the application of cardiac support technologies in acute myocardial infarction (AMI) with cardiogenic shock (CS): veno-arterial extracorporeal membrane oxygenation (V-A ECMO) has not shown advantages in either short- or long-term outcomes and may increase the risk of bleeding and vascular complications; in contrast, micro-axial flow pumps demonstrate potential in improving mortality. The effects of veno-venous extracorporeal membrane oxygenation (V-V ECMO) combined with prone positioning on severe acute respiratory distress syndrome (ARDS) remain uncertain. The survival benefit of extracorporeal cardiopulmonary resuscitation (ECPR) in out-of-hospital cardiac arrest (OHCA) patients has been further validated. The potential benefits of extracorporeal carbon dioxide removal (ECCO2R) require further investigation. Additionally, new guidelines released in 2024 focus on Neurological monitoring and management during ECMO, as well as the Definition and management of right ventricular injury during veno-venous ECMO. ECMO management requires more refined strategies, including optimized oxygenation targets, anticoagulation, blood transfusion, and weaning strategies to improve patient outcomes.
Humans ; Extracorporeal Membrane Oxygenation/methods* ; Shock, Cardiogenic/therapy* ; Cardiopulmonary Resuscitation ; Myocardial Infarction/therapy*

Objective To build the early predictive model for chronic kidney disease(CKD)in hypertension and diabetes patients in the community.Methods The CKD patients were recruited from 4 health care centers in 4 urban areas in Kunming.The control group was residents without hypertension and diabetes(n = 1267).The disease group was residents with hypertension and/or diabetes(n = 566).The questionnaire survey,physical examination,laboratory testing,and 5 SNPs gene types in the PVT1 gene.The risk factors,which were filtered with logistics regression,were used to build predictive models.Four machine learning algorithms were built:support vector machine(SVM),random forest(RF),Na?ve Bayes(NB),and artificial neural network(ANN)models.Results Thirteen indicators included in the final diagnostic model:age,disease type,ethnicity,blood urea nitrogen,creatinine,eGFR from MDRD,ACR,eGFR from EPI2009,PAM13 score,sleep quality survey,staying-up late,PVT1 SNP rs11993333 and rs2720659.The accuracy,specificity,Kappa value,AUC of ROC,and PRC of ANN are greater than those of the other 3 models.The sensitivity of RF is the highest among 4 types of machine learning.Conclusions The ANN predictive model has a good ability of efficiency and classification to predict CKD with hypertension and/or diabetes patients in the community.

The clinical research in the field of extracorporeal life support (ECLS) in 2023 has focused on the efficacy of veno-arterial extracorporeal membrane oxygenation (ECMO) in patients with infarct-related cardiogenic shock. Additionally, the research also explored the efficacy of prone positioning during veno-venous ECMO, transfusion strategies, and the impact of obesity on outcomes. Awake veno-venous ECMO has shown novel therapeutic potential, but its optimal practice methods and management strategies remain to be determined. In in-hospital cardiac arrest patients, extracorporeal cardiopulmonary resuscitation has demonstrated higher survival rates and better neurological recovery compared to conventional cardiopulmonary resuscitation. The effectiveness of extracorporeal carbon dioxide removal varies among patients with different types of respiratory failure. Future research should focus on optimizing the application strategies and process management of ECLS technologies, investigating personalized therapy, and studying how to improve long-term rehabilitation and quality of life for survivors.

ObjectiveTo study the inhibitory effect of polyphyllin Ⅰ （PPI） on the growth of colorectal cancer cells and its molecular mechanism. MethodRKO cells were cultured and divided into a blank group and PPI treatment groups with concentrations of 0.6， 0.8， 1.0 μmol·L^-1， respectively. HRT18 cells were cultured and divided into a blank group and PPI treatment groups with concentrations of 1.2， 1.4， 1.6 μmol·L^-1， respectively. The effects of PPI on the proliferation and morphology of colorectal cancer were detected by cell proliferation toxicity assay， trypan blue exclusion assay， plate clone formation assay， and confocal high-intension cell imaging analysis system. Flow cytometry was used to detect the apoptosis rate of colorectal cancer cells. The pQCXIP-GFP-LC3 plasmid transfection assay was used to detect the formation of autophagosomes in colorectal cancer cells after PPI treatment. Western blot was used to detect the expression of apoptosis-related proteins Caspase-3， Caspase-8， and poly ADP ribose polymerase （PARP）， the expression of autophagy related protein LC3Ⅱ， and the expression and phosphorylation of Hippo signaling pathway proteins LATS1 and YAP. In the plvx-Flag-YAP plasmid transfection assay， YAP was overexpressed and treated with PPI， and the proliferation of colorectal cancer cells was detected by cytotoxicity assay. The expression of LC3Ⅱ and PARP in colorectal cancer cells was detected by Western blot. SwissADME predicted pharmacokinetic parameters of PPI. ResultAs compared with the blank group， the survival rate and clone formation ability of colorectal cancer cells in the PPI group were significantly decreased （P<0.01）， the cell area of colorectal cancer cells in the PPI group was significantly decreased， and the roundness of colorectal cancer cells was significantly increased （P<0.01）. As compared with the blank group， the apoptosis rate of colorectal cancer cells in PPI treatment groupw was significantly increased （P<0.01）， the expression of apoptotic proteins Caspase-3 and Caspase-8 protein precursor in PPI treatment groups was decreased， and the cleavage of PARP was increased （P<0.01）. As compared with the blank group， the expression level of autophagy-related protein LC3Ⅱ in colorectal cancer cells in PPI treatment groups was significantly increased， and the formation of autophagosomes was promoted （P<0.01）. As compared with the blank group， the expression of YAP protein in colorectal cancer cells in PPI treatment groups was significantly decreased， and the expressions of phosphorylated LATS1 and YAP were significantly increased （P<0.01）. As compared with the blank group， overexpression of YAP could significantly antagonize the effect of PPI on apoptosis， autophagy activation， and proliferation inhibition of colorectal cancer cells. SwissADME simulation results showed that PPI had good drug like activity. ConclusionPPI can induce apoptosis and autophagy of colorectal cancer cells through targeted activation of Hippo signaling pathway， thereby inhibiting their proliferation.

Objective:To investigate the diagnostic accuracy of serological indicators and evaluate the diagnostic value of a new established combined serological model on identifying the minimal hepatic encephalopathy (MHE) in patients with compensated cirrhosis.Methods:This prospective multicenter study enrolled 263 compensated cirrhotic patients from 23 hospitals in 15 provinces, autonomous regions and municipalities of China between October 2021 and August 2022. Clinical data and laboratory test results were collected, and the model for end-stage liver disease (MELD) score was calculated. Ammonia level was corrected to the upper limit of normal (AMM-ULN) by the baseline blood ammonia measurements/upper limit of the normal reference value. MHE was diagnosed by combined abnormal number connection test-A and abnormal digit symbol test as suggested by Guidelines on the management of hepatic encephalopathy in cirrhosis. The patients were randomly divided (7∶3) into training set ( n=185) and validation set ( n=78) based on caret package of R language. Logistic regression was used to establish a combined model of MHE diagnosis. The diagnostic performance was evaluated by the area under the curve (AUC) of receiver operating characteristic curve, Hosmer-Lemeshow test and calibration curve. The internal verification was carried out by the Bootstrap method ( n=200). AUC comparisons were achieved using the Delong test. Results:In the training set, prevalence of MHE was 37.8% (70/185). There were statistically significant differences in AMM-ULN, albumin, platelet, alkaline phosphatase, international normalized ratio, MELD score and education between non-MHE group and MHE group (all P<0.05). Multivariate Logistic regression analysis showed that AMM-ULN [odds ratio ( OR)=1.78, 95% confidence interval ( CI) 1.05-3.14, P=0.038] and MELD score ( OR=1.11, 95% CI 1.04-1.20, P=0.002) were independent risk factors for MHE, and the AUC for predicting MHE were 0.663, 0.625, respectively. Compared with the use of blood AMM-ULN and MELD score alone, the AUC of the combined model of AMM-ULN, MELD score and education exhibited better predictive performance in determining the presence of MHE was 0.755, the specificity and sensitivity was 85.2% and 55.7%, respectively. Hosmer-Lemeshow test and calibration curve showed that the model had good calibration ( P=0.733). The AUC for internal validation of the combined model for diagnosing MHE was 0.752. In the validation set, the AUC of the combined model for diagnosing MHE was 0.794, and Hosmer-Lemeshow test showed good calibration ( P=0.841). Conclusion:Use of the combined model including AMM-ULN, MELD score and education could improve the predictive efficiency of MHE among patients with compensated cirrhosis.

Objective:To compare the differences in the prevalence of mild micro-hepatic encephalopathy (MHE) among patients with cirrhosis by using the psychometric hepatic encephalopathy score (PHES) and the Stroop smartphone application (Encephal App) test.Methods:This prospective, multi-center, real-world study was initiated by the National Clinical Medical Research Center for Infectious Diseases and the Portal Hypertension Alliance and registered with International ClinicalTrials.gov (NCT05140837). 354 cases of cirrhosis were enrolled in 19 hospitals across the country. PHES (including digital connection tests A and B, digital symbol tests, trajectory drawing tests, and serial management tests) and the Stroop test were conducted in all of them. PHES was differentiated using standard diagnostic criteria established by the two studies in China and South Korea. The Stroop test was evaluated based on the criteria of the research and development team. The impact of different diagnostic standards or methods on the incidence of MHE in patients with cirrhosis was analyzed. Data between groups were differentiated using the t-test, Mann-Whitney U test, and χ2 test. A kappa test was used to compare the consistency between groups. Results:After PHES, the prevalence of MHE among 354 cases of cirrhosis was 78.53% and 15.25%, respectively, based on Chinese research standards and Korean research normal value standards. However, the prevalence of MHE was 56.78% based on the Stroop test, and the differences in pairwise comparisons among the three groups were statistically significant (kappa = -0.064, P < 0.001). Stratified analysis revealed that the MHE prevalence in three groups of patients with Child-Pugh classes A, B, and C was 74.14%, 83.33%, and 88.24%, respectively, according to the normal value standards of Chinese researchers, while the MHE prevalence rates in three groups of patients with Child-Pugh classes A, B, and C were 8.29%, 23.53%, and 38.24%, respectively, according to the normal value standards of Korean researchers. Furthermore, the prevalence rates of MHE in the three groups of patients with Child-Pugh grades A, B, and C were 52.68%, 58.82%, and 73.53%, respectively, according to the Stroop test standard. However, among the results of each diagnostic standard, the prevalence of MHE showed an increasing trend with an increasing Child-Pugh grade. Further comparison demonstrated that the scores obtained by the number connection test A and the number symbol test were consistent according to the normal value standards of the two studies in China and South Korea ( Z = -0.982, -1.702; P = 0.326, 0.089), while the other three sub-tests had significant differences ( P < 0.001). Conclusion:The prevalence rate of MHE in the cirrhotic population is high, but the prevalence of MHE obtained by using different diagnostic criteria or methods varies greatly. Therefore, in line with the current changes in demographics and disease spectrum, it is necessary to enroll a larger sample size of a healthy population as a control. Moreover, the establishment of more reliable diagnostic scoring criteria will serve as a basis for obtaining accurate MHE incidence and formulating diagnosis and treatment strategies in cirrhotic populations.

Objective:To explore the effect of key amino acid mutations of 3D protein in enterovirus 71 on viral proliferation, and infer the mechanism of mutation affecting viral proliferation according to the tertiary structure model of 3D protein.Methods:The proliferation characteristics of the mutant strain that was constructed by site-directed mutagenesis and reverse genetics using the pMD19T-SDLY107-EGFP constructed from the fatal strain SDLY107 as a template were measured. Meanwhile the tertiary structure of the 3D protein was predicted, and then the possible mechanism of the mutation affecting the proliferation ability of the virus was speculated according to the functional characteristics of the domain of the 3D protein.Results:Two mutant viruses, eGFP-EV-A71 (S37N) and eGFP-EV-A71 (R142K), were successfully constructed by double enzyme digestion and viral gene sequencing. The proliferation rate of the two mutant strains in RD cells was significantly lower than that of the parent strains. The 3D protein tertiary structure prediction model showed that the 3D protein consisted of three domains: "Finger" , "thumb" and "Palm" , constituting a cupped right-handed structure. S37N and R142K are located in the "thumb" domain and " finger" domain, respectively. The "thumb" and "finger" domains have important effects on the activity of 3D polymerase and the stability of protein.Conclusions:Mutations at S37N and R142K sites of EV71 3D protein decrease the replication ability of EV71, and these two mutations may affect the proliferation of EV71 virus by changing the 3D protein polymerase activity and the interactions between multiple domains.

Objective:To analyze the risk factors and human papillomavirus (HPV) genotypes distribution in patients with condyloma acuminatum (CA) in two regions of Shandong province.Methods:From August 2019 to December 2020, an anonymous questionnaire survey of CA patients was conducted in three hospitals in Jinan City and Jining City, Shandong Province, and samples were collected for HPV typing. Multivariate binary logistic regression was used to analyze the risk factors of CA recurrence. HPV typing was detected by PCR-reverse dot blot hybridization.Results:A total of 653 questionnaires were collected, and the valid questionnaires accounted for 98.77% (645/653). Recurrence of the disease occurred in 174 patients, with a recurrence rate of 26.98%. Univariate analysis showed that there were statistically significant differences in the distribution of CA recurrence among residence time at current address, sexual frequency, genitalia cleaning, and knowledge of preventing HPV infection ( P<0.05). Multivariate binary logistic regression showed that knowing how to prevent HPV infection was a significant factor that influences CA recurrence. A total of 428 patients underwent HPV typing, and the positive detection rate of HPV was 98.60% (422/428). The top three positive rates were HPV6 (57.58%), HPV11 (36.49%) and HPV16 (11.37%). The main type of infection was low-risk HPV, accounting for 51.42% (217/422). Conclusions:CA patients have the phenomenon of "separation of knowledge and action" , so it is necessary to strengthen health education and behavioral intervention, guide the population to correctly treat sexual behavior, and improve self-prevention awareness and risk awareness.

Objective:We try to screen out predictive indicators with higher value by analyzing the differences in clinical and laboratory indicators between severe fever with thrombocytopenia syndrome (SFTS) patients in the intensive care unit (ICU) group and non-ICU group.Methods:The clinical and laboratory index data of 69 SFTS patients diagnosed in the laboratory in a hospital from June to December 2019 were retrospectively collected. According to the clinical outcome of the patients, they were divided into ICU and non-ICU groups. The differences in clinical manifestations and laboratory indicators between the two groups were analyzed. The receiver operating characteristic curve (ROC) was used to screen the more valuable predictive indicators.Results:Compared with the non-ICU group, ICU group SFTS patients had significantly higher procalcitonin (PCT), C-reactive protein (CRP), alanine aminotransferase (ALT), aspartate aminotransferase (AST), alkaline phosphatase (ALP), glutamyl transpeptidase (GGT), leucine aminopeptidase (LAP), glutamate dehydrogenase (GDH), adenosine deaminase (ADA), cystatin C (Cys C), α-hydroxybutyrate dehydrogenase (α-HBDH), creatine kinase (CK), lactate dehydrogenase (LDH) levels ( W=530.0, P=0.003; W=496.5, P=0.015; W=496.0, P=0.015; W=535.5, P=0.002; W=545.5, P=0.001; W=498.5, P=0.013; W=537.0, P=0.002; W=523.0, P=0.004; W=512.0, P=0.007; W=502.0, P=0.012; W=486.0, P=0.023; W=509.0, P=0.008; W=541.0, P=0.002) and significantly lower platelet count (PLT), indirect bilirubin (IBIL), albumin/globulin ratio(A/G) and superoxide dismutase (SOD) levels ( W=199.0, P=0.024; W=175.5.5, P=0.009; t=-2.9, P=0.004; W=209.5, P=0.036; t=-3.0, P=0.004). ROC result showed that ALP [area under the curve (AUC)=0.804, 95% confidence interval ( CI) (0.679~0.929)] and LDH [AUC=0.805, 95% CI (0.680~ 0.930)] have a higher value for predicting the risk of severe illness. Conclusions:Abnormal liver function, heart function, and renal function indicators in SFTS patients indicate that patients are at risk of exacerbation. Among them, ALP and LDH levels have higher predictive value for risk of severe disease, suggesting that the monitoring of patients with the above symptoms should be strengthened in the clinical nursing process.