OBJECTIVE To explore the pharmacokinetic characteristics of 3 blood-absorbed components of Xiangshao sanjie oral liquid in rats with hyperplasia of mammary gland （HMG）. METHODS Female SD rats were divided into control group and HMG group according to body weight， with 6 rats in each group. The HMG group was given estrogen+progesterone to construct HMG model. After modeling， two groups were given 1.485 g/kg of Xiangshao sanjie oral liquid （calculated by crude drug） intragastrically， once a day， for 7 consecutive days. Blood samples were collected before the first administration （0 h）， and at 5， 15， 30 minutes and 1， 2， 4， 8， 12， 24 hours after the last administration， respectively. Using chlorzoxazone as the internal standard， the plasma concentrations of ferulic acid， paeoniflorin and rosmarinic acid in rats were detected by UPLC-Q/TOF-MS. The pharmacokinetic parameters [area under the drug time curve （AUC0－24 h， AUC0－∞）， mean residence time （MRT0－∞）， half-life （t1/2）， peak time （tmax）， peak concentration （cmax）] were calculated by the non-atrioventricular model using Phoenix WinNonlin 8.1 software. RESULTS Compared with the control group， the AUC0－24 h， AUC0－∞ and cmax of ferulic acid in the HMG group were significantly increased （P＜0.05）； the AUC0－24 h， AUC0－∞ ， MRT0－∞ ， t1/2 and cmax of paeoniflorin increased， but there was no significant difference between 2 groups （P＞0.05）； the AUC0－24 h and MRT0-∞ of rosmarinic acid were significantly increased or prolonged （P＜0.05）. C ONCLUSIONS In HMG model rats， the exposure of ferulic acid， paeoniflorin and rosmarinic acid in Xiangshao sanjie oral liquid all increase， and the retention time of rosmarinic acid is significantly prolonged.

Objective To investigate the factors influencing prognosis in patients with acute myocardial infarction complicated with cardiogenic shock undergoing primary percutaneous coronary intervention(PPCI).Methods Patients with acute myocardial infarction complicated with cardiogenic shock who underwent PPCI at our hospital between January 2015 and December 2019 were enrolled.Clinical baseline characteristics,coronary angiography and PCI-related parameters,and mechanical support information were collected.The patients were followed up for one year and divided into survival and death groups based on their survival status within one year.Differences in various factors between the two groups were compared.Results A total of 40 patients were enrolled,including 26 in the survival group and 14 in the death group.There were no differences in baseline data,diagnosis,risk factors,and comorbidities between the two groups.The survival group had a lower heart rate and higher blood pressure trend at admission compared to the death group.Myocardial enzymes were significantly lower in the survival group compared to the death group(median CK peak:496.00(198.25,2 830.00)U/L vs.3 040.00(405.75,5 626.53)U/L,P=0.003;median CK-MB peak:52.65(31.75,219.50)U/L vs.306.00(27.25,489.63)U/L,P=0.006).When comparing coronary angiography and PCI-related indicators between the two groups,the survival group had a higher rate of complete revascularization compared to the control group(53.85％vs.21.43％,P=0.048).The survival group had a higher proportion of extracorporeal membrane oxygenation(ECMO)combined with intra-aortic balloon pump(IABP)support compared to the control group[38.46％vs.7.14％,P=0.034].Conclusions Survival in patients with acute myocardial infarction complicated with cardiogenic shock undergoing PPCI is associated with lower level of myocardial enzymes,ECMO combined with IABP support and complete revascularization.

Objective:To investigate the clinical characteristics and influence of co-mutated gene on acute myeloid leukemia patients(AML)with FMS-like tyrosine kinase-3(FLT3)mutations.Methods:A total of 273 FLT3+AML patients were enrolled,and the co-mutation gene data of the patients were collected to further analyze the prognosis of the patients.FLT3 and other common mutations were quantified by PCR amplification products direct sequencing and second-generation sequencing(NGS).Results:When patients were divided into FLT3 ITD+,FLT3 TKD+,FLT3 ITD++TKD+and FLT3 ITD-+TKD-group according to the type of FLT3 mutations,it was found that the frequencies of TET2,GATA2,NRAS and ASXL1 mutation were significantly different among the 4 groups(all P＜0.05).When patients were divided into allelic ratio(AR)≥0.5 and＜0.5 group,it was found that the frequencies of FLT3 ITD+,FLT3 ITD-+TKD-,NPM1,NRAS and C-kit were significantly different between the two groups(all P＜0.05).When patients were divided into normal and abnormal karyotype group,it was found that the frequencies of FLT3 ITD+,FLT3 TKD+,NPM1,GATA2 and C-kit were significantly different between the two groups(all P＜0.05).The median overall survival(OS)of AML patients with FLT3 TKD+(including FLT3 ITD++TKD+)was longer than that of patients with FLT3 ITD+alone(P＜0.05).The OS and relapse-free survival(RFS)of AML patients with FLT3++TET2+were both shorter than those of patients with FLT3++TET2-(both P＜0.05).Conclusion:The mutation frequencies of co-mutated genes are correlated with subtypes of FLT3,karyotype and AR.AML patients with FLT3 TKD+have longer OS than patients with FLT3 ITD+alone,and patients with co-mutation of TET2 have shorter median OS and RFS.

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.

AIM To establish a UPLC-MS/MS method for the simultaneous content determination of pseudoginsenoside F11 and ginsenosides Rf,Rg1,Re,Rb1,Rb2,Rb3,Rg2,Rg3,Rc,Rd.METHODS The analysis was performed on a 40℃ thermostatic Phenomenex Kinetex F5 column(2.1 mm×100 mm,1.7 μm),with the mobile phase comprising of acetonitrile-2 mmol/L ammonium formate flowing at 0.3 mL/min in a gradient elution manner,and electron spray ionization source was adopted in negative ion scanning with multiple reaction monitoring mode.RESULTS Eleven ginsenosides showed good linear relationships within their own ranges(r>0.9900),whose average recoveries were 97.40％-103.74％with the RSDs of 1.76％-3.48％.CONCLUSION This sensitive,practical and reproducible method can be used for the quality control of Ginseng Radix et Rhizoma in Fukang Tablets.

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.

Objective To investigate the effects of different angles of pulmonary surfactant(PS)administration on the incidence of bronchopulmonary dysplasia and intracranial hemorrhage in preterm infants.Methods A prospective study was conducted on 146 preterm infants(gestational age＜32 weeks)admitted to the Department of Neonatology,Provincial Hospital Affiliated to Anhui Medical University from January 2019 to May 2023.The infants were randomly assigned to different angles for injection of pulmonary surfactant groups:0° group(34 cases),30° group(36 cases),45° group(38 cases),and 60° group(38 cases).Clinical indicators and outcomes were compared among the groups.Results The oxygenation index was lower in the 60° group compared with the other three groups,with shorter invasive ventilation time and oxygen use time,and a lower incidence of bronchopulmonary dysplasia than the other three groups(P＜0.05).The incidence of intracranial hemorrhage was lower in the 60° group compared to the 0° group(P＜0.05).The cure rate in the 60° group was higher than that in the 0° group and the 30° group(P＜0.05).Conclusions The clinical efficacy of injection of pulmonary surfactant at a 60° angle is higher than other angles,reducing the incidence of intracranial hemorrhage and bronchopulmonary dysplasia in preterm infants.[Chinese Journal of Contemporary Pediatrics,2024,26(4):337-342]

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.

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.

Aim To investigate the molecular mechanism by which quercetin inhibits the malignant behavior of breast cancer cells. Methods Breast cancer cell lines MCF-7 and MB231 were used as the research models. Lentiviral transfection was employed to establish tumor cells with high expression of ERa and MAL-AT-1. The expression of MALAT-1 was assessed using RT-qPCR,and ERa expression was determined through Western blot. Subsequently, CCK-8 assay and colony formation assay were conducted to evaluate cell proliferation. PI staining and adenovirus transfection were performed to observe the inhibitory effects of quercetin on breast cancer cell proliferation. Results 17|3-es-tradiol ( E2 ) promoted the proliferation of MCF-7 breast cancer cells, while 5 jjunol L quercetin reversed the promoting effect of E2 on proliferation ( P 0. 05 ) . Quercetin had no effect on MB231 breast cancer cells. Overexpression of ERa significantly inhibited the pro-proliferative effect of E2 on MB231-ERa cells, and quercetin further suppressed this effect. Additionally , quercetin inhibited the expression of MALAT-1. However,this inhibitory effect was reversed by overexpression of MALAT-1, leading to enhanced cell proliferation , cell cycle progression, and clonal formation a-bility. Conclusions Quercetin exerts its anti-tumor effects on breast cancer cells by regulating MALAT-1, dependent on the presence of estrogen receptor. Quercetin shows potential as a therapeutic drug for breast cancer targeting the estrogen receptor.