Background and aims As a ferroptosis inducer, sorafenib, a first-line treatment for hepatocellular carcinoma (HCC), has a significant antitumor effect. Nonetheless, HCC patients frequently develop sorafenib resistance. Here, we investigated the impacts of progestagen-associated endometrial protein (PAEP), which controls sorafenib resistance and tumorigenesis in HCC. Furthermore, we investigated the function of PAEP and the underlying molecular mechanisms that cause HCC ferroptosis when sorafenib is applied. Methods Western blot analysis, cell proliferation, colony formation and animal experiments were performed to investigate the function of PAEP in sorafenib resistance and tumorigenesis in HCC. We detected the levels of reactive oxygen species, iron, and malondialdehyde and preformed transmission electron microscopy to investigate the relationship between PAEP and ferroptosis. Co-immunoprecipitation (co-IP) assay was performed to investigate the underlying molecular mechanisms of PAEP that cause HCC ferroptosis. Results PAEP was significantly overexpressed in HCC tissues, and this was associated with a poor clinical prognosis. PAEP silencing dramatically reduced HCC cells’ malignant phenotype. We found that sorafenib-induced ferroptosis was more sensitive to HCC cells with PAEP knockdown. Furthermore, the orthotopic cell line-derived xenograft mouse model results showed that sorafenib sensitivity can be effectively increased in vivo by PAEP knockdown. We determined that transferrin (TF) was a PAEP target using the String database, and we further supported this finding with Co-IP analysis. Additionally, on sorafenib-induced ferroptosis in HCC cells, TF partially reversed the effects of PAEP knockdown. Conclusions Our research indicates that PAEP may be a potential biomarker for predicting sorafenib resistance in HCC and disruption of PAEP expression may be a potential cancer-directed therapeutic option for HCC.

Objective To investigate the effects and underlying mechanisms of total flavonoids of sarcandra glabra(TFFSG)on bone marrow mesenchymal stem cells(BMSCs)and their derived exosomes in immune thrombo-cytopenia(ITP),with a focus on promoting megakaryocyte differentiation and maturation.Methods BMSCs induced by rabbit anti-rat platelet serum(APS)were divided into five groups:a blank control group,an ITP-BMSCs model group,and three TFFSG intervention groups with low(1.95 μg/mL),medium(3.90 μg/mL),and high doses(7.80 μg/mL).The apoptosis rates and the expression levels of apoptosis-related proteins-B-cell lymphoma 2(Bcl-2),Bcl-2-associated X protein(BAX),and Cysteinyl aspartate-specific proteinase-3(Caspase-3)-were assessed.Exosomes were isolated from the blank control group(NC-BMSCs-Exos),the ITP-BMSCs model group(ITP-BMSCs-Exos),and the medium-dose TFFSG group(TFFSG-BMSCs-Exos).Each group's exosomes(5 μg/mL)were co-cultured with megakaryocytic lineage Dami cells for 96 hours.Flow cytometry was employed to evaluate the expression of megakaryocytic differentiation markers(CD41a,CD42b,CD61)and the proportion of polyploid cells(≥4 N)in each group.Western Blot analysis was conducted to examine the expression of p-MEK1/2,MEK1/2,p-ERK1/2,and ERK1/2 across all groups.Results Compared with the ITP-BMSCs model group,the apoptosis rates in all TFFSG intervention groups were significantly reduced(P<0.01).In the medium-and high-dose TFFSG groups,BAX and Caspase-3 expression levels were markedly downregulated,whereas Bcl-2 expression was upregulated(P<0.05,P<0.01).Compared with the ITP-BMSCs-Exos group,the TFFSG-BMSCs-Exos group demonstrated increased expression of CD41a+,CD42b+,and CD61+,a higher proportion of polyploid cells(≥4 N)(P<0.05),as well as elevated ratios of p-MEK1/2 to MEK1/2 and p-ERK1/2 to ERK1/2(P<0.05).Conclusion TFFSG inhibits apopto-sis of ITP-state BMSCs in vitro and promotes megakaryocyte differentiation and polyploidization maturation through BMSC-derived exosomes by activating the MEK1/2-ERK1/2 signaling pathway.

Objective To develop a deep learning model based on fundus retinal images to improve the detection rate of mild cognitive impairment(MCI)in patients with coronary heart disease,achieve early intervention and improve prognosis.Methods The study was a single-center cross-sectional study that retrospectively included patients diagnosed with coronary heart disease(CHD)by coronary angiography(≥50％ stenosis of at least one coronary vessel)from Beijing Anzhen Hospital between November 2021 and December 2022.The whole data set was randomly divided into the training set and the testing set according to the ratio of 8∶2 for model development.After that,the patient data of the same center from January 2023 to April 2023 were included in the time verification method to verify the model.The diagnostic criteria for MCI were MMSE＜27 or MoCA＜26.Four kinds of convolutional neural network(CNN)architectures were used to train fundus images,and a comprehensive vision model of MCI detection was established through model integration.The area under the curve(AUC),sensitivity and specificity of the receiver operating curve(ROC)were used to evaluate the performance of the AI model.Results We collected 5 880 eligible fundus images from 3 368 CHD patients.Based on the results of the MMSE scale,the algorithm was labeled,including 2 898 males and 527 MCI patients.The AUC of the deep learning model in the test group is 0.733(95％CI 0.688-0.778),and the sensitivity of the algorithm in the test group is 0.577(95％CI 0.528-0.625)by using the operating point with the maximum sum of sensitivity and specificity.With a specificity of 0.758(95％CI 0.714-0.802),corresponding to a validated AUC of 0.710(95％CI 0.601-0.818).Based on the results of the MoCA scale,the algorithm labels 2 437 males and 1 626 MCI patients.The AUC of the deep learning model in the test group was 0.702(95％CI 0.671-0.733).The operating point with the maximum sum of sensitivity and specificity was selected,and the sensitivity of the algorithm was 0.749(95％CI 0.719-0.778)and the specificity was 0.561(95％CI 0.527-0.595),corresponding to the AUC value of the verification group was 0.674(95％CI 0.622-0.726).Conclusions The deep learning algorithm model based on fundus images has good diagnostic performance,and may be used as a new non-invasive,convenient and rapid screening method for MCI in CHD population.

Objective To review the research of safe injection protocols for peripheral norepinephrine(pNE),to make clear the main contents of safe injection protocols and the compliance of clinical implementation protocols,and to provide reference for clinical nurses to use drugs safely.Methods Systematic searches were conducted in the PubMed database,the Embase database from the Netherlands,the Web of Science,the Cochrane library,CNKI,Wanfang database,VIP,and the China biomedical literature database for studies related to safe injection protocols for pNE.The search period extended from the establishment of the databases to April 30,2024.Two researchers conducted data extraction and summary analysis of the included literature.Results A total of 10 articles were incorporated,including 2 guidelines,4 observational retrospective cohort studies,2 observational prospective cohort studies,2 ambispective cohort study.All documents provide a complete safe injection scheme of pNE,and its main contents were as follows:the drug concentration should be diluted to 8～64 mg/L;the injection dose should be small,and the maximum dose should not exceed 0.5 μg·kg-1·min-1 or 25 μg/min;a short infusion time was appropriate,among which 4 schemes require≤24 hours;intravenous catheters should be large-bore models,mainly 16,18 and 20 G;selection of infusion sites with favorable venous conditions of upper limb should be selected for injection;during infusion,regular and effective monitoring was required,and the frequency of monitoring should be once an hour,not exceeding a maximum of 2 hours;observation of the puncture site,and must assess whether there was blood return to the venous pathway,develop an emergency plan for drug extravasation.Several studies provided the compliance analysis of the protocol.The items with the highest compliance were using the drug concentration specified in the protocol,with the highest implementation rate of 100.0%.The items with low compliance were:using ultrasonic catheterization or evaluation,with minimum 26.6%;monitor according to the specified time frequency,with a minimum of 36.0%;selection of infusion sites,with a minimum of 65.0%.Conclusion The pNE is safe and feasible in emergency situations,but it comes with numerous risks and limitations.Norepinephrine(NE)should be administered at low concentrations and small doses,using large-caliber venous indwelling needles,and choosing optimal injection sites.Ultrasound assessment and localization can be used if conditions permit.Short-term infusion is preferred,and effective monitoring should be conducted at regular intervals during the infusion.Emergency plans for drug extravasation should be established.Developing safe injection protocols can reduce the incidence of adverse events such as extravasation.

Objective To develop a deep learning model based on fundus retinal images to improve the detection rate of mild cognitive impairment(MCI)in patients with coronary heart disease,achieve early intervention and improve prognosis.Methods The study was a single-center cross-sectional study that retrospectively included patients diagnosed with coronary heart disease(CHD)by coronary angiography(≥50％ stenosis of at least one coronary vessel)from Beijing Anzhen Hospital between November 2021 and December 2022.The whole data set was randomly divided into the training set and the testing set according to the ratio of 8∶2 for model development.After that,the patient data of the same center from January 2023 to April 2023 were included in the time verification method to verify the model.The diagnostic criteria for MCI were MMSE＜27 or MoCA＜26.Four kinds of convolutional neural network(CNN)architectures were used to train fundus images,and a comprehensive vision model of MCI detection was established through model integration.The area under the curve(AUC),sensitivity and specificity of the receiver operating curve(ROC)were used to evaluate the performance of the AI model.Results We collected 5 880 eligible fundus images from 3 368 CHD patients.Based on the results of the MMSE scale,the algorithm was labeled,including 2 898 males and 527 MCI patients.The AUC of the deep learning model in the test group is 0.733(95％CI 0.688-0.778),and the sensitivity of the algorithm in the test group is 0.577(95％CI 0.528-0.625)by using the operating point with the maximum sum of sensitivity and specificity.With a specificity of 0.758(95％CI 0.714-0.802),corresponding to a validated AUC of 0.710(95％CI 0.601-0.818).Based on the results of the MoCA scale,the algorithm labels 2 437 males and 1 626 MCI patients.The AUC of the deep learning model in the test group was 0.702(95％CI 0.671-0.733).The operating point with the maximum sum of sensitivity and specificity was selected,and the sensitivity of the algorithm was 0.749(95％CI 0.719-0.778)and the specificity was 0.561(95％CI 0.527-0.595),corresponding to the AUC value of the verification group was 0.674(95％CI 0.622-0.726).Conclusions The deep learning algorithm model based on fundus images has good diagnostic performance,and may be used as a new non-invasive,convenient and rapid screening method for MCI in CHD population.

Objective To investigate the association between intraoperative dexamethasone administration and long-term survival outcomes.Methods A total of 1 629 NSCLC patients who underwent lung tumor resection between January 2008 and December 2014 were included in this study.A propensity score-matched cohort was generated at a ratio of 1∶2 to compare patients who received dexamethasone with those who did not.This matching process resulted in a cohort of 532 patients in the non-DEX group and 283 patients in the DEX group.Within this propensity score-matched cohort,disease-free survival(DFS)and overall survival(OS)were compared between the non-DEX and DEX groups using the Kaplan-Meier method.Additionally,Cox proportional hazards regression analysis was used to evaluate the associations between intraoperative administration of dexamethasone and high-risk factors for postoperative nausea and vomiting(PONV),as well as their impact on DFS and OS.Results After propensity score matching,intraoperative dexamethasone was significantly associated with worse OS(P=0.005),while no significant correlation was observed between intraoperative dexamethasone and DFS.Multivariate Cox regression analyses indicated that intraoperative dexamethasone was associated with poorer overall survival(HR=1.233,95%CI:1.002～1.516,P=0.048).In subgroup analyses,intraoperative dexamethasone was significantly associated with shorter OS in the female,video-assisted thoracoscopic surgery(VATS),prolonged anesthetic time,and inhalation anesthesia subgroups.Conclusions There was a significant correlation between intraopera-tive dexamethasone administration and overall survival in NSCLC patients following curative surgery.In high-risk subgroups for PONV,including females,those undergoing VATS,patients with prolonged anesthetic duration,and those under inhalation anesthesia,the administration of intraoperative dexamethasone was associated with a potentially poorer prognosis compared to patients who did not receive intraoperative dexamethasone.

Objective:To investigate the effects of apical periodontitis of mandibular primary molars on the development of mandibu-lar permanent premolars in children in Guangzhou.Methods:335 children aged 4-9 years with apical periodontitis of mandibular pri-molar at one side and normal healthy homologous tooth at another side were included and divided into 2 groups:Group A(n=200)in-cluded the first mandibular premolars and group B(n=135)included the second mandibular premolars.Subgroup A1 and B1 were the apical periodontitis groups,subgroup A2 and B2 were the normal healthy groups.The degree of root destruction of primary teeth,the degree of destruction and development of the dental follicle of permanent teeth,the mesial and distal direction changes,and the eruption height were observed and measured on the panoramic raidiographs,data were statistically analyzed.Results:In the 7-year-old children of A1 and the 6-year-old of B1 groups,the development degree of successor permanent teeth was lower than that of group A2 and group B2 of the same age children respectively(P＜0.05).In the 6-7-year-old children of group A1,the permanent teeth development of boys was slower than that of the girls(P＜0.05).There was no gender difference in dental follicle destruction and malposition of the perma-nent teeth in both A1 and B1 groups(P＞0.05).The proportion of malposition of the successor permanent teeth in group A1 increased with the primary teeth damage degree increace(P＜0.05),while the proportion of malposition of the successor permanent teeth in group B1 showed no significant difference(P＞0.05).Positive correlation between the damage degree of primary teeth and dental follicle of per-manent teeth was observed(rA1=0.41,rB1=0.21,P＜0.05).In boys aged 7-8 years,the succesor permanent teeth eruption in group A1 was higher than that in group A2(P＜0.05),and there was no significant difference between group B1 and group B2(P＞0.05).Conclusion:In the later stages of root stabilization of primary molars,periapical inflammation of primary teeth may cause developmen-tal delay of the succesor permanent teeth,and the delay degree is higher in boys than in girls.With the deterioration of the periapical tissue of primary teeth,the destruction of the dental follicle of permanent teeth may deepen,and the mandibular first premolar is more likely to have abnormal eruption.

Objective To explore the differences in coronary-based and lesion-based fat attenuation index(FAI)in patients with coronary artery disease(CAD)across different risk stratifications,and to compare the diagnostic efficiency of coronary-based and lesion-based FAI in stable CAD patients with myocardial ischemia.Methods The patients with CAD,who underwent preoperative coronary CT angiography(CCTA)and invasive coronary angiography(ICA)with coronary fractional flow reserve(FFR)measurement between Apr 2019 and Oct 2022 in Zhongshan Hospital,Fudan University,were retrospectively collected.There were 57 cases of acute coronary syndrome(ACS)patients and 206 cases of stable CAD patients included following inclusion criteria.The coronary-based and lesion-based FAI were measured,and the differences in these indices were recorded and analyzed among ACS patients,ischemic and non-ischemic groups of stable CAD patients(FFR=0.8 as the threshold).ROC curves were utilized to assess the diagnostic efficiency of coronary-based and lesion-based FAI for myocardial ischemia in stable CAD patients.Results The coronary-based FAI and lesion-based FAI in ACS patients were significantly higher than those in stable CAD patients[coronary-based FAI:(-72.40±6.83)HU vs.(-76.82±9.01)HU,P<0.001;lesion-based FAI:(-65.65±4.79)HU vs.(-77.48±8.64)HU,P<0.001].Among stable CAD patients,the lesion-based FAI in the ischemic group was significantly higher than that in the non-ischemic group[(-69.28±5.65)HU vs.(-80.10±7.75)HU,P<0.001].The diagnostic efficiency of lesion-based FAI for predicting myocardial ischemia in stable CAD patients was superior to coronary-based FAI(AUC:0.892 vs.0.525,Z=9.803,P<0.001).Conclusion Coronary-based and lesion-based FAI tended to be higher in ACS patients than in stable CAD patients,suggesting a potential for stratifying CAD patients with different risks.Lesion-based FAI showed some promise in evaluating myocardial ischemia among stable CAD patients.

Objective To explore the differences in coronary-based and lesion-based fat attenuation index(FAI)in patients with coronary artery disease(CAD)across different risk stratifications,and to compare the diagnostic efficiency of coronary-based and lesion-based FAI in stable CAD patients with myocardial ischemia.Methods The patients with CAD,who underwent preoperative coronary CT angiography(CCTA)and invasive coronary angiography(ICA)with coronary fractional flow reserve(FFR)measurement between Apr 2019 and Oct 2022 in Zhongshan Hospital,Fudan University,were retrospectively collected.There were 57 cases of acute coronary syndrome(ACS)patients and 206 cases of stable CAD patients included following inclusion criteria.The coronary-based and lesion-based FAI were measured,and the differences in these indices were recorded and analyzed among ACS patients,ischemic and non-ischemic groups of stable CAD patients(FFR=0.8 as the threshold).ROC curves were utilized to assess the diagnostic efficiency of coronary-based and lesion-based FAI for myocardial ischemia in stable CAD patients.Results The coronary-based FAI and lesion-based FAI in ACS patients were significantly higher than those in stable CAD patients[coronary-based FAI:(-72.40±6.83)HU vs.(-76.82±9.01)HU,P<0.001;lesion-based FAI:(-65.65±4.79)HU vs.(-77.48±8.64)HU,P<0.001].Among stable CAD patients,the lesion-based FAI in the ischemic group was significantly higher than that in the non-ischemic group[(-69.28±5.65)HU vs.(-80.10±7.75)HU,P<0.001].The diagnostic efficiency of lesion-based FAI for predicting myocardial ischemia in stable CAD patients was superior to coronary-based FAI(AUC:0.892 vs.0.525,Z=9.803,P<0.001).Conclusion Coronary-based and lesion-based FAI tended to be higher in ACS patients than in stable CAD patients,suggesting a potential for stratifying CAD patients with different risks.Lesion-based FAI showed some promise in evaluating myocardial ischemia among stable CAD patients.

Objective:To investigate the clinical characteristics, prevalent serum groups, and drug sensitivity test results of epidemic cerebrospinal meningitis in children in Shanghai area.Methods:The study was a retrospective case-control study. The children hospitalized for epidemic cerebrospinal meningitis in Children′s Hospital of Fudan University from January 2003 to December 2023 were enrolled. Clinical data were collected, including demographic characteristics, clinical manifestations, pathogen detection results, strain typing, and drug sensitivity test results.Results:A total of 77 children with confirmed epidemic cerebrospinal meningitis were hospitalized, including 50 males (64.94%) and 27 females (35.06%). The age was 24(8, 60) months, with 16 cases (20.78%) aged 0 to five months, nine cases (11.69%) aged six to 11 months, 21 cases (27.27%) aged 12 to 35 months, 16 cases (20.78%) aged three to five years, 13 cases (16.89%) aged six to 11 years, and two cases (2.60%) aged 12 years. The highest number of cases was in spring, with 36 cases (46.75%), followed by winter with 25 cases (32.47%). Thirty-three cases (42.86%) had vaccinated with meningococcal vaccine. The clinical symptoms included fever in all 77 cases (100.00%), skin petechiae and ecchymosis in 58 cases (75.32%), vomiting in 56 cases (72.73%), respiratory symptoms in 12 cases (15.58%), convulsions in 17 cases (22.08%), conscious disturbance in 24 cases (31.17%), shock in 38 cases (49.35%), circulatory failure in 13 cases (16.88%), and respiratory failure in seven cases (9.09%). Among the 77 children, fifty-seven cases (74.03%) were common type and 20 cases (25.97%) were fulminant type, with seven deaths (9.09%). Neisseria meningitidis (Nm) was detected in 55 cases (71.43%), with the positive rates of skin petechiae smear and cerebrospinal fluid smear of 23.26%(10/43) and 19.44%(14/72), respectively. The positive rates of cerebrospinal fluid culture and blood culture were 36.51%(23/63) and 31.51% (23/73), respectively. The positive rate of polymerase chain reaction detection was 79.17%(38/48). The serogroups were determined in the 38 Nm strains, including 18 cases (47.37%) of group B, 14 cases (36.84%) of group C, five cases (13.16%) of group A, and one case (2.63%) of group Y. Among the 29 Nm strains tested for antimicrobial susceptibility, one strain (3.45%) was resistant to penicillin, two strains (6.90%) were resistant to cefotaxime, 21 strains (72.41%) were resistant to ciprofloxacin, and 25 strains (86.21%) were resistant to sulfamethoxazole/trimethoprim. All strains were sensitive to ceftriaxone, azithromycin, meropenem, rifampicin, chloramphenicol, and minocycline. Conclusions:Epidemic cerebrospinal meningitis presents a low prevalence trend in children in Shanghai area. Infants and toddlers remain the major susceptible individuals. Nm has reduced sensitivity to penicillin, but remains sensitive to ceftriaxone. Ceftriaxone is recommended as the first-line choice for antibiotic therapy. The prevalent serogroups are Group B, Group C, Group A and Group Y in sequence. Immunization plan adjustment should be suggested. Vaccination covering the current epidemic serum population as early as possible should be recommended.