Objective To investigate the changes and clinical value of inflammatory derived indices re-lated to myelosuppression caused by chemotherapy in patients with solid tumors.Methods The clinical data of 189 patients with malignant tumor who received chemotherapy in Jiangxi Cancer Hospital from January 2022 to August 2023 were retrospectively analyzed.According to the grade of myelosuppression,they were di-vided into 0 degree(n=35),Ⅰ degree(n=23),Ⅱ degree(n=31),Ⅲ degree(n=21),Ⅳ degree non-infec-tion(n=51)and Ⅳ degree infection(n=28).The levels of inflammatory index[monocyte(MO),lympho-cyte(LY)],reticulocyte(RET),prealbumin(PA),albumin(ALB),inflammatory infection index[C reactive protein(CRP)and serum amyloid A(SAA)]and complex derived inflammatory index[neutrophil to lym-phocyte ratio(NLR),systemic immunoinflammatory index(SII),systemic inflammatory response index(SI-RI),lymphocyte to C reactive protein ratio(LCR),C reactive protein to albumin ratio(CAR)]were collected and compared in patients with different degrees of myelosuppression.The correlation between each index and myelosuppression score was analyzed,and the influencing factors of myelosuppression after chemotherapy in tumor patients were analyzed by multivariate logistic regression.Results With the severity of myelosuppres-sion,the levels of MO,LY,SII,SIRI and LCR decreased gradually and showed a downward trend(P＜0.05).The levels of CRP,SAA and CAR were increased gradually(P＜0.05).RET and PA levels were decreased when myelopathic depression reached Ⅲ degree or above(P＜0.05).When myelosuppression reached gradeⅣ and above,the level of NLR decreased(P＜0.05).CRP,SAA and CAR were positively correlated with my-elosuppression degree,while MO,LY,RET,PA,NLR,SII,SIRI and LCR were negatively correlated with my-elosuppression degree(P＜0.05).The results of multivariate logistic regression analysis showed that LY and NLR were the influencing factors of myelosuppression caused by chemotherapy in tumor patients(P＜0.05).Conclusion Myelosuppression caused by solid tumor chemotherapy can lead to a continuous decline in the body's anti-tumor immunity.Deep myelosuppression is unfavorable to the prognosis of patients,and infection can promote the development of tumors and lead to poor prognosis.

Bacterial infection is a major threat to global public health, and can cause serious diseases such as bacterial skin infection and foodborne diseases. It is essential to develop a new method to rapidly diagnose clinical multiple bacterial infections and monitor food microbial contamination in production sites in real-time. In this work, we developed a 4-mercaptophenylboronic acid gold nanoparticles (4-MPBA-AuNPs)-functionalized hydrogel microneedle (MPBA-H-MN) for bacteria detection in skin interstitial fluid. MPBA-H-MN could conveniently capture and enrich a variety of bacteria within 5 min. Surface enhanced Raman spectroscopy (SERS) detection was then performed and combined with machine learning technology to distinguish and identify a variety of bacteria. Overall, the capture efficiency of this method exceeded 50%. In the concentration range of 1 × 10⁷ to 1 × 10¹⁰ colony-forming units/mL (CFU/mL), the corresponding SERS intensity showed a certain linear relationship with the bacterial concentration. Using random forest (RF)-based machine learning, bacteria were effectively distinguished with an accuracy of 97.87%. In addition, the harmless disposal of used MNs by photothermal ablation was convenient, environmentally friendly, and inexpensive. This technique provided a potential method for rapid and real-time diagnosis of multiple clinical bacterial infections and for monitoring microbial contamination of food in production sites.

Objective To explore the quality markers of Puerariae Lobatue Radix;To predict its"efficacy component group"with alcohol detoxification and liver protection effects.Methods Fingerprints of 26 batches of Puerariae Lobatue Radix samples from different origins in China was established.Multivariate statistical analysis was employed to identify quality markers,while network pharmacology and molecular docking were used to predict the potential"efficacy component group".Results UPLC fingerprint analysis calibrated 11 common peaks.Clustering analysis classified 26 batches of samples into 3 categories,and 7 quality markers were ultimately screened through multivariate statistical analysis,including mirificin,puerarin,puerarin-6''-O-xyloside,3'-methoxypuerarin,ononin,genistin and daidzin.Network pharmacology revealed that all 7 markers interacted with targets related to alcohol-associated liver disease,identifying 19 core targets such as TNF,CASP3,BCL2,MMP9,IL2,and 93 signaling pathways involving IL-17 and PI3K-Akt signaling pathways.Molecular docking demonstrated strong binding affinity between the 7 markers and target proteins,with binding energies<-5 kcal/mol.Conclusion The"efficacy component group",main targets and signaling pathways predicted in this study can provide support for the research on the mechanism,material basis and quality control of the alcohol detoxification and liver protection effects of Puerariae Lobatue Radix.

Bacterial infection is a major threat to global public health,and can cause serious diseases such as bacterial skin infection and foodborne diseases.It is essential to develop a new method to rapidly di-agnose clinical multiple bacterial infections and monitor food microbial contamination in production sites in real-time.In this work,we developed a 4-mercaptophenylboronic acid gold nanoparticles(4-MPBA-AuNPs)-functionalized hydrogel microneedle(MPBA-H-MN)for bacteria detection in skin inter-stitial fluid.MPBA-H-MN could conveniently capture and enrich a variety of bacteria within 5 min.Surface enhanced Raman spectroscopy(SERS)detection was then performed and combined with ma-chine learning technology to distinguish and identify a variety of bacteria.Overall,the capture efficiency of this method exceeded 50％.In the concentration range of 1 × 10 7 to 1 × 10 10 colony-forming units/mL(CFU/mL),the corresponding SERS intensity showed a certain linear relationship with the bacterial concentration.Using random forest(RF)-based machine learning,bacteria were effectively distinguished with an accuracy of 97.87％.In addition,the harmless disposal of used MNs by photothermal ablation was convenient,environmentally friendly,and inexpensive.This technique provided a potential method for rapid and real-time diagnosis of multiple clinical bacterial infections and for monitoring microbial contamination of food in production sites.

Objective:To investigate the molecular typing characteristics of patients with ovarian endometrioid adenocarcinoma(OEA)and its relationship with prognosis.Methods:A retrospective analysis was performed on the clinical medical records and follow-up outcomes of 176 patients with OEA admitted to the gynecology depart-ment of West China Second University Hospital of Sichuan University from June 1,2011 to December 31,2019.Based on the results of genetic testing and pathological immunohistochemical data,the molecular subtypes of the patients were determined and divided into three groups:mismatch repair deficiency(dMMR)group(22 cases),no specific molecular profile(NSMP)group(71 cases),and p53 mutation(p53abn)group(83 cases).The differences in clinicopathological characteristics among the three subgroups were compared.Kaplan-Meier method was used to draw survival curves.The overall survival(OS)and progression free survival(PFS)curves of pa-tients were compared in different molecular subtypes and different age groups using Log-rank test.Results:①There were no statistically significant differences among the three groups in age,body mass index(BMI),meno-pause,and the presence of internal medical comorbidities(P＞0.05).②There were no statistically significant differences among the three groups in tumor differentiation degree,International Federation of Gynecology and Obstetrics(FIGO)staging,preoperative carbohydrate antigen 125(CA125)level,preoperative neoadjuvant chemo-therapy,para-aortic lymph node metastasis,pelvic lymph node metastasis,concurrent endometrial cancer,and malignant transformation of ovarian endometriotic cysts(P＞0.05).③There were statistically significant differ-ences in 5-year OS and PFS among the three groups(P＜0.05).The 5-year OS and PFS of the dMMR group were superior to those of the p53abn group(P＜0.05).Conclusions:There were no significant differences in the baseline characteristics and the clinicopathological features of tumors among patients with different molecular sub-types of OEA.Patients with dMMR-type OEA exhibited more prominent advantages in PFS and OS compared with those with p53abn type.Formulating individualized treatment strategies based on the molecular typing charac-teristics of OEA may improve the clinical prognosis of patients.

Objective:To investigate the molecular typing characteristics of patients with ovarian endometrioid adenocarcinoma(OEA)and its relationship with prognosis.Methods:A retrospective analysis was performed on the clinical medical records and follow-up outcomes of 176 patients with OEA admitted to the gynecology depart-ment of West China Second University Hospital of Sichuan University from June 1,2011 to December 31,2019.Based on the results of genetic testing and pathological immunohistochemical data,the molecular subtypes of the patients were determined and divided into three groups:mismatch repair deficiency(dMMR)group(22 cases),no specific molecular profile(NSMP)group(71 cases),and p53 mutation(p53abn)group(83 cases).The differences in clinicopathological characteristics among the three subgroups were compared.Kaplan-Meier method was used to draw survival curves.The overall survival(OS)and progression free survival(PFS)curves of pa-tients were compared in different molecular subtypes and different age groups using Log-rank test.Results:①There were no statistically significant differences among the three groups in age,body mass index(BMI),meno-pause,and the presence of internal medical comorbidities(P＞0.05).②There were no statistically significant differences among the three groups in tumor differentiation degree,International Federation of Gynecology and Obstetrics(FIGO)staging,preoperative carbohydrate antigen 125(CA125)level,preoperative neoadjuvant chemo-therapy,para-aortic lymph node metastasis,pelvic lymph node metastasis,concurrent endometrial cancer,and malignant transformation of ovarian endometriotic cysts(P＞0.05).③There were statistically significant differ-ences in 5-year OS and PFS among the three groups(P＜0.05).The 5-year OS and PFS of the dMMR group were superior to those of the p53abn group(P＜0.05).Conclusions:There were no significant differences in the baseline characteristics and the clinicopathological features of tumors among patients with different molecular sub-types of OEA.Patients with dMMR-type OEA exhibited more prominent advantages in PFS and OS compared with those with p53abn type.Formulating individualized treatment strategies based on the molecular typing charac-teristics of OEA may improve the clinical prognosis of patients.

Objective To explore the quality markers of Puerariae Lobatue Radix;To predict its"efficacy component group"with alcohol detoxification and liver protection effects.Methods Fingerprints of 26 batches of Puerariae Lobatue Radix samples from different origins in China was established.Multivariate statistical analysis was employed to identify quality markers,while network pharmacology and molecular docking were used to predict the potential"efficacy component group".Results UPLC fingerprint analysis calibrated 11 common peaks.Clustering analysis classified 26 batches of samples into 3 categories,and 7 quality markers were ultimately screened through multivariate statistical analysis,including mirificin,puerarin,puerarin-6''-O-xyloside,3'-methoxypuerarin,ononin,genistin and daidzin.Network pharmacology revealed that all 7 markers interacted with targets related to alcohol-associated liver disease,identifying 19 core targets such as TNF,CASP3,BCL2,MMP9,IL2,and 93 signaling pathways involving IL-17 and PI3K-Akt signaling pathways.Molecular docking demonstrated strong binding affinity between the 7 markers and target proteins,with binding energies<-5 kcal/mol.Conclusion The"efficacy component group",main targets and signaling pathways predicted in this study can provide support for the research on the mechanism,material basis and quality control of the alcohol detoxification and liver protection effects of Puerariae Lobatue Radix.

Objective:To investigate feedback on teaching effectiveness and optimization strategies for flipped classrooms in pediatric probation of eight-year clinical medicine programs, and to provide insights for enhancing the educational quality of pediatric probation.Methods:From June to September 2022, eight-year clinical medicine students from the class of 2018 undergoing pediatric probation were included in the study using purposive sampling. The subjects participated in one-on-one, offline, semi-structured, in-depth interviews to provide feedback on traditional lectures and flipped classroom teaching. The sample size was determined based on the principle of data saturation, with nine students participating in-depth interviews. NVivo 12 software was used for coding and classifying the interview data, which were then analyzed using thematic framework analysis to identify key themes.Results:Analysis of the interview data revealed three themes and ten sub-themes. Specifically, theme 1: The flipped classroom enhanced learning effectiveness but increased students' workload; theme 2: The current pediatric probation was scientifically designed but could be improved; theme 3: Several strategies exist for optimizing the flipped classroom teaching in pediatric probation.Conclusions:The flipped classroom in pediatric probation is in its early stages. While offering some benefits, further exploration and optimization are needed in curriculum design, student motivation, and supervision and evaluation methods.

Objective:To investigate feedback on teaching effectiveness and optimization strategies for flipped classrooms in pediatric probation of eight-year clinical medicine programs, and to provide insights for enhancing the educational quality of pediatric probation.Methods:From June to September 2022, eight-year clinical medicine students from the class of 2018 undergoing pediatric probation were included in the study using purposive sampling. The subjects participated in one-on-one, offline, semi-structured, in-depth interviews to provide feedback on traditional lectures and flipped classroom teaching. The sample size was determined based on the principle of data saturation, with nine students participating in-depth interviews. NVivo 12 software was used for coding and classifying the interview data, which were then analyzed using thematic framework analysis to identify key themes.Results:Analysis of the interview data revealed three themes and ten sub-themes. Specifically, theme 1: The flipped classroom enhanced learning effectiveness but increased students' workload; theme 2: The current pediatric probation was scientifically designed but could be improved; theme 3: Several strategies exist for optimizing the flipped classroom teaching in pediatric probation.Conclusions:The flipped classroom in pediatric probation is in its early stages. While offering some benefits, further exploration and optimization are needed in curriculum design, student motivation, and supervision and evaluation methods.

Objective To investigate the diagnostic effect of 64-slice spiral CT in patients with traumatic brain injury(TBI),and to evaluate the correlation between CT scores and cognitive function.Methods A total of 138 cases of TBI patients underwent surgical treatment were selected.The surgical pathological examination results were regarded as the gold standard.The prognosis was assessed by Glasgow outcome scale(GOS).The CT scores of all patients were compared by Montreal cognitive assessment(MoCA)and mini-mental state examination(MMSE)scores,and correlation between CT scores and cognitive-related scores was analyzed.Results The sensitivity of 64-slice spiral CT was 74.64%,82.61%and 98.55%within 3 hours,1 day and 2-3 days after admission,respectively.The MoCA and MMSE scores of severe patients were significantly higher than those of moderate and mild patients,and the MoCA and MMSE scores of moderate patients were significantly higher than those of mild patients(P<0.05).CT score was positively correlated with both MoCA and MMSE scores(P<0.05).The GOS of severe patients was significantly higher than that of moderate and mild patients,and the GOS of moderate patients was significantly higher than that of mild patients(P<0.05).Conclusion TBI can be detected with high sensitivity via 64-slice spiral CT.CT score has a significant positive correlation with the cognitive function,and is closely related to the prognosis.It can provide an effective basis for the clinical diagnosis and treatment.