ObjectiveTo investigate the effect and mechanism of Yijingtang （YJT） in treating diminished ovarian reserve （DOR） in rats by regulating the Toll-like receptor 4 （TLR4）/myeloid differentiation factor 88 （MyD88）/nuclear factor-κB （NF-κB） signaling pathway. MethodsFifty female SD rats with normal estrous cycles were randomly allocated into blank， model， low- and high-dose （12.579 and 25.158 g·kg^-1， respectively） YJT， and dehydroepiandrosterone （7.487 5 mg·kg^-1） groups， with 10 rats in each group. The rats in other groups except the blank group were administrated with the tripterygium glycosides tablet suspension （5 mg·kg^-1） by gavage for 14 days for the modeling of DOR. The rats in the drug treatment groups were administrated with corresponding drugs by gavage from day 15 for 30 consecutive days， and those in the blank and model groups received equal volumes of distilled water. The vaginal exfoliated cell smears were observed to assess the changes in the estrous cycle. The wet weight of bilateral ovaries was weighed for calculation of the ovarian index. Hematoxylin-eosin staining was performed to observe the histopathological changes in the ovaries and the proportions of follicles at various levels were calculated. The serum levels of sex hormones ［follicle-stimulating hormone （FSH）， luteinizing hormone （LH）， estradiol （E₂）， and anti-Müllerian hormone （AMH）］ and inflammatory factors ［tumor necrosis factor-alpha （TNF-α）， interleukin-1beta （IL-1β）， and interleukin-10 （IL-10）］ were determined by enzyme-linked immunosorbent assay. Real-time quantitative polymerase chain reaction（Real-time PCR） was conducted to determine the mRNA levels of TLR4， MyD88， NF-κB profilin α （IκBα）， NF-κB and inflammatory factors in the ovarian tissue. Western blot was employed to measure the protein levels of factors related to the TLR4/MyD88/NF-κB signaling pathway in the ovarian tissue. Immunofluorescence （IF） was used to detect the nuclear translocation of NF-κB p65 in the ovarian tissue. ResultsCompared with the blank group， the model group showed disturbed estrous cycles， increased inflammatory infiltration in the ovarian tissue， decreases in ovarian index and proportion of presinusoidal follicles， and an increase in the proportion of atretic follicles （P<0.05， P<0.01）. In addition， the model group showed elevated serum levels of FSH， LH， TNF-α， and IL-1β， up-regulated mRNA levels of TLR4， MyD88， IκBα， NF-κB， TNF-α， and IL-1β and protein levels of TLR4， MyD88， p-IκBα， and p-NF-κB p65 （P<0.01）， lowered serum levels of AMH， E₂， and IL-10， down-regulated mRNA level of IL-10 （P<0.01）， and massive nuclear translocation of NF-κB p65 in the ovarian tissue. Compared with the model group， dehydroepiandrosterone and low and high doses of YJT restored the disturbed estrous cycle， reduced inflammatory infiltration in the ovarian tissue， increased the ovarian index （P<0.01）， and changed the follicular composition ratio （P<0.01）. Furthermore， the drugs lowered the serum levels of FSH， LH， TNF-α， and IL-1β， down-regulated the mRNA levels of TLR4， MyD88， IκBα， NF-κB， TNF-α， and IL-1β and the protein levels of TLR4， MyD88， p-IκBα， and p-NF-κB p65 （P<0.05， P<0.01）， raised the serum levels of AMH， E₂， and IL-10， up-regulated the mRNA level of IL-10 （P<0.05， P<0.01）， and reduced the nuclear translocation of NF-κB p65 in the ovarian tissue. ConclusionYJT may inhibit the release and expression of inflammatory factors by regulating the TLR4/MyD88/NF-κB signaling pathway to attenuate the inflammatory responses in the ovarian tissue， thereby improving the ovarian function in DOR rats.

ObjectiveTo investigate the effect and mechanism of Yijingtang （YJT） in treating diminished ovarian reserve （DOR） in rats by regulating the Toll-like receptor 4 （TLR4）/myeloid differentiation factor 88 （MyD88）/nuclear factor-κB （NF-κB） signaling pathway. MethodsFifty female SD rats with normal estrous cycles were randomly allocated into blank， model， low- and high-dose （12.579 and 25.158 g·kg^-1， respectively） YJT， and dehydroepiandrosterone （7.487 5 mg·kg^-1） groups， with 10 rats in each group. The rats in other groups except the blank group were administrated with the tripterygium glycosides tablet suspension （5 mg·kg^-1） by gavage for 14 days for the modeling of DOR. The rats in the drug treatment groups were administrated with corresponding drugs by gavage from day 15 for 30 consecutive days， and those in the blank and model groups received equal volumes of distilled water. The vaginal exfoliated cell smears were observed to assess the changes in the estrous cycle. The wet weight of bilateral ovaries was weighed for calculation of the ovarian index. Hematoxylin-eosin staining was performed to observe the histopathological changes in the ovaries and the proportions of follicles at various levels were calculated. The serum levels of sex hormones ［follicle-stimulating hormone （FSH）， luteinizing hormone （LH）， estradiol （E₂）， and anti-Müllerian hormone （AMH）］ and inflammatory factors ［tumor necrosis factor-alpha （TNF-α）， interleukin-1beta （IL-1β）， and interleukin-10 （IL-10）］ were determined by enzyme-linked immunosorbent assay. Real-time quantitative polymerase chain reaction（Real-time PCR） was conducted to determine the mRNA levels of TLR4， MyD88， NF-κB profilin α （IκBα）， NF-κB and inflammatory factors in the ovarian tissue. Western blot was employed to measure the protein levels of factors related to the TLR4/MyD88/NF-κB signaling pathway in the ovarian tissue. Immunofluorescence （IF） was used to detect the nuclear translocation of NF-κB p65 in the ovarian tissue. ResultsCompared with the blank group， the model group showed disturbed estrous cycles， increased inflammatory infiltration in the ovarian tissue， decreases in ovarian index and proportion of presinusoidal follicles， and an increase in the proportion of atretic follicles （P<0.05， P<0.01）. In addition， the model group showed elevated serum levels of FSH， LH， TNF-α， and IL-1β， up-regulated mRNA levels of TLR4， MyD88， IκBα， NF-κB， TNF-α， and IL-1β and protein levels of TLR4， MyD88， p-IκBα， and p-NF-κB p65 （P<0.01）， lowered serum levels of AMH， E₂， and IL-10， down-regulated mRNA level of IL-10 （P<0.01）， and massive nuclear translocation of NF-κB p65 in the ovarian tissue. Compared with the model group， dehydroepiandrosterone and low and high doses of YJT restored the disturbed estrous cycle， reduced inflammatory infiltration in the ovarian tissue， increased the ovarian index （P<0.01）， and changed the follicular composition ratio （P<0.01）. Furthermore， the drugs lowered the serum levels of FSH， LH， TNF-α， and IL-1β， down-regulated the mRNA levels of TLR4， MyD88， IκBα， NF-κB， TNF-α， and IL-1β and the protein levels of TLR4， MyD88， p-IκBα， and p-NF-κB p65 （P<0.05， P<0.01）， raised the serum levels of AMH， E₂， and IL-10， up-regulated the mRNA level of IL-10 （P<0.05， P<0.01）， and reduced the nuclear translocation of NF-κB p65 in the ovarian tissue. ConclusionYJT may inhibit the release and expression of inflammatory factors by regulating the TLR4/MyD88/NF-κB signaling pathway to attenuate the inflammatory responses in the ovarian tissue， thereby improving the ovarian function in DOR rats.

A growing body of research points out that gut microbiota plays a key role in tumor immunotherapy. By optimizing the composition of intestinal microbiota, it is possible to effectively improve immunotherapy resistance and enhance its therapeutic effect. This article comprehensively analyzes the mechanism of intestinal microbiota influencing tumor immunotherapy resistance, expounds the current strategies for targeted regulation of intestinal microbiota, such as traditional Chinese medicine and plant components, fecal microbiota transplantation, probiotics, prebiotics and dietary therapy, and explores the potential mechanisms of these strategies to improve patients' resistance to tumor immunotherapy. At the same time, the article also briefly discusses the prospects and challenges of targeting intestinal microbiota to improve tumor immunotherapy resistance, which provides a reference for related research to help the strategy research of reversing tumor immunotherapy resistance.

Objective: To explore relationship of sleep quality with overweight and obesity among middle school students, so as to provide a reference basis for improving adolescent sleep health. Methods: From September to December 2023, 5 713 middle school students aged 13 to 18 were selected by stratified cluster random sampling method in six regions, including Shanghai, Suzhou, Taiyuan, Wuyuan, Xingyi and Urumqi. Sleep quality survey was conducted on middle school students by Pittsburgh Sleep Quality Index. Height and weight were measured, and World Health Organization s standards for growth and development of children and adolescents was used to evaluate their nutritional status. Both χ 2 test and Logistic regression analysis were used to analyze the association between sleep quality and nutritional status of middle school students. Results: The non compliance detection rate of sleep quality was 38.4% among girls, but 29.2% among boys, and the difference was of statistical significance( χ 2=54.08, P < 0.01 ). The detection rate of substandard sleep quality was 34.2% in the group with normal nutritional status, 38.3% in the group with overweight, 43.7% in the group with obesity and 26.0% in the group with emaciation, and the difference in the rates of substandard sleep quality among middle school students of different nutritional status was statistically significant ( χ 2=68.15, P <0.01). Logistic regression analysis showed that, after controlling for mental health and physical activity, the detection rate of substandard sleep quality in the obese groups was 1.30 times higher than that in the normal group, respectively( OR =1.30, 95% CI =1.06- 1.59 , P <0.01). Conclusions Sleep quality is correlated with overweight and obesity among middle school students, and there are gender differences. Intervention policies should be formulated according to the characteristics of different genders.

ObjectiveTo explore the clinical characteristics and risk factors for 30-day mortality in hospitalized patients with bloodstream infections (BSI) caused by carbapenem-resistant Klebsiella pneumoniae (CRKP). MethodsData were obtained retrospectively from the electronic medical records of inpatients at a tertiary A-grade hospital in Shanghai from January 2016 to December 2023. The collected variables included age, gender, department, surgical treatment, empirical antibiotic therapy, Pitt Bacteremia score (PBS), Charlson comorbidity index (CCI), INCREMENT-CPE score (ICS), length of hospital stay, the time from CRKP-BSI to discharge and, etc. The follow-up period ended upon discharge, with the follow-up outcomes defined as in-hospital mortality or discharge. The endpoint was defined as death within 30 days (including day 30) caused by CRKP-BSI or infection-related complications. Patients who survived within 30 days after CRKP-BSI were classified into the survival group, while those who died within 30 days were classified into the death group. Independent risk factors for 30-day mortality in patients with CRKP-BSI were analyzed using univariate and multivariate Cox regression analysis. ResultsA total of 71 hospitalized patients with CRKP-BSI, comprising 51 males and 20 females, with an average age of (65.12±18.25) years, were included during the study period. The M (P₂₅, P₇₅) of hospital stay were 37.00 (24.00, 56.00) days, and M (P₂₅, P₇₅) of the duration from CRKP-BSI to discharge or death were 18.00 (7.00, 35.00) days. There were 20 deaths (28.17%) in the death group and 51 survivors (71.83%) in the survival group. The results of multivariate Cox regression analysis showed that the ICS as an independent risk factor for 30-day mortality in CRKP-BSI patients (HR=1.379, 95%CI: 1.137‒1.671, P=0.001). Each 1-point increase in the ICS was associated with a 37.9% increase in the risk of mortality. ConclusionThe ICS is found to be a risk factor for 30-day mortality in patients with CRKP-BSI, which may facilitate the prediction for the risk of 30-day mortality and thereby support clinical decision-making for patients with CRKP-BSI.

The choice of ligation site of inferior mesenteric artery and vein in radical resection of rectal cancer still is crucial and full of controversy. It is also the key to determine whether the lymph node dissection is complete, whether the related nerves and vessels are injured after operation, whether the blood supply of the bowel and the anastomotic stoma are affected, and whether the quality of life of patients is guaranteed. Therefore, this article reviews the literature at home and abroad in recent years and summarizes the treatment of inferior mesenteric artery and vein ligation position, and elaborates the influence of different ligation sites on the oncological benefit and functional prognosis of patients, aiming to provide clinical reference for surgeons to solve such problems and achieve the best clinical effect.

Objective:To establish an HPLC method for benzyl benzoate related substances and propose revision suggestions for the quality standard of this excipient.Methods:Phenylsilane bond and silica gel were used as fill-ers,and methanol-1％acetic acid(60:40)was used as the mobile phase at the flow rate of 1.0 mL·min-1.The detection wavelength was 254 nm and the injection amount was 20 μL.Results:Based on the results of the de-struction test and taking into account the separation requirements,the chromatographic conditions for benzyl benzo-ate related substances were confirmed and methodological validation was conducted.The detection limits for benzoic acid and benzaldehyde in related substances were 0.2 μg·mL-1 and 0.01 μg·mL-1.The correction factors for benzoic acid and benzaldehyde were 1.0 and 0.1,respectively.According to the newly established method,six batches of benzyl benzoate samples from four enterprises were inspected for related substances,and benzaldehyde was detected with content from 0.02％to 0.1％.The total amount of impurities was from 0.02％to 0.9％.Conclusion:The newly established method can be added to the quality standards of benzyl benzoate,and different impurity limits can be formulated according to the different administration routes in order to better control drug quality.

Perihilar cholangiocarcinoma(PHC)is a common malignancy of biliary tract,for which surgery is the most effective treatment.However,its prognosis is not satisfactory even after surgical resection.In recent years,there have been some new advances in the surgical treatment of PHC.In this paper,we reviewed the existing literatures,demonstrated the current situation of preoperative biliary drainage,liver hyperplasia,hepatic resection,liver transplantation and minimally invasive surgery in the treatment of PHC,and prospected the future research direction.

Post-endoscopic retrograde cholangiopancreatography pancreatitis(PEP)is one of the most common complications after endoscopic retrograde cholangiopancreatography(ERCP).Numerous PEP prediction models have been established based on different statistical methods at home and abroad.The PEP prediction model,as a tool for evaluating and screening high-risk populations,can provide a basis for medical staff to find high-risk PEP patients early and take effective preventive measures.In recent years,new PEP prediction models have appeared one after another,but there is still a lack of recognized reliable prediction models in clinic.This article reviews the research status of PEP risk prediction models,aim to provide a direction for establishing a more reliable,accurate,and practical PEP risk prediction model in the later period.

Redox-sensitive cysteine(RSC)thiol plays an important role in many biological processes such as photosynthesis,cellular metabolism,and transcription.Therefore,it is necessary to identify red-ox-sensitive cysteine accurately.However,traditional redox-sensitive cysteine identification is very ex-pensive and time-consuming.At present,there is an urgent need for a mathematical calculation method to identify sequence information and redox-sensitive cysteines quickly and accurately.Here,we devel-oped an effective predictor called iRSC-PseAAC,which used the dimension reduction algorithm LDA combined with the support vector machine to predict redox-sensitive cysteine sites.In the cross-validation results,the specificity(Sp),sensitivity(Sn),accuracy(Acc)and Matthews correlation coefficient(MCC)were 0.841,0.868,0.859 and 0.692 respectively.In the independent dataset results,the Sp,Sn,Acc and MCC were 0.906,0.882,0.890 and 0.767 respectively.compared with existing prediction methods,iRSC-PseAAC had obvious improvement effect.The method proposed for this study can also be used for many problems in computational proteomics.