OBJECTIVES: To explore the effects of exogenous trigger (hCG/GnRHa) versus endogenous LH surge in natural cycle IVF/ICSI (NC-IVF/ICSI) for patients with diminished ovarian reserve (DOR). METHODS: A retrospective analysis was conducted on 1,118 NC-IVF/ICSI cycles from two reproductive centers between 2013 and 2024. Propensity score matching (PSM) and multivariate logistic regression were used to adjust for confounding factors. The trigger-day hormone threshold was determined using receiver operating characteristic (ROC) curve analysis. Outcome measures included oocyte retrieval rate, 2PN fertilization rate, clinical available embryo rate, high-quality embryo rate, fresh cycle clinical pregnancy rate (CPR), and live birth rate (LBR). RESULTS: After adjusting for confounders via PSM and logistic regression, the exogenous trigger group demonstrated significantly better outcomes across all the evaluated parameters (oocyte retrieval rate, 2PN fertilization rate, transferable embryo rate, high-quality embryo rate, fresh cycle CPR, and LBR) than the endogenous LH surge group (P<0.05). Age-stratified analysis revealed that for the entire cohort, exogenous triggering significantly increased the number of transferable embryos and high-quality embryos (P<0.001). In the 35-39 years old subgroup, exogenous triggering showed significant advantages in oocyte yield, high-quality embryo rate, CPR, and LBR (P<0.05) and resulted in the most pronounced improvement in LBR (OR=6.25, 95% CI: 1.34-29.23). ROC analysis established a decision-day LH threshold of 19.055 mIU/mL (AUC=0.945, specificity=93.3%) for precise stratification of the clinical pathways. CONCLUSIONS For DOR patients undergoing NC-IVF/ICSI, exogenous triggering comprehensively improves the treatment outcomes, particularly providing significant live birth benefits for women aged 35-40 years. An individualized protocol incorporating the LH threshold (19.055 mIU/mL) effectively enhances embryonic developmental potential and live birth rates.
Humans ; Female ; Ovarian Reserve ; Pregnancy ; Propensity Score ; Retrospective Studies ; Fertilization in Vitro ; Sperm Injections, Intracytoplasmic ; Chorionic Gonadotropin ; Pregnancy Rate ; Logistic Models ; Ovulation Induction/methods* ; Gonadotropin-Releasing Hormone ; Adult ; Oocyte Retrieval

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Astragali Radix (AR), a traditional Chinese medicine (TCM), has demonstrated therapeutic efficacy against various diseases, including cardiovascular conditions, over centuries of use. While doxorubicin serves as an effective chemotherapeutic agent against multiple cancers, its clinical application remains constrained by significant cardiotoxicity. Research has indicated that AR exhibits protective properties against doxorubicin-induced cardiomyopathy (DIC); however, the specific bioactive components and underlying mechanisms responsible for this therapeutic effect remain incompletely understood. This investigation seeks to identify the protective bioactive components in AR against DIC and elucidate their mechanisms of action. Through network medicine analysis, astragaloside IV (AsIV) and formononetin (FMT) were identified as potential cardioprotective agents from 129 AR components. In vitro experiments using H9c2 rat cardiomyocytes revealed that the AsIV-FMT combination (AFC) effectively reduced doxorubicin-induced cell death in a dose-dependent manner, with optimal efficacy at a 1∶2 ratio. In vivo, AFC enhanced survival rates and improved cardiac function in both acute and chronic DIC mouse models. Additionally, AFC demonstrated cardiac protection while maintaining doxorubicin's anti-cancer efficacy in a breast cancer mouse model. Lipidomic and metabolomics analyses revealed that AFC normalized doxorubicin-induced lipid profile alterations, particularly by reducing fatty acid accumulation. Gene knockdown studies and inhibitor experiments in H9c2 cells demonstrated that AsIV and FMT upregulated peroxisome proliferator activated receptor γ coactivator 1α (PGC-1α) and PPARα, respectively, two key proteins involved in fatty acid metabolism. This research establishes AFC as a promising therapeutic approach for DIC, highlighting the significance of multi-target therapies derived from natural herbals in contemporary medicine.
Animals ; Doxorubicin/adverse effects* ; Saponins/administration & dosage* ; Isoflavones/pharmacology* ; Rats ; Cardiomyopathies/prevention & control* ; Mice ; Fatty Acids/metabolism* ; Myocytes, Cardiac/metabolism* ; Triterpenes/administration & dosage* ; Male ; Drugs, Chinese Herbal/administration & dosage* ; Humans ; Cardiotonic Agents/administration & dosage* ; Mice, Inbred C57BL ; Cell Line ; Astragalus Plant/chemistry* ; Astragalus propinquus

Objective:To analyze the association of sedentary time and physical activity with the risk of developing chronic obstructive pulmonary disease (COPD) in non-smoking women aged 40 years and above in Songjiang District, Shanghai.Methods:Based on a natural population-based cohort in Songjiang, a total of 18 707 non-smoking women who were aged 40 years and above and without COPD at baseline survey were enrolled in the study. Cox proportional risk regression model was used to analyze the associations of the duration of sedentary behavior, physical activity with the risk for COPD at baseline survey, and the hazard ratio ( HR) of risk for COPD and its 95% CI were calculated. Stratified analyses were performed based on age, BMI, history of respiratory diseases and so on. Sensitivity analyses were conducted by excluding the cases diagnosed with COPD within one year after the baseline survey. Results:As of March 31, 2024, a total of 691 new COPD cases had been recorded after a median follow-up time of 6.96 years with an incidence density of 53.22 per 10 000 person-years. After adjusting for relevant confounders, in the tertile subgroups of sedentary time, the risk for COPD reduced by 17% in the short sedentary time group compared with the long sedentary time group ( HR=0.83,95% CI:0.70-0.99). Compared with the low physical activity level and long sedentary time group, the risk for COPD reduced by 24% in the high physical activity level and short sedentary time group ( HR=0.76, 95% CI: 0.61-0.95) and by 23% in the low physical activity level and short sedentary time group ( HR=0.77, 95% CI: 0.60-0.97). Compared with the non-physical exercise and long sedentary time group, the risk for COPD reduced by 28% in the non-physical exercise and short sedentary time group ( HR=0.72, 95% CI: 0.60-0.87). These associations remained when the cases diagnosed with COPD within one year of the baseline survey were excluded. Conclusions:Increasing physical activity and reducing sedentary time have beneficial effects to prevent COPD in non-smoking women, and reducing sedentary time alone may also reduce the risk for COPD if increasing physical exercise or other physical activity is not possible.

BACKGROUND:Cervical instability is a common orthopedic disease in young and middle-aged people,and is the early manifestation of cervical spondylosis,which has a great impact on the quality of life of patients.Therefore,early diagnosis of cervical instability to implement early intervention has positive clinical and social significance.OBJECTIVE:The clinical prediction model of cervical instability in young and middle-aged people was constructed based on machine learning to realize early screening of cervical instability in young and middle-aged people before X-ray examination.METHODS:From September 2022 to October 2023,155 young and middle-aged adults with cervical instability and 88 with non-cervical instability recruited through recruitment advertisements and spinal department outpatient of Wangjing Hospital,China Academy of Chinese Medical Sciences were selected as research subjects.The research subjects'general information,living and working habits,discomfort symptoms,visual analog scale score,Neck Disability Index,and 36-ltem Short Form Health Survey were collected on site based on questionnaires.The above information was used as predictive factors.After screening,six machine learning algorithms of Support Vector Machine,LightGBM,RandomForest,Logistic,AdaBoost,and XGBClassifier were used to train the model by ten-fold cross-validation method,and the clinical prediction model of cervical instability was constructed.Area under the curve was used as the main evaluation index.Univariate analysis was performed on the predictors,and SHAP method was used to rank the importance of the predictors.Correlation heat maps were used to show the degree of linear correlation between the predictors and the cervical instability.RESULTS AND CONCLUSION:(1)Among the six machine learning models,RandomForest model was chosen as the final prediction model,including nine predictors,such as age,body mass index,neck circumference/neck length,visual analog scale score,Neck Disability Index,bodily pain,general health,vitality,and mental health,area under the curve=0.725 4,and the calibration degree was good.It could be used as a reference tool for early screening of cervical instability in young and middle-aged people.(2)There were significant differences in age,visual analog scale score,Neck Disability Index,bodily pain,general health,and vitality between the two groups(P＜0.05).(3)The order of importance of predictors was age,Neck Disability Index,visual analog scale score,general health,body mass index,vitality,bodily pain,neck circumference/neck length,mental health,among which age,visual analog scale score,Neck Disability Index were positively correlated with cervical instability,while general health,body mass index,vitality,bodily pain,neck circumference/neck length,and mental health were negatively correlated with cervical instability.

Hypoglycemic drugs are an important means of treatment for patients with type 2 diabetes.However,poor,ineffective and even adverse drug reactions often occur in clinical treatment.With the develop-ment of pharmacogenomics,the link between individual genetic variation and drug dose and treatment re-sponse is becoming clearer,resulting in better efficacy and fewer adverse reactions for patients.This article fo-cuses on hypoglycemic drugs and reviews the latest advances in pharmacogenomics,so as to provide references for individualized treatment of type 2 diabetes and prevention of corresponding complications until the realiza-tion of precision medicine

Objective To establish a rat model of acclimatization to motion sickness(MS)induced by rotational stimulation.Methods To determine the stimulation conditions of MS,SD rats were divided into a static control group(SCG)and a single rotation stimulation group(SRG)before being subjected to the motion sickness index(MSI)measurement,open-field experiment and Morris water maze experiment after rotational stimulation to verify the feasibility of MS being induced in rats.Morris water maze experiments were performed to find out whether rotational stimulation could be used to induce MS in rats.During experiments on acclimatization,the SD rats were divided into the control group(Ctrl),one day of rotational stimulation group(Day1),three days of continuous rotational stimulation group(Day3),and seven days of continuous rotational stimulation group(Day7)before the changes in the MSI and behavior of these rats were recorded so as to explore the relationship between continuous stimulation and MS acclimatization in rats.Results After rotational stimulation,the rats showed a significant increase in the number of fecal pellets(P<0.0001)and in the MSI(P<0.0001)compared with the SCG.In the open field experiment,the rats showed a significant decrease in the spontaneous activity time(AT)(P<0.0001),total spontaneous activity distance(TD)(P<0.001)and distance moved by the center point per second(DMCPS)(P<0.001).The time taken to climb onto the platform(latency to find the platform,LP)(P<0.0001)and the total distance to the platform(distance to the platform,DP)(P<0.001)were significantly increased during the Morris water maze experiment.Acclimatization experiments revealed a significant increase in MSI and in the number of fecal pellets in the Day1 and Day3 groups of rotational stimulation compared to the Ctrl group(P<0.0001).AT(P<0.01),TD(P<0.05)and DMCPS(P<0.01)were significantly decreased,while LP and DP were significantly increased(P<0.0001),but there was no statistically significant difference in indices compared with the Day7 group(P>0.05).Conclusion Sinusoidal stimulation can induce MS in rats,and twice-a-day,continuous rotational stimulation for seven days can lead to acclimatization.The rat MS model can be assessed via behavioral experiments.

Objective To study the effect and duration of point-of-use filters on the improvement of endoscopic fi-nal rinse water quality.Methods The final rinse water end at the gastroscope manual cleaning workstation in the Endoscopy Centre of the First Affiliated Hospital with Nanjing Medical University was selected to install a tap ter-minal filter;five specimens of final rinse water were collected consecutively before the installation,immediately after the installation,and 1-11 weeks after the installation.At each sampling time,the staff responsible for clea-ning and disinfecting were asked whether the flow rate of discharged water could satisfy the working demand;the final rinse water was inoculated on R2A culture medium with membrane filter method,bacterial colony forming unit(CFU)was calculated after 30℃ incubation for 5 days.Results The qualified rates of endoscopic final rinse water before point-of-use filter installation was 0,immediately after and 1-9 weeks after installation were both 100％,10 and 11 weeks after installation were 80.0％and 20.0％,respectively.The mean CFU of endoscopic final rinse wa-ter before point-of-use filter installation was 102 CFU/100 mL,immediately after and 1-9 weeks after installation were both ≤2 CFU/100 mL,10 and 11 weeks after installation were 8 and 18 CFU/100 mL,respectively.The feedback from the cleaning and disinfection staff before installation,immediately after installation,and 1-11 weeks after installation indicated that the flow rate of discharged water gradually slowed down over time,but could still meet the work requirements.Conclusion The point-of-use filter can quickly and effectively improve the quality of endoscopic final rinse water,with use duration of up to 9 weeks after installation;Its biggest advantage is that it can serve as the final barrier to all integrated measures,playing a supplementary role in case of any problems occu-rring in the front-end process,and ensuring the microbial quality of the final rinse water to the greatest extent possible.

Plant-derived bioactive peptides have become a research hotspot in the fields of food and medicine due to their high source safety,easy absorption and utilization by the human body,and potential edible and medicinal value.Bioactive peptides can be classified into antihypertensive,hypoglycemic,hypolipidemic,anticancer,antioxidant,antimicrobial,and anti-inflammatory peptides according to their functions.Among these,antihypertensive,hypoglycemic,and hypolipidemic peptides are collectively referred to as cardiovascular active peptides,which can be used for the treatment and prevention of cardiovascular diseases and have an important role in the development of modem biomedicine.This review focused on the preparation methods,separation,purification,and identification techniques of bioactive peptides,as well as their mechanisms of action and applications in regulating cardiovascular diseases,aiming to provide a reference for further development and application of plant-derived cardiovascular peptides.

Objective To explore the clinical application value of multimodal radiomics in differentiating parotid pleomorphic adenoma(PA)from adenolymphoma(AL).Methods The clinical and imaging data of 68 cases of PA and 52 cases of AL were retrospectively analyzed.All patients underwent ultrasound examination,enhanced CT scan and enhanced MRI scan of the neck before the operation.All patients were randomly divided into training group(n=84)and validation group(n=36)according to the ratio of 7∶3.The 3D Slicer software was used to manually draw the lesion area of the preoperative images and perform radiomics feature extraction.The best feature subset was selected to establish the radiomics model,and the diagnostic efficacy of different models was evaluated by the receiver operating characteristic(ROC)curve.Results The study found that age,gender,and smoking history were effective in differentiating parotid PA from AL,and were used to construct a clinical diagnostic model.Eighteen features were selected through dimensionality reduction to establish the radiomics model.A multimodal combined diagnostic model was then constructed by integrating the radiomics model with gender,age,and smoking history.Compared to the clinical model and the radiomics model,the multimodal combined diagnostic model demonstrated the highest area under the curve(AUC)for distinguishing PA from AL in both the training group and the validation group.Conclusion The combination of radiomics based on neck ultrasound,CT,and MRI with clinical characteristics shows significant clinical application value in the preoperative differentiation of PA and AL.