The oocyte， as the origin of life， provides half the chromosomes to the embryo and supplies the proteins， substrates， energy， and other support necessary for embryonic development. It is the decisive factor determining the embryo's developmental potential. Infertility caused by reproductive endocrine diseases targets the oocyte as the final target cell. Improving oocyte quality represents a key and difficult point in the field of modern reproductive medicine. The decline of oocyte quality is related to meiosis abnormalities， DNA damage， mitochondrial dysfunction， oxidative stress， and other mechanisms. For oocyte quality problems， there is no unified international guideline to recommend drugs. Because the drug intervention research on oocytes involves strict clinical ethical restrictions， the current relevant research only stays in the animal and in vitro experimental stage and has not yet been applied to the clinic. Traditional Chinese medicine compound formula has a multi-target and multi-pathway regulation mechanism and is widely used in clinics. More and more research began to pay attention to the potential mechanism of traditional Chinese medicine compound formulas in improving oocyte quality. Traditional Chinese medicine compound formula has the advantages of multi-target and multi-channel synergy as well as better safety， individualization， and conformity to clinical ethics in improving oocyte quality. This article systematically reviewed the research progress on traditional Chinese medicine compound formula interventions for oocyte quality， aiming to summarize existing findings and provide recommendations to improve oocyte quality and optimize the clinical diagnosis and treatment of female infertility within traditional Chinese medicine.

The oocyte， as the origin of life， provides half the chromosomes to the embryo and supplies the proteins， substrates， energy， and other support necessary for embryonic development. It is the decisive factor determining the embryo's developmental potential. Infertility caused by reproductive endocrine diseases targets the oocyte as the final target cell. Improving oocyte quality represents a key and difficult point in the field of modern reproductive medicine. The decline of oocyte quality is related to meiosis abnormalities， DNA damage， mitochondrial dysfunction， oxidative stress， and other mechanisms. For oocyte quality problems， there is no unified international guideline to recommend drugs. Because the drug intervention research on oocytes involves strict clinical ethical restrictions， the current relevant research only stays in the animal and in vitro experimental stage and has not yet been applied to the clinic. Traditional Chinese medicine compound formula has a multi-target and multi-pathway regulation mechanism and is widely used in clinics. More and more research began to pay attention to the potential mechanism of traditional Chinese medicine compound formulas in improving oocyte quality. Traditional Chinese medicine compound formula has the advantages of multi-target and multi-channel synergy as well as better safety， individualization， and conformity to clinical ethics in improving oocyte quality. This article systematically reviewed the research progress on traditional Chinese medicine compound formula interventions for oocyte quality， aiming to summarize existing findings and provide recommendations to improve oocyte quality and optimize the clinical diagnosis and treatment of female infertility within traditional Chinese medicine.

To investigate the protective effects and underlying mechanisms of Qin-Zhu-Liang-Xue decoction (QZLX) in atopic dermatitis (AD) and glucocorticoid resistance, we conducted a single-blinded, randomized controlled clinical trial to evaluate the efficacy and safety of this concoction. Network pharmacology analysis was performed and validated through clinical studies. The efficacy, safety, and mechanism of action of QZLX and glucocorticoid receptor (GR) α recombinant protein were assessed in AD mice induced by 2,4-dinitrofluorobenzene (DNFB). Correlation analysis was performed to determine the clinical relevance of GRα. The trial demonstrated that patients who received QZLX showed considerable improvements in their Scoring Atopic Dermatitis (SCORAD) and Dermatology Life Quality Index (DLQI) scores compared with those who received mizolastine at week 4. Network pharmacological analysis identified GRα as a key target for QZLX in AD treatment. QZLX administration increased the serum GRα expression in AD patients, alleviated AD symptoms in mice, decreased inflammatory cytokine expression, and increased GRα expression without affecting liver or kidney function. In addition, GRα recombinant protein improved AD-like skin lesions in DNFB-induced mice. A negative correlation was observed between GRα expression and clinical parameters, including SCORAD, DLQI, and serum IgE levels. QZLX alleviates AD symptoms through the upregulation of GRα and thus presents a novel therapeutic strategy for the prevention of glucocorticoid resistance in AD management.
Dermatitis, Atopic/drug therapy* ; Animals ; Drugs, Chinese Herbal/administration & dosage* ; Humans ; Mice ; Network Pharmacology ; Male ; Female ; Adult ; Receptors, Glucocorticoid/metabolism* ; Disease Models, Animal ; Single-Blind Method ; Middle Aged ; Young Adult

Objective To preliminarily explore the potential efficacy of Xuesaitong Soft Capsule(XST)against post-stroke depression(PSD),and to investigate the material basis of XST's anti-PSD effect based on the metabolomics results to analyze its related pharmacokinetic(PK)characteristics and further analyze the pharmacodynamic(PD)equation of representative ingredients.Methods The initial evaluation of drug effica-cy was conducted by detecting the depressive-like behavior and neurotransmitter levels in rats.The Pearson correlation analysis was employed to analyze the correlation between the main metabolites regulated by XST and the saponin components entering the bloodstream.At various time points after drug administration,the blood concentration of ginsenoside Re and the concentration of norepinephrine(NE)in the serum of PSD rats were measured,and the compartment model was fitted accordingly.Furthermore,the liquid chromatography-mass spectrometry was utilized to determine the content of ginsenoside Re in the liver,spleen,kidney,prefron-tal cortex,hippocampus and striatum of PSD rats.Results Ginsenoside Re showed the optimal correlation by the Pearson correlation analysis.Based on its pharmacokinetic parameters,the pharmacodynamic equation with NE was E=160.462 × Ce/(38.663+Ce).The contents of ginsenoside Re in the liver,spleen,kidney,prefron-tal cortex,hippocampus and striatum of rats were(17.23+11.90),(19.05+5.67),(1.95+0.79),(70.13+6.75),(57.03+3.11),and(72.45+5.45)ng/g,respectively.Conclusion XST could improve the depressive-like behaviors in PSD rats by regulating the expression levels of neurotransmitter NE and 5-HT.Ginsenoside Re may be the pharmacodynamical material foundation for XST's preventative treatment of PSD.

Antibody-drug conjugates(ADCs)represent a major breakthrough in the treatment of human epidermal growth factor receptor-2(HER-2)-positive breast cancer as they are responsible for significantly improving clinical outcomes.However,their widespread use is accom-panied by severe adverse effects that not only impact the quality of life of patients and treatment adherence but also life-threatening,ulti-mately leading to treatment discontinuation.This article systematically reviews the underlying mechanisms and management strategies for ADC-related toxicities in HER-2-positive breast cancer.Additionally,it focuses on key adverse events,including thrombocytopenia,interstitial lung disease,and cardiotoxicity,that are induced by ADCs such as trastuzumab emtansine(T-DM1)and trastuzumab deruxtecan(T-DXd).Based on the clinical evidence,we proposed early monitoring and standardized intervention measures,emphasizing the importance of timely recognition and systematic management to mitigate risks.Furthermore,we explored future directions for optimizing ADC design to reduce their toxicity and provide valuable insights into their safe clinical application.

Objectives:To explore the correlation between preoperative frailty and postoperative pulmonary complications in elderly patients undergoing cardiac surgery,and to provide a scientific basis for the comprehensive perioperative management of these patients.Methods:In this prospective cohort study,elderly patients(≥60 years old)who were scheduled to undergo coronary artery bypass grafting(CABG)and/or heart valve surgery at Fuwai Hospital,Chinese Academy of Medical Sciences from December 2022 to December 2023 were consecutively enrolled.Patients were divided into the postoperative pulmonary complication group and the non-postoperative pulmonary complication group based on whether they developed postoperative pulmonary complications.Demographic data,preoperative frailty status,physical function indicators(6-meter walking speed,pulmonary function),laboratory test indicators,and surgical data of the two groups were collected and compared.Multivariate logistic regression analysis was used to evaluate the correlation between preoperative frailty and postoperative pulmonary complications in these patients.Results:A total of 522 patients were included in the study,66(12.6%)had preoperative frailty.There were 159 cases(30.5%)in the postoperative pulmonary complication group and 363 cases(69.5%)in the non-postoperative pulmonary complication group.Compared with the non-postoperative pulmonary complication group,the postoperative pulmonary complication group had a higher prevalence of preoperative frailty,cerebral infarction,and pulmonary hypertension,lower maximal inspiratory pressure,slower 6-meter walking speed,a higher proportion of patients undergoing heart valve surgery and CABG+heart valve surgery,and significantly longer mechanical ventilation time,intensive care unit stay,and postoperative hospital stay(all P<0.05).Multivariate logistic regression analysis showed that preoperative frailty(OR=1.998,95%CI:1.005-3.973,P=0.048),maximal inspiratory pressure(OR=0.987,95%CI:0.977-0.997,P=0.011),6-meter walking speed(OR=0.003,95%CI:0.001-0.017,P<0.001),mechanical ventilation time(OR=2.295,95%CI:1.601-3.290,P<0.001),and CABG+heart valve surgery(OR=1.772,95%CI:1.294-2.428,P<0.001)were independent risk factors of postoperative pulmonary complications in elderly patients undergoing cardiac surgery.Conclusions:Preoperative frailty increases the risk of postoperative pulmonary complications in elderly patients undergoing cardiac surgery.

Objective:To assess the effects of recognition function of four-lead electrocardiogram(ECG)synchronization technique and multi-parameter fusion technique in reducing the number of false alarms and improving the quality of alarms in intensive care units(ICU).Methods:Four-lead ECG synchronization technique and multi-parameter fusion technique were used to strengthen the monitoring and assessment for the alarm of clinical monitors,and reduce the false alarm rate of monitors.The clinical alarm data of bed units corresponding to 48 monitors in clinical use of ICU,cardiovascular intensive care unit(CCU)and neurosurgery intensive care unit(NICU)of Hainan General Hospital from October 14 to December 27,2024 were selected.According to the opening and close of the four-lead ECG synchronization and multi-parameter fusion technique algorithm of the monitors,they were divided into group A(opened four-lead ECG synchronization and multi-parameter fusion),group B(opened four-lead ECG synchronization,but closed multi-parameter fusion),group C(closed four-lead ECG synchronization,but opened multi-parameter fusion)and group D(closed four-lead ECG synchronization and multi-parameter fusion),with 12 units in each group.The numbers of total alarms and false alarms generated by monitor of each bed unit among different optimization strategies were compared.Results:The numbers of average daily alarm of the monitors in groups A,B and C were respectively(134.2±32.4)cases,(392.5±68.2)cases and(583.4±126.5)cases,which were lower than those in group D(1 073.2±168.6),with statistically significant differences(Z=3.45,2.94,2.52,P<0.05).The optimization rates of the alarm numbers in groups A,B and C were increased by 87.51%,63.47%and 45.67%,respectively.The rates of average false alarm of the monitors in groups A,B and C were respectively(1.04±0.15)%,(1.73±0.12)%and(2.07±0.08)%,which were lower than(3.76±0.2)%in group D,with statistically significant differences(Z=3.45,2.94,2.52,P<0.05).Conclusion:Four-lead ECG synchronization technique and multi-parameter fusion technique can effectively optimize the number of alarms in ICU,and reduce the proportion of false alarms of monitors in department,and decrease fatigue of medical staffs for alarm.

Objective:To construct and validate a predictive model for pathological complete response (pCR) in patients with locally advanced rectal cancer (LARC) after neoadjuvant chemoradiotherapy.Methods:This retrospective observational study included 595 patients with stage T2-4 and (or) N+M0 LARC diagnosed in the Cancer Hospital of Chinese Academy of Medical Sciences and the Fourth Hospital of Hebei Medical University who had no metastases, tolerated neoadjuvant therapy, completed neoadjuvant therapy, and had undergone radical surgery after neoadjuvant therapy. The training set comprised 299 patients admitted to the Cancer Hospital of Chinese Academy of Medical Sciences from 2013 to 2018, the internal validation set 155 patients admitted from 2019 to 2023, and the external validation set 141 patients admitted to the Fourth Hospital of Hebei Medical University from 2013 to 2021. They were divided into pCR group and non-pCR groups according to postoperative pathology. Among the 299 patients in the training set, 247 were in the non-PCR and 52 in the pCR group; among the 155 patients verified internally, 113 were in the non-PCR and 42 in the pCR group; and among the 141 patients validated externally, 132 were in the non-pCR and nine in the pCR group. Logistic regression was used for univariate and multifactorial analysis to explore the factors associated with pCR and construct a nomogram prediction model. Receiver operating characteristic curves, calibration curves, and decision curve analysis (DCA) were used to validate the performance of the predictive model.Results:Univariate and multivariate logistic regression analysis showed that carbohydrate antigen 19-9 ( P=0.040, OR=0.97, 95%CI: 0.93-0.99), neutrophil count ( P<0.001, OR=0.66, 95%CI: 0.52-0.84), tumor T stage: Stage IV ( P=0.011, OR=0.22, 95%CI: 0.07-0.70), tumor N stage: Stage I ( P=0.003, OR=0.22,95%CI:0.08-0.60), Stage II ( P<0.001, OR=0.03, 95%CI: 0.01-0.09) and involvement of mesorectal fascia ( P=0.004, OR=0.09, 95%CI: 0.02-0.47) were independent predictors of pCR. In the training set, the area under the receiver operating characteristic curve of the model was 0.92 (95%CI: 0.87-0.96), whereas in the internal and external validation sets, the AUCs were 0.78 and 0.81, respectively. The calibration curve showed that the prediction model had good prediction efficiency in both the training and verification sets. Decision curve analysis showed that the net benefit of the model was largest when the threshold probability was in the range of 5.2% to 89.7% (in the internal and external validation sets, the threshold probabilities were in the range of 15.7% to 92.3% and 2.2% to 84.1%, respectively). Conclusion:The nomogram model constructed in this study showed efficacy in predicting whether patients with LARC will achieve pCR after receiving neoadjuvant chemoradiotherapy.

Objective:To explore the safety and efficacy of laparoscopic-assisted radical surgery in the treatment of metachronous multiple primary colorectal cancer (MCC).Methods:A retrospective analysis was conducted on 27 MCC patients undergoing laparoscopic-assisted radical surgery (laparoscopic group) and 36 MCC patients undergoing open radical surgery (open group) from Jan 2012 to Jan 2022 at the Department of Colorectal Surgery, Cancer Hospital, Chinese Academy of Medical Sciences.Results:The laparoscopic group was superior to the open group in terms of intraoperative blood loss [(53.7±111.5) ml vs. (132.5±154.9) ml, t=-2.241, P=0.029], time to first postoperative flatus [(2.2±0.7) days vs. (3.5±0.6) days, t=-7.752, P<0.001], time to first postoperative defecation [(2.9±0.6) days vs. (4.3±0.6) days, t=-8.841, P<0.001], and postoperative hospital stay [(7.2±2.4) days vs. (10.6±3.5) days, t=-4.518, P<0.001]. There were no significant differences between the two groups in terms of operation time, number of lymph nodes dissected, positive rate of specimen margin, resection rate of previous colorectal cancer anastomotic stoma, and incidence of postoperative complications (all P>0.05). Conclusion:Laparoscopic surgery is a safe and minimally invasive alternative to open surgery for MCC patients.

Objective:To construct and validate a predictive model for pathological complete response (pCR) in patients with locally advanced rectal cancer (LARC) after neoadjuvant chemoradiotherapy.Methods:This retrospective observational study included 595 patients with stage T2-4 and (or) N+M0 LARC diagnosed in the Cancer Hospital of Chinese Academy of Medical Sciences and the Fourth Hospital of Hebei Medical University who had no metastases, tolerated neoadjuvant therapy, completed neoadjuvant therapy, and had undergone radical surgery after neoadjuvant therapy. The training set comprised 299 patients admitted to the Cancer Hospital of Chinese Academy of Medical Sciences from 2013 to 2018, the internal validation set 155 patients admitted from 2019 to 2023, and the external validation set 141 patients admitted to the Fourth Hospital of Hebei Medical University from 2013 to 2021. They were divided into pCR group and non-pCR groups according to postoperative pathology. Among the 299 patients in the training set, 247 were in the non-PCR and 52 in the pCR group; among the 155 patients verified internally, 113 were in the non-PCR and 42 in the pCR group; and among the 141 patients validated externally, 132 were in the non-pCR and nine in the pCR group. Logistic regression was used for univariate and multifactorial analysis to explore the factors associated with pCR and construct a nomogram prediction model. Receiver operating characteristic curves, calibration curves, and decision curve analysis (DCA) were used to validate the performance of the predictive model.Results:Univariate and multivariate logistic regression analysis showed that carbohydrate antigen 19-9 ( P=0.040, OR=0.97, 95%CI: 0.93-0.99), neutrophil count ( P<0.001, OR=0.66, 95%CI: 0.52-0.84), tumor T stage: Stage IV ( P=0.011, OR=0.22, 95%CI: 0.07-0.70), tumor N stage: Stage I ( P=0.003, OR=0.22,95%CI:0.08-0.60), Stage II ( P<0.001, OR=0.03, 95%CI: 0.01-0.09) and involvement of mesorectal fascia ( P=0.004, OR=0.09, 95%CI: 0.02-0.47) were independent predictors of pCR. In the training set, the area under the receiver operating characteristic curve of the model was 0.92 (95%CI: 0.87-0.96), whereas in the internal and external validation sets, the AUCs were 0.78 and 0.81, respectively. The calibration curve showed that the prediction model had good prediction efficiency in both the training and verification sets. Decision curve analysis showed that the net benefit of the model was largest when the threshold probability was in the range of 5.2% to 89.7% (in the internal and external validation sets, the threshold probabilities were in the range of 15.7% to 92.3% and 2.2% to 84.1%, respectively). Conclusion:The nomogram model constructed in this study showed efficacy in predicting whether patients with LARC will achieve pCR after receiving neoadjuvant chemoradiotherapy.