This paper summarizes Professor WANG Xiuxia's clinical experience in treating hyperprolactinemia using the liver soothing therapy. Professor WANG identifies liver qi stagnation and rebellious chong qi （冲气） as the core pathomechanisms of hyperprolactinemia. Furthermore， liver qi stagnation may transform into fire or lead to pathological changes such as spleen deficiency with phlegm obstruction or kidney deficiency with essence depletion. The treatment strategy centers on soothing the liver， with a modified version of Qinggan Jieyu Decoction （清肝解郁汤） as the base formula. Depending on different syndrome patterns such as liver stagnation transforming into fire， liver stagnation with spleen deficiency， or liver stagnation with kidney deficiency， heat clearing， spleen strengthening， or kidney tonifying herbs are added accordingly. In addition， three paired herb combinations are commonly used for symptom specific treatment， Danggui （Angelica sinensis） with Chuanxiong （Ligusticum chuanxiong）， Zelan （Lycopus lucidus） with Yimucao （Leonurus japonicus） ， and Jiegeng （Platycodon grandiflorus） with Zisu （Perilla frutescens）.

Objective To explore the association of working hours and shift work with occupational stress, fatigue accumulation, and depressive symptoms among primary community medical workers. Methods A total of 516 medical workers from five community medical service centers in Pudong New Area, Shanghai City, were selected as the research subjects using the convenience sampling method. The Core Scale of Occupational Stress Measurement, the Workers' Fatigue Accumulation Self-diagnosis Questionnaire, and the Patient Health Questionnaire were used to assess research subjects' occupational stress, fatigue accumulation, and depressive symptoms, respectively. Results Long working hours (>40 hours/week) were reported by 50.4% of workers among the research subjects, while shift works were reported by 16.9% of the workers. The detection rates of occupational stress, fatigue accumulation, and depressive symptoms were 26.6%, 41.7%, and 30.8%, respectively. Multivariate logistic regression analysis result revealed that, after adjusting for confounders such as age, sex, and education level, longer working hours were associated with higher risks of occupational stress, fatigue accumulation, and depressive symptoms (all P<0.05). Shift workers in community medical centers had higher risks of occupational stress, fatigue accumulation, and depressive symptoms compared with non-shift workers (all P<0.05). Conclusion Long working hours and shift work could increase the risks of occupational stress, fatigue accumulation, and depressive symptoms among community medical workers.

The glucagon receptor (GCGR) is a critical target for the treatment of metabolic disorders such as Type 2 Diabetes Mellitus (T2DM) and obesity. Activation of GCGR enhances systemic insulin sensitivity through paracrine stimulation of insulin secretion, presenting a promising avenue for treatment. However, the discovery of effective GCGR agonists remains a challenging and resource-intensive process, often requiring time-consuming wet-lab experiments to synthesize and screen potential compounds. Recent advances in artificial intelligence technologies have demonstrated great potential in accelerating drug discovery by streamlining screening and efficiently predicting bioactivity. In the present work, we propose DeepGCGR, a two-layer deep learning model that leverages graph convolutional networks (GCN) integrated with a multiple attention mechanism to expedite the identification of GCGR agonists. In the first layer, the model predicts the bioactivity of various compounds against GCGR, efficiently filtering large chemical libraries to identify promising candidates. In the second layer, DeepGCGR classifies high bioactive compounds based on their functional effects on GCGR signaling, identifying those with potential agonistic or antagonistic effects. Moreover, DeepGCGR was specifically applied to identify novel GCGR-regulating compounds for the treatment of T2DM from natural products derived from traditional Chinese medicine (TCM). The proposed method will not only offer an effective strategy for discovering GCGR-targeting compounds with functional activation properties but also provide new insights into the development of T2DM therapeutics.
Deep Learning ; Drug Discovery/methods* ; Humans ; Diabetes Mellitus, Type 2/metabolism* ; Medicine, Chinese Traditional ; Drugs, Chinese Herbal/pharmacology*

Ferroptosis has received great attention as an iron-dependent programmed cell death for efficient cancer therapy. However, with the accumulation of iron in tumor cells, the antioxidant system is activated by reducing glutathione (GSH) with glutathione peroxidase 4 (GPX4), which critically limits the ferroptosis therapeutic effect. Herein, an iron and GPX4 silencing siRNA (siGPX4) co-encapsulated ferritin nanocage (HFn@Fe/siGPX4) was developed to enhance ferroptosis by disruption of redox homeostasis and inhibition of antioxidant enzyme synergistically. The siGPX4 were loaded into the nanocages by pre-incubated with iron, which could significantly improve the loading efficiency of the gene drugs when compared with the reported gene drug loading strategy by ferritin nanocages. And more iron was overloaded into the ferritin through the diffusion method. When HFn@Fe/siGPX4 was taken up by human breast cancer cell MCF-7 in a TfR1-mediated pathway, the excess iron ions in the drug delivery system could for one thing induce ferroptosis by the production of reactive oxygen species (ROS), for another promote siGPX4 escaping from the lysosome to exert gene silencing effect more effectively. Both the in vitro and in vivo results demonstrated that HFn@Fe/siGPX4 could significantly inhibit tumor growth by synergistical ferroptosis. Thus, the developed HFn@Fe/siGPX4 afforded a combined ferroptosis strategy for ferroptosis-based antitumor as well as a novel and efficient gene drug delivery system.

Objective To compare the effects of nalbuphine combined with etomidate and nalbuphine combined with propofol in painless colonoscopy for elderly patients with hypertension. Methods Elderly patients with hypertension who underwent painless colonoscopy in the Department of Anesthesiology of Affiliated Huaian No.1 People’s Hospital of Nanjing Medical University from August 2022 to February 2023 were selected and randomly divided into three groups: nalbuphine combined with etomidate group (E group), nalbuphine combined with propofol group (P group), and the nalbuphine combined with etomidate and propofol group (EP group). The primary endpoint was the incidence of hypotension during anesthesia. Secondary endpoints included mean arterial pressure (MAP), systolic blood pressure (SBP), diastolic blood pressure (DBP), and heart rate (HR) at five time points: before anesthesia (T₀), before colonoscopy (T₁), 5 minutes after colonoscopy (T₂), at the end of the examination (T₃), upon leaving the post-anesthesia care unit (PACU, T₄). Additionally, examination time, awakening time, Ramsay score, and adverse reactions were compared among the three groups. Results A total of 180 patients were included in the analysis, with 60 cases in each group. The incidence of hypotension was 11.7%, 55.0%, and 33.3% in the E group, P group, and EP group, respectively. The incidence of hypotension in the E group was lower than that in the P and EP groups (P＜0.05). At T₁, T₂, T₃, and T₄, MAP, SBP, and DBP in the E group were significantly higher than those in the P and EP groups (P＜0.05). There were no statistically significant differences among the three groups in awakening time, Ramsay score, or incidence of adverse reactions. Conclusions Compared with nalbuphine combined with propofol, nalbuphine combined with etomidate for painless colonoscopy in elderly patients with hypertension resulted in a lower incidence of hypotension, less impact on hemodynamics, and higher safety.

The volume of research funding in public hospitals is increasing year by year,with the majority of research funding being used to purchase research materials and services.Traditional offline procurement methods have problems such as inadequate management systems,difficulty in ensuring product quality,blind spots in procurement processes,and high risks in invoice receipt and storage.Public hospitals urgently need to adopt digital methods,introduce research procurement platforms,and implant key control points into the platform based on reshaping the procurement business process,achieve full process supervision and traceability control of research procurement business,and strengthen internal control and risk management of research

Frailty is a complex age-related clinical condition characterized by a decline in physiological capacity across several organ systems, with a resultant increased susceptibility to stressors.The relationship between frailty assessment and elderly patients’ safety during perioperative period has received widespread attention.This paper reviews research progress of frailty assessment in elderly patients during perioperative period in the department of urology.

Metabolic dysfunction-associated steatotic liver disease(MASLD)is the most prevalent chronic liver disease globally,encompassing the entire spectrum of fatty liver pathogenesis.It progresses from simple steatosis to metabolic-associated steatohepatitis(MASH),involving injury and inflammation,with or without fibrosis,ultimately leading to cirrhosis and hepatocellular carcinoma,which affects approximately a quarter of the world's population.Liver biopsy remains the gold standard for differentiating MASH from steatosis and assessing advanced fibrosis.However,its limitations,including costliness,invasiveness,and sampling bias,have spurred the development of noninvasive diagnostic techniques.In addition,there are no FDA-approved drugs for the treatment of MASLD.Enumerating noninvasive diagnostic markers that have the potential to replace liver biopsy were summarized,and the current treatment options for MASLD were discussed,with clinical trials designed to evaluate the efficacy and safety of single agents or combination therapies to halt or reverse disease progression,which could provide new insights for the clinical diagnosis and treatment of MASLD.

Objective To explore the value of blood inflammatory load in predicting overall survival of elderly patients with epithelial ovarian cancer(EOC).Methods Elderly patients with EOC were selected,and their clinical data and peripheral blood parameters were collected.We constructed an inflammation-related blood scoring system using univariate and multivariate Cox regression analysis.The Kaplan-Meier method was used for survival analysis.We used Cox proportional hazards analysis to identify the independent prognostic factors.A nomogram model was constructed based on independent prognostic factors,and the receiver operating characteristic curve,C-index,and calibration curve were used to evaluate the model.Results Patients with high blood inflammatory load had worse prognosis(P=0.002).Compared with the low inflammatory load group,patients with high inflammatory load had later clinical stages and larger ascites volume(P<0.05).Cox regression analysis showed that ACCI,CA125,residual lesions,and blood score were independent factors affecting overall survival(P<0.05).Conclusion The blood inflammatory load is the biomarker for the prognosis of elderly patients with EOC.Scoring the inflammatory load in the blood can assist in efficacy monitoring and treatment intervention of ovarian cancer patients.