Ovarian cancer （OC） is one of the most common malignant tumors in women， with the mortality rate being the highest among gynaecological malignant tumors. As the atypical symptoms of OC are difficult to be detected in the early stage， most patients are already in the advanced stage when being diagnosed. As a result， the clinical treatment has limited effects. Currently， the main therapies for OC are surgery and chemotherapy， while their drug resistance and adverse reactions seriously reduce the quality of life of patients. In recent years， traditional Chinese medicine （TCM） has attracted the attention of clinicians and researchers because of its high efficacy， low toxicity， and mild side effects. According to the TCM philosophy of treatment based on syndrome differentiation， the Chinese medicines with multiple targets， wide range， and mild side effects can be screened based on the molecular targets involved in the occurrence and development of OC， which can bring out the unique advantages of TCM in the treatment of OC. Modern studies have shown that the occurrence and development of OC are closely related to the abnormal expression of multiple signaling pathways. The continued abnormal activation of the signal transducer and activator of transcription 3 （STAT3） signaling pathway can lead to abnormal proliferation and malignancy of OC. cause abnormal proliferation and malignant transformation of OC， which is closely related to the development of OC. In addition， studies have shown that Chinese medicine can inhibit the proliferation， angiogenesis， invasion， and metastasis and promote the autophagy and apoptosis of OC cells by regulating the Janus kinase 2 （JAK2）/STAT3 signaling pathway， providing new therapeutic strategies and ideas for the prevention and treatment of OC. This paper summarizes the role of JAK2/STAT3 signaling pathway in OC development by reviewing the relevant articles and reviews the mechanism and research progress of active components and compound prescriptions of Chinese medicine intervening in OC development by regulating the JAK2/STAT3 signaling pathway. This review is expected to provide a systematic reference for clinical research and drug development of OC.

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*

Traditional Chinese medicine (TCM) serves as a treasure trove of ancient knowledge, holding a crucial position in the medical field. However, the exploration of TCM's extensive information has been hindered by challenges related to data standardization, completeness, and accuracy, primarily due to the decentralized distribution of TCM resources. To address these issues, we developed a platform for TCM knowledge discovery (TCMKD, https://cbcb.cdutcm.edu.cn/TCMKD/). Seven types of data, including syndromes, formulas, Chinese patent drugs (CPDs), Chinese medicinal materials (CMMs), ingredients, targets, and diseases, were manually proofread and consolidated within TCMKD. To strengthen the integration of TCM with modern medicine, TCMKD employs analytical methods such as TCM data mining, enrichment analysis, and network localization and separation. These tools help elucidate the molecular-level commonalities between TCM and contemporary scientific insights. In addition to its analytical capabilities, a quick question and answer (Q&A) system is also embedded within TCMKD to query the database efficiently, thereby improving the interactivity of the platform. The platform also provides a TCM text annotation tool, offering a simple and efficient method for TCM text mining. Overall, TCMKD not only has the potential to become a pivotal repository for TCM, delving into the pharmacological foundations of TCM treatments, but its flexible embedded tools and algorithms can also be applied to the study of other traditional medical systems, extending beyond just TCM.

ObjectiveTo develop a scientifically rigorous and contextually appropriate instrument for evaluating the health service experience of pulmonary tuberculosis patients in China, to enable systematic assessment of core medical care dimensions, and to provide quantitative evidence for service improvement. MethodsGrounded in the theoretical framework of healthcare accessibility and the clinical care pathway for tuberculosis patients, the tool was developed through a systematic literature review and the Delphi expert consultation method. A multi-stage cluster sampling strategy was employed to survey pulmonary tuberculosis patients who had been receiving treatment for more than two months, aimed to explore the scale’s applicability in real-world settings. Reliability was assessed using Cronbach’s α and split-half reliability coefficients. Validity was evaluated through content validity, structural validity, convergent validity, and discriminant validity. ResultsThe tool was composed of 21 items across four dimensions: awareness, accessibility, affordability, and acceptability of tuberculosis medical care. It demonstrated a Cronbach’s α coefficient of 0.838 and a split-half reliability coefficient of 0.859. Exploratory factor analyses extracted six factors: satisfaction with healthcare services, supportive role of nurses, affordability of treatment costs, doctor-patient communication, waiting time for medical appointments, and transportation cost. The goodness-of-fit index (GFI) and other indices met the recommended standards, with the loading matrix indicating robust structural validity of the tool. The constructed factor model exhibited satisfactory content validity and discriminant validity. ConclusionThe scale for assessing patients’ experiences with tuberculosis-related medical care developed in this study demonstrates good reliability and validity and serves as a practical tool for evaluating patient experiences of tuberculosis medical care in China.

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.

Objective : To investigate the effects of cinnamaldehyde(CA) on the growth, metastasis and apoptosis of human endometriosis(EMs) cells and to explore whether the mechanism is related to ribosomal protein S7(RPS7) expression. Methods : Endometriosis cells were divided into control group, CA group, sh-NC group, CA+sh-RPS7 group. Effects of CA on cell growth in human endometriotic cells were determined using Cell Counting Kit-8(CCK-8) and colony formation assay. Effects of CA on cell metastasis were performed by motility assay and Transwell assay. Effects of CA on cell apoptosis were evaluated by Hoechst 33258 staining and flow cytometry. Meanwhile, the levels of PCNA, E-cadherin, Vimentin, Bax and Bcl-2 were evaluated using Western blot in human endometriotic cells with treatment CA. The expression of RPS7 was detected by qRT-PCR and Western blot assay. The RPS7 overexpression of human endometriotic cells was established by cell transfection. CA-mediated effects on cell proliferation and apoptosis were determined by CCK-8 assay and flow cytometry in human endometriotic cells with RPS7 overexpression. Results : CA repressed cell growth as well as down-regulated PCNA. The half inhibitory concentration(IC50) value was 53.60 μmol/L after 24 h treatment, and colony formation rate was 25.32%. Additionally, CA inhibited metastasis which was associated with downregulated Vimentin and upregulated E-cadherin. The relative migration rates were 35% and 29% as well as invasion rate was 40%. Further, CA induced apoptosis by cell cycle G2/M phase arrest and cell apoptosis rate was 25.1%, which related to the up-regulation of of Bax and the down-regulation of Bcl-2. CA inhibited the expression of RPS7 and overexpression of RPS7 promoted cell proliferation and suppressed apoptosis in CA-mediated cells. Conclusion CA inhibits cell growth, metastasis, and induces cell apoptosis by downregulating the expression of RPS7.

Myocardial fibrosis （MF） is a prevalent pathological process in a spectrum of cardiac conditions， including myocardial infarction， hypertensive heart disease， and dilated cardiomyopathy. It is marked by an overabundance of extracellular matrix deposition， diminished myocardial compliance， and impaired cardiac function， which can lead to arrhythmias and sudden cardiac death. The current therapeutic approach primarily aims to suppress the progression of fibrosis， yet the therapeutic outcomes are poor. The pathogenesis of MF involves multiple signaling pathways， including the transforming growth factor-beta （TGF-β）/Smads signaling pathway， nuclear factor-kappa B （NF-κB） signaling pathway， phosphoinositide 3-kinase （PI3K）/protein kinase B （Akt） signaling pathway， and mitogen-activated protein kinase （MAPK） signaling pathway. Traditional Chinese medicine （TCM） boasts a rich history in the treatment of cardiovascular diseases， offering distinctive benefits such as minimal side effects and high safety， and it has demonstrated promising therapeutic effects in the treatment of MF. In recent years， research has turned its attention to the application of TCM in modulating the signaling pathways associated with MF. It has been demonstrated that TCM can modulate the MF-related signaling pathways to exert anti-inflammatory effects， regulate cellular autophagy， cell proliferation， and apoptosis， reduce myocardial oxidative stress and damage， and inhibit the activation of fibroblasts and collagen synthesis， thereby exhibiting the potential to mitigate or even reverse the progression of MF. Experimental research and clinical observations indicate that TCM formulas such as Yixin Futing decoction， Luhong prescription， Zhilong Huoxue Tongyu capsules， and Kangjian Yixin prescription can effectively ameliorate MF and enhance cardiac function through the multi-component regulation of multiple cellular pathways. Specific TCM constituents， including isoliquiritigenin and astragaloside， have been shown to inhibit the expression of TGF-β₁， thereby disrupting the Smad signaling pathway. Compounds like glycyrrhizic acid and allicin can suppress the NF-κB signaling pathway and curtail collagen synthesis in myocardial cells， and forsythoside can activate the PI3K/Akt signaling pathway， contributing to its anti-fibrotic effects.

Objective To investigate the prevalence of tick-borne rickettsial infections in selected areas of Liupanshui City, Guizhou Province, 2023, so as to provide insights into the management of tick-borne rickettsioses in the city. Methods Ticks were captured from the body surface of bovines and sheep in Gaoxing Village, Dashan Township, Liupanshui City, Guizhou Province during the period between April and June, 2023, and tick species were identified using morphological and molecular biological techniques. In addition, tick-borne Rickettsia was identified using a nested PCR assay, including spotted fever group rickettsiae (SFGR), Coxiella spp., Anaplasma spp., Ehrlichia spp., and Orientia spp., and positive amplified fragments were sequenced and aligned with known sequences accessed in the GenBank database. Results A total of 200 ticks were collected and all tick species were identified as Rhipicephalus microplus. Nestle PCR assay combined with sequencing identified ticks carrying Candidatus Rickettsia jingxinensis (40.50%), Coxiella burnetii (1.50%), and Coxiella-like endosymbionts (27.00%), and Anaplasma spp., Ehrlichia spp. or Orientsia spp. was not detected. Conclusions R. microplus carried Candidatus R. jingxinensis, C. burnetii, and Coxiella-like endosymbionts in selected areas of Liupanshui City, Guizhou Province. Intensified monitoring of tickborne rickettsial infections is needed in livestock and humans to reduce the damages caused by rickettsioses.