Dabuyuanjian is one of the classic famous formulas in the Catalog of Ancient Classic Famous Formulas （Second Batch）-Medicine of Han Ethnic Group. It consists of Ginseng Radix et Rhizoma， Dioscoreae Rhizoma， Rehmanniae Radix Praeparata， Eucommiae Cortex， Angelicae Sinensis Radix， Corni Fructus， Lycii Fructus， and Glycyrrhizae Radix et Rhizoma Praeparata cum Melle， and is used to treat the symptoms of men and women who have a great loss of Qi and blood and a critical and dramatic loss of spiritual guardianship. This study reviewed the ancient and modern literature， and used literature tracing and bibliometrics methods to mine the key information of the historical origin， formula name， drug composition， compatibility， drug dosage， original plants and processing of drugs， decocting method， and clinical application of Dabuyuanjian. The results showed that Dabuyuanjian was first recorded in the Jing Yue's Collected Works （Jing Yue Quan Shu）， with the dosage mainly following the original formula. According to the dosage in the Ming and Qing dynasties， the formula is composed of 5.60 g （for mild cases）/39.17 g （for severe cases） Ginseng Radix et Rhizoma， 7.46 g Dioscoreae Rhizoma， 9.32 g （for mild cases）/ 93.25 g （for severe cases） Rehmanniae Radix Praeparata， 7.46 g Eucommiae Cortex， 9.32 g Angelicae Sinensis Radix， 3.73 g Corni Fructus， 9.32 g Lycii Fructus， and 5.60 g Glycyrrhizae Radix et Rhizoma Praeparata cum Melle. Regarding the original plants of drugs， Ginseng Radix et Rhizoma is produced from the dried roots and rhizomes of Panax ginseng， Dioscoreae Rhizoma from stir-fried dried rhizomes of Dioscorea opposita， Rehmanniae Radix Praeparata from steamed dried roots of Rehmannia glutinosa， Eucommiae Cortex from the dried bark of Eucommia ulmoides， Angelicae Sinensis Radix from the dried roots of Angelica sinensis， Corni Fructus from the dried mature fruit flesh of Cornus officinalis， Lycii Fructus from the dried mature fruits of Lycium barbarum， and Glycyrrhizae Radix et Rhizoma Praeparata cum Melle from the honey-processed dried roots and rhizomes of Glycyrrhiza uralensis. These medicinal materials are decocted in 400 mL water to reach a volume of 140 mL， and the decoction should be taken 1 h after meals， 2-3 doses per day. Dabuyuanjian has a wide range of clinical applications， including gynecological and obstetrical diseases， deficiency， baffling and panic， consumptive thirst， and blood， ear， nose， and throat diseases. In modern clinical practice， it is mainly used for diseases of the nervous system， gynecology， urinary system， cardiovascular system， digestive system， musculoskeletal system， connective tissue， immune system， blood， and men. Through the review of ancient and modern literature， this study sorted out the historical evolution and mined the key information of Dabuyuanjian， aiming to provide a theoretical reference for safe and effective clinical application and subsequent research and development of this formula.

ObjectiveTo address the key challenges in breast electrical impedance tomography (EIT) reconstruction including the severe ill‑posedness of the inverse problem, limited measurement information from the electrodes, low contrast of small lesions, as well as the common drawbacks of traditional reconstruction methods such as boundary blurring, low spatial resolution, and weak small-target detection capability, and to overcome the limitations of existing deep learning approaches namely low training efficiency, insufficient physical consistency, and substantial information loss during the low‑to‑high dimensional mapping process, this study proposes a multi‑scale attention and dynamic sparse mask fusion network (MADS‑Net). The proposed method aims to enhance high‑resolution reconstruction accuracy, small-lesion detectability, noise robustness, and computational efficiency in breast‑screening-oriented EIT, thereby providing a feasible solution for the application of EIT in breast functional imaging. MethodsThe proposed network adopts a strategy of “locate first, reconstruct later”. It realizes adaptive allocation of computational resources through a dynamic mask module, alleviates information loss in the low-to-high dimensional mapping process via a multi-scale attention mechanism, and embeds physical constraints to improve the physical rationality of reconstruction results. The performance of the proposed method was validated through systematic numerical simulations, agar phantom experiments, and porcine tissue experiments. Comparisons were made with mainstream methods including the Gauss-Newton algorithm, convolutional neural networks, U-Net, and Deep D-Bar. The image correlation coefficient (ICC), root mean square error (RMSE), and peak signal-to-noise ratio (PSNR) were adopted as quantitative evaluation metrics. Furthermore, lesion‑level evaluation metrics were introduced to assess the capability of different methods in reconstructing abnormal target boundaries and small‑sized target regions. ResultsExperimental results demonstrate that MADS-Net outperforms all comparison methods across all test scenarios. In numerical simulations, it achieves higher accuracy in target morphology and spatial location recovery as well as better background suppression. In agar phantom experiments, its detection and imaging reliability for small targets is significantly superior to the comparison methods. In porcine tissue experiments, the model maintains good generalization performance and can adapt to complex biological tissue imaging scenarios. Quantitative results show that MADS-Net achieves an average ICC of 0.917 6±0.048 8, an RMSE as low as0.060 6±0.031 6, and a PSNR of (23.893 9±2.685 3) dB. It successfully detects tiny targets as small as 5 mm within a 100 mm diameter sensing field, reduces the total training duration by 23.5% compared with the baseline method, and maintains stable reconstruction performance even under strong noise interference. ConclusionThe results demonstrate that MADS-Net achieves favorable EIT reconstruction performance in numerical simulations, agar phantom experiments, and porcine tissue experiments, even under common practical imaging challenges including low signal-to-noise ratio and blurred tissue boundaries. This study provides a methodological reference for further research on EIT in breast-screening-related scenarios and other medical functional imaging tasks, and also offers a low-cost, radiation-free alternative for breast lesion screening that aligns with the clinical demand for non-invasive diagnostic tools. It should be noted that real clinical breast data have not yet been used for validation in this study, and the clinical applicability of the proposed method requires further investigation. Future work will prioritize collecting multi-center real clinical breast datasets, and further optimize the model’s generalization ability to adapt to individual differences in breast tissue composition to promote its clinical application.

Objective: To investigate the occurrence of adverse events following immunization (AEFI) with meningococcus-containing vaccine (MCV) in Jiaxing City, Zhejiang Province from 2020 to 2024, so as to provide the evidence for MCV safety monitoring and evaluation. Methods : AEFI surveillance data following MCV vaccination were collected through the Immunization Program Information Management System of the China Disease Prevention and Control Information System, and MCV vaccination data were collected through the Zhejiang Provincial Immunization Program Smart Service Information System. Descriptive analyses were performed to examine the demographic distribution, temporal distribution, and regional distribution of AEFI cases, as well as the doses of MCV administered, the interval between vaccination and AEFI onset, clinical symptoms of AEFI, and outcomes. Results: From 2020 to 2024, a total of 263 AEFI cases were reported in Jiaxing City, with an average annual reported incidence of 27.73/105 doses, showing an increasing trend (P<0.05). Common adverse reactions predominated, accounting for 230 cases (87.45%), with the reported incidence of 24.25/105 doses. Among AEFI cases, 139 (52.85%) were males and 124 (47.15%) were females. The majority of cases were aged <2 years, accounting for 156 cases (59.32%). The number of reported AEFI cases was relatively high in the second and third quarters, with 75 and 77 cases, accounting for 28.52% and 29.28%, respectively, and reported incidence of 29.48/105 doses and 29.71/105 doses, respectively. Haiyan County and Pinghu City reported relatively higher numbers of cases, with 44 cases each, accounting for 16.73% each, and reported relatively higher AEFI incidence of 58.91/105 doses and 40.46/105 doses, respectively. Following the 1st, 2nd, 3rd, and 4th doses of MCV, 136, 111, 14, and 2 AEFI cases were reported, accounting for 51.71%, 42.21%, 5.32%, and 0.76%, respectively, with reported incidence of 30.63/105 doses, 23.24/105 doses, 55.59/105 doses, and 120.63/105 doses, respectively. A total of 198 AEFI cases (75.29%) were reported within 1 day after MCV vaccination. Among common adverse reaction cases, the predominant clinical symptoms were fever and local redness/swelling, occurring in 151 and 49 cases, accounting for 57.41% and 18.63%, respectively, with reported incidence of 15.92/105 doses and 5.17/105 doses, respectively. Conclusions From 2020 to 2024, the average annual reported incidence of AEFI following vaccination with five types of MCV in Jiaxing City was relatively low, but an increasing trend was observed. Common adverse reactions predominated. AEFI cases were concentrated in children aged <2 years, with relatively higher incidence in summer and autumn, as well as in Haiyan County and Pinghu City. Most cases occurred after the first dose of MCV and within 1 day post-vaccination, with fever and local redness/swelling being the main clinical symptoms.

The health and well-being of the elderly have become a focal point for all sectors of society. As an effective means of preventing and controlling infectious diseases, vaccination plays a critical role in safeguarding human health. For older adults, timely and scientifically guided vaccination can significantly reduce the risk of serious illnesses while alleviating the associated economic burdens and pressure imposed on society. However, in practice, deficiencies in policy support, accessibility of vaccination services, and public awareness hinder some elderly individuals from fully benefiting from the protective effects of vaccines. This paper analyzes current vaccination practices for the elderly globally and proposes strategies to improve vaccination coverage, providing a scientific basis for advancing effective vaccination initiatives for this demographic in China.

Vaccination has become one of the key public health interventions for reducing child mortality. With the implementation of the expanded programme on immunization, the number of vaccine types children need to receive is increasing, necessitating further optimization of childhood immunization strategies. The World Health Organization recommends simultaneous vaccination as one of the core strategies for optimizing childhood immunization schedules. This article analyzes the current status, challenges, and prospects of simultaneous vaccination strategies for children in China, aiming to provide a scientific basis for promoting and implementing strategies for the simultaneous administration of multiple vaccines to children.

Objective To investigate the expression of serum exosomal long non-coding RNA X chromo-some inactivation specific transcript(LncRNA XIST)and microRNA(miR)-130a-3p in gestational diabetes mellitus(GDM)patients and its relationship with pregnancy outcome.Methods A total of 149 GDM patients(GDM group)and 149 healthy pregnant women(control group)admitted to the hospital from January 2021 to January 2024 were selected.Serum exosomal LncRNA XIST,miR-130a-3p and glucose and lipid metabolism indexes of the two groups were detected and compared.The correlation of LncRNA XIST and miR-130a-3p levels with glycolipid metabolism indexes was analyzed by Pearson method.Univariate and multivariate Logis-tic regression models were used to analyze the influencing factors of pregnancy outcomes in GDM patients.Re-ceiver operating characteristic(ROC)curve was used to analyze the predictive efficacy of serum exosomal Ln-cRNA XIST and miR-130a-3p levels alone and in combination for pregnancy outcomes in GDM patients.Results Serum exosomal LncRNA XIST levels,fasting insulin(FINS),fasting blood glucose(FBG),insulin resistance index(HOMA-IR),2-hour postprandial glucose(2 hPG),total cholesterol(TC),triglyceride(TG)and low density lipoprotein cholesterol(LDL-C)levels in GDM group were higher than those in control group(P＜0.05),and the levels of miR-130a-3p and high density lipoprotein cholesterol(HDL-C)were lower than those in the control group(P＜0.05).LncRNA XIST was positively correlated with FINS,FBG,HOMA-IR,2 hPG,TC,TG and LDL-C,and negatively correlated with HDL-C(P＜0.05).miR-130a-3p was negatively correlated with FINS,FBG,HOMA-IR,2 hPG,TC,TG and LDL-C,and positively correlated with HDL-C(P＜0.05).Among the 149 GDM patients,43 cases showed adverse pregnancy outcome,accounting for 28.86％.The increase level of FBG,the increase level of LncRNA XIST and the increase of HOMA-IR were risk factors for adverse pregnancy outcome in GDM patients,while the increase of miR-130a-3p was a protec-tive factor.The ROC curve analysis showed that the predictive efficacy of combined detection was superior to that of single indicator detection.Conclusion The serum exosomal LncRNA XIST of GDM patients is highly expressed,and miR-130a-3p is lowly expressed,and the combined detection of the above indexes has a high predictive value for pregnancy outcome.

Objective To investigate the correlation between dual-energy computed tomography angiography(CTA)parameters of carotid plaques and acute stroke events.Methods A retrospective analysis was conducted on the clinical and imaging data of patients who underwent dual-energy head and neck CTA and brain MRI scans.Utilizing the Siemens workstation(Syngo.Via VB40B),region of interest(ROI)were placed on the thickest slice of the carotid plaque in the axial plane to obtain parameters such as fat fraction(FF),virtual non-contrast(VNC)value,iodine concentration(IC),electron density(Rho),effective atomic number(Zeff),dual energy index(DEI),spectral curve,and corresponding CT values at 40 keV(40 keVHU)and 90 keV(90 keVHU).The slope of the energy spectrum curve(λ)was calculated within the 40 keV-90 keV range.Patients with acute cerebral infarction(ACI)in the ipsilateral anterior circulation territory were classified into the ACI group,while those without were classified into the non-acute cerebral infarction(NACI)(NACI group).Qualitative data were analyzed using the x2 test,and quantitative data were analyzed using the t-test.The predictive performance was assessed using the area under the curve(AUC)of the receiver operating characteristic(ROC)curve,and the differences between different ROC curves were compared using the DeLong test.Results A total of 72 patients were included,with 21 in the ACI group and 51 in the NACI group.The mean values of FF,Zeff,and 40 keVHU in the ACI group were greater than those in the NACI group.Statistically significant differences were observed between the groups for Zeff,DEI,40 keVHU,and λ(P＜0.05).40 keVHU demonstrated the highest predictive performance,and the AUC,sensitivity,and specificity was 0.789,81.0％,and 74.5％,respectively.A combined variable constructed through logistic regression analysis yielded an AUC,sensitivity,and specificity of 0.796,85.7％,and 70.6％,respectively,with no significant statistical differences compared to single factor variables.Conclusion Dual-energy CTA parameters of carotid plaques may aid in predicting intraplaque hemorrhage(IPH)and the occurrence of acute stroke events.

Over the past decade, pathology technology in China has undergone rapid development. Through continuous efforts to strengthen normative foundations and quality control, the three-tiered quality control network (national, provincial, and municipal) has been consolidated. These efforts have effectively driven the homogenization of pathology technical quality nationwide. Concurrently, the standardization of laboratory quality management systems and the advancement of automated pathological equipment have laid a solid foundation for the evolution of pathological diagnosis. Breakthroughs in cutting-edge technologies, including digital pathology, artificial intelligence, and molecular pathology, are further catalyzing a paradigm shift from traditional morphological analysis toward next-generation diagnostic pathology. Marking the 70th anniversary of this journal, the field's evolution over the past decade and chart its future course were reviwed systematically, aiming to provide an insightful roadmap for the ongoing progress of the discipline.

In recent decades,the incidence of human papillomavirus(HPV)-associated oropharyngeal squamous cell carcinoma(OPSCC)has shown a marked increase.Significant changes have also occurred in the OPSCC diagnosis and treatment paradigm.Deter-mining HPV status prior to treatment is now essential,and radiotherapy/chemotherapy,immunotherapy,and minimally invasive surgical techniques have progressively emerged as key modalities for managing OPSCC.However,alongside these paradigm shifts,a comprehen-sive technical consensus guiding the entire diagnostic and therapeutic process for OPSCC patients is currently lacking.Given China's large population base and the rising incidence of OPSCC,an expert panel convened to develop a clinical technical consensus on OPSCC diagno-sis and management tailored to China's specific context.This consensus aims to further enhance and standardize understanding of OPSCC management techniques among relevant healthcare professionals.

OBJECTIVE: Humans are exposed to complex mixtures of environmental chemicals and other factors that can affect their health. Analysis of these mixture exposures presents several key challenges for environmental epidemiology and risk assessment, including high dimensionality, correlated exposure, and subtle individual effects. METHODS: We proposed a novel statistical approach, the generalized functional linear model (GFLM), to analyze the health effects of exposure mixtures. GFLM treats the effect of mixture exposures as a smooth function by reordering exposures based on specific mechanisms and capturing internal correlations to provide a meaningful estimation and interpretation. The robustness and efficiency was evaluated under various scenarios through extensive simulation studies. RESULTS: We applied the GFLM to two datasets from the National Health and Nutrition Examination Survey (NHANES). In the first application, we examined the effects of 37 nutrients on BMI (2011-2016 cycles). The GFLM identified a significant mixture effect, with fiber and fat emerging as the nutrients with the greatest negative and positive effects on BMI, respectively. For the second application, we investigated the association between four pre- and perfluoroalkyl substances (PFAS) and gout risk (2007-2018 cycles). Unlike traditional methods, the GFLM indicated no significant association, demonstrating its robustness to multicollinearity. CONCLUSION GFLM framework is a powerful tool for mixture exposure analysis, offering improved handling of correlated exposures and interpretable results. It demonstrates robust performance across various scenarios and real-world applications, advancing our understanding of complex environmental exposures and their health impacts on environmental epidemiology and toxicology.
Humans ; Environmental Exposure/analysis* ; Linear Models ; Nutrition Surveys ; Environmental Pollutants ; Body Mass Index