Amber and subfossil resins are subjects of interdisciplinary research across multiple fields. However, due to their diverse origins and complex compositions, different disciplines vary in their definitions and functional interpretations. In traditional Chinese medicine(TCM), amber has been utilized as a medicinal material since ancient time, with extensive historical documentation. However, its classification, provenance, and nomenclature remain ambiguous, and authentic medicinal amber artifacts are exceedingly rare. This study employed Fourier-transform infrared spectroscopy(FTIR) to characterize amber and subfossil resins from various geological sources and commercially "medicinal amber". Additionally, historical literature and market surveys were analyzed to explore their provenance, composition, and functional attributes. The results indicate that amber and subfossil resins from different sources and with different compositions exhibit distinct fingerprint characteristics in the FTIR spectral range of 1 800-700 cm~(-1). "Medicinal amber" available in the market primarily consists of subfossil or modern resins, significantly differing in composition and structure from geological amber. This study highlights the importance of interdisciplinary research on amber identification and resource management. It is essential to establish a systematic database of amber and subfossil resin characteristics and integrate modern analytical techniques to enhance research on their composition, pharmacological mechanisms, and potential therapeutic effects, thereby promoting the standardized utilization of amber resources and advancing the modernization of TCM.
Amber/history* ; Archaeology ; Spectroscopy, Fourier Transform Infrared ; Medicine, Chinese Traditional

Objective To evaluate the value of miniprobe endoscopic ultrasound(EUS)in guiding endoscopic treatment of small-diameter(maximum diameter less than 1 cm)and low-grade(G1 grade)rectum neuroendocrine neoplasm(R-NEN),and to provide evidence and clues for its clinical application and further research.Methods The clinical data of 85 cases of low-grade(G1 grade)R-NEN with a maximum diameter of less than 1 cm who underwent endoscopic treatment in our center from January 2014 to December 2020 were retrospectively analyzed.The patients were divided into the EUS group(37 cases)and control group(48 cases)according to whether EUS was performed before endoscopic treatment.The positive rate of incision margin,the incidence of complications,the recurrence rate,the hospital stay,the cost of hospitalization and endoscopic therapy were compared between the two groups.Results The positive rate of incision margin in the EUS group was significantly lower than that in control group(P<0.05).There was no significant difference in the incidence of complications,tumor recurrence rate,hospital stay or hospital costs between the two groups(P>0.05).There was statistically significant difference in the endoscopic therapy between the two groups(P<0.05).Conclusion Evaluating the lesion depth of small-diameter and low-grade(G1 grade)R-NEN before surgery by miniprobe EUS and selecting endoscopic surgery according to its results of can significantly reduce the residual risk of resection margin tumors.

Objective: To study the impact of sleep characteristics on myopia, among lower primary school students in Shanghai, so as to provide foundation for the prevention of the onset and development of myopia. Methods: A total of 636 students from the first and second grades of two primary schools in Jiading District, Shanghai, were selected through cluster random sampling for questionnaire surveys and ophthalmological examinations in October 2022. The Childrens Sleep Habits Questionnaire (CSHQ) was used to assess sleep quality at baseline. Ophthalmological examinations were conducted in October 2023(479), during which the students study time, screen time and outdoor activity time were monitored for twoweek, repeated twice. Generalized multivariable Logistic regression models and linear regression models were employed to examine the association between sleeprelated factors and myopia, as well as the strength of this association. Results: The baseline survey indicated a myopia prevalence of 18.58%, with 17.18% at followup. The average CSHQ total score was (51.58±4.44), and the average daily sleep duration was (9.43±4.84)h/d, with only 11.6% of participants meeting the recommended sleep sufficiency. Multivariable regression models indicated that insufficient sleep showed positive association with myopia (OR=1.64, 95%CI=1.05-2.56), while bedtime duration was significantly negative associated with myopia (OR=0.74, 95%CI=0.63-0.91, P＜0.05), adjusting for confounding factors. Inconsistency in bed rest time was a risk factor for myopia (OR=1.07, P<0.05), and the consistency of bed rest time, and wakeup time showed statistically significant correlations with SE (P<0.05). There was also statistically significant correlations between consistency in sleep time, bed rest time, and wakeup time with AL (P<0.05). Conclusions Insufficient sleep and bedtime duration are correlated with the onset and progression of myopia. It is critical to ensure sufficient sleep duration and regular sleep habits for children to reduce the occurrence of myopia in the primary school students.

Objective To construct an artificial intelligence assisted diagnosis model based on deep learning for dynamically recognizing gastric lesions and their locations under gastroscopy in real time,and to evaluate its ability to detect and recognize gastric lesions and their locations.Methods The gastroscopy videos of 104 patients in our hospital was retrospectively analyzed,and the video frames were manually annotated.The annotated picture frames of lesion category were divided into the training set and the validation set according to the ratio of 8∶2,and the annotated picture frames of location category were divided into the training set and the validation set according to the patient sources at the ratio of 8∶2.These sets were utilized for training and validating the respective models.YoloV4 model was used for the training of lesion recognition,and ResNet152 model was used for the training of location recognition.The accuracy,sensitivity,specificity,positive predictive value,negative predictive value and location recognition accuracy of the auxiliary diagnostic model were evaluated.Results A total of 68 351 image frames were annotated,with 54 872 frames used as the training set,including 41 692 frames for lesion categories and 13 180 frames for location categories.The validation set consisted of 13 479 frames,comprising 10 422 frames for lesion categories and 3 057 frames for location categories.The lesion recognition model achieved an overall accuracy of 98.8%,with a sensitivity of 96.6%,specificity of 99.3%,positive predictive value of 96.3%,and negative predictive value of 99.3% in validation set.Meanwhile,the location recognition model demonstrated an top-5 accuracy of 87.1% .Conclusion The artificial intelligence assisted diagnosis model based on deep learning for real-time dynamic recognition of gastric lesions and their locations under gastroscopy has good ability in lesion detection and location recognition,and has great clinical application prospects.

Headache is a common clinical complication of ischemic stroke. As a precursor of stroke, headache occurs repeatedly in the convalescent period of ischemic stroke, leading to secondary stroke and seriously hindering patients' rehabilitation. Currently, it is believed that the pathogenesis of ischemic stroke-related headache is associated with the abnormal release of vasoactive substances, high platelet aggregation, and stimulation of intracranial pain-sensitive structures. The active ingredients in traditional Chinese medicines(TCM) with the effects of activating blood to resolve stasis and clearing heat to release exterior can protect brain tissue and relieve headache by reducing the release of inflammatory cytokines, alleviating antioxidant stress, inhibiting neuronal apoptosis and so on. This paper introduces the research progress in the potential mechanism and TCM treatment of ischemic stroke-related headache, aiming to provide reference for further research and drug development of this complication.
Humans ; Ischemic Stroke/drug therapy* ; Brain Ischemia/drug therapy* ; Medicine, Chinese Traditional ; Stroke/drug therapy* ; Headache/drug therapy* ; Drugs, Chinese Herbal/therapeutic use*

Based on the concept of quality by design(QbD), the Box-Behnken design-response surface methodology combined with standard relation(SR) and analytic hierarchy process(AHP)-entropy weight method(EWM) was applied to optimize the extraction process of the classic prescription Yihuang Decoction. The content of geniposidic acid, phellodendrine hydrochloride, and berberine hydrochloride in Yihuang Decoction, the extract yield, and fingerprint similarity were used as the critical quality attributes(CQAs) of the extraction process. The extraction time, water addition, and extraction times were used as the critical process parameters(CPPs). After determining the levels of each factor and level through single-factor experiments, response surface experiments were designed according to the Box-Behnken principle, and the experimental results were analyzed. The SR between each sample and the reference sample under various evaluation indicators of different extraction parameters was calculated. The weights of the five evaluation indicators were determined using AHP-EWM, followed by comprehensive evaluation. A function model between CPPs and CQAs characterized by comprehensive scores was established to predict the optimal extraction process parameters. In the final comprehensive weight coefficients, the yield rate accounted for 43.1%, and the content of berberine hydrochloride, phellodendrine hydrochloride, and geniposidic acid accounted for 35.1%, 6.3%, and 15.5%, respectively. After comprehensive score analysis with SR, the established second-order polynomial model was statistically significant(P<0.01, and the lack of fit was not significant). The predicted optimal extraction conditions for Yihuang Decoction were determined as follows: 8-fold volume of water, extraction time of 1.5 h, and extraction once. The mean comprehensive score of the validation experiment was 85.77, with an RSD of 0.99%, and it met the quality control stan-dards for the reference sample of Yihuang Decoction. The results indicate that the optimized extraction process for Yihuang Decoction is stable and reliable, and the water extract is close in quality attributes to the reference sample. This can serve as a foundation for the research and development of granules in the future. Box-Behnken design-response surface methodology combined with SR and AHP-EWM can provide references for the modern extraction process research of other classic prescriptions.
Drugs, Chinese Herbal ; Analytic Hierarchy Process ; Berberine ; Entropy ; Water

ObjectiveTo predict the pharmacodynamic basis and core target of Shengxiantang in the treatment of myasthenia gravis （MG） by network pharmacology and molecular docking and to further verify the molecular mechanism through animal experiment. MethodThe active components and potential targets of Shengxiantang were retrieved from Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform （TCMSP）， and the disease-related targets from GeneCards and other databases. Then the common targets of the decoction and the disease were screened out， followed by the construction of protein-protein interaction （PPI） network， and Gene Ontology （GO） term enrichment and Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway enrichment of the common targets based on STRING database and Cytoscape 3.8.2. Afterward， Cytoscape 3.8.2 was employed to construct the disease-active component-target network. AutoDock and PyMOL were used for molecular docking of key components and hub genes. Finally， we used the Rα97-116 peptide to induce experimental autoimmune myasthenia gravis （EAMG） in rats and then verified the core target yielded in the docking with the model rats. ResultA total of 655 disease-related targets， 118 active components of the decoction， 21 common targets of the disease and the decoction， and 3 hub genes were screened out. The common targets were mainly involved in the GO terms of regulation of active oxygen metabolism， positive regulation of protein transport， and positive regulation of protein localization， and the KEGG pathways of toll-like receptor signaling pathway， phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt） signaling pathway， hypoxia inducible factor-1 （HIF-1） signaling pathway， and T cell receptor signaling pathway. The results of molecular docking showed that quercetin and Akt1 had the lowest and stable binding energy and interacted with each other through the amino acid residue LYS-30. Western blot demonstrated that Shengxiantang significantly inhibited the expression of p-Akt protein in the spleen of EAMG rats. ConclusionThe pharmacological mechanism of Shengxiantang in the treatment of MG may be that the main chemical components regulate the expression of the core protein Akt， and then may participate in and affect PI3K/Akt signaling pathways， laying a theoretical and experimental basis for further research.

Objective:To develop an online interactive cytopathological training program, and to evaluate it for improving the cytopathological diagnostic ability of endoscopists in endoscopic ultrasound-guided fine-needle aspiration (EUS-FNA) of pancreas.Methods:A total of 5 500 cytopathological images were collected from 194 patients with pancreatic solid mass who underwent EUS-FNA in Nanjing Drum Tower Hospital from August 2018 to August 2019. The cell type in each cytopathological picture was labeled by senior cellular pathologists, which was used to build a learning and testing platform for online interactive cytopathological training. Five endoscopists without cytopathological background were invited to participate in this training. Sensitivity, specificity, positive predictive value and negative predictive value of endoscopists in differential diagnosis of cancer and non-cancer before and after training were compared to evaluate the effect of the online interactive cytopathological training program on improving the ability of endoscopists in diagnosis of cytopathology.Results:A cytopathological training platform for endoscopists to learn and take online test was successfully built. Before training, sensitivity, specificity, positive predictive value, negative predictive value and accuracy of diagnosis of cancer and non-cancer for endoscopists were 0.55 (95% CI: 0.53-0.58), 0.32 (95% CI: 0.30-0.35), 0.43 (95% CI: 0.41-0.45), 0.44 (95% CI: 0.41-0.47) and 0.43 (95% CI: 0.42-0.45), respectively. After training, the above indicators were 0.96 (95% CI: 0.95-0.97), 0.70 (95% CI: 0.68-0.73), 0.74 (95% CI: 0.72-0.76), 0.95 (95% CI: 0.94-0.96) and 0.81 (95% CI: 0.80-0.83), respectively, which were significantly improved compared with those before ( P<0.001). Conclusion:The online interactive cytopathological training program can improve the understanding and diagnostic ability of endoscopists in pancreatic cytopathology, help to implement rapid on-site evaluation in the process of EUS-FNA, and improve the diagnostic efficiency of EUS-FNA.

Influenza is an infectious respiratory disease caused by the influenza viruses. Older people, infants and people with underlying medical conditions could have a higher risk of severe influenza symptoms and complications. The co-infection of Coronavirus Diseases 2019 (COVID-19) with influenza viruses could lead to the complication of prevention, diagnosis, control, treatment, and recovery of COVID-19. Influenza vaccine and COVID-19 vaccine overlapped in target populations, vaccination time, and inoculation units. Although there was insufficient evidence on the immunogenicity and safety of co-administration of influenza vaccine and COVID-19 vaccine, World Health Organization and some countries recommended co-administration of inactivated influenza vaccine and COVID-19 vaccine. This review summarized domestic and international vaccination policies and research progress, and put forward corresponding suggestions in order to provide scientific support for the formulation of vaccination strategy on seasonal influenza vaccine and COVID-19 vaccine.
Aged ; COVID-19 ; COVID-19 Vaccines ; China ; Humans ; Infant ; Influenza Vaccines ; Influenza, Human/prevention & control* ; Pandemics/prevention & control* ; SARS-CoV-2 ; Seasons ; Vaccination

The World Health Organization (WHO) released the global strategy report on digital health (2020-2025) in Geneva in 2019, which established the priority of the digital health strategy and formulated strategic objectives, guiding principles, action framework and implementation plans to promote the development of global digital health, and to achieve universal health coverage and the health-related sustainable development goals. Despite China's rapid development in the field of digital health, there is still a big gap between the realization of the goal of digital health. Therefore, it is urgent to grasp the major historical opportunity and step into a new era of digital health with the support of digital technology platform.
China ; Global Health ; Humans ; Universal Health Insurance ; World Health Organization