ObjectiveBased on the established characteristic profiles， quantitative analysis of multiple components， and chemometric analysis of Taraxacum mongolicum， the quality of different T. mongolicum germplasms was evaluated at the chemical level， thereby providing a reference for the screening of high-quality germplasms and the rational utilization of wild resources. MethodsAn ultra-performance liquid chromatography （UPLC） was employed to establish characteristic profiles. Principal component analysis （PCA） and partial least squares-discriminant analysis （PLS-DA） were then adopted to screen and comprehensively rank marker compounds. ResultsThe UPLC fingerprint of T. mongolicum germplasm identified 13 chromatographic peaks corresponding to gallic acid， coumaric acid， neochlorogenic acid， monocaffeoyltartaric acid， chlorogenic acid， cryptochlorogenic acid， caffeic acid， p-coumaric acid， cichoric acid， luteoloside， isochlorogenic acid B， isochlorogenic acid A， and isochlorogenic acid C. Combined with chemometric analysis such as PCA and PLS-DA， eight core markers （cichoric acid， luteoloside， cryptochlorogenic acid， isochlorogenic acid B， chlorogenic acid， caffeic acid， isochlorogenic acid C， and isochlorogenic acid A） were screened for distinguishing wild and cultivated germplasms. Additionally， eight core markers （cichoric acid， caffeic acid， luteoloside， chlorogenic acid， cryptochlorogenic acid， isochlorogenic acid A， monocaffeoyltartaric acid， and neochlorogenic acid） were selected for the evaluation and screening of different T. mongolicum germplasms. ConclusionThis study establishes a UPLC analysis method capable of simultaneously determining 13 characteristic components in T. mongolicum， such as cichoric acid and chlorogenic acid， as well as their precursor compound contents in the biosynthetic pathway. Based on the above methods， three T. mongolicum germplasms （PGY-004， PGY-009， and PGY-010） with promising medicinal potential are selected for subsequent research on variety breeding. The present study provides a reference for quality control of Taraxacum mongolicum， germplasm screening， and the rational development and utilization of wild resources.

Osteoporosis is a common senile bone metabolism disease， clinically characterized by decreased bone mass， destruction of bone microstructure， increased bone fragility， and easy fracture. It tends to occur in the elderly and postmenopausal women， seriously threatening the quality of life and physical and mental health of the elderly. At present， the treatment of osteoporosis is mainly based on oral western medicines， such as calcium， Vitamin D， and bisphosphonates. Still， there are drawbacks such as a long medication cycle and many adverse reactions. In recent years， due to the advantages of multi-component， multi-pathway， and multi-target， some traditional Chinese medicines and effective ingredients can regulate the osteogenic and osteoclastic differentiation process in both directions and are widely used in the prevention and treatment of osteoporosis. Hippophae rhamnoides is a commonly used herbal medicine， and its fruits are rich in flavonoids， polyphenols， fatty acids， vitamins， and trace elements， which have been proven to have a good anti-osteoporosis effect. Isorhamnetin is the main effective ingredient of Hippophae rhamnoides fruits， which has many pharmacological effects such as anti-inflammation， anti-oxidative stress， anti-aging， and anti-tumor. Studies have shown that isorhamnetin can participate in the regulation of bone metabolism and has a good anti-osteoporosis effect. However， the pharmacological effects and related mechanisms of isorhamnetin against osteoporosis have not been systematically summarized. Therefore， this paper reviewed the pharmacological effects and related mechanisms of isorhamnetin against osteoporosis by referring to relevant literature to provide more basis for the development and application of isorhamnetin.

Narrative is the cornerstone of interpersonal relationships and life safety. However， its important value in daily life， school education， health management， personal happiness， career development， and other aspects has been ignored. The narrative ecology of families， schools， hospitals， workplaces， and elderly care institutions is worrying， the narrative connection between parent-child and intergenerational is broken， the narrative nature of adolescents is ignored， the narrative demands of patients are neglected， narrative relationships in the workplace are indifferent， and the narrative capital of the elderly is idle. These issues have resulted in serious social problems， such as depression and suicide among adolescents， conflicts between doctors and patients， workplace and life burnout among middle-aged people， and the inability of the elderly to achieve healthy aging， which have become a “stumbling block” to the realization of holistic health. Advocating the construction of narrative ecology and interpersonal narrative connections is an important measure of achieving holistic health. Taking the “narrative concept” as the overall framework， and based on the research， education， and practice carried out by the Alliance of Narrative Medicine in Higher Education Institutions， this paper proposed that actively build China’s narrative system of life and health， to enable narrative play an active and dynamic role in the construction of narrative ecology in different spaces， such as the families， the schools， the hospitals， the workplaces， and the elderly care institutions， as well as practically improve the quality of life of the people.

Objective To identify the independent predictors of programmed death-1 (PD-1) inhibitor-related endocrine adverse events and construct a clinically usable risk prediction model. Methods A total of 302 patients with solid tumors treated with PD-1 inhibitors were retrospectively enrolled. According to the presence or absence of endocrine immune-related adverse events (irAEs), the patients were divided into case group and control group. The clinical and laboratory indexes were compared between the two groups. Multivariable logistic regression was used to confirm independent predictors of endocrine irAEs. The nomogram was constructed, while the receiver operating characteristic (ROC) curve was used to test the prediction performance of the model. Results The overall incidence of endocrine irAEs was 21.9% (66/302), and the incidence of hypothyroidism was 19.5% (59/302). The age, PD-1 inhibitors, free thyroxine, thyroid peroxidase antibody (TPOAb), thyroglobulin, amylase, lymphocyte subset CD3 expression were statistically different between the two groups (P＜0.05). Multivariable logistic regression showed that higher expression of lymphocyte subset CD3 was a protective factor to prevent endocrine irAEs occurrence (P＝0.004), while age＜60 years, higher TPOAb and use of pembrolizumab were independent risk factors of endocrine irAEs (P＜0.05). The nomogram model thus constructed, and when the threshold probability of the model exceeded 0.1, its net benefit was higher. ROC curve showed that the AUC of the model to predict endocrine irAEs was 0.760. The prediction result of the model was highly consistent with the actual result. Conclusions The age, type of PD-1 inhibitor, baseline TPOAb level, and baseline CD3 expression can independently predict endocrine irAEs occurrence or not. The nomogram model based on this model has good predictive efficiency, which can provide reference for early identification of high-risk patients and immunotherapy management.

Accurate prediction of drug responses in cancer cell lines (CCLs) and transferable prediction of clinical drug responses using CCLs are two major tasks in personalized medicine. Despite the rapid advancements in existing computational methods for preclinical and clinical cancer drug response (CDR) prediction, challenges remain regarding the generalization of new drugs that are unseen in the training set. Herein, we propose a multimodal fusion deep learning (DL) model called drug-target and single-cell language based CDR (DTLCDR) to predict preclinical and clinical CDRs. The model integrates chemical descriptors, molecular graph representations, predicted protein target profiles of drugs, and cell line expression profiles with general knowledge from single cells. Among these features, a well-trained drug-target interaction (DTI) prediction model is used to generate target profiles of drugs, and a pretrained single-cell language model is integrated to provide general genomic knowledge. Comparison experiments on the cell line drug sensitivity dataset demonstrated that DTLCDR exhibited improved generalizability and robustness in predicting unseen drugs compared with previous state-of-the-art baseline methods. Further ablation studies verified the effectiveness of each component of our model, highlighting the significant contribution of target information to generalizability. Subsequently, the ability of DTLCDR to predict novel molecules was validated through in vitro cell experiments, demonstrating its potential for real-world applications. Moreover, DTLCDR was transferred to the clinical datasets, demonstrating satisfactory performance in the clinical data, regardless of whether the drugs were included in the cell line dataset. Overall, our results suggest that the DTLCDR is a promising tool for personalized drug discovery.

Objective To study the death status of pancreatic cancer among residents in Xuhui district, Shanghai, from 1992 to 2021, and analyze its trends of change, so as to provide evidence for the prevention and treatment of pancreatic cancer. Methods Based on the database of Shanghai death registration system from 1992 to 2021, the crude mortality rate, standardized mortality rate, age-specific mortality rate and other indicators of pancreatic cancer among registered residents in Xuhui district were calculated. The Joinpoint software was used to analyze the trends of average annual percent change (AAPC) of pancreatic cancer mortality rate, and the age-period-cohort model was used to analyze the age effect, period effect and birth cohort effect pairs significant changes in pancreatic cancer mortality. Results In 2021, the mortality rate of pancreatic cancer in Xuhui district, Shanghai, ranked fourth among malignant tumors, and the winning rate and world standard rate of the whole population, males and females were 8.34/100 000 (8.81/100 000, 7.98/100 000) and 7.28/100 000 (7.69/100 000, 6.96/100 000), respectively, with males higher than females. AAPC of crude mortality rate and the standardized (6) mortality rate were higher in males than that in females. The age-specific mortality rate increased with the increase of age, and the highest mortality rate was found in 60-84 years old group. The age-period-cohort model showed that from 1992 to 2021, the annual net shift of pancreatic cancer mortality among the whole population, male and female residents in Xuhui district, Shanghai, was 1.22%, 1.58%, 1.15% (P=0.20, 0.19, 0.45) respectively, and the time trend was not significant. From the perspective of age effect, the risk of death from pancreatic cancer in the whole population and with age deviation in males had an obvious trend with increasing age (P<0.05), while the age effect in females had no obvious trend. From the perspective of period effect, no period deviation was significant in the whole population, males and females (P>0.05). In terms of cohort effects, there were significant differences in the whole population and the male cohort deviations(P<0.05). No significant cohort effect was observed in the female population. Conclusions The mortality rate of pancreatic cancer among registered residents in Xuhui district, Shanghai from 1992 to 2021, was on the rise, especially in the 60-84 years old group and male. The prevention and control of pancreatic cancer needs to develop effective epidemic prevention measures for corresponding populations.

As the cornerstone of modern medical diagnosis,pathology is facing multiple challenges such as workforce shortages,strong diagnostic subjectivity,and inefficient workflows.With advantages in image recognition,pattern analysis,and big data processing,artificial intelligence(AI)is increasingly being integrated into the field of pathological diagnosis,driving its transition toward digitization and intelligence.This article systematically reviews the development of AI in pathology,from early supervised learning validation to weakly supervised learning overcoming annotation bottlenecks,and the recent rise of self-supervised and multimodal foundation models.It demonstrates the broad applications of AI in improving diagnostic consistency,optimizing workflows,and predicting molecular features and prognoses.AI not only enhances the objectivity and efficiency of pathological diagnosis but also promotes the development of emerging interdisciplinary fields such as computational pathomics,providing strong support for precision medicine.Although challenges such as data standardization and regulatory approval remain in clinical implementation,the deep integration of AI and pathology is ushering in a new era of human-machine collaboration and intelligent diagnostics.

BACKGROUND:The landing error scoring system test is a standard for assessing the risk of non-contact injuries and has not yet been developed for Chinese college soccer programs. OBJECTIVE:To establish a test evaluation standard for the landing error scoring system to provide a basis for evaluating the risk of non-contact injuries in college soccer students. METHODS:A prospective cohort study was designed in which 219 athletes from 10 college soccer teams were tested with the standard landing error scoring system,and the subjects were followed up by questionnaires and medical examinations for non-contact injuries of the lower extremities and trunk for 1 year after testing to determine sex differences and assessment criteria for the landing error scoring system test indicators. RESULTS AND CONCLUSION:The total score of the landing error scoring system was(8.22±1.65)points for 219 subjects,(8.29±1.74)for males and(8.07±1.44)for females,with no significant difference between males and females(P>0.05).Within 1 year after the test,the overall injury rate of 219 subjects was 10.05%and the morbidity rate was 15.98%;the injury rate of male subjects with non-contact injury of the lower limbs and trunk was 12.75%and the morbidity rate was 20.13%;the injury rate of female subjects with non-contact injury of the lower limbs and trunk was 4.29%and the morbidity rate was 7.14%.There were no significant differences in the injury rate between men and women(P<0.05).The total score of the landing error scoring system was higher in the injury group than in the non-injury group[(9.50±1.14)vs.(8.08±1.64),P<0.01];for male subjects,the total score of the landing error scoring system was higher in the injury group than in the non-injury group[(9.63±1.12)vs.(8.09±1.73),P<0.01].The area under the curve for the total score of the landing error scoring system was 0.773(P=0.000),which had a diagnostic value for the risk of non-contact injury of the lower extremities and trunk in male subjects,with a best cut-off point of 8.5,sensitivity of 0.842,specificity of 0.623,positive likelihood ratio of 2.233,negative likelihood ratio of 0.254,relative risk factor of 8.400,and odds ratio of 8.816;the total score of the landing error scoring system was not applicable for assessing the risk of non-contact injury of the lower extremities and trunk in female subjects.To conclude,the landing error scoring system test can be used as a criterion to assess the risk of non-contact injury to the lower extremity and trunk in Chinese college male soccer players,with an optimal cut-off point of 8.5.The risk of non-contact injury to the lower extremity and trunk is 8.40 times higher in male athletes with a landing error scoring system test score of≥8.5 than in male athletes with a score of<8.5.

Background::China is one of the countries with the largest burden of gastrointestinal and liver diseases (GILD) in the world. The GILD constitutes various causes of mortality and disability. The study aimed to investigate the trend of GILD in China using the Global Burden of Diseases Study 2019 (GBD 2019) data resources from 1990 to 2019.Methods::The data on the age-standardized mortality rates (ASMR) and disability-adjusted life years (DALYs) for GILD in China from 1990 to 2019 were collected from the GBD 2019 data resources. Furthermore, the ranking of the main causes of deaths and DALYs, as well as the trends of ASMR, DALYs, years of life lost (YLLs), and years of life lost due to disability (YLDs) per 1,000,000 in GILD were reported.Results::The ASMR and DALYs for stomach cancer, liver cancer, and esophageal cancer, which ranked top three among the GILDs from 1990 to 2019, were gradually decreasing. Significant decreases in the ASMR and DALYs were found in diarrheal diseases and acute hepatitis (A, E, and C). However, noteworthy increases were found in those of colon and rectum cancer (CRC) and pancreatic cancer. Trend of DALYs, mortality, and YLLs rates for most of GILD were decreasing from 1990 to 2019, except the burden of CRC and pancreatic cancer with an increasing trend. The DALYs, mortality and YLLs of most GILD diseases showed decreasing trends from 1990 to 2019, except the burden of CRC and pancreatic cancer with an increasing trends.Conclusions::The result of the GBD 2019 showed that the rates of most GILDs decreased in China; however, gastrointestinal and liver cancer, such as stomach cancer still held the top ranking. Furthermore, the shift from infectious diseases to non-communicable causes among GILD burden is occurring.

ObjectiveTo understand the death status of major chronic diseases among the registered residents in Xuhui District， Shanghai from 2007 to 2021， and to analyze the probability and trend of premature death， so as to provide an evidence for the policy-making of disease control and prevention. MethodsBased on the data from the death registration system of the registered residents in Xuhui District， Shanghai from 2007 to 2021， the mortality rate of major chronic diseases， life expectancy without cause of death， potential years of life lost （PYLL）， average years of life lost （AYLL）， and premature death rate were calculated. Joinpoint 4.8 software was used to calculate the annual percentage change （APC） of premature death rate and its trend. ResultsIn 2021， the mortality rate and standardized mortality rate of four major chronic diseases， namely cardiovascular and cerebrovascular diseases， malignant tumors， diabetes mellitus and chronic lower respiratory diseases among the registered residents in Xuhui District， Shanghai was 767.75/100 000 and 234.69/100 000， respectively， accounting for 85.63% of the total causes of death among the residents in Xuhui District， Shanghai. The PYLL， AYLL and PYLL rate were 10 710.00 person-years， 1.49 years per person， and 11.43‰， respectively. Life expectancy increased by 14.91 years after removing the four major chronic diseases. From 2007 to 2021， the premature death rate of chronic diseases among the registered residents in Xuhui District decreased from 9.38% to 7.91% （APC=-1.09%，P<0.05）. Malignant tumors had the highest rate in premature death， and the premature death rate was higher in males than that in females， with a slower rate of decline than in females. Cardiovascular and cerebrovascular diseases， malignant tumors and chronic lower respiratory diseases showed a significant decreasing trend in premature death rate （APC=-1.30%， -1.20%， -5.42%， P<0.05）， while diabetes mellitus showed a significant increasing trend in premature death rate （APC=3.20%， P<0.05）. There was a significant increasing trend in the rate of premature death from diabetes mellitus in males （APC=5.15%， P<0.05） and a decreasing trend in the rate of premature death from diabetes mellitus in females （APC=-0.76%， P<0.05）. ConclusionCardiovascular and cerebrovascular diseases， malignant tumors， diabetes mellitus and chronic lower respiratory diseases are the main causes of death among the registered residents in Xuhui District. The probability of premature death of the residents in Xuhui District from major chronic diseases is at a low level， indicating that the prevention and control of chronic diseases in Xuhui District has achieved some success， but it is still difficult to realize the goals of the Outline of the "Healthy China 2030" Plan. Therefore， it is necessary to comprehensively carry out the control of risk factors such as tobacco use， harmful alcohol consumption， salt intake， hypertension， hyperglycemia and obesity， especially to strengthen the control of risk factors for male residents， as well as early diagnosis and treatment of malignant tumors， cardiovascular and cerebral vascular diseases and diabetes mellitus， and to implement the disease management mechanism to reduce premature death.