ObjectiveWe reviewed the existing experimental studies about renal injury-inducing Chinese medicine and systematically analyzed the toxicity mechanisms， toxic components， toxicity attenuation measures， and modern evaluation methods of renal injury-inducing Chinese medicine. The results are expected to provide new ideas for the modern research on kidney injury-inducing Chinese medicine， offer new breakthrough points for the toxicity attenuation of Chinese medicine by compatibility and processing， and give insights into the future research of Chinese medicine toxicology on the basis of ensuring the safety and scientific application of Chinese medicine. MethodsThe animal， cell， and clinical studies of kidney injury-inducing Chinese medicine were retrieved from CNKI， Wanfang Data， VIP， PubMed， and Web of Science. The names and toxic components of renal injury-inducing Chinese medicine， renal injury sites， toxicity mechanisms， toxicity attenuation measures， and related evaluation methods were summarized. ResultsThe toxicity mechanisms of kidney injury-inducing Chinese medicine mainly involved oxidative stress， endoplasmic reticulum stress， inflammatory cell infiltration， and organic anion transporters. Processing and compatibility were the main toxicity attenuation measures. The evaluation methods encompassed animal experiments， cell models， network pharmacology， metabolomics， toxicology genomics， and fluorescent probe technology. ConclusionAt present， the toxicological verification of kidney injury-inducing Chinese medicine starts from toxic components and combines various experimental methods， which is more comprehensive and systematic than the previous studies based on only animal experiments. According to the classical theories of traditional Chinese medicine， the toxicity of kidney injury-inducing Chinese medicine is mainly attenuated by decocting in water， steaming， and frying. With the progress of science and technology， new processing methods for toxicity attenuation are emerging， and structural transformation， fermentation， and microwave methods are the key research directions of toxicity attenuation of Chinese medicine in recent years.

ObjectiveWe reviewed the existing experimental studies about renal injury-inducing Chinese medicine and systematically analyzed the toxicity mechanisms， toxic components， toxicity attenuation measures， and modern evaluation methods of renal injury-inducing Chinese medicine. The results are expected to provide new ideas for the modern research on kidney injury-inducing Chinese medicine， offer new breakthrough points for the toxicity attenuation of Chinese medicine by compatibility and processing， and give insights into the future research of Chinese medicine toxicology on the basis of ensuring the safety and scientific application of Chinese medicine. MethodsThe animal， cell， and clinical studies of kidney injury-inducing Chinese medicine were retrieved from CNKI， Wanfang Data， VIP， PubMed， and Web of Science. The names and toxic components of renal injury-inducing Chinese medicine， renal injury sites， toxicity mechanisms， toxicity attenuation measures， and related evaluation methods were summarized. ResultsThe toxicity mechanisms of kidney injury-inducing Chinese medicine mainly involved oxidative stress， endoplasmic reticulum stress， inflammatory cell infiltration， and organic anion transporters. Processing and compatibility were the main toxicity attenuation measures. The evaluation methods encompassed animal experiments， cell models， network pharmacology， metabolomics， toxicology genomics， and fluorescent probe technology. ConclusionAt present， the toxicological verification of kidney injury-inducing Chinese medicine starts from toxic components and combines various experimental methods， which is more comprehensive and systematic than the previous studies based on only animal experiments. According to the classical theories of traditional Chinese medicine， the toxicity of kidney injury-inducing Chinese medicine is mainly attenuated by decocting in water， steaming， and frying. With the progress of science and technology， new processing methods for toxicity attenuation are emerging， and structural transformation， fermentation， and microwave methods are the key research directions of toxicity attenuation of Chinese medicine in recent years.

Objective To make an epidemiological investigation on traditional Chinese medicine(TCM)dampness syndrome manifestations in the population at risk of cerebrovascular diseases in Guangdong area.Methods A cross-sectional study was conducted to analyze the clinical data related to the risk of cerebrovascular diseases in 330 Guangdong permanent residents.The diagnosis of dampness syndrome,quantitative scoring of dampness syndrome and rating of the risk of stroke were performed for the investigation of the distribution pattern of dampness syndrome and its influencing factors.Results(1)A total of 306(92.73%)study subjects were diagnosed as dampness syndrome.The percentage of dampness syndrome in the risk group was 93.82%(258/275),which was slightly higher than that of the healthy group(48/55,87.27%),but the difference was not statistically significant(χ2 = 2.91,P = 0.112).The quantitative score of dampness syndrome in the risk group was higher than that of the healthy group,and the difference was statistically significance(Z =-2.24,P = 0.025).(2)Among the study subjects at risk of cerebrovascular disease,evaluation time(χ2 = 26.11,P = 0.001),stroke risk grading(χ2= 8.85,P = 0.031),and history of stroke or transient ischemic attack(TIA)(χ2 = 9.28,P = 0.015)were the factors influencing the grading of dampness syndrome in the population at risk of cerebrovascular disease.Conclusion Dampness syndrome is the common TCM syndrome in the population of Guangdong area.The manifestations of dampness syndrome are more obvious in the population with risk factors of cerebrovascular disease,especially in the population at high risk of stroke,and in the population with a history of stroke or TIA.The assessment and intervention of dampness syndrome should be taken into account for future project of stroke prevention in Guangdong.

【Objective】 To identify the risk factors of patients of bone metastatic prostate cancer with high tumor load progressed to castration resistant prostate cancer (CRPC), establish a nomogram prediction model and evaluate its consistency and accuracy. 【Methods】 A total of 164 patients diagnosed by puncture and imaging during 2012 and 2022 were included.The general characteristics were analyzed with IBM SPSS software; the variables were screened with Cox regression; the multivariate risk factors with P<0.05 were included in the nomogram prediction model.The consistency and prediction accuracy of the model were evaluated with C-index, receiver operating characteristic (ROC) curve and calibration chart. 【Results】 In univariate analysis, initial prostate-specific antigen (PSA), prostate-specific antigen density (PSAD), Gleason score, T stage, alkaline phosphatase (ALP) and lactate dehydrogenase (LDH) were correlated with CRPC (P<0.05).Multivariate analysis showed that initial PSA, Gleason score, T stage, ALP and LDH were independent risk factors of CRPC (P<0.05).Based on the above five risk factors, a nomogram prediction model was constructed.The C-index was 0.801, the area under ROC curve (AUC) of 1-year progression-free survival (PFS) was 0.701 (0.608-0.794), and the AUC of 2-year PFS was 0.857 (0.767-0.947).The calibration chart showed that the prediction probability of the model was in good agreement with the actual probability. 【Conclusion】 Initial PSA, Gleason score, T stage, ALP and LDH are independent risk factors of CRPC.The predictive model may be an effective tool for the initial diagnosis of high tumor load bone metastatic prostate cancer, but more data are needed for internal and external validation.

Objective:This study aims to analyze the clinical characteristics of elderly patients with lung adenocarcinoma and to construct a predictive model for assessing their survival.Methods:We conducted a retrospective analysis of clinical data sourced from the SEER database for patients aged 60 years or older who were diagnosed with lung adenocarcinoma between 2013 and 2018.Cox regression analysis was employed to identify independent prognostic factors affecting the survival of elderly lung adenocarcinoma patients, leading to the development of a nomogram model.The discriminative ability and calibration of the nomogram were assessed using the C-index and calibration curve.Each patient's total risk score was calculated based on the predictive model, and patients were stratified according to the quartiles of their total risk scores.The Kaplan-Meier method and Log-rank test were utilized to evaluate survival differences among the identified risk groups.Results:Among 38, 852 lung adenocarcinoma patients, 17, 200 were males and 21, 652 were females.Significant differences in survival rates were observed among lung adenocarcinoma patients based on age, gender, marital status, histological grade, TNM stage, tumor size, and the presence of bone, brain, or liver metastases, as well as the type of treatment received, including surgical treatment, radiation therapy, and chemotherapy(all P<0.001).The C-index of the training model was 0.815(95% CI: 0.811-0.819), while the validation model yielded a C-index of 0.810(95% CI: 0.804-0.816).The prediction model demonstrated higher Area Under Curve(AUC)values of 0.746, 0.768, and 0.775 for 1-year, 3-year, and 5-year survival in the modeling dataset, respectively, and 0.747, 0.770, and 0.777 in the validation dataset.Furthermore, the risk stratification model effectively distinguished patients at varying levels of risk( P<0.001). Conclusions:Age, gender, marital status, histological grade, TNM stage, tumor size, and the presence of bone, brain, and liver metastases, along with treatment modalities such as surgery, radiotherapy, and chemotherapy, were identified as independent prognostic factors for elderly patients with lung adenocarcinoma.The risk prediction model developed in this study effectively differentiates between patients at varying levels of risk, which holds significant implications for predicting treatment responses in elderly lung adenocarcinoma patients and advancing the practice of precision medicine.

Animals ; Rats ; Explosions ; Proteomics ; Autophagy

Objective: To assess the effectiveness of online and offline myopia prevention and control health education interventions using wearable behavior monitoring tools for non myopic elementary school students,so as to provide evidence based medical support for public health practices. Methods: From May to June in 2021, two schools were selected within the same county in Jiangsu Province. School 1 conducted online and offline parental health education ( n =111), while school 2 exclusively conducted offline health education activities, representing the traditional intervention group ( n =122). Students from both schools underwent monitoring through wearable behavior tracking tools, with feedback reports provided (eye distance, eye duration, ambient light, and outdoor exposure time). Both schools relied on activities to carry out health education interventions, and organized the distribution of promotional materials and display boards. The intervention group also established WeChat groups to conduct online "Healthy Parents Action" (answering and providing feedback on health knowledge related to myopia prevention and control, myopia prevention and control, science popularization, etc. raised by parents). Evaluation criteria included myopia rates, post dilation refractive error, and axial length, with a tracking period of two years (from 2021 to 2023). Additionally, the study collected refractive parameters from non myopic students who did not participate in wearable tool monitoring in the 12 classes across the two schools. Results: The baseline results indicated that there were no significant differences between the two groups in terms of refractive parameters and wearable tool monitoring results (including screen time, viewing distance, outdoor exposure time, and homework light exposure)( t/Z/χ 2=1.94,1.17,0.58,0.40,0.80,0.69,0.32, P >0.05). After a two-year follow up, in the first and second year, the myopia rate of the online Healthy Parents Action group (11.4%, 29.7%) were lower than that of the traditional group (26.2%, 50.9%), and the degree of refractive change in the intervention group [0.63(0.38,1.19)D] was lower than that of the traditional group [0.91(0.40,1.50)D], and all the differences were statistically significant( χ 2/ Z =4.93，10.37，2.29， P <0.05). However, there were no significant differences ( P >0.05) in axial length changes between the two groups over the twoyear intervention period. Nevertheless, in the second year, the axial length change in the traditional group [0.35(0.20,0.65)mm] was lower than that in the natural observation group [0.55(0.30,0.75)mm], and this difference was statistically significant ( Z =1.92, P <0.05). Conclusions Online and offline myopia prevention and control health education can effectively reduce myopia rates. The intervention mode combining wearable behavior monitoring tools with online health education may have better effects, but further large sample and multi center studies are needed to provide additional evidence and confirmation.

Objective:To investigate the effectiveness of probe-based near-infrared autofluorescence imaging (NIRAF) of the parathyroid gland.Methods:A total of 71 patients with thyroid cancer eligible for admission from May 4, 2023 to May 26, 2023 were selected, including 42 patients with thyroid cancer enrolled in the Department of Thyroid (hernia), Department of General Surgery, PLA General Hospital, including 29 females and 13 males, with a median age of 41 years, ranging from 21 to 76 years. A total of 29 patients with thyroid cancer were enrolled in the Department of Thyroid Surgery of Guangzhou First People’s Hospital, including 22 females and 7 males. The median age was 42.5 years, ranging from 24 to 72 years. The follow-up period was 1 month.Results:Among them, 196 suspicious parathyroid tissues were identified by the naked eye, and 207 suspicious parathyroid tissues were identified by probe NIRAF technology. Naked eye identification sensitivity, specificity and accuracy were 84.86%, 56% and 81.89%. The sensitivity, specificity and accuracy of parathyroid tissue identification by probe NIRAF were 92.66%, 80.00% and 90.53%, which were better than that of naked eye identification, and had a good coincidence rate with the results of immunocolloidal gold test or intraoperative freezing pathology (Kappa=0.61, P<0.001) . Conclusion:The probe-based NIRAF technique has a good ability to identify parathyroid tissue.

Objective:To explore the method of constructing automatic delineation model for clinical target volume (CTV) and partially organs at risk (OAR) of postoperative radiotherapy for prostate cancer based on convolutional neural network, aiming to improve the clinical work efficiency and the unity of target area delineation.Methods:Postoperative CT data of 117 prostate cancer patients manually delineated by one experienced clinician were retrospectively analyzed. A multi-class auto-delineation model was designed based on 3D UNet. Dice similarity coefficient (DSC), 95% Hausdorf distance (95%HD), and average surface distance (ASD) were used to evaluate the segmentation ability of the model. In addition, the segmentation results in the test set were evaluated by two senior physicians. And the CT data of 78 patients treated by other physicians were also collected for external validation of the model. The automatic segmentation of these 78 patients by CTV-UNet model was also evaluated by two physicians.Results:The mean DSC for tumor bed area (CTV1), pelvic lymph node drainage area (CTV2), bladder and rectum of CVT-UNet auto-segmentation model in the test set were 0.74, 0.82, 0.94 and 0.79, respectively. Both physicians' scoring results of the test set and the external validation showed more consensus on the delineation of CTV2 and OAR. However, the consensus of CTV1 delineation was less.Conclusions:The automatic delineation model based on convolutional neural network is feasible for CTV and related OAR of postoperative radiotherapy for prostate cancer. The automatic segmentation ability of tumor bed area still needs to be improved.

Objective:To explore the demand and actual supply of community-based care services for the elderly residents and the factors that affecting care mode for them in the context of rapid urbanization and population aging in China.Methods:Based on the cross-sectional data of the seventh China Longitudinal Survey on Health and Longevity(CLHLS)(2018), 15 854 elderly residents aged 60 and above were selected as the research population.Logistic regression method was used to analyze the patterns of community-based care services and their influencing factors.Results:Among 15 854 elderly residents, 6 912(43.60%)were male and 8 942(56.40%)were female.The results of activities of daily living(ADL)evaluation showed that 11 109 elderly residents could take care of themselves completely, and 3 889 elderly residents were disabled.The disability rate was 25.93%.The proportion of social services that elderly town dwellers expect the community to provide is higher than those living in cities and rural areas in terms of daily care, spiritual care, providing health care knowledge, and dealing with neighborhood disputes.From the perspective of social services actually provided by the community, in addition to providing home-based care, the proportion of community services available to the elderly living in towns and rural areas are similar, but significantly lower than the proportion of social services provided for elderly city dwellers.Age, marital status, residence, cultural differences, health status, source of life and living preference had significant impacts on the choice of care demand patterns.Those of older age( OR=2.29, 95% CI: 1.04-5.03 for 70-79 years old; OR=2.94, 95% CI: 1.38-6.25 for elderly 80 years old or above), having no spouse( OR=3.50, 95% CI: 2.49-4.92), and with higher levels of disability( OR=4.24, 95% CI: 3.12-5.77 for mild disability; OR=7.54, 95% CI: 5.19-10.95 for moderate disability; OR=10.50, 95% CI: 7.59-14.53 for severe disability)are more inclined to choose socialized care. Conclusions:In the process of rapid urbanization in China, the demands for care services of elderly living in towns has increased, but the actual care services provided for them by the communities are yet to be improved.Moreover, elderly town dwellers are still inclined to family care, the same as those of elderly rural dwellers.