ObjectiveWith the development of society and the increasing demand for pregnancy at an advanced age， diminished ovarian reserve （DOR） has attracted wider attention. This disease affects the normal menstruation of women and poses a threat to their mental health. Current research on DOR is still in the initial stage， and advancing research progress in DOR necessitates the construction of effective and clinically relevant animal models. Building on existing literature and integrating the diagnosis criteria of DOR in traditional Chinese medicine （TCM） and Western medicine， this study summarized， analyzed， and evaluated existing models， providing a reference for optimizing DOR animal models. MethodsA retrospective analysis of literature on DOR-related animal models was conducted， and the diagnostic criteria of DOR in TCM and Western medicine were sorted out. By means of evaluation methods of animal models， the clinical relevance of each model to TCM and Western medicine was assessed. ResultsDOR animal models included those based on natural factors， iatrogenic factors， immune factors， metabolic factors， and environmental factors. Among them， the model based on iatrogenic factors， especially models induced by Tripterygium wilfordii preparations， cyclophosphamide， and cisplatin， had a high degree of relevance to both Western medical diseases and TCM syndromes and was confirmed as the optimal modeling method for studying DOR at present. ConclusionThe existing DOR modeling methods mostly have a high degree of clinical relevance to Western medical diseases， while the number of DOR animal models with clear TCM syndromes is very limited. TCM plays an indispensable role in exploring DOR treatment methods. Therefore， the development of DOR animal models related to TCM syndromes should be strengthened， further exploring the potential of TCM and providing strong theoretical support for the application of TCM in DOR treatment.

Objective To assess mid- and long-term outcomes of ascending aortic wrapping (AAW) in adult patients undergoing aortic valve replacement (AVR). Methods We retrospectively analyzed clinical data of adult patients who underwent AVR and AAW in Fuwai Hospital from January 2010 to August 2019. Ascending aorta diameter (AAD) was measured by echocardiography or CT scan preoperatively and postoperatively. Results A total of 33 patients were enrolled, including 23 males and 10 females aged 22-73 (51.06±12.61) years. There was no perioperative death. The mean preoperative, postoperative and follow-up AAD of the patients were (46.06±3.54) mm, (34.55±5.17) mm, and (37.12±5.64) mm, respectively. The differences in the AAD between pre-operation and post-operation, and between pre-operation and the last follow-up were both statistically significant (P<0.05). The median follow-up time was 38.20 (18.80-140.30) months. The median increase rate of diameter was 0.63 (−0.11, 1.36) mm per year after the surgery. The increase rate was >5 mm per year in 1 patient, and >3 mm in another one. Conclusion The mid- and long-term outcomes of AAW in adult patients undergoing AVR are satisfactory and encouraging.

With the extensive application of nuclear technology in industry, agriculture, and medicine, the safety issues associated with neutron radiation have become increasingly prominent. Due to their high penetrability and strong ionization effect, neutrons can cause serious health risks by directly damaging DNA or inducing secondary γ radiation. Therefore, the neutron radiation protection has become a core challenge in radiation protection, especially the research and development of neutron shielding materials. To ensure the safe development of nuclear technology, neutron shielding materials are indispensable and constitute a fundamental core technology for radiation protection. This paper reviews the theory of neutron radiation protection and the research progress of neutron shielding materials, with a focus on the current application status and existing problems of neutron shielding materials. This article also discusses the future development trends. This review aims to provide theoretical support and technical references for the safe application and development of nuclear technology.

Objective: To improve the efficiency and standardization of preoperative anemia diagnosis and treatment by establishing a systematic intelligent management platform for preoperative anemia. Methods: A multidisciplinary collaborative model was adopted to develop a preoperative anemia management system that integrates intelligent early warning, standardized treatment pathways, and quality control. The system utilizes natural language processing technology to automatically capture laboratory data and establish evidence-based medical decision support functions. A pre-post study design was employed to compare changes in preoperative anemia screening rates, preoperative anemia intervention rates, reasonable use of iron supplements, and perioperative red blood cell transfusion rates before and after system implementation. Results: After system implementation, the standardization of anemia diagnosis and treatment significantly improved: 1) Screening effectiveness: The anemia screening rate increased to 50.00% (an increase of 27.24%); 2) Intervention effectiveness: The anemia treatment rate rose to 56.30% (an increase of 14.02%); 3) Treatment standardization: The reasonable use rate of iron supplements increased to 55.33% (an increase of 21.02%); the red blood cell transfusion rate decreased to 18.29% (a decrease of 4.07%), and the amount of red blood cell transfusions was reduced by 291 units. Conclusion: This system achieves full-process management of preoperative anemia through information technology, significantly enhancing the standardization of diagnosis and treatment as well as intervention effectiveness, providing an effective solution for perioperative anemia management.

Objective To establish radioresistant human non-small cell lung cancer NCI-H460R model cells and evaluate the sensitivity of these radioresistant cells to a ferroptosis inducer. Methods Radioresistant cell lines, designated as NCI-H460 R20Gy and NCI-H460 R116Gy, were generated by subjecting parental NCI-H460 cells to fractionated irradiation with varying cumulative doses. Both parental cells and the established radioresistant cell lines were each randomly divided into four groups and exposed to irradiation at 0, 2, 4, and 6 Gy, respectively. Successful establishment of the radioresistant cell lines was confirmed by colony formation assay. Subsequently, cells were treated with increasing concentrations of the ferroptosis inducer RSL-3 to assess differential sensitivity between parental and radioresistant cells to ferroptosis. Results In comparison to the parental NCI-H460 cells (D_0WT=1.2), both NCI-H460 R116Gy and NCI-H460 R20Gy cells exhibited radioresistance, with NCI-H460 R116Gy demonstrating a stronger radioresistance (D_0R116Gy=1.5) than NCI-H460 R20Gy (D_0R20Gy=1.4). Furthermore, NCI-H460 R116Gy cells exhibited increased sensitivity to RSL-3 relative to the parental cells (P < 0.001), while NCI-H460 R20Gy cells did not display a significant difference in sensitivity to RSL-3. Conclusion Human non-small cell lung cancer cells with radioresistance induced by a high cumulative irradiation dose exhibit increased sensitivity to the glutathione peroxidase 4-specific ferroptosis inducer RSL-3. This finding provides an experimental basis for optimizing combined treatment regimens involving radiotherapy and RSL-3 for non-small cell lung cancer patients with radiotherapy resistance.

Objective     To construct a radiomics model for identifying clinical high-risk carotid plaques. Methods     A retrospective analysis was conducted on patients with carotid artery stenosis in China-Japan Friendship Hospital from December 2016 to June 2022. The patients were classified as a clinical high-risk carotid plaque group and a clinical low-risk carotid plaque group according to the occurrence of stroke, transient ischemic attack and other cerebrovascular clinical symptoms within six months. Six machine learning models including eXtreme Gradient Boosting, support vector machine, Gaussian Naive Bayesian, logical regression, K-nearest neighbors and artificial neural network were established. We also constructed a joint predictive model combined with logistic regression analysis of clinical risk factors. Results    Finally 652 patients were collected, including 427 males and 225 females, with an average age of 68.2 years. The results showed that the prediction ability of eXtreme Gradient Boosting was the best among the six machine learning models, and the area under the curve (AUC) in validation dataset was 0.751. At the same time, the AUC of eXtreme Gradient Boosting joint prediction model established by clinical data and carotid artery imaging data validation dataset was 0.823. Conclusion     Radiomics features combined with clinical feature model can effectively identify clinical high-risk carotid plaques.

Humans ; Nephrotic Syndrome ; Hematopoietic Stem Cell Transplantation ; Tissue Donors ; Transplantation Conditioning ; Graft vs Host Disease

Objective To investigate the expression of lncRNA SNHG8 in placenta accrete(PA)and its effect on trophoblast invasion and migration.Methods qRT-PCR was used to detect the expression of lncRNA SNHG8 in placenta tissue of 30 cases in PA group and 30 cases in control group,and the correlation between lncRNA SNHG8 expression and prenatal ultrasound score of 30 cases in PA group was analyzed.Transwell and scratch assay were used to detect the effect of lncRNA SNHG8 interference on the invasion and migration of human chorionic trophoblast cells(HTR8/SVneo cells),and western blot was used to detect the expression of MMP-2 and MMP-9.The downstream targets of lncRNA SNHG8 were predicted by StarBase software,and the expression of lncRNA SNHG8 was detected in placental tissues of the two groups.Dual luciferase reporter assay was used to detect the targeting relationship between lncRNA SNHG8 and miR-542-3p.Results Compared with that of the control group,the expression of lncRNA SNHG8 was up-regulated in the placenta tissue of the PA group(P<0.05),and it was positively correlated with prenatal ultrasound score.Interference with lncRNA SNHG8 inhibited the invasion and migration of trophoblast cells(P<0.05);the protein expression of MMP-9 and MMP-2 also decreased signifi-cantly(P<0.05).Biological prediction indicates that miR-542-3p had a binding site with lncRNA SNHG8,and miR-542-3p expression was down-regulated in PA placental tissue(P<0.05).Dual luciferase reporter assay confirmed that lncRNA SNHG8 could target miR-542-3p.Compared with si-SNHG8+inhibitor-NC,co-transfection of si-SNHG8 and miR-542-3p inhibitor enhanced the invasion and migration ability of trophoblast cells(P<0.05).Conclusion lncRNA SNHG8 is highly expressed in PA and is related to the severity of PA.LncRNA SNHG8 promotes the invasion and migration of trophoblast by regulating the level of miR-542-3p.The study suggests that lncRNA SNHG8 plays an important role in the invasion and migration of PA trophoblast cells,which is expected to be a clinical diagnostic biomarker and therapeutic target.

Objective To analyze the short-term clinical efficacy and influencing factors of ustekinumab monoclonal antibody(UST)in the treatment of Crohn′s disease(CD).Methods Retrospective cohort study was used to collect the clinical data of CD patients treated with UST in the 10th People′s Hospital affiliated to Tongji University from December 2020 to October 2022.The main analysis is the short-term clinical efficacy and influencing factors of UST treatment for CD at weeks 8 and 16,And analyze the endoscopic response rate of some patients.Results A total of 91 CD patients who first used UST were included.The 8-week clinical response rate of UST treat-ment for CD was 61.5%,and the clinical response rate was 45%;The clinical response rate at 16 weeks was 71.4%,and the clinical response rate was 54.9%.56 cases underwent endoscopic re-examination in our hospital,and the endoscopic response rate at 16 weeks was 41.1%.Univariate analysis showed that fistula(including anal fistula,personal history of anal fistula,and intestinal skin fistula)is associated with clinical remission in Crohn′s disease patients at 8/16 weeks.Further multivariate COX regression analysis showed that the presence of a history of anal fistula surgery was an independent protective factor affecting clinical remission in CD patients treated with UST at 8 weeks(HR = 0.04,95%CI:0.00～0.38;P = 0.005)and 16 weeks(HR = 0.04,95%CI:0.01～0.34;P = 0.003)compared to those without fistula;Narrow lesions are an independent risk factor for 16 week clinical remission in CD patients compared to non-narrow and non-penetrating lesions(HR = 1.75,95%CI:1.08～2.84;P = 0.023).No patients were found to have stopped medication due to serious adverse reactions.Conclusions UST can improve the clinical remission and response of CD patients at 8/16 weeks,and has good short-term clinical efficacy.CD patients with a personal history of anal fistula are recommended to use UST monoclonal antibodies,while patients with stenotic lesions should be cautious in using UST monoclonal antibodies.Whether the patient has undergone surgical treatment in the past,as well as whether UST has been used on the first or non-first line,has no significant impact on clinical remission.

Objective:By analyzing the cost change trend,internal structure change and main influencing factors of diabetes inpatients'hospitalization expenses,it provides empirical basis for promoting the reform of medical service prices,optimizing the internal structure of hospitalization expenses,effectively controlling hospitalization expenses,and reducing the economic burden of diabetes inpatients.Methods:Using the first page data of medical records of 13 426 diabetes inpatients in the target hospital from 2017 to 2021,it analyzes the structural change of diabetes inpatients'hospitalization expenses by using structural change degree and grey correlation degree methods,and analyzes the influencing factors of hospitalization expenses by using linear regression and BP neural network model.Results:Drug expenses and medical technology expenses are the top two in the proportion of total hospitalization expenses of discharged patients with diabetes,and they account for a large proportion in the total hospitalization expenses.The results of structural change and grey correlation show that drug expenses and medical technology expenses are these two factors that cause changes in the total hospitalization cost structure and have a high correlation with the total hospitalization cost,with a cumulative contribution rate of 90.50％.According to the results of linear regression and neural network model,the length of stay is the most important factor affecting the total cost of hospitalization of diabetes patients,followed by the number of operations/procedures and diagnoses.Conclusion:The internal composition of hospitalization expenses for diabetes patients is unreasonable.The proportion of drug expenses and medical technology expenses is too high.The proportion of medical and nursing expenses reflecting the technical labor value of medical personnel is relatively low.The structure of medical income needs to be further optimized.The length of stay is the most critical factor affecting the hospitalization expenses of diabetes patients.Reasonable control of the length of stay can effectively control the unreasonable growth of medical expenses and reduce the economic burden of diabetes patients.