ObjectiveBased on the conjoint analysis of transcriptome and metabolome， the key genes in the phenylpropanoid biosynthesis pathway of Lonicera macranthoides were explored， which provided a basis for further exploring the synthesis and regulation mechanism of phenylpropanoid compounds in "Xianglei" L. macranthoides. MethodsThe stem， leaves， and three flowering flowers of "Xianglei" L. macranthoides were selected as experimental materials to construct transcriptome and metabolome. The transcriptome and metabolomics were conjointly analyzed by the Kyoto Encyclopedia of Genes and Genomes （KEGG） database and weighted correlation network analysis （WGCNA）， and the key genes in the phenylpropanoid biosynthesis pathway of L. macranthoides were explored. ResultsIn this study， 77 differential phenylpropanoids and 315 differential genes were found. Through the joint analysis of transcription and metabolism， nine key differential metabolites and four key genes related to them were finally discovered. Among them， cinnamic acid， 5-O-caffeoylshikimic acid，sinapyl alcohol， and chlorogenic acid were higher in flowers， and the content of the iconic effective component， namely chlorogenic acid，decreased sharply during the withering period. Caffeic acid，ferulic acid， 5-hydroxyconiferaldehyde，p-coumaryl alcohol， and syringin were higher in leaves. These four key genes belong to the cinnamic alcohol dehydrogenase （CAD） family， 4-coumaric acid： Coenzyme A （4CL） family， hydroxycinnamyl transferase （HCT） family， and L-phenylalanine ammonlyase （PAL） family genes. ConclusionAmong the four key genes excavated from L. macranthoides， TRINITY_DN42767_c0_g6 is related to the synthesis of p-coumaryl alcohol and sinapyl alcohol. TRINITY_DN43525_c4_g1 uses caffeic acid，ferulic acid，and cinnamic acid as substrates to catalyze the next reaction. TRINITY_DN47958_c3_g4 correlates with the synthesis of 3-p-coumaroyl quinic acid and caffeoyl-CoA， and TRINITY_DN52595_c1_g2 correlates with cinnamic acid synthesis. These findings provide a basis for further exploring the synthesis and regulation mechanism of phenylpropanoids in "Xianglei" L. macranthoides.

Recent years have witnessed significant advancements in myopia control research through the application of diffuse optical technology(DOT)spectacle lenses. Myopia has emerged as a global public health challenge, affecting nearly half of the world's population, with childhood and adolescent myopia rates continuing to rise. DOT lenses represent an innovative myopia control intervention based on retinal contrast signal theory. These lenses incorporate micro-light scattering dots distributed across the lens surface to reduce retinal imaging contrast and modulate the influence of visual input on axial elongation, thereby slowing myopia progression. The core mechanism operates through refractive index differences between the lens substrate(1.53)and scattering dots(1.50), which generate optical scattering effects. This design maintains clear vision through a central 5 mm optical zone while effectively reducing contrast signal intensity in the peripheral retina. Large-scale randomized controlled trials, including the CYPRESS study, have demonstrated significant myopia control efficacy in children aged 6-10 years: 12-month follow-up data revealed a 74% reduction in myopia progression and a 50% reduction in axial elongation, with sustained safety and visual quality maintained over 4-year long-term follow-up. However, several aspects of DOT technology remain contentious and require further clinical validation, including its applicability across different age groups, optimal scattering dot density configurations, combined application effects with other myopia control methods, and long-term visual adaptation during extended use. This review systematically examines the theoretical foundations, design characteristics, clinical application progress, and future development directions of DOT technology, providing scientific evidence for clinical myopia prevention and control strategy formulation.

Objective To investigate the changes of blood lipid and glycosylated hemoglobin (HbA1c) levels in obese type 2 diabetes (T2DM) patients and their relationship with insulin resistance (Homa-IR). Methods A total of 120 cases of T2DM newly diagnosed in Motuo County, Tibet from February to October 2022 were selected as the observation group. According to BMI, the patients were divided into diabetes normal weight group (46 cases), overweight group (43 cases) and obesity group (31 cases); 145 healthy subjects were selected as the control group. The levels of HbA1c, fasting blood glucose (FPG), fasting insulin (FINS), serum total cholesterol (TC), triglycerides (TG), high-density lipoprotein (HDL-C), and low-density lipoprotein (LDL-C) were detected in the study subjects, and Homa-IR and Homa-β indices were calculated. The height, weight, and abdominal circumference were measured. The differences in the levels of the above indicators between the observation group patients and the control group, as well as among various subgroups within the observation group were compared. The influencing factors of Homa-IR in obese T2DM patients were analyzed. Results Compared with the control group, a significant increase in BMI, abdominal circumference, blood pressure, HbA1c, FBG, FINS, TC, TG, LDL-C, UA, visceral fat area, and the levels of Home-IR and Home-β was found in the observation group (all P<0.05). There were significant differences in BMI, abdominal circumference, and the levels of FINS, Homa IR, Homa-β, and HbA1c in diabetes patients with different BMI (all P<0.05). Correlation analysis showed that TG levels in obese T2DM patients in the observation group were significantly correlated with HbA1c (r=0.396, P=0.027), Homa-IR (r=0.405, P=0.024), and Home-β (r=-0.401, P=0.025); LDL-C was significantly correlated with Homa-IR (r=0.411, P=0.022) and Homa-β (r=-0.412, P=0.021); HbA1c was significantly positively correlated with BMI (r=0.371, P=0.040). Conclusion Insulin resistance is closely related to TG, LDL-C, and BMI in obese T2DM patients from the Motuo ethnic minority of Tibet, suggesting that these factors may play a role in the occurrence of T2DM.

【Objective】 To generate reference values for inspiratory muscle of preschool children in Nanjing, so as to provide a reference index for evaluating children′s lung function and exercise performance. 【Methods】 A total of 236 preschool children were selected from the main urban area of Nanjing by stratified cluster sampling.The inspiratory muscles were evaluated by breath link respiratory function evaluation system to obtain the maximum inspiratory pressure (MIP) and inspiratory peak flow rate.Pearson analysis was used to determine the correlation of MIP and inspiratory peak flow rate with gender, age, height and weight.Multiple linear stepwise regression analysis was used to obtain the formula of MIP and inspiratory peak flow rate. 【Results】 Differences in MIP and peak inspiratory flow rate were not significant between boys and girls (P>0.05), but were statistically significant among different age groups and showed an increasing trend with age (F=13.660, 33.581, P<0.001).MIP and peak inspiratory flow rate were positively correlated with children′s age, height and weight (P<0.001).The regression model, proved to be statistically significant(F=12.913、22.398, P<0.08), indicated that height was the best predictor of MIP and age was the best predictor of inspiratory peak flow rate. 【Conclusions】 This study is the first study on the predicted value of inspiratory muscle in preschool children in China.The predicted value formula can provide a reference for clinical inspiratory muscle evaluation.

Objective:To summarize the best evidence for the management of ovarian hyperstimulation syndrome in patients undergoing assisted reproductive therapy.Methods:Evidence related to the management of ovarian hyperstimulation syndrome in patients undergoing assisted reproductive therapy,including guidelines,clinical decision,best clinical practice,systematic evaluation,expert consensus and evidence summary and related original research were systematically searched in UpToDate,BMJ Best Practice,World Health Organization(WHO)website,Guidelines International Network(GIN),National Institute for Health and Clinical Excellence(NICE)website,National Guidelines website,American Society for Reproductive Medicine(ASRM)website,New York Academy of Sciences(NYAS)website,Joanna Briggs Institute(JBI)database,Cochrane Library,CINAHL,PubMed,Wanfang database,CNKI,and China Biomedical Literature Database from inception to May 31,2024.Two researchers independently evaluated the quality of the literature,and a senior researcher made the final decision for literature inclusion.Results:A total of 15 articles were included in the study.Following quality assessment,one article was excluded.The remaining 14 articles included 5 practice guidelines,3 systematic reviews,2 expert consensuses,1 evidence summary,and 3 from UpToDate.Ultimately,27 pieces of evidence were identified across five key aspects:risk assessment,disease monitoring,early prevention,institutional management and health education.Conclusion:The updated evidence indicates that the monitoring and prevention of ovarian hyperstimulation syndrome should start early,personalized treatment plans should be provided for patients,and the rational allocation of treatment resources needs to be promoted to enhance effective management of ovarian hyper-stimulation syndrome.

A case of secondary Burkitt lymphoma of prostate was reported. A 39-year-old patient was admitted to the hospital with no apparent cause for impaired urination with frequent/urgent urination. CT scan of the whole abdomen showed irregular soft tissue mass of the prostate, involving the bladder and rectum, and mild obstructive hydronephrosis of the renal pelvis and ureter. Biopsy of the prostatic mass was performed, and the pathological findings were consistent with Burkitt lymphoma. PET-CT examination showed multiple lesions and lymph node enlargement throughout the body, secondary prostate lymphoma was diagnosed. After diagnosis, the patient was treated with R-DA-EPOCH chemotherapy and followed up for 9 months. Prostate lymphoma is rare and needs to be combined with clinical manifestations and laboratory tests to determine whether it is primary or secondary, but also to distinguish from prostate diseases such as prostatitis and poorly differentiated prostate cancer.

Purpose: Gastric cancer (GC) is among the deadliest malignancies and the third leading cause of cancer-related deaths worldwide. Galectin-1 (Gal-1) is a primary protein secreted by cancer-associated fibroblasts (CAFs); however, its role and mechanisms of action of Gal-1 in GC remain unclear. In this study, we stimulated GC cells with exogenous human recombinant galectin-1 protein (rhGal-1) to investigate its effects on the proliferation, migration, and resistance to cisplatin. Materials and Methods: We used simulated rhGal-1 protein as a paracrine factor produced by CAFs to induce GC cells and investigated its promotional effects and mechanisms in GC progression and cisplatin resistance. Immunohistochemical (IHC) assay confirmed that Gal-1 expression was associated with clinicopathological parameters and correlated with the expression of neuropilin-1 (NRP-1), c-JUN, and Wee1. Results: Our study reveals Gal-1 expression was significantly associated with poor outcomes.Gal-1 boosts the proliferation and metastasis of GC cells by activating the NRP-1/C-JUN/ Wee1 pathway. Gal-1 notably increases GC cell resistance to cisplatin The NRP-1 inhibitor, EG00229, effectively counteracts these effects. Conclusions These findings revealed a potential mechanism by which Gal-1 promotes GC growth and contributes to chemoresistance, offering new therapeutic targets for the treatment of GC.

Humans ; Asthma/drug therapy* ; Biological Therapy

Neoadjuvant chemotherapy has become an indispensable weapon against high-risk resectable cancers, which benefits from tumor downstaging. However, the utility of chemotherapeutics alone as a neoadjuvant agent is incapable of generating durable therapeutic benefits to prevent postsurgical tumor metastasis and recurrence. Herein, a tactical nanomissile (TALE), equipped with a guidance system (PD-L1 monoclonal antibody), ammunition (mitoxantrone, Mit), and projectile bodies (tertiary amines modified azobenzene derivatives), is designed as a neoadjuvant chemo-immunotherapy setting, which aims at targeting tumor cells, and fast-releasing Mit owing to the intracellular azoreductase, thereby inducing immunogenic tumor cells death, and forming an in situ tumor vaccine containing damage-associated molecular patterns and multiple tumor antigen epitopes to mobilize the immune system. The formed in situ tumor vaccine can recruit and activate antigen-presenting cells, and ultimately increase the infiltration of CD8⁺ T cells while reversing the immunosuppression microenvironment. Moreover, this approach provokes a robust systemic immune response and immunological memory, as evidenced by preventing 83.3% of mice from postsurgical metastasis or recurrence in the B16-F10 tumor mouse model. Collectively, our results highlight the potential of TALE as a neoadjuvant chemo-immunotherapy paradigm that can not only debulk tumors but generate a long-term immunosurveillance to maximize the durable benefits of neoadjuvant chemotherapy.

Objective:To evaluate artificial intelligence constructed by deep convolutional neural network (DCNN) for the site identification in upper gastrointestinal endoscopy.Methods:A total of 21 310 images of esophagogastroduodenoscopy from the Cancer Hospital of Chinese Academy of Medical Sciences from January 2019 to June 2021 were collected. A total of 19 191 images of them were used to construct site identification model, and the remaining 2 119 images were used for verification. The performance differences of two models constructed by DCCN in the identification of 30 sites of the upper digestive tract were compared. One model was the traditional ResNetV2 model constructed by Inception-ResNetV2 (ResNetV2), the other was a hybrid neural network RESENet model constructed by Inception-ResNetV2 and Squeeze-Excitation Networks (RESENet). The main indices were the accuracy, the sensitivity, the specificity, positive predictive value (PPV) and negative predictive value (NPV).Results:The accuracy, the sensitivity, the specificity, PPV and NPV of ResNetV2 model in the identification of 30 sites of the upper digestive tract were 94.62%-99.10%, 30.61%-100.00%, 96.07%-99.56%, 42.26%-86.44% and 97.13%-99.75%, respectively. The corresponding values of RESENet model were 98.08%-99.95%, 92.86%-100.00%, 98.51%-100.00%, 74.51%-100.00% and 98.85%-100.00%, respectively. The mean accuracy, mean sensitivity, mean specificity, mean PPV and mean NPV of ResNetV2 model were 97.60%, 75.58%, 98.75%, 63.44% and 98.76%, respectively. The corresponding values of RESENet model were 99.34% ( P<0.001), 99.57% ( P<0.001), 99.66% ( P<0.001), 90.20% ( P<0.001) and 99.66% ( P<0.001). Conclusion:Compared with the traditional ResNetV2 model, the artificial intelligence-assisted site identification model constructed by RESENNet, a hybrid neural network, shows significantly improved performance. This model can be used to monitor the integrity of the esophagogastroduodenoscopic procedures and is expected to become an important assistant for standardizing and improving quality of the procedures, as well as an significant tool for quality control of esophagogastroduodenoscopy.