Obesity， a global chronic disease， is associated with adipose tissue dysfunction， which is one of the contributing factors to obesity. The cyclic adenosine monophosphate （cAMP） signaling pathway， a key regulator of lipid metabolism， plays a pivotal role in obesity development. Various of traditional Chinese medicine monomers， such as flavonoids， lignans， phenols， and terpenoids， as well as traditional Chinese medicine compound formulas like Xiaoyao powder， Shengmai powder， and Zexie decoction， can maintain energy homeostasis， balance adipose tissue function， regulate glucose metabolism， improve insulin resistance， and suppress inflammatory responses through cAMP signaling pathway regulation， thereby intervening in lipid metabolism for obesity treatment. Although a substantial amount of basic research has preliminarily elucidated the potential mechanisms by which traditional Chinese medicine intervenes in obesity through the cAMP signaling pathway， clinical translational research remains inadequate. There is an urgent need for large-sample， high-quality randomized controlled trials to validate these findings.

AIM:To investigate the effect of ranibizumab on blood flow density in different regions of the macula in patients with macular edema(ME)secondary to ischemic and non-ischemic branch retinal vein occlusion(BRVO).METHODS:This retrospective study enrolled patients with BRVO-ME who were treated at the hospital from September 2019 to March 2021. Patients were divided into ischemic and non-ischemic groups based on fundus findings. All patients received intravitreal injections of ranibizumab once monthly for three consecutive months. Best corrected visual acuity(BCVA), central macular thickness(CMT), and macular blood flow density were measured before treatment and at 1 d, 1 wk, 1 and 3 mo after treatment.RESULTS: A total of 46 patients(46 eyes)with BRVO-ME were included, comprising 21 eyes in the ischemic group(7 males, 14 females; mean age 55.81±10.36 y)and 25 eyes in the non-ischemic group(11 males, 14 females; mean age 54.84±9.81 y). At 3 mo after treatment, BCVA(LogMAR)in the non-ischemic group was superior to that in the ischemic group(0.19±0.19 vs 0.38±0.27, P=0.009). Analysis of CMT changes showed that the reduction amplitude in the ischemic group was significantly greater than that in the non-ischemic group at both 1 and 3 mo after treatment(all P<0.05). Blood flow densities in the whole, parafoveal, and perifoveal regions of the superficial capillary plexus(SCP), as well as in the whole and perifoveal regions of the deep capillary plexus(DCP), were significantly lower in ischemic patients than in non-ischemic patients, while blood flow density in the foveal region of DCP was significantly higher in the ischemic group(all P<0.05).CONCLUSION: Ranibizumab is effective for both types of patients. Non-ischemic patients have a better long-term visual prognosis, and the advantage may be related to better blood flow perfusion patterns in specific areas 3 mo after treatment. Monitoring changes in blood flow density in these areas can help provide personalized treatment for patients.

To investigate the clinical characteristics and prognosis of extracranial malignant rhabdoid tumor (eMRT) in children, and to provide a reference for the clinical treatment of this disease.

ObjectiveTo explore the clinical efficacy of oral administration of modified Tuoli Xiaodusan on postoperative patients with perianal abscess， and its effects on related inflammatory factors and signal transducers and activators of transcription protein 3 （STAT3）/vascular endothelial growth factor （VEGF） signaling pathways. MethodsFrom January 2023 to December 2023 in Inner Mongolia hospital of traditional Chinese medicine， 60 postoperative patients with perianal abscess who met the inclusion criteria were selected. They were divided into a treatment group and a control group using the random number table method， with 30 cases in each group. The control group received conventional treatment， while the treatment group received additional treatment with modified Tuoli Xiaodusan on the basis of the control group. The course of treatment in both groups was three weeks. On the day of operation and on the 7^th， 14^th and 21^st day after operation， enzyme-linked immunosorbent assay （ELISA） was used to measure the expression levels of serum interleukin-1β （IL-1β）， interleukin-6 （IL-6）， and tumor necrosis factor-α （TNF-α）. Hematoxylin eosin （HE） staining was used to observe the pathological morphology of pathological tissue. Western blot was used to measure the levels of phosphorylated STAT3 （p-STAT3） and vascular endothelial growth factor （VEGF） proteins， and real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） was used to determine the expression level of VEGF mRNA. The clinical efficacy of the two groups was compared according to the wound pain， secretion volume score， and healing rate of patients on the 3^rd， 7^th， 14^th， and 21^st day after operation. ResultsThe total effective rate of the treatment group was higher than that of the control group （P<0.05）. For intra-group comparison， the pain score of the control group decreased at each time period （P<0.05）， and the healing rate increased （P<0.05）. The secretion volume score decreased on the 14^th and 21^st days after operation （P<0.05）. The pain score and secretion volume score of the treatment group decreased at each time period （P<0.05）， and the healing rate increased （P<0.05）. The levels of various inflammatory factors decreased in both groups （P<0.05）. Compared with those on the surgical day， the levels of p-STAT3 and VEGF proteins in the wound tissue of the two groups were different on the 7^th and 21^st days after operation （P<0.05）. There were significant differences in VEGF mRNA levels in wound tissue between the two groups at each time period （P<0.01）. For inter-group comparison， on the 7^th and 14^th days after operation， the pain score in the treatment group was lower than that in the control group. On the 7^th， 14^th and 21^st days after operation， the secretion volume scores and healing rate of the treatment group were better than those of the control group （P<0.05）. The levels of various inflammatory factors in the treatment group were lower than those in the control group （P<0.05）， and the decline rate was faster （P<0.05）. On the 7^th day after operation， the levels of p-STAT3， VEGF protein， and VEGF mRNA in the wound tissue of the treatment group were higher than those in the control group （P<0.05）. HE staining showed that the inflammatory cell infiltration in the treatment group decreased faster. The cell arrangement was more orderly， and new blood vessel lumens were visible. There were no abnormalities in the safety observation indexes of all patients during the study period. ConclusionModified Tuoli Xiaodusan can relieve wound pain after perianal abscess surgery， reduce secretions， and improve wound healing rate. The mechanism may be reducing the levels of serum IL-1β， IL-6， and TNF-α， reducing the inflammatory response of the wound， upregulating the expression of p-STAT3 and VEGF proteins， and stimulating the STAT3/VEGF signaling pathway， thereby accelerating angiogenesis and promoting wound healing.

Pancreatic cancer is a highly malignant solid tumor of the digestive system with extremely poor treatment prognosis. Although its incidence rate is low， its mortality rate is extremely high. In recent years， the number of diagnosed cases worldwide has continued to rise， making pancreatic cancer the sixth leading cause of cancer-related deaths globally. Currently， clinical treatment primarily relies on operation and chemotherapy to suppress tumors. However， these approaches face challenges such as suboptimal efficacy， high postoperative recurrence rates， and severe adverse reactions. Therefore， identifying safe and effective treatment modalities remains a pressing challenge for the medical community. In recent years， research on traditional Chinese medicine （TCM） interventions for pancreatic cancer has increased significantly. Multiple studies have shown that single-herb TCM， TCM formulas， and their derived single compounds can regulate the levels of tumor cell signaling pathways through multiple action targets. They inhibit the development and progression of pancreatic cancer by inhibiting cancer cell proliferation， promoting cell apoptosis， inhibiting tumor angiogenesis， reducing cancer cell invasion and migration capabilities， regulating the cell cycle， and modulating the tumor microenvironment. Additionally， TCM has the advantages of significantly enhancing the anticancer efficacy of chemotherapy drugs and causing fewer adverse reactions. However， the specific action mechanisms by which TCM intervenes in pancreatic cancer remain unclear. Further extensive research is still needed to validate the role of regulating classical signaling pathways such as phosphoinositide 3-kinase （PI3K）/protein kinase B （Akt）/mammalian target of rapamycin （mTOR）， Wnt/β-catenin， nuclear transcription factor-κB （NF-κB）， notch， and hedgehog in the treatment of pancreatic cancer. Therefore， this paper reviewed Chinese and international studies on TCM intervention in pancreatic cancer through relevant signaling pathways in recent years， summarized the potential action mechanisms of TCM in the treatment of pancreatic cancer， and provided references for related research in the future.

Objective To gain insights into the biological characteristics of different populations of Culex tritaeniorhynchus within and around the Yellow Sea wetland from the perspective of the occurrence of resistance, we investigated the levels of resistance to deltamethrin and kdr gene mutation in the wetland and its peripheral areas. Methods Specimens were collected from Cx. tritaeniorhynchus populations at two monitoring sites in the Rare Bird National Nature Reserve and Tiaozi Ni Wetland Scenic Area, and also from two populations in Yancheng City and the Liuhe District of Nanjing, and the resistance of these mosquitoes to deltamethrin was determined using the CDC biotest bottle method. For each concentration of deltamethrin assessed, a random subset of exposed specimens was selected for amplification of the kdr gene fragment, followed by Sanger sequencing to identify and analyze resistance-associated mutations. Results The LC50 levels of deltamethrin among mosquitoes from the four populations in Luhe, Yancheng, the Rare Bird National Nature Reserve and the Tiaozi Ni Wetland Scenic Area were 2.048 5, 7.798 2, 3.473 3, and 17.695 5 mg/mL, respectively, with corresponding concentrations of deltamethrin ranging from 0.005 to 5.000,0.050 to 50.000,0.050 to 25.000 and 0.050 to 50.000 mg/mL, respectively. Furthermore, the ranges of the KT50 values were 11.76-107.43, 67.05-216.30,29.77-107.43 and 28.40-329.51 min; the 1-h knockdown rates were 34.58%-99.15%, 9.52%-43.80%, 55.09%-73.01%, and 10.09%-68.07%; and the 24-h mortality rates were 12.15%-67.52%,9.52%-79.56%,13.17%-82.21%, and 11.01%-78.99%, respectively. With respect to kdr gene mutation, we assayed a total of 63,70,59, and 57 mosquitoes for the four populations, for which we detected L1014F mutation frequencies of 14.29%, 35.00%, 20.34%, and 31.58%, respectively, with a majority of these mutations being heterozygous for resistance. In addition, five adult mosquitoes were identified has having synonymous mutations at site 1011[i. e. , AAT(asparagine)mutation to AAC(asparagine)]. Conclusions Our findings revealed the clear resistance of Cx. tritaeniorhynchus to deltamethrin in the Yancheng region of the Yellow Sea wetland, and the resistance phenotype and kdr frequency of Cx. tritaeniorhynchus in the wetland environment were comparable to those of Cx. tritaeniorhynchus in the wetland environment, thereby indicating that the resistance of different populations of Cx. tritaeniorhynchus was homogeneous under the pressure of different insecticide selection within and around the wetland. However, the underlying mechanisms need to be further studied.

Objective To evaluate the application value of artificial intelligence (AI) in the quality control of mammographic images and explore its feasibility for improving image quality. Methods A retrospective analysis was conducted on 500 mammographic images from 125 female patients. These images were acquired in December 2024 at the Department of Radiology, Obstetrics and Gynecology Hospital of Tongji University by two junior technologists with qualification certificate for junior radiologic technologists and ≤ 2 months of independent operation. The reference standard was the evaluation by a panel of senior experts comprising one associate chief radiologist and two intermediate radiologic technologists with over 10 years of experience in mammography. The evaluation was based on nine criteria within an AI quality control system. The correlation and consistency (Kappa test) of the assessment outcomes were compared among the junior technologist group, the AI quality control group, and the panel group. Additionally, the differences in the proportions of high-, medium-, and low-quality images rated by the three groups were analyzed. After one month of AI assistance, 200 images from 50 additional patients acquired by the same two junior technologists in January 2025 were collected. The area under the receiver operating characteristic curve and 95% confidence interval (95%CI) were calculated for the assessment performance of the junior technologist group before and after AI assistance. Differences were compared using the DeLong test. Changes in the disqualification rates for the nine criteria were analyzed. Results In consistency analysis, the AI quality control group showed high consistency with the panel group across multiple key criteria, with Kappa values ranging from 0.41 to 1.00. In contrast, the consistency between the junior technologist group and the panel group was generally low, with Kappa values ranging from 0.13 to 0.49. In comparison of image quality classification, no significant differences were observed in image quality classification between the AI group and the panel group (P>0.05). However, the proportion of images rated as high quality by the junior technologist group was significantly higher, while the proportions rated as medium and low quality were significantly lower, compared to those rated by the panel group (P<0.05). After AI assistance, the area under the receiver operating characteristic curve for the assessment performance of junior technologist group increased significantly from 0.56 (95%CI: 0.51-0.61) to 0.91 (95%CI: 0.87-0.94) (P<0.001). The disqualification rates for skin folds, incomplete inclusion of the pectoralis major muscle, and nipple not in profile decreased significantly. Conclusion AI demonstrates assessment capability comparable to the panel group in mammographic quality control. AI effectively enhances the quality of images acquired by junior technologists through real-time, objective feedback.

Radiotherapy is a cornerstone in the treatment of malignant tumors. It induces DNA damage through high-energy radiation, preferentially eliminating rapidly proliferating tumor cells. However, its clinical efficacy is often limited by tumor radioresistance and collateral damage to normal tissues. Consequently, elucidating the cellular response mechanisms to radiation stress and identifying key targets that can both sensitize tumor cells and protect normal tissues have become critical strategies for improving radiotherapy outcomes. Radiation stress triggers structural remodeling of the nucleolus, leading to the dissociation of certain ribosomal proteins from the ribosome and enabling them to acquire extra-ribosomal functions. Among these, RPL11 can be released and specifically binds to MDM2, thus inhibiting its E3 ubiquitin ligase activity, stabilizing p53, and mediating cell cycle arrest and apoptosis. The RPL11-MDM2-p53 pathway, acting as a signaling hub that links nucleolar dysfunction to cell fate determination, plays a pivotal role in maintaining genomic stability and regulating cellular responses to radiation. This review first introduces the basic characteristics of RPL11 and elucidates the molecular basis of radiation-induced ribosomal stress. It then outlines the core regulatory mechanisms of the cell cycle. On this basis, it focuses on the mechanisms by which radiation-induced RPL11 regulates the cell cycle and analyzes the specific effects of RPL11 on cell cycle. Furthermore, it discusses the role of the RPL11-MDM2-p53 pathway in cell cycle regulation. Finally, it explores the role of this pathway in maintaining genomic stability and determining cell fate, and highlights its potential value as a target for radiosensitization, aiming to provide new perspectives for enhancing tumor radiosensitivity and reducing damage to normal tissues.

Objective To evaluate the application value of artificial intelligence (AI) in the quality control of mammographic images and explore its feasibility for improving image quality. Methods A retrospective analysis was conducted on 500 mammographic images from 125 female patients. These images were acquired in December 2024 at the Department of Radiology, Obstetrics and Gynecology Hospital of Tongji University by two junior technologists with qualification certificate for junior radiologic technologists and ≤ 2 months of independent operation. The reference standard was the evaluation by a panel of senior experts comprising one associate chief radiologist and two intermediate radiologic technologists with over 10 years of experience in mammography. The evaluation was based on nine criteria within an AI quality control system. The correlation and consistency (Kappa test) of the assessment outcomes were compared among the junior technologist group, the AI quality control group, and the panel group. Additionally, the differences in the proportions of high-, medium-, and low-quality images rated by the three groups were analyzed. After one month of AI assistance, 200 images from 50 additional patients acquired by the same two junior technologists in January 2025 were collected. The area under the receiver operating characteristic curve and 95% confidence interval (95%CI) were calculated for the assessment performance of the junior technologist group before and after AI assistance. Differences were compared using the DeLong test. Changes in the disqualification rates for the nine criteria were analyzed. Results In consistency analysis, the AI quality control group showed high consistency with the panel group across multiple key criteria, with Kappa values ranging from 0.41 to 1.00. In contrast, the consistency between the junior technologist group and the panel group was generally low, with Kappa values ranging from 0.13 to 0.49. In comparison of image quality classification, no significant differences were observed in image quality classification between the AI group and the panel group (P>0.05). However, the proportion of images rated as high quality by the junior technologist group was significantly higher, while the proportions rated as medium and low quality were significantly lower, compared to those rated by the panel group (P<0.05). After AI assistance, the area under the receiver operating characteristic curve for the assessment performance of junior technologist group increased significantly from 0.56 (95%CI: 0.51-0.61) to 0.91 (95%CI: 0.87-0.94) (P<0.001). The disqualification rates for skin folds, incomplete inclusion of the pectoralis major muscle, and nipple not in profile decreased significantly. Conclusion AI demonstrates assessment capability comparable to the panel group in mammographic quality control. AI effectively enhances the quality of images acquired by junior technologists through real-time, objective feedback.

Radiotherapy is a cornerstone in the treatment of malignant tumors. It induces DNA damage through high-energy radiation, preferentially eliminating rapidly proliferating tumor cells. However, its clinical efficacy is often limited by tumor radioresistance and collateral damage to normal tissues. Consequently, elucidating the cellular response mechanisms to radiation stress and identifying key targets that can both sensitize tumor cells and protect normal tissues have become critical strategies for improving radiotherapy outcomes. Radiation stress triggers structural remodeling of the nucleolus, leading to the dissociation of certain ribosomal proteins from the ribosome and enabling them to acquire extra-ribosomal functions. Among these, RPL11 can be released and specifically binds to MDM2, thus inhibiting its E3 ubiquitin ligase activity, stabilizing p53, and mediating cell cycle arrest and apoptosis. The RPL11-MDM2-p53 pathway, acting as a signaling hub that links nucleolar dysfunction to cell fate determination, plays a pivotal role in maintaining genomic stability and regulating cellular responses to radiation. This review first introduces the basic characteristics of RPL11 and elucidates the molecular basis of radiation-induced ribosomal stress. It then outlines the core regulatory mechanisms of the cell cycle. On this basis, it focuses on the mechanisms by which radiation-induced RPL11 regulates the cell cycle and analyzes the specific effects of RPL11 on cell cycle. Furthermore, it discusses the role of the RPL11-MDM2-p53 pathway in cell cycle regulation. Finally, it explores the role of this pathway in maintaining genomic stability and determining cell fate, and highlights its potential value as a target for radiosensitization, aiming to provide new perspectives for enhancing tumor radiosensitivity and reducing damage to normal tissues.