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 investigate the impacts of the radiosensitivity of cell lines on a microdosimetric kinetic model (MKM) used in carbon-ion radiotherapy.Methods:The saturation-corrected specific energy ( ) of monoenergetic carbon ions was calculated using the Kiefer-Chatterjee (K-C) track structure model. Correction curve f(LET) was derived from experimental data on relative biological effectiveness (RBE) (RBE DSB-LET) defined based on the double-strand DNA break of the Chinese hamster ovary (CHO) and Fibroblast cell lines irradiated using carbon ions with varying linear energy transfer (LET) values. Then, based on the MKM, the D10-LET curves, as well as α and β databases, of the CHO and Fibroblast cell lines with varying radiosensitivity were determined. Results:Compared to the clinically applied MKM, the predicted D10 after correction while accounting for cell line radiosensitivity agreed better with experimental D10 values of the CHO and Fibroblast cell lines. Specifically, compared to experimental values in the literature, the D10 values calculated in the study and determined using the MKM showed mean squared errors (MSEs) of 0.04 and 0.71, for the CHO cell line and 0.35 and 0.55, respectively, for the Fibroblast cell line. For monoenergetic carbon ions with varying LET values, the calculated α and β values generally increased with cellular radiosensitivity. Conclusions:Incorporating cellular radiosensitivity into the MKM framework serves as a more specific method for RBE assessment while also providing a reference for advancing MKM applications and achieving the fine-scale calculations of RBE in carbon-ion radiotherapy.

Objective To propose a low-dose CT image denoising method based on an improved Corediff model to recover the detailed features of the image and enhance the image quality.Methods An RS-Corediff model was established by modifying the key component U-Net network of the Corediff model.Firstly,the residual module was introduced in the network input stage for feature extraction;secondly,a new downsampling module was designed in the U-Net network encoder,which learned the semantic information of the feature map by convolution and maintained the learning state during the downsampling process so as to fully extract the image features;thirdly,the feature splicing processing was used to further enhance the learning effect during the upsampling process of the U-Net network decoder;finally,the convolutional kernel size was modified to adjust the sensory field during the convolutional process of the whole U-Net network structure so as to obtain rich features.The RS-Corediff model was compared with the residual encoder-decoder convolutional neural network(RED-CNN)model and the Corediff model on the public dataset AAPM 2016 in order to verify its effectiveness for low-dose CT image denoising.Results The RS-Corediff model gained advantages over the RED-CNN and Corediff models with a peak signal-to-noise ratio(PSNR)of 41.269 8,structural similarity(SSIM)of 0.953 4 and root mean square error(RMSE)of 17.568 7.Conclusion The proposed method effectively preserves the texture and details of low-dose CT images during the denoising process to improve the overall quality of the images.[Chinese Medical Equipment Journal,2025,46(5):9-13]

Objective:To investigate the impacts of the radiosensitivity of cell lines on a microdosimetric kinetic model (MKM) used in carbon-ion radiotherapy.Methods:The saturation-corrected specific energy ( ) of monoenergetic carbon ions was calculated using the Kiefer-Chatterjee (K-C) track structure model. Correction curve f(LET) was derived from experimental data on relative biological effectiveness (RBE) (RBE DSB-LET) defined based on the double-strand DNA break of the Chinese hamster ovary (CHO) and Fibroblast cell lines irradiated using carbon ions with varying linear energy transfer (LET) values. Then, based on the MKM, the D10-LET curves, as well as α and β databases, of the CHO and Fibroblast cell lines with varying radiosensitivity were determined. Results:Compared to the clinically applied MKM, the predicted D10 after correction while accounting for cell line radiosensitivity agreed better with experimental D10 values of the CHO and Fibroblast cell lines. Specifically, compared to experimental values in the literature, the D10 values calculated in the study and determined using the MKM showed mean squared errors (MSEs) of 0.04 and 0.71, for the CHO cell line and 0.35 and 0.55, respectively, for the Fibroblast cell line. For monoenergetic carbon ions with varying LET values, the calculated α and β values generally increased with cellular radiosensitivity. Conclusions:Incorporating cellular radiosensitivity into the MKM framework serves as a more specific method for RBE assessment while also providing a reference for advancing MKM applications and achieving the fine-scale calculations of RBE in carbon-ion radiotherapy.

Currently, the drug delivery system (DDS) based on nanomaterials has become a hot interdisciplinary research topic. One of the core issues is drug loading and controlled release, in which the key lever is carriers. Vaterite, as an inorganic porous nano-material, is one metastable structure of calcium carbonate, full of micro or nano porous. Recently, vaterite has attracted more and more attention, due to its significant advantages, such as rich resources, easy preparations, low cost, simple loading procedures, good biocompatibility and many other good points. Vaterite, gained from suitable preparation strategies, can not only possess the good drug carrying performance, like high loading capacity and stable loading efficiency, but also improve the drug release ability, showing the better drug delivery effects, such as targeting release, pH sensitive release, photothermal controlled release, magnetic assistant release, optothermal controlled release. At the same time, the vaterite carriers, with good safety itself, can protect proteins, enzymes, or other drugs from degradation or inactivation, help imaging or visualization with loading fluorescent drugs in vitro and in vivo, and play synergistic effects with other therapy approaches, like photodynamic therapy, sonodynamic therapy, and thermochemotherapy. Latterly, some renewed reports in drug loading and controlled release have led to their widespread applications in diverse fields, from cell level to clinical studies. This review introduces the basic characteristics of vaterite and briefly summarizes its research history, followed by synthesis strategies. We subsequently highlight recent developments in drug loading and controlled release, with an emphasis on the advantages, quantity capacity, and comparations. Furthermore, new opportunities for using vaterite in cell level and animal level are detailed. Finally, the possible problems and development trends are discussed.

Objective To investigate the peripheral blood cytokine levels in patients with acute myocardial infarction(AMI),and to analyze its correlation with Killip classification,N-terminal brain natriuretic peptide precursor(NT-proBNP),cardiac troponin I(cTnI),creatine kinase isoenzymes(CK-MB),and to provide a theoretical basis for assessing the severity and prognosis of the disease.Methods A total of 312 patients with AMI admitted to Minhang Hospital,Fudan University from Jul 2021 to Oct 2023 were enrolled as the case group,and 201 patients with unstable angina pectoris were selected as the control group.General clinical data of the subjects were collected,and the concentrations of cytokines(IL-5,IFN-α,IFN-γ,IL-10,IL-12p70,IL-17,IL-1β,IL-2,IL-4,IL-6,IL-8,and TNF-α)in peripheral blood were detected by multiplex bead-based flow cytometry.NT-proBNP,cTnI and CK-MB were measured by chemiluminescence methods.The levels of cytokines between the two groups were compared,and their correlations with Killip classification,NT-proBNP,cTnI and CK-MB were analyzed.The predictive efficacy of cytokines for AMI was evaluated by receiver operating characteristic(ROC)curves.Results There were no significant differences in baseline data between the AMI group and the control group(P>0.05),with the exception of age.The levels of IL-6,IL-8 and TNF-α in the AMI group were higher than those in the control group(all P<0.01).The correlation analyses showed that IL-6 was positively correlated with Killip classification,NT-proBNP,cTnI and CK-MB(all P<0.01).ROC analyses showed that IL-6 levels had good predictive efficacy for AMI(AUC=0.882 9,P<0.01).Conclusion The expression of IL-6 was significantly increased in patients with AMI,and it was positively correlated with Killip classification,NT-proBNP,cTnI and CK-MB,suggesting that IL-6 may serve as a potential biomarker for assessing the severity of AMI.

Non-steroidal anti-inflammatory drugs(NSAIDs),commonly utilized analgesics,are extensively employed for managing pain associated with musculoskeletal disorders or injuries.Recent clinical studies have demonstrated a heightened risk of bone stress injuries(BSI)in soldiers and athletes,particularly during high-intensity training,due to NSAID usage.Furthermore,the impact of NSAIDs on fracture healing is well-documented;however,the precise mechanism by which their use during training contributes to an increased incidence of stress bone injuries remains unclear.This article aims to summarize potential mechanisms through an extensive review of domestic and international literature in order to standardize the utilization and clinical management of NSAIDs,optimize pain management strategies,and prevent stress bone injuries or fractures in specific populations such as soldiers and elite athletes.

Objective To propose a low-dose CT image denoising method based on an improved Corediff model to recover the detailed features of the image and enhance the image quality.Methods An RS-Corediff model was established by modifying the key component U-Net network of the Corediff model.Firstly,the residual module was introduced in the network input stage for feature extraction;secondly,a new downsampling module was designed in the U-Net network encoder,which learned the semantic information of the feature map by convolution and maintained the learning state during the downsampling process so as to fully extract the image features;thirdly,the feature splicing processing was used to further enhance the learning effect during the upsampling process of the U-Net network decoder;finally,the convolutional kernel size was modified to adjust the sensory field during the convolutional process of the whole U-Net network structure so as to obtain rich features.The RS-Corediff model was compared with the residual encoder-decoder convolutional neural network(RED-CNN)model and the Corediff model on the public dataset AAPM 2016 in order to verify its effectiveness for low-dose CT image denoising.Results The RS-Corediff model gained advantages over the RED-CNN and Corediff models with a peak signal-to-noise ratio(PSNR)of 41.269 8,structural similarity(SSIM)of 0.953 4 and root mean square error(RMSE)of 17.568 7.Conclusion The proposed method effectively preserves the texture and details of low-dose CT images during the denoising process to improve the overall quality of the images.[Chinese Medical Equipment Journal,2025,46(5):9-13]

Objective To investigate the peripheral blood cytokine levels in patients with acute myocardial infarction(AMI),and to analyze its correlation with Killip classification,N-terminal brain natriuretic peptide precursor(NT-proBNP),cardiac troponin I(cTnI),creatine kinase isoenzymes(CK-MB),and to provide a theoretical basis for assessing the severity and prognosis of the disease.Methods A total of 312 patients with AMI admitted to Minhang Hospital,Fudan University from Jul 2021 to Oct 2023 were enrolled as the case group,and 201 patients with unstable angina pectoris were selected as the control group.General clinical data of the subjects were collected,and the concentrations of cytokines(IL-5,IFN-α,IFN-γ,IL-10,IL-12p70,IL-17,IL-1β,IL-2,IL-4,IL-6,IL-8,and TNF-α)in peripheral blood were detected by multiplex bead-based flow cytometry.NT-proBNP,cTnI and CK-MB were measured by chemiluminescence methods.The levels of cytokines between the two groups were compared,and their correlations with Killip classification,NT-proBNP,cTnI and CK-MB were analyzed.The predictive efficacy of cytokines for AMI was evaluated by receiver operating characteristic(ROC)curves.Results There were no significant differences in baseline data between the AMI group and the control group(P>0.05),with the exception of age.The levels of IL-6,IL-8 and TNF-α in the AMI group were higher than those in the control group(all P<0.01).The correlation analyses showed that IL-6 was positively correlated with Killip classification,NT-proBNP,cTnI and CK-MB(all P<0.01).ROC analyses showed that IL-6 levels had good predictive efficacy for AMI(AUC=0.882 9,P<0.01).Conclusion The expression of IL-6 was significantly increased in patients with AMI,and it was positively correlated with Killip classification,NT-proBNP,cTnI and CK-MB,suggesting that IL-6 may serve as a potential biomarker for assessing the severity of AMI.