Objective To investigate the current distribution and predict the future suitable habitats of Haemaphysalis longicornis in Nanjing City, so as to provide insights into control and early warning of ticks and management of tick-borne diseases in Nanjing City. Methods The electronic map of Nanjing City was obtained from the National Platform for Common GeoSpatial Information Services. The distribution of H. longicornis and the longitude and latitude of distribution points from 2022 to 2024 were obtained from centers for disease control and prevention across each district in Nanjing City. Climatic and environmental variable data in Nanjing City were captured from the Worldclim database. Initially, 19 bioclimatic variables in this database were selected, including annual mean temperature, mean diurnal range, isothermality, temperature seasonality, maximum temperature of the warmest month, minimum temperature of the warmest month, temperature annual range, mean temperature of the wettest quarter, mean temperature of the driest quarter, mean temperature of the warmest quarter, mean temperature of the coldest quarter, annual precipitation, precipitation of the wettest month, precipitation of the driest month, precipitation seasonality, precipitation of the wettest quarter, precipitation of the driest quarter, precipitation of the warmest quarter, and precipitation of the coldest quarter. The elevation and normalized difference vegetation index were obtained from Data Sharing Platform of the Center for Resources and Environmental Sciences, Chinese Academy of Sciences. Then, the distribution points of H. longicornis, elevation, vegetation index and 19 bioclimatic variables were loaded into the software MaxEnt 3.4.4 to evaluate and screen out the variables with a contribution rate of 1% and higher. ArcGIS 10.8.1 software was used to extract the elevation, vegetation index and 19 bioclimatic variables of the distribution points of H. longicornis for a correlation analysis. If the absolute value of the correlation coefficient was 0.8 and higher, the variable with the higher contribution was retained. The 2050 dataset of the BCCCSM2-MR atmospheric circulation model in the coupled model intercomparison project phase 6 (CMIP6) were obtained from the Worldclim database as climate data for 2050. Screened H. longicornis species data and environmental and climate data were loaded into the maximum entropy (MaxEnt) model with the software MaxEnt 3.4.4 for training and validation, and then, all data generated from the model were imported into the software ArcGIS 10.8.1 to generate raster data and yield the map pertaining to the distribution of H. longicornis risk in Nanjing City. The accuracy of the model was evaluated with a receiver operating characteristic (ROC) curve, and the predictive effect of the model was assessed with area under the ROC curve (AUC). The suitable habitats of H. longicornis were classified in Nanjing City with the software ArcGIS 10.8.1, and the areas of distribution of suitable habitats in various categories were recorded to create the map of current H. longicornis suitable habitats classification in Nanjing City. The climatic and geographic information data in 2050 were employed as future environmental and climatic factors, and current environmental and climatic factors and current H. longicornis distribution data were additionally used to predict the future suitable habitats of H. longicornis in Nanjing City. In addition, the contributions of environmental and climatic factors to distribution of suitable habitats of H. longicornis was evaluated with the Jackknife method in Nanjing City. Results A total of 10 environmental and climatic variables were screened for analysis of the suitability of H. longicornis in Nanjing City based on correlation analyses and contributions of the MaxEnt model, including annual mean temperature, precipitation of the warmest quarter, vegetation index, precipitation of the wettest month, temperature annual range, annual precipitation, mean temperature of the warmest quarter, elevation, mean temperature of the wettest quarter, and maximum temperature of the warmest month, and annual mean temperature (34.8%), precipitation of the warmest quarter (17.3%), vegetation index (13.1%), and precipitation of the wettest month (10.8%) contributed relatively highly to the distribution of suitable habitats of H. longicornis in Nanjing City. The mean AUC of the ROC curve was 0.810 ± 0.055 for 10 repeated modeling results of the MaxEnt model, indicating high predictive performance of the model. The potential distribution areas of H. longicornis were predicted to be mainly located in Luhe District, Pukou District, Jiangning District, Lishui District, and Gaochun District in Nanjing City with the MaxEnt model. Under current climatic conditions, the area of potential suitable habitats of H. longicornis was 4 182.42 km² in Nanjing City, including 1 252.94 km² highly suitable habitats, which accounted for 19.00% of the total area of Nanjing City. Under the climate scenario in 2050, the area of potential suitable habitats of H. longicornis was projected to increase to 5 467.58 km² in Nanjing City, accounting for 82.95% of the total area of the city, and these habitats were mainly concentrated in Luhe District, Pukou District, Jiangning District, Lishui District, and Gaochun District. The areas of suitable habitats of H. longicornis at various categories were predicted to vary greatly in 2050, and the area of highly suitable habitats of H. longicornis was projected to increase to 2 378.82 km², accounting for 36.08% of the total area of Nanjing City. Based on jackknife tests and contributions of environmental and climatic variables, 6 dominant environmental and climatic factors were screened, including annual mean temperature (34.8% contribution), precipitation of the warmest quarter (17.3% contribution), vegetation index (13.1% contribution), precipitation of the wettest month (10.8% contribution), temperature annual range (5.4% contribution), and mean temperature of the warmest quarter (5.0% contribution), with cumulative contributions of 86.4%. Conclusion The distribution of H. longicornis is strongly associated with vegetation, temperature and precipitation in Nanjing City. Future climate change may lead to an expansion of the distribution area of H. longicornis in Nanjing City.

Objective To evaluate the efficacy and safety of polyethylene glycol electrolyte powder(PEG)combined with linaclotide(Lin)for bowel preparation in elderly constipated patients before colonoscopy.Methods In this prospective,randomized controlled trial,90 elderly patients with constipation undergoing colonoscopy were recruited at our hospital from June 2022 to December 2023.Participants were randomly assigned to three groups(n=30 each):PEG-3L alone,PEG-3L+Lin,and PEG-2L+Lin.Primary outcome was Boston Bowel Preparation Scale(BBPS)score and secondary outcomes included adverse event rates,colonoscopy completion rate,withdrawal time,and polyp detection rate.Statistical analysis was performed using independent t-tests and chi-square tests.Results The PEG-3L+Lin group achieved significantly higher BBPS scores than both PEG-3L alone and PEG-2L+Lin groups did(both P<0.001).The PEG-2L+Lin group also outperformed the PEG-3L alone group in cleansing efficacy(90.0%vs.76.7%,P=0.008).The PEG-2L+Lin group demonstrated the best tolerability and lowest adverse event rate,the PEG-3L group had the longest withdrawal time(P<0.05),but the three groups showed no significant difference in polyp detection rates.Conclusion PEG combined with linaclotide significantly improves bowel cleansing in elderly constipated patients.PEG-2L+Lin regimen provides optimal balance between efficacy,safety,and tolerability,making it a preferable choice for this population.

AIM:To explore the causal association between the counts of five types of white blood cells—neutrophils,monocytes,eosinophils,baso-phils,and lymphocytes—and venous thromboem-bolism(VTE).METHODS:Mendelian randomization(MR)analysis method was used,with genetic vari-ants associated with the five types of white blood cells as instrumental variables,and venous throm-boembolism occurrence risk as the outcome vari-able,inverse variance-weighted(IVW)method was employed as the primary analysis method,with MR-Egger regression,weighted median(WM),sim-ple model,and weighted mode methods used as supplements,to analyze the causal association be-tween the counts of five types of white blood cells and VTE,followed by reverse MR analysis.RE-SULTS:Neutrophil and lymphocyte counts are caus-ally associated with the risk of VTE.For neutrophil count,the IVW estimate(OR=0.867,95%CI:0.761-0.981,P=0.031),MR-Egger estimate(OR=0.754,95%CI:0.571-0.996,P=0.048),weighted median es-timate(OR=0.846,95%CI:0.729-0.981,P=0.027),and weighted model estimate(OR=0.748,95%CI:0.595-0.942,P=0.014)were calculated.For lympho-cyte count,the IVW estimate(OR=0.838,95%CI:0.741-0.949,P=0.005)and weighted median esti-mate(OR=0.024,95%CI:0.718-0.977,P=0.024)were calculated.Reverse MR analysis showed a causal association between the risk of VTE and neu-trophil count,the IVW estimate(OR=0.989,95%CI:0.980-0.999,P=0.024).CONCLUSION:Neutrophil and lymphocyte counts are related to the risk of VTE,and decrease in neutrophil and lymphocyte numbers may increase the risk of VTE.VTE occur-rence risk is associated with neutrophil count,and reducing the risk of VTE occurrence may increase neutrophil count.Further research is needed to un-derstand the underlying biological mechanisms be-hind this relationship.

Objective To construct YOLOv10 based artificial intelligence(AI)models for the automatic detection in small bowel capsule endoscopy(SBCE)images.Methods SBCE data from two centers was collected,including 23 115 images and 35 412 annotated labels covering 11 categories of small bowel lesions.The images were annotated using the LabelMe tool and converted into the YOLO format required for deep learning model development.The pre-trained YOLOv10 and YOLOv8 models were used for transfer learning training on the constructed dataset.Model performance was comprehensively evaluated using metrics such as precision,accuracy,sensitivity,specificity,false-positive rate,and detection speed.Finally,the models were deployed on local computers for real-time detection of SBCE images and videos.Results Six different versions of YOLO object detection models were developed,namely YOLOv8n,YOLOv8s,YOLOv8m,YOLOv10n,YOLOv10s,and YOLOv10m.On the validation set,YOLOv10s model achieved the best mAP50(0.795);although its inference latency was not the fastest(4.803 ms/img),it met the requirements for clinical application.On the test set,YOLOv10s performed well,with an accuracy of 92.69%,a sensitivity of 89.23%,and a false-positive rate of 4.78%.Especially,in category-specific inference,the highest sensitivity was for"bleeding"at 96.41%,while the lowest was for"narrowing"at 82.29%.Conclusion The model constructed based on YOLOv10 neural network can rapidly and accurately detect and classify various small bowel lesions,exhibiting significant clinical application potential.

Objective To investigate the effect of aerobic exercise preconditioning on cardiac function in mice bearing subcutaneous transplantable tumors and explore the potential molecular mechanisms.Methods Twenty-four 6-week-old male BALB/c mice were selected.After an acclimation period,they were randomly assigned to a control group(C),a tumor group(M)and an exercise-preconditioning plus tumor group(EM),each of eight.The EM group underwent a 4-week aerobic exercise interven-tion.Meanwhile,the C group received 0.2 ml of physiological saline injected subcutaneously on the dorsum of the proximal left hind limb,while the M and EM groups were inoculated at the same site with 0.2 ml of a CT26.WT colon carcinoma cell suspension.Three weeks after inoculation,cardiac function was assessed by transthoracic echocardiography.Hearts were then harvested for hematoxylin-eo-sin staining to evaluate cardiomyocyte cross-sectional area(CSA),while Western blot was performed to determine the expression of proteins related to myocardial protein synthesis and degradation.Results(1)Compared with group C,group M exhibited significantly lower body weight and heart weight(P<0.05),and reduced left ventricular ejection fraction(LVEF),fractional shortening(FS)and stroke vol-ume(SV)(P<0.05),as well as cardiomyocyte CSA(P<0.01)and total mTOR(P<0.01),phosphory-lated mTOR(p-mTOR)(P<0.01)and the p-mTOR/mTOR ratio(P<0.05),but a significant increase in the expression of the muscle ring finger 1(MuRF-1)and the muscle atrophy F-box(MAFbx/Atrog-in-1)(P<0.01 and P<0.05,respectively).(2)Compared with group M,group EM showed significant-ly greater heart weight(P<0.05);increased left ventricular posterior wall thickness at end-diastole(LVPWd),LVEF,FS and SV(P<0.05),as well as the larger cardiomyocyte CSA and total mTOR,p-mTOR and the p-mTOR/mTOR ratio(P<0.05),but reduced MuRF-1 and Atrogin-1 expression(P<0.05).Conclusion Four weeks of aerobic exercise preconditioning ameliorated myocardial atrophy and improved systolic cardiac function in mice bearing subcutaneously transplanted CT26 tumors.Such beneficial effects may be associated with exercise-induced down regulation of the protein degradation mediators MuRF-1 and Atrogin-1 and up regulation of total mTOR and p-mTOR.

Objective To construct YOLOv10 based artificial intelligence(AI)models for the automatic detection in small bowel capsule endoscopy(SBCE)images.Methods SBCE data from two centers was collected,including 23 115 images and 35 412 annotated labels covering 11 categories of small bowel lesions.The images were annotated using the LabelMe tool and converted into the YOLO format required for deep learning model development.The pre-trained YOLOv10 and YOLOv8 models were used for transfer learning training on the constructed dataset.Model performance was comprehensively evaluated using metrics such as precision,accuracy,sensitivity,specificity,false-positive rate,and detection speed.Finally,the models were deployed on local computers for real-time detection of SBCE images and videos.Results Six different versions of YOLO object detection models were developed,namely YOLOv8n,YOLOv8s,YOLOv8m,YOLOv10n,YOLOv10s,and YOLOv10m.On the validation set,YOLOv10s model achieved the best mAP50(0.795);although its inference latency was not the fastest(4.803 ms/img),it met the requirements for clinical application.On the test set,YOLOv10s performed well,with an accuracy of 92.69%,a sensitivity of 89.23%,and a false-positive rate of 4.78%.Especially,in category-specific inference,the highest sensitivity was for"bleeding"at 96.41%,while the lowest was for"narrowing"at 82.29%.Conclusion The model constructed based on YOLOv10 neural network can rapidly and accurately detect and classify various small bowel lesions,exhibiting significant clinical application potential.

Objective:To explore the feasibility and advantages of applying visualized thermosensitive color-changing bolus in postmastectomy radiotherapy (PMRT) for breast cancer.Methods:Forty patients with breast cancer treated with PMRT in the Second Affiliated Hospital of Soochow University from June 2023 to June 2024 were prospectively selected. They were randomly divided into test and control groups (also referred to as groups A and B, respectively), with 20 patients in each group. Group A, underwent two CT scans: the first scan without bolus (image A1) and the second scan with visualized thermosensitive color-changing bolus (image A2). They were treated with visualized thermosensitive color-changing bolus. Group B also underwent two CT scans: the first scan without bolus (image B1) and the second scan with conventional commercial bolus (image B2), and then were treated with conventional commercial bolus. In the radiotherapy planning, images A1 and A2 were designed as A1-Plan and A2-Plan, and A3-Plan was created by transferring the A1-Plan onto image A2. Images B1 and B2 were designed as B1-Plan and B2-Plan, and B3-Plan was created by transferring the B1-Plan onto image B2. The radiation fields and target optimization functions were identical. The dosimetric differences and skin toxicity reactions between different plans were compared.Results:In Group A, A1-Plan and A2-Plan manifested no statistically significant differences ( P > 0.05) in the doses to organs at risk (OARs), including the ipsilateral lung ( V5 Gy, V10 Gy, V20 Gy), heart ( Dmean), contralateral breast ( Dmean), and skin ( Dmax and Dmean), target homogeneity index (HI), conformity index (CI), prescription dose volume ( V50 Gy), depth of maximum dose ( Dmax), and monitor unit (MU). In Group B, B3-Plan compared to B1-Plan showed reduced V50 Gy (89.9% vs. 95%), HI (0.153 vs. 0.136), and CI (0.817 vs. 0.810), while the two plans displayed no statistically significant differences in doses to OARs. In contrast, A3-Plan and B3-Plan exhibited statistically significant differences ( t = 2.78, 2.29, -0.47, 0.51, 3.13, P < 0.05) in V50 Gy (94.05% vs. 89.90%), Dmax (5 665.4 cGy vs. 5 632.7 cGy), HI (0.148 vs. 0.163), CI (0.83 vs. 0.82), and skin Dmean (5 153.6 cGy vs. 5 048.2 cGy). Compared to the conventional commercial bolus of the same thickness, the visualized thermosensitive color-changing bolus yielded a significantly reduced air cavity volume (3 833 mm 3vs. 21 498 mm 3,t = -9.65, P < 0.05). Both groups experienced only grade I skin toxicity reactions. Conclusions:Compared to the conventional commercial bolus of the same thickness, the visualized thermosensitive color-changing bolus shows a more effective dosimetric distribution in terms of target coverage, HI, and CI, a higher fit to the skin, highly visualized air cavity, and higher positional repeatability in fractionated radiotherapy, demonstrating high practicality and safety.

Objective To investigate the effects of aerobic exercise and different exercise habits on skeletal muscle function and the possible molecular mechanisms in colorectal cancer-loaded mice.Methods Thirty-five 5-week-old BABL/c male mice were acclimatized to feeding for 1 week and then divided randomly into the following groups:control(D),tumor(M),exercise preconditioning(QAM),lifetime exercise(AM),and exercise(HAM)groups(n=7 mice per group).Mice in the QAM and AM groups underwent aerobic exercise regimen 1 from weeks 2～6.At week 7,mice in the experimental groups received 0.2 mL of CT26 colon cancer cell suspension subcutaneously in the dorsal aspect of the left hind limb,while control mice received 0.2 mL of saline at the corresponding site.Mice in the AM and HAM groups were subjected to aerobic exercise regimen 2 for weeks 7～9.The general status and skeletal muscle mass and function were monitored in all mice throughout the experiments.After completion of the experiment,samples were collected and the cross-sectional area of gastrocnemius muscle fibers(CSA)was measured by hematoxylin and eosin staining and expression levels of proteins related to synthesis and catabolism of the gastrocnemius muscle were analyzed by Western Blot.Results(1)The weight ratio of the gastrocnemius muscle was significantly lower in mice in the M,QAM,and HAM groups compared with group D,and was significantly higher in AM mice compared with M,QAM,and HAM mice.(2)Grip strength,endurance,skeletal muscle circumference,and CSA were significantly lower in group D mice compared with the other groups,and was most enhanced in group HAM.Endurance and CSA were consistently enhanced in groups QAM,AM,and HAM.(3)Muscle RING-finger protein-1(MuRF1)expression levels were significantly lower in groups M,QAM,AM,and HAM than in group D,significantly lower in groups AM and HAM than in group M,and significantly lower in group HAM than in group QAM.(4)Fibronectin type Ⅲ domain-containing protein 5(FNDC5)expression levels were significantly lower in group M than in groups D and QAM.(5)Peroxisome proliferator-activated receptor gamma coactivator 1-alpha expression levels were significantly lower in the QAM and HAM groups compared with group M.(6)Expression levels of phospho(p)-AMP-activated protein kinase(AMPK)/AMPK and p-AMPK were significantly higher in group QAM than in groups D and M,p-AMPK expression significantly lower in groups AM and HAM was than in group QAM,and AMPK expression was significantly lower in groups QAM,AM,and HAM than in group D.Conclusions Exercise preconditioning and continuous aerobic exercise can improve skeletal muscle mass and function in CT26 colon cancer-loaded mice by activating AMPK phosphorylation to stimulate skeletal muscle secretion of FNDC5,thereby regulating the expression of MuRF1 protein.

OBJECTIVE: To precise classify sacral meningeal cysts, effective guide minimally invasive neurosurgery and postoperative personalized rehabilitation by multiple dimensions radiographic reconstruction MRI. METHODS: From March to December 2021, based on the original 3D-fast imaging employing steadystate acquisition (FIESTA) scanning sequence, 92 patients with sacral meningeal cysts were pre-operatively evaluated by multiple dimensional reconstruction MRI. The shape of nerve root and the leakage of cyst were reconstructed according to the direction of nerve root or leakage track showed on original MRI scans. Sacral canal cysts were accurately classified as including nerve root and without nerve root, so as to accurately design the incision of skin and formulate corresponding open range of the posterior wall of the sacral canal. Under the microscope intraoperation, the shape of the nerve roots inside cysts or leakage track of the cysts without nerve roots were verified and explored. After the reinforcement and shaping operation, several reexaminations of multiple dimensional reconstruction MRI were performed to understand the deformation of the nerve root and hydrops in the operation cavity, so as to formulate a persona-lized rehabilitation plan for the patients. RESULTS: Among the 92 patients with sacral mengingeal cyst, 58 (63.0%) cysts with nerve root cyst, 29 (31.5%) cysts without nerve root cyst, and 5 (5.4%) cysts with mixed sacral canal cyst. In 58 patients with nerve root cysts, the accuracy of preoperative clinical classification on MRI image reached 96.6% (56/58) through confirmation by operating microscope. Only 2 cases of large single cyst with nerve root on the head of cyst were mistaken for without nerve root type. In 29 patients with sacral cyst without nerve root, the accuracy of preoperative image reached 100% through confirmation by operating microscope. The accuracy of judging the internal nerve root and leakage of 12 cases with recurrent sacral cyst was also 100%. Two cases of delayed postoperative hydrops were found one month after operation. After rehabilitation treatment by moxibustion and bathing, the hydrops disappeared 4-6 months after operation. CONCLUSION Multiple dimensional reconstruction MRI can precisely make clinical classification of sacral meningeal cysts before operation, guide minimally invasive neurosurgery effectively, and improve the rehabilitation effect.
Humans ; Magnetic Resonance Imaging/methods* ; Male ; Female ; Sacrum/surgery* ; Adult ; Middle Aged ; Imaging, Three-Dimensional/methods* ; Cysts/rehabilitation* ; Aged ; Adolescent ; Young Adult ; Spinal Nerve Roots/diagnostic imaging* ; Minimally Invasive Surgical Procedures ; Neurosurgical Procedures/methods*

Allergen-specific immunotherapy（AIT） remains the only therapeutic approach with the potential to modify the natural course of allergic rhinitis（AR）. Nevertheless, considerable inter-individual variability exists in patients'responses to AIT. To facilitate more reliable assessment of treatment efficacy, the China Rhinopathy Research Cooperation Group（CRRCG） convened young and middle-aged nasal experts in China to formulate the present consensus. The recommended subjective outcome measures for AIT comprise symptom scores, medication scores, combined symptom and medication scores, quality-of-life assessments, evaluation of disease control, and assessment of comorbidities. Objective indicators may supplement these measures. Currently available objective approaches include skin prick testing, nasal provocation testing, and allergen exposure chambers. However, these methods remain constrained by practical limitations and are not yet appropriate for routine implementation in clinical efficacy evaluation. In addition, several biomarkers, including sIgE and the sIgE/tIgE ratio, sIgG4, serum IgE-blocking activity, IgA, cytokines and chemokines, as well as immune cell surface molecules and their functional activity, have been shown to have associations with AIT outcomes. While these biomarkers may complement subjective assessments, they are subject to significant limitations. Consequently, large-scale multicenter trials and real-world evidence are required to strengthen the evidence base. The present consensus underscores the necessity of integrating patients'subjective experiences with objective testing throughout the treatment process, thereby providing a more comprehensive and accurate framework for efficacy evaluation. Looking forward, future investigations should prioritize the incorporation of multi-omics data and artificial intelligence methodologies, which hold promise for overcoming current limitations in assessment strategies and for advancing both the standardization and personalization of AIT.
Humans ; Allergens/immunology* ; China ; Consensus ; Desensitization, Immunologic ; Immunoglobulin E ; Quality of Life ; Rhinitis, Allergic/therapy* ; Treatment Outcome ; East Asian People