Objective Based on the transcriptome data of Scolopendra subspinipes mutilans L.Koch,SSR primers were designed and developed to evaluate the genetic diversity and analyze the population structure of the germplasm resources of S.mutilans,which can provide a theoretical basis for the development and utilization of the germplasm resources of S.mutilans.Methods We collected 301 samples of S.mutilans from major production areas,and analyzed the population genetic diversity and population structure of the germplasm resources of S.mutilans using 18 pairs of highly polymorphic SSR primers after screening.Results A total of 142 alleles were amplified by 18 primer pairs across all samples,with an average of 7.89 alleles amplified per locus.The mean of observed heterozygosity(HO)of the 18 populations was 0.39,the mean of expected heterozygosity(HE)was 0.46,the mean of polymorphism information content(PIC)was 0.41,the mean of Nei's gene diversity index(H)was 0.46,and the mean of Shannon information index(I)was 0.81.The results showed that the wild resources of S.mutilans collected in this study had a high level of genetic diversity,Four populations in Anhui and Zhejiang had higher genetic diversity than populations in Hubei.Molecular analysis of variance(AMOVA)of the population showed that most of the genetic variation in the materials of this study mainly occurred within populations.The STRUCTURE analysis of germplasm resources showed that all germplasm could be divided into four populations.Conclusion This study showed that the natural population of S.mutilans possesses high genetic diversity with high genetic variation and is better adapted to changes in the environment.Our results provided a research basis for the rational utilization of the germplasm resources of S.mutilans and the selection and breeding of superior varieties.

Objective To investigate the susceptibility of Cryptococcus neoformans strains to antifungal drugs and examine the relevant clinical manifestations and laboratory test results in a tertiary hospital in Shanghai during the period from 2019 to 2023.Methods The isolates were identified by MALDI-TOF and biochemical identification cards.The minimum inhibitory concentration(MIC)values of 5-fluorocytosine,amphotericin B,fluconazole,voriconazole,and itraconazole against C.neoformans strains were measured using broth microdilution method.The corresponding clinical data were reviewed and compared.Results Majority(78.7％)of the 75 strains of C.neoformans were isolated from cerebrospinal fluid(CSF).The prevalence of wild type(WT)strains was the lowest(36.0％)for itraconazole and the highest(94.7％)for voriconazole.Cryptococcus capsular antigen test was positive in 62 strains.The results of Cryptococcus capsular antigen test was consistent with fungal culture in 96.9％of the cases.Conclusions Most of the C.neoformans strains were isolated from CSF.The prevalence of non-WT C.neoformans strains was the highest for itraconazole.The prevalence of WT C.neoformans strains was the highest for voriconazole.

Objective To investigate the susceptibility of Cryptococcus neoformans strains to antifungal drugs and examine the relevant clinical manifestations and laboratory test results in a tertiary hospital in Shanghai during the period from 2019 to 2023.Methods The isolates were identified by MALDI-TOF and biochemical identification cards.The minimum inhibitory concentration(MIC)values of 5-fluorocytosine,amphotericin B,fluconazole,voriconazole,and itraconazole against C.neoformans strains were measured using broth microdilution method.The corresponding clinical data were reviewed and compared.Results Majority(78.7％)of the 75 strains of C.neoformans were isolated from cerebrospinal fluid(CSF).The prevalence of wild type(WT)strains was the lowest(36.0％)for itraconazole and the highest(94.7％)for voriconazole.Cryptococcus capsular antigen test was positive in 62 strains.The results of Cryptococcus capsular antigen test was consistent with fungal culture in 96.9％of the cases.Conclusions Most of the C.neoformans strains were isolated from CSF.The prevalence of non-WT C.neoformans strains was the highest for itraconazole.The prevalence of WT C.neoformans strains was the highest for voriconazole.

Objective:To investigate the clinical outcomes of arthroscopic suture anchor fixation for acute bony Bankart lesions.Methods:Data of 49 patients with acute bone Bankart injury treated with suture anchor fixation under arthroscopy at the Affiliate Nanjing Drum Tower Hospital of Nanjing University School of Medicine from February 2019 to July 2024 were retrospectively analyzed, including 34 males and 15 females, aged 46.4±17.7 years (range, 18-81 years). Body mass index was 26.3±4.2 kg/m 2 (range, 19.8-37.9 kg/m 2). There were 17 patients with left shoulder and 32 patients with right shoulder. The time from injury to operation was 12.6±10.5 d (range, 1-50 d). CT three-dimensional reconstruction showed that the area of bone defect accounted for 20.1%±11.4% (range, 8%-49%) of the glenoid area. According to the degree of bone defect, there were 38 cases in the bone defect area ≤25% group and 11 cases in the bone defect area >25% group. All 49 patients received shoulder arthroscopic fixation with wire anchor. All 49 the patients were treated under shoulder arthroscopy using suture anchor technique. Using American Shoulder & Elbow Surgeon (ASES) score, University of California, Los Angeles (UCLA) score, Rowe score as well as shoulder range of motion to evaluate shoulder function. The position and healing of the fracture mass were evaluated with shoulder joint CT and three-dimensional reconstruction at immediate and final follow-up. Results:The incision healed in one stage and no infection occurred in all patients. All 49 patients were followed up for a period of 3 to 81 months, with an average follow-up of 23.8±20.2 months. At the final follow-up, the mean forward elevation, external rotation, and internal rotation improved from 126.1°±20.3°, 36.9°±14.0°, and 10±2 preoperatively to 167.1°±15.5°, 66.8°±8.3°, and 6±1 at the last follow-up, respectively ( P<0.05). At the final follow-up, the mean ASES score, UCLA score, and Rowe score were all significantly improved from 41.3±11.9, 14.2±6.1 and 46.9±14.7 preoperatively to 89.7±7.8, 31.5±3.6 and 92.4±7.4, respectively ( P<0.05). The differences between the final follow-up and preoperative values for forward elevation in the bone defect area >25% group and the bone defect area ≤25% group were 43°±20° and 41°±21°, respectively. The differences in lateral external rotation were 34°±8° and 29°±18°, while the differences in internal rotation (measured by hand-behind-back reach) were 5±2 and 4±2, respectively. None of these differences were statistically significant. The differences between the final follow-up and preoperative scores in the bone defect area >25% fracture fragment group and the bone defect area ≤25% group were as follows: ASES score, 50.9±14.4 vs. 47.7±12.8; UCLA score, 18.4±3.2 vs. 17.0±6.9; and Rowe score, 40.5±13.5 vs. 46.9±15.0. None of these differences were statistically significant. CT examination at the last follow-up showed that all fractures were healed, all patients in the bone defect area ≤25% group achieved good reduction, and 3 patients in the bone defect area >25% group had step-offs on the glenoid surface. Postoperative shoulder adhesion occurred in 5 patients, which was improved after intensive abduction and external rotation exercise. Conclusions:Arthroscopic suture anchor fixation is effective for the bone defect area ≤25% bony Bankart lesions, offering advantages of minimal invasiveness and rapid recovery. For lesions involving more than the bone defect area 25% of the glenoid surface, enhanced fixation strength is recommended to prevent fracture fragment displacement.

AIM: To examine how three distinct central positioning techniques for anterior capsulotomy-pupil center, limbus center, and lens apex-affect intraocular lens(IOL)placement and visual quality following femtosecond laser-assisted cataract surgery(FLACS).METHODS: A total of 36 patients(72 eyes)with age-related cataracts who underwent FLACS and ZCB00 aspherical IOL implantation at Aier Eye Hospital Medical Center, Anhui Medical University between January and December 2023 were included in this prospective study. Patients were divided into three groups based on the central positioning mode for anterior capsulotomy: pupil center, limbus center, and lens apex center groups. IOL alignment and displacement were evaluated using the Casia2 device, and the postoperative visual quality was assessed.RESULTS: At 1 d postoperatively, the IOL tilt for the pupil, limbus, and apex groups were 3.96°±1.51°, 4.63°±1.87°, and 3.90°±2.24°, respectively(F=1.07, P=0.35); IOL decentration values were 0.21±0.10 mm, 0.23±0.16 mm, and 0.21±0.12 mm, respectively(F=0.14, P=0.87); total higher-order aberrations were 0.32±0.40 μm, 0.56±0.61 μm, and 0.53±0.60 μm, respectively(F=1.38, P=0.26); and coma aberrations values were 0.13±0.10 μm, 0.16±0.15 μm, and 0.14±0.15 μm, respectively(F=0.3, P=0.74). All results obtained postoperative day 1 did not differ significantly. At 3 mo postoperatively, IOL tilt values were 5.42°±2.00°, 3.96°±1.44°, and 3.20°±1.19°, respectively(F=12.40, P<0.001); IOL decentration values were 0.33±0.07 mm, 0.23±0.11 mm, and 0.21±0.11 mm, respectively(F=4.99, P=0.008); total higher-order aberrations were 0.67±0.29 μm, 0.44±0.37 μm, and 0.42±0.19 μm, respectively(F=5.50, P=0.006); and coma aberrations values were 0.21±0.12 μm, 0.19±0.12 μm, and 0.12±0.11 μm, respectively(F=3.87, P=0.03). All results obtained 3 mo postoperatively were statistically significant.CONCLUSION: Using the lens apex as the central positioning mode for anterior capsulotomy in FLACS improves postoperative IOL stability and reduces postoperative IOL tilt and decentration. If the lens apex cannot be determined intraoperatively, the limbus center-positioning mode is recommended.

Human Respiratory Stem Cells (RSCs) play a crucial role in the maintenance, repair and regeneration of the respiratory system. As a novel therapeutic method, stem cell therapy is a popular research direction in the medical field. And with the in-depth research on the mechanism of pneumonia caused by respiratory infections in recent years, the use of RSCs to explore pneumonia caused by respiratory infections and its therapeutic strategies has become a hot topic. In this paper, we firstly outlined the types of RSCs, summarized the mechanism of pneumonia caused by respiratory tract infections, discussed the advantages of RSCs application and the progress of culture differentiation, and elaborated the therapeutic exploration of RSCs in pneumonia caused by respiratory tract infections.

The level of urinary albumin is a critical indicator for the early diagnosis and management of chronic kidney disease(CKD).However,existing methods for detecting albumin are not conducive to point-of-care testing due to the complexity of reagent addition and incubation processes.This study presents a smartphone-integrated handheld automated biochemical analyzer(sHABA)designed for point-of-care testing of urinary albumin.The sHABA features a pre-loaded,disposable reagent cassette with re-agents for the albumin assay arranged in the order of their addition within a hose.The smartphone-integrated analyzer can drive the reagents following a preset program,to enable automatic sequential addition.The sHABA has a detection limit for albumin of 5.9 mg/L and a linear detection range from 7 to 450 mg/L.The consistency of albumin level detection in 931 urine samples using sHABA with clinical tests indicates good sensitivity(95.78％)and specificity(90.16％).This research advances the field by providing an automated detection method for albumin in a portable device,allowing even untrained individuals to monitor CKD in real time at the patient's bedside.In the context of promoting tiered diagnosis and treatment,the sHABA has the potential to become an essential tool for the early diagnosis and comprehensive management of CKD and other chronic conditions.

The level of urinary albumin is a critical indicator for the early diagnosis and management of chronic kidney disease (CKD). However, existing methods for detecting albumin are not conducive to point-of-care testing due to the complexity of reagent addition and incubation processes. This study presents a smartphone-integrated handheld automated biochemical analyzer (sHABA) designed for point-of-care testing of urinary albumin. The sHABA features a pre-loaded, disposable reagent cassette with reagents for the albumin assay arranged in the order of their addition within a hose. The smartphone-integrated analyzer can drive the reagents following a preset program, to enable automatic sequential addition. The sHABA has a detection limit for albumin of 5.9 mg/L and a linear detection range from 7 to 450 mg/L. The consistency of albumin level detection in 931 urine samples using sHABA with clinical tests indicates good sensitivity (95.78%) and specificity (90.16%). This research advances the field by providing an automated detection method for albumin in a portable device, allowing even untrained individuals to monitor CKD in real time at the patient's bedside. In the context of promoting tiered diagnosis and treatment, the sHABA has the potential to become an essential tool for the early diagnosis and comprehensive management of CKD and other chronic conditions.

Human Respiratory Stem Cells (RSCs) play a crucial role in the maintenance, repair and regeneration of the respiratory system. As a novel therapeutic method, stem cell therapy is a popular research direction in the medical field. And with the in-depth research on the mechanism of pneumonia caused by respiratory infections in recent years, the use of RSCs to explore pneumonia caused by respiratory infections and its therapeutic strategies has become a hot topic. In this paper, we firstly outlined the types of RSCs, summarized the mechanism of pneumonia caused by respiratory tract infections, discussed the advantages of RSCs application and the progress of culture differentiation, and elaborated the therapeutic exploration of RSCs in pneumonia caused by respiratory tract infections.

Objective:By analyzing peripheral blood indicators, we constructed and validated a novel lung cancer prediction model using machine learning algorithms for riskassessment of lung cancer.Methods:A retrospective case-control design was conducted on the clinical data of 194 newly diagnosed lung cancer patients [mean age: (66.80±9.09) years, 126 males and 68 females] admitted to Qilu Second Hospital of Shandong University between January 9, 2020, and December 31, 2024, serving as the case group. During the same period, 290 healthy individuals undergoing physical examinations [mean age: (61.18±14.31) years, 155 males and 135 females J were enrolled as the control group. A total of 46 peripheral blood indicators-including routine blood tests, coagulation parameters, liver function markers, and tumor-related indices-along with two basic characteristics (age and sex) were included in the analysis. Eleven machinelearning algorithms including logistic regression, randomforest, support vector classifier, extreme gradient boosting, gradient boosting decision tree, decision tree, multilayer perceptron, linear discriminant analysis, adaptive boosting, Gaussian naive Bayes and light gradient-boosting machine-were trained for early diagnosis of lung-cancer.Model performance was evaluated by the area under the ROC, accuracy, positive predictive value, negative predictive value, F1-score and 95% confidence interval (95% CI). The best performing algorithm was selected, and feature importance was ranked with Shapley Additive Planation(SHAP) values. Results:The support-vector classifier achieved the best performance for predicting lung-cancer risk (AUC=0.974; 95 % CI 0.951-0.989) and was retained for final model establishment. After 20 rounds of stratified 10-fold cross-validation the mean AUC was 0.950; learning-curve, decision-curve and calibration analyses confirmed its superior generalizability, clinical utility and calibration.SHAPley additive explanations and decision-tree feature importance consistently identified neuron-specific enolase, carcinoembryonic antigen, and squamous-cell carcinoma antigen as the three most critical predictors of lung-cancer risk. Conclusion:An SVM-based lung cancer prediction model was successfully established to determine the risk of developing lung cancer.