This paper proposes a two-stage method integrating visual foundation models （VFM） and diffusion models. The segment anything model （SAM） as VFM is combined with the SegRefiner diffusion model to construct the SAM-SegRefiner framework for automated segmentation of edema， inflammation， and thrombus regions in histopathological images of hemorrhoidal tissue， providing a reproducible technical tool for the objective quantification of pathological morphology and its application in traditional Chinese medicine （TCM） syndrome research. Trained and validated on multi-center retrospective data， the SAM-SegRefiner model achieved an average pixel accuracy of 95.32% and a mean intersection over union （mIoU） of 66.81% on an independent test set， significantly outperfor-ming comparative models such as U-Net， MixU-Net， and SAM-Med2D， and also demonstrating robust cross-center generalization capability. Furthermore， by correlating the quantitatively segmented results from the model with the patients' TCM syndrome types， the potential associations between pathomorphological features and TCM syndrome differentiation have been explored. The analysis revealed no statistically significant differences in the degree of inflammatory infiltration and thrombus formation among different syndrome types， suggesting a complex relationship between local pathological changes and systemic syndrome manifestations.

This paper introduces a real-world cohort research model for community-acquired pneumonia （CAP） based on the Jiangsu Traditional Chinese Medicine （TCM） Dominant Diseases Diagnosis and Treatment Data Platform. Firstly， data cleaning is performed by standardizing diagnosis， symptoms， treatment and imaging， intelligently extracting unstructured information， and cleaning and constructing a standardized database. Secondly， for cohort establishment， CAP patients across the province are screened in accordance with CAP diagnostic criteria to build a high-quality disease-specific cohort. Lastly， in terms of protocol design， the characteristics of TCM research and the CAP disease profile are considered to determine appropriate inclusion and exclusion criteria， estimate sample size， define interventions， outcomes and economic evaluations， providing a reference for real-world TCM research on CAP.

This paper introduces a real-world cohort research model for community-acquired pneumonia （CAP） based on the Jiangsu Traditional Chinese Medicine （TCM） Dominant Diseases Diagnosis and Treatment Data Platform. Firstly， data cleaning is performed by standardizing diagnosis， symptoms， treatment and imaging， intelligently extracting unstructured information， and cleaning and constructing a standardized database. Secondly， for cohort establishment， CAP patients across the province are screened in accordance with CAP diagnostic criteria to build a high-quality disease-specific cohort. Lastly， in terms of protocol design， the characteristics of TCM research and the CAP disease profile are considered to determine appropriate inclusion and exclusion criteria， estimate sample size， define interventions， outcomes and economic evaluations， providing a reference for real-world TCM research on CAP.

BACKGROUND:Cervical disc herniation can cause pain in the neck and shoulder area,as well as radiating pain in the upper limbs.The incidence rate is increasing year by year and tends to affect younger individuals.Fully understanding the biomechanical characteristics of the cervical spine in adolescents is of great significance for preventing and delaying the onset of cervical disc herniation in this age group. OBJECTIVE:To reconstruct cervical spine models for both healthy adolescents and adolescent patients with cervical disc herniation utilizing finite element analysis techniques,to analyze the motion range of the C1-T1 cervical vertebrae as well as the biomechanical characteristics of the annulus fibrosus,nucleus pulposus,endplates,and the cartilage of the small joints. METHODS:A normal adolescent's cervical spine and an adolescent patient with cervical disc herniation were selected in this study.The continuous scan cervical spine CT raw image data were imported into Mimics 21.0 in DICOM format.The C1-T1 vertebrae were reconstructed separately.Subsequently,the established models were imported into the 3-Matic software for disc reconstruction.The perfected models were then imported into Hypermesh software for meshing of the vertebrae,nucleus pulposus,annulus fibrosus,and ligaments,creating valid geometric models.After assigning material properties,the final models were imported into ABAQUS software to observe the joint motion range of the C1-C7 cervical vertebrae segments under different conditions,and to analyze the biomechanical characteristics of the annulus fibrosus,nucleus pulposus,endplates,and small joint cartilage of each cervical spine segment. RESULTS AND CONCLUSION:(1)In six different conditions,the joint motion range of the C1 vertebra in the cervical spine models of both normal adolescent and adolescent patient with cervical disc herniation was higher than that of the other vertebrae.Additionally,the joint motion range of each cervical spine segment in normal adolescent was greater than that in adolescent patient with cervical disc herniation.(2)In the cervical spine model of normal adolescent,the maximum stress values in the annulus fibrosus and nucleus pulposus were found on the left side during C2-3 flexion conditions(0.43 MPa and 0.17 MPa,respectively).In the cervical spine model of adolescent patient with cervical disc herniation,the maximum stress values were found on the left side during C7-T1 flexion conditions(0.54 MPa and 0.18 MPa,respectively).(3)In the cervical spine model of normal adolescent,the maximum stress value on the endplate was found on the left side of the upper endplate of C3 during flexion conditions(1.46 MPa).In the model of adolescent patient with cervical disc herniation,the maximum stress value on the endplate was found on the left side of the lower endplate of C7 during flexion conditions(1.32 MPa).(4)In the cervical spine model of normal adolescent,the maximum stress value in the small joint cartilage was found in the C2-3 left rotation conditions(0.98 MPa).In adolescent patient with cervical disc herniation,the stress in the small joint cartilage significantly increased under different conditions,especially in C1-2,with the maximum stress found during left flexion(3.50 MPa).(5)It is concluded that compared to normal adolescent,adolescent patient with cervical disc herniation exhibits altered cervical curvature and a decrease in overall joint motion range in the cervical spine.In adolescent with cervical disc herniation,there is a significant increase in stress on the annulus fibrosus,nucleus pulposus,and endplates in the C7-T1 segment.The stress on the left articular cartilage of the C1-2 is notable.Abnormal cervical curvature may be the primary factor causing these stress changes.

Objective To examine the changing prevalence and antimicrobial resistance profiles of Burkholderia cepacia in 52 hospitals across China from 2015 to 2021.Methods A total of 9 261 strains of B.cepacia were collected from 52 hospitals between January 1,2015 and December 31,2021.Antimicrobial susceptibility of the strains was tested using Kirby-Bauer method or automated antimicrobial susceptibility testing systems according to a unified protocol.The results were interpreted according to the breakpoints released in the Clinical & Laboratory Standards Institute(CLSI)guidelines(2023 edition).Results A total of 9 261 strains of B.cepacia were isolated from all age groups,especially elderly patients.The proportion was 11.1％(1 032 strains)in children,significantly lower than the proportion in adults.About half(46.5％,4 310/9 261)of the strains were isolated from patients at least 60 years old and 42.3％(3 919/9 261)of the strains were isolated from young adults.Most isolates(71.1％)were isolated from sputum and respiratory secretions,followed by urine(10.7％)and blood samples(8.1％).B.cepacia isolates were highly susceptible to the five antimicrobial agents recommended in the CLSI M100 document(33rd edition,2023).B.cepacia isolates showed relatively higher resistance rates to meropenem and levofloxacin.However,the resistance rates to ceftazidime,trimethoprim-sulfamethoxazole,and minocycline remained below 8.1％.The percentage of B.cepacia strains resistant to levofloxacin was the highest compared to other antibiotics in any of the three age groups(from 12.4％in the patients＜18 years old to 20.6％in the patients aged 60 years or older).Conclusions B.cepacia is one of the clinically important non-fermenting gram-negative bacteria.Accurate and timely reporting of antimicrobial susceptibility test results and ongoing antimicrobial resistance surveillance are helpful for rational prescription of antimicrobial agents and proper prevention and control of nosocomial infections.

Objective:To analyze the effect of deep brain electrical stimulation therapy on Parkinson's disease patients with frozen gait and explore its prognostic factors.Methods:A retrospective study was conducted on 86 Parkinson's disease patients with frozen gait admitted to our hospital from January 2020 to December 2022.All patients received deep brain electrical stimulation therapy.Conduct a 2-year outpatient follow-up for all patients,and analyze the scores of the Parkinson's Disease Rating Scale Part 2(UPDRS Ⅱ),Parkinson's Disease Rating Scale Part 3(UPDRS Ⅲ),Fugl Meyer Lower Limb Motor Function Assessment Scale(FMA),and Schwab&England Daily Activity Scale(S&E)before and after medication opening and closing,6 months after surgery,1 year after surgery,and 2 years after surgery.And based on the 2-year follow-up results of the patients,the prognosis level of the patients was evaluated according to the S&E score during drug closure.60 patients with drug closure S&E score＞70 were divided into a good prognosis group,and 26 patients with drug closure S&E score≤70 were divided into a poor prognosis group.Logistic regression model was used to analyze the influencing factors of deep brain electrical stimulation therapy in Parkinson's disease gait freezing patients.Results:At 6 months,1 year,and 2 years after surgery,the UPDRS Ⅱ and UPDRS Ⅲ scores of all patients were lower than those before surgery(P＜0.05).The UPDRS Ⅱ and UPDRS Ⅲ scores of patients before surgery,6 months,1 year,and 2 years after surgery were lower than those of patients before surgery(P＜0.05);At 6 months,1 year,and 2 years after surgery,the FMA and S&E scores of all patients were higher than those before surgery(P＜0.05).There was no significant difference in the FMA and S&E scores between 6 months,1 year,and 2 years after surgery(P＞0.05).However,the FMA and S&E scores at 6 months,1 year,and 2 years after surgery were lower than those at the end of surgery(P＜0.05);There was no significant difference between the gender,BMI,combined underlying disease,levodopa equivalent dose,preoperative UPDRSⅢ score before the on and off periods,and FMA scores before the on and off periods(P＞0.05),Age,Parkinson's disease stage,preoperative UPDRS Ⅱ score between open and off period,and preoperative S&E score between the good prognosis and off prognosis groups(P＜0.05);The UPDRS Ⅱ score(95％CI:1.353～5.782,OR value:2.462),S&E score(95％CI:1.658～4.687,OR value:2.789),and S&E score(95％CI:1.265～6.879,OR value:3.645)before opening surgery are independent influencing factors on deep brain electrical stimulation therapy in Parkinson's disease gait freezing patients(P＜0.05).Conclusion:Deep brain electrical stimulation therapy can improve the condition and motor function of Parkinson's disease patients with frozen gait,but some patients may have poor prognosis due to the influence of UPDRS Ⅱ score before surgery and S&E scores during the opening and closing phases.

Objective To establish a hydraulic system model of the aqueous humor circulation in the human eye and explore the characteristics of aqueous humor flow and intraocular pressure changes under various types of glaucoma and surgical conditions.Methods A hydraulic system model of aqueous humor circulation was constructed using AMESim software based on ocular structural parameters to simulate the fluid dynamics of aqueous humor in three types of glaucoma and their surgical interventions.Results Significant elevation in intraocular pressure was observed with pathological changes such as trabecular meshwork obstruction,anterior chamber angle contraction,and narrowing of the iris-lens gap.Through simulations of surgical interventions,including trabeculectomy,iridectomy,and ciliary body ablation,aqueous outflow resistance was effectively reduced,leading to a controlled intraocular pressure.Conclusions By successfully simulating both the pathological conditions of glaucoma and the dynamic intraocular pressure changes under surgical interventions,the hydraulic system model accurately reflects the physiological characteristics of glaucoma.The model not only predicts the effects of therapeutic interventions,but also provides reliable simulation support for the diagnosis and optimization of treatment strategies for glaucoma.

ObjectiveIn the realm of forensic science, dust is a valuable type of trace evidence with immense potential for intricate investigations. With the development of DNA sequencing technologies, there is a heightened interest among researchers in unraveling the complex tapestry of microbial communities found within dust samples. Furthermore, striking disparities in the microbial community composition have been noted among dust samples from diverse geographical regions, heralding new possibilities for geographical inference based on microbial DNA analysis. The pivotal role of microbial community data from dust in geographical inference is significant, underscoring its critical importance within the field of forensic science. This study aims to delve deeply into the nuances of fungal community composition across the urban landscapes of Beijing, Fuzhou, Kunming, and Urumqi in China. It evaluates the accuracy of biogeographic inference facilitated by the internal transcribed spacer 2 (ITS2) fungal sequencing while concurrently laying a robust foundation for the operational integration of environmental DNA into geographical inference mechanisms. MethodsITS2 region of the fungal genomes was amplified using universal primers known as 5.8S-Fun/ITS4-Fun, and the resulting DNA fragments were sequenced on the Illumina MiSeq FGx platform. Non-metric multidimensional scaling analysis (NMDS) was employed to visually represent the differences between samples, while analysis of similarities (ANOSIM) and permutational multivariate analysis of variance (PERMANOVA) were utilized to statistically evaluate the dissimilarities in community composition across samples. Furthermore, using Linear Discriminant Analysis Effect Size (LEfSe) analysis to identify and filter out species that exhibit significant differences between various cities. In addition, we leveraged SourceTracker to predict the geographic origins of the dust samples. ResultsAmong the four cities of Beijing, Fuzhou, Kunming and Urumqi, Beijing has the highest species richness. The results of species annotation showed that there were significant differences in the species composition and relative abundance of fungal communities in the four cities. NMDS analysis revealed distinct clustering patterns of samples based on their biogeographic origins in multidimensional space. Samples from the same city exhibited clear clustering, while samples from different cities showed separation along the first axis. The results from ANOSIM and PERMANOVA confirmed the significant differences in fungal community composition between the four cities, with the most pronounced distinctions observed between Fuzhou and Urumqi. Notably, the biogeographic origins of all known dust samples were successfully predicted. ConclusionSignificant differences are observed in the fungal species composition and relative abundance among the cities of Beijing, Fuzhou, Kunming, and Urumqi. Employing fungal ITS2 sequencing on dust samples from these urban areas enables accurate inference of biogeographical locations. The high feasibility of utilizing fungal community data in dust for biogeographical inferences holds particular promise in the field of forensic science.

Objective To explore the effects of different glucose concentrations on the synthesis and secretion of bone collagen in osteoblasts and the impact of diabetes on bone quality in mice.Methods(1)Primary osteoblasts were extracted from the skulls of neonatal mice via collagenase digestion and cultured in four groups under different glucose concentrations:normal glucose(5.5 mmol/L),moderate glucose(11.5 mmol/L),moderate-high glucose(16.5 mmol/L),and high glucose(25 mmol/L).EdU staining was performed to evaluate cell proliferation,while the Transwell assay was used to assess cell migration.Immunofluorescence and Western blotting were performed to detect and quantitatively analyze the content of type Ⅰ collagen(Col-1).Alizarin red S(ARS)staining and alkaline phosphatase(ALP)staining were applied to assess the effects of different glucose concentrations on osteogenic differentiation.(2)Six-week-old male C57BL/6 mice were randomly divided into control group and model group(5 in each group).The model group was fed a high-fat diet for 4 weeks followed by streptozotocin(STZ)injection to establish a diabetic mouse model.The osteogenic differentiation capacity of primary osteoblasts from both groups was assessed.(3)Micro-computed tomography(Micro-CT)was employed to analyze femoral bone mineral density(BMD),bone volume/tissue volume(BV/TV),trabecular number(Tb.N),and trabecular separation(Tb.Sp).Three-point bending test was conducted to evaluate mechanical parameters including maximum load,Young's modulus,fracture energy,and stiffness.RT-qPCR was employed to assess the expression of osteogenic differentiation genes(Alp,Opn,Col1a1,and Lox).Masson staining and Mallory staining were used to evaluate Col-1 content in trabecular bone.Results(1)EdU and Transwell assay results demonstrated that with the gradual increase in glucose concentration,the proliferation and migration abilities of osteoblasts were significantly decreased(P<0.001),and the protein expression levels of Col-1 and lysyl oxidase(LOX)were significantly reduced(P<0.01 or P<0.001).ARS and ALP staining revealed that calcium salt deposition and ALP activity in osteoblasts were significantly decreased with increasing glucose concentration(P<0.05 or P<0.001).(2)Compared with control group,mice in model group exhibited typical"three polies and one weight loss"symptoms(polyuria,polydipsia,polyphagia,and weight loss)of diabetes,and ARS and ALP staining showed a significant reduction in osteoblasts(P<0.001).(3)Micro-CT and three-point bending test results indicated that,compared with control group,mice in model group showed microarchitectural deterioration of bone,decreased Tb.N,increased Tb.Sp,and significantly reduced maximum load,Young's modulus,fracture energy,and stiffness(P<0.05).RT-qPCR results showed that the relative mRNA expression levels of osteogenic differentiation genes(Alp,Opn,Col1a1,and Lox)were significantly decreased in model group compared with control group(P<0.01 or P<0.001).Masson and Mallory staining indicated a significant reduction in collagen content in model group compared with control group(P<0.01).Conclusions High-glucose environment inhibits osteoblast proliferation,differentiation,and migration.Diabetic mice exhibit reduced bone quality and increased bone fragility,potentially mediated by decreased lysyl oxidase and collagen levels.

Objective:To analyze the predictive value of platelet parameters and prognostic nutritional index(PNI)in activity of ulcerative colitis(UC).Methods:This retrospective study included 158 UC patients from the Department of anorectal medicine of our hospital from January 2020 to June 2022.Mayo total score and Truelove-Witts score were used to evaluate clinical activity.Patients with Mayo score>2 was defined as clinically active UC,and patients with Mayo score≤2 was defined as clinically remission.The histological activity was evaluated by Riley score.Evaluation of endoscopic activity of UC patients by Mayo endoscopic score.Results:Among the 158 patients included in the analysis,111 were in remission phase and the remaining 47 were in clinical active phase.Compared with the remission group,the levels of albumin,lymphocytes,and PNI in the clinically active group reduced significantly(P<0.05),while the levels of CRP,fecal calprotectin,neutrophils,white blood cells,NPR,and NLR increased significantly(P<0.05).Fecal calprotectin,CRP,NPR,NLR were significantly positively correlated with Mayo endoscopic score,Riley score,Truelove Witts score,and Mayo total score(P<0.05),while PNI was significantly negatively correlated with Mayo endoscopic score,Truelove Witts score,and Mayo total score(P<0.05).The ROC curve analysis results showed that fecal calprotectin and NPR had similar performance in predicting clinical activity in UC patients(AUC=0.868,0.850),followed by PNI(AUC=0.770)and NLR(AUC=0.756);Fecal calprotectin had the highest performance in predicting endoscopic activity in UC patients(AUC=0.840),followed by NPR(AUC=0.731),NLR(AUC=0.677),and PNI(AUC=0.671).Conclusions:NPR has demonstrated sufficient diagnostic utility in identifying UC patients with clinical and endoscopic activity,and is comparable in diagnostic performance to the fecal biomarker calprotectin.However,PNI has lower performance as a monitoring tool for UC disease activity.