Objective Based on the radiomics features extracted from the unenhanced CT images of the lower abdomen, a variety of machine learning models were constructed to explore their application value in the assessment of split renal function. Methods A retrospective analysis was conducted on the unenhanced CT images from 240 single kidneys in patients with clinically suspected renal dysfunction. Based on the results of single-photon emission computed tomography renal dynamic imaging, the cases were classified into the normal glomerular filtration rate group (n=118) and the decreased glomerular filtration rate group (n=122). The region of interest was outlined on the unenhanced CT images and the radiomics features were extracted. The features were selected by correlation analysis and least absolute shrinkage and selection operator, and the machine learning models were constructed based on the algorithms of decision tree, support vector machine, random forest, logistic regression, and extreme gradient boosting. Area under the receiver operating characteristic curve, accuracy, sensitivity, and specificity were calculated to compare the performance of different models. Results Sixteen radiomics features were selected for constructing the machine learning models. The support vector machine model showed relatively high performance for the assessment of split renal function on the test set, with an area under the receiver operating characteristic curve value of 0.883 (95% confidence interval: 0.804-0.961), an accuracy of 0.778, a sensitivity of 0.811, and a specificity of 0.743. Conclusion The machine learning models constructed based on unenhanced CT radiomics can be used to preliminarily assess split renal function, which provides an innovative, convenient, and safe method for clinical diagnosis and has positive significance for treatment.

AIM: To observe the characteristics of best corrected visual acuity(BCVA), microperimetry(MP), multifocal electroretinogram(mfERG), and optical coherence tomography angiography(OCTA)parameters in patients with idiopathic epiretinal membrane(IERM), and conduct a comparative study and correlation analysis on these parameters.METHODS:This was a cross-sectional study. A total of 56 patients(56 eyes)diagnosed with IERM who visited our hospital between February 2021 and November 2024 were collected as IERM group, and 33 healthy individuals(33 eyes)undergoing physical examinations were included as control group. Parameters were compared between the IERM group and the control group, as well as among IERM subgroups at different stages. Additionally, correlations among visual function parameters and between these visual function parameters and vascular structural OCTA parameters were analyzed.RESULTS: The general data of patients in the control group and IERM group were comparable. In the IERM group, BCVA, retinal sensitivity(RS), P1 wave amplitude in ring 1, superficial capillary plexus parafoveal vessel density(SCPpfvd), deep capillary plexus parafoveal vessel density(DCPpfvd), and the foveal avascular zone(FAZ)area were significantly lower than the control group(all P<0.01). In contrast, central retinal thickness(CRT), superficial capillary plexus foveal vessel density(SCPfvd), and deep capillary plexus foveal vessel density(DCPfvd)were significantly increased(all P<0.001). When comparing different stages of IERM, significant differences were observed in BCVA, CRT, RS, SCPfvd, and FAZ(all P<0.01). In eyes affected by IERM, BCVA(LogMAR)was negatively correlated with RS; P1 wave amplitude in ring 1 positively correlated with P1 wave implicit time in ring 1; SCPfvd positively correlated with BCVA(LogMAR)and negatively correlated with RS; DCPfvd negatively correlated with P1 wave implicit time in ring 1; and DCPpfvd positively correlated with RS(all P<0.05).CONCLUSION: Eyes with IERM exhibit abnormalities in visual function parameters and vascular structure, with varying degrees of alteration in BCVA, CRT, RS, SCPfvd, and FAZ across different stages. Comprehensive evaluation of BCVA, MP, mfERG, and OCTA contributes to a deeper understanding of the nature of IERM and aids in formulating appropriate diagnosis and treatment plans.

Stem cells play a crucial role in maintaining tissue regenerative capacity and homeostasis. However, mechanisms associated with stem cell senescence require further investigation. In this study, we conducted a proteomic analysis of human dental pulp stem cells (HDPSCs) obtained from individuals of various ages. Our findings showed that the expression of NUP62 was decreased in aged HDPSCs. We discovered that NUP62 alleviated senescence-associated phenotypes and enhanced differentiation potential both in vitro and in vivo. Conversely, the knocking down of NUP62 expression aggravated the senescence-associated phenotypes and impaired the proliferation and migration capacity of HDPSCs. Through RNA-sequence and decoding the epigenomic landscapes remodeled induced by NUP62 overexpression, we found that NUP62 helps alleviate senescence in HDPSCs by enhancing the nuclear transport of the transcription factor E2F1. This, in turn, stimulates the transcription of the epigenetic enzyme NSD2. Finally, the overexpression of NUP62 influences the H3K36me2 and H3K36me3 modifications of anti-aging genes (HMGA1, HMGA2, and SIRT6). Our results demonstrated that NUP62 regulates the fate of HDPSCs via NSD2-dependent epigenetic reprogramming.
Humans ; Dental Pulp/cytology* ; Nuclear Pore Complex Proteins/genetics* ; Cellular Senescence/genetics* ; Stem Cells/metabolism* ; Epigenesis, Genetic ; Cell Proliferation ; Cell Differentiation ; Histone-Lysine N-Methyltransferase/metabolism* ; Cells, Cultured ; Cellular Reprogramming ; Cell Movement ; Proteomics

Metabolomics covers a wide range of applications in life sciences, biomedicine, and phytology. Data acquisition (to achieve high coverage and efficiency) and analysis (to pursue good classification) are two key segments involved in metabolomics workflows. Various chemometric approaches utilizing either pattern recognition or machine learning have been employed to separate different groups. However, insufficient feature extraction, inappropriate feature selection, overfitting, or underfitting lead to an insufficient capacity to discriminate plants that are often easily confused. Using two ginseng varieties, namely Panax japonicus (PJ) and Panax japonicus var. major (PJvm), containing the similar ginsenosides, we integrated pseudo-targeted metabolomics and deep neural network (DNN) modeling to achieve accurate species differentiation. A pseudo-targeted metabolomics approach was optimized through data acquisition mode, ion pairs generation, comparison between multiple reaction monitoring (MRM) and scheduled MRM (sMRM), and chromatographic elution gradient. In total, 1980 ion pairs were monitored within 23 min, allowing for the most comprehensive ginseng metabolome analysis. The established DNN model demonstrated excellent classification performance (in terms of accuracy, precision, recall, F1 score, area under the curve, and receiver operating characteristic (ROC)) using the entire metabolome data and feature-selection dataset, exhibiting superior advantages over random forest (RF), support vector machine (SVM), extreme gradient boosting (XGBoost), and multilayer perceptron (MLP). Moreover, DNNs were advantageous for automated feature learning, nonlinear modeling, adaptability, and generalization. This study confirmed practicality of the established strategy for efficient metabolomics data analysis and reliable classification performance even when using small-volume samples. This established approach holds promise for plant metabolomics and is not limited to ginseng.

Objective:To investigate the correlation between liver stiffness and histopathological changes in a rat model of acute hepatitis using virtual touch tissue imaging quantification (VTIQ) technology.Methods:A total of 100 SPF-grade SD rats were randomly divided into 3 groups: control ( n=30), low-dose ( n=35), and high-dose ( n=35) groups. Acute hepatitis models were induced in the low-dose and high-dose groups using 400 mg/kg and 600 mg/kg of Thioacetamide (TAA), respectively. Liver stiffness parameters of the right median lobe and right lobe were measured using VTIQ technology, Mean-H and Mean-L represent the liver lobes with higher and lower liver stiffness measurments, respectively, while Mean represent the average of the measurements from both liver lobes. Comparative analyses of liver stiffness parameters were performed across three groups and between the two lobes of the liver. The correlations between the Mean values of liver stiffness and semi-quantitative histopathological data were investigated. Ten rats were randomly selected from each of the 3 groups to test the repeatability of VTIQ values before and after euthanasia with intraperitoneal anesthesia. Subsequently, 10 rats after euthanasia from each 3 group were randomly chosen to assess the repeatability of VTIQ measurements for inter-observer and intra-observer variabilities. Results:VTIQ results showed statistically significant differences in Mean, Mean-H, and Mean-L among the 3 groups (all P<0.01). The high-dose group had higher measurements compared to the low-dose and control groups, with significant intergroup differences (all P<0.01). Significant differences in Mean-H and Mean-L were observed between the two liver lobes in both low and high-dose groups (all P<0.01). The Mean value showed significant positive correlations with semi-quantitative histopathological data of hepatocellular edema, periportal inflammatory cell infiltration, macrophage proliferation, and bile duct proliferation ( r=0.391, 0.648, 0.577, 0.542; all P<0.01). Multivariate linear regression analysis indicated that hepatocellular edema, eosinophilic change, and bile duct proliferation significantly and positively predicted the Mean value (β=-0.278, -0.196, -0.333; all P<0.05). There were no significant differences of VTIQ measurements befor and after euthanasia (all P>0.05), with repeatability coefficients of 0.166, 0.182, 0.185 for Mean, Mean-H, and Mean-L, respectively. Post-euthanasia, inter- and intra-observer VTIQ differences remained non-significant (all P>0.05), with Mean, Mean-H, Mean-L coefficients of 0.114, 0.194, 0.165 and 0.206, 0.322, 0.268, respectively. Conclusions:VTIQ technology demonstrates potential clinical value in assessing a rat model of acute hepatitis, offering a new perspective for non-invasive evaluation of acute hepatitis. However, its clinical application requires further validation.

Objective:To analyze the epidemiological and clinical characteristics of respiratory syncytial virus (RSV) infection in children in Jiangsu Province from 2014 to 2023.Methods:The acute respiratory infection cases in children aged 0-14 years were selected from outpatient/emergency or inpatient departments in 2 surveillance sentinel hospitals, respectively, in Nanjing, Suzhou and Taizhou of Jiangsu from 1 July 2014 to 31 December 2023, and RSV nucleic acid test was conducted and the intensity of the RSV infection was accessed by WHO influenza epidemiological threshold method, and case information and clinical data were collected. χ2 test was used to compare the differences between groups, and the Bonferroni method was used for pairwise comparisons between groups. Results:In 4 946 cases of acute respiratory infections, the RSV positive rate was 8.21% (406/4 946), and the age M( Q1, Q3) of the cases was 1 (0, 3) years. The RSV positive rate was 10.92% (258/2 362) during 2014-2019 and 6.06% (118/1 948) during 2019-2023, the difference was significant ( χ2=31.74, P<0.001). RSV infection mainly occurred from October to March during 2014-2019, with the incidence peak in December and moderate or higher intensity. The seasonality of RSV infection was not obvious during 2019-2023, with low intensity. The RSV positive rate was highest in children in age group 0- years (17.85%, 151/846), and the positive rate declined gradually with age ( χ2=184.51, P<0.001). The RSV positive rate was higher in inpatient cases (9.84%, 244/2 480) than in outpatient/emergency cases (6.57%, 162/2 466) ( χ2=17.54, P<0.001). In the 155 RSV infection cases with complete clinical data, the clinical symptoms mainly included cough (99.35%, 154/155), fever (55.48%, 86/155), and shortness of breath (45.16%, 70/155). In the cases aged <6 months, the proportion of those with fever was low, but the proportion of those with shortness of breath, transferred to intensive care units, and receiving oxygen therapy were higher (all P<0.05). Children aged <6 months and those with underlying diseases were more likely to have severe RSV infection (all P<0.05). Conclusions:RSV infection in children in Jiangsu Province showed seasonal prevalence in winter from 2014 to 2019. Since 2020, the seasonal characteristics of the epidemic have changed, the epidemic period has been dispersed and the epidemic intensity has decreased. Infants <1 year old were at high risk for RSV infection, and those <6 months old and with underlying diseases might have severe infection.

Objective To study the quality comparability of human coagulation factor Ⅷ(FⅧ)produced before and after the change of factory site.Methods A comparative study was carried out on quality quantitative indexes,related im-purities and stability data of FⅧ produced before and after the change of factory site.Results The FⅧ quantitative quality before and after the change of factory site all met the quality standard,and the related impurities including aluminum resi-due,tributyl phosphate residue,polysorbate 80 residue and PEG residue all met the quality standard.Other impurities in-cluding human fibrinogen,fibronectin,plasminogen,IgA,IgM and IgG were extremely low in content and equivalent in quality.The content of VWF(von Willebrand factor)had no obvious change before and after the change of factory site,but was significantly higher than that of other domestic manufacturers'commercial products.The results of accelerated stability and long-term stability tests showed that the titer of FⅧ fluctuated within the methodological error range,and the results all met the quality standard.Conclusion The change of factory site of FⅧ has no effect on the quality.

Objective:To analyse the clinical significance of selective single embryo transfer by time-lapse mo-nitoring(TLM)or conventional morphology assessment(CMA)in vitro fertilization/intracytoplasmic sperm in-jection and embryo transfer(IVF/ICSI-ET),and to initially explore the predictive value of Raman spectral analy-sis of embryo culture medium for clinical pregnancy rate.Methods:The study is a prospective randomized con-trolled clinical trial.We assigned 139 patients treated with IVF/ICSI-ET in Reproductive and Genetics Center of Suzhou Municipal Hospital from April 2019 to July 2020,which were randomly assigned to either the CMA or the TLM group.We performed selective single-embryo transfer(fresh cycle and FET)after selecting the optimal em-bryos with TLM or CMA respectively.If the patient's first embryo transfer was unsuccessful,a second one would be performed to compare the differences in the cumulative live birth rate of embryo transfer and other pregnancy outcomes between the two groups.Meanwhile,we collected 15 μl of embryo culture medium at day 3 after IVF/ISCI fertilization for Raman spectroscopy analysis.Results:There were no differences in cumulative live birth,cu-mulative clinical pregnancy,cumulative premature birth,cumulative early spontaneous abortion,cumulative ectopic pregnancy and LGA or SGA between TLM and CMA groups(P＞0.05).The Neonatal sex ratio in the TLM group was lower than that in the CMA group,but the difference was not significant(P＞0.05).Raman spectros-copy analysis of embryo culture medium predicted the clinical pregnancy rate with 67.21％accuracy.Conclu-sions:In young women with a good ovarian reserve,the advantage of using TLM to evaluate embryos is not obvi-ous,so we should remain vigilant that embryo selection based on morphokinetic parameters may affect the sex ratio.Raman spectroscopic analysis of embryo culture medium is not yet able to effectively predict the planting ability of embryos.

Schimke immuno-osseous dysplasia (SIOD)caused by SMARCAL1 gene mutations is a rare genetic disorder characterized by multi-system involvement, including T-cell dysfunction, skeletal dysplasia, disproportionate short stature, nephrotic syndrome, and kidney failure. This multidisciplinary consultation involved a 9-year-old boy with intrauterine growth retardation, presenting with short stature, T-cell lymphopenia, proteinuria, and degenerative bone and joint disease. Treatment primarily focused on symptomatic and supportive care. Through the multidisciplinary rare disease consultation, holistic support was provided to the patient, offering comprehensive care from various specialtiesx.We also aim to use this case report to enhance clinicians′ under-standing of SIOD and improve the management and treatment of rare diseases.