Objective To explore the risk factors of painful diabetic neuropathy (PDN) in patients with type 2 diabetes mellitus (T2DM). Methods A total of 269 patients with type 2 diabetes mellitus (T2DM) who were treated in the Department of Endocrinology at Zhangjiagang Hospital Affiliated to Soochow University from January 2020 to December 2024 were selected. The patients were divided into two groups: T2DM without PDN (n=190) and T2DM with PDN (n=79). The general characteristics and biochemical indicators of the two groups of patients were compared. Multivariate logistic regression was used to analyze the associated factors with PDN in T2DM. The receiver operating characteristic (ROC) curve was used to evaluate fasting C-peptide (FC-P), body mass index (BMI), and disease duration to predict the risk of PDN. Results Compared with the T2DM group without concurrent PDN, the T2DM group with concurrent PDN had a longer disease course, lower BMI, higher HDL-C, lower FC-P, and a higher proportion of diabetic retinopathy. The differences between the two groups were statistically significant (P<0.05). The results of multivariate logistic regression analysis showed that BMI, duration, and FC-P were associated factors of PDN. Conclusion BMI, duration and FC-P are associated factors of painful neuropathy complicated with type 2 diabetes.

The PA-PB1 interface of the influenza polymerase is an attractive site for antiviral drug design. In this study, we designed and synthesized a mini-library of indazole-containing compounds based on rational structure-based design to target the PB1-binding interface on PA. Biological evaluation of these compounds through a viral yield reduction assay revealed that compounds 27 and 31 both had a low micromolar range of the half maximal effective concentration (EC₅₀) values against A/WSN/33 (H1N1) (8.03 μmol/L for 27; 14.6 μmol/L for 31), while the most potent candidate 24 had an EC₅₀ value of 690 nM. Compound 24 was effective against different influenza strains including a pandemic H1N1 strain and an influenza B strain. Mechanistic studies confirmed that compound 24 bound PA with a K _d which equals to 1.88 μmol/L and disrupted the binding of PB1 to PA. The compound also decreased the lung viral titre in mice. In summary, we have identified a potent anti-influenza candidate with potency comparable to existing drugs and is effective against different viral strains. The therapeutic options for influenza infection have been limited by the occurrence of antiviral resistance, owing to the high mutation rate of viral proteins targeted by available drugs. To alleviate the public health burden of this issue, novel anti-influenza drugs are desired. In this study, we present our discovery of a novel class of indazole-containing compounds which exhibited favourable potency against both influenza A and B viruses. The EC₅₀ of the most potent compounds were within low micromolar to nanomolar concentrations. Furthermore, we show that the mouse lung viral titre decreased due to treatment with compound 24. Thus our findings identify promising candidates for further development of anti-influenza drugs suitable for clinical use.

Objective:By analyzing the genetic risk of triglyceride-glucose index(Tyg)and insulin resistance(IR)for cardiovascular disease(CVD), to elucidate the extent to which the contribution of Tyg to the risk of CVD development is influenced by IR genetic risk.Methods:In this study, we selected data from a cohort of elderly people in the Kunshan community, screened 7, 385 individuals with both clinical and genomic data, and calculated the polygenic risk score of insulin resistance(IRPRS)for each participant based on publicly available IR genome-wide association data, and assessed the effect of genetic risk and Tyg level on the risk of developing CVD using a multivariate Cox proportional risk model.Calculating interactions to assess the effects of genetic risk and Tyg levels on the risk of developing CVD, the effects of Tyg tertile grouping and IRPRS on the risk of developing CVD were assessed using a multivariate Cox proportional risk model, and subgroup analyses were performed for gender to assess the effects of Tyg tertile grouping and IRPRS on the risk of developing CVD by gender.Results:In the univariate Cox model, Q3 and IRPRS with the highest TYG levels were significantly associated with the risk of CVD, respectively( HR=1.59, 95% CI: 1.33-1.89; P<0.001; HR=1.61, 95% CI: 1.18-2.20; P=0.003).After adjusting for multiple confounders, the Q3 Group with the highest TYG level was still significantly associated with the risk of CVD( HR=1.28, 95% CI: 1.05-1.57; P=0.014), the Association of TYG with the risk of CVD did not change significantly( HR=1.29, 95% CI: 1.05-1.57; P=0.014).We conducted a subgroup analysis by sex and found that among older men, 13, the highest levels of TYG and IRPRS were significantly associated with CVD risk, respectively( HR=1.70, 95% CI: 1.31.2.20; P<0.001; HR=1.98, 95% CI: 1.24-3.15; P=0.004).After adding IRPRS to the model, the Association of TYG with the risk of CVD remained unchanged( HR=1.69, 95% CI: 1.31-2.19; P<0.001).After adjusting for various confounders, Tyg remained significantly associated with the risk of CVD( HR=1.39, 95% CI: 1.04-1.88; P=0.028), the results showed that TYG remained significantly associated with the risk of CVD( HR=1.41, 95% CI: 1.05-1.90; P=0.023), and the association did not decrease.No Association of IRPRS with CVD risk was found in older women. Conclusions:IRPRS and TYG are the risk factors of CVD, and diet, exercise, drugs and other external factors on TYG are the main risk factors of CVD.For individuals with high genetic factors, the risk of CVD can still be reduced by lifestyle adjustments such as diet, exercise and drug intervention.

Objective To observe the value of 2D SECara-Net and 3D U2-Net models constructed based on 2D maximal intensity projection(MIP)and 3D time-of-flight MR angiography(3D TOF-MRA)images,respectively,also of their combination for MRA detecting unruptured saccular intracranial aneurysms(USIA).Methods Totally 973 patients with single USIA and 300 subjects who underwent healthy physical examination were retrospectively collected and divided into training set(n=923,containing 723 cases of USIA and 200 healthy subjects)and test set(n=350,containing 250 cases of USIA and 100 healthy subjects)at the ratio of 7:3.Pre-processed 3D TOF-MRA and the obtained 2D-MIP images in training set were imported into 3D U2-Net and 2D SECara-Net models for training and adjusting parameters,respectively.The efficiency of 2 models and their combination for detecting USIA were evaluated.Results The sensitivity,specificity and accuracy of 2D SECara-Net model for detecting USIA in test set was 78.80％(197/250),95.00％(95/100)and 83.43％(292/350),of 3D U2-Net model was 82.80％(207/250),86.00％(86/100)and 83.71％(293/350),respectively.The specificity of 2D SECara-Net model was higher than that of 3D U2-Net model(P=0.030),while no significant difference of sensitivity nor accuracy was found between 2 models(both P＞0.05).The specificity of the combination of the 2 models was 99.00％(99/100),higher than that of 3D U2-Net model(P＜0.05),and the sensitivity and accuracy of the combination was 91.20％(228/250)and 93.43％(327/350),respectivelty,both higher than those of 2 single models(all P＜0.05).Conclusion 2D SECara-Net and 3D U2-Net models had similar,sensitivity and accuracy for MRA detecting USIA.Combination of them could improve the detecting efficacy.

Objective:To investigate the clinical significance of prenatal screening and genetic analysis in the diagnosis of fetal aberrant right subclavian artery(ARSA).Methods:The ultrasonographic features of ARSA fetu-ses detected by prenatal ultrasound at the University of Hong Kong-Shenzhen Hospital from October 2017 to March 2022 were retrospectively analyzed.The fetuses were divided into isolated ARSA group and complicated ARSA group.Their genetic analysis results and pregnancy outcome were analyzed.Results:Among 30,260 preg-nant women,185 fetuses were diagnosed with ARSA by prenatal ultrasound screening,with an incidence of 0.6％;5 fetuses(2.6％)were diagnosed by ultrasound in the first trimester,and the remaining were diagnosed by fetal grade Ⅲ structural ultrasound examination at 20～24 weeks' gestation.Among them,158 fetuses(85.4％)had isolated ARSA,and 27(14.6％)had complicated ARSA.Among fetuses with ARSA and other structural abnormal-ities,cardiovascular system accounted for the highest proportion(44.4％),followed by nervous system(22.2％)and urinary system(22.2％).Through genetic analysis,8.3％(4/48)fetuses with isolated ARSA and 40.0％(4/10)fetuses with complicated ARSA were found to have chromosomal numerical or structural abnormalities,with statis-tically significant difference between the two groups(P=0.024).Genetic analysis was completed in 48 isolated ARSA,and the positive rate of pathogenic copy number variants(CNV)was 4.2％(2/48),which was not signifi-cantly different from the pathogenic CNV incidence rate of 0.4％(1/239)in elderly pregnant cases during the same period(P=0.074).The Down syndrome positive likelihood ratio(LR+)for isolated ARSA was 2.5 and the Down syndrome LR+for complicated ARSA was 49.6.Conclusions:Complicated ARSA is often associated with cardiovascular abnormalities and is more likely to develop Down syndrome than isolated ARSA.Although the inci-dence of pCNV in isolated ARSA is slightly higher than the natural incidence,the correlation between pCNV and i-solated ARSA has not been clearly determined by the current sample size.

Objective To develop a graded early mobility implementation pathway for critically ill adult patients in tertiary hospitals in Beijing and to preliminarily validate its feasibility and effectiveness.Methods Based on the"goal-directed"early mobility concept,a graded early mobility implementation pathway for critically ill patients was developed through evidence synthesis and the Delphi method,consisting of 3 components:patient inclusion,mobility implementation,and mobility evaluation.Using convenience sampling,patients meeting inclusion criteria in the general ICU of a tertiary hospital in Beijing from October 2024 to January 2025 were selected as participants.Among them,25 patients admitted from December 2024 to January 2025 were assigned to an experimental group and received early mobility interventions following the developed pathway.25 patients admitted from October to November 2024 served as a control group and received routine ICU mobility care.Outcomes including diaphragm excursion,muscle strength,ICU length of stay,and adverse events were compared between the 2 groups.Results The graded early mobility pathway achieved an implementation rate of 70.05％in the experimental group,significantly higher than it in the control group(P＜0.001),without increasing adverse events.Post-intervention diaphragm excursion in the experimental group was significantly greater than that in the control group(P=0.018).Conclusion The developed graded early mobility implementation pathway for ICU patients demonstrates scientific rigor and clinical practicality.It provides a reference for the widespread and effective implementation of early mobility in ICUs,standardizing its clinical application.

Objective To observe the value of 2D SECara-Net and 3D U2-Net models constructed based on 2D maximal intensity projection(MIP)and 3D time-of-flight MR angiography(3D TOF-MRA)images,respectively,also of their combination for MRA detecting unruptured saccular intracranial aneurysms(USIA).Methods Totally 973 patients with single USIA and 300 subjects who underwent healthy physical examination were retrospectively collected and divided into training set(n=923,containing 723 cases of USIA and 200 healthy subjects)and test set(n=350,containing 250 cases of USIA and 100 healthy subjects)at the ratio of 7:3.Pre-processed 3D TOF-MRA and the obtained 2D-MIP images in training set were imported into 3D U2-Net and 2D SECara-Net models for training and adjusting parameters,respectively.The efficiency of 2 models and their combination for detecting USIA were evaluated.Results The sensitivity,specificity and accuracy of 2D SECara-Net model for detecting USIA in test set was 78.80％(197/250),95.00％(95/100)and 83.43％(292/350),of 3D U2-Net model was 82.80％(207/250),86.00％(86/100)and 83.71％(293/350),respectively.The specificity of 2D SECara-Net model was higher than that of 3D U2-Net model(P=0.030),while no significant difference of sensitivity nor accuracy was found between 2 models(both P＞0.05).The specificity of the combination of the 2 models was 99.00％(99/100),higher than that of 3D U2-Net model(P＜0.05),and the sensitivity and accuracy of the combination was 91.20％(228/250)and 93.43％(327/350),respectivelty,both higher than those of 2 single models(all P＜0.05).Conclusion 2D SECara-Net and 3D U2-Net models had similar,sensitivity and accuracy for MRA detecting USIA.Combination of them could improve the detecting efficacy.

Objective:To investigate the clinical significance of prenatal screening and genetic analysis in the diagnosis of fetal aberrant right subclavian artery(ARSA).Methods:The ultrasonographic features of ARSA fetu-ses detected by prenatal ultrasound at the University of Hong Kong-Shenzhen Hospital from October 2017 to March 2022 were retrospectively analyzed.The fetuses were divided into isolated ARSA group and complicated ARSA group.Their genetic analysis results and pregnancy outcome were analyzed.Results:Among 30,260 preg-nant women,185 fetuses were diagnosed with ARSA by prenatal ultrasound screening,with an incidence of 0.6％;5 fetuses(2.6％)were diagnosed by ultrasound in the first trimester,and the remaining were diagnosed by fetal grade Ⅲ structural ultrasound examination at 20～24 weeks' gestation.Among them,158 fetuses(85.4％)had isolated ARSA,and 27(14.6％)had complicated ARSA.Among fetuses with ARSA and other structural abnormal-ities,cardiovascular system accounted for the highest proportion(44.4％),followed by nervous system(22.2％)and urinary system(22.2％).Through genetic analysis,8.3％(4/48)fetuses with isolated ARSA and 40.0％(4/10)fetuses with complicated ARSA were found to have chromosomal numerical or structural abnormalities,with statis-tically significant difference between the two groups(P=0.024).Genetic analysis was completed in 48 isolated ARSA,and the positive rate of pathogenic copy number variants(CNV)was 4.2％(2/48),which was not signifi-cantly different from the pathogenic CNV incidence rate of 0.4％(1/239)in elderly pregnant cases during the same period(P=0.074).The Down syndrome positive likelihood ratio(LR+)for isolated ARSA was 2.5 and the Down syndrome LR+for complicated ARSA was 49.6.Conclusions:Complicated ARSA is often associated with cardiovascular abnormalities and is more likely to develop Down syndrome than isolated ARSA.Although the inci-dence of pCNV in isolated ARSA is slightly higher than the natural incidence,the correlation between pCNV and i-solated ARSA has not been clearly determined by the current sample size.

Enteric human adenovirus(HAdV),a common cause of acute viral gastroenteritis in children,frequently triggers spo-radic infections,nosocomial transmissions,and outbreaks in kindergarten settings.This study was aimed at investigating the molecular characteristics and genetic evolution of enteric HAdV among patients with acute gastroenteritis younger than 5 years in China,to pro-vide foundational data for disease prevention and control.A total of 8 074 stool samples were collected from hospitalized or outpatient children younger than 5 years with acute gastroenteritis in China during 2023.HAdV screening was conducted with real-time fluores-cence PCR.Positive samples were sequenced,then subjected to bioinformatics analysis including genotyping,homology assessment,and phylogenetic analysis with GenBank,BioAider,and MEGA11.0.A total of 370 samples(4.58%)tested positive for HAdV.Two enteric HAdV genotypes were identified:HAdV-F41(which predominated,at 98.09%)and HAdV-F40(1.90%).HAdV-F41 was the dominant genotype among patients with acute gastroenteritis younger than 5 years in China.Bioinformatics analysis indicated that the predominant HAdV lineages in China were lineage 1 and 2,whereas European lineage 3 showed no influence.Systematic and long-term surveillance of HAdV should help elucidate its diversity and evolutionary patterns in China,thereby providing scientific evi-dence for developing more effective prevention strategies.

This study investigated the full-genome molecular characteristics of a rotavirus vaccine-derived strain,G1P[8]geno-type A group rotavirus RVA/Human-wt/CHN/HN1140/2021/G1P[8](referred to as HN1140).The gene fragments of the HN1140 strain were amplified with reverse transcription-polymerase chain reaction(RT-PCR)combined with whole-genome primers to obtain the full genome sequence.Genotyping was performed with the online genotyping tool RotaC 2.0,and similarity and genetic evolution analyses for each gene segment were conducted in DNAstar5.1 and MEGA11.0 software.The genotype of the HN1140 strain was deter-mined to be G1-P[8]-I2-R2-C2-M2-A3-N2-T6-E2-H3.Phylogenetic analysis demonstrated that all 11 genomic segments clus-tered closely with the RotaTeq vaccine strains,sharing 99.7%-100%nucleotide sequence similarity.Notably,VP1,VP2,VP6,and NSP2-NSP5 segments showed 100%nucleotide identity with RotaTeq strains.Comparative genomic analysis identified 13 nucleotide and 8 amino acid substitutions between HN1140 and RotaTeq strains,localized within the VP7,VP4,VP1,VP2,VP3,and NSP1 segments.The HN1140 strain exhibited the genotype G1-P[8]-A3-T6-H3,which was consistent with the typical profile of a vaccine-derived reassortant.This strain demonstrated high genetic similarity to RotaTeq vaccine strains,with nucleotide sequence identity ranging from 99.7%to 100%.These findings suggested that HN1140 evolved from RotaTeq vaccine strains through genetic reassortment.