Background: s/Aims: Non-invasive models stratifying clinically significant portal hypertension (CSPH) are limited. Herein, we developed a new non-invasive model for predicting CSPH in patients with compensated cirrhosis and investigated whether carvedilol can prevent hepatic decompensation in patients with high-risk CSPH stratified using the new model. Methods: Non-invasive risk factors of CSPH were identified via systematic review and meta-analysis of studies involving patients with hepatic venous pressure gradient (HVPG). A new non-invasive model was validated for various performance aspects in three cohorts, i.e., a multicenter HVPG cohort, a follow-up cohort, and a carvediloltreating cohort. Results: In the meta-analysis with six studies (n=819), liver stiffness measurement and platelet count were identified as independent risk factors for CSPH and were used to develop the new “CSPH risk” model. In the HVPG cohort (n=151), the new model accurately predicted CSPH with cutoff values of 0 and –0.68 for ruling in and out CSPH, respectively. In the follow-up cohort (n=1,102), the cumulative incidences of decompensation events significantly differed using the cutoff values of <–0.68 (low-risk), –0.68 to 0 (medium-risk), and >0 (high-risk). In the carvediloltreated cohort, patients with high-risk CSPH treated with carvedilol (n=81) had lower rates of decompensation events than non-selective beta-blockers untreated patients with high-risk CSPH (n=613 before propensity score matching [PSM], n=162 after PSM). Conclusions Treatment with carvedilol significantly reduces the risk of hepatic decompensation in patients with high-risk CSPH stratified by the new model.

Objective To investigate the susceptibility and infection characteristics of dengue virus(DENV)in cells derived from diverse tissues of tree shrews and to provide a basis for expanding the repertoire of DENV-permissive cell models in this species.Methods DENV was inoculated at a multiplicity of infection(MOI)of 0.02 into tree shrew skin fibroblasts(TSFs),primary tree shrew renal epithelial cells(pTRECs),tree shrew aortic endothelial cells(TAECs),tree shrew aortic smooth muscle cells(TASMCs),tree shrew hepatocytes(THs),tree shrew corneal stromal cells(TCSCs),tree shrew brain microvascular endothelial cells(TBMECs),and tree shrew retinal microvascular endothelial cells(TRMECs).C6/36,Vero,A549,and BHK-21 cells(commonly used for DENV propagation)were used as positive controls.Over 6 days post-infection,cellular cytopathic effects were monitored at 12-hour intervals using an inverted microscope,viral RNA loads in cell lysates were quantified by real-time fluorescent quantitative PCR to generate proliferation curves,and viral titers were determined by plaque assay.Results Seven types of tree shrew cells,except TRMECs,were susceptible to DENV.Prolonged infection induced pronounced cytopathic effects,including cell rounding,detachment,necrosis,and lysis,across all susceptible cells.The viral RNA loads detected in lysates of pTRECs,TBMECs,TASMCs,TAECs and THs,approached those of positive controls(≥4×107 copies/μL).Infectious progeny viruses were produced by these five cell types,with three(TAECs,3.13×105 PFU/mL;THs,2.03×105 PFU/mL;pTRECs,1.58×105 PFU/mL)exhibiting titers comparable to C6/36(3.85×10 5 PFU/mL)and earlier viral harvests.Conclusion DENV exhibits broad susceptibility to tree shrew cells of multiple tissue origins,with proliferation rates surpassing those of conventional cell lines sourced from other species.TAECs,THs,and pTRECs are particularly suitable for large-scale DENV proliferation,suggesting their potential involvement in in vivo infection.

Objective To investigate the clinical characteristics of severe and critical influenza children and analyze the risk factors affecting the prognosis of children.Methods Clinical data from children diagnosed with severe and critical influenza who were hospitalized in the pediatric intensive care unit of Tongji hospital,Tongji Medical College,Huazhong University of Science and Technology from January 2020 to December 2023 were retrospectively collected and analyzed.Results Among the 121 children,86 cases had severe influenza and 35 cases had critical influenza.There were 102 children in the good prognosis group and 19 children in the poor prognosis group.In all,93 cases(76.9％)were infected with influenza A,27 cases(22.3％)were in-fected with influenza B,and 1 case(0.8％)was infected with both influenza A and B.Sixty-seven cases(55.4％)were under 5 years old.The main clinical manifestations were fever,cough and convulsions.Seventy-five cases(62.0％)were complicated with pneumonia,65 cases(53.7％)were diagnosed with influenza-associated encephalopathy,and 22 cases(18.2％)developed multiple organ dysfunction syndrome.Fifty-five cases(45.5％)were infected with other pathogens,21 cases(17.4％)had bacterial infec-tion.The incidence of bacterial infection in children with critical influenza(31.4％)was higher than that in children with severe influenza(11.6％)(P＜0.05).Bacterial infection,neurological symptoms and elevated PCT were independent risk factors for poor prognosis(P＜0.05).Conclusion Children under 5 years old are more likely to develop severe and critical influen-za.Bacterial co-infection increases the risk of poor prognosis.Poor-prognostic severe or critical influenza is often accompanied by neurological manifestations and residual neurological sequelae.

Objective To investigate the relationship between the threonine and tyrosine kinase(TTK)gene and eyelid basal cell carcinoma(BCC).Methods Bioinformatics methods were used to screen the core gene(namely,TTK)associated with the occurrence and development of BCC from the Gene Expression Omnibus(GEO)database.Surgically removed eyelid BCC tissue specimens(BCC cells were divided into BBC Grade Ⅰ,Ⅱ and Ⅲ groups by tumor grade)and be-nign tumor tissue specimens(Control group)were collected from Ziyang Central Hospital for subsequent experiments.Cel-lular immunofluorescence assay(CIA)was used to detect the expression of the TTK gene in benign and malignant eyelid tumor cells.After knocking down TTK in BCC cells through transfection with lentiviruses(the cells transfected with LV-TTK-shRNA were taken as the TTK-shRNA group,and those transfected with LV-BBC-shRNA were taken as the BBC nega-tive control group),CIA was used to detect the expression of key proteins Bcl-2 and Bax in the apoptotic signaling pathway of each group of cells.Results The bioinformatics analysis showed that the TTK gene was the core gene associated with the occurrence and development of eyelid BCC.CIA detection results revealed that the fluorescence signal intensities in the tumor cytoplasm of Control,BCC Grade Ⅰ,Ⅱ,and Ⅲ groups were 1.03±0.07,1.28±0.11,1.58±0.13 and 1.92±0.17,respectively.The fluorescence signal intensity gradually increased,and the difference in fluorescence signal intensity among the four groups was statistically significant(all P＜0.05).Compared with that in the Control group(1.02±0.05),the cell fluorescence intensity was increased in the BCC negative control group(1.74±0.12)and decreased in the TTK-shRNA group(1.31±0.09)(P＜0.05).The difference in cell fluorescence intensity was significant among the Control,BCC nega-tive control and TTK-shRNA groups(all P＜0.05).The fluorescence intensity of the anti-apoptotic protein Bcl-2 was 1.04±0.12 in the Control group,2.12±0.23 in the BCC negative control group,and 1.43±0.15 in the TTK-shRNA group.The fluorescence intensity of the pro-apoptotic protein Bax was 1.02±0.08 in the Control group,0.64±0.11 in the BCC negative control group,and 1.47±0.16 in the TTK-shRNA group.After TTK knockdown,the expression level of BcL-2 in BCC cells decreased,and that of Bax increased.The fluorescence intensities of BcL-2 and Bax were significantly different among the Control,BCC negative control and TTK-shRNA groups(all P＜0.05).Conclusion The TTK gene plays a role in the regulation of eyelid BCC cell proliferation,and this effect is closely related to the PI3K-AKT-Bcl-2/Bax signaling path-way.

Objective To explore the value of CT-based radiomics and machine learning in predicting the severity of community acquired pneumonia(CAP)in children.Methods The clinical and imaging data of 158 patients diagnosed with CAP in children were analyzed retrospectively.All patients were randomly divided into training set(n=110)and validation set(n=48)in a ratio of 7︰3.Radiomics features were outlined and extracted using 3D Slicer software,and feature selection was achieved using maximum relevance and minimum redundancy(MRMR)and least absolute shrinkage and selection operator(LASSO)algorithms.The construction of the nomogram model and the machine learning combined model was performed by combining clinical features and Radiomics score(Radscore),and its performance was evaluated and validated.Results The area under the curve(AUC)of the clinical model,the radiomics model and the nomogram model in the validation set were classified as 0.82,0.86 and 0.91,respectively.The AUC of the combined multi-layer perceptron(MLP),random forest(RF),and adaptive boosting(ADB)models were 0.926,0.934 and 0.917,respectively in the validation set.Conclusion Radiomics combined with clinical data is expected to be a novel predictor of the severity of CAP in children.MLP,RF and ABD machine learning algorithms can further enable model performance.

AIM:To explore the efficacy and safe-ty of fecal microbiota transplantation combined with immune checkpoint inhibitors(ICIs)for malig-nant tumor patients with failed multi line anti-tu-mor treatment and concomitant cachexia,and to explore the changes in blood immunity and intesti-nal microbial environment in patients.METHODS:Five patients with malignant tumors who failed multi line anti-tumor treatment were enrolled and treated with ICIs combined with fecal microbiota transplantation.The efficacy was evaluated every 2-3 cycles,and adverse reactions were observed.Fe-cal 16srRNA gene sequencing and serum immuno-logical indicators were dynamically detected.RE-SULTS:Except for one patient who died 2.5 months after transplantation due to excessive tumor bur-den at enrollment,the overall survival of the re-maining four patients were extended(7.4,8.3,28.5,52.3 months).One patient with multiple intra-cranial metastases of lung adenocarcinoma signifi-cantly reduced the intracranial metastasis after in-testinal microbiota transplantation and almost dis-appeared.The serum IL-2,IL-10,TGF-β and other indicators of patients increased rapidly and then slowly decreased with the increase of transplanta-tion time,and finally were higher than before trans-plantation,with statistical differences.16srRNA gene sequencing analysis revealed significant differ-ences in the overall distribution of gut microbiota in patients after transplantation,gradually ap-proaching healthy transplant donors.All patients did not experience grade 2 or above adverse reac-tions,and the safety was good.CONCLUSION:For patients with malignant tumors,the combination of fecal microbiota transplantation and immuno-therapy may improve their quality of life,serum im-mune environment,and intestinal microbiota com-position,have a positive impact on survival progno-sis,and are safe and controllable,opening up new treatment methods for end-stage patients.

Objective To explore the value of a CT radiomics model in differentiating Xpert MTB/RIF-negative pulmonary tuber-culosis(PTB)from non-tuberculous mycobacteria pulmonary disease(NTM-PD).Methods A retrospective analysis was performed on 90 patients with Xpert MTB/RIF-negative PTB and 127 patients with NTM-PD.All patients were randomly divided into training set and testing set at the ratio of 7∶3.Radiomics features were extracted from chest CT images.Feature dimensionality reduction and selection were sequentially performed using the maximum relevance and minimum redundancy(mRMR)algorithm and the least absolute shrinkage and selection operator(LASSO)algorithm.Clinical,radiomics,and combined models were constructed by multi-variable logistic regression.The area under the curve(AUC)of receiver operating characteristic(ROC)curve was utilized to assess the model diagnostic performance.Calibration curves were used to evaluate model stability,and the decision curve analysis(DCA)was used to evaluate the clinical utility.Results The combined model had the highest diagnostic performance in both training and testing sets,with AUC of 0.90 and 0.86,respectively,which were higher than clinical and radiomics models.The calibration curve showed that the combined model had a good consistency between the predicted and the actual observations,and DCA revealed the highest clinical benefit.Conclusion The clinical-radiomics combined model has excellent predictive ability in differentiating Xpert MTB/RIF-negative PTB from NTM-PD,which can provide robust support for clinical diagnosis.

Objective:To describe the body mass index (BMI) level and long-term trends of Chinese older adults aged 65 and above.Methods:Older adults aged 65 and above from six waves (2002-2018) of the China Longitudinal Healthy Longevity Survey were selected as the study population. Multiple cross-sectional design with six survey waves conducted in 2002, 2005, 2008, 2011, 2014, and 2018 was adopted, enrolling 15 647, 15 358, 15 622, 9 166, 6 302, and 12 417 participants, respectively. Additionally, a total of 13, 755 participants were included in the cohort study design. Relevant information was collected through questionnaires and physical examinations. The χ2 trend test was used to compare the changes in the rates of underweight and overweight/obesity over the years, and the linear mixed-e?ects model (LMM) was used to fit trajectory curves of BMI changes with advancing age in older adults. Results:The baseline ages of the participants included in 2002, 2005, 2008, 2011, 2014, and 2018 were (85.16±11.26), (84.23±11.83), (84.99±12.16), (81.10±11.86), (78.89±11.30), and (83.08±12.42) years, respectively, with a relatively high proportion of females and rural residents. In the cohort study, the 13 755 participants had a median ( Q1, Q3) follow-up time of 6.5 (5.2, 10.0) years, with a cumulative follow-up duration of 109 041 person-years. In each wave, males had higher BMI than females, urban residents had higher BMI than rural residents, and BMI gradually decreased with increasing age (all P<0.001). The mean BMI of older adults in China increased from (19.37±3.80) kg/m2 in 2002 to (22.04±4.01) kg/m2 in 2018 ( P<0.001). Across all survey years, the prevalence of underweight was consistently higher in women than in men and in rural areas than in urban areas, with an upward trend as age increased (all P<0.001). In 2018, the underweight rates in the 65-79, 80-89, 90-99, and ≥100-year-old age groups were 8.0%, 16.7%, 26.2%, and 35.5%, respectively. Meanwhile, the prevalence of overweight/obesity was higher in men than in women and in urban areas than in rural areas, showing a declining trend with advancing age (all P<0.001). The prevalence of underweight among the older adults decreased significantly from 45.2% in 2002 to 18.9% in 2018 ( P<0.001), while the prevalence of overweight/obesity increased from 11.0% in 1998 to 29.6% in 2018 ( P<0.001). The trajectory curves fitted by the LMM model showed that individuals born in later decades had higher BMI levels at the same age compared to earlier cohorts. Conclusion:From 2002 to 2018, the BMI level among Chinese older adults showed an increasing trend. The prevalence of underweight showed a declining trend, while the rates of obesity and overweight increased. However, the underweight rate remained notably high among the oldest old.

Objective To investigate the susceptibility and infection characteristics of dengue virus(DENV)in cells derived from diverse tissues of tree shrews and to provide a basis for expanding the repertoire of DENV-permissive cell models in this species.Methods DENV was inoculated at a multiplicity of infection(MOI)of 0.02 into tree shrew skin fibroblasts(TSFs),primary tree shrew renal epithelial cells(pTRECs),tree shrew aortic endothelial cells(TAECs),tree shrew aortic smooth muscle cells(TASMCs),tree shrew hepatocytes(THs),tree shrew corneal stromal cells(TCSCs),tree shrew brain microvascular endothelial cells(TBMECs),and tree shrew retinal microvascular endothelial cells(TRMECs).C6/36,Vero,A549,and BHK-21 cells(commonly used for DENV propagation)were used as positive controls.Over 6 days post-infection,cellular cytopathic effects were monitored at 12-hour intervals using an inverted microscope,viral RNA loads in cell lysates were quantified by real-time fluorescent quantitative PCR to generate proliferation curves,and viral titers were determined by plaque assay.Results Seven types of tree shrew cells,except TRMECs,were susceptible to DENV.Prolonged infection induced pronounced cytopathic effects,including cell rounding,detachment,necrosis,and lysis,across all susceptible cells.The viral RNA loads detected in lysates of pTRECs,TBMECs,TASMCs,TAECs and THs,approached those of positive controls(≥4×107 copies/μL).Infectious progeny viruses were produced by these five cell types,with three(TAECs,3.13×105 PFU/mL;THs,2.03×105 PFU/mL;pTRECs,1.58×105 PFU/mL)exhibiting titers comparable to C6/36(3.85×10 5 PFU/mL)and earlier viral harvests.Conclusion DENV exhibits broad susceptibility to tree shrew cells of multiple tissue origins,with proliferation rates surpassing those of conventional cell lines sourced from other species.TAECs,THs,and pTRECs are particularly suitable for large-scale DENV proliferation,suggesting their potential involvement in in vivo infection.

With the prevalence of kidney disease continues to rise,it has become a serious global public health issue that significantly impacts patients'quality of life.The complex pathogenesis of kidney disea-ses presents challenges for its prevention and treatment.Research has shown that imbalances in metabolic homeostasis often affect kidney function,leading to renal damage.Peroxisome proliferator-activated re-ceptors(PPARs),as transcription factors activated by endogenous ligands,play a crucial role in regula-ting metabolic molecular networks,particularly in oxidative phosphorylation,lipid metabolism,and glu-cose metabolism.Activating PPARs can improve mitochondrial damage,promote tatty acid breakdown,and alleviate insulin resistance,thereby restoring renal metabolic function and mitigating kidney damage.Although various small-molecule drugs that activate PPARs have been developed,adverse reactions have been observed during clinical trials.Currently,there is still a lack of safe and effective treatment options for kidney diseases.A detailed analysis of the molecular mechanisms by which the PPAR family regulates renal cell energy metabolism,as well as the search for and development of new small-molecule drugs tar-geting PPARs and their regulated downstream metabolic pathways,is of significant importance for under-standing and treating kidney diseases.On the other hand,clarifying the metabolic changes during the progression of different kidney diseases and applying targeted PPAR-based drugs or strategies for their treatment is particularly important.Here we summarize how PPAR family members regulate target gene transcription and their roles in the remodeling of oxidative phosphorylation and lipid/glucose metabolism,as well as the impact of changes in PPAR expression or activity on acute and chronic kidney diseases and age-related kidney conditions.This knowledge may provide new insights and theoretical support for the prevention and treatment of kidney diseases.