Objective To investigate the distribution characteristics of pathogens causing infections within 90 days after liver transplantation and the influencing factors of infection. Methods Clinical data of 176 recipients who underwent liver transplantation at the Liver Transplant Center of Beijing Friendship Hospital Affiliated to Capital Medical University from September 2021 to August 2024 were retrospectively analyzed. Patients were divided into the infection group (n=124) and the non-infection group (n=52) based on whether they developed infection within 90 days after transplantation. The distribution characteristics of pathogens in infected patients were analyzed. Univariate and multivariate logistic regression analyses were used to explore the influencing factors of infection. Results Among the 176 liver transplant recipients, 124 cases developed 243 episodes of 518 bacterial, fungal, viral or mycoplasma infections within 90 days after transplantation, with an overall infection rate of 70.5% (124/176). The composition of pathogens was mainly Gram-negative bacteria (38.6%, 200/518), followed by Gram-positive bacteria (32.2%, 167/518) and viruses (15.4%, 80/518), and fungi accounted for 13.1% (68/518). Among Gram-negative bacteria, the main pathogen was Klebsiella pneumoniae (6.8%, 35/518), and among Gram-positive bacteria, the main pathogen was Enterococcus faecalis (8.5%, 44/518). Viruses included Epstein-Barr virus (3.7%, 19/518) and cytomegalovirus (3.7%, 19/518), and fungi were mainly Candida albicans (6.8%, 35/518). The most common infection site among the 243 episodes was pulmonary infection (42.0%, 102/243), followed by abdominal infection (22.6%, 55/243) and bloodstream infection (18.1%, 44/243). The infections mainly occurred within 2 weeks after transplantation (60.9%, 148/243). Multivariate logistic regression analysis indicated that preoperative infection within 2 weeks, a high preoperative model for end-stage liver disease (MELD) score, and preoperative sarcopenia were independent risk factors for infection within 90 days after liver transplantation (all odds ratio>1, P<0.05). After multivariate correction, the levels of CD4⁺T cells and CD8⁺T cells within 90 days after surgery were independently associated with the occurrence of infection. Low levels of CD4⁺T cells and CD8⁺T cells might be related to an increased risk of infection. Conclusions The infection rate after liver transplantation is high, and the pathogens are mainly Gram-negative bacteria. The lungs are the most common infection site. Preoperative MELD score, preoperative sarcopenia and preoperative infection within 2 weeks are independent risk factors for infection within 90 days after liver transplantation. Regular monitoring of immune indicators CD4⁺T cells and CD8⁺T cells levels after transplantation is helpful to reduce the occurrence of post-transplantation infection.

Objective To investigate the predictive value of preoperative combined detection of neutrophil-to-lymphocyte ratio (NLR) and prothrombin time-international normalized ratio to albumin ratio (PTAR) for early abdominal infection after liver transplantation. Methods Clinical data of 287 recipients who underwent liver transplantation at the Liver Transplant Center of Beijing Friendship Hospital, Affiliated to Capital Medical University, from January 2020 to April 2024 were retrospectively analyzed. The patients were divided into infection group (n=60) and non-infection group (n=227) based on whether abdominal infection occurred within 30 days after surgery. The distribution characteristics of pathogens and infection time in infected patients were analyzed. Spearman correlation analysis was used to assess the correlation between NLR, PTAR, Child-Pugh score and preoperative model for end-stage liver disease (MELD) score. Univariate and multivariate logistic regression analyses were performed to identify risk factors for abdominal infection. Receiver operating characteristic (ROC) curves were plotted for NLR, PTAR, and the combined prediction model to evaluate their predictive efficacy for abdominal infection after liver transplantation. Based on the cutoff value of the combined model, recipients were divided into low-risk and high-risk groups, and Kaplan-Meier analysis was used to compare the cumulative incidence of abdominal infection within 30 days after surgery between the two groups. Results Among the 287 recipients who underwent liver transplantation, 60 developed bacterial or fungal abdominal infections postoperatively. A total of 86 strains were isolated from infected patients, with Gram-negative bacteria accounting for 58%, Gram-positive bacteria for 36%, and fungi for 5%. Preoperative NLR and PTAR were positively correlated with Child-Pugh and MELD scores (all 1 > r > 0, P < 0.05). Logistic regression analysis showed that preoperative NLR, preoperative PTAR, postoperative ICU stay duration and postoperative biliary leakage were risk factors for abdominal infection within 30 days after surgery. The area under the curve (AUC) for NLR, PTAR, Child-Pugh score and MELD score were 0.771, 0.735, 0.650 and 0.741, respectively. The AUC for the combined NLR and PTAR prediction model was 0.824 (95% confidence interval: 0.763-0.885, P < 0.001), with a cutoff value of 0.168. Kaplan-Meier analysis showed that the cumulative incidence of abdominal infection within 30 days after surgery was lower in the low-risk group than in the high-risk group, with statistically significant difference (P < 0.001). Conclusions Preoperative NLR and PTAR are independent risk factors for abdominal infection within 30 days after liver transplantation. The combined prediction model of NLR and PTAR may effectively identify high-risk recipients for early abdominal infection after liver transplantation, providing basis for early intervention.

Objective To compare and find an optimal model for predicting the risk of DKD occurrence in patients with type 2 diabetes mellitus(T2DM).Methods A total of 2005 patients with T2DM were enrolled in this study from The Second Hospital of Shijiazhuang City during December 2017 to December 2022.All the subjects were divided into a training set(n=1403)and a validation set(n=602)according to the ratio of 3∶1 by simple random sampling.With the occurrence of DKD as the outcome variablein the training set,important feature variables were screened by LASSO regression.Six different machine learning models were established according to the feature variables,thenthe optimal model was determined by comparison,and anonlinerisk predictor for DKD occurrence was constructed in patients with T2DM.Results Taking the occurrence of DKD as the outcome variable in the training set,the results of LASSO regression analysis showed that the optimal value of the model was 10-fold cross validation lambda.1se=0.01662473,and 15 characteristic variables with nonzero coefficient were screened out to be related to the occurrence of DKD.The data included sex,age,family history of DM,DM duration,LDL-C,HbA1c,WBC,PDW,Scr,urine α1-microglobulin,urine β2-microglobulin,urine microalbumin,hypertension,hypokalemia,and DR.In the training set and validation set,the prediction performance of XGBoost model was better than that of other models(AUC=0.872,0.893,95%CI 0.853～0.891,0.865～0.921),the sensitivity was 0.779,0.863,and the specificity was 0.721,0.758,respectively.The F1 scores were 0.774 and 0.787.DCA analysis showed that the XGBoost model had a greater net benefit and threshold probability.According to the XGBoost model,the online predictor of DKD risk in T2DM patients was laid out,and two patients were selected for application,the results showed that the predictive value of the model was 0.185 in non-DKD patients,and the predictive value was 0.510 in DKD patients.Conclusions The XGBoost model is the best model for predicting the occurrence of DKD in T2DM patients,and an online predictor was successfully built.

Objective:To investigate the protective effect of catalpol on the liver of rats with acute hepatitis caused by hepatitis B virus(HBV)infection and its possible mechanism.Methods:SD rats were randomly divided into Sham group,Model group,acyclo-vir group(ACY group),low-dose catalpol group(L-CAT group),medium-dose catalpol group(M-CAT group)and high-dose catalpol group(H-CAT group).The levels of serum inflammatory cytokines were detected by ELISA.Flow cytometry was used to detect the per-centage of peripheral blood Th17 cells.Hematoxylin-eosin staining and TUNEL assay were used to detect liver tissue injury and apopto-sis.Western blot analysis was used to detect the expression of related proteins in liver tissue.Results:Compared with the Sham group,the levels of serum HBsAg,HBeAg,ALT,AST,Th17 cell ratio,IL-17 and IL-23,and the expression of TLR4 and p-p65 protein in liver tissues were significantly increased in the Model group,while the levels of serum IL-13 and IL-4 were significantly decreased in the Model group,the differences were statistically significant(P<0.05).Compared with the Model group,the levels of serum HBsAg,HBeAg,ALT,AST,Th17 cell ratio,IL-17 and IL-23,as well as the expressions of TLR4 and p-p65 protein in liver tissues of rats in the ACY,M-CAT and H-CAT groups were significantly decreased,while the levels of serum IL-13 and IL-4 were significantly in-creased,the differences were statistically significant(P<0.05).Compared with the L-CAT and M-CAT groups,the levels of serum HB-sAg,HBeAg,ALT,AST,Th17 cell ratio,IL-17 and IL-23,the expression of liver TLR4 and p-p65 protein were significantly de-creased,while the levels of serum IL-13 and IL-4 were significantly increased in the H-CAT group,the differences were statistically significant(P<0.05).Conclusion:Catalpol improves HBV infection-induced liver injury in rats by reducing Th17 cell proportion and pro-inflammatory cytokine levels,and increasing anti-inflammatory cytokine levels,possibly by inhibiting TLR4/NF-κB p65 signaling pathway activation.

Objective:To investigate the current prevalence and control status of coal-burning-borne endemic fluorosis in key areas of the disease in Zhenxiong County of Yunnan Province, thereby providing scientific basis for formulating subsequent prevention strategies and measures.Methods:From October to November 2023, a simple random sampling method was used to conduct a survey in three key townships (towns) in Zhenxiong County, Chishuiyuan Town, Yanyuan Town, and Linkou Yi and Miao Ethnic Township. Three administrative villages were selected from each township (town) as survey sites, and dental fluorosis examination on children aged 8 - 12 years who were born and lived in the local area was conducted. Thirty households were selected from each survey site, the use of household stoves and the formation of related healthy living behaviors were investigated. At the same time, a survey was conducted among primary school students and housewives to investigate their knowledge of coal-burning-borne endemic fluorosis prevention and control. The control and elimination of endemic areas were evaluated according to the "Assessment Protocol for Control and Elimination of Key Endemic Diseases (2019 Edition)".Results:A total of 1 172 children were examined, and the detection rate of dental fluorosis was 7.76% (91/1 172), with a dental fluorosis index of 0.11. A total of 295 households were investigated, and the qualified improved stoves rate and the correct use rate of qualified improved stoves were 95.59% (282/295) and 100% (282/282), respectively. The correct drying rate of edible corn and chili peppers was 79.66% (235/295). The awareness rates of coal-burning-borne endemic fluorosis prevention and control knowledge among housewives and primary school students were 46.69% (409/876) and 82.49% (440.5/534), respectively. Among the 9 villages investigated, two villages had met the criteria for eliminating endemic disease areas, two villages had met the criteria for controlling endemic disease areas, and the remaining 5 villages were uncontrolled.Conclusions:After implementing the comprehensive prevention and control measures mainly based on changing stoves, coal-burning-borne endemic fluorosis condition in Zhenxiong County has been effectively controlled, but there is still a significant gap between the elimination goals of some endemic fluorosis areas. Therefore, it is necessary to continue to strengthen prevention and control measures and promote health education.

Objective:To investigate the water improvement status and current disease situation in drinking water-borne endemic fluorosis areas of Taiyuan City, evaluate the effect of prevention and control measures, and provide a basis for optimizing control measures.Methods:Monitoring data from 2019 to 2024 for drinking water-borne endemic fluorosis in the diseased areas in Taiyuan City were collected from the Taiyuan Center for Disease Control and Prevention. A retrospective analysis was conducted on water improvement status, water fluoride content, dental fluorosis in children aged 8 - 12, skeletal fluorosis, and urinary fluoride monitoring results in all endemic villages.Results:From 2019 to 2024, all endemic villages in the six endemic counties (districts) of Taiyuan City completed water improvement. The number of water improvement projects each year was 75, 75, 72, 68, 64, and 57, respectively, with all projects operating normally. The qualified rates of water fluoride content each year were 81.33% (61/75), 100% (75/75), 98.61% (71/72), 75.00% (51/68), 87.50% (56/64), and 75.44% (43/57), respectively, with statistical significant differences ( χ2 = 36.99, P < 0.001). The detection rates of dental fluorosis each year were 18.19% (600/3 298), 14.42% (530/3 676), 11.14% (435/3 904), 11.13% (421/3 781), 11.59% (435/3 754), and 5.37% (299/5 567), respectively, with statistical significant differences ( χ2 = 386.42, P < 0.001). In 2024, 824 people were screened for skeletal fluorosis, with 250 cases showing positive symptoms and signs. Among the 250 positive cases, 210 underwent X-ray examination, detecting 170 skeletal fluorosis patients, with an X-ray positive rate of 80.95% (170/210) and a skeletal fluorosis detection rate of 20.63% (170/824). Urinary fluoride monitoring results showed that the geometric mean of urinary fluoride in villages with excessive water fluoride content was 2.95 mg/L, which was higher than the normal upper limit (1.60 mg/L). However, there was no statistically significant difference in urinary fluoride levels between skeletal fluorosis patients and non-skeletal fluorosis individuals ( Z = 0.78, P = 0.434). Conclusions:From 2019 to 2024, the drinking water-borne endemic fluorosis areas in Taiyuan City have undergone comprehensive water improvement and the water improvement projects are operating well. The qualified rate of water fluoride content has fluctuated, while the detection rate of dental fluorosis has decreased. Continuous monitoring is needed in the future to implement long-term water improvement measures and strengthen screening and treatment efforts for patients with fluorosis.

AIM:To explore the therapeutic effect of Tongfeng-Qingli mixture(TFQLM)and its mechanism in hyperuricemic(HUA)rats based on uric acid(UA)transporter and Janus kinase 2(JAK2)/signal transducer and acti-vator of transcription 3(STAT3)signaling pathway.METHODS:(1)In vivo experiment:36 male SD rats were random-ly divided into control(CON)group,model(MOD)group,benzbromarone(BEN)group,low-dose TFQLM(TFQLM-L)group,medium-dose TFQLM(TFQLM-M)group,and high-dose TFQLM(TFQLM-H)group,with 6 rats in each group.In all groups except CON group,HUA was induced in rats by giving hypoxanthine(HP)combined with potassium oxybate(OP)for 35 consecutive days.The rats in CON group were given sodium carboxymethyl cellulose solution by gavage.A fully automatic biochemistry analyzer was used to detecte serum UA,serum creatinine(SCr)and blood urea nitrogen(BUN)levels.The xanthine oxidase(XOD)and adenosine deaminase(ADA)levels in the liver were detected by ELISA kits.The histopathological changes of kidneys were observed by HE staining.Immunohistochemistry was performed to de-tect urate transporter 1(URAT1)and glucose transporter 9(GLUT9),organic anion transporter 1(OAT1)and OAT3 ex-pression in the kidney.Western blot was used to measure the protein levels of URAT1,GLUT9,OAT1,OAT3,interleu-kin-6(IL-6),tumor necrosis factor-α(TNF-α),JAK2,p-JAK2,STAT3,p-STAT3 and repressor of cytokine signaling 3(SOCS3)in the kidney.(2)In vitro experiments:HUA cellular model was established by UA stimulation in HK2 cells,and the protein levels of URAT1,GLUT9,OAT1,OAT3,IL-6,TNF-α,JAK2,p-JAK2,STAT3,p-STAT3,and SOCS3 were detected by Western blot.RESULTS:Compared with MOD group,serum UA,SCr and BUN levels of the rats in all TFQLM groups were reduced(P<0.05).The XOD and ADA levels in liver tissues were significantly reduced(P<0.05).The protein levels of URAT1,GLUT9,IL-6,TNF-α,JAK2,p-JAK2,STAT3,p-STAT3 and SOCS3 were decreased(P<0.05),and OAT1 and OAT3 protein expression was increased(P<0.05)in kidneys and HK2 cells.CONCLUSION:By establishing rat and HK2 cell HUA models,it is hypothesized that TFQLM may reduce UA levels and attenuate renal inflammation in HUA rats,and its mechanism may be related to the regulation of UA transport proteins and inhibition of the JAK2/STAT3 signaling pathway.

Objective:To evaluate the association between pre-pregnancy urolithiasis and pre-eclampsia and to further explore the mediating effect of hyperuricemia in early pregnancy on the relationship between urolithiasis and pre-eclampsia.Methods:Pregnant women attending prenatal care in early pregnancy at 7 Maternal and Child Health Hospitals in Hunan Province from August 2014 to December 2019 were recruited to construct a cohort of early pregnancy. The paper questionnaire collected demographic data on pregnant women, pre-pregnancy disease history, and living habits, etc. Besides, the early pregnancy laboratory examination and pregnancy outcome for this pregnancy were derived from the hospital's electronic medical record system. Logistic regression models were used to analyze the association between pre-pregnancy urolithiasis and pre-eclampsia, and causal mediation analysis was used to investigate the mediating role and magnitude of hyperuricemia in early pregnancy in the association pathway between pre-pregnancy urolithiasis and pre-eclampsia. Results:A total of 33 579 naturally conceived singleton pregnant women were included in the analysis, of which 3 230 cases (9.6%) had hyperuricemia in early pregnancy, and 666 cases (2.0%) had pre-eclampsia. The multivariate logistic regression analysis indicated that pre-pregnancy urolithiasis increased the risk of pre-eclampsia ( OR=2.65, 95% CI: 1.56-4.51). Mediation analysis showed that after controlling for confounders, hyperuricemia in early pregnancy could mediate the association between pre-pregnancy urolithiasis and pre-eclampsia, with a mediation effect proportion of 46% ( P<0.05). Conclusions:Pre-pregnancy urolithiasis is an independent risk factor for pre-eclampsia, and early pregnancy hyperuricemia has a certain mediating effect between urolithiasis and pre-eclampsia.

In the general population, obesity (high BMI) is often considered as an important risk factor for many diseases and premature death. However, in patients with a certain disease, the risk of death in people with obesity was lower than that in people with normal weight. This abnormal correlation has caused widespread discussion, and different explanations have been given by physiology and epidemiology. Based on causal inference theory, this study used directed acyclic graphs to introduce the collision bias (also called collision-stratification bias). Through example demonstrations, this study explored whether and why the abnormal correlation between obesity and higher survival rates in patients with hyperglycemia exists. Finally, it was concluded that this abnormal correlation among patients with a certain disease (e.g., hyperglycemia in the current analysis) was partly or even totally caused by collider bias.

Noncoding RNAs (ncRNAs) are a class of RNA molecules with little or no protein-coding potential. Emerging evidence indicates that ncRNAs are frequently dysregulated and play pivotal roles in the pathogenesis of pancreatic cancer. Their aberrant expression can arise from chromosomal abnormalities, dysregulated transcriptional control, and epigenetic modifications. ncRNAs function as protein scaffolds or molecular decoys to modulate interactions between proteins and other biomolecules, thereby regulating gene expression and contributing to pancreatic cancer progression. In this review, we summarize the mechanisms underlying ncRNA dysregulation in pancreatic cancer, emphasize the biological significance of ncRNA-protein interactions, and highlight their clinical relevance. A deeper understanding of ncRNA-protein interactions is essential to elucidate molecular mechanisms and advance translational research in pancreatic cancer.
Humans ; Pancreatic Neoplasms/metabolism* ; RNA, Untranslated/metabolism* ; Gene Expression Regulation, Neoplastic/genetics*