Objective : To investigate the protective effect of dimethyl fumarate(DMF) on maternal intrahepatic cholestasis(ICP) during pregnancy induced by di(2-ethylhexyl) phthalate(DEHP) exposure and its mechanism. Methods : Thirty-two 8-week-old female institute of cancer research(ICR) mice were randomly divided into 4 groups: Ctrl group, DEHP group, DMF group and DEHP+DMF group. DEHP and DEHP+DMF groups were treated with DEHP(200 mg/kg) by gavage every morning at 9:00 a.m. DMF and DEHP+DMF groups were treated with DMF(150 mg/kg) from day 13 to day 16 of gestation by gavage. After completion of gavage on day 16 of pregnancy, maternal blood, maternal liver, placenta, and amniotic fluid were collected from pregnant mice after a six-hour abrosia. The body weight of the mother rats and the body weight of the fetus rats were sorted and analyzed; the levels of total bile acid(TBA), alkaline phosphatase(ALP), aspartate aminotransferase/alanine aminotransferase(AST/ALT) in serum and TBA in liver, amniotic fluid and placenta were detected by biochemical analyzer; HE staining was used to observe the pathological changes of liver tissue; Quantitative reverse transcription PCR(RT-qPCR) was used to detect the expression levels of tumor necrosis factor-α(TNF-α), interleukin(IL)-6, IL-1, IL-18 and NOD-like receptor thermal protein domain associated protein 3(NLRP3) in the liver; Western blot was used to detect the expression of the nuclear factor KappaB(NF-κB) and NLRP3. Results : Compared with the control group, the body weight of the DEHP-treated dams and pups decreased(P<0.05); the levels of TBA, ALP, AST/ALT in the serum of dams and the levels of TBA in the liver, amniotic fluid, and placenta of dams increased(P<0.05); the histopathological results showed that liver tissue was damaged, bile ducts were deformed, and there was inflammatory cell infiltration around them; the levels of inflammation-related factors TNF-α, IL-6, IL-1, IL-18 and NLRP3 transcription in maternal liver increased(P<0.05); the expression of NF-κB and NLRP3 protein in maternal liver significantly increased( P<0. 05). Compared with the DEHP group,the body weight of both dams and fetuses significantly increased in DEHP + DMF group( P<0. 05); the levels of TBA,ALP,AST/ALT in the serum of dams and amniotic fluid of fetuses decreased( P<0. 05); the degree of liver lesions was improved; the transcription levels of inflammation-related factors TNF-α,IL-6,IL-1,IL-18 and NLRP3 in maternal liver decreased( P<0. 05); the expression of NF-κB and NLRP3 protein in maternal liver significantly decreased( P<0. 05). Conclusion DMF can effectively protect the DEHP exposure to lead to female ICP,and its mechanism may be through inhibiting the NF-κB/NLRP3 pathway and reducing liver inflammation.

OBJECTIVE: To construct machine learning prediction model for sepsis-associated encephalopathy (SAE), and analyze the application value of the model on early identification of SAE risk in elderly septic patients. METHODS: Patients aged over 60 years with a primary diagnosis of sepsis admitted to intensive care unit (ICU) from 2008 to 2023 were selected from Medical Information Mart for Intensive Care-IV 2.2 (MIMIC-IV 2.2). Demographic variables, disease severity scores, comorbidities, interventions, laboratory indicators, and hospitalization details were collected. Key factors associated with SAE were identified using univariate Logistic regression analysis. The data were randomly divided into training and validation sets in a 7 : 3 ratio. Multivariable Logistic regression analysis was conducted in the training set and visualized using a nomogram model for prediction of SAE. The discrimination of the model was evaluated in the validation set using the receiver operator characteristic curve (ROC curve), and its calibration was assessed using calibration curve. Furthermore, multiple machine learning algorithms, including multi-layer perceptron (MLP), support vector machine (SVM), naive bayes (NB), gradient boosting machine (GBM), random forest (RF), and extreme gradient boosting (XGB), were constructed in the training set. Their predictive performance was subsequently evaluated on the validation set. Taking the XGB model as an example, the interpretability of the model through the SHapley Additive exPlanations (SHAP) algorithm was enhanced to identify the key predictive factors and their contributions. RESULTS: A total of 2 204 septic patients were finally enrolled, of whom 840 developed SAE (38.1%). A total of 21 variables associated with SAE were screened through univariate Logistic regression analysis. Multivariable Logistic regression analysis showed that endotracheal intubation [odds ratio (OR) = 0.40, 95% confidence interval (95%CI) was 0.19-0.88, P < 0.001], oxygen therapy (OR = 0.76, 95%CI was 0.53-0.95, P = 0.023), tracheotomy (OR = 0.20, 95%CI was 0.07-0.53, P < 0.001), continuous renal replacement therapy (CRRT; OR = 0.32, 95%CI was 0.15-0.70, P < 0.001), cerebrovascular disease (OR = 0.31, 95%CI was 0.16-0.60, P < 0.001), rheumatic disease (OR = 0.44, 95%CI was 0.19-0.99, P < 0.001), male (OR = 0.68, 95%CI was 0.54-0.86, P = 0.001), and maximum anion gap (AG; OR = 0.95, 95%CI was 0.93-0.97, P < 0.001) were associated with an decreased probability of SAE, and age (OR = 1.05, 95%CI was 1.03-1.06, P < 0.001), acute physiology score III (APSIII; OR = 1.02, 95%CI was 1.01-1.02, P < 0.001), Oxford acute severity of illness score (OASIS; OR = 1.04, 95%CI was 1.03-1.06, P < 0.001), and length of hospital stay (OR = 1.01, 95%CI was 1.01-1.02, P < 0.001) were associated with an increased probability of SAE. A nomogram model was constructed based on these variables. In the validation set, ROC curve analysis showed that the model achieved an area under the ROC curve (AUC) of 0.723, and the calibration curve showed good consistency between the predicted probability of the model and the observed probability. Among the machine learning algorithms, including MLP, SVM, NB, GBM, RF, and XGB, the SVM model and RF model demonstrated relatively good predictive performance, with AUC of 0.748 and 0.739, respectively, and the sensitivity was both exceeding 85%. The predictive performance of the XGB model was explained through SHAP analysis, and the results indicated that APSIII score (SHAP value was 0.871), age (SHAP value was 0.521), and OASIS score (SHAP value was 0.443) were important factors affecting the predictive performance of the model. CONCLUSIONS The machine learning-based SAE prediction model exhibits good predictive capability and holds significant application value for the early identification of SAE risk in elderly septic patients.
Humans ; Machine Learning ; Aged ; Sepsis-Associated Encephalopathy ; Sepsis/complications* ; Intensive Care Units ; Logistic Models ; Middle Aged ; Male ; ROC Curve ; Female ; Bayes Theorem ; Nomograms ; Support Vector Machine ; Algorithms

Ischemic stroke (IS) is a prevalent neurological disorder often resulting in significant disability or mortality. Resveratrol, extracted from Polygonum cuspidatum Sieb. et Zucc. (commonly known as Japanese knotweed), has been recognized for its potent neuroprotective properties. However, the neuroprotective efficacy of its derivative, (E)-4-(3,5-dimethoxystyryl) quinoline (RV02), against ischemic stroke remains inadequately explored. This study aimed to evaluate the protective effects of RV02 on neuronal ischemia-reperfusion injury both in vitro and in vivo. The research utilized an animal model of middle cerebral artery occlusion/reperfusion and SH-SY5Y cells subjected to oxygen-glucose deprivation and reperfusion to simulate ischemic conditions. The findings demonstrate that RV02 attenuates neuronal mitochondrial damage and scavenges reactive oxygen species (ROS) through mitophagy activation. Furthermore, Parkin knockdown was found to abolish RV02's ability to activate mitophagy and neuroprotection in vitro. These results suggest that RV02 shows promise as a neuroprotective agent, with the activation of Parkin-mediated mitophagy potentially serving as the primary mechanism underlying its neuroprotective effects.
Animals ; Ubiquitin-Protein Ligases/genetics* ; Mitophagy/drug effects* ; Resveratrol/analogs & derivatives* ; Neuroprotective Agents/pharmacology* ; Humans ; Neurons/metabolism* ; Reactive Oxygen Species/metabolism* ; Ischemic Stroke/genetics* ; Male ; Quinolines/pharmacology* ; Mice ; Fallopia japonica/chemistry* ; Mitochondria/metabolism* ; Reperfusion Injury/metabolism* ; Rats ; Mice, Inbred C57BL ; Disease Models, Animal

OBJECTIVE: This study aimed to investigate the prevalence of HIV pretreatment drug resistance (PDR) and the transmission clusters associated with PDR-related mutations in newly diagnosed, treatment-naive patients between 2020 and 2023 in Dehong prefecture, Yunnan province, China. METHODS: Demographic information and plasma samples were collected from study participants. PDR was assessed using the Stanford HIV Drug Resistance Database. The Tamura-Nei 93 model within HIV-TRACE was employed to compute pairwise matches with a genetic distance of 0.015 substitutions per site. RESULTS: Among 948 treatment-naive individuals with eligible sequences, 36 HIV subtypes were identified, with unique recombinant forms (URFs) being the most prevalent (18.8%, 178/948). The overall prevalence of PDR was 12.4% (118/948), and resistance to non-nucleotide reverse transcriptase inhibitors (NNRTIs), nucleotide reverse transcriptase inhibitors (NRTIs), and protease inhibitors (PIs) was 10.7%, 1.3%, and 1.6%, respectively. A total of 91 clusters were identified, among which eight showed evidence of PDR strain transmission. The largest PDR-associated cluster consisted of six CRF01_AE drug-resistant strains carrying K103N and V179T mutations; five of these individuals had initial CD4+ cell counts < 200 cells/μL. CONCLUSION The distribution of HIV subtypes in Dehong is diverse and complex. PDR was moderately prevalent (12.4%) between 2020 and 2023. Evidence of transmission of CRF01_AE strains carrying K103N and V179T mutations was found. Routine surveillance of PDR and the strengthening of control measures are essential to limit the spread of drug-resistance HIV strains.
Humans ; HIV Infections/virology* ; China/epidemiology* ; Drug Resistance, Viral ; Male ; Adult ; Female ; Middle Aged ; HIV-1/genetics* ; Anti-HIV Agents/therapeutic use* ; Myanmar/epidemiology* ; Young Adult ; Prevalence ; Adolescent ; Mutation

OBJECTIVE: Poxviruses are zoonotic pathogens that infect humans, mammals, vertebrates, and arthropods. However, the specific role of ticks in transmission and evolution of these viruses remains unclear. METHODS: Transcriptomic and metatranscriptomic raw data from 329 sampling pools of seven tick species across five continents were mined to assess the diversity and abundance of poxviruses. Chordopoxviral sequences were assembled and subjected to phylogenetic analysis to trace the origins of the unblasted fragments within these sequences. RESULTS: Fifty-eight poxvirus species, representing two subfamilies and 20 genera, were identified, with 212 poxviral sequences assembled. A substantial proportion of AT-rich fragments were detected in the assembled poxviral genomes. These genomic sequences contained fragments originating from rodents, archaea, and arthropods. CONCLUSION Our findings indicate that ticks play a significant role in the transmission and evolution of poxviruses. These viruses demonstrate the capacity to modulate virulence and adaptability through horizontal gene transfer, gene recombination, and gene mutations, thereby promoting co-existence and co-evolution with their hosts. This study advances understanding of the ecological dynamics of poxvirus transmission and evolution and highlights the potential role of ticks as vectors and vessels in these processes.
Animals ; Poxviridae/physiology* ; Ticks/virology* ; Phylogeny ; Transcriptome ; Evolution, Molecular ; Poxviridae Infections/virology* ; Genome, Viral

Objective : To establish a method for measuring major organic acids in the tricarboxylic acid cycle using a high-performance liquid chromatography-tandem mass spectrometry(HPLC-MS/MS) system, and to investigate the changes in six tricarboxylic acid cycle organic acids(fumaric acid, malic acid, succinic acid, α-ketoglutaric acid, cis-aconitic acid, and citric acid) in the serum, liver, and placenta of mice exposed to di(2-ethylhexyl) phthalate(DEHP) during pregnancy. Methods : The serum, liver and placental samples from pregnant mice were processed and eluted through a Waters ACQUITY UPLC BEH Amide Column(130 Å, 1.7 μm, 2.1 mm × 150 mm) using a gradient elution program. Mobile phase A comprised an aqueous solution of 10 mmol/L ammonium acetate and 5 μmol/L methanephosphonic acid, while mobile phase B consisted of a 90% acetonitrile aqueous solution containing 10 mmol/L ammonium acetate and 5 μmol/L methanephosphonic acid, with a flow rate maintained at 0.35 ml/min. The mass spectrometry detection system utilized an electrospray ionization technique with negative ion mode for multiple reaction monitoring. Results : The correlation coefficients of the standard curves for the six tricarboxylic acid cycle organic acid metabolites were all above 0.996 within the quantitative range. The method's accuracy ranged from 97.14% to 108.26%, with inter-day and intra-day precision relative standard deviation between 1.35% and 6.73%. The matrix effect was between 93.29% and 107.47%, and the extraction recovery rate ranged from 94.82% to 112.57%. Analysis of six tricarboxylic acid cycle organic acids in the liver, serum, and placenta of DEHP-exposed mice during pregnancy showed significant reductions in fumaric acid, malic acid, α-ketoglutaric acid, cis-aconitic acid, and citric acid compared to the control group(P<0.05). Conclusion The HPLC-MS/MS method established in this study for detecting six tricarboxylic acid cycle organic acids in the serum, liver, and placenta of DEHP-exposed pregnant mice is stable, highly sensitive and selective. Prenatal DEHP exposure induced alterations in the levels of tricarboxylic acid(TCA) cycle organic acid metabolites in the liver, serum, and placenta of mice, suggesting that DEHP exposure during pregnancy may interfere with mitochondrial TCA cycle processes. These findings indicate potential value in the diagnosis and treatment of diseases associated with prenatal DEHP exposure.

BACKGROUND:How to improve the expansion of cells,reduce cell loss,increase homing rate and reduce apoptosis is the main problem in the preclinical research of human umbilical cord mesenchymal stem cells.Ginsenoside Rg1 can promote the proliferation and differentiation of mesenchymal stem cells in different microenvironments in vitro or in vivo,which may be a candidate drug to improve the efficiency of human umbilical cord mesenchymal stem cell transplantation.OBJECTIVE:To investigate the effect of human umbilical cord mesenchymal stem cells co-culture combined with ginsenoside Rg1 on pentobarbital sodium induced heart failure cell model.METHODS:H9C2 cells were divided into five groups:Control group,pentobarbital sodium group,human umbilical cord mesenchymal stem cell group,ginsenoside Rg1 group,and human umbilical cord mesenchymal stem cell+ginsenoside Rg1 group.H9C2 cells in the control group were cultured in normal DMEM for 24 hours.H9C2 cells in the other groups were cultured in DMEM containing 0.8％pentobarbital sodium for 7 minutes to establish a heart failure cell model.After modeling,above models were treated with human umbilical cord mesenchymal stem cells,ginsenoside Rg1,or their combination.CCK-8 assay and EdU staining were used to detect cell proliferation.TUNEL assay was used to detect cell apoptosis.Na+-K+-ATPase and Ca2+-Mg2+-ATPase activities were detected according to kit instructions.The mRNA levels of tumor necrosis factor α,interleukin 1β,and interleukin 6 in the supernatant were determined by ELISA.The mRNA levels of tumor necrosis factor α,interleukin 1β,interleukin 6,Bax,and Bcl2 in the cells were determined by RT-qPCR.The protein levels of Bax,Bcl2,Toll-like receptor 4,p65,and p-p65 were determined by western blot assay.RESULTS AND CONCLUSION:(1)Compared with the pentobarbital sodium group,H9C2 cell viability and EdU positive rate were increased;TUNEL positive rate and Bax mRNA and protein expression were decreased,and Bcl-2 mRNA and protein expression were increased;Na+-K+-ATPase activity decreased;Ca2+-Mg2+-ATPase activity increased;tumor necrosis factor α,interleukin-1β,and interleukin-6 levels decreased in H9C2 cell supernatant,and tumor necrosis factor α,interleukin-1β,and interleukin-6 mRNA expression decreased in H9C2 cells;the expression of toll-like receptor 4 and P-P65 protein decreased with significant difference in human umbilical cord mesenchymal stem cell group,ginsenoside Rg1 group and human umbilical cord mesenchymal stem cell+ginsenoside Rg1 group(P＜0.05).(2)Compared with human umbilical cord mesenchymal stem cell group and ginsenoside Rg1 group,the above indexes in human umbilical cord mesenchymal stem cells+ginsenoside Rg1 group were further improved(P＜0.05).The results showed that human umbilical cord mesenchymal stem cells combined with ginsenoside Rg1 promoted the viability of heart failure cells induced by pentobarbital sodium and inhibited inflammation mediated by the Toll-like receptor 4/nuclear factor κB pathway.

Aim To investigate the interventional effects of polysaccharides from Dicliptera chinensis(L.)Juss.(DCP)on acute liver failure(ALF)in-duced by lipopolysaccharide(LPS)combined with D-galactosamine(D-GalN)in mice,and on LPS-induced inflammatory responses in RAW264.7 cells,based on the TLR-4/MyD88/NF-κB signaling pathway.Meth-ods Mice were randomly divided into the control,model,silymarin,DCP low,medium,and high dose groups,and toxicity test groups.After 10 consecutive days of treatment,ALF models were established by in-jecting mice with LPS+D-GalN.Additionally,an in-flammatory response model was established by stimula-ting RAW264.7 cells with LPS.Results Biochemical assays showed that compared with the model group,the medium-and high-dose DCP groups exhibited de-creased serum ALT,AST,ALP,TBIL,and γ-GT activi-ties(P＜0.05),reduced levels of ROS,MPO and MDA in liver(P＜0.05),increased activities of SOD,GSH-Px,CAT,and elevated T-AOC levels(P＜0.05).ELISA revealed lower levels of ICAM-1,VCAM-1,IL-6,IL-1β,and TNF-α in liver(P＜0.05).HE staining indicated reduced inflammatory cell infiltration and improved hepatocyte necrosis in liv-er after DCP administration.The use of DCP alone showed no significant organ toxicity.qRT-PCR and Western blot results indicated that DCP inhibited the expression of key factors in TLR-4/MyD88/NF-κB sig-naling pathway(P＜0.05).Cell validation experi-ments also confirmed that this pathway was inhibited by DCP.Conclusion DCP alleviates ALF primarily by inhibiting oxidative stress and blocking the activation of the TLR-4/MyD88/NF-κB signaling pathway.

Objective:To investigate the trends in insulin resistance, as represented by the triglyceride-glucose index (TyG index), among Chinese adult residents from 2010 to 2018 and to explore influencing factors.Methods:China Chronic Disease and Risk Factor Surveillance was conducted in 2010, 2013, and 2018, using a multi-stage stratified cluster random sampling method across all 31 provinces (autonomous regions and municipalities) in China. This study sampled 98 712 adults in 2010, 176 534 adults in 2013, and 184 876 adults in 2018, all aged ≥18 years, totaling 406 933 participants. Individuals with a TyG index > P75 were classified as having insulin resistance. The mean TyG index and the prevalence of insulin resistance were calculated for different years, sexes, age groups, provinces (autonomous regions and municipalities), and subgroups for 2018. Linear and logistic regression models were used to test trends in means and rates over time, and multivariate logistic regression models were conducted to analyze potential factors associated with insulin resistance. All analyses were adjusted for complex sampling weights based on the study design. Results:From 2010 to 2018, the mean TyG index among Chinese adults increased from 8.44±0.63 to 8.70±0.64, with significant upward trends observed across different age groups, sexes, and urban-rural residencies (all P<0.001). The mean TyG index was higher among males, urban residents, and those aged 45-59. There were significant differences in the mean TyG indices and prevalence of insulin resistance across provinces (autonomous regions and municipalities) (all P<0.05). Higher insulin resistance prevalence was independently associated with being male, aged ≥45 years, living in urban areas, excessive alcohol consumption, and insufficient physical activity (all P<0.05). Conclusions:From 2010 to 2018, the level of insulin resistance, as indicated by the TyG index, showed an increasing trend among Chinese adults. Males, individuals aged ≥45 years, urban residents, and individuals with unhealthy lifestyles such as excessive alcohol consumption or insufficient physical activity should be the focus of efforts to prevent and control metabolic diseases related to insulin resistance.

Objective:To evaluate the clinical efficacy of methylation sensitive-high resolution melting curve (MS-HRM) detection of IFN-induced protein 44-like (IFI44L) gene methylation in the diagnosis of systemic lupus erythematosus (SLE), as well as the relationship between IFI44L gene markers and the early onset of SLE.Methods:From February 2020 to September 2022, the MS-HRM was used to detect the methylation level of the IFI44L gene in peripheral blood mononuclear cells of 602 SLE patients and 524 other autoimmune disease patients (excluding SLE) from Beijing Peking Union Medical College Hospital, Guangdong Provincial People′s Hospital, and Shenzhen People′s Hospital, totaling 1 126 patients. Compared with the 2012 SLICC criteria, the suspected cases were followed up for 6 months until the onset and clinical diagnosis of SLE were confirmed. The measurement data of normal distribution were expressed as mean±SD, and the consistency analysis was performed using the Kappa consistency test. The clinical diagnostic efficacy indicators were calculated using the receiver operating characteristic (ROC) curve. Results:RR (95% CI) of early suspected cases was 17.06 (9.43, 30.82). The results of IFI44L gene methylation level were in good agreement with the 2012 SLICC criteria, and the sensitivity, specificity and total coincidence rate were 90.53%, 92.56% and 91.47%, respectively. The Kappa value (95% CI) was 0.829(0.796, 0.862) ( P<0.001). The diagnostic efficiency of IFI44L gene methylation level ( Kappa value 0.817) was superior to anti-nuclear antibody, anti-SM antibody and anti-dsDNA antibody ( Kappa value 0.418, 0.216 and 0.440, respectively). The Kappa values (95% CI) of methylation between MS-HRM and pyrosequencing was 0.861(0.806, 0.916), P<0.001. Conclusion:The hypomethylation of IFI44L gene methylation level detected by MS-HRM is closely related to the occurrence and development of SLE, and its diagnostic performance is better than that of three autoantibodies in SLE diagnosis, which can be used for the early diagnosis of SLE.