ObjectiveTo investigate the mechanism of action of Jiedu Huayu granules in improving liver injury in mice with acute liver failure （ALF） by observing its effect on a mouse model of ALF after prophylactic administration， and to provide a basis for clinical medication. MethodsA total of 60 specific pathogen-free male C57BL/6J mice were divided into normal group， model group， Jiedu Huayu granules group （JDHY group）， and farnesoid X receptor （FXR） agonist （GW4064） group using a random number table， with 15 mice in each group. The model of ALF was induced by a single intraperitoneal injection of D-galactosamine combined with lipopolysaccharide. The mice in the JDHY group were given prophylactic administration of 0.3 g/mL drug solution of Jiedu Huayu granules by gavage for 3 days before modeling， those in the normal group and the model group were given 0.9% NaCl solution by gavage， and those in the GW4064 group were given intraperitoneal injection of GW4064 for 3 consecutive days before modeling. The mice were sacrificed after modeling， and serum and liver tissue samples were collected. A veterinary automatic biochemical analyzer was used to measure the serum levels of total bilirubin （TBil）， total bile acids （TBA）， gamma-glutamyl transferase （GGT）， alanine aminotransferase （ALT）， and aspartate aminotransferase （AST） in mice from each group； HE staining was used to observe liver pathological changes； RT-PCR was used to measure the mRNA expression levels of FXR， fibroblast growth factor 15 （FGF15）， fibroblast growth factor receptor 4 （FGFR4）， small heterodimer partner （SHP）， and bile salt export pump （BSEP） in mice， and Western blot was used to measure the protein expression levels of FXR， FGF15， FGFR4， SHP， and BSEP. A one-way analysis of variance was used for comparison between groups， and the Dunett method was used for further comparison between two groups. ResultsCompared with the normal group， the model group had significant increases in the serum levels of TBil， ALT， AST， TBA， and GGT （all P<0.01）， and compared with the model group， the JDHY group and the GW4064 group had significant reductions in the serum levels of TBil， ALT， AST， TBA， and GGT （all P <0.01）. HE staining showed that compared with the model group， the JDHY group and the GW4064 group had milder pathological injury， a reduction in the area of hepatocyte necrosis， and alleviation of cellular swelling and edema. Compared with the normal group， the model group had significant reductions in the mRNA and protein expression levels of FXR， FGF15， FGFR4， SHP， and BSEP in liver tissue （all P <0.01）， and compared with the model group， the JDHY group and the GW4064 group had significant increases in the mRNA and protein expression levels of FXR， FGF15， FGFR4， SHP， and BSEP in liver tissue （all P <0.05）. ConclusionJiedu Huayu granules may alleviate liver injury in mice with ALF through the FXR/SHP axis.

ObjectiveTo establish an ultra-performance liquid fingerprint and multi-components determination method for Naomaili granules. To evaluate the quality of different batches by chemometrics， and the anti-neuroinflammatory effects of water extract and main components of Naomaili granules were tested in vitro. MethodsThe similarity and common peaks of 27 batches of Naomaili granules were evaluated by using Ultra performance liquid chromatography （UPLC） fingerprint detection. Ultra-performance liquid chromatography-tandem mass spectrometry （UPLC-MS/MS） technology was used to determine the content of the index components in Naomaili granules and to evaluate the quality of different batches of Naomaili granules by chemometrics. LPS-induced BV-2 cell inflammation model was used to investigate the anti-neuroinflammatory effects of the water extract and main components of Naomaili granules. ResultsThe similarity of fingerprints of 27 batches of samples was > 0.90. A total of 32 common peaks were calibrated， and 23 of them were identified and assigned. In 27 batches of Naomaili granules， the mass fractions of 14 components that were stachydrine hydrochloride， leonurine hydrochloride， calycosin-7-O-glucoside， calycosin，tanshinoneⅠ， cryptotanshinone， tanshinoneⅡ_A， ginsenoside Rb₁， notoginsenoside R₁， ginsenoside Rg₁， paeoniflorin， albiflorin， lactiflorin， and salvianolic acid B were found to be 2.902-3.498， 0.233-0.343， 0.111-0.301， 0.07-0.152， 0.136-0.228， 0.195-0.390， 0.324-0.482， 1.056-1.435， 0.271-0.397， 1.318-1.649， 3.038-4.059， 2.263-3.455， 0.152-0.232， 2.931-3.991 mg∙g^-1， respectively. Multivariate statistical analysis showed that paeoniflorin， ginsenoside Rg₁， ginsenoside Rb₁ and staphylline hydrochloride were quality difference markers to control the stability of the preparation. The results of bioactive experiment showed that the water extract of Naomaili granules and the eight main components with high content in the prescription had a dose-dependent inhibitory effect on the release of NO in the cell supernatant. Among them， salvianolic acid B and ginsenoside Rb₁ had strong anti-inflammatory activity， with IC₅₀ values of （36.11±0.15） mg∙L^-1 and （27.24±0.54） mg∙L^-1， respectively. ConclusionThe quality evaluation method of Naomaili granules established in this study was accurate and reproducible. Four quality difference markers were screened out， and eight key pharmacodynamic substances of Naomaili granules against neuroinflammation were screened out by in vitro cell experiments.

Objective: To evaluate the effect of bioactive peptides combined with probiotics on serum uric acid (SUA) in patients with hyperuricemia (HUA), so as to provide the evidence for prevention and treatment of HUA. Methods: The patients with HUA aged 18 to 65 years were selected and randomly divided into an intervention group and a control group. The patients in the intervention group received bioactive peptides combined with probiotics for 28 days at a dose of 3 g/d, while the patients in the control group received an equal dose of placebos. Demographic information, body mass index (BMI), blood pressure and blood lipid were collected through questionnaire surveys, physical examination and laboratory tests. SUA levels were detected before and after 14 days and 28 days of interventions. The differences of SUA levels between the two groups were compared using generalized estimation equation. Results: Totally 108 patients with HUA were recruited, including 54 patients in the intervention group and 53 patients in the control group (1 dropout). Before interventions, there were no statistically significant differences in gender, age, course of HUA, exercise duration, frequency of alcohol consumption, frequency of meat broth consumption, BMI, prevalence of hypertension and prevalence of dyslipidemia between the two groups (all P>0.05). After 14 days of interventions, the SUA levels of the patients in the intervention group decreased by 3.00 μmol/L, while those in the control group increased by 7.00 μmol/L. After 28 days of interventions, the SUA levels of the patients in the intervention group and the control group decreased by 26.00 μmol/L and 16.00 μmol/L, respectively. However, there was no statistically significant interaction between the intervention time and group (both P>0.05). Subgroup analysis showed that after 28 days of interventions, the decrease in SUA levels in the patients aged 55 years and older and without hypertension in the intervention group was greater than those in the control group (both P<0.05). Conclusions Bioactive peptides combined with probiotics showed no significant difference in reducing SUA levels in patients with HUA compared to the control group. The effect was more significant for patients aged 55 years and older and without hypertension.

Objective: To investigate the effect of integrin α5 on the expression of NOD-like receptor thermal protein domain associated protein 3 (NLRP3) in periodontal ligament fibroblasts (PDLFs) within an inflammatory microenvironment. Methods: This study was approved by the Ethics Committee of Laboratory animals. After rat PDLFs were treated with LPS (0.5, 5, and 50 µg/mL) for 24 h, the primary medium was discarded and replaced with serum-free culture medium. After 24 h, the supernatant was collected and mixed with DMEM medium containing 10% exosome-free serum at a volume ratio of 1:1 to obtain conditioned medium (CM). The groups were labeled as the 0.5-CM, 5-CM, and 50-CM groups. In addition, PDLFs cultured in DMEM medium containing 10% exosome-free serum were considered the 0-CM group. PDLFs were cultured with the above CM. In the inhibitor group, PDLFs were cultured in 0-CM containing different concentrations of integrin α5 inhibitor ATN-161 (0, 0.025, 0.25, 2.5, 25, and 250 μg/mL). The effect of CM and integrin α5 inhibitor ATN-161 on cell viability was assessed using the CCK-8 assay. According to the CCK-8 results, in further inhibitor intervention experiments, PDLFs were cultured in 0-CM, 5-CM (without/with 25 μg/mL ATN-161), and 0-CM containing 25 μg/mL ATN-161, which were labeled as the 0-CM, 5-CM, ATN-161+5-CM, and ATN-161 groups, respectively. The expression changes of integrin α5 and NLRP3 were detected using Western blot and qRT-PCR techniques. For in vivo experiments, 24 rats were randomly divided into four groups (n=6). The control group contained healthy rats that received no treatment. The rats in the other three groups were injected with 40 µL of 0-CM containing 25 μg/mL ATN-161 or 5-CM (without or with 25 μg/mL ATN-161) on the palatal side of the left maxillary first molar every three days; these groups were classified as the ATN-161, 5-CM, and ATN-161+5-CM groups, respectively. On the 30th day, the left maxillary tissue of rats was used for Micro-CT, HE staining, and immunohistochemical detection. Results : The CCK-8 assay showed that CM, 25 μg/mL ATN-161, and ATN-161 concentrations below 25 μg/mL had no significant effect on cell viability at 12 h and 24 h (P > 0.05). 50-CM and 25 μg/mL ATN-161 significantly inhibited cell viability at 48 h (P < 0.05). For in vitro experiments, compared to the 0-CM group, both the protein and mRNA levels of integrin α5 and NLRP3 were significantly increased in rat PDLFs in the 5-CM group (P < 0.05). Intervention with 25 μg/mL ATN-161 significantly attenuated the enhancement of 5-CM on the expression of integrin α5 and NLRP3 (P < 0.05). For in vivo experiments, compared to the control group, alveolar bone resorption and periodontal inflammatory cell infiltration were significantly increased in the 5-CM and ATN-161+5-CM groups, and the expression of integrin α5 and NLRP3 was significantly increased (P < 0.01). However, compared to the 5-CM group, the ATN-161+5-CM group had less alveolar bone resorption and fewer periodontal inflammatory cells. Further, the expression of integrin α5 and NLRP3 was significantly reduced (P < 0.01). Conclusion In vitro and in vivo experiments showed that integrin α5 mediated NLRP3 expression in PDLFs under an inflammatory microenvironment. ATN-161 inhibited the expression of integrin α5, thus significantly downregulating the expression of NLRP3, which plays a role in inhibiting inflammation.

With the continuous development of society, a large number of new chemicals are continuously emerging, which presents a challenge to current risk assessment and safety management of chemicals. Traditional toxicology research methods have certain limitations in quickly, efficiently, and accurately assessing the toxicity of many chemicals, and cannot meet the actual needs. In response to this challenge, computational toxicology that use mathematical and computer models to achieve the prediction of chemical toxicity has emerged. In the meantime, as researchers increasingly pay attention to understanding the interaction mechanisms between exogenous chemical substances and the body from the system level, and multiomics technologies develop rapidly such as genomics, transcriptomics, proteomics, and metabolomics, huge amounts of data have been generated, providing rich information resources for studying the interactions between chemical substances and biological molecules. System toxicology and network toxicology have also developed accordingly. Of these, network toxicology can integrate these multiomics data to construct biomolecular networks, and then quickly predict the key toxicological targets and pathways of chemicals at the molecular level. This paper outlined the concept and development of network toxicology, summarized the main methods and supporting tools of network toxicology research, expounded the application status of network toxicology in studying potential toxicity of exogenous chemicals such as agricultural chemicals, environmental pollutants, industrial chemicals, and foodborne chemicals, and analyzed the development prospects and limitations of network toxicology research. This paper aimed to provide a reference for the application of network toxicology in other fields.

Objective:To investigate the synergistic activity and mechanism of vinegar baked radix bupleurum polysaccharides(VBCP)in combination with oxaliplatin(OXA),and to provide new ideas for the clinical treatment of primary hepatocellular carci-noma.Methods:MTT assay was used to detect the cytotoxic effect of VBCP 3-4 and VBCP 3-3 in combination with OXA on Huh7 cells;ICP-MS was used to measure the uptake rate of OXA by Huh7 cells and evaluate the in vitro synergistic pathway of VBCP 3-4 in combination with OXA;Western blotting was used to measure the expression levels of related transporter proteins in Huh7 cells and explore the synergistic mechanism of VBCP 3-4 in combination and MRP1 in Huh7 cells,and the protein expression level of multidrug resistance-associated protein(MRP)2 was upregulated to 18.11%and 25.00%,respectively(P=0.008,P=0.001),while that of MRP1 was upregulated to 28.51%(P>0.05)and 39.70%(P=0.015),respectively.After the combination of VBCP 3-4 and OXA,the protein expression of MRP2,MRP1,and breast cancer resis-tance protein(BCRP)was inhibited;MRP2 was reduced by 47.38%in the high-dose combination group(P=0.000)and 15.18%in the low-dose combination group(P=0.049);MRP1 was reduced by 64.96%in the high-dose combination group(P=0.000)and 34.63%in the low-dose combination group(P=0.000);BCRP was reduced by 29.00%(P=0.020)in the high-dose combination group.Acting on Huh7 cells alone,VBCP 3-4 significantly reduced the protein expression levels of MRP2,MRP1,and BCRP,and in the high-dose VBCP 3-4 group,MRP2 and MRP1 were reduced by 24.91%and 20.79%,respectively(P=0.004,P=0.005).VBCP 3-4 downregu-lated the protein expression level of BCRP by 15.02%in the high-dose group(P=0.003)and 13.92%in the middle-dose group(P=0.030).Conclusion:VBCP 3-4 exerts a synergistic effect by inhibiting the expression of the efflux transporter proteins MRP1,MRP2,and BCRP,promoting the intake of OXA by Huh7 cells,and increasing the intracellular effective concentration.

Objective: To explore the effect of different obesity indicators in predicting cardiovascular and cerebrovascular diseases (CVD) risk among patients with type 2 diabetes mellitus (T2DM), so as to provide the evidence for the early identification of CVD risk among T2DM patients. Methods: The patients with T2DM under community management in Qingpu District, Shanghai Municipality were selected as the study subjects in January 2025. Basic information such as gender, age, and blood glucose control status were collected through the Shanghai Chronic Disease Information Management System, while history of CVD were obtained from residents' electronic health records and the Shanghai Disease Control Information Platform. Obesity was assessed using body mass index (BMI), waist circumference (WC), BMI combined with WC, waist-to-height ratio (WHtR), and triglyceride (TG) combined with WC indicators. The association between obesity and CVD was analyzed using multivariable logistic regression models. The predictive effect of each obesity indicators for CVD was evaluated using the area under the receiver operating characteristic curve (AUC). Results: A total of 4 367 patients with T2DM were included, including 2 121 males (48.57%) and 2 246 females (51.43%). The average age was (68.71±8.05) years. The prevalence of CVD was 44.49%. Multivariable logistic regression analysis showed that after adjusting for age, education level, history of hypertension, duration of T2DM, use of glucose-lowering medications, renal function, and blood glucose control status, obese T2DM patients had a 389.4% increased risk of CVD compared to those with normal BMI; centrally obese T2DM patients had a 100.4% increased risk compared to those with normal WC; T2DM patients with isolated general obesity and compound obesity had 161.0% and 241.1% increased risks of CVD, respectively, compared to those with normal BMI and WC; centrally obese T2DM patients had a 100.4% increased risk compared to those with normal WHtR; T2DM patients with normal TG-high WC and high TG-high WC phenotypes had 83.1% and 68.8% increased risks of CVD, respectively, compared to those with normal TG and normal WC (all P<0.05). BMI had the highest AUC, at 0.714, with sensitivity and specificity of 0.675 and 0.642, respectively. This was followed by BMI combined with WC, which had an AUC of 0.707, with sensitivity and specificity of 0.635 and 0.679, respectively. Conclusions Obesity defined by BMI, WC, BMI combined with WC, WHtR, and TG combined with WC increases the risk of CVD among patients with T2DM. BMI and BMI combined with WC have better predictive effect in predicting CVD risk among patients with T2DM, and can be used as the primary obesity indicators for CVD risk screening.

Purpose: The aim of this study was to investigate the feasibility of an intelligent handheld ultrasound (US) device for assisting non-expert general practitioners (GPs) in detecting carotid plaques (CPs) in community populations. Methods: This prospective parallel controlled trial recruited 111 consecutive community residents. All of them underwent examinations by non-expert GPs and specialist doctors using handheld US devices (setting A, setting B, and setting C). The results of setting C with specialist doctors were considered the gold standard. Carotid intima-media thickness (CIMT) and the features of CPs were measured and recorded. The diagnostic performance of GPs in distinguishing CPs was evaluated using a receiver operating characteristic curve. Inter-observer agreement was compared using the intragroup correlation coefficient (ICC). Questionnaires were completed to evaluate clinical benefits. Results: Among the 111 community residents, 80, 96, and 112 CPs were detected in settings A, B, and C, respectively. Setting B exhibited better diagnostic performance than setting A for detecting CPs (area under the curve, 0.856 vs. 0.749; P<0.01). Setting B had better consistency with setting C than setting A in CIMT measurement and the assessment of CPs (ICC, 0.731 to 0.923). Moreover, measurements in setting B required less time than the other two settings (44.59 seconds vs. 108.87 seconds vs. 126.13 seconds, both P<0.01). Conclusion Using an intelligent handheld US device, GPs can perform CP screening and achieve a diagnostic capability comparable to that of specialist doctors.

BACKGROUND: Our understanding of the correlation between postdischarge cancer and mortality in patients with coronary artery disease (CAD) remains incomplete. The aim of this study was to investigate the relationships between postdischarge cancers and all-cause mortality and cardiovascular mortality in CAD patients. METHODS: In this retrospective cohort study, 25% of CAD patients without prior cancer history who underwent coronary artery angiography between January 1, 2011 and December 31, 2015, were randomly enrolled using SPSS 26.0. Patients were monitored for the incidence of postdischarge cancer, which was defined as cancer diagnosed after the index hospitalization, survival status and cause of death. Cox regression analysis was used to explore the association between postdischarge cancer and all-cause mortality and cardiovascular mortality in CAD patients. RESULTS: A total of 4085 patients were included in the final analysis. During a median follow-up period of 8 years, 174 patients (4.3%) developed postdischarge cancer, and 343 patients (8.4%) died. A total of 173 patients died from cardiovascular diseases. Postdischarge cancer was associated with increased all-cause mortality risk (HR = 2.653, 95% CI: 1.727-4.076, P < 0.001) and cardiovascular mortality risk (HR = 2.756, 95% CI: 1.470-5.167, P = 0.002). Postdischarge lung cancer (HR = 5.497, 95% CI: 2.922-10.343, P < 0.001) and gastrointestinal cancer (HR = 1.984, 95% CI: 1.049-3.750, P = 0.035) were associated with all-cause mortality in CAD patients. Postdischarge lung cancer was significantly associated with cardiovascular death in CAD patients (HR = 4.979, 95% CI: 2.114-11.728, P < 0.001), and cardiovascular death was not significantly correlated with gastrointestinal cancer or other types of cancer. CONCLUSIONS Postdischarge cancer was associated with all-cause mortality and cardiovascular mortality in CAD patients. Compared with other cancers, postdischarge lung cancer had a more significant effect on all-cause mortality and cardiovascular mortality in CAD patients.