The aryl hydrocarbon receptor (AhR) plays a crucial role in regulating many physiological processes. Activating the AhR-CYP1A1 axis has emerged as a novel therapeutic strategy against various inflammatory diseases. Here, a practical in situ cell-based fluorometric assay was constructed to screen AhR-CYP1A1 axis modulators, via functional sensing of CYP1A1 activities in live cells. Firstly, a cell-permeable, isoform-specific enzyme-activable fluorogenic substrate for CYP1A1 was rationally constructed for in-situ visualizing the dynamic changes of CYP1A1 function in living systems, which was subsequently used for discovering the efficacious modulators of the AhR-CYP1A1 axis. Following screening of a compound library, LAC-7 was identified as an efficacious activator of the AhR-CYP1A1 axis, which dose-dependently up-regulated the expression levels of both CYP1A1 and AhR in multiple cell lines. LAC-7 also suppressed macrophage M1 polarization and reduced the levels of inflammatory factors in LPS-induced bone marrow-derived macrophages. Animal tests showed that LAC-7 could significantly mitigate DSS-induced ulcerative colitis and LPS-induced acute lung injury in mice, and markedly reduced the levels of multiple inflammatory factors. Collectively, an optimized fluorometric cell-based assay was devised for in situ functional imaging of CYP1A1 activities in living systems, which strongly facilitated the discovery of efficacious modulators of the AhR-CYP1A1 axis as novel anti-inflammatory agents.

A method was developed for determination of dilauryl thiodipropionate(DLTDP)in fried foods by coupling solid-phase extraction(SPE)pretreatment with reverse-phase liquid chromatography-tandem mass spectrometry(RPLC-MS/MS)detection.Samples were extracted with n-hexane as the solvent,purified using a neutral alumina SPE cartridge,and finally analyzed by RPLC-MS/MS.Quantitative analysis was performed using matrix-matched calibration curves combined with an external standard method under optimal experimental conditions.The results showed that DLTDP exhibited good linearity in the range of 2.0-50.0 μg/L,with a correlation coefficient(R2)≥0.999.The limit of detection(LOD)and the limit of quantification(LOQ)of the method were 0.15 mg/kg and 0.5 mg/kg,respectively.The mean recoveries at three fortification levels(0.5,1.0,and 200 mg/kg)in different samples ranged from 84.8%to 96.8%,with the relative standard deviations(RSDs)all less than 8.0%.The developed method was highly sensitive,accurate and reliable,and easy to operate,making it well suited for the routine quantitative analysis of DLTDP in fried foods.

Enzymatic cascade catalysis has emerged as an effective means to enhance the sensitivity of biosensors due to its remarkable amplification effect on electrochemical signals.However,the most used natural enzymes have high specificity and high catalytic activity,but are susceptible to environmental factors,easy denaturation and inactivation,and high cost,which limit their practical applications.Additionally,the majority of nanozymes with excellent catalytic activity cannot be directly used as redox probes.The redox signal can only be required under high potentials in strong acid/alkali solutions,or functionalized with electroactive substances.To tackle this problem,herein,AuNPs(glucose oxidase-like activity)and Mn,Zr dual-doped CeO2 nanozymes(Mn,Zr-CeO2,peroxidase-like activity)were used as model enzymes to construct a high-performance nanozymes cascade catalytic system.Owing to high Ce4+/Ce3+ratio and a considerable number of oxygen vacancies,Mn,Zr-CeO2 nanozymes exhibited excellent peroxidase-like activity and could generate amplified electrochemical signals in neutral medium at low potentials.Furthermore,the porous structure of Mn,Zr-CeO2 nanozymes could accelerate the mass transfer of intermediate H2O2,thereby enhancing the efficiency of enzymatic cascade catalysis.As a result,a label-free electrochemical biosensor was constructed for sensitive detection of the cancer marker miRNA-21 at physiological pH,with a detection limit as low as 32.5 fmol/L.This strategy offered a novel approach for the development of a new generation of high-performance nanozymes cascade platforms,which could be widely applied in the fields such as biotechnology,bioanalysis,and disease diagnosis.

Objective: To explore the relationship between lifestyle and myopia and construct Nomogram model to predict myopia risk among primary school students in Tianjin, so as to provide a scientific basis for precision myopia prevention and control. Methods: From April to July of 2022, a census method was used to conduct vision testing and lifestyle related questionnaires among 373 180 primary school students in 15 districts of Tianjin. The relationship between lifestyle and myopia was analyzed by the multivariate Logistic regression, and a nomogram prediction model was constructed to predict myopia risk. Results: The detection rate of myopia among primary school students in Tianjin was 37.6%. The results of the multivariate Logistic regression showed that daily outdoor activity time of 1-2 h ( OR =0.94) and >2 h ( OR =0.84), time of using daily electronic devices of >2 h ( OR =1.03), daily paper materials reading and writing time of 1-2 h ( OR =1.02) and >2 h ( OR =1.09), weekly fresh vegetable intake of 2-6 times ( OR =0.93) and ≥7 times ( OR =0.88) were statistically correlated with myopia ( P <0.01). The Nomogram prediction model showed that the factors associated with myopia were grade, family history of myopia, gender, daily outdoor activity time, weekly frequency of fresh vegetable intake, daily paper materials reading and writing time, and time of using daily electronic devices time. Conclusions The lifestyle of primary school students in Tianjin is associated with myopia. The constructed nomogram model could provide a scientific basis for identifying key intervention populations for myopia prevention and taking targeted prevention and control measures.

Objective To study the effect of curcumin on wound healing in diabetic mice.Methods The effect of curcumin on fibroblast activity was examined by the MTT assay,and the ROS detection kit was used to detect the effect of curcumin on the hydrogen peroxide-induced scavenging effect of reactive oxygen species(ROS)in fibroblasts.Q-PCR was used to detect the effects of curcumin on the mRNA expression of inflammatory factors CD86,CD206,IL-6 and ARG1 in lipopolysaccharide-induced RAW 264.7macrophage.The wound model of diabetes was established by intraperitoneal injection of streptozotocin.Hematoxylin-eosin(HE)and Masson staining were used to evaluate wound healing and histomorphological changes,and immunofluorescence staining was used to determine skin tissue α-smooth muscle actin,CD86 and CD206 expression.Results Curcumin had no significant effect on fibroblast activity at concentrations less than 20 mol·L-1;curcumin scavenged hydrogen peroxide-induced intracellular ROS in fibroblasts;curcumin decreased the mRNA expression of CD86 and IL-6 while increasing CD206 and ARG1 in lipopolysaccharide-induced RAW 264.7 macrophages.After in vivo administration,compared with the control group,wound healing was significantly faster in the curcumin(15,30 mg·mL-1)group after 7 d and 14 d of wound perforation(P＜0.01).Hematoxylin-eosin(HE)and Masson staining results confirmed a significant increase in granulation tissue and a significant increase in collagen deposition in the curcumin(15,30 mg·mL-1)group.Immunofluorescence assay showed significantly higher expression of CD206(P＜0.01)and significantly reduced expression of CD86(P＜0.01)in the skin wounds of curcumin(15,30 mg·mL-1)for 14 d.In addition,the expression of α-SMA in the wound of the high-dose curcumin(30 mg·mL-1)group was significantly higher than that of the low-dose curcumin group(P＜0.01).Conclusion Curcumin accelerates diabetic wound healing by promoting granulation tissue proliferation and collagen deposition in refractory diabetic wounds in mice through its anti-inflammatory and antioxidant effects.

BACKGROUND:Inflammation,oxidative stress and bacterial infection are the main causes of delayed wound healing in diabetes.In recent years,various inorganic nanomaterials have been widely used in the treatment of skin wound healing due to their antibacterial activities,but their effects on anti-oxidation and anti-inflammation are limited. OBJECTIVE:To investigate the effect of Prussian blue nanoparticles on the wound repair of diabetes in terms of antioxidant,anti-inflammatory and photothermal antibacterial activities. METHODS:Prussian blue nanoparticles were prepared and characterized.(1)In vitro:The biocompatibility of Prussian blue nanoparticles with different concentrations was detected by MTT assay.The cytoprotective effect of Prussian blue nanoparticles and the intracellular reactive oxidative species level were examined under the condition of hydrogen peroxide.The ability of Prussian blue nanoparticles to decompose hydrogen peroxide and superoxide anion radicals was tested;the effect of Prussian blue nanoparticles on lipopolysaccharide-induced macrophage inflammation was investigated.The photothermal antibacterial activity of Prussian blue nanoparticles was detected by the plate colony counting method.(2)In vivo:ICR mice were intraperitoneally injected with streptozotocin to establish a diabetes mouse model.After the model was successfully established,a 6 mm wound was created on the back with a hole punch.There were the control group(no treatment),the Prussian blue group and the Prussian blue with light group.The wound healing and histomorphological changes were observed. RESULTS AND CONCLUSION:(1)In vitro:Prussian blue nanoparticles in 25-200 μg/mL were non-toxic to cells.Prussian blue nanoparticles had the extremely strong antioxidant capacity and mitigated the intracellular reactive oxidative species at a high oxidative stress environment,resulting in a pronounced cytoprotective effect.The Prussian blue nanoparticles not only exhibited hydrogen peroxide degradation activity but also showed strong superoxide scavenging ability.Prussian blue nanoparticles also displayed significant anti-inflammatory activity and extremely strong antibacterial ability after light irradiation.(2)In vivo:After 14 days,the wound sizes of the Prussian blue group and Prussian blue with light group were significantly reduced,and the healing speed of Prussian blue with light group was the fastest.Hematoxylin-eosin and Masson staining showed a lot of granulation tissue formation and collagen deposition in the Prussian blue group and the Prussian blue with light group,of which the Prussian blue with light group was the most.Immunofluorescence staining displayed that,compared with the control group,the expressions of α-SMA and CD31 were increased significantly in Prussian blue group and Prussian blue with light group(P<0.05),but F4/80 expression was decreased significantly in Prussian blue group and Prussian blue with light group(P<0.05),indicating more obvious improvement in the Prussian blue with light group.(3)These results showed that Prussian blue nanoparticles could promote the skin wound healing of the diabetes mouse model by exerting anti-inflammatory,antioxidant and antibacterial effects.

Objective:To construct a prediction model for the clinical supply of blood components in Xi′an City from 2023 to 2025.Methods:Based on the blood supply data of the Blood Management Information System of Shaanxi Provincial Blood Center from January 2013 to December 2022, a gray prediction model and an exponential curve fitting model were used to construct the prediction model, and the optimal prediction model was determined according to the error parameters of the relevant indicators of the model. The supply of blood components in Xi′an from 2023 to 2025 was predicted.Results:The fitting equations of the exponential curve fitting model to predict the supply of suspended red blood cells, platelets and cryoprecipitate in Xi′an were, x（1）（ t+1）=1.16e 0.04t， x（1）（ t+1）=1.04e 0.12t and x（1）（ t+1）=1.01e 1.10t, respectively. The mean absolute errors (mean relative errors) of the exponential curve fitting model in predicting the supply of suspended red blood cells, platelets and cryoprecipitate in Xi′an were 10 488.7 (0.05%), 2 114.9 (0.08%) and 3 089.6 (0.07%), respectively, which were lower than those of the gray prediction model, about 10 488.7 (3.44%), 2 152.78 (8.20%) and 3 441.35 (7.92%), respectively. The exponential curve fitting model predicted that the clinical supply of blood components in Xi′an would increase year by year from 2023 to 2025, and the clinical supply of suspended red blood cells, platelets, and cryoprecipitate in Xi′an would increase to 409 467 U, 69 818 therapeutic volume and 94 724 U, respectively by 2025. Conclusion:The exponential curve fitting model can make a good prediction of the clinical supply of blood components in Xi′an City.

Objective:To construct a prediction model for the clinical supply of blood components in Xi′an City from 2023 to 2025.Methods:Based on the blood supply data of the Blood Management Information System of Shaanxi Provincial Blood Center from January 2013 to December 2022, a gray prediction model and an exponential curve fitting model were used to construct the prediction model, and the optimal prediction model was determined according to the error parameters of the relevant indicators of the model. The supply of blood components in Xi′an from 2023 to 2025 was predicted.Results:The fitting equations of the exponential curve fitting model to predict the supply of suspended red blood cells, platelets and cryoprecipitate in Xi′an were, x（1）（ t+1）=1.16e 0.04t， x（1）（ t+1）=1.04e 0.12t and x（1）（ t+1）=1.01e 1.10t, respectively. The mean absolute errors (mean relative errors) of the exponential curve fitting model in predicting the supply of suspended red blood cells, platelets and cryoprecipitate in Xi′an were 10 488.7 (0.05%), 2 114.9 (0.08%) and 3 089.6 (0.07%), respectively, which were lower than those of the gray prediction model, about 10 488.7 (3.44%), 2 152.78 (8.20%) and 3 441.35 (7.92%), respectively. The exponential curve fitting model predicted that the clinical supply of blood components in Xi′an would increase year by year from 2023 to 2025, and the clinical supply of suspended red blood cells, platelets, and cryoprecipitate in Xi′an would increase to 409 467 U, 69 818 therapeutic volume and 94 724 U, respectively by 2025. Conclusion:The exponential curve fitting model can make a good prediction of the clinical supply of blood components in Xi′an City.

Objective To clarify the changes in CXCL5 in serum and gastric tissues of patients with chronic atrophic gastritis(CAG)and precancerous lesions of gastric cancer(PLGC)and to investigate the predictive value of CXCL5 for the diagnosis of CAG and PLGC.Methods This study enrolled 72 participants of CAG admitted to the Department of Splenology and Gastroenterology of the Second Affiliated Hospital of Anhui University of Chinese Medicine from June 2022 to June 2023,with gastroscopy and pathologically confirmed diagnosis,as well as 68 healthy participants who underwent gastroscopy in the same period at our department.We collected clinical information and laboratory results from all participants.The logistic regression analysis methods were used to identify the diagnostic value of serum CXCL5.Furthermore,in order to clarify the role of CXCL5 in the developent of CAG,a total of 15 patients each with CAG,intestinal metaplasia,and dysplasia treated at our hospital from June 2023 to December 2023,and 15 healthy participants were selected.The relationship between the expression of CXCL5 and the degree of clinicopathology was analysed in each group using ELISA,PCR,and immunohistochemistry staining to validate and assess the diagnostic efficacy of CXCL5.Results The study found that several factors were associated with CAG,including family history of tumours,smoking and alcohol consumption history,dietary regularity,Helicobacter pylori infection,the number of lesions,gastric function scores and CXCL5(P<0.05).The ROC curve had an AUC of 1.00 and a Youden index of 0.986,indicating excellent predictive ability.The ELISA results indicated a significantly higher serum CXCL5 expression level in the CAG,intestinal metaplasia,and dysplasia groups compared to the normal group.There was a positive correlation between the serum CXCL5 expression level and the degree of pathology.The PCR and immunohistochemistry staining results indicate that the mRNA and pro-tein expression levels of CXCL5 in gastric tissues of patient groups were significantly higher compared to the nor-mal group.Furthermore,the mRNA and protein expression levels of CXCL5 in gastric tissues were positively correlated with the degree of pathology.Conclusions The results indicate that CXCL5 is highly expressed in the serum and gastric tissues of patients with CAG and PLGC,and its expression level is positively correlated with the degree of pathology.Therefore,CXCL5 could serve as a predictive indicator and a potential therapeutic target for the diagnosis of CAG and PLGC.

The incidence of blood tumors is getting higher and higher. In addition to traditional chemoradiotherapy, in recent years, with the development of nuclear medicine technology and nuclide, nuclide therapy is playing an increasingly important role in the treatment of blood tumors. At present, the main research on the treatment of blood tumors focuses on acute myeloid leukemia (AML), but progress has also been made in other blood tumors. 213Bi and 225Ac-labeled monoclonal antibodies have achieved good results in blood tumors. 225Ac has overcome the short half-life of 213Bi and the problems of transportation and preservation. However, there are still many problems to be solved in the clinical use of α particles. This article reviews the progress of α-particle therapy in blood system, in order to provide a broader idea for the treatment of blood tumors.