Super hydrophobic interface modified with silver nanoparticles was fabricated for the detection of pesticide residues.By using a chemical reduction method,silver nanoparticles were deposited on the substrate surfaces with different microscopic pore structures.Two kinds of composite substrates,including regular stainless steel mesh and cellulose polyester film,were used.The pre-treatment of the substrate with fluoridated reagents was used to form a super hydrophobic interface,which made the target molecules on the surface concentrate effectively.The surface with the cellulose polyester substrate was used to detect Rhodamine 6G (R 6G) effectively with surface enhanced Raman scattering (SERS) technique.The results showed that the detection hmit was 10-16 mol/L.In addition,the surfaces based on the stainless steel mesh and cellulose polyester substrate were used to detect trichlorfon pesticide with detection limits of 1 × 10-15 mol/L and 1 × 10-16 mol/L,respectively.

Objective:To investigate the role of hydrogen-rich salt water in improving depression-like symptoms and its possible molecular mechanism in rats.Methods:The experiment was divided into two stages. In the first stage, 35 healthy male SD rats were randomly divided into control group, model group, high-dose group, medium-dose group, and low-dose group ( n=7); rats in the control group and model group were gavaged with 8 mL/kg normal saline per d, and rats in the high-dose group, medium-dose group, and low-dose group were fed with 8 mL/kg hydrogen-rich saline water (containing 2, 1, and 0.5 ppm hydrogen) per d; except for the control group, the other groups were depressed with chronic unpredictable mild stimulation (CUMS) for 4 weeks. In the second stage, 30 healthy male SD rats were randomly divided into hydrogen water group, hydrogen water+fluoxetine group, and nuclear factor erythroid 2-related factor 2 (Nrf2) inhibition group ( n=10); optimal hydrogen concentration (0.8 ppm) hydrogen-rich saline water (8 mL/kg) per d was given to rats of these 3 groups by gavage; fluoxetine (5 mg/kg) by gavage was given to the hydrogen-water+fluoxetine group, and all-transretinoic acid (10 mg/kg) by gavage was given to the Nrf2 inhibition group; CUMS was given for 4 weeks in these 3 groups. Rats were weighed at fixed times at each weekend. Four weeks after intervention, the total distance and average speed of rats in each group were determined by open field test. After open field test, blood was collected from the orbital veins from all rats; serum superoxidase dismutase (SOD) and malondialdehyde (MDA) contents were determined by ELISA. The expressions of brain-derived neurotrophic factor (BDNF), heme oxygenase-1 (HO-1), Nrf2, and phosphorylated Nrf2 (p-Nrf2) in the hippocampal CA3 region were detected by Western blotting. Results:(1) In the first stage, after 3 and 4 weeks of intervention, as compared with the model group, the body weight of the rats in the high-dose group, medium-dose group, and low-dose group increased significantly ( P<0.05). As compared with the model group, the medium-dose group, and low-dose group had significantly increased total distance and average speed, significantly increased serum SOD content, significantly decreased serum MDA content, significantly increased BDNF and HO-1 expressions and decreased p-Nrf2 expression in the CA3 region of the hippocampus ( P<0.05). (2) In the second stage, after 3 and 4 weeks of intervention, as compared with the Nrf2 inhibition group, the body weight of the hydrogen water group and hydrogen water+fluoxetine group increased significantly ( P<0.05). As compared with the Nrf2 inhibition group, the hydrogen water group and hydrogen water+fluoxetine group had significantly increased total distance and average speed, significantly increased serum SOD content, significantly decreased serum MDA content, statistically increased BNDF and HO-1 expressions in the CA3 region of the hippocampus, and the hydrogen water+fluoxetine group had significantly increased Nrf2 and p-Nrf2 expressions in the CA3 region of the hippocampus ( P<0.05). As compared with the hydrogen water group, the hydrogen water+fluoxetine group had significantly increased BNDF and HO-1 expressions and increased p-Nrf2 expression in the CA3 region of the hippocampus ( P<0.05). Conclusion:Hydrogen-rich salt water can increase the serum SOD and reduce the serum MDA, increase the BDNF and HO-1 protein expressions in the hippocampal areas of depressed rats, thereby improving the depression-like symptoms; the synergistic effect of hydrogen-rich saline water and fluoxetine on anti-depression may be related to antioxidant effect of Nrf2 signaling.

Objective:To investigate whether IL-6 using in early pregnancy can improve the pregnancy outcome of recurrent spontaneous abortion(RSA)mice and its relevant mechanism,providing new ideas for RSA clinical treatment.Methods:CBA/J×DBA/2 RSA model mice were constructed,and randomly divided the pregnant mice into five groups:control group,0.1 ng/ml IL-6 group,1 ng/ml IL-6 group,10 ng/ml IL-6 group and 100 ng/ml IL-6 group.IL-6 was not injected in control group,while different concentra-tions of IL-6 were respectively injected into other groups on the 0.5 day of pregnancy.Pregnant rats were killed at 13.5 d and the embryo loss rate was calculated,the placental tissue was taked out,and expressions of IL-6 and indoleamine 2,3-dioxygenase(IDO)in tissues were detected by Western blot.Results:Embryo absorption rates of 0.1 ng/ml IL-6 group,1 ng/ml IL-6 group,10 ng/ml IL-6 group and 100 ng/ml IL-6 group were obviously lower than that in control group(P=0.002 4,P=0.007 0,P=0.027 0,P=0.031 0).IL-6 of exogenous injection was positive correlated with that expressed in mice placental tissue(r=0.791,P=0.000 052).IL-6 concentration of exogenous injection was between 0～1 ng/ml,which was positively correlated with IDO expression in placental tissue(r=0.868,P<0.000 1),IL-6 was positively correlated with IDO expressed in placental tissue(r=0.982,P<0.000 1).IL-6 concentration of exogenous injection was between 1～100 ng/ml,which was inversely correlated with IDO expression(r=-0.725,P=0.002),and IL-6 was inversely correlated with IDO expressed in placental tissue(r=-0.972,P<0.000 1).Conclusion:A single intraperitoneal injection of specific concentration of exogenous IL-6 to RSA mice can reduce embryo absorption rate of mice and modify their pregnancy outcome,which possible mecha-nism is the exogenous IL-6 induces expressions of IL-6 and IDO for a long term.Whether the IDO expression in placental tissue in-crease or not can be regarded as a mark for whether the specific concentration IL-6 can protect the pregnancy or not.

BACKGROUND:In recent years,deep learning technologies have been increasingly applied in the field of oral medicine,enhancing the efficiency and accuracy of oral imaging analysis and promoting the rapid development of intelligent oral medicine. OBJECTIVE:To elaborate the current research status,advantages,and limitations of deep learning based on oral imaging in the diagnosis and treatment decision-making of oral diseases,as well as future prospects,exploring new directions for the transformation of oral medicine under the backdrop of deep learning technology. METHODS:PubMed was searched for literature related to deep learning in oral medical imaging published from January 2017 to January 2024 with the search terms"deep learning,artificial intelligence,stomatology,oral medical imaging."According to the inclusion criteria,80 papers were finally included for review. RESULTS AND CONCLUSION:(1)Classic deep learning models include artificial neural networks,convolutional neural networks,recurrent neural networks,and generative adversarial networks.Scholars have used these models in competitive or cooperative forms to achieve more efficient interpretation of oral medical images.(2)In the field of oral medicine,the diagnosis of diseases and the formulation of treatment plans largely depend on the interpretation of medical imaging data.Deep learning technology,with its strong image processing capabilities,aids in the diagnosis of diseases such as dental caries,periapical periodontitis,vertical root fractures,periodontal disease,and jaw cysts,as well as preoperative assessments for procedures such as third molar extraction and cervical lymph node dissection,helping clinicians improve the accuracy and efficiency of decision-making.(3)Although deep learning is promising as an important auxiliary tool for the diagnosis and treatment of oral diseases,it still has certain limitations in model technology,safety ethics,and legal regulation.Future research should focus on demonstrating the scalability,robustness,and clinical practicality of deep learning,and finding the best way to integrate automated deep learning decision support systems into routine clinical workflows.

Background::Although some well-established oncogenes are involved in cancer initiation and progression such as prostate cancer (PCa), the long tail of cancer genes remains to be defined. Goosecoid ( GSC) has been implicated in cancer development. However, the comprehensive biological role of GSC in pan-cancer, specifically in PCa, remains unexplored. The aim of this study was to investigate the role of GSC in PCa development. Methods::We performed a systematic bioinformatics exploration of GSC using datasets from The Cancer Genome Atlas, Genotype-Tissue Expression, Gene Expression Omnibus, German Cancer Research Center, and our in-house cohorts. First, we evaluated the expression of GSC and its association with patient prognosis, and identified GSC-relevant genetic alterations in cancers. Further, we focused on the clinical characterization and prognostic analysis of GSC in PCa. To understand the transcriptional regulation of GSC by E2F transcription factor 1 ( E2F1), we performed chromatin immunoprecipitation quantitative polymerase chain reaction (qPCR). Functional experiments were conducted to validate the effect of GSC on the tumor cellular phenotype and sensitivity to trametinib. Results::GSC expression was elevated in various tumors and significantly correlated with patient prognosis. The alterations of GSC contribute to the progression of various tumors especially in PCa. Patients with PCa and high GSC expression exhibited worse progression-free survival and biochemical recurrence outcomes. Further, GSC upregulation in patients with PCa was mostly accompanied with higher Gleason score, advanced tumor stage, lymph node metastasis, and elevated prostate-specific antigen (PSA) levels. Mechanistically, the transcription factor, E2F1, stimulates GSC by binding to its promoter region. Detailed experiments further demonstrated that GSC acted as an oncogene and influenced the response of PCa cells to trametinib treatment. Conclusions::GSC was highly overexpressed and strongly correlated with patient prognosis in PCa. We found that GSC, regulated by E2F1, acted as an oncogene and impeded the therapeutic efficacy of trametinib in PCa.