Background: Diabetic macrovascular and microvascular complications often coexist and may share similar risk factors and pathological pathways. We aimed to investigate whether 10-year atherosclerotic cardiovascular disease (ASCVD) risk, which is commonly assessed in diabetes management, can predict incident diabetic nephropathy (DN) and retinopathy (DR) in patients with type 2 diabetes mellitus (T2DM). Methods: This prospective cohort study enrolled 2,891 patients with clinically diagnosed T2DM who were free of ASCVD, nephropathy, or retinopathy at baseline in the Guangzhou (2017–2022) and Shaoguan (2019–2021) Diabetic Eye Study in southern China. The 10-year ASCVD risk was calculated by the Prediction for ASCVD Risk in China (China-PAR) equations. Multivariable- adjusted Cox proportional hazard models were developed to estimate hazard ratios (HRs) with 95% confidence intervals (CIs). The area under the receiver operating characteristic curve (AUC) was used to evaluate predictive capability. Results: During follow-up, a total of 171 cases of DN and 532 cases of DR were documented. Each 1% increment in 10-year ASCVD risk was associated with increased risk of DN (pooled HR, 1.122; 95% CI, 1.094 to 1.150) but not DR (pooled HR, 0.996; 95% CI, 0.979 to 1.013). The model demonstrated acceptable performance in predicting new-onset DN (pooled AUC, 0.670; 95% CI, 0.628 to 0.715). These results were consistent across cohorts and subgroups, with the association appearing to be more pronounced in women. Conclusion Ten-year ASCVD risk predicts incident DN but not DR in our study population with T2DM. Regular monitoring of ASCVD risk in routine diabetes practice may add to the ability to enhance population-based prevention for both macrovascular and microvascular diseases, particularly among women.

Background: Diabetic macrovascular and microvascular complications often coexist and may share similar risk factors and pathological pathways. We aimed to investigate whether 10-year atherosclerotic cardiovascular disease (ASCVD) risk, which is commonly assessed in diabetes management, can predict incident diabetic nephropathy (DN) and retinopathy (DR) in patients with type 2 diabetes mellitus (T2DM). Methods: This prospective cohort study enrolled 2,891 patients with clinically diagnosed T2DM who were free of ASCVD, nephropathy, or retinopathy at baseline in the Guangzhou (2017–2022) and Shaoguan (2019–2021) Diabetic Eye Study in southern China. The 10-year ASCVD risk was calculated by the Prediction for ASCVD Risk in China (China-PAR) equations. Multivariable- adjusted Cox proportional hazard models were developed to estimate hazard ratios (HRs) with 95% confidence intervals (CIs). The area under the receiver operating characteristic curve (AUC) was used to evaluate predictive capability. Results: During follow-up, a total of 171 cases of DN and 532 cases of DR were documented. Each 1% increment in 10-year ASCVD risk was associated with increased risk of DN (pooled HR, 1.122; 95% CI, 1.094 to 1.150) but not DR (pooled HR, 0.996; 95% CI, 0.979 to 1.013). The model demonstrated acceptable performance in predicting new-onset DN (pooled AUC, 0.670; 95% CI, 0.628 to 0.715). These results were consistent across cohorts and subgroups, with the association appearing to be more pronounced in women. Conclusion Ten-year ASCVD risk predicts incident DN but not DR in our study population with T2DM. Regular monitoring of ASCVD risk in routine diabetes practice may add to the ability to enhance population-based prevention for both macrovascular and microvascular diseases, particularly among women.

Background: Diabetic macrovascular and microvascular complications often coexist and may share similar risk factors and pathological pathways. We aimed to investigate whether 10-year atherosclerotic cardiovascular disease (ASCVD) risk, which is commonly assessed in diabetes management, can predict incident diabetic nephropathy (DN) and retinopathy (DR) in patients with type 2 diabetes mellitus (T2DM). Methods: This prospective cohort study enrolled 2,891 patients with clinically diagnosed T2DM who were free of ASCVD, nephropathy, or retinopathy at baseline in the Guangzhou (2017–2022) and Shaoguan (2019–2021) Diabetic Eye Study in southern China. The 10-year ASCVD risk was calculated by the Prediction for ASCVD Risk in China (China-PAR) equations. Multivariable- adjusted Cox proportional hazard models were developed to estimate hazard ratios (HRs) with 95% confidence intervals (CIs). The area under the receiver operating characteristic curve (AUC) was used to evaluate predictive capability. Results: During follow-up, a total of 171 cases of DN and 532 cases of DR were documented. Each 1% increment in 10-year ASCVD risk was associated with increased risk of DN (pooled HR, 1.122; 95% CI, 1.094 to 1.150) but not DR (pooled HR, 0.996; 95% CI, 0.979 to 1.013). The model demonstrated acceptable performance in predicting new-onset DN (pooled AUC, 0.670; 95% CI, 0.628 to 0.715). These results were consistent across cohorts and subgroups, with the association appearing to be more pronounced in women. Conclusion Ten-year ASCVD risk predicts incident DN but not DR in our study population with T2DM. Regular monitoring of ASCVD risk in routine diabetes practice may add to the ability to enhance population-based prevention for both macrovascular and microvascular diseases, particularly among women.

Background: Diabetic macrovascular and microvascular complications often coexist and may share similar risk factors and pathological pathways. We aimed to investigate whether 10-year atherosclerotic cardiovascular disease (ASCVD) risk, which is commonly assessed in diabetes management, can predict incident diabetic nephropathy (DN) and retinopathy (DR) in patients with type 2 diabetes mellitus (T2DM). Methods: This prospective cohort study enrolled 2,891 patients with clinically diagnosed T2DM who were free of ASCVD, nephropathy, or retinopathy at baseline in the Guangzhou (2017–2022) and Shaoguan (2019–2021) Diabetic Eye Study in southern China. The 10-year ASCVD risk was calculated by the Prediction for ASCVD Risk in China (China-PAR) equations. Multivariable- adjusted Cox proportional hazard models were developed to estimate hazard ratios (HRs) with 95% confidence intervals (CIs). The area under the receiver operating characteristic curve (AUC) was used to evaluate predictive capability. Results: During follow-up, a total of 171 cases of DN and 532 cases of DR were documented. Each 1% increment in 10-year ASCVD risk was associated with increased risk of DN (pooled HR, 1.122; 95% CI, 1.094 to 1.150) but not DR (pooled HR, 0.996; 95% CI, 0.979 to 1.013). The model demonstrated acceptable performance in predicting new-onset DN (pooled AUC, 0.670; 95% CI, 0.628 to 0.715). These results were consistent across cohorts and subgroups, with the association appearing to be more pronounced in women. Conclusion Ten-year ASCVD risk predicts incident DN but not DR in our study population with T2DM. Regular monitoring of ASCVD risk in routine diabetes practice may add to the ability to enhance population-based prevention for both macrovascular and microvascular diseases, particularly among women.

Aim To investigate the effect of benzyl iso-thiocyanate (BITC) on the proliferation of mouse U14 cervical cancer cells and to explore the mechanism of cytotoxicity based on transcriptomic data analysis. Methods The effect of BITC on U14 cell activity was detected by MTT, nuclear morphological changes were observed by Hochest 33258 and fluorescent inverted microscope, cell cycle and apoptosis were determined by flow cytometry, and the transcriptome database of U14 cells before and after BITC (20 μmol · L

Aim To discover the potential active compounds and possible mechanisms in rheumatoid arthritis (RA) treatment with Zhi-Huang-Zhi-Tong powder (ZHZTP) by using network pharmacology and in vitro study. Methods The active ingredient targets and disease targets of Zhihuang Zhitong Powder were searched and screened by database; they intersected to get a common target; and the "drug-component-target" relationship network diagram was constructed for GO and KEGG enrichment analysis of the overlapping genes; then the core components were docked with the core targets. Finally, based on the inflammation model of HUVECs in vitro, the efficacy and mechanism of Zhihuang Zhitong powder were verified by MTT method, plate scratch test and Western blot. Results Active compounds involved in RA treatment were screened in the present study, and the top two were ursolic acid and emodin, all playing crucial roles in RA treatment with ZHZTP. Additionally, the key target was AKTA, TNF and IL-6. GO and KEGG enrichment analysis revealed that ZHZTP regulated BP, MF and CC, and also focused on regulating AKTA, TNF and IL-6 signaling pathway. Molecular docking showed that interactions between key active compounds and key targets were stable. In vitro ZHZTP significantly inhibited cell viability and migration of TNF-a-stimulated HUVECs, and the involved mechanism may be associated with PI3K/AKT/m-TOR signaling. Conclusions The present study reveals that the potential active compounds of ZHZTP are ursolic acid and emodin, and moreover, the involved mechanisms of ZHZTP for RA treatment are associated with PI3 K/AKT/m-TOR signaling.

Objective To analyze the literature on artificial intelligence in forensic research from 2012 to 2022 in the Web of Science Core Collection Database,to explore research hotspots and developmen-tal trends.Methods A total of 736 articles on artificial intelligence in forensic medicine in the Web of Science Core Collection Database from 2012 to 2022 were visualized and analyzed through the litera-ture measuring tool CiteSpace.The authors,institution,country(region),title,journal,keywords,cited references and other information of relevant literatures were analyzed.Results A total of 736 articles published in 220 journals by 355 authors from 289 institutions in 69 countries(regions)were identi-fied,with the number of articles published showing an increasing trend year by year.Among them,the United States had the highest number of publications and China ranked the second.Academy of Forensic Science had the highest number of publications among the institutions.Forensic Science Inter-national,Journal of Forensic Sciences,International Journal of Legal Medicine ranked high in publica-tion and citation frequency.Through the analysis of keywords,it was found that the research hotspots of artificial intelligence in the forensic field mainly focused on the use of artificial intelligence technol-ogy for sex and age estimation,cause of death analysis,postmortem interval estimation,individual identification and so on.Conclusion It is necessary to pay attention to international and institutional cooperation and to strengthen the cross-disciplinary research.Exploring the combination of advanced ar-tificial intelligence technologies with forensic research will be a hotspot and direction for future re-search.

Objective:To investigate the application value of the teaching evaluation method guided by cultivating "excellent doctors" in the clinical teaching of dermatology and venereology.Methods:A non-simultaneous control study was conducted, and the medical students who received theoretical learning and clinical internship in Department of Dermatology and Venereology, Affiliated Hospital of North Sichuan Medical College, from March 2020 to February 2022, were enrolled as subjects. According to the order of enrollment, 32 students who were enrolled from March 2020 to February 2021 were set up as control group, and 31 students who were enrolled from March 2021 to February 2022 were set up as experimental group. The students in the control group received lecture-based learning, and those in the experimental group received clinical teaching using a teaching and evaluation method guided by cultivating "excellent doctors". After the course ended, the two groups were compared in terms of the scores of theoretical knowledge and operation skills, clinical thinking ability [Self-Assessment of Clinical Reasoning and Reflection (SACRR)], core competence [Mini-Clinical Evaluation Exercise (Mini CEX)], and degree of satisfaction with teaching. SPSS 25.0 software was used to perform the independent samples t-test, the Mann-Whitney U test, the chi-square test, and the rank sum test. Results:One student in the control group voluntarily withdrew from the study, and one student in the experimental group did not complete the contents of internship. Finally, 31 students in the control group and 30 in the experimental group were included in the study. After 4 weeks of internship, compared with the control group, the experimental group had significantly higher scores of theoretical knowledge (88.00±4.30 vs. 85.71±4.12, t=2.12, P=0.040) and operation skills (91.87±3.99 vs. 88.23±3.84, t=3.63, P<0.05). After 4 weeks of internship, compared with the control group, the experimental group had significantly higher information systematization score (47.23±3.11 vs. 45.16±3.00), analysis problem score (34.87±2.30 vs. 31.29±2.30), truth finding score (16.30±1.49 vs. 14.45±1.52), reflective ability score [3.50 (3.00, 4.00) vs. 3.00 (3.00, 3.00)], and total score of SACRR (101.87±4.47 vs. 93.90±4.47), with significant differences between the two groups ( t/ Z=2.65, 6.17, 4.79, 3.15, and 6.96, all P<0.05). After 4 weeks of internship, the experimental group had a significantly better core competence than the control group ( Z=2.12, P=0.030); compared with the control group, the experimental group had significantly higher classroom teaching score (20.17±1.98 vs. 18.45±2.23, t=3.17, P<0.05), clinical practice score (19.83±2.10 vs. 17.65±2.17, t=4.00, P<0.05), learning plan score (18.63±2.24 vs. 17.03±2.15, t=2.85, P<0.05), teaching resource score (20.07±1.82 vs. 18.58±2.00, t=3.04, P<0.05) and total score (78.70±3.67 vs. 71.71±4.13, t=6.98, P<0.05). Conclusions:The application of the teaching and evaluation method guided by cultivating "excellent doctors" in the clinical teaching of dermatology and venereology can improve clinical theoretical knowledge, practical operation skills, clinical thinking ability, and core ability among interns and thus help to improve teaching quality. Therefore, it holds promise for clinical application.

Objective:To evaluate the effect of propofol on parvalbumin (PV) neurons in the medical prefrontal cortex(mPFC)of rats with social behavior disorders induced by chronic sleep deprivation.Methods:Forty-two SPF male Sprague-Dawley rats, aged 8 weeks, weighing 200-250 g, were divided into 3 groups ( n=14 each) using a random number table method: control group (group Con), chronic sleep deprivation plus natural sleep group (group CSD+ NS), and chronic sleep deprivation plus propofol group (group CSD+ Pro). Sleep deprivation model was established by the modified multiple platform method, the rats were placed in the sleep-deprivation tank for 20 h a day (14: 00-10: 00), and allowed to sleep naturally for 4 h (10: 00-14: 00) a day for 28 consecutive days. Propofol 40 mg/kg was intraperitoneally injected for 28 consecutive days after sleep deprivation in CSD+ Pro group. While the equal volume of 10% fat emulsion was given in Con and CSD+ NS groups. After the end of sleep deprivation, a three-box social experiment was used to detect the social behavior of rats, and the number of the PV positive cells and density of the perineuronal network (PNN) in the mPFC area were measured by immunofluorescence. Results:Compared with group Con, the pertentage of rapid eye movement sleep and sniffing time preference coefficients for the strange rat 1 in the first stage and for the strange rat 2 in the second stage were significantly decreased, and the number of the PV positive cells and density of PNN in the mPFC area were decreased in group CSD+ NS ( P<0.05). Compared with group CSD+ NS, the sniffing time preference coefficients for the strange rat 1 in the first stage and for the strange rat 2 in the second stage were significantly increased, the number of the PV positive cells and density of PNN in the mPFC area were increased( P<0.05), and no significant change was found in the percentage of the rapid eye movement sleep in group CSD+ Pro. Conclusions:Propofol probably increases the number and function of PV neurons in the mPFC and ameliorates sleep deprivation-induced social behavior disorders in sleep-deprived rats.

Objective To establish a sensitive,accurate and simple method for the determination of methotrexate and methotrexate polyglutamates(MTXPG2 and MTXPG3)in human erythrocytes.Methods A dual three element gradient liquid chromatograph with a fluorescence detector was used,the C18-WP column(20 mm ×4 mm,5μm)was used as the online SPE column,and the Athena C18-WP column(150 mm x4.6 mm,3 μm)was used as the analytical column.Erythrocyte lysate was precipitated with zinc sulphate-10％formic acid methanol(100:90,v/v),and postcolumn photo-oxidation of MTXPGs to fluorescent analytes using H2O2.The fluorescence excitation wavelength was 274 nm,the emission wavelength was 470 nm,the column temperature was 40 ℃,and the injection volume was 100 μL.The specificity,standard curve,lower limit of quantitation,precision,recovery and stability of the method were investigated.Results MTX,MTXPG2 and MTXPG3 had good linearity in the range of 12.5-400.0 nmol·L-1.The standard curve of MTX was y=763.8x-2 961.1(R2=0.999 5),and the extraction recovery rate was 60.7％-66.1％;the standard curve of MTXPG2 was y=1 017.8x-239.8(R2=0.998 4),and the extraction recovery rate was 67.2％-67.3％;the standard curve of MTXPG3 was y=1 069.1x-819.6(R2=0.999 4),the extraction recovery rate was 62.9％-70.1％.Intra-day precision RSD＜8.8％,inter-day precision RSD＜10.8％.Conclusion This method is accurate and reproducibility,and the online solid-phose extraction enrichment and separation of target compounds simplify the sample pretreatment steps,improve the analysis efficiency,and is suitable for detecting the concentration of MTX,MTXPG2 and MTXPG3 in erythrocytes of patients with rheumatoid arthritis.