Female ; Humans ; Breast Neoplasms ; Testosterone ; Prolactin ; Estradiol ; Testosterone Congeners ; China

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.

BACKGROUND:Autoimmune regulator gene(Aire)and Wnt signaling pathway play an important role in the maintenance and differentiation of mouse embryonic stem cell pluripotency.However,whether the Wnt signal and Aire are involved in the differentiation of embryonic stem cells to thymic epithelial progenitor cells remains poorly understood. OBJECTIVE:To investigate the relationship of the Wnt signaling pathway and Aire with the differentiation of embryonic stem cells. METHODS:A two-step differentiation method was used to induce mouse embryonic stem cells to differentiate into endoderm and then into thymic epithelial progenitor cells.Mouse embryonic stem cells were infected with Aire shRNA lentivirus,and monoclonal stable strains were screened by puromycin.Mouse embryonic stem cells were collected on days 0,3 and 10 of the directed induction of differentiation after the induced differentiation by the two-step differentiation method.Cellular immunofluorescence,flow cytometry,western blot assay,and real-time qPCR were used to detect the expression changes of related genes and proteins. RESULTS AND CONCLUSION:(1)Immunofluorescence staining showed positive expression of SSEA1 and OCT4 on day 0 of targeted induction of differentiation.(2)Immunofluorescence staining showed double-positive expression of SOX17 and FOXA2 on day 3 of targeted induction of differentiation.(3)Flow cytometry results showed positive expression of EPCAM1,K5 and K8 on day 10 of targeted induction of differentiation.(4)Compared with undifferentiated mouse embryonic stem cells,the expressions of Wnt7a,β-catenin,and Gsk-3β proteins were elevated,and the expression level of Aire protein was decreased in induced differentiated thymic epithelial progenitor cells.(5)Compared with undifferentiated mouse embryonic stem cells,the expressions of Wnt7a,β-catenin,Gsk-3β and Aire mRNA were elevated in thymic epithelial progenitor cells.(6)Compared with normal cultured mouse embryonic stem cells and their ultimately differentiated thymic epithelial progenitor cells,the expression levels of Wnt7a,β-catenin and Gsk-3β proteins were reduced in mouse embryonic stem cells with knockdown of Aire genes and their final differentiated thymic epithelial progenitor cells.In conclusion,the Wnt signaling pathway and Aire are jointly involved in the process of targeted induction of differentiation of mouse embryonic stem cells into mouse thymic epithelial progenitor cells.

OBJECTIVE: To investigate a new noninvasive diagnostic model for nonalcoholic fatty liver disease (NAFLD) based on features of tongue images. METHODS: Healthy controls and volunteers confirmed to have NAFLD by liver ultrasound were recruited from China-Japan Friendship Hospital between September 2018 and May 2019, then the anthropometric indexes and sampled tongue images were measured. The tongue images were labeled by features, based on a brief protocol, without knowing any other clinical data, after a series of corrections and data cleaning. The algorithm was trained on images using labels and several anthropometric indexes for inputs, utilizing machine learning technology. Finally, a logistic regression algorithm and a decision tree model were constructed as 2 diagnostic models for NAFLD. RESULTS: A total of 720 subjects were enrolled in this study, including 432 patients with NAFLD and 288 healthy volunteers. Of them, 482 were randomly allocated into the training set and 238 into the validation set. The diagnostic model based on logistic regression exhibited excellent performance: in validation set, it achieved an accuracy of 86.98%, sensitivity of 91.43%, and specificity of 80.61%; with an area under the curve (AUC) of 0.93 [95% confidence interval (CI) 0.68-0.98]. The decision tree model achieved an accuracy of 81.09%, sensitivity of 91.43%, and specificity of 66.33%; with an AUC of 0.89 (95% CI 0.66-0.92) in validation set. CONCLUSIONS The features of tongue images were associated with NAFLD. Both the 2 diagnostic models, which would be convenient, noninvasive, lightweight, rapid, and inexpensive technical references for early screening, can accurately distinguish NAFLD and are worth further study.
Humans ; Non-alcoholic Fatty Liver Disease/diagnostic imaging* ; Ultrasonography ; Anthropometry ; Algorithms ; China

Objective:To explore the clinical therapeutic effect and safety of noncompliant balloon post-dilatation(PD)during emergency percutaneous coronary intervention(PCI)in patients with acute ST-segment elevation my-ocardial infarction(STEMI)and type 2 diabetes mellitus(T2DM)with low thrombus burden.Methods:A total of 122 STEMI±T2DM patients,who underwent emergency PCI in our hospital from Jan 2016 to Dec 2021,were con-secutively enrolled.According to PD therapy after PCI or not,they were divided into PD group(n=78)and non-PD group(n=44).Clinical data,PCI condition,postoperative TIMI blood flow,ST-segment elevation index res-olution(∑STIR),incidence rate of the major adverse cardiac events(MACE)during hospital and LVEF,incidence rates of in-stent restenosis and MACE within one year after PCI were compared between two groups.Results:Compared with non-PD group,there were significant reductions in incidence rate of MACE during hospital(15.9％vs.3.8％),incidence rates of in-stent restenosis(14.3％vs.2.6％)and MACE within one year after PCI(21.4％vs.2.6％)in PD group(P＜0.05 or＜0.01),there were significant rise in LVEF within one year after PCI[58.50(52.75,65.25)％vs.64.00(58.25,67.50)％]in PD group(P=0.005).Conclusion:It's safe and feasible to apply noncompliant balloon PD during emergency PCI in STEMI+T2DM patients with low thrombus bur-den.It can reduce incidence rate of MACE during hospital,in-stent restenosis and MACE within one year after PCI,and improve left heart function of patients,and provide clinical reference for the use of PD therapy in emer-gency PCI for these patients.

Food addiction refers to the individual dependence on certain specific foods (high-calorie foods) to the extent that it becomes difficult to control and manifests a series of addictive-like behavioral changes. Food addiction is an important factor in the development of human obesity and is also a core factor that most people cannot maintain weight loss or adhere to restrictive diets to maintain a healthy weight. A deeper understanding of food addiction and its neurobiological mechanisms will provide accurate targets for intervening in food addiction to improve obesity. Food addiction is characterized by compulsive, chronic and repetitive nature. The Yale Food Addiction Scale (YFAS), a scale specifically designed to assess food addiction, was developed in 2009 by modeling all the DSM-IV for substance dependence to be applicable to eating behavior. In 2016, Gearhardt developed the Yale Food Addiction Scale 2.0, which contains 35 survey questions, to align the YFAS scale with the diagnostic criteria for addictive disorders in the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders. One of the most valid and used animal models for food addiction is the mouse food self-administration model. The mouse food self-administration model was modified according to the rat cocaine addiction model, and the food addiction status of the animals was evaluated based on three behaviors: persistence of feeding response, feeding motivation, and compulsive feeding. Studies have shown that the neural circuits of the lateral hypothalamus-ventral tegmental area-nucleus accumbens and ventral tegmental area-prelimbic-nucleus accumbens are key neurobiological mechanisms that regulate food addiction. Dopaminergic neurons in the ventral tegmental area project to the nucleus accumbens (NAc) to facilitate food reinforcement, food reward, and food addiction. The corticotropin-releasing factor (CRF) secreted by the hypothalamus may mediate chronic stress-induced VTA-nucleus accumbens reward system dysfunction and promote food addiction in mice. Meanwhile, the nucleus accumbens receives glutamatergic projections from the prelimbic cortex, an integral part of the reward system. Specific inhibition of the PL-NAc neural circuit develops a food addiction-susceptible phenotype in mice. Furthermore, dopaminergic projections from the ventral tegmental area to the prelimbic cortex specifically inhibited the PL-NAc neural circuit to promote a food-addicted phenotype in mice. Additionally, neurotensin-positive neurons in the lateral septum (LS^Nts) project to the tuberal nucleus (TU) via GABA signaling to suppress hedonic feeding.

Objective To study the factors influencing the blood concentration of caspofungin(CPFG),construct a prediction model,and validate the predictive effect of the model,so as to provide reference for the individualised dosing of patients with fungal infections in haematology.Methods Seventy-five patients admitted to the Department of Haematology,General Hospital of Tianjin Medical University,who were treated with CPFG for antifungal therapy during the period of March 2021 to June 2022 were selected as the study subjects,and CPFG blood concentration monitoring was carried out to explore the influencing factors of CPFG blood concentration and to construct a prediction model accordingly.Hosmer-Lemeshow(H-L)was used to test the goodness-of-fit of the model,and another 30 patients were selected as the verification group,and the predictive effect of the model was verified by the receiver's operating characteristics(ROC)curve.Results The mean blood concentrations of the patients at 0.5,9 and 24 h were(12.54±4.38),(6.80±2.76),(4.13±2.16)μg·mL-1,and the mean AUC0-24h were(152.05±57.60)μg·mL-1·h.AUC0-24h was lower than the reference value(98 μg·mL-1·h)in two patients.The results of correlation analysis showed that gender showed a correlation with 0.5 h blood concentration(P＜0.05),and there was no correlation with the rest of the two time points blood concentration and AUC0-24h(P＞0.05).Body weight and albumin(Alb)concentration showed correlation with 0.5,9,24 h blood drug concentration and AUC0-24 h(P＜0.05),and the rest of the indicators showed no correlation with blood drug concentration and AUC0_24h at each time point(P＞0.05).The results of multifactorial analysis showed that the factors influencing the patients'0.5 h blood concentration were gender,Alb concentration and body weight,and the factors influencing the 9 and 24 h blood concentration and AUC0-24h were Alb concentration and body weight(P＜0.05).Correlation analysis showed that the daily dose was positively correlated with the plasma concentration of CPFG at 0.5,9 and 24 h and AUC0-24h(P＜0.05).The results of multivariate analysis showed that the daily dose was also one of the influencing factors of the plasma concentration of CPFG(P＜0.05).ROC curve shows that the model has good prediction ability.Conclusion Body weight and Alb are significantly associated with CPFG blood concentrations and area under the drug-time curve,which can be used as a basis for preventive risk avoidance.

Objective To explore the anti-inflammatory mechanism of the active ingredients of Gubi Formula in treating osteoarthritis.Methods Normal human chondrocytes were cultured in vitro,and lipopolysaccharide(LPS)stimulated inflammation.The cells were divided into control group(normal culture),model group(10 μg·mL-1 LPS),quercetin group(10 μg·mL-1 LPS+8 μmol·L-1 quercetin),formononetin group(10 μg·mL-1 LPS+50 μmol·L-1 formononetin),naringin group(10 μg·mL-1 LPS+10 μmol·L-1 naringin),asperosaponin Ⅵ group(10 μg·mL-1 LPS+50 pmol·L-1 asperosaponin Ⅵ),β-ecdysterone group(10 μg·mL-1 LPS+50 μmol·L-1β-ecdysterone).Cell counting kit-8(CCK8)was used to detect the viability of chondrocytes.Western blot was used to detect the expression of nuclear factor NF-kappa-B p65 subunit(p65),nuclear factor erythroid 2-related factor 2(Nrf2)nuclear protein.Results The cell viability of control group,model group,quercetin group,formononetin group,naringin group,Dipsacoside Ⅵ group,β-ecdysterone group were(103.10±8.55)％,(62.41±2.35)％,(76.92±1.74)％,(77.01±0.60)％,(80.39±3.06)％,(79.43±0.94)％,(55.20±0.99)％;the relative expression of Nrf2 protein were 1.00±0.00,1.01±0.09,1.30±0.15,0.91±0.15,1.23±0.25,0.71±0.19,1.51±0.13,1.26±0.15;the relative expression of P65 protein were 1.00±0.00,2.24±0.85,0.74±0.33,1.49±0.29,0.97±0.06,1.33±0.07,1.67±0.22,1.52±0.17;the relative expression of inflammatory mediators iNOS were 1.00±0.00,1.52±0.27,1.07±0.24,1.25±0.12,1.01±0.30,1.44±0.12,1.07±0.18,1.11±0.16.The above indexes in quercetin group,formononetin group and naringin group were significantly different from those in model group(P＜0.05,P＜0.01 and P＜0.001).Compared with the model group,there was no significant difference in the above indexes between the Asperosaponin Ⅵ group and theβ-ecdysterone group(all P＞0.05).Conclusion The active components of Gubi Formula,including quercetin,mangiferin,and naringin,can activate Nrf2-HO-1 signaling and inhibit the activation of the Nuclear factor-κB(NF-κB)pathway plays an anti-inflammatory role in alleviating osteoarthritis.

Objective This study aimed to investigate the potential relationship between urinary metals copper (Cu), arsenic (As), strontium (Sr), barium (Ba), iron (Fe), lead (Pb) and manganese (Mn) and grip strength. Methods We used linear regression models, quantile g-computation and Bayesian kernel machine regression (BKMR) to assess the relationship between metals and grip strength.Results In the multimetal linear regression, Cu (β=-2.119), As (β=-1.318), Sr (β=-2.480), Ba (β=0.781), Fe (β= 1.130) and Mn (β=-0.404) were significantly correlated with grip strength (P < 0.05). The results of the quantile g-computation showed that the risk of occurrence of grip strength reduction was -1.007 (95％ confidence interval:-1.362, -0.652; P < 0.001) when each quartile of the mixture of the seven metals was increased. Bayesian kernel function regression model analysis showed that mixtures of the seven metals had a negative overall effect on grip strength, with Cu, As and Sr being negatively associated with grip strength levels. In the total population, potential interactions were observed between As and Mn and between Cu and Mn (Pinteractions of 0.003 and 0.018, respectively).Conclusion In summary, this study suggests that combined exposure to metal mixtures is negatively associated with grip strength. Cu, Sr and As were negatively correlated with grip strength levels, and there were potential interactions between As and Mn and between Cu and Mn.

Objective:To investigate the mechanism of Sulfo-N-succinimidyloleate (SSO) regulating lipid metabolism disorder induced by silicon dioxide (SiO 2) . Methods:In March 2023, Rat alveolar macrophages NR8383 were cultured in vitro and randomly divided into control group (C), SSO exposure group (SSO), SiO 2 exposure group (SiO 2) and SiO 2+SSO exposure group (SiO 2+SSO). NR8383 cells were exposure separately or jointly by SSO and SiO 2 for 36 h to construct cell models. Immunofluorescence and BODIPY 493/ 503 staining were used to detect cluster of differentiation (CD36) and intracellular lipid levels, the protein expression levels of CD36, liver X receptors (LXR), P-mammalian target of rapamycin (P-mTOR) and cholinephosphotransferase 1 (CHPT1) were detected by Western blot, respectively, and lipid metabolomics was used to screen for different lipid metabolites and enrichment pathways. Single-factor ANOVA was used for multi-group comparison, and LSD test was used for pair-to-group comparison. Results:SiO 2 caused the expression of CD36 and P-mTOR to increase ( P=0.012, 0.020), the expression of LXR to decrease ( P=0.005), and the intracellular lipid level to increase. After SSO treatment, CD36 expression decreased ( P=0.023) and LXR expression increased ( P=0.000) in SiO 2+SSO exposure group compared with SiO 2 exposure group. Metabolomics identified 87 different metabolites in the C group and SiO 2 exposure group, 19 different metabolites in the SiO 2 exposure group and SiO 2+SSO group, and 5 overlaps of different metabolites in the two comparison groups, they are PS (22∶1/14∶0), DG (O-16∶0/18∶0/0∶0), PGP (i-13∶0/i-20∶0), PC (18∶3/16∶0), and Sphinganine. In addition, the differential metabolites of the two comparison groups were mainly concentrated in the glycerophospholipid metabolism and sphingolipid metabolism pathways. The differential gene CHPT1 in glycerophospholipid metabolic pathway was verified, and the expression of CHPT1 decreased after SiO 2 exposure. Conclusion:SSO may improve SiO 2-induced lipid metabolism disorders by regulating PS (22∶1/14∶0), DG (O-16∶0/18∶0/0∶0), PGP (i-13∶0/i-20∶0), PC (18∶3/16∶0), SPA, glycerophospholipid metabolism and sphingolipid metabolism pathways.