Objective:To explore the expression of filaggrin(FLG)in melanoma tissues and its correlation with clinicopathological features and prognosis in patients.Methods:A total of 70 melanoma patients treated at the People's Hospital Affiliated to Shandong First Medical University from June 2019 to August 2020 were selected as research subjects.Tumor tissues and adjacent tissues obtained during surgery were examined for FLG expression using immunohistochemistry.Based on FLG expression,patients were divided into a positive group and a negative group.The positive expression rates of FLG in tumor tissues,adjacent tissues and melanoma tissues with different pathological features were compared.The patients were followed up for 3 years,and based on prognosis,they were divided into a survival group(n=43)and a death group(n=27).The FLG positive expression rates were compared between the two groups.Kaplan-Meier survival curves were plotted,and survival times were compared.Results:The positive FLG expression rate in melanoma tissues was significantly lower than that in adjacent tissues(P<0.05).The proportions of patients with tumor diameter>1 cm,Breslow thickness>2 mm,local ulcer,TNM stage Ⅲ-Ⅳ,lymph node metastasis,and tumor invasion in positive FLG expression group were significantly lower than those in negative group(P<0.05 or P<0.01).Among the 70 patients,27 cases died and 43 survived,with a survival rate of 61.42%.The positive FLG expression rate was significantly lower in death group than that in survival group(P<0.05).The survival time of FLG-positive patients was significantly longer than that of FLG-negative patients(P=0.010).Multivariate Cox regression analysis revealed that Breslow thickness>2 mm,TNM grade Ⅲ-Ⅳ,lymph node metastasis,and tumor invasion were risk factors for the prognosis of melanoma patients(P<0.01 or P<0.001),while positive FLG expression was a protective factor(P<0.01 or P<0.001).Conclusion:FLG expression is significantly decreased in melanoma tissues and is associated with pathological features such as Breslow thickness,tumor stage,invasion,lymph node metastasis,and prognosis.

Objective:To evaluate the accuracy of the oral healthcare information provided by different large language models (LLM) to explore their feasibility and limitations in the application of oral auxiliary, treatment and health consultation.Methods:This study designed eight items comprising 47 questions in total related to the diagnosis and treatment of oral diseases [to assess the performance of LLM as an artificial intelligence (AI) medical assistant], and five items comprising 35 questions in total about oral health consultations (to assess the performance of LLM as a simulated doctor). These questions were answered individually by the five LLM models (Erine Bot, HuatuoGPT, Tongyi Qianwen, iFlytek Spark, ChatGPT). Two attending physicians with more than 5 years of experience independently rated the responses using the 3C criteria (correct, clear, concise), and the consistency between the raters was assessed using the Spearman rank correlation coefficient, and the Kruskal-Wallis test and Dunn post hoc test were used to assess the statistical differences between the models. Additionally, this study used 600 questions from the 2023 dental licensing examination to evaluate the time taken to answer, scores, and accuracy of each model.Results:As an AI medical assistant, LLM can assist doctors in diagnosis and treatment decision-making, with an inter-evaluator Spearman coefficient of 0.505 ( P<0.01). As a simulated doctor, LLM can carry out patient popularization, with an inter-evaluator Spearman coefficient of 0.533 ( P<0.01). The 3C scores of each model as an AI medical assistant and a simulated doctor were respectively: 2.00 (1.00, 3.00) and 2.00 (2.00, 3.00) points of Erine Bot, 1.00 (1.00, 2.00) and 2.00 (1.00, 2.00) points of HuatuoGPT, 2.00 (1.00, 2.00) and 2.00 (1.00, 3.00) points of Tongyi Qianwen, 2.00 (1.00, 2.00) and 2.00 (1.75, 2.25) points of iFlytek Spark, 3.00 (2.00, 3.00) and 3.00 (2.00, 3.00) points of ChatGPT (full score of 4 points). The Kruskal-Wallis test results showed that, as an AI medical assistant or a simulated doctor, there were statistically differences in the 3C scores among the five large language models (all P<0.001). The average score of the 5 LLMs on the dental licensing examination was 370.2, with an accuracy rate of 61.7% (370.2/600) and a time consumption of 94.6 min. Specifically, Erine Bot took 115 min, scored 363 points with an accuracy rate of 60.5% (363/600), HuatuoGPT took 224 min and scored 305 points with an accuracy rate of 50.8% (305/600), Tongyi Qianwen took 43 min, scored 438 points with an accuracy rate of 73.0% (438/600), iFlytek Spark took 32 min, scored 364 points with an accuracy rate of 60.7% (364/600), and ChatGPT took 59 min, scored 381 points with an accuracy rate of 63.5% (381/600). Conclusions:Based on the evaluation of LLM′s dual roles as an AI medical assistant and a simulated doctor, ChatGPT performes the best, with basically correct, clear and concise answers, followed by Erine Bot, Tongyi Qianwen and iFlytek Spark, with HuatuoGPT lagging behind significantly. In the dental licensing examination, all the 4 LLM, except for HuatuoGPT, reach the passing level, and the time consumpution for answering is significantly reduced compared to the 8 h required for the exam regulations in all of the five models. LLM has the feasibility of application in oral auxiliary, treatment and health consultation, and it can help both doctors and patients obtain medical information quickly. Howere, their outputs carry a risk of errors (since the 3C scoring results do not reach the full marks), so prudent judgment should be exercised when using them.

Objective:To evaluate the accuracy of the oral healthcare information provided by different large language models (LLM) to explore their feasibility and limitations in the application of oral auxiliary, treatment and health consultation.Methods:This study designed eight items comprising 47 questions in total related to the diagnosis and treatment of oral diseases [to assess the performance of LLM as an artificial intelligence (AI) medical assistant], and five items comprising 35 questions in total about oral health consultations (to assess the performance of LLM as a simulated doctor). These questions were answered individually by the five LLM models (Erine Bot, HuatuoGPT, Tongyi Qianwen, iFlytek Spark, ChatGPT). Two attending physicians with more than 5 years of experience independently rated the responses using the 3C criteria (correct, clear, concise), and the consistency between the raters was assessed using the Spearman rank correlation coefficient, and the Kruskal-Wallis test and Dunn post hoc test were used to assess the statistical differences between the models. Additionally, this study used 600 questions from the 2023 dental licensing examination to evaluate the time taken to answer, scores, and accuracy of each model.Results:As an AI medical assistant, LLM can assist doctors in diagnosis and treatment decision-making, with an inter-evaluator Spearman coefficient of 0.505 ( P<0.01). As a simulated doctor, LLM can carry out patient popularization, with an inter-evaluator Spearman coefficient of 0.533 ( P<0.01). The 3C scores of each model as an AI medical assistant and a simulated doctor were respectively: 2.00 (1.00, 3.00) and 2.00 (2.00, 3.00) points of Erine Bot, 1.00 (1.00, 2.00) and 2.00 (1.00, 2.00) points of HuatuoGPT, 2.00 (1.00, 2.00) and 2.00 (1.00, 3.00) points of Tongyi Qianwen, 2.00 (1.00, 2.00) and 2.00 (1.75, 2.25) points of iFlytek Spark, 3.00 (2.00, 3.00) and 3.00 (2.00, 3.00) points of ChatGPT (full score of 4 points). The Kruskal-Wallis test results showed that, as an AI medical assistant or a simulated doctor, there were statistically differences in the 3C scores among the five large language models (all P<0.001). The average score of the 5 LLMs on the dental licensing examination was 370.2, with an accuracy rate of 61.7% (370.2/600) and a time consumption of 94.6 min. Specifically, Erine Bot took 115 min, scored 363 points with an accuracy rate of 60.5% (363/600), HuatuoGPT took 224 min and scored 305 points with an accuracy rate of 50.8% (305/600), Tongyi Qianwen took 43 min, scored 438 points with an accuracy rate of 73.0% (438/600), iFlytek Spark took 32 min, scored 364 points with an accuracy rate of 60.7% (364/600), and ChatGPT took 59 min, scored 381 points with an accuracy rate of 63.5% (381/600). Conclusions:Based on the evaluation of LLM′s dual roles as an AI medical assistant and a simulated doctor, ChatGPT performes the best, with basically correct, clear and concise answers, followed by Erine Bot, Tongyi Qianwen and iFlytek Spark, with HuatuoGPT lagging behind significantly. In the dental licensing examination, all the 4 LLM, except for HuatuoGPT, reach the passing level, and the time consumpution for answering is significantly reduced compared to the 8 h required for the exam regulations in all of the five models. LLM has the feasibility of application in oral auxiliary, treatment and health consultation, and it can help both doctors and patients obtain medical information quickly. Howere, their outputs carry a risk of errors (since the 3C scoring results do not reach the full marks), so prudent judgment should be exercised when using them.

Objective To investigate the expression of WD repeat-containing protein 5(WDR5)in cervical cancer tissue and its relationship with clinical pathological characteristics and prognosis of patients.Methods 105 CA patients admitted to our hospital from January 2018 to March 2020 were included as the study subjects,the cancer tissue and adjacent tissue samples of patients were collected,Immunohistochemical staining and Western blot were used to detect the level of WDR5 in CA tissue and adjacent cancer tissues.Immunohistochemistry and Western blot were used to determine the level;Survival analysis was conducted using the Kaplan Meier method;The influencing factors of patient prognosis were analyzed through Cox regression.Results Among 105 CA tissue samples,the positive expression rate of WDR5(WDR5 positive cases/total cancer tissue cases)was 68.57% (72/105),which was higher than 22.86% (24/105)in adjacent cancer tissues(P<0.05);Compared to adjacent tissues(1.00±0.11),the expression level of WDR5 was higher in CA tissues(4.66±0.98)(t = 38.030,P<0.05).The expression level of WDR5 is related to the degree of differentiation,TNM staging,and lymph node metastasis(P<0.05);The survival rate of WDR5 positive expression was 65.28% (47/72)lower than that of negative expression of 90.91% (30/33)(Log rank χ2 = 6.732,P = 0.009);TNM staging,WDR5,degree of dif-ferentiation,and lymph node metastasis are all influencing factors for patient prognosis(P<0.05).Conclusion The expression of WDR5 is elevated in cervical cancer tissues,and its changes are closely related to TNM staging,differentiation,lymph node metastasis,and prognosis in cervical cancer patients.

Objective To establish ecological suitability zone of Forsythia suspensa(Thunb.)Vahl in Shanxi Province;To study the quality regionalization of Forsythia suspensa(Thunb.)Vahl from different producing areas in Shanxi Province;To provide reference for reasonable planting and wild tending of Forsythia suspensa(Thunb.)Vahl.Methods Maximum entropy(MaxEnt)model and ArcGIS software were used to study the ecological suitability of Forsythia suspensa(Thunb.)Vahl in Shanxi Province;By screening the main environmental factors and combining them with the content of forsythoside and forsythoside A in Forsythia suspensa(Thunb.)Vahl of different regions,a quality zoning of Forsythia suspensa Thunb.Vahl medicinal materials in Shanxi Province based on forsythoside,forsythoside A and environmental factors was constructed.Results The ecological suitable areas of Forsythia suspensa Thunb.Vahl in Shanxi Province were mainly distributed in the southern part of Shanxi Province,mainly in Linfen,Yuncheng,Changzhi,and Jincheng.The general contents of forsythoside and forsythoside A in the Forsythia suspensa(Thunb.)Vahl medicinal material were gradually reduced from southern part to northern part of Shanxi Province.The comprehensive quality was high in southern part of Shanxi Province,mainly in Linfen,Changzhi,Yuncheng and Jincheng.Conclusion The results of this study are consistent with the actual survey.The southern part of Shanxi province is a suitable planting area for high quality Forsythia suspensa(Thunb.)Vahl,which provides a reference for the standardized planting and wild tending of Forsythia suspensa(Thunb.)Vahl.

Selective tooth agenesis (STA) is an abnormal number of teeth due to genetic factors or the environment and is most commonly observed for permanent teeth. LRP6 is one of the common causative genes of STA and is inherited by an autosomal dominant mechanism, leading to non-syndrome tooth agenesis (NSTA) or syndrome tooth agenesis (STA). NSTA is only involved in tooth number and appearance abnormalities, whereas STA caused by LRP6 gene mutation results abnormal ear development, oral-facial clefting, sparse hair and hypohidrosis. In this paper, we review the phenotype and gene mutation traits of selective STA caused by LRP6 gene mutation identified in recent years and describe 38 patients with tooth agenesis from 24 mutation sites of LRP6 gene. We analyzed the percentage of missing teeth and found that the lateral incisor in the maxilla and the second premolar in the maxilla and mandible were most commonly lost, whereas all central incisors in the maxilla remained. LRP6 gene plays a major role in tooth development via the WNT/β-catenin signaling pathway, and LRP6 gene mutation can lead to a series of abnormal manifestations due to the disruption of the signaling pathway. The literature showed that LRP6 gene mutations occurred mostly at the E1 or E2 subdomain, meaning that STA due to the mutants extracellularly disturbed the WNT/β-catenin signaling pathway. However, mature treatments for selective congenital tooth loss are lacking.

Objective:To evaluate the effects of cellulift ? administered intradermally by mesotherapy on collagen synthesis in D-galactose induced aging model of rats. Methods:The study was conducted between April and October in 2014 in the Department of Anatomy, Qindao University. 30 male rats were randomly allocated to three groups: aging treatment group, aging control group and normal group; each group had ten rats. Aging treatment group and the control group were subcutaneously injected with D-galactose prepared in saline 125 mg·kg -1·d -1 for 42 day. Normal group was injected with saline for 42 d with same method and dose. From the 18th day after shaving their hair, the dermis of two sides hip skin marked zone of aging treatment group were injected cellulift at a dose of 1 ml per week for 4 weeks. Meanwhile, the aging control group was administrated the same volume of saline with same method. In vivo skin collagen alterations were investigated by reflectance confocal microscopy 3 days after every treatment. Skin specimens were obtained in 42 days. In order to measure the dermal collagen density and dermal thickness, HE and Masson trichrome staining were performed, respectively. Immunohistochemical staining for TGFβ1 and proliferating cell nuclear antigen (PCNA) was performed. Also, the level of TGFβ1, Smad3, types Ⅰ and Ⅲ pro-collagen mRNA expression was assessed by real-time quantitative polymerase chain reaction. Results:As revealed by RCM, collagen density of aging treatment group increased gradually after treatments, while in aging control group it decreased with time. Measurement of dermal thickness, hydroxyproline content and TGFβ-1 mRNA and protein expression in treatment group increased significantly as compared with that in aging control group, but were significantly lower than that in normal group (F values were 25.45, 98.90, 37.94 and 21.35, respectively; P<0.05). Measurement of dermal collagen density, the mRNA expression of type I pre-collagen and Smad3 elevated over that of aging control group with significant difference (F values were 44.46, 29.54 and 10.01, respectively; P<0.05), and there was no difference between normal and aging treatment group ( P>0.05). The difference of PCNA expression between aging control and treatment groups was not significant ( P>0.05), and both were lower than normal group ( P<0.05) . Conclusions:Cellulift ? shows anti-aging effects by activating collagen synthesis and eventually causing dermal thickening. This effect is probably mediated by TGF-β1/Smad3 signaling pathway.

OBJECTIVE: To assess the predictive value of myocardial scar mass in malignant ventricular arrhythmia (MVA) after myocardial infarction. METHODS: Thirty myocardial infarction patients with complete electrophysiology and cardiac MRI data admitted from January 2012 to August 2017 were enrolled in the study. According to the results of intracavitary electrophysiological study, MVA developed in 16 patients (MVA group) and not developed in 14 patients (non-MVA group). The qualitative and quantitative analysis of left ventricular ejection fraction (LVFE) and scar mass was performed with CV post-processing software and predictive value of myocardial scar and LVEF for MVA after myocardial infarction was analyzed using ROC curves. RESULTS: LVEF in MVA group was significantly lower than that in non-MVA group, and scar mass in MVA group was significantly higher than that in non-MVA group (all <0.05). Regression analysis showed that LVEF (=1.580) and scar mass (=6.270) were risk factors for MVA after myocardial infarction. For predicting MVA, the area under ROC curve () of LVEF was 0.696 with a sensitivity of 0.786 and the specificity of 0.685; the of the scar mass was 0.839 with a sensitivity was 0.618 and the specificity of 0.929; the of LVEF combined with scar mass was 0.848 with a sensitivity of 0.688 and specificity of 0.857. CONCLUSIONS Myocardial scar assessed by late gadolinium enhancement MRI is more effective than LVEF in predicting MVA after myocardial infarction.
Arrhythmias, Cardiac ; diagnosis ; Cicatrix ; diagnostic imaging ; Contrast Media ; Gadolinium ; Humans ; Myocardial Infarction ; complications ; diagnostic imaging ; Predictive Value of Tests ; Ventricular Function, Left

Objective To explore the effects of piperine on cell proliferation and migration in angiotensin Ⅱ (Ang Ⅱ)-treated rat airway smooth muscle cells (ASMCs).Methods The primary ASMCs of rats were cultured by improved tissue-piece digestion inoculation and trypsin digestion.MTT assay was used to detect the effects of Ang Ⅱ and Ang Ⅱ receptor antagonist losartan on cell proliferation activity.After treatment with Ang Ⅱ and piperine, the cell proliferation activity, the cell cycle distribution and the cell migration were detected by MTT, flow cytometry and Transwell assay respectively.ERK1/2 inhibitor PD98059 and losartan were then applied to determine the expression of cyclin D1, MMP-9, p-ERK1/2, ERK1/2, and β-actin proteins by Western blot assay.Results After 24 h culture, Ang Ⅱ treatment promoted the cell proliferative activity in rat ASMCs (P<0.05), and the promotive effect of 10-7 mol/L Ang Ⅱ was the most significant.Additionally, losartan blocked the Ang Ⅱ-induced cell proliferative activity in rat ASMCs (P<0.05).10-7 mol/L Ang Ⅱ treatment resulted in the elevated cell proliferative activity, higher S phase fraction, increased migrated cell number, and enhanced expression of cyclin D1, MMP-9and p-ERK1/2 proteins (P<0.05);these effects were dose-dependently reversed by piperine.Both PD98059 and losartan blocked Ang Ⅱ-induced expression of p-ERK1/2, cyclin D1 and MMP-9 proteins in rat ASMCs.Conclusions Piperine may inhibit Ang Ⅱ-induced cell proliferation and cell migration via ERK1/2 signaling pathway in rat ASMCs.

OBJECTIVE:To prepare transferrin modified paclitaxel-loaded liposome(TF-PTX-LP),and to study the tumor in-hibition effect. METHODS:TF-PTX-LP was prepared by thin-film method,and morphology of TF-PTX-LP was observed. Qualita-tive and quantitative investigation were used to value the uptake efficiency of TF-LP and LP by HepG2 cells. The proliferation inhi-bition rate of HepG2 cells was investigated after treated with PTX,PTX-LP and TF-PTX-LP for 24,48 and 72 h. Tumor spheres were prepared by using HepG2 cells. Effects of normal saline,PTX,PTX-LP and TF-PTX-LP on the volume of tumor spheres were investigated after 0,1,2,4,5,6 and 7 d treatment. HepG2 tumor-bearing nude mice model was induced. Inhibitory effects of normal saline,PTX,PTX-LP and TF-PTX-LP(8.5 mg/kg by PTX)on transplantable tumor of tumor-bearing nude mice were in-vestigated. RESULTS:TF-PTX-LP showed uniform spherical shape,with particle size of 100-120 nm. The fluorescence intensity of HepG2 cells treated with TF-LP was stronger than that treated with LP(P<0.01). Compared with PTX and PTX-LP,TF-PTX-LP showed higher proliferation inhibition rate(P<0.01). Compared with normal saline,PTX and PTX-LP,tumor spheres were small-er in volume after treated with TF-PTX-LP,and inhibition rate of tumor was higher in tumor-bearing nude mice;there were statisti-cal significance after treated for 6,7 d(P<0.01). The proliferation inhibition rate and tumor spheres volume changed in time-de-pendent manner. CONCLUSIONS:TF-PTX-LP which owns good tumor inhibition effect is prepared successfully.