Objective To investigate the dynamic characteristics of intestinal pathological development at different time points in a mouse model of colitis-associated colon cancer.Methods A colitis-cancer model was established in C57BL/6 mice using azoxymethane(AOM)combined with dextran sulfate sodium(DSS).Samples were collected at 7,10,and 14 weeks post-modeling and the spleen index,colon length,mass,and colon mass per unit length were measured.Histopathological changes in the colon were observed by hematoxylin and eosin and Masson staining.Expression levels of the cancer stem cell marker CD44 and Wnt signaling pathway genes Wnt2b,Lrp5,Axin2,and Znrf3 at different pathological stages were detected by reverse transcription quantitative real time PCR.Cancer-associated fibroblasts(FAP),CD44,the proliferation marker Ki67,and goblet cell MUC2 protein were detected by multiple immunofluorescence histochemistry(mIHC)and immunofluorescence.In addition,colon organoids were isolated from model mice at ten and fourteen weeks and cultured in vitro to observe changes in organoid morphology and marker expression.Results AOM/DSS-induced mice showed reduced,distorted,and branched colon crypt structures with a few collagen fibers at 7 weeks,and varying degrees of colon intraepithelial neoplasia,with an increased proportion of high-grade intraepithelial neoplasia over time and increased collagen fiber staining at ten and fourteen weeks.mRNA levels of CD44 and Wnt2b in the colon were significantly increased(P＜0.05)and Axin2 was decreased(P＜0.01)in model mice compared with control mice at fourteen week,and levels of Wnt2b,Lrp5,and Znrf3 were increased compared with seven-week mice(P＜0.01,P＜0.05,P＜0.01),and Axin2 was decreased(P＜0.01).mIHC staining showed increased expression of FAP and CD44 in the colon in model mice at ten and fourteen weeks,with decreased MUC2 expression.Colon organoids showed cystic dilation,especially at fourteen weeks,with more prominent expression of Ki67 and CD44.Conclusions The AOM/DSS-induced mouse model exhibited chronic colonic inflammation,low-grade intraepithelial neoplasia,and high-grade intraepithelial neoplasia at seven,ten,and fourteen weeks,respectively.The pathological microenvironment was characterized by fibroblast activation and abnormal proliferation of epithelial cells.

Enamel demineralization, the formation of white spot lesions, is a common issue in clinical orthodontic treatment. The appearance of white spot lesions not only affects the texture and health of dental hard tissues but also impacts the health and aesthetics of teeth after orthodontic treatment. The prevention, diagnosis, and treatment of white spot lesions that occur throughout the orthodontic treatment process involve multiple dental specialties. This expert consensus will focus on providing guiding opinions on the management and prevention of white spot lesions during orthodontic treatment, advocating for proactive prevention, early detection, timely treatment, scientific follow-up, and multidisciplinary management of white spot lesions throughout the orthodontic process, thereby maintaining the dental health of patients during orthodontic treatment.
Humans ; Consensus ; Dental Caries/etiology* ; Dental Enamel/pathology* ; Tooth Demineralization/etiology* ; Tooth Remineralization

Multimodal biometric identification technology,which combines multiple biometric methods,is being increasingly used in forensic science due to its advantages such as difficulty of forgery and great accuracy.However,the current identification mainly relies on unimodal biometrics including facial recognition,hand recognition,iris recognition,gait recognition,and voice recognition.Thus,to a large extent,the accuracy of identification depends on the quality of the unimodal data,which faces multiple challenges.In contrast,multimodal biometrics has more obvious advantages in the field of identification,which can not only effectively resist attacks,but also enrich the feature representation with complementary information from multimodal sources,mitigate the impact of environment on the identification performance,and enhance the robustness of the system.To this end,this paper combs through the relevant work in this field,and comprehensively reviews the current research status and development trend of biometric identification technology.First,based on bibliometrics,the paper combs through the relevant research results in the past ten years,analyzes,summarizes,and discusses the commonly used deep learning models in this field,respectively,from unimodal recognition to multi-modal fusion recognition.Then the paper discusses the future development direction of the multimodal biometric identification field in the light of the practical needs of court science and provides reference for identification research.

Drug-induced liver injury(DILI)is one of the major challenges in drug development and clinical practice,and effective prevention and con-trol measures remain lacking.Research has shown that DILI is primarily mediated by immune respons-es.Human leukocyte antigen(HLA)alleles are cur-rently the strongest genetic factors reported to be associated with DILI.Due to the low positive predic-tive value of HLA alleles,preemptive HLA genetic screening has limited clinical utility in preventing DILI.However,its high negative predictive value makes it valuable for DILI diagnosis and causality assessment.In recent years,polymorphisms in im-mune-related genes-such as those involved in anti-gen processing and presentation pathways,T-cell receptors,immunostimulatory molecules,and cyto-kines-have been found to be associated with DILI.Future studies combining these genes with HLA analysis may provide deeper mechanistic insights into DILI and facilitate their translational applica-tion in clinical practice,ultimately improving drug safety.

Lysine lactylation is a type of histone post-translational modification that is mainly regulated by fac-tors such as lactate level,glycolysis level,and vario us enzymes and proteins.Lysine lactylation involves several physio-pathological activities,including macrophage inflammatory response,somatic cell reprogramming,neuronal activity,and embryonic development,etc.Changes in the level of lactfication modification are involved in the development of neuropsy-chiatric disorders such as Alzheimer disease(AD),schizophrenia(SCZ)and depression.Inflammatory response and ab-normal neuronal activity are one of the important causes of neuropsychiatric diseases.The change of lactfication modifica-tion level participates in the development of AD,SCZ,depression and other neuropsychiatric diseases,which specifically regulate neuronal apoptosis,neuronal excitation,and microglial inflammatory response.

Multimodal biometric identification technology,which combines multiple biometric methods,is being increasingly used in forensic science due to its advantages such as difficulty of forgery and great accuracy.However,the current identification mainly relies on unimodal biometrics including facial recognition,hand recognition,iris recognition,gait recognition,and voice recognition.Thus,to a large extent,the accuracy of identification depends on the quality of the unimodal data,which faces multiple challenges.In contrast,multimodal biometrics has more obvious advantages in the field of identification,which can not only effectively resist attacks,but also enrich the feature representation with complementary information from multimodal sources,mitigate the impact of environment on the identification performance,and enhance the robustness of the system.To this end,this paper combs through the relevant work in this field,and comprehensively reviews the current research status and development trend of biometric identification technology.First,based on bibliometrics,the paper combs through the relevant research results in the past ten years,analyzes,summarizes,and discusses the commonly used deep learning models in this field,respectively,from unimodal recognition to multi-modal fusion recognition.Then the paper discusses the future development direction of the multimodal biometric identification field in the light of the practical needs of court science and provides reference for identification research.

Lysine lactylation is a type of histone post-translational modification that is mainly regulated by fac-tors such as lactate level,glycolysis level,and vario us enzymes and proteins.Lysine lactylation involves several physio-pathological activities,including macrophage inflammatory response,somatic cell reprogramming,neuronal activity,and embryonic development,etc.Changes in the level of lactfication modification are involved in the development of neuropsy-chiatric disorders such as Alzheimer disease(AD),schizophrenia(SCZ)and depression.Inflammatory response and ab-normal neuronal activity are one of the important causes of neuropsychiatric diseases.The change of lactfication modifica-tion level participates in the development of AD,SCZ,depression and other neuropsychiatric diseases,which specifically regulate neuronal apoptosis,neuronal excitation,and microglial inflammatory response.

Drug-induced liver injury(DILI)is one of the major challenges in drug development and clinical practice,and effective prevention and con-trol measures remain lacking.Research has shown that DILI is primarily mediated by immune respons-es.Human leukocyte antigen(HLA)alleles are cur-rently the strongest genetic factors reported to be associated with DILI.Due to the low positive predic-tive value of HLA alleles,preemptive HLA genetic screening has limited clinical utility in preventing DILI.However,its high negative predictive value makes it valuable for DILI diagnosis and causality assessment.In recent years,polymorphisms in im-mune-related genes-such as those involved in anti-gen processing and presentation pathways,T-cell receptors,immunostimulatory molecules,and cyto-kines-have been found to be associated with DILI.Future studies combining these genes with HLA analysis may provide deeper mechanistic insights into DILI and facilitate their translational applica-tion in clinical practice,ultimately improving drug safety.

Objective To investigate the dynamic characteristics of intestinal pathological development at different time points in a mouse model of colitis-associated colon cancer.Methods A colitis-cancer model was established in C57BL/6 mice using azoxymethane(AOM)combined with dextran sulfate sodium(DSS).Samples were collected at 7,10,and 14 weeks post-modeling and the spleen index,colon length,mass,and colon mass per unit length were measured.Histopathological changes in the colon were observed by hematoxylin and eosin and Masson staining.Expression levels of the cancer stem cell marker CD44 and Wnt signaling pathway genes Wnt2b,Lrp5,Axin2,and Znrf3 at different pathological stages were detected by reverse transcription quantitative real time PCR.Cancer-associated fibroblasts(FAP),CD44,the proliferation marker Ki67,and goblet cell MUC2 protein were detected by multiple immunofluorescence histochemistry(mIHC)and immunofluorescence.In addition,colon organoids were isolated from model mice at ten and fourteen weeks and cultured in vitro to observe changes in organoid morphology and marker expression.Results AOM/DSS-induced mice showed reduced,distorted,and branched colon crypt structures with a few collagen fibers at 7 weeks,and varying degrees of colon intraepithelial neoplasia,with an increased proportion of high-grade intraepithelial neoplasia over time and increased collagen fiber staining at ten and fourteen weeks.mRNA levels of CD44 and Wnt2b in the colon were significantly increased(P＜0.05)and Axin2 was decreased(P＜0.01)in model mice compared with control mice at fourteen week,and levels of Wnt2b,Lrp5,and Znrf3 were increased compared with seven-week mice(P＜0.01,P＜0.05,P＜0.01),and Axin2 was decreased(P＜0.01).mIHC staining showed increased expression of FAP and CD44 in the colon in model mice at ten and fourteen weeks,with decreased MUC2 expression.Colon organoids showed cystic dilation,especially at fourteen weeks,with more prominent expression of Ki67 and CD44.Conclusions The AOM/DSS-induced mouse model exhibited chronic colonic inflammation,low-grade intraepithelial neoplasia,and high-grade intraepithelial neoplasia at seven,ten,and fourteen weeks,respectively.The pathological microenvironment was characterized by fibroblast activation and abnormal proliferation of epithelial cells.

Objective To analyze the predictive value of serum levels of procalcitonin(PCT)and cytokines on the prognosis of patients with COVID-19 at admission.Methods From November 2022 to February 2023,patients diagnosed with COVID-19 who were admitted to Beijing Chest Hospital were enrolled.Chemiluminescence was used to detect serum PCT levels,and flow microsphere array was used to detect serum cytokines IL-1β,IL-2,IL-4,IL-5,IL-6,IL-8,IL-10,IL-12p70,IL-17A,IL-17F,IL-22,TNF-α,TNF-β,IFN-γ level.ICU admission,mechanical ventilation and in-hospital death were defined as poor prognosis.After excluding patients with bacterial infection,the relationship between serum PCT and cytokine levels at admission and the prognosis of COVID-19 patients was analyzed.After excluding patients with bacterial infection,the relationship between serum PCT and cytokine levels at admission and the prognosis of COVID-19 patients was analyzed.Results A total of 176 patients with complete data were included,including 134 in the PCT-normal group and 42 in the PCT-elevated group,with a median age of 71.50 years and 71.59%males.Patients in the PCT elevated-group had significantly higher rates of ICU admission(38.41%vs.13.11%,P<0.05),mechanical ventilation(76.92%vs.24.59%,P<0.001)and in-hospital mortality(38.46%vs.6.56%,P<0.001)were significantly higher than those in the PCT-normal group.Serum levels of cytokines IL-6(7.40 pg/mL vs.4.78 pg/mL,P = 0.033 4)and IL-8(10.97 pg/mL vs.5.92 pg/mL,P<0.001)were significantly higher in patients with poor prognosis than in those with good prognosis.The area under the curve for PCT,IL-6,and IL-8 to predict poor prognosis in COVID-19 patients was 0.687,0.660,and 0.746,respectively;sensitivity was 52.78%,55.17%,and 72.41%,respectively;and specificity was 81.58%,74.19%,and 74.19%,respectively,as calculated from the ROC curve.When PCT,IL-6 and IL-8 jointly predict the prognosis of COVID-19 patients,the area under the curve is 0.764,the sensitivity is 70.00%,and the specificity is 80.00%.Conclusion Serum PCT and cytokines IL-6 and IL-8 could be used as predictive markers for poor prognosis in patients with COVID-19.