Objective:To verify the efficacy of VELscope autofluorescence examination technology in the early warning of potential oral malignant diseases.Methods:80 patients with suspected dysplasia were included and underwent oral examination,visually en-hanced lesion scope(VELscope)autofluorescence examination and histopathology examination respectively,the fluorescence imaging results were compared with the histopathological results.Results:Pathological reports showed 64 cases with mild or no dysplasia,9 cases with moderate or severe dysplasia,1 case with moderate dysplasia without malignant transformation and 6 cases with cancer.The results of VELscope showed that there were 73 positive cases and negative 7 cases of fluorescence deletion.The sensitivity and specificity of VELscope were 93.75％and 9.37％respectively,and the sensitivity could reach 100％in the cancerous tissue.Con-clusion:As a non-invasive examination method,VELscope is highly sensitive but lowly specific.

ObjectiveAutism spectrum disorder (ASD) is a neurodevelopmental condition characterized by difficulties with communication and social interaction, restricted and repetitive behaviors. Previous studies have indicated that individuals with ASD exhibit early and lifelong attention deficits, which are closely related to the core symptoms of ASD. Basic visual attention processes may provide a critical foundation for their social communication and interaction abilities. Therefore, this study explores the behavior of children with ASD in capturing attention to changes in topological properties. MethodsOur study recruited twenty-seven ASD children diagnosed by professional clinicians according to DSM-5 and twenty-eight typically developing (TD) age-matched controls. In an attention capture task, we recorded the saccadic behaviors of children with ASD and TD in response to topological change (TC) and non-topological change (nTC) stimuli. Saccadic reaction time (SRT), visual search time (VS), and first fixation dwell time (FFDT) were used as indicators of attentional bias. Pearson correlation tests between the clinical assessment scales and attentional bias were conducted. ResultsThis study found that TD children had significantly faster SRT (P<0.05) and VS (P<0.05) for the TC stimuli compared to the nTC stimuli, while the children with ASD did not exhibit significant differences in either measure (P>0.05). Additionally, ASD children demonstrated significantly less attention towards the TC targets (measured by FFDT), in comparison to TD children (P<0.05). Furthermore, ASD children exhibited a significant negative linear correlation between their attentional bias (measured by VS) and their scores on the compulsive subscale (P<0.05). ConclusionThe results suggest that children with ASD have difficulty shifting their attention to objects with topological changes during change detection. This atypical attention may affect the child’s cognitive and behavioral development, thereby impacting their social communication and interaction. In sum, our findings indicate that difficulties in attentional capture by TC may be a key feature of ASD.

In recent years, the rapid development of artificial intelligence (AI) has revolutionized the whole-course nutritional management of elderly patients. AI technologies, including machine learning and natural language processing, are capable of efficiently processing vast amounts of multidimensional information such as clinical data, laboratory test results, and imaging findings. For instance, machine learning algorithms can efficiently identify complex nutritional metabolism patterns and accurately predict malnutrition and its trends in elderly patients. Following the standard pathway of "screening, assessment, diagnosis, treatment, and monitoring", AI technology empowers the whole-course nutritional management for elderly patients, forming a refined, data-driven management model, and shows great potential in improving the nutritional status of elderly patients, enhancing treatment outcomes, and promoting elderly health.

Objective:To investigate the relationship between dynamic alterations in serum albumin (ALB) concentrations and clinical outcomes in hospitalized surgical patients, thus providing a basis for optimizing clinical management strategies.Methods:This study utilized data from a prospective observational cohort study on nutritional status among 7 122 elderly hospitalized patients across 34 tertiary hospitals in 18 Chinese cities. A total of 1 714 surgical patients hospitalized for 7-30 days with complete data were included. Standardized protocols were used to collect demographic data, clinical outcomes, and a range of laboratory results, including nutritional and hematological parameters. Heterogeneous effects of ALB on clinical outcomes were explored. Receiver operating characteristic (ROC) curves were used to determine cutoff values for infection-related complications. Correlation analyses and multiple linear regression models were used to identify independent predictors of the absolute change in ALB (?ALB).Results:Among the surgical patients, 69.7% (1 195/1 714) experienced a decline in ALB levels during their hospital stay, which was significantly associated with the occurrence of both infection- and non-infection-related complications. Simultaneously, a marked decrease in ALB was also significantly correlated with changes in nutritional and inflammatory status during hospitalization, worsening of gastrointestinal symptoms at discharge, and functional activity abnormalities (all P<0.05). ?ALB exhibited a close association with outcome variables such as infection-related complications. Based on the incidence of infection-related complications, a cutoff value for ALB was calculated, dividing patients into a high-risk group ( n=179) and a low-risk group ( n=1 535), and a statistically significant difference in the incidence of infection-related complications was found between these two groups ( P<0.05). Correlation analysis and multiple linear regression modeling revealed that female gender, a higher baseline ALB level, a poorer baseline inflammatory status, an exacerbation of inflammatory status, larger alterations in platelet-to-lymphocyte ratio, and the presence of infection-related complications were predictive factors for a decline in ALB levels among surgical patients during their hospital stay. Conclusions:?ALB serves as a critical indicator of the inflammatory-nutritional interplay, with its magnitude of decline effectively predicting clinical outcomes and nutritional status changes and guiding multidisciplinary interventions in surgical patients.

The high prevalence of frailty in older adults and its close link to adverse outcomes make it a critical public health challenge in the aging global population. Frailty, characterized by multisystem functional decline, significantly increases the risk of falls, disability, and even death, yet its underlying mechanisms remain poorly understood. While the role of gut microbiota as the "second genome" in disease regulation has been widely recognized, its specific mechanisms in the development of frailty syndrome remain to be systematically investigated. This review synthesizes findings from the last decade of international literature to analyze the mechanisms by which gut microbiota dysbiosis contributes to frailty syndrome. We focus on pathways including metabolic disorders, chronic inflammation, oxidative stress, and the oral-gut microbiota axis, aiming to provide insights for clinical diagnosis and treatment.

Objective To examine the expression pattern of apoptosis signal-regulating kinase 1(ASK1)in the intestinal tissues of patients with Crohn's disease(CD),and analyze its mechanistic impact on intestinal epithelial barrier function and inflammatory responses.Methods Ileal tissue samples from Crohn's disease patients and healthy controls were collected.ASK1 protein level was assessed by immunohistochemistry,and its relationship with the Crohn's disease activity index(CDAI)was analyzed.A mouse model of acute colitis was constructed using TNBS,and subjected to qRT-PCR,Western blotting and immunohistochemistry for ASK1 expression,and the association between ASK1 expression and the disease activity index was examined.Lentivirus transfection was employed to create stable Caco-2 cell lines with altered ASK1 expression,and the intestinal barrier integrity and inflammation were assessed by measuring transepithelial electrical resistance(TEER),FITC-dextran leakage,and IL-6,IL-1β levels.Furthermore,the effects of ASK1 expression on Krüppel-like factor 4(KLF4)levels was examined using qRT-PCR and Western blotting.Results ASK1 was highly expressed in the ileum of CD patients and positively correlated with CDAI.In a TNBS-induced mouse model of acute colitis,ASK1 expression was up-regulated and positively correlated with DAI.Inflammation-induced ASK1 overexpression weakened the Caco-2 cell intestinal barrier,whereas ASK1 knockdown strengthened it.Moreover,ASK1 had the capability to enhance the expression of inflammatory factors.Additionally,ASK1 knockdown increased KLF4 expression,while overexpression decreased it,indicating a negative correlation between ASK1 and KLF4.Conclusion ASK1 expression is notably higher in CD and positively correlates with disease activity.ASK1 can influence intestinal barrier integrity and inflammatory factor expression,possibly through its impact on KLF4 expression.

In recent years, the rapid development of artificial intelligence (AI) has revolutionized the whole-course nutritional management of elderly patients. AI technologies, including machine learning and natural language processing, are capable of efficiently processing vast amounts of multidimensional information such as clinical data, laboratory test results, and imaging findings. For instance, machine learning algorithms can efficiently identify complex nutritional metabolism patterns and accurately predict malnutrition and its trends in elderly patients. Following the standard pathway of "screening, assessment, diagnosis, treatment, and monitoring", AI technology empowers the whole-course nutritional management for elderly patients, forming a refined, data-driven management model, and shows great potential in improving the nutritional status of elderly patients, enhancing treatment outcomes, and promoting elderly health.

Objective:To investigate the relationship between dynamic alterations in serum albumin (ALB) concentrations and clinical outcomes in hospitalized surgical patients, thus providing a basis for optimizing clinical management strategies.Methods:This study utilized data from a prospective observational cohort study on nutritional status among 7 122 elderly hospitalized patients across 34 tertiary hospitals in 18 Chinese cities. A total of 1 714 surgical patients hospitalized for 7-30 days with complete data were included. Standardized protocols were used to collect demographic data, clinical outcomes, and a range of laboratory results, including nutritional and hematological parameters. Heterogeneous effects of ALB on clinical outcomes were explored. Receiver operating characteristic (ROC) curves were used to determine cutoff values for infection-related complications. Correlation analyses and multiple linear regression models were used to identify independent predictors of the absolute change in ALB (?ALB).Results:Among the surgical patients, 69.7% (1 195/1 714) experienced a decline in ALB levels during their hospital stay, which was significantly associated with the occurrence of both infection- and non-infection-related complications. Simultaneously, a marked decrease in ALB was also significantly correlated with changes in nutritional and inflammatory status during hospitalization, worsening of gastrointestinal symptoms at discharge, and functional activity abnormalities (all P<0.05). ?ALB exhibited a close association with outcome variables such as infection-related complications. Based on the incidence of infection-related complications, a cutoff value for ALB was calculated, dividing patients into a high-risk group ( n=179) and a low-risk group ( n=1 535), and a statistically significant difference in the incidence of infection-related complications was found between these two groups ( P<0.05). Correlation analysis and multiple linear regression modeling revealed that female gender, a higher baseline ALB level, a poorer baseline inflammatory status, an exacerbation of inflammatory status, larger alterations in platelet-to-lymphocyte ratio, and the presence of infection-related complications were predictive factors for a decline in ALB levels among surgical patients during their hospital stay. Conclusions:?ALB serves as a critical indicator of the inflammatory-nutritional interplay, with its magnitude of decline effectively predicting clinical outcomes and nutritional status changes and guiding multidisciplinary interventions in surgical patients.

The high prevalence of frailty in older adults and its close link to adverse outcomes make it a critical public health challenge in the aging global population. Frailty, characterized by multisystem functional decline, significantly increases the risk of falls, disability, and even death, yet its underlying mechanisms remain poorly understood. While the role of gut microbiota as the "second genome" in disease regulation has been widely recognized, its specific mechanisms in the development of frailty syndrome remain to be systematically investigated. This review synthesizes findings from the last decade of international literature to analyze the mechanisms by which gut microbiota dysbiosis contributes to frailty syndrome. We focus on pathways including metabolic disorders, chronic inflammation, oxidative stress, and the oral-gut microbiota axis, aiming to provide insights for clinical diagnosis and treatment.

Objective To examine the expression pattern of apoptosis signal-regulating kinase 1(ASK1)in the intestinal tissues of patients with Crohn's disease(CD),and analyze its mechanistic impact on intestinal epithelial barrier function and inflammatory responses.Methods Ileal tissue samples from Crohn's disease patients and healthy controls were collected.ASK1 protein level was assessed by immunohistochemistry,and its relationship with the Crohn's disease activity index(CDAI)was analyzed.A mouse model of acute colitis was constructed using TNBS,and subjected to qRT-PCR,Western blotting and immunohistochemistry for ASK1 expression,and the association between ASK1 expression and the disease activity index was examined.Lentivirus transfection was employed to create stable Caco-2 cell lines with altered ASK1 expression,and the intestinal barrier integrity and inflammation were assessed by measuring transepithelial electrical resistance(TEER),FITC-dextran leakage,and IL-6,IL-1β levels.Furthermore,the effects of ASK1 expression on Krüppel-like factor 4(KLF4)levels was examined using qRT-PCR and Western blotting.Results ASK1 was highly expressed in the ileum of CD patients and positively correlated with CDAI.In a TNBS-induced mouse model of acute colitis,ASK1 expression was up-regulated and positively correlated with DAI.Inflammation-induced ASK1 overexpression weakened the Caco-2 cell intestinal barrier,whereas ASK1 knockdown strengthened it.Moreover,ASK1 had the capability to enhance the expression of inflammatory factors.Additionally,ASK1 knockdown increased KLF4 expression,while overexpression decreased it,indicating a negative correlation between ASK1 and KLF4.Conclusion ASK1 expression is notably higher in CD and positively correlates with disease activity.ASK1 can influence intestinal barrier integrity and inflammatory factor expression,possibly through its impact on KLF4 expression.