This article systematically reviews the current research status as well as diagnosis and treatment strategies of traditional Chinese medicine （TCM） for gastroesophageal reflux disease （GERD）. Studies demonstrate that TCM， based on the "disease-syndrome combination" approach， exhibits multi-target advantages in alleviating symptoms of various GERD subtypes， promoting mucosal repair， regulating emotions， and facilitating the reduction of western medication. To address clinical challenges such as symptom overlap and limited therapeutic efficacy， strategies have been proposed including "treating different diseases with the same method" and integrated regulation based on viscera correlation. Future efforts should focus on elucidating the mechanisms of compound prescriptions， promoting TCM drug development under the "three-combination" evaluation framework that integrates TCM theory， human experience and clinical trial evidence， and optimizing integrated traditional and western medicine models to enhance GERD management.

In recent years, the roles of mitochondrial RNA and its associated human diseases have been reported to increase significantly. Treatments based on mtRNA metabolic processes and nuclear gene mutations are thus discussed. The mitochondrial oxidative phosphorylation process is affected by mtRNA metabolism, including mtRNA production, maturation, stabilization, and degradation, which leads to a variety of inherited human mitochondrial diseases. Moreover, mitochondrial diseases are caused by mitochondrial messenger RNA, mitochondrial transfer RNA, and mitochondrial ribosomal RNA gene mutations. This review presents the molecular mechanisms of human mtRNA metabolism and pathological mutations in mtRNA metabolism-related nuclear-encoded/nonencoded genes and mitochondrial DNA mutations to highlight the importance of mitochondrial RNA-related diseases and treatments.
Humans ; Mitochondrial Diseases/therapy* ; RNA, Mitochondrial ; RNA/genetics* ; Mitochondria/genetics* ; Mutation/genetics* ; RNA, Transfer/genetics* ; DNA, Mitochondrial/genetics*

Objective:To understand the trends of the disease burden of Alzheimer's disease(AD)attributable to high body mass index(BMI)and high fasting plasma glucose(FPG)in the past 30 years and future trends in China, and to provide suggestions for the prevention and treatment of AD.Methods:Based on the Global Burden of Disease Research Database(GBD), data on AD deaths and disability adjusted life years(DALYs)attributable to high BMI and high FPG were collected from 1990 to 2021 in Chinese and global populations.The Joinpoint log-linear regression model was used to explore and compare the changing trends of AD burden in China and globally from 1990 to 2021, and a Bayesian age-period-cohort model was constructed for predictive analysis.Results:In 2021, the age-standardized mortality and DALYs rates of AD attributed to high BMI in the Chinese population were 1.256/100, 000 and 24.751/100, 000, respectively, and those attributed to high FPG were 3.636/100, 000 and 66.721/100, 000, respectively.The age-standardized rates of mortality and DALYs of females were both higher than those of males.From 1990 to 2021, the age-standardized rates of mortality and DALYs of AD attributed to high BMI increased slowly at first and then rapidly in China, the corresponding average annual percent change(AAPC)and 95% confidence interval(95% CI)were 9.87%(9.63%-10.12%), and 9.81%(9.54%-10.09%), respectively( P<0.001). The age-standardized rates of mortality and DALYs of AD caused by high FPG showed a fluctuating upward trend, with AAPC of 0.29%(95% CI: 0.17%-0.41%)and 0.53%(95% CI: 0.45%-0.61%), respectively( P<0.001). It is predicted that by 2030, the age-standardized rates of mortality and DALYs of AD attributed to high BMI and high FPG in the whole population of China will increase to 4.87/100 000 and 97.20/100 000, both lower than the global level(5.45/100 000 and 100.24/100 000). In addition to a slight decline in the age-standardized mortality rate in Chinese men, the age-standardized rates of mortality and DALYs attributed to high BMI and high FPG in Chinese women and the global population will both show an upward trend. Conclusions:The burden of AD attributed to high BMI and high FPG is relatively severe, with gender differences, and is expected to increase slightly by 2030.It is recommended that early identification of key high-risk populations of AD should be strengthened, especially for the elderly and female groups.Interventions targeting modifiable risk factors should be carried out, and effective measures should be adopted to reduce the burden of AD.

Objective:To investigate the value of coronary CTA (CCTA)-based traditional features and radiomics of plaque in the identification of culprit lesions that caused acute myocardial infarction (AMI).Methods:This was a retrospective multicenter study. From July 2016 to November 2023, a total of 344 patients from the Affiliated Hospital of Qingdao University (training cohort, n=184), Shandong Provincial Hospital Affiliated to Shandong First Medical University (validation cohort, n=88) and Qilu Hospital of Shandong University (test cohort, n=72) who received percutaneous coronary intervention (PCI) due to AMI and underwent CCTA within 48 hours of AMI were enrolled. The culprit plaques and non-culprit plaques were identified using a combination of electrocardiogram, CCTA, and angiographic findings. The vessel, plaque location, plaque type, Coronary Artery Disease-Reporting and Data System (CAD-RADS) score, high-risk plaque characteristics, plaque length, plaque volume, and burden were analyzed, and 1 904 radiomics features were extracted for each plaque. The traditional imaging model, the radiomics model, and the combined model were established by using multivariate Logistic regression analysis. The area under the receiver operating characteristic curve (AUC) was used to evaluate the performance of each model in identifying culprit lesions. The DeLong test was used for the comparison of AUC between every two models. The net reclassification index (NRI) was used to evaluate the incremental value of the combined model to the traditional imaging model and the radiomics model. The decision curve analysis (DCA) was used to assess the clinical net benefit of these models. A correlation heatmap was used to evaluate the correlation between the radiomics score and traditional CCTA factors. The interpretable analysis of the decision process of the combined model was performed by the Shapley Additive exPlanations (SHAP). Results:In the validation cohort and the test cohort, the AUC of the traditional imaging model developed by the vessel, plaque type, positive remodeling and CAD-RADS score was 0.898 (95% CI 0.869-0.922) and 0.881 (95% CI 0.848-0.910), respectively. The radiomics model developed by six radiomics features was 0.863 (95% CI 0.831-0.891) and 0.863 (95% CI 0.827-0.864), respectively. The AUC of the combined model was 0.930 (95% CI 0.905-0.950)and 0.919 (95% CI 0.889-0.942), respectively. In the validation cohort and the test cohort, the AUC of the combined model was higher than that of the traditional imaging model ( Z=4.013, 4.272, P<0.001) and that of the radiomics model ( Z=4.819, 3.784, P<0.001), respectively. In the validation cohort, the combined model yielded an NRI of 20.43% (95% CI 10.43%-30.44%, P<0.001) and 20.21% (95% CI 9.62%-30.80%, P<0.001) for identifying culprit lesions compared with the traditional imaging model and the radiomics model, respectively. In the test cohort, the combined model yielded an NRI of 28.05% (95% CI 16.72%-39.38%, P<0.001) and 23.57% (95% CI 13.58%-33.56%, P<0.001) for identifying culprit lesions compared with the traditional imaging model and the radiomics model, respectively. DCA showed the combined model had the highest clinical net benefit. The correlation heatmap showed the radiomics score was not correlated or only weakly correlated with traditional CCTA factors. SHAP indicated the radiomics and CAD-RADS score contributed significantly to the model. Conclusion:The CCTA-based traditional features and radiomics of plaque have favorable performance for the identification of culprit plaques in patients with AMI.

Meat food is an important part of people's dietary supplements,but in recent years,meat adulteration cases are hidden and frequent,which seriously affects people's health and destroys the fairness of the market.Based on this,this paper analyses the development trend of meat adulteration and the current meat adulteration detection technology is summarized,combed in detail the use of the most widely used real-time fluorescence quantitative PCR technology application of the status quo and challenges to help real-time fluorescence quantitative PCR technology testing in meat adulteration evidence testing to the direction of more high detection efficiency and higher accuracy development.

Objective:To explore the evaluation method for key performance indicators of autonomous ultrasound scanning robots,so as to establish a testing scheme and conduct experiments.Methods:Based on the working principle of autonomous ultrasound scanning robots,three key performance indicators,which included scanning speed,scanning contact force,and accuracy of online adjustment,were established.The speed of the robotic arm,which execute autonomous scanning,was tested through laser rangefinders and a design of process equipment for displacement.The contact force of autonomous scanning was monitored and evaluated using a combination of ultrasound phantom and sensor with six-dimensional force.The displacement differences of phantom and robotic arm were monitored to evaluate the accuracy of online adjustment through designed a synchronization detection device for the displacements of phantom and robotic arm.Results:This research designed and provided test method and test device,which realized successful measurements for the speed,contact force,and accuracy of online adjustment in autonomous scanning of the ultrasonic scanning robot.Conclusion:The speed,contact force,and accuracy of online adjustment in scanning can be used as evaluation indicators of systematic performance of autonomous ultrasound scanning robots.The feasibility of these indicators is demonstrated through designed evaluation methods and corresponding experiments.

Objective:To explore the evaluation method for key performance indicators of autonomous ultrasound scanning robots,so as to establish a testing scheme and conduct experiments.Methods:Based on the working principle of autonomous ultrasound scanning robots,three key performance indicators,which included scanning speed,scanning contact force,and accuracy of online adjustment,were established.The speed of the robotic arm,which execute autonomous scanning,was tested through laser rangefinders and a design of process equipment for displacement.The contact force of autonomous scanning was monitored and evaluated using a combination of ultrasound phantom and sensor with six-dimensional force.The displacement differences of phantom and robotic arm were monitored to evaluate the accuracy of online adjustment through designed a synchronization detection device for the displacements of phantom and robotic arm.Results:This research designed and provided test method and test device,which realized successful measurements for the speed,contact force,and accuracy of online adjustment in autonomous scanning of the ultrasonic scanning robot.Conclusion:The speed,contact force,and accuracy of online adjustment in scanning can be used as evaluation indicators of systematic performance of autonomous ultrasound scanning robots.The feasibility of these indicators is demonstrated through designed evaluation methods and corresponding experiments.

Objective:To investigate the value of coronary CTA (CCTA)-based traditional features and radiomics of plaque in the identification of culprit lesions that caused acute myocardial infarction (AMI).Methods:This was a retrospective multicenter study. From July 2016 to November 2023, a total of 344 patients from the Affiliated Hospital of Qingdao University (training cohort, n=184), Shandong Provincial Hospital Affiliated to Shandong First Medical University (validation cohort, n=88) and Qilu Hospital of Shandong University (test cohort, n=72) who received percutaneous coronary intervention (PCI) due to AMI and underwent CCTA within 48 hours of AMI were enrolled. The culprit plaques and non-culprit plaques were identified using a combination of electrocardiogram, CCTA, and angiographic findings. The vessel, plaque location, plaque type, Coronary Artery Disease-Reporting and Data System (CAD-RADS) score, high-risk plaque characteristics, plaque length, plaque volume, and burden were analyzed, and 1 904 radiomics features were extracted for each plaque. The traditional imaging model, the radiomics model, and the combined model were established by using multivariate Logistic regression analysis. The area under the receiver operating characteristic curve (AUC) was used to evaluate the performance of each model in identifying culprit lesions. The DeLong test was used for the comparison of AUC between every two models. The net reclassification index (NRI) was used to evaluate the incremental value of the combined model to the traditional imaging model and the radiomics model. The decision curve analysis (DCA) was used to assess the clinical net benefit of these models. A correlation heatmap was used to evaluate the correlation between the radiomics score and traditional CCTA factors. The interpretable analysis of the decision process of the combined model was performed by the Shapley Additive exPlanations (SHAP). Results:In the validation cohort and the test cohort, the AUC of the traditional imaging model developed by the vessel, plaque type, positive remodeling and CAD-RADS score was 0.898 (95% CI 0.869-0.922) and 0.881 (95% CI 0.848-0.910), respectively. The radiomics model developed by six radiomics features was 0.863 (95% CI 0.831-0.891) and 0.863 (95% CI 0.827-0.864), respectively. The AUC of the combined model was 0.930 (95% CI 0.905-0.950)and 0.919 (95% CI 0.889-0.942), respectively. In the validation cohort and the test cohort, the AUC of the combined model was higher than that of the traditional imaging model ( Z=4.013, 4.272, P<0.001) and that of the radiomics model ( Z=4.819, 3.784, P<0.001), respectively. In the validation cohort, the combined model yielded an NRI of 20.43% (95% CI 10.43%-30.44%, P<0.001) and 20.21% (95% CI 9.62%-30.80%, P<0.001) for identifying culprit lesions compared with the traditional imaging model and the radiomics model, respectively. In the test cohort, the combined model yielded an NRI of 28.05% (95% CI 16.72%-39.38%, P<0.001) and 23.57% (95% CI 13.58%-33.56%, P<0.001) for identifying culprit lesions compared with the traditional imaging model and the radiomics model, respectively. DCA showed the combined model had the highest clinical net benefit. The correlation heatmap showed the radiomics score was not correlated or only weakly correlated with traditional CCTA factors. SHAP indicated the radiomics and CAD-RADS score contributed significantly to the model. Conclusion:The CCTA-based traditional features and radiomics of plaque have favorable performance for the identification of culprit plaques in patients with AMI.

Meat food is an important part of people's dietary supplements,but in recent years,meat adulteration cases are hidden and frequent,which seriously affects people's health and destroys the fairness of the market.Based on this,this paper analyses the development trend of meat adulteration and the current meat adulteration detection technology is summarized,combed in detail the use of the most widely used real-time fluorescence quantitative PCR technology application of the status quo and challenges to help real-time fluorescence quantitative PCR technology testing in meat adulteration evidence testing to the direction of more high detection efficiency and higher accuracy development.

Objective:To understand the trends of the disease burden of Alzheimer's disease(AD)attributable to high body mass index(BMI)and high fasting plasma glucose(FPG)in the past 30 years and future trends in China, and to provide suggestions for the prevention and treatment of AD.Methods:Based on the Global Burden of Disease Research Database(GBD), data on AD deaths and disability adjusted life years(DALYs)attributable to high BMI and high FPG were collected from 1990 to 2021 in Chinese and global populations.The Joinpoint log-linear regression model was used to explore and compare the changing trends of AD burden in China and globally from 1990 to 2021, and a Bayesian age-period-cohort model was constructed for predictive analysis.Results:In 2021, the age-standardized mortality and DALYs rates of AD attributed to high BMI in the Chinese population were 1.256/100, 000 and 24.751/100, 000, respectively, and those attributed to high FPG were 3.636/100, 000 and 66.721/100, 000, respectively.The age-standardized rates of mortality and DALYs of females were both higher than those of males.From 1990 to 2021, the age-standardized rates of mortality and DALYs of AD attributed to high BMI increased slowly at first and then rapidly in China, the corresponding average annual percent change(AAPC)and 95% confidence interval(95% CI)were 9.87%(9.63%-10.12%), and 9.81%(9.54%-10.09%), respectively( P<0.001). The age-standardized rates of mortality and DALYs of AD caused by high FPG showed a fluctuating upward trend, with AAPC of 0.29%(95% CI: 0.17%-0.41%)and 0.53%(95% CI: 0.45%-0.61%), respectively( P<0.001). It is predicted that by 2030, the age-standardized rates of mortality and DALYs of AD attributed to high BMI and high FPG in the whole population of China will increase to 4.87/100 000 and 97.20/100 000, both lower than the global level(5.45/100 000 and 100.24/100 000). In addition to a slight decline in the age-standardized mortality rate in Chinese men, the age-standardized rates of mortality and DALYs attributed to high BMI and high FPG in Chinese women and the global population will both show an upward trend. Conclusions:The burden of AD attributed to high BMI and high FPG is relatively severe, with gender differences, and is expected to increase slightly by 2030.It is recommended that early identification of key high-risk populations of AD should be strengthened, especially for the elderly and female groups.Interventions targeting modifiable risk factors should be carried out, and effective measures should be adopted to reduce the burden of AD.