ObjectiveTo compare the differences in color， odor， coumarin content and microbial community composition of Angelicae Dahuricae Radix（ADR） during different drying processes， and to explore the correlation between changes in microbial community composition and changes in quality indexes of ADR. MethodsThe fresh ADR was processed at three drying temperatures（50， 70， 100 ℃） by drying and steaming cutting， semi-fresh cutting and drying， fresh cutting and drying， and sulfur fumigation methods. The color values of samples were extracted by Adobe Photoshop 2022 software and subjected to principal component analysis（PCA）， electronic nose was used to identify the odor information of medicinal powders and subjected to loadings analysis， PCA， and linear discriminant analysis（LDA）， and high performance liquid chromatography（HPLC） was used to determine the contents of five coumarins（bergapten， oxypeucedanin， imperatorin， phellopterin， isoimperatorin）. The samples for microbial detection were taken from fresh dried samples， 50 ℃（dried and steamed cut， sulfur fumigated） samples， and 100 ℃（dried and steamed cut） samples when the water content was 50% and 14%， respectively. And the changes of microbial community composition during processing were determined by high-throughput sequencing method. The relationship between the changes of microbial community composition and the changes of odor， color and active component content of ADR during drying process was analyzed by Pearson correlation analysis. ResultsThe color quantification results showed that an increase in drying temperature led to the decrease of brightness value（L）， and the increases of red-green value（a） and yellow-blue value（b）， and the change of processing method had no obvious effect on the color of medicinal materials. The results of odor quantification showed that W1S， W2S， W5S， W2W and W1W sensor were sensitive to the odor changes of ADR and could be used to distinguish ADR decoction pieces from different processing methods. The results of HPLC showed that the coumarin content of ADR decreased with the increase of drying temperature and the delay of processing time， the optimal processing method was drying and steaming cutting method， and the optimal temperature was 50 ℃. High-throughput sequencing results showed that the dominant bacteria in ADR during processing were Achromobacter， Agrobacterium， Nocardioides， Mycobacterium and Enterobacter， the dominant fungi were Coprinopsis， Meyerozyma and Apiotrichum. The results of correlation analysis showed that the quality indexes of ADR were positively correlated with Agrobacterium， Mycobacterium in bacteria， Candida in fungi， and negatively correlated with Bacillus in bacteria. ConclusionThere are significant differences in the color， odor， coumarin content and microbial community composition of ADR in different drying processes， and the best drying method is drying and steaming cutting at 50 ℃. The relative abundance changes of 9 bacterial genera and 4 fungal genera are closely related to the quality formation of ADR during the drying process.

Objective: To investigate the knowledge, attitudes, practices (KAP) and the situation of home blood pressure monitoring (HBPM) among hypertension patients in rural areas of Shanghai Municipality, so as to provide a basis for enhancing blood pressure management in this population. Methods: From June to October 2021, hypertension patients under management in Luodian Town and Luojing Town of rural areas of Shanghai Municipality were selected as survey subjects using a multistage random sampling method. Demographic information, KAP related to hypertension, and HBPM status were collected through questionnaire surveys. Patients were categorized into short disease duration (≤5 years), medium disease duration (6-10 years), and long disease duration (≥11 years) groups. KAP and HBPM status across different disease duration groups were analyzed statistically. Results: A total of 2 894 hypertensive patients were surveyed, including 1 317 (45.51%) males and 1 577 (54.49%) females. The median age was 69.00 (interquartile range, 10.00) years. There were 610 cases with short disease duration, accounting for 21.08%; 629 cases with medium duration, accounting for 21.73%; and 1 655 cases with long duration, accounting for 57.19%. The awareness of "hypertension control measures" was relatively high (97.89%), while awareness of "hypertension complications" was relatively low (71.70%). The adherence rate of "not perceiving difficulty in remembering to take medication on time and in correct doses" was relatively low (78.89%), and the proportion of participants who "walked ≥10 minutes per session at least once in the past 7 days" was relatively high (80.48%). A total of 1 209 cases (41.78%) engaged in HBPM, including 233 cases with short disease duration (19.27%), 252 cases with medium disease duration (20.84%), and 724 cases with long disease duration (59.88%). Compared with long disease duration hypertension patients, those with short disease duration had a alower awareness of "principles of pharmacological treatment for hypertension", a lower adherence rate of "medication should not be stopped after blood pressure control", and a lower proportion of providing their blood pressure measurement results to doctors (all P<0.017). However, they had higher proportions of alcohol consumption and daily salt intake >6 g/d (both P<0.017). Conclusions Short disease duration hypertension patients exhibit poorer performance in hypertension-related KAP and HBPM compared to long disease duration patients in rural areas of Shanghai Municipality. It is recommended to implement tailored health education based on disease duration, promote HBPM, and enhance blood pressure control rate.

Objective To evaluate the relationship between diabetic nephropathy(DN)and diabetic retinopathy(DR)in patients with type 2 diabetes mellitus(T2DM)based on imaging and clinical testing data.Methods Totally 600 T2DM patients who visited the First People's Hospital of Ziyang from March 2021 to December 2022 were included.The fundus photography and fundus fluorescein angiography were performed on all these patients and their age,gender,T2DM duration,cardiovascular diseases,cerebrovascular disease,hypertension,smoking history,drinking history,body mass in-dex,systolic blood pressure,diastolic blood pressure and other clinical data were collected.The levels of fasting blood glu-cose(FPG),triglyceride(TG),total cholesterol(TC),high-density lipoprotein cholesterol(HDL-C),low-density lipo-protein cholesterol(LDL-C),glycosylated hemoglobin(HbA1c),24 h urinary albumin(UAlb),urinary albumin to creati-nine ratio(ACR),serum creatinine(Scr)and blood urea nitrogen(BUN)were measured.Logistic regression was used to analyze the risk factors associated with DR.DR staging was performed according to fundus images,and the convolutional neural network(CNN)algorithm was used as an image analysis method to explore the correlation between DR and DN based on emission computed tomography(ECT)and clinical testing data.Results The average lesion area rates of DR and DN detected by the CNN in the non-DR,mild-non-proliferative DR(NPDR),moderate-NPDR,severe-NPDR and pro-liferative DR(PDR)groups were higher than those obtained by the traditional algorithm(TCM).As DR worsened,the Scr,BUN,24 h UAlb and ACR gradually increased.Besides,the incidence of DN in the non-DR,mild-NPDR,moderate-NPDR,severe-NPDR and PDR groups was 1.67％,8.83％,16.16％,22.16％and 30.83％,respectively.Logistic regression analysis showed that the duration of T2DM,smoking history,HbA1c,TC,TG,HDL-C,LDL-C,24 h UAlb,Scr,BUN,ACR and glomerular filtration rate(GFR)were independent risk factors for DR.Renal dynamic ECT analysis demonstrated that with the aggravation of DR,renal blood flow perfusion gradually decreased,resulting in diminished renal filtration.Conclusion The application of CCN in the early stage DR and DN image analysis of T2DM patients will improve the diag-nosis accuracy of DR and DN lesion area.The DN is worsening as the aggravation of DR.

As an emerging discipline that combines traditional diagnostic methods with modern scientific technology,micro syndrome differentiation has good prospects for development,but there are some controversies in the research process.Based on ancient and modern literature,this article reviewed the origin and flow of research on micro syndrome differentiation,and summarized the problems to be improved in the process of research on micro syndrome differentiation from three aspects:application of disease type,guiding ideology and micro indicators.Based on this,the article further expounded the new thinking on"near-micro"syndrome differentiation from three aspects:connotation,scope of application,and links to traditional identification and micro-identification,and pointed out that the modern medical detection basis should be incorporated into the field of TCM syndrome differentiation,and at the same time,it should be based on the overall thinking mode of TCM,which would provide a new idea for the development of modern TCM diagnosis technology.

ObjectiveBased on cyclic adenosine monophosphate （cAMP）/cAMP-regulated guanine nucleotide exchange factor 1 （Epac1）/Ras-homologous protein 1 （Rap1） signaling pathway to explore the myocardial protective mechanism of Yiqi Huoxue prescription on coronary heart disease （CHD） rats with Qi deficiency and blood stasis syndrome. MethodEighty-eight specific-pathogen-free （SPF） grade male Sprague-Dawley （SD） rats were divided into a sham operation group （n=12） and an experimental group （n=76） according to the random number table. The experimental group underwent a restricted diet and exhaustive swimming combined with left anterior descending （LAD） coronary artery ligation to construct a model of CHD with Qi deficiency and blood stasis syndrome， and electrocardiograms （ECGs） of rats before and after the LAD operation were collected. After the model was successfully established， the rats were randomly divided into model group， Yiqi Huoxue prescription low-dose group （4.28 g·kg^-1）， medium-dose group （8.55 g·kg^-1）， high-dose group （17.1 g·kg^-1）， and Western medicine group （isosorbide mononitrate tablets， 3.6 mg·kg^-1）. Rats were intragastrically administered assigned drugs for 4 weeks consecutively， while the sham operation group and the model group were administered with equal volumes of double distilled water. Twenty-four hours after the final administration， the rats were anesthetized with isoflurane to detect the left ventricular end-diastolic diameter （LVEDD）， left ventricular end-systolic diameter （LVESD）， left ventricular fractional shortening （FS， %）， and ejection fraction （EF， %） by echocardiography. Blood samples were collected from the abdominal aorta for hemorheological measurements， and plasma cAMP levels were determined using enzyme-linked immunosorbent assay （ELISA）. Myocardial tissue was collected for hematoxylin-eosin （HE） staining and Masson staining to observe myocardial pathological damage， and a transmission electron microscope was used to observe ultrastructural changes of myocardial tissue， fluorescent quantitative real-time polymerase chain reaction （Real-time PCR） was used to detect the expressions of myocardial Epac1， Rap1 GTPase activating protein （Rap1GAP） and Rap1 mRNA， and Western blot was used to detect the expressions of myocardial Epac1， Rap1GAP and Rap1 protein. ResultCompared with those in the sham operation group， LVEDD and LVISD of rats in the model group significantly increased （P<0.01）， and the ratios of EF and FS significantly decreased （P<0.01）， indicating symptoms of heart function decline， referred to as "heart Qi deficiency". The viscosity of whole blood and plasma significantly increased （P<0.01）， and the content of cAMP significant increased （P<0.01）. In addition， there was a significant proliferation of collagen fibers in myocardial tissue （P<0.01）， and the ultrastructure of the myocardial tissue was severely damaged， indicating pathological changes consistent with "blood stasis". Real-time PCR results showed that Epac1 and Rap1 mRNA levels in the model group were significantly reduced （P<0.01）， while Rap1GAP mRNA levels were significantly increased （P<0.01）. Western blot analysis showed a significant decrease in Epac1 protein expression （P<0.01） and a significant increase in Rap1GAP protein expression （P<0.05）. Compared with the model group， Yiqi Huoxue prescription improved cardiac function， reduced blood viscosity， lowered plasma cAMP levels， decreased collagen fiber proliferation， and improved myocardial ultrastructure damage in CHD rats with Qi deficiency and blood stasis syndrome. The high-dose group showed the most significant effects. In the high-dose group， Epac1 mRNA and protein expression levels significantly increased （P<0.01）， Rap1 mRNA expression significantly increased （P<0.01）， and Rap1GAP mRNA and Rap1GAP/Rap1 protein expression levels significantly decreased （P<0.05， P<0.01）. ConclusionYiqi Huoxue prescription can improve cardiac function， reduce blood viscosity and plasma cAMP levels， improve myocardial damage， and reduce collagen fiber proliferation in CHD rats with Qi deficiency and blood stasis syndrome. The myocardial protection mechanism may be related to the regulation of the cAMP/Epac1/Rap1 signaling pathway.

Eye diagnosis is a method for inspecting systemic diseases and syndromes by observing the eyes.With the development of intelligent diagnosis in traditional Chinese medicine(TCM),artificial intelligence(AI)can improve the accuracy and efficiency of eye diagnosis.However,the research on intelligent eye diagnosis still faces many challenges,including the lack of standardized and precisely labeled data,multi-modal information analysis,and artificial in-telligence models for syndrome differentiation.The widespread application of AI models in medicine provides new insights and opportunities for the research of eye diagnosis intelli-gence.This study elaborates on the three key technologies of AI models in the intelligent ap-plication of TCM eye diagnosis,and explores the implications for the research of eye diagno-sis intelligence.First,a database concerning eye diagnosis was established based on self-su-pervised learning so as to solve the issues related to the lack of standardized and precisely la-beled data.Next,the cross-modal understanding and generation of deep neural network models to address the problem of lacking multi-modal information analysis.Last,the build-ing of data-driven models for eye diagnosis to tackle the issue of the absence of syndrome dif-ferentiation models.In summary,research on intelligent eye diagnosis has great potential to be applied the surge of AI model applications.

Objectives:To analyze the status and temporal changes of disability-adjusted life year (DALY) for stomach and colorectal cancers among registered permanent residents in Changning District of Shanghai Municipality, and provide scientific basis for the prevention and treatment of stomach and colorectal cancers in this district.Methods:Using the cancer registration data of stomach and colorectal cancers from 2002 to 2019, we estimated the indices such as the DALYs, the DALY crude rates, the age-standardized DALY rates, etc. Then we used the Joinpoint regression model to calculate the average annual percent change (AAPC) and annual percent change (APC) to explore the temporal variations in different periods.Results:The DALYs of stomach and colorectal cancers in Changning District from 2002 to 2019 were 55 931 person years and 65 252 person years, respectively. The crude rates of DALY were 512.16/10 5 and 597.51/10 5, respectively. We observed a higher disease burden in men than in women, and the peak rate of DALY in stomach cancer was in the 75-79 years age group, while in colorectal cancer the rate was in the 85-years-or-older age group. Joinpoint regression analysis showed that from 2002 to 2019, the age-standardized DALY rate of stomach cancer showed a downward trend (AAPC=-3.86%, P＜0.05), while the trend of colorectal cancer was not statistically significant(AAPC=-0.08%, P＞0.05). However, the trends in the age-standardized DALY rates of colorectal cancer were different between males and females, with males showing an upward trend (AAPC=1.24%, P＜0.05) and females showing a downward trend (AAPC=-1.67%, P＜0.05). Conclusions:The DALY of stomach and colorectal cancers in Changning District of Shanghai showed a decreasing trend. Males and the middle-aged and elderly populations are still the key targets for disease prevention and control in this district.

Objectives:To analyze the status and temporal changes of disability-adjusted life year (DALY) for stomach and colorectal cancers among registered permanent residents in Changning District of Shanghai Municipality, and provide scientific basis for the prevention and treatment of stomach and colorectal cancers in this district.Methods:Using the cancer registration data of stomach and colorectal cancers from 2002 to 2019, we estimated the indices such as the DALYs, the DALY crude rates, the age-standardized DALY rates, etc. Then we used the Joinpoint regression model to calculate the average annual percent change (AAPC) and annual percent change (APC) to explore the temporal variations in different periods.Results:The DALYs of stomach and colorectal cancers in Changning District from 2002 to 2019 were 55 931 person years and 65 252 person years, respectively. The crude rates of DALY were 512.16/10 5 and 597.51/10 5, respectively. We observed a higher disease burden in men than in women, and the peak rate of DALY in stomach cancer was in the 75-79 years age group, while in colorectal cancer the rate was in the 85-years-or-older age group. Joinpoint regression analysis showed that from 2002 to 2019, the age-standardized DALY rate of stomach cancer showed a downward trend (AAPC=-3.86%, P＜0.05), while the trend of colorectal cancer was not statistically significant(AAPC=-0.08%, P＞0.05). However, the trends in the age-standardized DALY rates of colorectal cancer were different between males and females, with males showing an upward trend (AAPC=1.24%, P＜0.05) and females showing a downward trend (AAPC=-1.67%, P＜0.05). Conclusions:The DALY of stomach and colorectal cancers in Changning District of Shanghai showed a decreasing trend. Males and the middle-aged and elderly populations are still the key targets for disease prevention and control in this district.

Background::The Global Leadership Initiative on Malnutrition (GLIM) criteria were published to build a global consensus on nutritional diagnosis. Reduced muscle mass is a phenotypic criterion with strong evidence to support its inclusion in the GLIM consensus criteria. However, there is no consensus regarding how to accurately measure and define reduced muscle mass in clinical settings. This study aimed to investigate the optimal reference values of skeletal muscle mass index for diagnosing sarcopenia and GLIM-defined malnutrition, as well as the prevalence of GLIM-defined malnutrition in hospitalized cirrhotic patients.Methods::This retrospective study was conducted on 1002 adult patients with liver cirrhosis between January 1, 2018, and February 28, 2022, at Beijing You-An Hospital, Capital Medical University. Adult patients with a clinical diagnosis of liver cirrhosis and who underwent an abdominal computed tomography (CT) examination during hospitalization were included in the study. These patients were randomly divided into a modeling group (cohort 1, 667 patients) and a validation group (cohort 2, 335 patients). In cohort 1, optimal cut-off values of skeletal muscle index at the third lumbar skeletal muscle index (L3-SMI) were determined using receiver operating characteristic analyses against in-hospital mortality in different gender groups. Next, patients in cohort 2 were screened for nutritional risk using the Nutritional Risk Screening 2002 (NRS-2002), and malnutrition was diagnosed by GLIM criteria. Additionally, the reference values of reduced muscle mass in GLIM criteria were derived from the L3-SMI values from cohort 1. Multivariate logistic regression analysis was used to analyze the association between GLIM-defined malnutrition and clinical outcomes.Results::The optimal cut-off values of L3-SMI were 39.50 cm 2/m 2 for male patients and 33.06 cm 2/m 2 for female patients. Based on the cut-off values, 31.63% (68/215) of the male patients and 23.3% (28/120) of the female patients had CT-determined sarcopenia in cohort 2. The prevalence of GLIM-defined malnutrition in cirrhotic patients was 34.3% (115/335) and GLIM-defined malnutrition was an independent risk factor for in-hospital mortality in patients with liver cirrhosis ( Wald = 6.347, P = 0.012). Conclusions::This study provided reference values for skeletal muscle mass index and the prevalence of GLIM-defined malnutrition in hospitalized patients with liver cirrhosis. These reference values will contribute to applying the GLIM criteria in cirrhotic patients.

Background::Acute-on-chronic liver failure (ACLF) is a severe liver disease with complex pathogenesis. Clinical hypoglycemia is common in patients with ACLF and often predicts a worse prognosis. Accumulating evidence suggests that glucose metabolic disturbance, especially gluconeogenesis dysfunction, plays a critical role in the disease progression of ACLF. Lon protease-1 (LONP1) is a novel mediator of energy and glucose metabolism. However, whether gluconeogenesis is a potential mechanism through which LONP1 modulates ACLF remains unknown.Methods::In this study, we collected liver tissues from ACLF patients, established an ACLF mouse model with carbon tetrachloride (CCl 4), lipopolysaccharide (LPS), and D-galactose (D-gal), and constructed an in vitro hypoxia and hyperammonemia-triggered hepatocyte injury model. LONP1 overexpression and knockdown adenovirus were used to assess the protective effect of LONP1 on liver injury and gluconeogenesis regulation. Liver histopathology, biochemical index, mitochondrial morphology, cell viability and apoptosis, and the expression and activity of key gluconeogenic enzymes were detected to explore the underlying protective mechanisms of LONP1 in ACLF. Results::We found that LONP1 and the expressions of gluconeogenic enzymes were downregulated in clinical ACLF liver tissues. Furthermore, LONP1 overexpression remarkably attenuated liver injury, which was characterized by improved liver histopathological lesions and decreased serum alanine aminotransferase (ALT) and aspartate aminotransferase (AST) in ACLF mice. Moreover, mitochondrial morphology was improved upon overexpression of LONP1. Meanwhile, the expression and activity of the key gluconeogenic enzymes were restored by LONP1 overexpression. Similarly, the hepatoprotective effect was also observed in the hepatocyte injury model, as evidenced by improved cell viability, reduced cell apoptosis, and improved gluconeogenesis level and activity, while LONP1 knockdown worsened liver injury and gluconeogenesis disorders.Conclusion::We demonstrated that gluconeogenesis dysfunction exists in ACLF, and LONP1 could ameliorate liver injury and improve gluconeogenic dysfunction, which would provide a promising therapeutic target for patients with ACLF.