Hepatic encephalopathy is a difficult and critical disease with rapid progression and limited treatment methods in the field of liver disease， and it is urgently needed to make breakthroughs in its pathogenesis. Selection of appropriate prevention and treatment strategies is of great importance in delaying disease progression and reducing the incidence and mortality rates. This article reviews the theory of “turbid toxin pathogenesis” and related prevention and treatment strategies for hepatic encephalopathy in traditional Chinese medicine/Zhuang medicine， proposes a new theory of “turbid toxin pathogenesis”， analyzes the scientific connotations of “turbid”， “toxin”， and the theory of “turbid toxin pathogenesis”， and constructs the “four-step” prevention and treatment strategies for hepatic encephalopathy， thereby establishing the new clinical prevention and treatment regimen for hepatic encephalopathy represented by “four prescriptions and two techniques” and clarifying the effect mechanism and biological basis of core prescriptions and techniques in the prevention and treatment of hepatic encephalopathy， in order to provide a reference for the prevention and treatment of hepatic encephalopathy.

ObjectiveBased on analytic hierarchy process（AHP）-criteria importance through intercriteria correlation（CRITIC） hybrid weighting method， grey relational analysis and backpropagation artificial neural network（BP-ANN）， to optimize the water extraction process of Qizhi prescription， so as to provide an experimental basis for optimization of the preparation process of this prescription and the establishment of quality standards. MethodsL₉（3⁴） orthogonal test was employed， and the AHP-CRITIC hybrid weighting method was utilized to determine the weight coefficients of the quality fractions of various components， including astragaloside Ⅳ， polygalaxanthone Ⅲ， calycosin-7-O-β-D-glucoside， tenuifolin， and 3，6′-disinapoylsucrose， as well as the dry extract yield. The comprehensive score of each factor level combination in the orthogonal test were calculated as evaluation indicator to select the optimal extraction process parameters. The effects of extraction times， extraction time， and solvent dosage on the aqueous extraction process of the formula were investigated through intuitive analysis， variance analysis， and grey relational analysis. Meanwhile， a BP-ANN model was established to reverse-predict the optimal extraction process parameters of Qizhi prescription， and the optimized process parameters were validated. ResultsThe weight coefficients of the five index components（astragaloside Ⅳ， tenuifolin， calycosin-7-O-β-D-glucoside， polygalaxanthone Ⅲ， and 3，6′-disinapoylsucrose） and dry extract yield were 25.7%， 20.82%， 16.41%， 12.45%， 15.96% and 8.67%， respectively. The optimized extraction process parameters were extracted 3 times with 8， 6， 6 times the amount of water， each time for 1 h. The network prediction results of BP-ANN test samples were consistent with the orthogonal test results， and the mean square error（MSE） of the predicted and measured values of the network was <1%. The water extraction process of Qizhi prescription analyzed and predicted by relevant mathematical models was stable and feasible， which could effectively improve the extraction efficiency of the active ingredients of Astragali Radix and Polygalae Radix， and the average comprehensive score of the validation test was 90.85 with the relative standard deviation（RSD） of 1.55%. ConclusionThis study establishes a water extraction process for compound Qizhi granules， and the optimized extraction process can effectively improve the extraction efficiency of active ingredients， which provides useful references for the optimization of preparation process and the establishment of quality standards for other clinical experience formulas.

In recent years,the morbidity and mortality of hepatocellular carcinoma(HCC)have been increasing worldwide,and the treatment strategies for HCC are still insufficient,which highlights the importance of exploring the pathogenesis and progression of HCC.Transient receptor potential(TRP)pathway is an important non-selective cation pathway,which is closely related to inflammatory response and sensory conduction.At present,a number of studies have shown that TRP pathway is also involved in the occurrence and development of HCC,inducing HCC invasion and migration.However,the overall potential mechanism and possible signal transduction pathways of TRP pathway in HCC remain unclear.Therefore,this article discusses the abnormal expression of TRP pathway in HCC,and reviews the key biological events of TRP pathway involved in the formation and progression of HCC,such as chronic liver inflammation-fibrosis progression,HCC cell proliferation,migration,apoptosis and HCC stem cell generation,and looks forward to its application prospect in HCC treatment.The aim is to better un-derstand the significance of TRP pathway in HCC,help to find new therapeutic targets and effective drugs,and open up a new situation for future clinical treatment.

Objective : To investigate the mediating effect of negative emotions on visual impairment and resilience among middle-aged and elderly populations, so as to provide insights into improving psychological health among middle-aged and elderly populations. Methods: Demographic information, visual impairment, negative emotions and resilience in the residents at ages of 45 years and older were collected through the database of the Yushu Physical and Mental Health Survey carried out by Institute of Psychology of Chinese Academy of Sciences. Structural equation model was used to analyze the effects of visual impairment and resilience and the mediating role of negative emotions. Results: Totally 2 997 middle-aged and elderly populations were enrolled, with the median age of 50.00 (interquartile range, 47.00) years. There were 1 320 males (44.04%) and 1 677 females (55.96%), 1 627 illiterate persons (54.29%), and 2 780 married persons (92.76%). The scores of visual impairment, negative emotions and resilience were (6.79±2.59), (6.35±3.05) and (33.38±10.41) points, respectively. The results of structural equation model analysis showed that after adjusting for age, gender, educational level and marital status, visual impairment had a direct negative positive effect on resilience, with a direct effect value of -0.157 (95%CI: -0.177 to -0.137), and visual impairment could also negatively affect residence through negative emotions, with a mediating effect value of -0.112 (95%CI: -0.126 to -0.104), and the mediating effect contributed 41.64% to the total effect. Conclusion visual impairment could reduce residence directly or indirectly through the mediating effect of negative emotions among middle-aged and elderly populations.

ObjectiveTo investigate the brain absorption components of Tianyuan Zhitong prescription and their distribution based on ultra-high performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS）， desorption electrospray ionization mass spectrometry imaging（DESI-MSI） and hyperspectral imaging techniques. MethodTen BALB/c mice were randomly divided into blank group（n=3） and administration group（n=7）， the administration group was gavaged with 0.3 mL of Tianyuan Zhitong prescription liquid at a concentration of about 5 g·mL^-1 of the raw material， and the blank group was gavaged with an equal volume of normal saline， and the whole brain of the mice were taken for the preparation of tissue homogenates and frozen sections， respectively. The tissue homogenates were qualitatively analyzed by UPLC-Q-TOF-MS for the brain absorption components in positive and negative ion modes， frozen sections were used for imaging to observe the distribution of these components in the brain. Cytoviva dark-field enhancement microscope was used to perform hyperspectral imaging scanning on the brain sections of mice from each group， and the scattered light data of at least 1 000 pixels in the visible-near-infrared（400-1 000 nm） band in the microscopic field of view were collected and average spectrum were created， which were used to compare the components in the brain tissues of mice from the blank and administration groups. ResultA total of 27 brain absorption components of Tianyuan Zhitong prescription were identified by UPLC-Q-TOF-MS， including 10 organic acids， 5 glycosides， 4 alkaloids， 1 phenol， 4 flavonoids， 2 phthalides and 1 other compound， which were mainly derived from Gastrodiae Rhizoma， Chuanxiong Rhizoma， vinegar-processed Corydalis Rhizoma， Ziziphi Spinosae Semen and processed Morindae Officinalis Radix. A total of 14 components were identified by mass spectrometry imaging， of which ferulic acid， tetrahydropalmatine and N-methyl dehydroberberine were mainly distributed in the cerebral cortex， vitamin B₅， vemonoic acid and ricinoleic acid were mainly distributed in the hypothalamus， elemicin， octadecenic acid and octadecanoic acid were mainly distributed in the cortex and hypothalamus， while senkyunolide B， ligustilide， linoleic acid， 9，12-octadecadienoyl ethyl ester and spinosin were distributed in most regions of the brain tissues. Hyperspectral imaging showed that in the visible-near-infrared band range， the average spectrum of the brain tissues of mice in the administration group was significantly red-shifted， indicating that there were differences in the physical properties or contents of the chemical components in the brain between mice in the blank group and those in the administration group， and further verified the results of mass spectrometry imaging. ConclusionThrough the combination of UPLC-Q-TOF-MS and imaging techniques， the pharmacodynamic components of Tianyuan Zhitong prescription in the treatment of headache and the regional characteristics in brain tissue are clarified， which can provide reference for the selection of the index components of the research on the quality standard of this prescription and the research on the mechanism of the pharmacological effect.

Cross-Sectional Studies ; Urodynamics ; China

Objective:To evaluate the data quality of Shenzhen Type 1 Diabetes Alliance (SZT1D), and to provide a basis for evaluation and improvement for the continuous improvement of data quality.Methods:From December 2018 to July 2021, 697 first-visit type 1 diabetes (T1DM) patients (including 501 in Shenzhen and 196 out-of-Shenzhen) and 120 re-visited T1DM patients (including 113 in Shenzhen and 7 out-of-Shenzhen) who were registered by SZT1D in collaborative research platform network of China Type 1 Diabetes Alliance (hereinafter referred to as China T1D). The data quality was evaluated from three dimensions: data completion, accuracy and revisit. The data completion degree was evaluated by the overall data completion degree and the key indicator completion degree; the data accuracy was evaluated by the probability of abnormal blood glucose value; the patient′s return visit was evaluated by the return visit rate.Results:The main characteristics of T1DM in SZT1D were young and middle-aged adults [age: (34.4±17.1)years] with thin body [BMI: (19.80±3.52)kg/m 2)], half of male and female patients [proportion of male: 52.4%(365/697)]; the main types of diagnosis were classical T1DM [65.22%(150/230)] and latent autoimmune diabetes in adults(LADA) [26.08%(60/230)], and the fasting blood glucose (FPG) [(10.93±6.98)mmol/L] and glycosylated hemoglobin (HbA 1c) [(10.63±3.01)%] were high. The average completion rate of the overall data of the first diagnosed patients in SZT1D was only 60% [(62.9±31.5)%]: the number of patients with overall data completion ≥80% in SZT1D was only 50.2%(350/697); the number of patients with overall data completion ≥80% in Shenzhen was less than that outside Shenzhen [44.3%(222/501) vs 65.3%(128/196), P<0.001]. The key indicators with better completion rate of first-visit were disease course [76.2%(531/697)], age of onset [75.8%(528/697)], family history of diabetes [74.9%(522/697)], etc., but none of them had a completion rate of more than 80%, and the diabetes self-management behavior assessment questionnaire and scale score were completely missing; the frequency of daily blood glucose monitoring [46.1%(231/501) vs 64.3%(126/196), P<0.001], current insulin regimen [44.3%(222/501) vs 63.3%(124/196), P<0.001], number of diabetic ketoacidosis (DKA) since the onset of the disease [45.7%(229/501) vs 64.8%(127/196), P<0.001] and the number of symptomatic hypoglycemia in the past 1 month [39.3%(197/501) vs 63.8%(125/196), P<0.001] were higher in Shenzhen than those reported outside Shenzhen. In addition, the probability of abnormal FPG and postprandial glucose (PPG) [5.2%(24/466); 3.8%(19/236)] were low. The revisit rate was not high [17.2%(120/697)], and the revisit rate in Shenzhen was higher than that outside Shenzhen [22.6%(113/501) vs 3.6%(7/196), P<0.001]. The first revisit rate was 16.2%(113/697) and the second revisit rate was seriously insufficient [1.0%(7/697)]. Conclusions:The data quality of T1DM patients recorded by SZT1D needs to be further improved. Improving the information interconnection between China-T1D and SZT1D, employing quality control personnel and building a systematic data quality evaluation analysis and feedback mechanism are methods to promote the comprehensive, accurate and efficient input of T1DM data and continuously improve the evaluation methods to improve the overall data quality.

Acute-on-chronic liver failure (ACLF) is a life-threatening disease with a high risk of multiple organ failure, sepsis, and death. ACLF activates innate and acquired immune responses in human body and thus leads to the progression of persistent systemic inflammatory response syndrome and multiple organ dysfunction, leading to the high mortality rate of this disease. Dysregulated immune response plays a key role in disease progression, and immunotherapy may help to target immune-mediated organ damage and inhibit the progression of liver failure. This article reviews the role and mechanism of drugs and means with a potential immune regulatory effect in ACLF, in order to provide a reference for immunotherapy for ACLF.

Objective:To construct a computed tomography (CT)-based three-dimensional digital model of small bowel, and investigate its application value for predication of small bowel length before bariatric surgery.Methods:The retrospective and descriptive study was conducted. The clinical data of 3 patients with obesity who were admitted to the Daping Hospital of Army Medical University from December 2018 to January 2019 were collected. There were 2 males and 1 female, aged from from 24 to 44 years, with a median age of 25 years. Patients underwent abdominal enhanced CT examination before operation, and the three-dimensional digital models of small bowel for each patient were constructed respectively. Of the 3 patients, 2 underwent sleeve gastrectomy and 1 underwent Roux-en-Y gastric bypass. The 3 patients were numbered as No.1, No.2, and No.3 according to the operation time. Observation indicators: (1) construction of three-dimensional digital model of small bowel and preoperative prediction of small bowel length; (2) intraoperative measurement of small bowel length and the relative error between preoperative prediction of small bowel length and intraoperative measurement of small bowel length. Count data were represented as absolute numbers or percentages.Results:(1) Construction of three-dimensional digital model of small bowel and preoperative prediction of small bowel length: the three-dimensional digital models of small bowel for each patient were constructed respectively before operation. The volume of small bowel, area of each cross-section for the 10 cross-sections of small bowel, average area of cross-section of small bowel, preoperative prediction of small bowel length in the three-dimensional digital model of small bowel of No.1 patient were 1 312 985 mm 3, 174 mm 2, 154 mm 2, 143 mm 2, 172 mm 2, 345 mm 2, 213 mm 2, 357 mm 2, 173 mm 2, 382 mm 2, 154 mm 2, 227 mm 2, 578 cm. The above indicators of No.2 patient were 1 817 224 mm 3, 274 mm 2, 196 mm 2, 487 mm 2, 413 mm 2, 520 mm 2, 254 mm 2, 231 mm 2, 170 mm 2, 212 mm 2, 168 mm 2, 293 mm 2, 620 cm. The above indicators of No.3 patient were 2 183 019 mm 3, 320 mm 2, 408 mm 2, 281 mm 2, 222 mm 2, 194 mm 2, 219 mm 2, 188 mm 2, 419 mm 2, 326 mm 2, 235 mm 2, 281 mm 2, 777 cm. (2) Intraoperative measurement of small bowel length and the relative error between preoperative prediction of small bowel length and intraoperative measurement of small bowel length: the length of small bowel measured intraoperatively for No.1, No.2, and No.3 patients were 570 cm, 600 cm, and 780 cm, respectively. The relative error between preoperative prediction of small bowel length and intraoperative measurement of small bowel length of No.1, No.2, and No.3 patients were 1.40%、3.33%、0.38%, respectively. Conclusion:Three-dimensional digital model of the small bowel can predict the small bowel length before bariatric surgery.

At present, hepatic encephalopathy has a relatively high mortality and thus greatly affects patients’ quality of life. This article describes the changes of intestinal flora in patients with hepatic encephalopathy and analyzes the mechanism of action of intestinal flora in hepatic encephalopathy and related treatment methods. It is pointed out that the development of hepatic encephalopathy is closely associated with intestinal flora, and clinical treatment by regulating intestinal flora has achieved a marked effect in patients with hepatic encephalopathy. In the future, the research on intestinal flora in patients with hepatic encephalopathy can be deepened to provide better regimens for the treatment of hepatic encephalopathy.