Nowadays,the prevalence of nonalcoholic fatty liver disease(NAFLD)is constantly rising in China and globally,and its incidence rate is increasing year by year,which has seriously affected human life and health.Lipophagy is molecular chaperone-mediated autophagy and has the functions of promoting lipolysis,maintaining the lipid homeostasis of hepatocytes,and alleviating hepatocyte fatty degeneration.Lipophagy has three main processes of lipid droplet catabolism,lipid droplet autophagy,and fatty acid β-oxidation,which are regulated by key genes,receptors,and enzymes.Currently,important advances have been achieved for the intervention methods of traditional Chinese medicine,Western medicine,diet,and exercise in the research on lipophagy,which provides new perspectives for the prevention and treatment strategies for NAFLD.

Objective:To explore the effects of “Internet plus” management based on attention-interest-search-action-share (AISAS) mode on health-promoting lifestyles in young and middle-aged patients with hypertension.Methods:A prospective randomized controlled trial was used by this study, 212 young and middle-aged patients with hypertension from Cardiovascular Medicine Department of the First Affiliated Hospital of Nanchang University were divided into"Internet plus"management group and routine management group according to the random number table method between January 2021 and January 2023, 106 cases in each group. The regular management group were given regular management intervention, and the “Internet plus” management group were used the “Internet plus” management model intervention based on the AISAS model, each lasting 12 months. All patients were intervened for 12 months. At 1d before discharge, 6 months and 12 months after discharge, health-promoting lifestyles were evaluated by Chinese version of Health Promotion Lifestyle Scale (HPLP-IIC), quality of life were evaluated by the 36-item shot-form health status survey (SF-36), and treatment compliance were evaluated by therapeutic adherence scare for hypertensive patients (TASHP).Results:With discharge time, scores of HPLP-IIC, SF-36 and TASHP were significantly increased in both groups (all P<0.05). At 6 and 12 months after discharge, the scores of HPLP-IIC [(117.58±16.43) and (134.37±20.25) points], SF-36 [(79.58±5.43) and (84.37±3.25) points] and TASHP [(101.84±6.32) and (115.37±4.25) points] in “Internet plus” management group were significantly higher than those in routine management group [HPLP-IIC: (96.25±13.74) and (108.05±14.73) points, SF-36: (61.25±5.09) and (78.05±4.37) points, TASHP: (81.05±5.37) and (94.68±3.37) points] (all P<0.001), while systolic blood pressure (SBP) [(128.52±4.02) and (126.81±2.34) mmHg (1 mmHg=0.133 kPa)] and diastolic blood pressure (DBP) [(81.84±6.32) and (79.37±4.25) mmHg] were significantly lower than those in routine management group [SBP: (133.09±5.16) and (133.35±2.57) mmHg, DBP: (85.68±7.15) and (86.05±5.37) mmHg](all P<0.001). And, decrease of SBP [6 months: (-4.43±1.19) and (-6.14±2.01) mmHg] and DBP [6 months: (-3.75±1.71) and (-6.22±2.38) mmHg] in “Internet plus” management group were significantly higher than those in routine management group [SBP: (-1.28±0.75) and (-1.02±0.26) mmHg; DBP: (-1.05±0.62) and (-0.68±0.29) mmHg](all P<0.001). Conclusion:The “Internet plus” management based on AISAS mode can control blood pressure by improving the lifestyle, compliance and quality of life of young and middle-aged hypertensive patients.

Objective:To construct a real-time artificial intelligence (AI)-assisted endoscepic diagnosis system based on YOLO v3 algorithm, and to evaluate its ability of detecting focal gastric lesions in gastroscopy.Methods:A total of 5 488 white light gastroscopic images (2 733 images with gastric focal lesions and 2 755 images without gastric focal lesions) from June to November 2019 and videos of 92 cases (288 168 clear stomach frames) from May to June 2020 at the Digestive Endoscopy Center of Renmin Hospital of Wuhan University were retrospectively collected for AI System test. A total of 3 997 prospective consecutive patients undergoing gastroscopy at the Digestive Endoscopy Center of Renmin Hospital of Wuhan University from July 6, 2020 to November 27, 2020 and May 6, 2021 to August 2, 2021 were enrolled to assess the clinical applicability of AI System. When AI System recognized an abnormal lesion, it marked the lesion with a blue box as a warning. The ability to identify focal gastric lesions and the frequency and causes of false positives and false negatives of AI System were statistically analyzed.Results:In the image test set, the accuracy, the sensitivity, the specificity, the positive predictive value and the negative predictive value of AI System were 92.3% (5 064/5 488), 95.0% (2 597/2 733), 89.5% (2 467/ 2 755), 90.0% (2 597/2 885) and 94.8% (2 467/2 603), respectively. In the video test set, the accuracy, the sensitivity, the specificity, the positive predictive value and the negative predictive value of AI System were 95.4% (274 792/288 168), 95.2% (109 727/115 287), 95.5% (165 065/172 881), 93.4% (109 727/117 543) and 96.7% (165 065/170 625), respectively. In clinical application, the detection rate of local gastric lesions by AI System was 93.0% (6 830/7 344). A total of 514 focal gastric lesions were missed by AI System. The main reasons were punctate erosions (48.8%, 251/514), diminutive xanthomas (22.8%, 117/514) and diminutive polyps (21.4%, 110/514). The mean number of false positives per gastroscopy was 2 (1, 4), most of which were due to normal mucosa folds (50.2%, 5 635/11 225), bubbles and mucus (35.0%, 3 928/11 225), and liquid deposited in the fundus (9.1%, 1 021/11 225).Conclusion:The application of AI System can increase the detection rate of focal gastric lesions.

ABSTRACT OBJECTIVE To explore the pharmacological mechanism of trace elements in preterm low birth weight infants through network pharmacology. METHODS Targets associated with trace elements were obtained from Drugbank database and TTD database. Genes related to preterm low birth weight infants were collected from GeneCards database and DisGeNET database. Two groups of data were intersected to get mapping targets. Protein-protein interaction network of mapping targets were constructed by STRING database. Candidate targets were screened by Cytoscape 3.6.1 and ranked to obtain key targets. The major trace elements were defined by establishing network of “trace elements-candidate targets”. Kyoto Encyclopedia of Genes and Genomes(KEGG) and Gene Ontology(GO) term enrichment analysis was performed via g:Profiler software to predict the molecular mechanisms and related pathways of trace elements on preterm low birth weight infants. RESULTS A sum of 211 targets of trace elements in preterm low birth weight infants were screened, including 26 candidate targets and three key targets: albumin(ALB), glyceraldehyde-3-phosphate dehydrogenase(GAPDH) and fibronectin 1(FN1). The major trace elements were copper(Cu) and zinc(Zn), regulating 22 and 19 targets respectively. KEGG pathway enrichment analysis predicted that three major pathways were complement and coagulation cascades, cholesterol metabolism as well as lipid and atherosclerosis. CONCLUSION The major trace elements Cu and Zn may cause neuronal damage and reduce the risk of oxidative stress-related diseases in premature infants through the regulation of GAPDH, ceruloplasmin(CP), superoxide dismutase 1(SOD1), etc. The appropriate levels of Cu and Zn for preterm infants may regulate cholesterol metabolism and other signaling pathways and therefore reduce the risk of cardiovascular diseases in premature infants and adult. Further investigation of the pharmacological mechanism of trace elements in preterm infants is necessary to provide a more sufficient theoretical basis for the good growth and development of preterm infants.

Objective:To explore the risk factors of microvascular invasion (MVI) in hepatocellular carcinoma (HCC), and to predict MVI preoperatively, non-invasively and accurately.Methods:A total of 150 HCC patients (183 HCC lesions) were retrospectively collected in the First Affiliated Hospital of Xi′an Jiaotong University from January 2016 to June 2022.The clinical data and hematological data, gray-scale ultrasonography (US), contrast-enhanced ultrasonography (CEUS), enhanced magnetic resonance imaging with gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid (EOB-MRI) and pathological data of these patients were recorded. According to the pathological diagnosis of MVI, the lesions were divided into MVI (+ ) group and MVI (-) group. The indicators between the two groups were compared. All 183 lesions were put into the training set, and the prediction model with nomogram was constructed according to the risk factors of MVI selected by multivariate Logistic regression. The internal verification was carried out by ten-fold cross-validation method.Results:There were significant statistical differences in the following parameters between MVI (+ ) group ( n=109) and MVI (-) group ( n=74) (all P<0.05). These were cirrhosis, serological parameters (alpha-fetoprotein, albumin, total bilirubin), qualitative indexes of US (size, boundary, internal echo), qualitative indexes of CEUS (hyper/iso/hypovascularity of lesions in arterial phase, portal phase, and delayed phase compared with hepatic parenchyma), and quantitative indexes of EOB-MRI [post enhancement rate (post ratio) and gadolinium disodium rate (EOB ratio)] calculated mainly in terms of lesions and surrounding liver parenchyma in hepatobiliary phase and unenhanced T1 images). Finally, cirrhosis of patients, the size, boundary, internal echo of lesions in US; arterial phase (AP), portal phase (PP), post-vascular phase (PVP) features in CEUS; the EOB rate and post rate of EOB-MRI entered the prediction model of MVI. The training set exhibited good calibration and net gain rate. The areas under the ROC curve for the training set and the validation set were 0.981 and 0.961, respectively, while the diagnostic accuracy were 92.9% and 85.8%, respectively. Conclusions:The model constructed mainly by multimodality imaging methods can achieve favorable predictive performance for MVI, which provides valuable ideas for noninvasively predicting the incidence of MVI and optimizing the MVI-related treatment of MVI in HCC patients.

ObjectiveTo observe the primary tumor of tree shrews and to provide a basis for studying the pathogenesis and prevention of trichoepithelioma. MethodsA tumor was discovered in the chest and abdomen of a tree shrew during natural cultivation. The tree shrew was anesthetized, and the tumor was surgically removed. Hematoxylin and eosin (HE) staining and immunohistochemical staining were performed on the tumor tissue after paraffin section, and the tumor cells were isolated and cultured by passage. The isolated tumor cells were subcutaneously injected into healthy tree shrews and nude mice. The tumorigenesis of tumor cells in vivo was observed once a day, with nude mice continuously observed for 2 months and tree shrews observed for more than 6 months. ResultsHE staining showed that the basal cells in the dermis were arranged as a whole, like a string of petals, forming nests and stripe-like structures with clear boundaries. The observation results after magnification revealed that the tumor cells were arranged in a pallisade-like and basal pattern, with deep nuclear staining and minimal cytoplasmic. Immunohistochemical staining showed the high expression of CK protein and low proportion expression of ki-67 protein in tumor cells, as well as the high expression of vimentin and low expressions of Bcl2 and CD10 in tumor cell mesenchyme. The isolated tumor cells grew well in DMEM medium containing 10% fetal bovine serum and could be cultured by passage, but no tumor formation was observed in healthy tree shrews and nude mice inoculated with tumor cells. ConclusionCombined with the location of the tumor, overall morphology, HE staining, and immunohistochemical results, the thoracoabdominal mass of the tree shrew was diagnosed as a trichoepithelioma.

Objective To use the cognitive reinforcement comprehensive intervention program constructed by our team to intervene in patients with spinal cord injury and evaluate its clinical application effect.Methods A non-randomized trial design was adopted to select 97 patients with spinal cord injury from November 2021 to September 2022.Forty-four patients from March to September 2022 in a Grade A hospital in Hefei City were included in the experimental group,and 53 patients from November 2021 to February 2022 were included in the control group.The cognitive reinforcement comprehensive intervention program was used to intervene in the experimental group,and the conventional rehabilitation nursing was used to intervene in the control group.The intervention lasted for 12 weeks in both groups.The Changsha Montreal Scale,Social Support Rating Scale,Rehabilitation Exercise Self-efficacy Scale,Spinal Cord Injury Independence Rating Scale and Hamilton Anxiety Scale were used to measure the two groups before intervention,1 month after intervention and 3 months after intervention.Results 40 cases in the experimental group and 48 cases in the control group completed the study.Repeated measurement ANOVA showed that the temporal,interactive and intergroup effects of cognitive function scores and anxiety scores were statistically significant(P＜0.05).The time effect and interaction effect of the subjective support dimension score,coping self-efficacy dimension score of the two groups were statistically significant(P＜0.05).One month after the intervention,the cognitive function scores of test group were higher than before intervention and control group,and the anxiety scores were lower than before intervention and control group(P＜0.05).Three months after the intervention,the scores of cognitive function,subjective support dimension and coping self-efficacy dimension of experimental group were higher than those before intervention and control group,and the scores of anxiety level were lower than those before intervention and control group(P＜0.05).Conclusion Comprehensive intervention of cognitive reinforcement can improve the cognitive function of patients with spinal cord injury,delay the process of cognitive impairment,enhance self-confidence,relieve anxiety,and promote physical and mental rehabilitation of patients.

Objective:To explore the walking speed and cognitive function status of elderly inpatients and analyze the relationship between them.Methods:A total of 1 800 elderly inpatients in Beijing Hospital from January to July 2022 were selected as the research objects by the convenient sampling method. General Data Questionnaire and Mini-Mental State Examination (MMSE) were used to investigate the walking speed, and 3 m pace measurement was used to evaluate the pace. Binomial Logistic regression analysis was used to explore the influencing factors of cognitive dysfunction in elderly inpatients.Results:A total of 1 800 questionnaires were collected and 1 771 were valid, with the effective recovery rate of 98.39%. 9.82% (174/1 771) of the elderly inpatients had cognitive dysfunction. Binomial Logistic regression analysis showed that walking speed decline was a risk factor for cognitive dysfunction in elderly inpatients ( OR=1.860, 95% CI: 1.217-2.843) . In addition, age, visual impairment, education level and regular physical exercise were factors affecting cognitive impairment in elderly hospitalized patients ( P<0.05) . Conclusions:Elderly inpatients with decreased walking speed have a higher risk of cognitive dysfunction. Medical staff should pay attention to assessing the walking speed of elderly inpatients, early identification of pace changes and intervention to help elderly inpatients maintain a higher quality of life and better cognitive function.

Objective:To explore the mediating effect of self-efficacy and fatigue between depression and cognitive function in patients with spinal cord injury.Methods:General information questionnaire, Hamilton Depression Scale, Montreal Cognitive Scale, Rehabilitation Exercise Self-Efficacy Scale, Fatigue Revised Scale were used to investigate 256 cases of spinal cord injury patients from December 2018 to August 2020. The deviation-corrected percentile Bootstrap method was used to test the chain mediating effect of rehabilitation exercise self-efficacy and fatigue on depression and cognitive function.Results:Correlation analysis showed that depression was negatively correlated with cognitive function ( r=-0.146, P<0.01), self-efficacy of rehabilitation exercise ( r=-0.115, P<0.01), and positively correlated with fatigue ( r=0.317, P<0.01), self-efficacy of rehabilitation exercise was positively correlated with cognitive function ( r=0.903, P<0.01), and negatively correlated with fatigue ( r=-0.889, P<0.01), and fatigue was negatively correlated with cognitive function ( r=-0.217, P<0.01). The mediation model test showed that depression had a significant direct effect on cognitive function, with an effect value of -0.141 and an effect size of 50.20%. Self-efficacy of rehabilitation exercise and fatigue had a significant mediating effect between depression and cognitive function. The effect value was -0.096, -0.026, the effect size was 34.1%, 9.3%, and the chain mediation effect of rehabilitation exercise self-efficacy-fatigue was also significant, the effect value was -0.018, and the effect size was 6.4%. Conclusions:Depression in patients with spinal cord injury not only directly affects cognitive function, but also indirectly affects cognitive function through the mediating effects of self-efficacy of rehabilitation exercise and fatigue, and the chain-type mediating effect of rehabilitation exercise self-efficacy and fatigue.

Objective:To construct a deep learning-based diagnostic system for gastrointestinal submucosal tumor (SMT) under endoscopic ultrasonography (EUS), so as to help endoscopists diagnose SMT.Methods:From January 1, 2019 to December 15, 2021, at the Digestive Endoscopy Center of Renmin Hospital of Wuhan University, 245 patients with SMT confirmed by pathological diagnosis who underwent EUS and endoscopic submucosal dissection were enrolled. A total of 3 400 EUS images were collected. Among the images, 2 722 EUS images were used for training of lesion segmentation model, while 2 209 EUS images were used for training of stromal tumor and leiomyoma classification model; 283 and 191 images were selected as independent test sets to evaluate lesion segmentation model and classification model, respectively. Thirty images were selected as an independent data set for human-machine competition to compare the lesion classification accuracy between lesion classification models and 6 endoscopists. The performance of the segmentation model was evaluated by indexes such as Intersection-over-Union and Dice coefficient. The performance of the classification model was evaluated by accuracy. Chi-square test was used for statistical analysis.Results:The average Intersection-over-Union and Dice coefficient of lesion segmentation model were 0.754 and 0.835, respectively, and the accuracy, recall and F1 score were 95.2%, 98.9% and 97.0%, respectively. Based on the lesion segmentation, the accuracy of classification model increased from 70.2% to 92.1%. The results of human-machine competition showed that the accuracy of classification model in differential diagnosis of stromal tumor and leiomyoma was 86.7% (26/30), which was superior to that of 4 out of the 6 endoscopists(56.7%, 17/30; 56.7%, 17/30; 53.3%, 16/30; 60.0%, 18/30; respectively), and the differences were statistically significant( χ2=7.11, 7.36, 8.10, 6.13; all P<0.05). There was no significant difference between the accuracy of the other 2 endoscopists(76.7%, 23/30; 73.3%, 22/30; respectively) and model(both P<0.05). Conclusion:This system could be used for the auxiliary diagnosis of SMT under ultrasonic endoscope in the future, and to provide a powerful evidence for the selection of subsequent treatment decisions.