ObjectiveTo establish a risk recognition model for coronary artery stenosis by using a machine learning method and to identify the key causative factors. MethodsPatients aged ≥18 years，diagnosed with coronary heart disease through coronary angiography from January 2013 to May 2020 in two prominent hospitals in Shanxi Province， were continuously enrolled. Logistic regression，back propagation neural network （BPNN）， and random forest（RF）algorithms were used to construct models for detecting the causative factors of coronary artery stenosis. Sensitivity （TPR）， specificity （TNR）， accuracy （ACC）， positive predictive value （PV+）， negative predictive value （PV-）， area under subject operating characteristic curve （AUC）， and calibration curve were used to compare the discrimination and calibration performance of the models. The best model was then employed to predict the main risk variables associated with coronary stenosis. ResultsThe RF model exhibited superior comprehensive performance compared to logistic regression and BPNN models. The TPR values for logistic regression，BPNN，and RF models were 75.76%， 74.30%， and 93.70%， while ACC values were 74.05%， 72.30%， and 79.49%， respectively. The AUC values were：logistic regression 0.739 9； BPNN 0.723 1； RF 0.752 2. Manifestations such as chest pains，abnormal ST segments on ECG，ventricular premature beats with hypertension， atrial fibrillation， regional wall motion abnormalities（RWMA） by color echocardiography， aortic regurgitation（AR）， pulmonary insufficiency （PI）， family history of cardiovascular diseases，and body mass index（BMI）were identified as top ten important variables affecting coronary stenosis according to the RF model. ConclusionsRandom forest model shows the best comprehensive performance in identification and accurate assessment of coronary artery stenosis. The prediction of risk factors affecting coronary artery stenosis can provide a scientific basis for clinical intervention and help to formulate further diagnosis and treatment strategies so as to delay the disease progression.

ObjectiveTo investigate the effect of Danggui Shaoyaosan on ferroptosis in the rat model of non-alcoholic fatty liver disease （NAFLD） and explore the underlying mechanism based on the nuclear factor E₂-related factor 2 （Nrf2）/solute carrier family 7 member 11 （SLC7A11）/glutathione peroxidase 4 （GPX4） signaling pathway. MethodsThe sixty SD rats were randomly grouped as follows： control， model， Yishanfu （0.144 g·kg^-1）， and low-， medium-， and high-dose （2.44， 4.88， and 9.76 g·kg^-1， respectively） Danggui Shaoyaosan. A high-fat diet was used to establish the rat model of NAFLD. After 12 weeks of modeling， rats were treated with corresponding agents for 4 weeks. Then， the body weight and liver weight were measured， and the liver index was calculated. At the same time， serum and liver samples were collected. The levels or activities of total cholesterol （TC）， triglycerides （TG）， alanine aminotransferase （ALT）， aspartate aminotransferase （AST）， and Fe²⁺ in the serum and TC， TG， free fatty acids （FFA）， malondialdehyde （MDA）， superoxide dismutase （SOD）， glutathione peroxidase （GPX）， and Fe²⁺ in the liver were measured. Hematoxylin-eosin staining and oil red O staining were employed to observe the pathological changes in the liver. Immunofluorescence was used to assess the reactive oxygen species （ROS） content in the liver. Mitochondrial morphology was observed by transmission electron microscopy. The protein levels of Nrf2， SLC7A11， GPX4， transferrin receptor 1 （TFR1）， and divalent metal transporter 1 （DMT1） in the liver were determined by Western blot. ResultsCompared with the control group， the model group showed increases in the body weight， liver weight， liver index， levels or activities of TC， TG， ALT， AST， and Fe²⁺ in the serum， levels of TC， TG， FFA， MDA， Fe²⁺， and ROS in the liver， and protein levels of TFR1 and DMT1 in the liver （P<0.01）， and decreases in the activities of SOD， GPX and the protein levels of Nrf2， SLC7A11， and GPX4 in the liver （P<0.05， P<0.01）. Meanwhile， the liver tissue in the model group presented steatosis， iron deposition， mitochondrial shrinkage， and blurred or swollen mitochondrial cristae. Compared with the model group， all doses of Danggui Shaoyaosan reduced the body weight， liver weight， liver index， levels or activities of TC， TG， ALT， AST， and Fe²⁺ in the serum， levels of TC， TG， FFA， MDA， Fe²⁺， and ROS in the liver， and protein levels of TFR1 and DMT1 in the liver （P<0.01）， while increasing the activities of SOD and GPX and the protein levels of Nrf2， SLC7A11， and GPX4 in the liver （P<0.01）. Furthermore， Danggui Shaoyaosan alleviated steatosis， iron deposition， and mitochondrial damage in the liver. ConclusionDanggui Shaoyaosan may inhibit lipid peroxidation and ferroptosis by activating the Nrf2/SLC7A11/GPX4 signaling pathway to treat NAFLD.

MiRNAs are a class of small non-coding RNAs,which regulate gene expression post-transcriptionally by partial complementary base pairing.Aberrant miRNA expressions have been reported in tumor tissues and peripheral blood of cancer patients.In recent years,artificial intelligence algorithms such as machine learning and deep learning have been widely used in bioinformatic research.Compared to traditional bioinformatic tools,miRNA target prediction tools based on artificial intelligence algorithms have higher accuracy,and can successfully predict subcellular localization and redistribution of miRNAs to deepen our understanding.Additionally,the construction of clinical models based on artificial intelligence algorithms could significantly improve the mining efficiency of miRNA used as biomarkers.In this article,we summarize recent development of bioinformatic miRNA tools based on artificial intelligence algorithms,focusing on the potential of machine learning and deep learning in cancer-related miRNA research.

Objective:To investigate the degree of satisfaction with education of undergraduates majoring in medical technology in medical universities in China and associated problems, and to put forward countermeasures and suggestions for student training.Methods:A questionnaire was distributed to undergraduates majoring in medical technology selected by stratified sampling from Shanghai Jiao Tong University, Tianjin Medical University, and Shanghai University of Medicine & Health Sciences. The questionnaire covered demographic characteristics, major choice motivation, education satisfaction, and various aspects, including a total of 54 variables (21 nominal variables and 33 continuous variables). Statistical analysis was performed by using SPSS 27.0 One-way analysis of variance was used for group comparison.Results:The mean degree of satisfaction with education of the students of medical technology was 4.02 points, with the highest score for curricula and teaching and the lowest score for academic atmosphere. Cultivation and management showed the strongest correlation with the degree of satisfaction with education. The degree of satisfaction with education differed significantly for different institutions and different major choice motivations ( P<0.05). Conclusions:Undergraduates of medical technology are generally satisfied with their education, and the degree of satisfaction is lower in double first-class universities than in application-oriented ordinary universities. Attention should be paid to student training and management, creating a positive academic atmosphere, and enhancing the attractiveness of colleges/universities and majors. Compared with application-oriented undergraduate colleges/universities, double first-class universities should well coordinate training goals with students' expectations, industry needs, and even national strategic needs. Colleges and universities can make appropriate adjustments in terms of curricula, teaching, and teaching resources, to promote the diverse and orderly development of medical technology talents based on their personal strengths.

AIM: To investigate the differences in varying stages of non-proliferative diabetic retinopathy(NPDR)using optical coherence tomography angiography(OCTA).METHODS: Cross-sectional study. A total of 77 cases(77 eyes)of diabetic patients were included, and they were divided into non-diabetic retinopathy(NDR; 23 eyes)and non-proliferative diabetic retinopathy(NPDR; 54 eyes)groups, further subdivided into mild NPDR(20 eyes), moderate NPDR(20 eyes), and severe NPDR(14 eyes). Foveal avascular zone(FAZ)area, superficial and deep capillary plexus densities(SSP and DSP), and visual acuity(LogMAR)were compared between NDR and NPDR groups. Furthermore, the visual acuity, FAZ area and levels of SSP and DSP were compared in different degrees of NPDR. Correlation analysis were conducted to elucidate relationships between FAZ area, visual acuity, SSP, DSP, and severity of the disease.RESULTS: Compared with the NDR group, the visual acuity(LogMAR)and macular FAZ area increased, while SSP and DSP were decreased in the NPDR group(P<0.05); there were significant differences in visual acuity, FAZ area and SSP and DSP levels in different degrees of NPDR(P<0.05). Visual acuity(LogMAR)and FAZ area displayed a positive correlation with the severity of disease, while SSP and DSP showed a negative correlation.CONCLUSION: With the progression of NPDR, the visual acuity(LogMAR)and FAZ area increased, and the SSP and DSP decreased.

国家自然科学基金项目(11932012、81400536),上海申康医院发展中心临床创新三年行动计划(SHDC2020CR3009A),上海交通大学医工(理)交叉基金(JYJC202130)

Traditional Chinese Medicine (TCM) has its own unique features in the treatment of post-stroke depression (PSD). The kidney is the congenital foundation and is closely related to the brain. Kidney deficiency runs through the entire course of stroke. Liver regulates the normal operation of qi in the human body, which is closely related to depression syndrome. Kidney deficiency and liver depression affect each other. The treatment of PSD with the Bushen Shugan (tonifying the kidney and soothing the liver) method has achieved good efficacy in clinic. The method of tonifying kidney and soothing liver can not only reflect the holistic view of TCM and the association of viscera, but also coordinate the relationship between body and spirit. In the future, the development direction of PSD in TCM research should be to further strengthen the concept of co-regulation of body and spirit and integration of brain and viscera.

Bile acids(BAs)are synthesized by the liver from cholesterol through several complementary pathways and aberrant cholesterol metabolism plays pivotal roles in the pathogeneses of cholesterol gallbladder polyps(CGP)and cholesterol gallstones(CGS).To date,there is neither systematic study on BAs profile of CGP or CGS,nor the relationship between them.To explore the metabolomics profile of plasma BAs in healthy volunteers,CGP and CGS patients,an ultra-performance liquid chromatography-tandem mass spectrometry(UPLC-MS/MS)method was developed and validated for simultaneous determination of 42 free and conjugated BAs in human plasma.The developed method was sensitive and reproducible to be applied for the quantification of BAs in the investigation of plasma samples.The results show that,compared to healthy volunteers,CGP and CGS were both characterized by the significant decrease in plasma BAs pool size,furthermore CGP and CGS shared aberrant BAs metabolic characteristics.Cheno-deoxycholic acid,glycochenodeoxycholic acid,λ-muricholic acid,deoxycholic acid,and 7-ketolithocholic acid were shared potential markers of these two cholesterol gallbladder diseases.Subsequent analysis showed that clinical characteristics including cysteine,ornithine and body mass index might be closely related to metabolisms of certain BA modules.This work provides metabolomic information for the study of gallbladder diseases and analytical methodologies for clinical target analysis and efficacy evaluation related to BAs in medical institutions.

Femoral neck fracture (FNF) in the elderly patients is currently a major health challenge worldwide, with excessive consumption of medical resources, high incidence of complications as well as suboptimal outcome and prognosis. Hip joint arthroplasty (HJA) has been the mainstream treatment for FNF in the elderly, but the conventional surgical approaches and techniques are still confronted with a series of bottlenecks such as dislocation, limp and limb length discrepancy. In recent years, direct anterior approach (DAA) for HJA (DAA-HJA) has been a major new choice in the field of joint replacement, which achieves improved clinical effectiveness of HJA in the treatment of elderly FNF, due to the fact that DAA approach involves the neuromuscular interface and accords with the idea of soft tissue retention and enhanced recovery after surgery. However, there is still a lack of unified understanding of standard technique and procedure of DAA-HJA in the treatment of elderly FNF. Therefore, relevant experts from the Hip Joint Group of Chinese Orthopedics Association of Chinese Medical Association, Youth Arthrology Group of Orthopedic Committee of PLA, Orthopedic Committee of Chongqing Medical Association, Branch of Orthopedic Surgeons of Chongqing Medical Doctor Association and Sport Medicine Committee of Chongqing Medical Association were organized to formulate the " Chinese expert consensus on the technical standard of direct anterior hip arthroplasty for elderly femoral neck fracture ( version 2023)" based on evidence-based medicine. This consensus mainly proposed 13 recommendations covering indications, surgical plans, prosthesis selections, surgical techniques and processes, and postoperative management of DAA-HJA in elderly patients with FNF, aiming to promote standardized, systematic and patient-specific diagnosis and treatment to improve the functional prognosis of the patients.

Meige syndrome is one of the rare Diseases of neurology. It is a part of the group of segmental cranial dystonia, which affects more than two cranial muscle groups. Especially, blepharospasm is associated with another cranial dystonia. Currently, the etiology and pathogenesis of this disorder are not well-understood. Based on the theory of collaterals and the relationship between collateral disease and five zang organs,we try to classify the disease into the category of collateral disease, and hold that the mechasnism of disease is not only linked to brain, but also the five zang organs. The disorder of qi and blood leads to the "deficiency of qi and blood", "phlegm-damp" and "stagnant blood" in collateral. These pathological changes cause the deficiency of both qi and blood in brain marrow and tendon.We think that "unblocking and regulating the collterals"is the general program. Adjusting the five zang organs to heel the brain is the key point of the treatment. What's more, we create Tongmai Heluo Decoction to regulate qi and blood of the collateral. This decoction is composed of Huangqi Jianzhong Decoction with some herbal medicine for tonifying qi and activating blood. By adjusting the middle energizer, the qi and the qi movement of five zang organs are well regulated. We use this decoction effectively on refractory Meige syndrome.