BackgroundSchizophrenia is a highly heterogeneous disease with different clinical subtypes. Artificial intelligence technology represented by deep learning models has provided considerable benefits for the electroencephalogram （EEG）-based schizophrenia diagnosis， treatment and research， however， to date little research has been conducted regarding any of these benefits among Chinese schizophrenic patients. ObjectiveTo investigate the application of deep learning techniques utilizing EEG parameters for the diagnosis of first-episode schizophrenia and grading of EEG abnormalities in patients， with the aim of contributing to improved clinical diagnosis and treatment strategies for the disorder. MethodsFrom January 2020 to January 2023， a total of 130 patients with first-episode schizophrenia who met the diagnostic criteria of International Classification of Diseases， tenth edition （ICD-10）， and attended at the Third People's Hospital of Fuyang， along with 150 health checkup examinees， were enrolled. All of them underwent EEG examination. An optimized long short-term memory （LSTM） deep learning model was developed utilizing EEG signals. Ten-fold cross-validation method was employed to evaluate the model's performance. The dataset was then split into two components： a training set （90%） for LSTM model development and a test set （10%） for validation. The accuracy， recall rate， precision， F1-score， schizophrenia diagnosis and EEG abnormality grading were used as evaluation indicators， and the results of the proposed model were compared to the assessments made by experienced psychiatrists. ResultsFor schizophrenia diagnosis， the modeling group achieved the following performance metrics： precision （94.40±3.03）%， recall rate （94.30±3.23）%， accuracy （94.60±2.22）%， and F1-score （94.20±2.20）%. In the validation group， the corresponding metrics were precision （90.90±2.85）%， recall rate （92.20±1.14）%， accuracy （92.20±1.69）%， and F1-score （91.50±1.78）%. Statistical analysis revealed no significant differences between the LSTM diagnostic model and the experienced psychiatrists in terms of precision， recall rate， accuracy， and F1-score for schizophrenia diagnosis （χ²=1.500， 0.750， 2.722， 1.056， P>0.05）. The modeling group demonstrated an accuracy rate of （91.71±1.73）% in grading EEG abnormalities. For Grade 1 abnormalities， the modeling group reported a precision of （96.40±2.39）%， a recall rate of （94.77±1.40）%， and an F1-score of （95.55±1.14）%. In the case of Grade 2 abnormalities， the precision was （85.89±2.04）%， the recall rate was （88.10±6.18）%， and the F1-score was （87.06±3.12）%. For the more severe Grade 3 abnormalities， the modeling group's precision was （79.61±7.33）%， the recall rate was （81.79±9.87）%， and the F1-score was （80.41±6.79）%. Additionally， the validation group exhibited an accuracy rate of （85.61±6.16）%. The precision， recall rate， and F1-score for Grade 1 abnormalities were （91.43±6.25）%， （92.64±9.65）% and （91.56±4.83）%， respectively. For Grade 2 abnormalities， these metrics were （71.17±19.02）%， （77.64±17.24）% and （71.88±11.33）%. In the case of Grade 3 abnormalities， the precision was （90.00±21.08）%， the recall rate was （80.00±25.82）%， and the F1-score was （81.67±19.95）%. There was no significant difference in the accuracy， recall， accuracy and F1 value between LSTM model and senior doctors in evaluating the abnormal degree of EEG in schizophrenia （χ²=0.098， 0.036， 0.020， 0.336， P>0.05）. The LSTM model takes less time to diagnose schizophrenia and EEG abnormalities than senior doctors， and the differences were statistically significant （t=57.147， 43.104， P<0.01）. ConclusionThe study utilizes an EEG-based LSTM deep learning model for diagnosing first-episode schizophrenia and grading EEG abnormalities， and the model not only matches the performance of experienced psychiatrists but also significantly reduces the time required for diagnosis.

BACKGROUND:Early exercise treatment is the main prevention way for traumatic joint contracture and is also a research focus.Swimming may be a potential intervention for joint contracture due to the special physical properties of water. OBJECTIVE:To explore the effects of swimming on the development of joint contracture in a rat model and study its mechanisms. METHODS:Twenty-four Sprague-Dawley rats were randomly divided into a blank control group(n=8)and a joint contracture group(n=16).After the surgical operation of knee joint contracture rat models,the joint contracture group was randomly subdivided into a surgical control group(n=8)and a swimming treatment group(n=8).Swimming started in the swimming treatment group in the second week after surgery and lasted for a total of 5 weeks.At the 6th week after surgery,the body mass,knee joint range of motion,and quadriceps diameter were tested,and the diameter/body mass index was calculated.Hematoxylin-eosin staining was performed to detect the pathological changes in the knee joint capsule and quadriceps muscle,and Masson staining was used to observe fibrotic changes in the knee joint capsule.Furthermore,the protein expression of transforming growth factor β1 and type I collagen in the knee joint capsule was quantified by immunohistochemical assay and western blot was performed to detect the protein expression of MuRF1 in the quadriceps femoris. RESULTS AND CONCLUSION:Compared with the blank control group,the knee range of motion decreased in the surgical control and swimming treatment groups(P<0.01),and knee extension deficit and arthrogenic extension deficit were significantly increased(P<0.01),the diameter of the quadriceps muscle was decreased(P<0.01),the joint capsule showed significant fibrosis,the quadriceps muscle was atrophied,and the diameter/body mass index was decreased(P<0.01).Compared with the surgical control group,the swimming treatment group showed a significant increase in knee joint range of motion and quadriceps diameter(P<0.01),and significant improvement in joint capsule fibrosis and quadriceps atrophy.Compared with the blank control group,collagen fiber content and expression of transforming growth factor β1 and type I collagen were increased in the joint capsule of rats in both the surgical control group and the swimming treatment group(P<0.01).Compared with the surgical control group,collagen fiber content and expression of transforming growth factor β1 and type I collagen protein in the joint capsule were decreased in the swimming treatment group.Compared with the blank control group,the expression of MuRF1 protein in the quadriceps muscle of rats in the surgical control group and the swimming treatment group was increased(P<0.05).Compared with the surgical control group,the expression of MuRF1 protein in the quadriceps muscle of rats in the swimming treatment group was decreased(P<0.05).To conclude,early swimming intervention reduces transforming growth factor β1 and type I collagen expression in the joint capsule of traumatic joint contracture rats,decreases MuRF1 expression in the quadriceps muscle,and increases joint range of motion and quadriceps diameter,thereby inhibiting the development of joint contracture.

BACKGROUND:The specific molecular mechanisms underlying common degenerative bone diseases,such as osteoarthritis,osteoporosis,and intervertebral disc degeneration,are currently unclear and may involve endoplasmic reticulum stress.At present,research on the systematic role of endoplasmic reticulum stress in the pathogenesis of these common skeletal diseases and related therapeutic progress is relatively limited. OBJECTIVE:To review the role of endoplasmic reticulum stress in common degenerative bone diseases,explore the molecular mechanisms of these diseases in depth,and provide new ideas and perspectives for prevention and treatment of these diseases. METHODS:Relevant literature from 2000 to 2024 was searched in CNKI,WanFang,VIP,PubMed and Web of Science databases using the search terms of"endoplasmic reticulum stress,bone disease,unfolded protein response,osteoarthritis,osteoporosis,intervertebral disc degeneration,autophagy,apoptosis,ferroptosis,pyroptosis"in Chinese and English.After removal of duplicates and older literature,a total of 115 articles met the inclusion criteria. RESULTS AND CONCLUSION:Endoplasmic reticulum stress has a dual effect in regulating cell physiology.Mild endoplasmic reticulum stress promotes osteogenic differentiation and extracellular matrix synthesis;however,persistent excessive endoplasmic reticulum stress leads to cell death.Endoplasmic reticulum stress-induced cell autophagy and apoptosis are closely related to osteoarthritis,osteoporosis,and intervertebral disc degeneration.Aging,drug side effects,metabolic disorders,calcium imbalance,poor lifestyle habits and other reasons may lead to long-term activation of endoplasmic reticulum stress,which causes bone remodeling disorders,cartilage damage,nucleus pulposus cell death and other pathological manifestations,ultimately leading to the occurrence of osteoarthritis,osteoporosis and intervertebral disc degeneration.Intervention in the relevant mechanisms triggering endoplasmic reticulum stress is expected to play a role in the prevention and treatment of common degenerative bone diseases,such as osteoarthritis,osteoporosis and intervertebral disc degeneration.

Objective To genetically investigate the protective effects of statins on breast cancer. Methods Instrumental variables for the statin target gene HMGCR and five other cholesterol-regulated genes (LDLR, PCSK9, ABCG8, APOB, and NPC1L1) were obtained from previous expression quantitative trait locus (eQTL) studies. Cholesterol-regulated genes predicted by these instrumental variables served as the exposure factors. Mendelian randomization based on pooled data (SMR) was conducted to explore the genetic effects of exposure factors on the incidence risk of all breast cancers, ER+ breast cancer, and ER-breast cancer. Instrumental variables for total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), and non-high-density lipoprotein cholesterol (non-HDL-C) were derived from a previous human genome-wide association study and restricted to be chromosomally located within 100 kb of the above cholesterol regulatory genes; the instrumental variables could predict TC, LDL-C, or non-HDL-C levels under the regulation of the abovementioned cholesterol-associated genes which were used as exposure factors. Two-sample Mendelian randomization (IVW, MR-PRESSO, and MR-Egger) was used to explore the genetic effects of exposure factors on the risk of all breast cancers, ER+ breast cancer, and ER− breast cancer. Results SMR analysis reported that elevated HMGCR expression was significantly associated with the increased incidence risk of all breast cancers and ER+ breast cancer (P=0.044 and P=0.039, respectively) but not with the change in incidence risk of ER− breast cancer (P=0.190); the other five regulatory genes were not significantly correlated with the change in incidence risk of all breast cancers, ER+ breast cancer, and ER− breast cancer (all P>0.05). IVW analysis reported that under the regulation of HMGCR, elevated levels of peripheral TC, LDL-C, and non-HDL-C significantly increased the incidence risk of all breast cancers (P=1.160e-05, P=1.248e-05, and P=1.869e-05) and the incidence risk of ER+ breast cancer (P=3.181e-04, P=2.231e-04, and P=3.520e-04), but they were not associated with a change in the incidence risk of ER− breast cancer (P=0.062, P=0.133, and P=0.055). The results of MR-PRESSO and MR-Egger analyses supported the IVW results. Conclusion Statins could reduce the incidence risk of ER+ breast cancer at the genetic level, but there is no such protective effects on ER− breast cancer.

Retinal vein occlusion(RVO), the second most prevalent retinal vascular disease, has complex pathophysiological mechanism. Except for mechanical pressure on blood vessel, inflammation and endothelin have been confirmed to be involved in the pathogenesis of RVO. However, its specific mechanism remains unclear. Hypertension, diabetes and dyslipidemia have been previously shown to be the most common risk factors in elder population, while recent studies found that coagulation and hemorheological abnormalities are more common in people under 50 years old. Ocular risk factors including glaucoma, high corrected intraocular pressure and retinal vessels abnormality, have gained more and more attention. These factors probably exert a synergistic effect when present simultaneously in the same patient. Therefore, early identification and intervention of those factors could lower the incidence of RVO. This article aims to review recent research and summarize existing mechanism and theories, giving some new research ideas for potential therapy targets and providing references for identification and management of risk factors.

Objective To study the correlation between traditional Chinese medicine(TCM)constitution and pathogenic factors in patients with ankylosing spondylitis(AS).Methods One hundred patients of AS and their family members who had medical consultation in the Fifth Hospital of Xi'an(i.e.,Shaanxi Hospital of Integrated Traditional Chinese and Western Medicine)in August 2019 and September 2020 were selected as the study subjects.The guidelines of Classification and Determination of Traditional Chinese Medicine Constitution issued by the China Association of Chinese Medicine were adopted to determine the traditional Chinese medicine(TCM)constitution types of the study subjects.The sociodemographic information,living habits,clinical symptoms,and TCM constitution types of the AS patients and their family members were collected by means of questionnaires and clinical investigations,and then the pathogenic factors of the patients with AS were investigated.The binomial Logistic regression model was used to analyze the correlation between TCM constitution types and pathogenic factors in patients with AS.Results(1)Among the 100 AS patients,the majority of them had the biased constitutions,and the biased constitutions with the occurrence frequency in descending order were yang deficiency constitution,qi deficiency constitution,and damp-heat constitution,which accounted for 33.00%,14.00%,and 18.00%,respectively.(2)The prevalence rates of AS in the first-,second-,and third-degree relatives of AS patients were 56.25%,40.00%and 25.00%,respectively.For the positive rates of human leukocyte antigen B27(HLA-B27)in AS patients and their family members,HLA-B27 in AS patients was all positive,while the positive rates of HLA-B27 in the first-,second-,and third-degree relatives of AS patients were 44.31%,30.67%and 15.63%,respectively.(3)The results of regression analysis showed that the disease duration of AS patients was significantly correlated with qi deficiency constitution,the grading of sacroiliac arthritis was correlated with qi stagnation constitution,and age was correlated with blood stasis constitution(P＜0.05 or P＜0.01).The results indicated that disease duration and age were the important factors affecting the constitution types of AS patients,and disease duration was closely related to qi deficiency while age was closely related to blood stasis.Conclusion AS is a highly hereditary autoimmune disease,and its onset is associated with HLA-B27.Yang deficiency is the basic constitution type of AS,and damp-heat constitution is the main constitution type in the progression of AS(especially in the active stage of the disease).The prolongation of the disease will exacerbate the illness condition of AS and then the manifestations of qi deficiency will be more obvious.

AIM:To investigate the mechanism of action of Wenweiyang decoction(WWYD)in treating func-tional dyspepsia in rats based on mast cell activation and stem cell factor(SCF)/receptor tyrosine kinase c-Kit signaling pathway.METHODS:Sixty SD rats were randomly divided into control group,model group,ranitidine hydrochloride capsule group,and low-,medium-and high-dose WWYD groups,with 10 rats in each group.The rat model of functional dyspepsia was established by tail clamping and irregular feeding compound senna method.After modeling,the rats in con-trol group and model group were given normal saline,while those in low-,medium-and high-dose(0.743 g/mL,1.485 g/mL and 2.970 g/mL)WWYD groups and ranitidine hydrochloride capsule(3 g/L)group were treated with corresponding drugs by intragastric administration.After treatment,the propulsion rate of the small intestine was measured by the carbon ink propulsion method.Rat duodenal mast cells were observed and counted by toluidine blue staining.ELISA was used for determination of mast cell tryptase(MCT)and histamine(HA)content in rat duodenum.The mRNA levels of SCF and c-Kit in duodenum were detected by RT-qPCR.Western blot and immunohistochemistry were employed to determine the ex-pression levels of SCF and c-Kit in the duodenum.RESULTS:Compared with model group,WWYD treatment signifi-cantly increased the propulsion rate of the small intestine in rats(P<0.05).ELISA results showed that WWYD reduced the number of mast cells and the content of MCT and HA in the duodenal mucosa tissue of rats(P<0.05).Western blot and immunohistochemistry results suggested that WWYD up-regulated the protein expression levels of c-Kit and SCF in the duodenal tissue of rats(P<0.05),and increased the numbers of SCF and c-Kit positive cells.RT-qPCR results indicated that WWYD up-regulated the mRNA expression of c-Kit and SCF in the duodenum of rats(P<0.05).Moreover,the small intestinal propulsion rate was negatively correlated with MCT and HA content,and positively correlated with the expres-sion of SCF and c-Kit.CONCLUSION:Wenweiyang decoction promotes rat duodenal motility,and its mechanism may be related to the inhibition of rat duodenal MCT and HA production and activation of SCF/c-Kit signaling pathway.

Objective To analyze the risk factors for hypothermia during modified radical mastectomy,and construct a nomogram model for predicting the occurrence of hypothermia during modified radical mastectomy based on the risk factors.Methods A total of 383 patients received modified radical mastectomy admitted to our hospital were selected and divided into the hypothermia group(n=58)and the normal group(n=325)according to whether hypothermia occurred.The clinical data of the patients were collected,and the univariate analysis and Logistic regression analysis were used to screen out the independent risk factors for intraoperative hypothermia,and a risk nomogram model for predicting intraoperative hypothermia was constructed by R software and verified.Results There were statistically significant differences in the hypothyroidism,preoperative basal body temperature,intraoperative room temperature,operation time,anesthesia time,intraoperative blood loss,and intraoperative infusion between the two groups(P<0.05).The hypothyroidism(OR=2.156,95%CI:1.158～4.016,P=0.015),abnormal preoperative basal body temperature(OR=2.451,95%CI:1.309～4.588,P=0.005),intraoperative room temperature<23℃(OR=2.027,95%CI:1.085～3.786,P=0.027),operation time>2 hours(OR=2.316,95%CI:1.239～4.327,P=0.008),anesthesia time>3 hours(OR=2.264,95%CI:1.206～4.252,P=0.011),intraoperative infusion volume>1 500 mL(OR=2.895,95%CI:1.543～5.432,P=0.001)were the independent risk factors for the occurrence of intraoperative hypothermia.The nomogram model showed that the score of intraoperative infusion volume>1 500 mL was 100 points,hypothyroidism was 93 points,anesthesia time>3 hours was 85 points,intraoperative room temperature<23℃was 84 points,operation time>2 hours was 79 points,and abnormal preoperative basal body temperature was 75 points.The nomogram model verification results demonstrated that the C-index was 0.834;the H-L goodness-of-fit test showed χ2=11.854 and P=0.078;the calibration curve was close to the ideal curve;the area under the receiver operating characteristic curve was 0.812;and the net benefit value was high at the threshold probability from 5%to 70%.Conclusion The nomogram model constructed in this study can more accurately and reliably predict the risk of hypothermia occurring during modified radical mastectomy,which meets the clinical need for an integrated model and helps to promote the steady development of individualized medicine.

AIM To establish the HPLC characteristic chromatogram of Baqi Rougan Decoction reference sample,and to investigate its quantitative transmission laws.METHODS The contents of calycosin 7-O-glucoside,hesperidin,rosmarinic acid,curcumenol and nystose were determined.The transfer rates of decoction piece-aqueous decoction-reference sample were calculated,after which the paste-forming rate and pH value were recorded.RESULTS There were sixteen characteristic peaks in fifteen batches of reference samples with the similarities of 0.90,nine of which were identified.The average transfer rates of nystose and calycosin 7-O-glucoside in the reference sample were(83.14±6.25)%and(77.81±8.31)%,while those of rosmarinic acid and curcumenol in the aqueous decoction-reference sample were(81.71±6.27)%and(72.16±5.91)%,along with the average paste-forming rate and pH value of(38.91%±1.46%)and 5.13±0.08,respectively.CONCLUSION This stable and feasible method can provide a reference for the selection of preparation process and evaluation of key chemical properties for Baqi Rougan Decoction.

Objective:To evaluate the predictive value of angiopoietin-2 (Ang-2) for the prognosis in patients with acute respiratory distress syndrome (ARDS).Methods:A retrospective study was conducted, and ARDS patients admitted to the department of emergency medicine of Tongde Hospital of Zhejiang Province from December 2020 to September 2022 were enrolled. General information including gender, age, causes of ARDS, disease severity scores, plasma Ang-2 levels before treatment and at 24, 48, and 72 hours after treatment, and record the 60-day prognosis were collected. Differences in clinical data between groups were compared. Multivariate Logistic regression analysis was used to identify the independent risk factors affecting the 60-day prognosis of ARDS patients, and the receiver operator characteristic curve (ROC curve) was plotted to assess the predictive value of these risk factors for patient outcomes. Pearson correlation analysis was used to assess the correlation between Ang-2 and pulmonary vascular permeability index (PVPI) and extravascular lung water index (EVLWI).Results:A total of 132 ARDS patients were included, of which 49 patients died within 60 days and 83 patients survived. In the death group, plasma Ang-2 levels showed a gradually increasing trend, all significantly higher than before treatment (μg/L: 12.75±1.81, 12.74±1.48, 13.45±2.21 vs. 5.98±0.57, all P < 0.05), while the trend in the survival group was not significant. At 24, 48, and 72 hours after treatment, plasma Ang-2 levels in the death group were significantly higher than those in the survival group (μg/L: 12.75±1.81 vs. 7.48±1.22, 12.74±1.48 vs. 7.41±1.19, 13.45±1.41 vs. 6.88±1.41, all P < 0.05). After adjusting for confounding variables, increased plasma Ang-2 level was an independent risk factor for prognosis in ARDS patients within 60 days [odds ratio ( OR) = 0.998, 95% confidence interval (95% CI) was 0.997-0.999, P < 0.01]. ROC curve analysis demonstrated that Ang-2 levels had predictive value for prognosis in ARDS patients [area under the ROC curve (AUC) = 0.985, 95% CI was 0.971-1.000, approximate maximum Youden's index 0.867, optimal cut-off value 8.43 μg/L]. Pearson correlation analysis showed that plasma Ang-2 levels were positively correlated with PVPI and EVLWI ( r values were 0.620 and 0.712 respectively, both P < 0.01). Conclusions:Elevated level of Ang-2 is an independent risk factor for increased mortality in patients with ARDS. Higher Ang-2 levels within 72 hours after treatment may indicate poorer prognosis.