Rotator cuff tear is a common shoulder injury in daily work and sports activities.Arthroscopic repair is the most widely used method for rotator cuff tears,and the postoperative prognosis is good.However,there are still a series of postopera-tive complications that affect the therapeutic effect and patient satisfaction,such as postoperative pain,infection,retear,shoul-der stiffness,etc.This paper reviews the occurrence and influencing factors of shoulder stiffness after arthroscopic repair of ro-tator cuff tear,in order to provide reference for the prevention of postoperative shoulder stiffness and explore the mechanism of postoperative shoulder stiffness.

Objective:To investigate the effects of Curcumol on the malignant biological characteristics of acute myeloid leukemia (AML)cells and its molecular mechanism,and to provide theoretical and experimental evidence for the anti-leukemia treatment of traditional Chinese medicine.Methods:After the AML cell lines HL-60 and KG-1 cells were treated different concentrations of with Curcumol.The proliferation activity of cells was detected by CCK-8 method,and the expression changes of apoptotic proteins and PI3 K/AKT signaling pathway proteins were detected by Western blot. Real-time quantitative fluorescence polymerase chain reaction (RT-qPCR ) was used to detect the expression of Caspase family mRNA.Results:Curcumol could inhibit the proliferation and induce apoptosis of HL-60 and KG-1 cells,promote apoptosis by up-regulating the expression of Bax and down-regulating the expression of Bcl-2 protein (P<0.05).When Curcumol interferes with HL-60 and KG-1 cells,it can also induce programmed cell death of AML by inhibiting PI3 K/AKT signaling pathway.In addition,after the intervention of Curcumol,the expression of Caspase 3,Caspase 6,Caspase 8 and Caspase 9 were up-regulated in HL-60 cells (P<0.05 ),the expression of Caspase 3,Caspase 8 and Caspase 9 were significantly up-regulated in KG-1 cells (P<0.01),while the expression of Caspase 6 was weakly affected (P<0.05 ),but low concentration of Curcumol (<60 μg/ml)had no effect on the expression of Caspase 6 in KG-1 cells (P>0.05).Conclusion:Curcumol may mediate the programmed death of AML cells by inhibiting the PI3K/AKT signaling pathway,affecting the expression of Bcl-2 family proteins,and promoting the activation of core members of Caspase family,so as to play an anti-leukemia role.

Important forensic diagnostic indicators of sudden death in coronary atherosclerotic heart dis-ease,such as acute or chronic myocardial ischemic changes,sometimes make it difficult to locate the ischemic site due to the short death process,the lack of tissue reaction time.In some cases,the de-ceased died of sudden death on the first-episode,resulting in difficulty for medical examiners to make an accurate diagnosis.However,clinical studies on coronary instability plaque revealed the key role of coronary spasm and thrombosis caused by their lesions in sudden coronary death process.This paper mainly summarizes the pathological characteristics of unstable coronary plaque based on clinical medi-cal research,including plaque rupture,plaque erosion and calcified nodules,as well as the influencing factors leading to plaque instability,and briefly describes the research progress and technique of the atherosclerotic plaques,in order to improve the study on the mechanism of sudden coronary death and improve the accuracy of the forensic diagnosis of sudden coronary death by diagnosing different patho-logic states of coronary atherosclerotic plaques.

Objective To evaluate the efficacy and safety of brexpiprazole in treating acute schizophrenia.Methods Patients with schizophrenia were randomly divided into treatment group and control group.The treatment group was given brexpiprozole 2-4 mg·d-1 orally and the control group was given aripiprazole 10-20 mg·d-1orally,both were treated for 6 weeks.Clinical efficacy of the two groups,the response rate at endpoint,the changes from baseline to endpoint of Positive and Negative Syndrome Scale(PANSS),Clinical Global Impression-Improvement(CGI-S),Personal and Social Performance scale(PSP),PANSS Positive syndrome subscale,PANSS negative syndrome subscale were compared.The incidence of treatment-related adverse events in two groups were compared.Results There were 184 patients in treatment group and 186 patients in control group.After treatment,the response rates of treatment group and control group were 79.50％(140 cases/184 cases)and 82.40％(150 cases/186 cases),the scores of CGI-I of treatment group and control group were(2.00±1.20)and(1.90±1.01),with no significant difference(all P＞0.05).From baseline to Week 6,the mean change of PANSS total score wese(-30.70±16.96)points in treatment group and(-32.20±17.00)points in control group,with no significant difference(P＞0.05).The changes of CGI-S scores in treatment group and control group were(-2.00±1.27)and(-1.90±1.22)points,PSP scores were(18.80±14.77)and(19.20±14.55)points,PANSS positive syndrome scores were(-10.30±5.93)and(-10.80±5.81)points,PANSS negative syndrome scores were(-6.80±5.98)and(-7.30±5.15)points,with no significant difference(P＞0.05).There was no significant difference in the incidence of treatment-related adverse events between the two group(69.00％vs.64.50％,P＞0.05).Conclusion The non-inferiority of Brexpiprazole to aripiprazole was established,with comparable efficacy and acceptability.

Objective:This study aims to explore the predictive value of T2-weighted imaging (T2WI), apparent diffusion coefficient (ADC), and early-delayed phases enhanced magnetic resonance imaging (DCE-MRI) radiomics prediction model in determining human epidermal growth factor receptor 2 status in breast cancer.Methods:A retrospective study was conducted, involving 187 patients with confirmed breast cancer by postsurgical pathology at Zhenjiang First People's Hospital during January 2021 and May 2023. Immunohistochemistry or fluorescence in situ hybridization was used to determine the HER-2 status of these patients, with 48 cases classified as HER-2 positive and 139 cases as HER-2 negative. The training set was used to construct the prediction models and the validation set was used to verify the prediction models. Layers of T2WI, ADC, and early-delayed phase DCE-MRI images were used to delineate the volumeof interest and 960 radiomic features were extracted from each case using Pyradiomic. After screening and dimensionality reduction by intraclass correlation coefficient, Pearson correlation analysis, least absolute shrinkage, and selection operator, the radiomics labels were established. Logistic regression analysis was used to construct the T2WI radiomics model, ADC radiomics model, DCE-2 radiomics model, DCE-6 radiomics model, and the joint sequence radiomics model to predict the HER-2 expression status of breast cancer, respectively. Based on the clinical, pathological, and MRI image characteristics of patients, univariate and multivariate logistic regression analysis wasused to construct a clinicopathological MRI feature model. The radscore of every patient and the clinicopathological MRI features which were statistically significant after screening were used to construct a nomogram model. The receiver operating characteristic (ROC) curve was used to evaluate the predictive performance of each model and the decision curve analysis wasused to evaluate the clinical usefulness.Results:The T2WI, ADC, DCE-2, DCE-6, and joint sequence radiomics models, the clinicopathological MRI feature model, and the nomogram model were successfully constructed to predict the expression status of HER-2 in breast cancer. ROC analysis showed that in the training set and validation set, the areas under the curve (AUC) of the T2WI radiomics model were 0.797 and 0.760, of the ADC radiomics model were 0.776 and 0.634, of the DCE-2 radiomics model were 0.804 and 0.759, of the DCE-6 radiomics model were 0.869 and 0.798, of the combined sequence radiomics model were 0.908 and 0.847, of the clinicopathological MRI feature model were 0.703 and 0.693, and of the nomogram model were 0.938 and 0.859, respectively. In the training set, the combined sequence radiomics model outperformed the clinicopathological features model ( P＜0.001). In the training and validation sets, the nomogram outperformed the clinicopathological features model ( P＜0.05). In addition, the diagnostic performance of the nomogram was better than that of the four single-modality radiomics models in the training cohort ( P＜0.05) and was better than that of DCE-2 and ADC models in the validation cohort ( P＜0.05). Decision curve analysis indicated that the value of individualized prediction models was higher than clinical and pathological prediction models in clinical practice. The calibration curve showed that the multimodal radiomics model had a high consistency with the actual results in predicting HER-2 expression. Conclusions:T2WI, ADC and early-delayed phase DCE-MRI imaging histology models for HER-2 expression status in breast cancer are expected to provide a non-invasive virtual pathological basis for decision-making on preoperative neoadjuvant regimens in breast cancer.

Objective:This study aims to explore the predictive value of T2-weighted imaging (T2WI), apparent diffusion coefficient (ADC), and early-delayed phases enhanced magnetic resonance imaging (DCE-MRI) radiomics prediction model in determining human epidermal growth factor receptor 2 status in breast cancer.Methods:A retrospective study was conducted, involving 187 patients with confirmed breast cancer by postsurgical pathology at Zhenjiang First People's Hospital during January 2021 and May 2023. Immunohistochemistry or fluorescence in situ hybridization was used to determine the HER-2 status of these patients, with 48 cases classified as HER-2 positive and 139 cases as HER-2 negative. The training set was used to construct the prediction models and the validation set was used to verify the prediction models. Layers of T2WI, ADC, and early-delayed phase DCE-MRI images were used to delineate the volumeof interest and 960 radiomic features were extracted from each case using Pyradiomic. After screening and dimensionality reduction by intraclass correlation coefficient, Pearson correlation analysis, least absolute shrinkage, and selection operator, the radiomics labels were established. Logistic regression analysis was used to construct the T2WI radiomics model, ADC radiomics model, DCE-2 radiomics model, DCE-6 radiomics model, and the joint sequence radiomics model to predict the HER-2 expression status of breast cancer, respectively. Based on the clinical, pathological, and MRI image characteristics of patients, univariate and multivariate logistic regression analysis wasused to construct a clinicopathological MRI feature model. The radscore of every patient and the clinicopathological MRI features which were statistically significant after screening were used to construct a nomogram model. The receiver operating characteristic (ROC) curve was used to evaluate the predictive performance of each model and the decision curve analysis wasused to evaluate the clinical usefulness.Results:The T2WI, ADC, DCE-2, DCE-6, and joint sequence radiomics models, the clinicopathological MRI feature model, and the nomogram model were successfully constructed to predict the expression status of HER-2 in breast cancer. ROC analysis showed that in the training set and validation set, the areas under the curve (AUC) of the T2WI radiomics model were 0.797 and 0.760, of the ADC radiomics model were 0.776 and 0.634, of the DCE-2 radiomics model were 0.804 and 0.759, of the DCE-6 radiomics model were 0.869 and 0.798, of the combined sequence radiomics model were 0.908 and 0.847, of the clinicopathological MRI feature model were 0.703 and 0.693, and of the nomogram model were 0.938 and 0.859, respectively. In the training set, the combined sequence radiomics model outperformed the clinicopathological features model ( P＜0.001). In the training and validation sets, the nomogram outperformed the clinicopathological features model ( P＜0.05). In addition, the diagnostic performance of the nomogram was better than that of the four single-modality radiomics models in the training cohort ( P＜0.05) and was better than that of DCE-2 and ADC models in the validation cohort ( P＜0.05). Decision curve analysis indicated that the value of individualized prediction models was higher than clinical and pathological prediction models in clinical practice. The calibration curve showed that the multimodal radiomics model had a high consistency with the actual results in predicting HER-2 expression. Conclusions:T2WI, ADC and early-delayed phase DCE-MRI imaging histology models for HER-2 expression status in breast cancer are expected to provide a non-invasive virtual pathological basis for decision-making on preoperative neoadjuvant regimens in breast cancer.

OBJECTIVE: To observe the effect of Shugan Tiaoshen acupuncture (acupuncture for soothing the liver and regulating the mentality) combined with western medication on depression and sleep quality in the patients with depression-insomnia comorbidity due to COVID-19 quarantine, and investigate the potential mechanism from the perspective of cortical excitability. METHODS: Sixty patients with depression-insomnia comorbidity due to COVID-19 quarantine were randomly divided into an acupuncture group and a sham-acupuncture group, 30 cases in each one. The patients of both groups were treated with oral administration of sertraline hydrochloride tablets. In the acupuncture group, Shugan Tiaoshen acupuncture was supplemented. Body acupuncture was applied to Yintang (GV 24⁺), Baihui (GV 20), Hegu (LI 4), Zhaohai (KI 6), Qihai (CV 6), etc. The intradermal needling was used at Xin (CO₁₅), Gan (CO₁₂) and Shen (CO₁₀). In the sham-acupuncture group, the sham-acupuncture was given at the same points as the acupuncture group. The compensatory treatment was provided at the end of follow-up for the patients in the sham-acupuncture group. In both groups, the treatment was given once every two days, 3 times a week, for consecutive 8 weeks. The self-rating depression scale (SDS) and insomnia severity index (ISI) scores were compared between the two groups before and after treatment and 1 month after the end of treatment (follow-up) separately. The cortical excitability indexes (resting motor threshold [rMT], motor evoked potential amplitude [MEP-A], cortical resting period [CSP]) and the level of serum 5-hydroxytryptamine (5-HT) were measured before and after treatment in the two groups. RESULTS: After treatment and in follow-up, SDS and ISI scores were decreased in both groups compared with those before treatment (P<0.05), and the scores in the acupuncture group were lower than those in the sham-acupuncture group (P<0.05), and the decrease range in the acupuncture group after treatment was larger than that in the sham-acupuncture group (P<0.05). After treatment, rMT was reduced (P<0.05), while MEP-A and CSP were increased (P<0.05) in the acupuncture group compared with that before treatment. The levels of serum 5-HT in both groups were increased compared with those before treatment (P<0.05). The rMT in the acupuncture group was lower than that in the sham-acupuncture group, while MEP-A and CSP, as well as the level of serum 5-HT were higher in the acupuncture group in comparison with the sham-acupuncture group (P<0.05). CONCLUSION Shugan Tiaoshen acupuncture combined with western medication can relieve depression and improve sleep quality in the patients with depression-insomnia comorbidity due to COVID-19 quarantine, which is probably related to rectifying the imbalanced excitatory and inhibitory neuronal functions.
Humans ; Depression ; Quarantine ; Serotonin ; Sleep Initiation and Maintenance Disorders ; COVID-19 ; Acupuncture Therapy ; Comorbidity

To compare the pancreatic proteomics and autophagy between Rehmanniae Radix-and Rehmanniae Radix Praeparata-treated mice with type 2 diabetes mellitus(T2DM). The T2DM mouse model was established by high-fat diet coupled with streptozotocin(STZ, intraperitoneal injection, 100 mg·kg~(-1), once a day for three consecutive days). The mice were then randomly assigned into a control group, low-(5 g·kg~(-1)) and high-dose(15 g·kg~(-1)) Rehmanniae Radix groups, low-(150 mg·kg~(-1)) and high-dose(300 mg·kg~(-1)) catalpol groups, low-(5 g·kg~(-1)) and high-dose(15 g·kg~(-1)) Rehmanniae Radix Praeparata groups, low-(150 mg·kg~(-1)) and high-dose(300 mg·kg~(-1)) 5-hydroxymethyl furfuraldehyde(5-HMF) groups, and a metformin(250 mg·kg~(-1)) group. In addition, a normal group was also set and each group included 8 mice. The pancreas was collected after four weeks of administration and proteomics tools were employed to study the effects of Rehmanniae Radix and Rehmanniae Radix Praeparata on protein expression in the pancreas of T2DM mice. The expression levels of proteins involved in autophagy, inflammation, and oxidative stress response in the pancreatic tissues of T2DM mice were determined by western blotting, immunohistochemical assay, and transmission electron microscopy. The results showed that the differential proteins between the model group and Rehmanniae Radix/Rehmanniae Radix Prae-parata group were enriched in 7 KEGG pathways, such as autophagy-animal, which indicated that the 7 pathways may be associated with T2DM. Compared with the control group, drug administration significantly up-regulated the expression levels of beclin1 and phosphorylated mammalian target of rapamycin(p-mTOR)/mTOR and down-regulated those of the inflammation indicators, Toll-like receptor-4(TLR4) and Nod-like receptor protein 3(NLRP3), in the pancreas of T2DM mice, and Rehmanniae Radix showed better performance. In addition, the expression levels of inducible nitric oxide synthase(iNOS), nuclear factor erythroid 2-related factor 2(Nrf2), and heine oxygenase-1(HO-1) in the pancreas of T2DM mice were down-regulated after drug administration, and Rehmanniae Radix Praeparata demonstrated better performance. The results indicate that both Rehmanniae Radix and Rehmanniae Radix Praeparata can alleviate the inflammatory symptoms, reduce oxidative stress response, and increase the autophagy level in the pancreas of T2DM mice, while they exert the effect on different autophagy pathways.
Mice ; Animals ; Diabetes Mellitus, Type 2/genetics* ; Streptozocin/pharmacology* ; Diet, High-Fat/adverse effects* ; Proteomics ; Inflammation ; TOR Serine-Threonine Kinases ; Autophagy ; Mammals

Objective:To investigate the application effect of functional acupoint electrical stimulation combined with tadara irreg-ular administration in middle-aged and elderly patients with erectile dysfunction(ED),and to provide reference for clinical treatment.Methods:A total of 40 middle-aged and elderly patients with ED admitted to the pelvic floor Center of our hospital from March 2021 to March 2023 were randomly divided into two groups with 20 cases in each group.The control group was treated with tadalafil regular-ly,and the observation group was treated with functional acupoint electrical stimulation on the basis of this treatment.The total course of treatment was 6 weeks.The clinical efficacy of the two groups was compared.The therapeutic efficacy was evaluated by the Interna-tional Erectile Function Index(IIEF-5),penile hardness score(EHS),serum total testosterone(TT)level,sexual satisfaction scale(SS)and pelvic floor electromyography,and the occurrence of adverse events was recorded.Results:The total effective rate of the observation group was significantly higher than that of the control group(90％vs 70％,P＜0.05).After 6 weeks of treatment,both groups showed improvements in IIEF-5,EHS,SS,and TT compared to before treatment(P＜0.01).However,the improvement in the observation group was significantly better than that in the control group[IIEF-5:(22.13±2.11)vs(19.69±2.04),EHS:(3.68 ±0.47)vs(2.89±0.60),SS:(77.41±7.59)vs(70.32±7.28),TT:(13.43±3.89)nmol/L vs(8.85±3.02)nmol/L,all P＜0.01];There were no significant changes in pelvic floor muscle electromyography values in the control group before and after treatment(P＞0.05),while in the observation group,pelvic floor muscle electromyography values(PFMV)in the pre-resting phase,fast muscle(Type Ⅱ muscle)phase,slow muscle(Type I muscle)phase,endurance testing phase,and post-resting phase all improved compared to before treatment and were superior to the control group(P＜0.05).Conclusion:Functional acupoint electri-cal stimulation combined with tadara irregular administration can improve the therapeutic effect of middle-aged and elderly patients with ED,improve pelvic floor function,safe and reliable.

Aim To study the effects of lentinan(LNT)on the metabolism of dendritic cells(DCs)by metabonomics, and uncover the potential mechanism of its regulation of DC function. Methods DC2.4 cells were co-incubated with LNT for 24 h, and the activity of the cells was detected by thiazolyl blue tetrazolium bromide(MTT)assay. The contents of interleukin-6(IL-6), tumor necrosis factorα(TNF-α)and interleukin-12(IL-12)in supernatant were detected by enzyme-linked immunosorbent assay(ELISA). The metabolic general changes of DC2.4 cells were detected by Ultra performance liquid chromatography-quadrupole time-of-flight mass spectrometry(UPLC-QTOF/MS), and the differential metabolites were analyzed by multi-distance covariates and bioinformatics, partial least squares-discriminant analysis(PLS-DA). Finally, metabolic pathway analysis was performed by MetaboAnalyst 5.0. Results LNT did not significantly inhibit the activity of DC2.4 cells at the dose of 25100 mg·L-1. LNT(100 mg·L-1)could significantly stimulate the secretion of IL-6, TNF-α and IL-12 in DC2.4 cells. 20 differential metabolites were identified in DC2.4 cells after being stimulated by LNT(100 mg·L-1), which involved 25 metabolic pathways including urea cycle, arginine and proline metabolism. Conclusion The regulation of LNT on DC function involves a variety of amino acid metabolism.