Parkinson's disease is a neurodegenerative disease that mostly occurs in middle-aged and elderly people. It is characterized by progressive loss of dopaminergic neurons in the substantia nigra and aggregation of Lewy bodies, resulting in a series of motor symptoms and non-motor symptoms. Depression is the most important manifestation of non-motor symptoms, which seriously affects the quality of life of patients. Clinicians often use antidepressant drugs to improve the depressive symptoms of patients with Parkinson 's disease, but it is still urgent to solve the problems of drug side effects and drug resistance caused by such methods. Repetitive transcranial magnetic stimulation is a safe and non-invasive neuromodulation technique that can change the excitability of the corticospinal tract, induce the release of dopamine and other neurotransmitters, and further improve the depressive symptoms of patients with Parkinson 's disease. Based on this, this paper discusses and summarizes the research progress on the efficacy and potential mechanism of repetitive transcranial magnetic stimulation for improving depression in Parkinson 's disease at home and abroad, in order to provide reference for related clinical application research.
Humans ; Parkinson Disease/psychology* ; Transcranial Magnetic Stimulation/methods* ; Depression/etiology*

Gastric cancer with peritoneal metastasis (GCPM) is a common and lethal manifestation of advanced gastric cancer, with a median survival of only 5-11 months. This consensus was developed by 30 experts from Asia (China, Japan, Korea, and Singapore) using the Delphi method and the GRADE evidence grading system. A total of 29 statements were formulated, covering the diagnosis and assessment of GCPM, indications for laparoscopic exploration and NIPS (normothermic intraperitoneal and systemic treatment), treatment regimens, prevention and management of complications, criteria for conversion surgery, and postoperative intraperitoneal therapy. The consensus aims to standardize clinical practice and improve the prognosis of patients with GCPM.

Female reproductive system diseases,such as premature ovarian insufficiency(POI),premature ovarian failure(POF),polycystic ovary syndrome(PCOS),intrauterine adhesions(IUA),ulterus scar diverticulum,salpingitis,and tubal obstruction,may induce infertility,severely impacting patients'physical and mental health and quality of life.Currently,the umbilical cord mesenchymal stem cells(UCMSCs)have emerged as a research focus in gynecological and obstetric fields,demonstrating significant therapeutic potential for female reproductive system disorders.UCMSCs secrete various cytokines,activate relevant signaling pathways and key molecules,reduce inflammation mediators and oxidative stress,and prevent excessive cellular damage and apoptosis,thereby achieving therapeutic effects.In recent years,extensive studies have explored the therapeutic effects of UCMSCs on female reproductive system diseases.This article review the current in vitro and in vivo research progress in UCMSCs for treating female reproductive system diseases,aiming to provide the novel strategies and directions for future research and clinical applications.

[This corrects the article DOI: 10.1016/j.apsb.2022.05.019.].

Objective This study aimed to investigate the antimicrobial resistance profiles of bacterial strains isolated from pediatric intensive care units(PICU)in China for better antimicrobial therapy.Methods Clinical isolates were collected from 17 institutions,including tertiary care children's hospitals and pediatric department of tertiary general hospitals in China from January 1,2020 to December 31,2022.Antimicrobial susceptibility testing was carried out according to a unified protocol using Kirby-Bauer method or automated systems.Results were interpreted according to the breakpoints released by the Clinical and Laboratory Standards Institute(CLSI)in 2020.Results A total of 10 688 isolates were collected,including gram-positive organisms(39.2％)and gram-negative organisms(60.8％).The top three organisms were S.aureus(13.6％,1 453/10 688),A.baumannii(10.0％,1 067/10 688),and coagulase-negative Staphylococcus(9.9％,1 058/10 688).Multi-drug resistant organisms(MDROs)were very common in children.The prevalence of methicillin-resistant Staphylococcus aureus(MRSA),carbapenem-resistant Enterobacterales(CRE),carbapenem-resistant E.coli,carbapenem-resistant K.pneumoniae(CRKP),carbapenem-resistant A.baumannii(CRAB),and carbapenem-resistant P.aeruginosa(CRPA)was 41.1％,19.4％,8.8％,30.9％,67.4％,and 28.8％,respectively.Overall,more than 50％of Enterobacteriales isolates were resistant to cephalosporins,while nearly 25％of Enterobacteriales isolates were resistant to carbapenems.MDROs were highly resistant to commonly used antibiotics.More than 80％of CRE and CRAB strains were resistant to all beta-lactam antibiotics.CRE and CRAB showed low resistance rates to tigecycline and polymyxin.CRPA showed lower resistance rates to piperacillin,beta-lactamase inhibitor combinations than the resistance rates to third and fourth generation cephalosporins.All of the Staphylococcus and Enterococcus isolates were susceptible to vancomycin and tigecycline.None of PRSP strains isolated from meningitis and nonmeningitis samples were resistant to rifampicin,vancomycin,or linezolid.The prevalence of β-lactamase-negative ampicillin-resistant(BLNAR)strains was 43.3％in Haemophilus influenzae.Conclusions MDROs were prevalent in PICU.It is necessary to establish an effective multidisciplinary team(MDT)to control the antimicrobial resistance.

Objective:To establish a protocol for virus isolation using the mixed method, and evaluate the efficacy of the suspended method and the mixed method in isolating herpes simplex virus (HSV).Methods:Simulated HSV-infected clinical samples were prepared using HSV-1 F strain and CDC-P1 strain. Both the suspended method and the mixed method were used to isolate HSV-1 from these samples. The virus isolation efficiency of the mixed method under various conditions was assessed. These conditions included different multiplicity of infection (MOI), cell seeding densities, and virus adsorption times.The 50% tissue culture infective dose (TCID 50) assay was used for the assessment. The positive rates of virus detection under low viral load conditions were compared between the two methods. Results:Under the conditions of a MOI of 0.005, a virus adsorption time of 15 min, and a cell seeding density of 1×10 6 cell/ml, the mixed method achieved effective isolation of HSV-1. When the virus titer of the sample was 100 TCID 50/ml, the positivity rate of the mixed method reached 100.0%, while the positivity rates of the suspended method were 50.7% (38/75) and 52.0% (39/75) after cultured for 72 h and 96 h, respectively. When the virus titer of the sample was 10 TCID 50/ml, the positivity rate of the mixed method was 100.0%, while the positivity rate of the suspension method was 0. Conclusions:The mixed method exhibits significantly higher efficiency in HSV isolation compared with the suspended method. Under the conditions of high viral load, both the suspended method and the mixed method can be effective in isolating HSV-1. For clinical samples with low viral loads, the mixed method has greater applicability.

Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.

Objective To construct an enhancer-based prognostic risk prediction model for non-small cell lung cancer (NSCLC) by integrating DNA methylome data and transcriptome data. Methods The weighted gene co-expression network analysis (WGCNA) was used to identify NSCLC related genes from the differentially methylated positions (DMPs) of enhancers. Based on the transcriptome data,the prognostic risk prediction model was constructed using LASSO-Cox regression algorithm. Results Through the analysis on DNA methylome data of NSCLC,19784 DMPs were obtained and their distribution patterns were characterized,including 6089 DMPs of enhancers. WGCNA analysis screened 79 highly correlated DMPs of enhancer with NSCLC from the 6089 DMPs. After analyzing the target genes of 79 DMPs with LASSO-Cox regression based on the transcriptome data,10 genes were used to construct a prognostic risk prediction model. The prognostic risk prediction model was evaluated by calculating the areas under the curve (AUC) of 3-,5-,and 10-year time-dependent receiver operating characteristic (ROC) curves in training set and validation set;and the results showed that the 3-,5-,and 10-year AUC in training set and validation set were all higher than 0.7. Finally,a nomogram was constructed to predict the 3-,5-,and 10-year survival probabilities of NSCLC. Conclusion This study provides new insights into the role of enhancers in NSCLC and has the potential to improve the prognosis by guiding personalized treatment decisions.

Objective To construct an enhancer-based prognostic risk prediction model for non-small cell lung cancer (NSCLC) by integrating DNA methylome data and transcriptome data. Methods The weighted gene co-expression network analysis (WGCNA) was used to identify NSCLC related genes from the differentially methylated positions (DMPs) of enhancers. Based on the transcriptome data,the prognostic risk prediction model was constructed using LASSO-Cox regression algorithm. Results Through the analysis on DNA methylome data of NSCLC,19784 DMPs were obtained and their distribution patterns were characterized,including 6089 DMPs of enhancers. WGCNA analysis screened 79 highly correlated DMPs of enhancer with NSCLC from the 6089 DMPs. After analyzing the target genes of 79 DMPs with LASSO-Cox regression based on the transcriptome data,10 genes were used to construct a prognostic risk prediction model. The prognostic risk prediction model was evaluated by calculating the areas under the curve (AUC) of 3-,5-,and 10-year time-dependent receiver operating characteristic (ROC) curves in training set and validation set;and the results showed that the 3-,5-,and 10-year AUC in training set and validation set were all higher than 0.7. Finally,a nomogram was constructed to predict the 3-,5-,and 10-year survival probabilities of NSCLC. Conclusion This study provides new insights into the role of enhancers in NSCLC and has the potential to improve the prognosis by guiding personalized treatment decisions.

Objective:To establish a protocol for virus isolation using the mixed method, and evaluate the efficacy of the suspended method and the mixed method in isolating herpes simplex virus (HSV).Methods:Simulated HSV-infected clinical samples were prepared using HSV-1 F strain and CDC-P1 strain. Both the suspended method and the mixed method were used to isolate HSV-1 from these samples. The virus isolation efficiency of the mixed method under various conditions was assessed. These conditions included different multiplicity of infection (MOI), cell seeding densities, and virus adsorption times.The 50% tissue culture infective dose (TCID 50) assay was used for the assessment. The positive rates of virus detection under low viral load conditions were compared between the two methods. Results:Under the conditions of a MOI of 0.005, a virus adsorption time of 15 min, and a cell seeding density of 1×10 6 cell/ml, the mixed method achieved effective isolation of HSV-1. When the virus titer of the sample was 100 TCID 50/ml, the positivity rate of the mixed method reached 100.0%, while the positivity rates of the suspended method were 50.7% (38/75) and 52.0% (39/75) after cultured for 72 h and 96 h, respectively. When the virus titer of the sample was 10 TCID 50/ml, the positivity rate of the mixed method was 100.0%, while the positivity rate of the suspension method was 0. Conclusions:The mixed method exhibits significantly higher efficiency in HSV isolation compared with the suspended method. Under the conditions of high viral load, both the suspended method and the mixed method can be effective in isolating HSV-1. For clinical samples with low viral loads, the mixed method has greater applicability.