Objective To compare the clinical outcomes of subxiphoid robot-assisted thoracoscopic surgery (SRATS) and intercostal robot-assisted thoracoscopic surgery (IRATS) in the treatment of anterior mediastinal tumors. Methods A retrospective analysis was conducted on patients with anterior mediastinal tumors who underwent robot-assisted surgery in the Department of Thoracic Surgery, Gansu Provincial Hospital, from May 2020 to July 2022. According to the surgical approach, patients were divided into an SRATS group and an IRATS group. Perioperative data were compared between the two groups. Results A total of 87 patients were included. There were 41 patients in the SRATS group [23 males, 18 females; mean age, (44.51±11.28) years] and 46 patients in the IRATS group [21 males, 25 females; mean age, (46.67±8.76) years]. Compared with the IRATS group, the SRATS group had significantly less intraoperative blood loss [(24.41±6.67) mL vs. (37.93±9.23) mL, P<0.001], shorter postoperative drainage duration [(1.73±0.59) days vs. (2.54±0.50) days, P<0.001], lower postoperative drainage volume [(94.46±34.08) mLvs. (116.72±24.90) mL, P=0.001], lower visual analogue scale (VAS) pain scores on postoperative day 1 [(3.66±0.76) points vs. (4.15±0.84) points, P=0.005] and day 3 [(2.41±0.59) points vs. (2.89±0.82) points, P=0.003], shorter postoperative hospital stay [(4.12±0.81) days vs. (4.98±1.02) days, P<0.001], and lower hospitalization costs [(4.51±0.65) ten thousand yuan vs. (4.86±0.68) ten thousand yuan, P=0.020]. There were no statistical differences between the two groups in operative time or incidence of postoperative complications (P>0.05). Conclusion Both SRATS and IRATS are safe and effective for the treatment of anterior mediastinal tumors. However, SRATS is less invasive and more conducive to enhanced postoperative recovery.

In the YY 0989.3-2023 standard, clause 27.106 specifies the protection test against electromagnetic interference, but it only briefly describes the test level for electromagnetic exposure, and does not detail the parameters of the torso. This study aims to explore the internal field distribution for different torso parameters under electromagnetic exposure, and explore the patterns of field distribution through modeling and simulation. The results indicate that the parameters of the torso significantly affect the internal field distribution. The findings of this study provide a basis and reference for the electromagnetic compatibility test for implantable neurostimulator products.
Electromagnetic Fields ; Implantable Neurostimulators ; Computer Simulation

Genetic transformation is a fundamental tool in molecular biology research of medicinal plants. Tailoring transgenic technologies to each distinct medicinal plant would necessitate a substantial investment of time and effort. Here, we present a simple hairy root transformation method that does not require sterile conditions, utilizing Agrobacterium rhizogenes strain K599 and the visible RUBY reporter system. Transgenic hairy roots were obtained for six tested medicinal plant species, roots or rhizomes of which have recognized medicinal value, spanning four botanical families and six genera (Platycodon grandiflorus, Atractylodes macrocephala, Scutellaria baicalensis, Codonopsis pilosula, Astragalus membranaceus, and Glycyrrhiza uralensis). Furthermore, two previously identified Glycyrrhiza uralensis UGTs that convert liquiritigenin into liquiritin in heterologous systems were studied in planta using the method. Our results indicate that overexpression of GuUGT1 but not GuUGT10 and Cas9-mediated knockout of GuUGT1 profoundly influenced the accumulation of liquiritin and isoliquiritin in licorice roots. Therefore, the method described here represents a simple, rapid and widely applicable hairy root transformation method that enables fast gene functional study in medicinal plants.

Objective:To explore the causal association between insulin-like growth factor-1(IGF-1)and colorectal cancer(CRC)based on two sample Mendelian randomization(MR)analysis.Methods:A bidirectional two sample MR analysis was conducted based on publicly aggregated data from the IEU OpenGWAS project.The inverse variance weighted(IVW)method was used as the main analysis model to assess the causal relationship between IGF-1 and CRC.Additional analyses were performed using weighted median(WM),MR-Egger regression,weighted mode estimator(WME),and simple mode(SM)methods.Sensitivity analysis was performed to assess the robustness of the results.Results:A total of 386 single nucleotide polymorphisms(SNPs)were selected as instrumental variables(IVs)with IGF-1 as the exposure factor.The MR analysis results revealed a positive causal association between IGF-1 and the risk of CRC[odds ratio(OR)=1.178,95％confidence interval(CI):1.092-1.272)](P＜0.001),and the association remained significant after adjusting for height[OR(95％CI)=1.214(1.111,1.327)](P＜0.001).Cochran's Q-test showed heterogeneity among the IVs(P＜0.05),while the horizontal pleiotropy of IV was not detected by the MR-Egger regression(P＞0.05).The leave-one-out analysis showed that the MR results were robust.Reverse MR analysis indicated no reverse causal relationship between IGF-1 and CRC[OR(95％CI):1.017(0.997,1.037)](P=0.103).Conclusion:There is a causal relationship between IGF-1 level and CRC,and elevated IGF-1 level could be a risk factor for CRC.

Objective:To conduct bioinformatics analysis by detecting and screening differentially expressed miRNAs in urine exosomes of subjects with damp heat IgA nephropathy, non damp heat IgA nephropathy, and healthy individuals; To explore the role of miRNAs in renal tubulointerstitial fibrosis.Methods:A cross-sectional study was conducted to select 40 subjects with primary IgA nephropathy diagnosed by renal biopsy in the Department of Traditional Chinese Medicine, Zhujiang Hospital of Southern Medical University from November 2021 to February 2023, who were divided into damp-heat group and non-damp-heat group according to TCM constitution, with 20 cases in each group; 10 healthy subjects were also recruited for control observation.High-speed centrifugation and Illumina high-throughput sequencing technology were used to isolate and detect the expression of miRNA in urine exosomes from three groups of people, and their differential expression profiles were constructed. Bioinformatics analysis was performed on differentially expressed genes to determine the main biological functions of differentially expressed miRNAs and the signaling pathways they may participate in.Results:Compared with the non-damp heat group, there were 231 miRNAs with abnormal expression in the urine exosomes of the damp heat group, including 119 up-regulated and 112 down-regulated. Through GO enrichment and KEGG analysis, differentially expressed miRNAs may participate in the occurrence and development of renal tubulointerstitial fibrosis through MAPK signaling pathway, PI3K Akt signaling pathway, Hippo signaling pathway, Ras signaling pathway, Wnt signaling pathway, mTOR signaling pathway, etc., involving biological processes such as cell proliferation, apoptosis, cell deformation (EMT), migration and invasion, and tissue and organ fibrosis. MiR-29c-3p expression levels in the urinary exosome miRNA expression profiles of subjects in the three groups were lower in the damp-heat group, but higher in the non-damp-heat group versus the healthy control group, of which, the damp-heat group was lower than the non-damp-heat group versus the healthy control group ( P<0.01); there was no significant difference between the healthy control group and the non-damp-heat group ( P>0.05）. Conclusion:The expression profile of miRNAs in the urine exosomes of subjects with damp heat IgA nephropathy showed significant changes,that the significant down-regulation of miR-29c-3p may be a key factor in exacerbating tubulointerstitial fibrosis in IgA nephropathy.

Objective To investigate the transcriptome differences of ovarian cancer cells after cisplatin(DDP)resistance,and to find potential antagonists based on this screening.Methods DDP-resistant cell line A2780-DDP was constructed with A2780 cells as the research object.Through transcriptome sequencing anal-ysis,the key factors of DDP resistance were found and verified by quantitative real-time PCR(qPCR)and Western blot experiments.Through the screening of small molecule inhibitors,CCK-8 cell viability assay was used to find potential antagonists.Results A2780-DDP were successfully constructed,and it was found that there was no difference in cell proliferation after drug resistance,but the ability of cell invasion and migration was enhanced.Through transcriptome sequencing analysis,it was found that ITGB7 and Akt may be the key genes of A2780-DDP,and qPCR and Western blot showed that they were highly expressed in A2780-DDP.CCK-8 results showed that triptolide(TPL)and Olaparib had good inhibitory effects in DDP-resistant cell lines.Conclusion The ITGB7/Akt pathway plays an important role in DDP resistance,and potential DDP re-sistance antagonists such as TPL can provide new ideas for the treatment of ovarian cancer.

Objective　To understand the trends of serum lipid concentration and the prevalence of dyslipidemia in adults aged 35 years and older, and to compare the regional differences in lipids. Methods　Based on the data of Anhui Province in the Early Screening and Comprehensive Intervention Project for High-risk Groups of Cardiovascular Disease in China from 2017 to 2021, the change trend of blood lipid level and the prevalence rate of each region were plotted according to the year and different regions in the province, and the influencing factors of dyslipidemia were analyzed by multivariate regression model. Results　The overall average levels of total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), and non-high-density lipoprotein cholesterol (non-HDL-C) demonstrated an increase followed by a slight decrease with age annually, while the levels of high-density lipoprotein cholesterol (HDL-C) and triglycerides (TG) fluctuated minimally. From 2017 to 2020, TC levels improved annually but increased again in 2021. Similar to TG and non-HDL-C, the average LDL-C level decreased annually from 2017 to 2019, while rebounded in 2020 and 2021 compared with the previous three years. In contrast, the HDL-C level continued to decline. With the exception of HDL-C, the overall blood lipid levels in the northern Anhui (n=31 716) were higher than those in the southern Anhui (n=50 681), and the lowest levels were found in the central Anhui (n=38 246). The prevalence of hypercholesterolemia (7.400%, 2 347/31 716), high LDL-C (5.228%, 1 658/31 716), low HDL-C (9.935%, 3 151/31 716), hypertriglyceridemia (18.212%, 5 776/31 716), and high non-HDL-C (5.789%, 1 836/31 716) were highest in the northern Anhui. Age, region, senior high school or above, smoking, drinking, systolic blood pressure, blood glucose, and body mass index were independent factors for dyslipidemia (P<0.05). Conclusion　The blood lipid level and prevalence of dyslipidemia in adults aged ≥35 years in Anhui Province have not yet reached an ideal control level, especially in the northern part of Anhui Province where there is a need for enhanced awareness and timely intervention measures for lipid-related diseases to effectively extend the life expectancy of residents.

Thyroid carcinoma is closely related to environmental factors. Gene mutations and molecular biological changes of gland tissue caused by environmental changes are important factors inducing thyroid carcinoma. Although the molecular mechanism of thyroid carcinoma has not been fully elucidated,increasingly specific genetic changes and molecular markers for thyroid carcinoma have been discovered with the development of molecular biology techniques. This article reviews the recent progresses on the etiology,specific molecular markers,diagnosis and targeted therapies of thyroid carcinoma,so as to provide theoretical support for the clinical diagnosis and treatment of thyroid carcinoma.

Objective To analyze the diagnostic value of systemic immune inflammation index(SII)and systemic inflammation response index(SIRI)in rheumatoid arthritis(RA).Methods A total of 470 RA pa-tients diagnosed in the hospital from January to December 2023 were selected.According to the results of anti-cyclic citrullinated peptide(anti-CCP)antibody and rheumatoid factor(RF),RA was divided into four groups:anti-CCP antibody and RF negative group(52 cases),anti-CCP antibody positive RF negative group(70 cases),anti-CCP antibody negative RF positive group(18 cases),anti-CCP antibody and RF positive group(330 cases),and 300 healthy subjects were selected as control group.After calculating SII and SIRI in each group,Kruskal-Wallis was used to examine the difference between SII and SIRI in the anti-CCP antibody and RF negative group,anti-CCP antibody positive RF negative group,anti-CCP antibody negative RF positive group,anti-CCP antibody and RF positive group of RA patients and the control group,and the receiver operat-ing characteristic(ROC)curve was drawn to evaluate the diagnostic efficacy of SII and SIRI in the anti-CCP antibody and RF negative group,anti-CCP antibody positive RF negative group,anti-CCP antibody negative RF positive group,anti-CCP antibody and RF positive group of RA patients.Results SII and SIRI in four groups of RA patients were significantly higher than those in control group(P＜0.05).The area under the curve(AUC)of SII in evaluating the four groups of RA patients were 0.689,0.724,0.709,and 0.774,respec-tively.SIRI had an AUC of 0.679,0.729,0.679,and 0.772 in the evaluation of the four groups of RA pa-tients,respectively.Conclusion SII and SIRI are both elevated in patients with RA,and have certain predictive value for RA.

Objective:To screen the main characteristic variables affecting the incidence of cardiovascular and cerebrovascular diseases,and to construct the Bayesian network model of cardiovascular and cerebrovascular disease incidence risk based on the top 10 characteristic variables,and to provide the reference for predicting the risk of cardiovascular and cerebrovascular disease incidence.Methods:From the UK Biobank Database,315 896 participants and related variables were included.The feature selection was performed by categorical boosting(CatBoost)algorithm,and the participants were randomly divided into training set and test set in the ratio of 7∶3.A Bayesian network model was constructed based on the max-min hill-climbing(MMHC)algorithm.Results:The prevalence of cardiovascular and cerebrovascular diseases in this study was 28.8％.The top 10 variables selected by the CatBoost algorithm were age,body mass index(BMI),low-density lipoprotein cholesterol(LDL-C),total cholesterol(TC),the triglyceride-glucose(TyG)index,family history,apolipoprotein A/B ratio,high-density lipoprotein cholesterol(HDL-C),smoking status,and gender.The area under the receiver operating characteristic(ROC)curve(AUC)for the CatBoost training set model was 0.770,and the model accuracy was 0.764;the AUC of validation set model was 0.759 and the model accuracy was 0.763.The clinical efficacy analysis results showed that the threshold range for the training set was 0.06-0.85 and the threshold range for the validation set was 0.09-0.81.The Bayesian network model analysis results indicated that age,gender,smoking status,family history,BMI,and apolipoprotein A/B ratio were directly related to the incidence of cardiovascular and cerebrovascular diseases and they were the significant risk factors.TyG index,HDL-C,LDL-C,and TC indirectly affect the risk of cardiovascular and cerebrovascular diseases through their impact on BMI and apolipoprotein A/B ratio.Conclusion:Controlling BMI,apolipoprotein A/B ratio,and smoking behavior can reduce the incidence risk of cardiovascular and cerebrovascular diseases.The Bayesian network model can be used to predict the risk of cardiovascular and cerebrovascular disease incidence.