ObjectiveFunctional near-infrared spectroscopy (fNIRS), a novel non-invasive technique for monitoring cerebral activity, can be integrated with upper limb rehabilitation robots to facilitate the real-time assessment of neurological rehabilitation outcomes. The rehabilitation robot is designed with 3 training modes: passive, active, and resistance. Among these, the resistance mode has been demonstrated to yield superior rehabilitative outcomes for patients with a certain level of muscle strength. The control modes in the resistance mode can be categorized into dynamic and static control. However, the effects of different control modes in the resistance mode on the motor function of patients with upper limb hemiplegia in stroke remain unclear. Furthermore, the effects of force, an important parameter of different control modes, on the activation of brain regions have rarely been reported. This study investigates the effects of dynamic and static resistance modes under varying resistance levels on cerebral functional alterations during motor rehabilitation in post-stroke patients. MethodsA cohort of 20 stroke patients with upper limb dysfunction was enrolled in the study, completing preparatory adaptive training followed by 3 intensity-level tasks across 2 motor paradigms. The bilateral prefrontal cortices (PFC), bilateral primary motor cortices (M1), bilateral primary somatosensory cortices (S1), and bilateral premotor and supplementary motor cortices (PM) were examined in both the resting and motor training states. The lateralization index (LI), phase locking value (PLV), network metrics were employed to examine cortical activation patterns and topological properties of brain connectivity. ResultsThe data indicated that both dynamic and static modes resulted in significantly greater activation of the contralateral M1 area and the ipsilateral PM area when compared to the resting state. The static patterns demonstrated a more pronounced activation in the contralateral M1 in comparison to the dynamic patterns. The results of brain network analysis revealed significant differences between the dynamic and resting states in the contralateral PFC area and contralateral M1 area (F=4.709, P=0.038), as well as in the contralateral PM area and ipsilateral M1 area (F=4.218, P=0.049). Moreover, the findings indicated a positive correlation between the activation of the M1 region and the increase in force in the dynamic mode, which was reversed in the static mode. ConclusionBoth dynamic and static resistance training modes have been demonstrated to activate the corresponding brain functional regions. Dynamic resistance modes elicit greater oxygen changes and connectivity to the region of interest (ROI) than static resistance modes. Furthermore, the effects of increasing force differ between the two modes. In patients who have suffered a stroke, dynamic modes may have a more pronounced effect on the activation of exercise-related functional brain regions.

This study was aimed at understanding the relationships among the drug resistance and genome characteristics of group A Streptococcus in Jiangsu Province.A total of 149 group A Streptococcus strains were collected from hospitals between 2016 and 2023.Thirteen antimicrobial minimal inhibitory concentrations were detected with the micro-dilution broth method.The GAS strains were typed with emm genotyping analysis and whole genome sequencing,to determine the carriage rates of drug resistance genes and the evolutionary relationships among strains.The resistance rates of 149 GAS strains to erythromy-cin,tetracycline,and clindamycin exceeded 90％,whereas the strains showed sensitivity to 8 different antibiotics,including penicillin.Notably,the resistance rates to erythromycin,tetracycline,and clindamycin consistently increased over time.All strains were classified into 9 emm types,among which emm12 accounted for the highest proportion(77/149;51.68％).Signifi-cant statistical differences were observed among emm types,in terms of the drug resistance rate,number of resistant species,and prevalence of drug resistance genes.Furthermore,SNP evolutionary tree analysis revealed 3 distinct clusters within the GAS strains:emm12,emm1,and other emm types.emm 12 and emm1 were the dominant GAS strains in Jiangsu Province.Most isolates were resistant to erythromycin,tetracycline,and clindamycin.Differences in phenotypes and genomic characteris-tics were observed among emm types.

This paper reviews the current situation of massive open online course (MOOC) construction both domestically and internationally, highlighting the similarities, differences, and limitations of MOOC construction across nations. Based on the full-cycle MOOC construction of the "clinical epidemiology" course at Southern Medical University, including course design, resource integration, online deployment, and teaching evaluation, this study explored the significance, implementation path, and challenges of MOOC construction. This paper also reflects on the activation of teaching content, teacher-student interaction, and teaching mode, aiming to provide a reference for the construction and continuous enhancement of MOOC in China.

Objective:To evaluate the cost-effectiveness of Artificial Intelligence(AI)-assisted physician image interpretation in the screening of early-stage lung cancer(stage Ⅰ)from the perspective of the healthcare system,so as to provide evidence for screening strategy optimization.Methods:Based on community populations,a decision tree model was constructed to simulate the cost-effectiveness of two screening strategies:Al-assisted physician image interpretation and independent physician image interpretation,and the Incremental Cost-Effectiveness Ratio(ICER)was calculated.Results:In the basic analysis,the per capita costs of the AI-assisted group and the physician group were 1 483 yuan and 1 489 yuan,respectively,and the effectiveness was 17.02 Quality-Adjusted Life Years(QALYs)and 16.99 QALYs,respectively.Compared with the physician group,the AI-assisted group saved 6 yuan per case and obtained an additional 0.03 QALY per case.The ICER was negative,indicating that the AI-assisted group had an absolute advantage.Threshold analysis showed that when the inspection cost of Al-assisted physician image interpretation increased to 428 yuan per case,the average cost per case was the same between these two groups,and the ICER was 0.When the inspection cost of Al-assisted physician image interpretation was above 428 yuan,the ICER was positive,still demonstrating economic efficiency.Conclusion:AI-assisted image interpretation is cost-effective in the screening of early-stage lung cancer and can facilitate the"early detection,early diagnosis,and early treatment"of lung cancer based on improving the efficiency and accuracy of screening,so as to provide scientific support for health system resource optimization.

Objective·To investigate the clinicopathologic features,gene mutation profile,and real-world survival prognosis of diffuse large B-cell lymphoma(DLBCL)with pulmonary involvement.Methods·The clinical data of 110 patients with newly diagnosed,pathologically confirmed DLBCL and pulmonary involvement at Ruijin Hospital,Shanghai Jiao Tong University School of Medicine,between August 2003 and December 2022 were retrospectively collected and analyzed.Evaluation of the efficacy of treatment,survival analyses,and univariate and multivariate analyses were performed in 88 patients who received a first-line regimen based on rituximab in combination with cyclophosphamide,doxorubicin/epirubicine,vincristine,and prednisone(R-CHOP).A total of 74 patients underwent targeted DNA sequencing of 55 lymphoma-related genes and were evaluated for mutations.Results·Among the 110 patients,72(65.5%)were>60 years old,52(47.3%)were female,92(83.6%)presented with Ann Arbor stage Ⅲ?Ⅳ,20(18.2%)had ECOG scores≥2,75(68.2%)had elevated lactate dehydrogenase(LDH)levels,79(71.8%)had≥2 extranodal involvements,32(31.4%)were classified as germinal center B-cell subtype,22(26.8%)were diagnosed with double expressor lymphoma,and 4(4.6%)with double-hit lymphoma.Among the patients treated with R-CHOP-based first-line regimens,the objective response rate(ORR)was 68.2%,the 5-year progression-free survival(PFS)rate was 43.7%,and the 5-year overall survival(OS)rate was 65.4%.Univariate analysis showed that elevated LDH and ECOG score≥2 were poor prognostic factors for PFS and OS,and mutations in PIM1 and CD79B were poor prognostic factors for PFS among high-frequency mutations.Multivariate analysis showed that elevated LDH was an independent adverse prognostic factor for PFS(HR=2.47,95%CI 1.28?4.77)and OS(HR=2.71,95%CI 1.21 ? 6.07).Targeted sequencing results showed that PIM1(25.7%),MYD88(24.3%),TP53(18.9%),CD79B(17.6%),KMT2D(17.6%),and TNFAIP3(16.2%)were the high-frequency mutations with mutation rates over 15%.Conclusion·Elevated LDH is an independent adverse prognostic factor for PFS and OS in DLBCL with pulmonary involvement.Mutations in PIM1,MYD88,TP53,CD79B,KMT2D,and TNFAIP3 are frequently observed in this population.

Objective:To explore the application effect of integrated root cause analysis (RCA) in the analysis of approximate administration error events, and to provide reference for the management of clinical approximate administration error events.Methods:A non-synchronous pre-and post-control study was conducted. The data of 3 cases of approximate error events of drug administration in the Department of Cardiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University from January to September 2021 were retrospectively analyzed. The integrated RCA was used to find out the proximal causes, and the system diagram and problem tree analysis were used to determine the root causes. The improvement measures were formulated through barrier analysis, including improving the safety barrier of hospital information system (HIS), updating the database of drug instructions in the Department of Cardiology, standardizing the barrier of nurses′ treatment and examination of medical orders, and visual management barrier. The integrated RCA improvement measures were applied to the management of approximate error events of drug administration. The improvement effect was evaluated by comparing the number of adverse events of medication errors before improvement (January to September 2021) and after improvement (September 2023 to May 2024), the error rate of HIS drug orders, the number of drug interceptions in pharmacies, the processing time of doctors′ HIS orders, and the qualified rate of medical staff 's drug knowledge assessment.Results:There were 32 medical staff in the department of cardiology before improvement, including 6 males and 26 females, aged (31.03 ± 4.29) years old. After improvement, 30 medical staff, 6 males and 24 females, aged (31.20 ± 4.37) years old. After the implementation of integrated RCA improvement, the number of adverse events of medication errors decreased from 3 cases before improvement to 0 cases after improvement. The error rate of HIS drug orders decreased from 11.83%(11/93) before improvement to 2.74%(2/73) after improvement. Improve the pre-audit system without pharmacy drug delivery interception function, improve the pre-application drug information 6 990, the number of drug interception was 0; after improvement, 7 782 pieces of drug information were claimed, and the number of drug interceptions was 78. The difference before and after improvement was statistically significant ( χ2=68.54, P<0.05). After the improvement, the doctor′s HIS doctor′s order processing time including admission, discharge, preoperative, postoperative, examination and medication, and temporary doctor′s order processing time were (1.14 ± 0.41), (1.37 ± 0.30), (0.43 ± 0.11), (0.51 ± 0.11), (0.40 ± 0.10) and (0.51 ± 0.14) min, respectively. They were lower than (4.07 ± 0.70), (3.69 ± 0.60), (1.44 ± 0.24), (2.10 ± 0.45), (1.41 ± 0.28) and (1.44 ± 0.29) min before improvement, and the differences were statistically significant ( t values were 15.21-21.42, all P<0.05). The qualified rate of drug knowledge examination of medical staff increased from 81.25%(26/32) before improvement to 100.00%(30/30) after improvement, and the difference was statistically significant ( P<0.05). Conclusions:The application of integrated RCA to analyze the approximate error events of drug administration is helpful to identify the system defects in the workflow of electronic medical order administration more comprehensively, improve work efficiency and ensure the quality and safety of medical care.

As new evidence emerges, treatment strategies toward the functional cure of chronic hepatitis B are evolving. In 2019, a panel of national hepatologists published a Consensus Statement on the functional cure of chronic hepatitis B. Currently, an international group of hepatologists has been assembled to evaluate research since the publication of the original consensus, and to collaboratively develop the updated statements. The 2.0 Consensus was aimed to update the original consensus with the latest available studies, and provide a comprehensive overview of the current relevant scientific literatures regarding functional cure of hepatitis B, with a particular focus on issues that are not yet fully clarified. These cover the definition of functional cure of hepatitis B, its mechanisms and barriers, the effective strategies and treatment roadmap to achieve this endpoint, in particular new surrogate biomarkers used to measure efficacy or to predict response, and the appropriate approach to pursuing a functional cure in special populations, the development of emerging antivirals and immunomodulators with potential for curing hepatitis B. The statements are primarily intended to offer international guidance for clinicians in their practice to enhance the functional cure rate of chronic hepatitis B.

Purpose To investigate the expression of POLR2M in colorectal cancer(CRC)and its effects on cell growth,apoptosis and invasion.Methods GEPIA2.0,TCGA and Kaplan-Meier Plotter databases were used to ana-lyze the differential expression of POLR2M in CRC tissues and normal adjacent tissues,and to evaluate its prognostic significance using the Log-rank test.Quantitative real-time PCR(qRT-PCR)was used to detect the expression of POLR2M in human colorectal cancer cell lines SW480,HCT-8,RKO,LOVO,DLD-1,HCT-116,SW620 and human normal colorectal cell line FHC.DLD-1 and RKO cells were stably transfected with lentivirus,and the POLR2M groups were up-regulated into the control group(LV-NC)and experimental group(LV-POLR2M),and the transient transfec-tion of SW620 and SW480 cells with interfering fragments of SiRNA was used to down-regulate the POLR2M groups into the control group(Si-NC)and experimental group(Si-POLR2M),and the transfection efficiency of each group was verified.CCK-8,plate cloning,Transwell and scratch healing assays were used to detect cell proliferation,invasion and migration.Flow cytometry was used to detect the effects of POLR2M on cell cycle and apoptosis.Results GE-PIA2.0,TCGA and Kaplan-Meier Plotter database analysis showed that the expression of POLR2M in colorectal cancer was significantly higher than in normal adjacent tissues(P＜0.05),and the expression of POLR2M was closely associ-ated with the histological type of colorectal cancer and lymph node metastasis(P＜0.05),but not with the age,gen-der,tumor grade and vascular invasion of patients(P＞0.05).The prognosis of patients with POLR2M overexpression was poor(P＜0.05).The results of qRT-PCR showed that compared with FHC cells,the mRNA expression of POLR2M in SW480,HCT-8,RKO,LOVO,DLD-1,HCT-116 and SW620 cell lines was increased(F=97.7,P＜0.05),and POLR2M stable overexpression and interference cell lines were successfully constructed.Compared with the LV-NC group,the viability,colony number,number of cells passing through the chamber and cell mobility of DLD-1 and RKO cells in the LV-POLR2M group were significantly increased(P＜0.05).Compared with the Si-NC group,the viability,colony number,number of cells passing through the chamber,and cell mobility of SW620 and SW480 cells in the Si-POLR2M group were significantly decreased(P＜0.05).Downregulation of POLR2M induced cell cycle arrest in G1 phase and promotes apoptosis(P＜0.05).Conclusion POLR2M may play a role as a pro-tumor gene in CRC,and its high expression can significantly promote the proliferation and invasion of CRC cells.

Gene regulation relies on the precise binding of transcription factors (TFs) at regulatory elements, but simultaneously detecting hundreds of TFs on chromatin is challenging. We developed cFOOT-seq, a cytosine deaminase-based TF footprinting assay, for high-resolution, quantitative genome-wide assessment of TF binding in both open and closed chromatin regions, even with small cell numbers. By utilizing the dsDNA deaminase SsdAtox, cFOOT-seq converts accessible cytosines to uracil while preserving genomic integrity, making it compatible with techniques like ATAC-seq for sensitive and cost-effective detection of TF occupancy at the single-molecule and single-cell level. Our approach enables the delineation of TF footprints, quantification of occupancy, and examination of chromatin influences on TF binding. Notably, cFOOT-seq, combined with FootTrack analysis, enables de novo prediction of TF binding sites and tracking of TF occupancy dynamics. We demonstrate its application in capturing cell type-specific TFs, analyzing TF dynamics during reprogramming, and revealing TF dependencies on chromatin remodelers. Overall, cFOOT-seq represents a robust approach for investigating the genome-wide dynamics of TF occupancy and elucidating the cis-regulatory architecture underlying gene regulation.
Transcription Factors/genetics* ; Humans ; Chromatin/genetics* ; Animals ; Binding Sites ; Mice ; DNA Footprinting/methods*

To clarify the species, pathogenicity, and distribution of the pathogens causing the root rot of Atractylodes lancea in Hubei province, the tissue separation method was used to isolate the pathogens from root rot samples in the main planting areas of A. lancea in Hubei. Based on the preliminary identification of the Fusarium genus by the internal transcribed spacer(ITS) sequence, three housekeeping genes, EF1/EF2, Btu-F-FO1/Btu-F-RO1, and FF1/FR1, were amplified and sequenced. Subsequently, a phylogenetic tree was constructed based on these TEF gene sequences to classify the pathogens. The pathogenicity of these strains was determined using the root irrigation method. A total of 194 pathogen strains were isolated using the tissue separation method. Molecular identification using the three housekeeping genes identified the pathogens as F. solani, F. oxysporum, F. commune, F. equiseti, F. tricinctum, F. redolens, F. fujikuroi, F. avenaceum, F. acuminatum, and F. incarnatum. Among them, F. solani and F. oxysporum were the dominant strains, widely distributed in multiple regions, with F. solani accounting for approximately 54% of the total isolated strains and F. oxysporum accounting for approximately 34%. Other strains accounted for a relatively small proportion, totaling approximately 12%. The results of pathogenicity determination showed that there were certain differences in pathogenicity among strains. The analysis of the pathogenicity differentiation of the widely distributed F. solani and F. oxysporum strains revealed that these dominant strains in Hubei were mainly highly pathogenic. This study determined the species, pathogenicity, and distribution of the pathogens causing the root rot of A. lancea in Hubei province. The results provide a scientific basis for further understanding the root rot of A. lancea and its epidemic occurrence and scientifically preventing and controlling this disease.
Plant Diseases/microbiology* ; Atractylodes/microbiology* ; Phylogeny ; Plant Roots/microbiology* ; Fusarium/classification* ; China ; Virulence ; Fungal Proteins/genetics*