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Background: No head-to-head trial directly compares the effectiveness of vedolizumab (VDZ) and infliximab (IFX) in patients with ulcerative colitis (UC) who were naïve to biologic therapy. Objectives: We aimed to compare the clinical and endoscopic effectiveness of VDZ and IFX in biologic-naïve patients with UC in real-world settings. Design: It was a multicenter, observational, real-world cohort study conducted at five centers. Methods: Patients diagnosed with UC and treated with either IFX or VDZ as their first-line biologic therapy were retrospectively enrolled. Steroid-free remission, clinical response, clinical remission, and endoscopic healing at week 14 and week 52 were compared between the two groups after propensity score weighting. Results: A total of 199 patients (117 VDZ and 82 IFX) were included in the study. There were no significant differences in steroid-free remission (64.6% vs 56.1%, p = 0.224), clinical response (83.4% vs 73.4%, p = 0.086), or clinical remission (69.4% vs 60.1%, p = 0.174) at week 14. However, VDZ showed better results in steroid-free remission (67.5% vs 44.4%, p = 0.004), clinical response (69.7% vs 47.1%, p = 0.005), and clinical remission (67.5% vs 44.4%, p = 0.004) at week 52. In terms of endoscopic healing, VDZ was similar to IFX at week 14 (25.7% vs 17.4%, p = 0.185), but VDZ had a significantly higher rate at week 52 (29.5% vs 11.8%, p = 0.027). VDZ was found to be superior to IFX in therapeutic continuation (hazard ratio = 0.339, 95% CI: 0.187–0.614, p

Abstract Background Variations exist in the response of patients with Crohn’s disease (CD) to ustekinumab (UST) treatment, but the underlying cause remains unknown. Our objective was to investigate the involvement of immune cells and identify potential biomarkers that could predict the response to interleukin (IL) 12/23 inhibitors in patients with CD. Methods The GSE207022 dataset, which consisted of 54 non-responders and 9 responders to UST in a CD cohort, was analyzed. Differentially expressed genes (DEGs) were identified and subjected to Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses. Least absolute shrinkage and selection operator (LASSO) regression was used to screen the most powerful hub genes. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the predictive performances of these genes. Single-sample Gene Set Enrichment Analysis (ssGSEA) was used to estimate the proportions of immune cell types. These significantly altered genes were subjected to cluster analysis into immune cell-related infiltration. To validate the reliability of the candidates, patients prescribed UST as a first-line biologic in a prospective cohort were included as an independent validation dataset. Results A total of 99 DEGs were identified in the integrated dataset. GO and KEGG analyses revealed significant enrichment of immune response pathways in patients with CD. Thirteen genes (SOCS3, CD55, KDM5D, IGFBP5, LCN2, SLC15A1, XPNPEP2, HLA-DQA2, HMGCS2, DDX3Y, ITGB2, CDKN2B and HLA-DQA1), which were primarily associated with the response versus nonresponse patients, were identified and included in the LASSO analysis. These genes accurately predicted treatment response, with an area under the curve (AUC) of 0.938. T helper cell type 1 (Th1) cell polarization was comparatively strong in nonresponse individuals. Positive connections were observed between Th1 cells and the LCN2 and KDM5D genes. Furthermore, we employed an independent validation dataset and early experimental verification to validate the LCN2 and KDM5D genes as effective predictive markers. Conclusions Th1 cell polarization is an important cause of nonresponse to UST therapy in patients with CD. LCN2 and KDM5D can be used as predictive markers to effectively identify nonresponse patients. Trial registration: Trial registration number: NCT05542459; Date of registration: 2022-09-14; URL: https://www.clinicaltrials.gov .

Summary: Background: Ustekinumab and vedolizumab are both effective for treating Crohn’s disease (CD). However, no head-to-head trials have been conducted thus far. We aimed to compare the effectiveness of ustekinumab and vedolizumab in CD patients either naïve or exposed to tumor necrosis factor-alpha inhibitors (TNFi). Methods: Patients treated with vedolizumab or ustekinumab for luminal CD were included from six centers in China from May 2020 to July 2023. Steroid-free remission, clinical remission, objective response, and remission at Weeks 26 and 52 were evaluated in a retrospective multicenter propensity score–weighted cohort. Findings: A total of 536 patients were included (386 ustekinumab, and 150 vedolizumab). After adjustment, ustekinumab showed higher rates of clinical remission (56.4% vs. 47.8%, P = 0.005), steroid-free remission (55.4% vs. 46.1%, P = 0.003), and objective response (67.8% vs. 42.7%, P

With the national carbon neutrality and carbon peaking policies proposed one after another, this paper proposes intelligent Energy system design and power metering based on the Energy Plan model. In this paper, the Energy PLAN model is proposed as the basic model for energy development planning during the 14th Five-Year Plan period, and the simulation calculation is carried out for the energy system in 2020. The research shows that there is a large gap between the peak and valley of power load, the peak time of power supply and demand does not match, and the response-ability of the energy supply department is poor. Thus, the problems to be solved in the development of energy are determined. In addition, the accuracy of the model is further verified by comparing the actual data with the simulation results of Energy PLAN, and the direction of energy structure reform is determined. By coupling the NSGA-II (Non-dominated Sorting Genetic Algorithms-II) algorithm with the development model, a dual-objective multi-time scale scheduling model is established, which aims at the minimum operating cost and the best energy and environmental benefit coefficient. Secondly, the proposed model is solved using the NSGA-II algorithm. In order to ensure the diversity of solutions and promote the Pareto front approach to the ideal Pareto front, the fuzzy dominance method is used to perform a fast non-dominated sorting of the population, and the maximum satisfaction method is used to select the Pareto optimal compromise solution. Example analysis shows that when the power demand level is L*-L*-L*, the power input under "H-M", "M-L" and "H-L" scenarios is 106.02 × 103, 102.73 × 103 and 94.2 × 103 GWh, respectively. However, when the power demand level is H*-L*-L*, the power input is always 142.64 × 103 GWh. With the decrease in the transmission rate, the measurement data obtained by the user's electric acquisition platform becomes less and less, and the performance of state estimation becomes worse. When λ = 50%, the proposed model still maintains a high estimation accuracy. [ABSTRACT FROM AUTHOR]