Intestinal mRNA expression profiles associated with mucosal healing in ustekinumab-treated Crohn's disease patients: bioinformatics analysis and prospective cohort validation.

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 .

CIFG-Net: Cross-level information fusion and guidance network for Polyp Segmentation.

Colorectal cancer is a common malignant tumor of the digestive tract. Most colorectal cancer is caused by colorectal polyp lesions. Timely detection and removal of colorectal polyps can substantially reduce the incidence of colorectal cancer. Accurate polyp segmentation can provide important polyp information that can aid in the early diagnosis and treatment of colorectal cancer. However, polyps of the same type can vary in texture, color, and even size. Furthermore, some polyps are similar in colour to the surrounding healthy tissue, which makes the boundary between the polyp and the surrounding area unclear. In order to overcome the issues of inaccurate polyp localization and unclear boundary segmentation, we propose a polyp segmentation network based on cross-level information fusion and guidance. We use a Transformer encoder to extract a more robust feature representation. In addition, to refine the processing of feature information from encoders, we propose the edge feature processing module (EFPM) and the cross-level information processing module (CIPM). EFPM is used to focus on the boundary information in polyp features. After processing each feature, EFPM can obtain clear and accurate polyp boundary features, which can mitigate unclear boundary segmentation. CIPM is used to aggregate and process multi-scale features transmitted by various encoder layers and to solve the problem of inaccurate polyp location by using multi-level features to obtain the location information of polyps. In order to better use the processed features to optimise our segmentation effect, we also propose an information guidance module (IGM) to integrate the processed features of EFPM and CIPM to obtain accurate positioning and segmentation of polyps. Through experiments on five public polyp datasets using six metrics, it was demonstrated that the proposed network has better robustness and more accurate segmentation effect. Compared with other advanced algorithms, CIFG-Net has superior performance. Code available at: https://github.com/zspnb/CIFG-Net.

Single or continuous multiple intravenous re-induction in Crohn's disease patients who lost response to ustekinumab: Evidence from real-world data.

BACKGROUND AND AIMS: Re-induction optimization of ustekinumab is effective in Crohn's disease (CD) patients who experienced a loss of response (LOR) to ustekinumab. However, whether continuous multiple intravenous optimization is better than single dose re-induction remains unknown. We aimed to compare effectiveness of two strategies in CD patients with LOR to ustekinumab. METHODS: We retrospectively included CD patients who had LOR to standardized ustekinumab therapy. They were divided into three groups according to different times (one to three) for re-induction. RESULTS: This study included 50, 26 and 22 of 98 eligible patients in one intravenous re-induction subgroup, double intravenous re-induction subgroup and three intravenous re-induction subgroup, respectively. At week 24, 67.3%, 75.5%, 56.6%, 69.8% and 61.2% of all achieved steriod free clinical remission, clinical response, endoscopic remission, endoscopic response and C-reactive protein normalization, respectively. No differences were found in all endpoints between three groups. Ustekinumab trough level at week 24 but not times of re-induction showed a tendency to predict clinical remission. No serious adverse events were found in this cohort. CONCLUSION: Intravenous re-induction was safe and effective in CD patients who experienced LOR to ustekinumab. Trough level of ustekinumab but not times of intravenous re-induction may associated with clinical efficacy.

Mitochondria-targeted pentacyclic triterpene NIR-AIE derivatives for enhanced chemotherapeutic and chemo-photodynamic combined therapy.

Complexes formed by combining pentacyclic triterpenes (PTs) with Aggregation-Induced Emission luminogens (AIEgens), termed pentacyclic triterpene-aggregation induced emission (PT-AIEgen) complexes, merge the chemotherapeutic properties of PTs with the photocytotoxicity of AIEgens. In this study, we synthesized derivatives by connecting three types of triphenylamine (TPA) pyridinium derivatives with three common pentacyclic triterpenes. Altering the connecting group between the electron donor TPA and the electron acceptor pyridinium resulted in increased production of reactive oxygen species (ROS) by PT-AIEgens and a red-shift in their fluorescence emission spectra. Importantly, the fluorescence emission spectra of BA-3, OA-3, and UA-3 extended into the near-infrared (NIR) range, enabling NIR-AIE imaging of the sites where the derivatives aggregated. The incorporation of the pyridinium structure improved the mitochondrial targeting of PT-AIEgens, enhancing mitochondrial pathway-mediated cell apoptosis and improving the efficiency of chemotherapy (CT) and chemo-photodynamic combined therapy (CPCT) both in vivo and in vitro. Cellular fluorescence imaging demonstrated rapid cellular uptake and mitochondrial accumulation of BA-1 (-2, -3). Cell viability experiments revealed that BA-1 (-2), OA-1 (-2), and UA-1 (-2) exhibited superior CT cytotoxicity compared to their parent drugs, with BA-1 showing the most potent inhibitory effect on HeLa cells (IC50 = 1.19 µM). Furthermore, HeLa cells treated with BA-1 (1 µM), BA-2 (1.25 µM), and BA-3 (1 µM) exhibited survival rates of 2.99 % ± 0.05 % µM, 5.92 % ± 2.04 % µM, and 2.53 % ± 0.73 % µM, respectively, under white light irradiation. Mechanistic experiments revealed that derivatives induced cell apoptosis via the mitochondrial apoptosis pathway during both CT and CPCT. Remarkably, BA-1 and BA-3 in CPCT inhibited cancer cell proliferation in an in vivo melanoma mouse xenograft model. These results collectively encourage further research of PT-AIEgens as potential anticancer agents.

Comparative effectiveness of ustekinumab vs. vedolizumab for anti-TNF-naïve or anti-TNF-exposed Crohn's disease: a multicenter cohort study.

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 < 0.001) than vedolizumab at Week 26. At Week 52, ustekinumab exhibited significantly higher rates of clinical remission (65.8% vs. 37.5%, P < 0.001), steroid-free remission (65.8% vs. 37.5%, P < 0.001), objective response (66.7% vs. 23.8%, P < 0.001), and objective remission (31.4% vs. 12.7%, P < 0.001). Subgroup analyses revealed that ustekinumab had higher rates of clinical remission, steroid-free remission, and objective response at Weeks 26 and 52, and objective remission at Week 52 in TNFi-exposed patients, while ustekinumab showed higher rates of objective response at Weeks 26 and 52 and clinical remission, steroid-free remission and objective remission at Week 52 in TNFi-naïve patients. Adverse event rates were similar between the groups (4.9% ustekinumab vs. 6.7% vedolizumab, P = 0.423). Interpretation: Ustekinumab showed superior clinical and objective outcomes compared to vedolizumab, with comparable safety outcomes. The therapeutic superiority was observed in both short-term and long-term phases in TNFi-exposed patients, and the long-term phase in TNFi-naïve patients. Funding: National Natural Science Foundation of China, Guangdong Basic and Applied Basic Research Foundation, Key Research Projects of the Sixth Affiliated Hospital, Sun Yat-sen University, the program of Guangdong Provincial Clinical Research Center for Digestive Diseases, and National Key Clinical Discipline.