Graft-versus-host disease (GVHD) remains to be a significant cause of morbidity and mortality after allogeneic hematopoietic stem cell transplantation (HSCT). IL-2-inducible T cell kinase (ITK), a TEC cytoplasmic tyrosine kinase, has an essential role in T cell development and receptor signaling. The ITK/Bruton tyrosine kinase inhibitor ibrutinib has been shown to improve chronic GVHD symptoms; however, the effect of ITK selective inhibition on acute GVHD remains unclear. In this study, we evaluated the pharmacological effects of an ITK selective inhibitor (ITKsi) on acute GVHD using murine bone marrow transplantation models. First, we found that CD4 T cell differentiation toward Th1, Th2, or Th17 was inhibited following ITKsi treatment in a dose-dependent manner while maintaining regulatory T cells in the presence of alloantigens both in vitro and in vivo. ITKsi preferentially inhibited inflammatory cytokine production and in vivo proliferation of alloreactive T cells. We then demonstrated that short-term exposure of donor graft cells to ITKsi significantly delayed the onset of GVHD-associated mortality without compromising the donor cell engraftment and the graft-versus-tumor effect, indicating the potential of ITK selective inhibition in the setting of clinical allogeneic HSCT. These findings suggest that ITK is a potential therapeutic target against GVHD, and the pharmacological ITK inhibitor may serve as a novel strategy for immune regulation after HSCT.
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http://dx.doi.org/10.4049/immunohorizons.2100042 | DOI Listing |
Objective: The objective of this research was to devise and authenticate a predictive model that employs CT radiomics and deep learning methodologies for the accurate prediction of synchronous distant metastasis (SDM) in clear cell renal cell carcinoma (ccRCC).
Methods: A total of 143 ccRCC patients were included in the training cohort, and 62 ccRCC patients were included in the validation cohort. The CT images from all patients were normalized, and the tumor regions were manually segmented via ITK-SNAP software.
Biochem Pharmacol
January 2025
Center for Drug Safety Evaluation and Research, Zhejiang Province Key Laboratory of Anti-Cancer Drug Research, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China; State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; Taizhou Institute of Zhejiang University, Zhejiang University, Taizhou 318000, China. Electronic address:
Atopic dermatitis (AD) is a chronic inflammatory skin disorder characterized by recurrent eczematous lesions and severe itching, for which clinical treatments are limited. Selectively inhibiting Janus Kinase 3 (JAK3) and tyrosine kinase expressed in hepatocellular carcinoma (TEC) family kinases is proposed as a promising strategy to treat AD with possible reduced side effects and enhanced efficacy. In this study, we developed a dual JAK3/TEC family kinase inhibitor ZZB, which demonstrated potent inhibitory activity with IC values of 0.
View Article and Find Full Text PDFJ Vasc Surg Venous Lymphat Disord
December 2024
Department of MRI, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; Department of Radiology, Beijing Shijitan Hospital, Capital Medical University, Beijing, China. Electronic address:
Objective: According to International Lymphology Society guidelines, the severity of lymphedema is determined by the difference in volume between the affected limb and the healthy side divided by the volume of the healthy side. However, this method of measuring volume is time consuming, laborious, and has certain errors in clinical applications. Therefore, this study aims to explore whether machine learning radiomics features based on noncontrast magnetic resonance imaging (MRI) can predict the severity of primary lower limb lymphedema.
View Article and Find Full Text PDFTechnol Cancer Res Treat
December 2024
Department of Radiology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Introduction: Since the response of patients with rectal cancer (RC) to neoadjuvant therapy is highly variable, there is an urgent need to develop accurate methods to predict the post-treatment T (pT) stage. The purpose of this study was to evaluate the utility of multi-parametric MRI radiomics models and identify the most accurate machine learning (ML) algorithms for predicting pT stage of RC.
Method: This retrospective study analyzed pretreatment clinical features of 171 RC patients who underwent 3 T MRI prior to neoadjuvant therapy and subsequent total mesorectal excision.
BMC Cancer
December 2024
Department of Urology, Peking University Third Hospital, 49 Huayuan North Road, Haidian District, Beijing, 100191, P.R. China.
Rationale And Objectives: The management of complex renal cysts is guided by the Bosniak classification system, which may be inadequate for risk stratification of patients to determine the appropriate intervention. Radiomics models based on CT imaging may provide additional useful information.
Materials And Methods: A total of 322 patients with Bosniak II-IV cysts were included in the study from January 2010 to December 2019.
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