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Clinical benefits of cytokine blockade in ileal Crohn's disease (iCD) are limited to a subset of patients. Here, we applied single-cell technologies to iCD lesions to address whether cellular heterogeneity contributes to treatment resistance. We found that a subset of patients expressed a unique cellular module in inflamed tissues that consisted of IgG plasma cells, inflammatory mononuclear phagocytes, activated T cells, and stromal cells, which we named the GIMATS module. Analysis of ligand-receptor interaction pairs identified a distinct network connectivity that likely drives the GIMATS module. Strikingly, the GIMATS module was also present in a subset of patients in four independent iCD cohorts (n = 441), and its presence at diagnosis correlated with failure to achieve durable corticosteroid-free remission upon anti-TNF therapy. These results emphasize the limitations of current diagnostic assays and the potential for single-cell mapping tools to identify novel biomarkers of treatment response and tailored therapeutic opportunities.
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http://dx.doi.org/10.1016/j.cell.2019.08.008 | DOI Listing |
Arthritis Rheumatol
September 2025
Washington DC Veterans Affairs Medical Center; Georgetown University, Washington, DC, USA.
Objective: To evaluate the clinical characteristics, social deprivation, insurance coverage, and medication use across regional subsets of patients with psoriatic arthritis (PsA) in the US.
Methods: A cross-sectional study of PsA patients in the Rheumatology Informatics System for Effectiveness (RISE) registry between January 2020 and March2023 was conducted. Distribution of high disease activity (HDA - RAPID3>12), high comorbidity (RxRisk ≥90 percentile), high Area Deprivation Index (ADI ≥80), insurance coverage, prednisone ≥10mg daily, and all DMARD therapies across geographic regions were evaluated.
Haematologica
September 2025
Division of Medical Oncology, University Hospital Basel, Basel, Switzerland; Laboratory of Translational Immuno-Oncology, Department of Biomedicine, University and University Hospital Basel, Basel.
We previously used a disease-specific B cell receptor (BCR) point mutation (IGLV3-21R110) for selective targeting of a high-risk subset of chronic lymphocytic leukemia (CLL) with chimeric antigen receptor (CAR) T cells. Since CLL is a disease of the elderly and a significant fraction of patients is not able to physically tolerate CAR T cell treatment, we explored bispecific antibodies as an alternative for precision targeting of this tumor mutation. Heterodimeric IgG1-based antibodies consisting of a fragment crystallizable region (Fc) attached to both an anti-IGLV3-21R110 Fab and an anti-CD3 (UCHT1) single chain variable fragment (R110-bsAb) selectively killed cell lines engineered to express high levels of the neoepitope as well as primary CLL cells using healthy donor and CLL patient-derived T cells as effectors.
View Article and Find Full Text PDFHaematologica
September 2025
Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD,.
Immunotherapies, including cell therapies, are effective anti-cancer agents. However, cellular product persistence can be limiting with short functional duration of activity contributing to disease relapse. A variety of manufacturing protocols are used to generate therapeutic engineered T-cells; these differ in techniques used for T-cell isolation, activation, genetic modification, and other methodology.
View Article and Find Full Text PDFHealth Commun
September 2025
Department of Library and Information Science, Rutgers University.
Patient portals have the potential to both improve and harm patient-clinician partnerships by reshaping how health information is exchanged and how patients and providers communicate. Patients ( = 20) and primary care clinicians ( = 11) purposively sampled from clinics serving diverse New Jersey communities were interviewed. Patients distinguished two portal functions - linear information exchange and bidirectional communication - but did so in different ways.
View Article and Find Full Text PDFBariatric surgery is an effective treatment for morbid obesity, but patient outcomes differ greatly because of a variety of phenotypes, comorbidities, and postoperative adherence. In bariatric care, artificial intelligence (AI) and machine learning (ML) are becoming revolutionary tools because traditional predictive models based on BMI and demographic variables are unable to account for these complexities. To put it simply, AI is a branch of computer science that enables machines to perform tasks that typically require human intelligence.
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