0 Evaluaciones

ID

45628

Descripción

Principal Investigator: Laura T. Donlin, PhD, Hospital for Special Surgery, New York, NY, USA MeSH: Arthritis, Rheumatoid,Arthritis https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001340 Macrophages tailor their function according to the signals found in tissue microenvironments, assuming a wide spectrum of phenotypes. A detailed understanding of macrophage phenotypes in human tissues is limited. Using single-cell RNA sequencing, we defined distinct macrophage subsets in the joints of patients with the autoimmune disease rheumatoid arthritis (RA), which affects ~1% of the population. The subset we refer to as HBEGF+ inflammatory macrophages is enriched in RA tissues and is shaped by resident fibroblasts and the cytokine tumor necrosis factor (TNF). These macrophages promoted fibroblast invasiveness in an epidermal growth factor receptor-dependent manner, indicating that intercellular cross-talk in this inflamed setting reshapes both cell types and contributes to fibroblast-mediated joint destruction. In an ex vivo synovial tissue assay, most medications used to treat RA patients targeted HBEGF+ inflammatory macrophages; however, in some cases, redirecting them into a state is not expected to resolve inflammation. These data highlight how advances in our understanding of chronically inflamed human tissues and the effects of medications therein can be achieved by studies on local macrophage phenotypes and intercellular interactions. Reprinted from Kuo, Ding et al., Science Translational Medicine 2019, PMID: 31068444, with permission from American Association for the Advancement of Science.

Link

dbGaP study = phs001340

Palabras clave

  1. 2/3/23 2/3/23 - Simon Heim
Titular de derechos de autor

Laura T. Donlin, PhD, Hospital for Special Surgery, New York, NY, USA

Subido en

2 de marzo de 2023

DOI

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Licencia

Creative Commons BY 4.0

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    dbGaP phs001340 Identification and Targeting of Inflammatory Macrophage-Fibroblast Crosstalk in Rheumatoid Arthritis

    This subject sample mapping data table includes a mapping of study subject IDs to sample IDs. Samples are the final preps submitted for genotyping, sequencing, and/or expression data. For example, if one patient (subject ID) gave one sample, and that sample was processed differently to generate 2 sequencing runs, there would be two rows, both using the same subject ID, but having 2 unique sample IDs.

    pht009155
    Descripción

    pht009155

    Alias
    UMLS CUI [1,1]
    C3846158 (Other Coding)
    LOINC
    LA4728-7
    Subject ID
    Descripción

    SUBJECT_ID

    Tipo de datos

    string

    Alias
    UMLS CUI [1,1]
    C2348585 (Clinical Trial Subject Unique Identifier)
    Sample ID
    Descripción

    SAMPLE_ID

    Tipo de datos

    string

    Alias
    UMLS CUI [1,1]
    C1299222 (Sample identification number)
    SNOMED
    372274003

    Similar models

    This subject sample mapping data table includes a mapping of study subject IDs to sample IDs. Samples are the final preps submitted for genotyping, sequencing, and/or expression data. For example, if one patient (subject ID) gave one sample, and that sample was processed differently to generate 2 sequencing runs, there would be two rows, both using the same subject ID, but having 2 unique sample IDs.

    Name
    Tipo
    Description | Question | Decode (Coded Value)
    Tipo de datos
    Alias
    Item Group
    pht009155
    C3846158 (UMLS CUI [1,1])
    SUBJECT_ID
    Item
    Subject ID
    string
    C2348585 (UMLS CUI [1,1])
    SAMPLE_ID
    Item
    Sample ID
    string
    C1299222 (UMLS CUI [1,1])

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