ID

45628

Beschreibung

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

Stichworte

  1. 02.03.23 02.03.23 - Simon Heim
Rechteinhaber

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

Hochgeladen am

2. März 2023

DOI

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Lizenz

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
Beschreibung

pht009155

Alias
UMLS CUI [1,1]
C3846158
Subject ID
Beschreibung

SUBJECT_ID

Datentyp

string

Alias
UMLS CUI [1,1]
C2348585
Sample ID
Beschreibung

SAMPLE_ID

Datentyp

string

Alias
UMLS CUI [1,1]
C1299222

Ähnliche Modelle

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
Typ
Description | Question | Decode (Coded Value)
Datentyp
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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