Therapeutic single-cell landscape: methotrexate exacerbates interstitial lung disease by compromising the stemness of alveolar epithelial cells under systemic inflammation
- Abstract
- Background: Interstitial lung disease (ILD) poses a serious threat in patients with rheumatoid arthritis (RA). However, the impact of cornerstone drugs, including methotrexate (MTX) and TNF inhibitor, on RA-associated ILD (RA-ILD) remains controversial.
Methods: Using an SKG mouse model and single-cell transcriptomics, we investigated the effects of MTX and TNF blockade on ILD.
Findings: Our study revealed that MTX exacerbates pulmonary inflammation by promoting immune cell infiltration, Th17 activation, and fibrosis. In contrast, TNF inhibitor ameliorates these features and inhibits ILD progression. Analysis of data from a human RA-ILD cohort revealed that patients with ILD progression had persistently higher systemic inflammation than those without progression, particularly among the subgroup undergoing MTX treatment.
Interpretation: These findings highlight the need for personalized therapeutic approaches in RA-ILD, given the divergent outcomes of MTX and TNF inhibitor.
Funding: This work was funded by GENINUS Inc., and the National Research Foundation of Korea, and Seoul National University Hospital.
- All Author(s)
- Sung Hae Chang
; Seyoung Jung
; Jeong Jun Chae
; Jeong Yeon Kim
; Seon Uk Kim
; Ji Yong Choi
; Hye-Jeong Han
; Hyun Taek Kim
; Hak-Jae Kim
; Hyun Je Kim
; Woong Yang Park
; Jeffrey A Sparks
; Eun Young Lee
; Jeong Seok Lee
- Intsitutional Author(s)
- 장성혜
- Issued Date
- 2024
- Type
- Article
- Keyword
- Fibrosis; Macrophage Differentiation; Methotrexate; Rheumatoid Arthritis-associated Interstitial Lung Disease; SKG Mouse; Th17 Cell Activation; Tumor Necrosis Factor Inhibitor
- Publisher
- Elsevier B.V.
- ISSN
- 2352-3964
- Citation Title
- EBioMedicine
- Citation Volume
- 108
- Citation Start Page
- 105339
- Citation End Page
- 105339
- Language(ISO)
- eng
- DOI
- 10.1016/j.ebiom.2024.105339
- URI
- http://schca-ir.schmc.ac.kr/handle/2022.oak/4994
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