uPAR-Targeting Cytotoxic Antibody–Drug Conjugates Selectively Deplete Proinflammatory Myeloid Cells for Autoimmune Indications

Rheumatoid arthritis (RA) is an autoimmune disorder characterized by synovial inflammation and progressive joint destruction. There is no cure, and patient responses to current therapies vary, reflecting underlying pathogenic heterogeneity. Leveraging single-cell RNA sequencing (scRNA-seq) of RA synovium, we identified a PLAUR/uPAR-high myeloid subset that co-expresses pathogenic mediators, including IL1B and CXCL8. To target these cells, we developed anti-uPAR antibody–drug conjugates (ADCs) and evaluated various payloads in vitro and in vivo. ADCs bearing BCL-2 family inhibitors selectively induced apoptosis in proinflammatory human monocytes and macrophages with elevated uPAR, while sparing unstimulated monocytes with low basal uPAR in vitro. The treatment also reduced CXCL8 secretion. Given that murine myeloid cells exhibited lower uPAR expression and reduced sensitivity to BCL-2 family inhibitors, we used a monomethyl auristatin F (MMAF) payload to demonstrate in vivo proof-of-concept. In an air-pouch model, the anti-uPAR–MMAF conjugate reduced uPARhighCD11b+F4/80+ macrophages by 39% compared with the isotype control. Together, our study underscores the potential of ADCs to eliminate disease-relevant cell types with inducible cell surface markers. This work opens new avenues for exploring cytotoxic ADCs as targeted therapies for autoimmune and inflammatory diseases.

Authors

Institutions

Publication Details

Journal
Cells
Published
2026-04-29
DOI
https://doi.org/10.3390/cells15090803
Primary Topic
Immune cells in cancer
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

uPAR-Targeting Cytotoxic Antibody–Drug Conjugates Selectively Deplete Proinflammatory Myeloid Cells for Autoimmune Indications

Jianzhong Wen, Arjun Baghela, Marc A. Sze, Marc C. Levesque et al.
Cells
Immune cells in cancer
article

uPAR-Targeting Cytotoxic Antibody–Drug Conjugates Selectively Deplete Proinflammatory Myeloid Cells for Autoimmune Indications

Jianzhong Wen, Arjun Baghela, Marc A. Sze, Marc C. Levesque, Rajesh V. Kamath, Handan Xiang, Gretchen A. Baltus, Simon B. Lang, Sriram Jakkaraju, Anirudh Chirala, Elisabeth H. Vollmann, Mengxuan Jia, Laxminarayan G. Hegde, Jie Zhang-Hoover, An Chi, Yen-Cheng Chen, Aarron Willingham, Masahisa Handa, Yimin Zhu, Grace Pham Mortenson, Ying Chen
article en

Abstract

Rheumatoid arthritis (RA) is an autoimmune disorder characterized by synovial inflammation and progressive joint destruction. There is no cure, and patient responses to current therapies vary, reflecting underlying pathogenic heterogeneity. Leveraging single-cell RNA sequencing (scRNA-seq) of RA synovium, we identified a PLAUR/uPAR-high myeloid subset that co-expresses pathogenic mediators, including IL1B and CXCL8. To target these cells, we developed anti-uPAR antibody–drug conjugates (ADCs) and evaluated various payloads in vitro and in vivo. ADCs bearing BCL-2 family inhibitors selectively induced apoptosis in proinflammatory human monocytes and macrophages with elevated uPAR, while sparing unstimulated monocytes with low basal uPAR in vitro. The treatment also reduced CXCL8 secretion. Given that murine myeloid cells exhibited lower uPAR expression and reduced sensitivity to BCL-2 family inhibitors, we used a monomethyl auristatin F (MMAF) payload to demonstrate in vivo proof-of-concept. In an air-pouch model, the anti-uPAR–MMAF conjugate reduced uPARhighCD11b+F4/80+ macrophages by 39% compared with the isotype control. Together, our study underscores the potential of ADCs to eliminate disease-relevant cell types with inducible cell surface markers. This work opens new avenues for exploring cytotoxic ADCs as targeted therapies for autoimmune and inflammatory diseases.

CellsVol. 15(9)
Merck & Co., Inc., Rahway, NJ, USA (United States) (US), Quantitative BioSciences (US)
Good health and well-being
Openalex Percentile: Top 10%
Immune cells in cancer
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.