Nanoparticle-boosted myeloid-derived suppressor cell therapy for immune reprogramming in multiple sclerosis

Massive immune cell infiltration and persistent inflammation in the central nervous system (CNS) are key hallmarks of multiple sclerosis. Here, we report a myeloid-derived suppressor cell (MDSC)-based therapeutic strategy, named CNS Immune Targeting Enabled by MDSCs (CITED), which uses surface-decorated MDSCs carrying rapamycin nanoparticles (NPs) for targeted multimodal immune reprogramming in CNS. We show that NP decoration enhances MDSC immunomodulatory function, facilitates their trafficking to inflamed CNS regions, and increases NP accumulation within CNS. In an experimental autoimmune encephalomyelitis model, CITED exhibited robust therapeutic efficacy, resulting in reduced disease progression, improved motor function, and diminished myelin damage. Mechanistic studies reveal that CITED exerts its therapeutic effects by targeted reprogramming of both innate and adaptive immune responses in CNS. Specifically, CITED inhibits immune cell infiltration, rebalances CD4 T cell phenotypes, and promotes the polarization of myeloid cells toward anti-inflammatory phenotypes. Collectively, CITED could provide a broadly effective approach for targeted immune restoration in multiple sclerosis and potentially other autoimmune diseases.

Authors

Institutions

Publication Details

Journal
Science Advances
Published
2025-10-15
DOI
https://doi.org/10.1126/sciadv.ady4135
Citations
3
Primary Topic
Immune cells in cancer
Type
article
Field-Weighted Citation Impact
2.39
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Nanoparticle-boosted myeloid-derived suppressor cell therapy for immune reprogramming in multiple sclerosis

Philana Phan, Dejan Nikolić, Shubhi Srivastava, Luyu Zhang et al.
3 citations
Science Advances
Immune cells in cancer
2.39
article

Nanoparticle-boosted myeloid-derived suppressor cell therapy for immune reprogramming in multiple sclerosis

Philana Phan, Dejan Nikolić, Shubhi Srivastava, Luyu Zhang, Edidiong Udofa, Chih-Jia Chao, Endong Zhang, Qing Bao, Zongmin Zhao, Seung Young Lee, Shan He, Jalees Rehman, Hanan Ahmed Algarni, Dahee Jung, Aditi Upadhye
article en
3 citations

Abstract

Massive immune cell infiltration and persistent inflammation in the central nervous system (CNS) are key hallmarks of multiple sclerosis. Here, we report a myeloid-derived suppressor cell (MDSC)-based therapeutic strategy, named CNS Immune Targeting Enabled by MDSCs (CITED), which uses surface-decorated MDSCs carrying rapamycin nanoparticles (NPs) for targeted multimodal immune reprogramming in CNS. We show that NP decoration enhances MDSC immunomodulatory function, facilitates their trafficking to inflamed CNS regions, and increases NP accumulation within CNS. In an experimental autoimmune encephalomyelitis model, CITED exhibited robust therapeutic efficacy, resulting in reduced disease progression, improved motor function, and diminished myelin damage. Mechanistic studies reveal that CITED exerts its therapeutic effects by targeted reprogramming of both innate and adaptive immune responses in CNS. Specifically, CITED inhibits immune cell infiltration, rebalances CD4 T cell phenotypes, and promotes the polarization of myeloid cells toward anti-inflammatory phenotypes. Collectively, CITED could provide a broadly effective approach for targeted immune restoration in multiple sclerosis and potentially other autoimmune diseases.

Science AdvancesVol. 11(42)
University of Illinois Urbana-Champaign (US), University of Illinois Chicago (US)
Openalex Percentile: Top 10%
Immune cells in cancer
2.39
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.