Eosinophil—macrophage crosstalk controls obesity-associated adipose inflammation and is stabilized by RELMα in a sex-dependent manner 2309540

R Rebecca Ruggiero-Ruff (University of California Riverside, Riverside, California) X Xinru Qiu (University of California, Riverside) Y Yuxin He (State Key Laboratory of Precision Measurement Technology and Instruments, School of Precision Instruments and Optoelectronics Engineering, Tianjin University, 92 Weijin Road, Tianjin 300072, China) L Lauren Vance D Djurdjica Coss (University of California, Riverside) A Adam Godzik (University of California, Riverside) M Meera Nair (University of California, Riverside)

Abstract

Abstract Introduction Eosinophils are immune cells with terminal effector functions in type 2 immune responses, yet recent findings suggest that they exhibit functional plasticity and heterogeneity dependent on tissue-specific cues. Methods 10x Genomics Fixed RNA Profiling was performed on Siglec-F+ purified adipose eosinophils and macrophages from PBS-injected or Nippostrongylus brasiliensis-infected high fat diet-fed male and female C57BL6/J or RELMÉ’-deficient (KO) mice. Results Through analysis of single cell transcription patterns of eosinophils in the adipose tissue, we show that they could be divided into stable subtypes and that the differences between conditions explained the changes and transition between the subtype populations. Protective eosinophils subtypes, stabilized by the macrophage protein RELMa, dominate in females and with helminth infection and maintain M2 macrophages in a macrophage-eosinophil regulatory loop that protects against obesity through pathways such as CCL6-CCR3, thrombospondin and fibronectin signaling. In contrast, the strength and direction of this regulatory loop is perturbed in males and RELMa deficient mice with a shift to inflammatory M1 macrophages. Validation of the eosinophil subtypes and chemokine/chemokine receptor pairings was performed by spectral flow cytometry and adipose tissue section imaging. Further, through single-cell regulatory network inference and clustering (SCENIC) analysis, we identify transcription factor regulons associated with specific eosinophil subtypes including cell cycle and DNA replication factors (E2F) in C0 and C1 subtypes. Conclusion Collectively, these results provide a novel way to describe eosinophil heterogeneity and decipher the mechanism underlying changes in eosinophil subtype composition that influence pro-inflammatory or homeostatic effects. Manipulation of the regulons or ligand/receptor interactions provide a powerful opportunity to restore adipose homeostasis in obesity. Funding Source NIH R21AI180561, NIH R01AI191470, UCR School of Medicine Dean’s Postdoc to Faculty award, TRANSCEND fellowship from the California Institute of Regenerative Medicine (Award # EDUC4-12752). Topic Categories Innate Immune Responses and Host Defense: Cellular Mechanisms (INC)

Article Details

Volume / Issue Vol. 215, Issue Supplement_1
Published August 01, 2026
ISSN 0022-1767
Publisher American Association of Immunologists

Authors (7)

R

Rebecca Ruggiero-Ruff

University of California Riverside, Riverside, California

X

Xinru Qiu

University of California, Riverside

Y

Yuxin He

State Key Laboratory of Precision Measurement Technology and Instruments, School of Precision Instruments and Optoelectronics Engineering, Tianjin University, 92 Weijin Road, Tianjin 300072, China

L

Lauren Vance

D

Djurdjica Coss

University of California, Riverside

A

Adam Godzik

University of California, Riverside

M

Meera Nair

University of California, Riverside