Single-cell heterogeneity of adipose eosinophils is shaped by sex and RELMα and linked to macrophage communication networks in obesity

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ID: 333766
2026
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Abstract
Abstract 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. Building on our prior functional study showing that the immunoregulatory protein RELMα and eosinophils contribute to female protection from high-fat diet-induced obesity, we used single-cell transcriptional profiling to study adipose eosinophil states at higher resolution. We identify six transcriptionally distinct eosinophil clusters whose relative abundance differs by sex, helminth infection, and RELMα status. Adipose tissue from females or helminth-infected mice is enriched for eosinophil clusters with type 2/homeostatic-associated transcriptional programs, whereas males and RELMα-deficient mice have increased representation of inflammatory/MHCII-associated clusters together with an altered predicted macrophage–eosinophil communication networks. Spectral flow cytometry and adipose tissue in situ hybridization independently support eosinophil heterogeneity and candidate chemokine-receptor interactions. Through single-cell regulatory network inference and clustering (SCENIC) analysis, we further identified transcription factor regulons unique to the specific eosinophil clusters, including sex-differential and high-fat diet enriched regulatory programs supported by target-gene expression patterns. Collectively, these data provide a framework for describing adipose eosinophil heterogeneity within a previously established RELMα–macrophage–eosinophil axis and identify candidate transcriptional and communication programs for future functional testing.
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Authors Rebecca Elizabeth Ruggiero-Ruff, Xinru Qiu, Lauren Vance, Yuxin He, Djurdjica Coss, Adam Godzik, Meera Goh Nair
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Journal PNAS nexus
Year 2026
DOI
10.1093/pnasnexus/pgag365
URL
https://doi.org/10.1093/pnasnexus/pgag365
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