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Spatial transcriptomics identifies differentiation, lipid metabolism, and retinoid pathway alterations in acne vulgaris
Joseph S. Durgin, Natalia A. Veniaminova, Thomas J. Huyge, Shih-Ying Tsai, Jennifer Fox, Yuli Cai, Mrinal K. Sarkar, Lam C. Tsoi, Johann E. Gudjonsson, Sunny Y. Wong
Joseph S. Durgin, Natalia A. Veniaminova, Thomas J. Huyge, Shih-Ying Tsai, Jennifer Fox, Yuli Cai, Mrinal K. Sarkar, Lam C. Tsoi, Johann E. Gudjonsson, Sunny Y. Wong
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Research Article Dermatology Development

Spatial transcriptomics identifies differentiation, lipid metabolism, and retinoid pathway alterations in acne vulgaris

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Abstract

Acne vulgaris is a common skin condition involving complex interactions among lipid-secreting sebaceous glands, keratinocytes, immune cells, and microbiota. While retinoids are effective for treating acne, disease pathogenesis remains poorly understood. In particular, it remains unclear how different subtypes of acne, including inflammatory (pustular) and noninflammatory (comedonal) lesions, vary in gene expression, signaling, and sebaceous gland involvement. Here, we performed spatial transcriptomics on healthy, nonlesional, comedonal, and pustular acne skin using a custom panel targeting sebaceous differentiation, lipid metabolism, and retinoid signaling pathways. We also designed a specialized segmentation pipeline to improve transcript assignment in the spatially complex sebaceous gland. Our analyses identified a PPARG+ transitional basal cell state in sebocytes and revealed that comedonal skin upregulates sebogenesis genes, whereas pustular skin downregulates sebogenesis. Both lesion types exhibited increased AP-1 transcription factors and elevated FABP5, a chaperone that blunts retinoic acid receptor signaling. Finally, we demonstrated that an AP-1 inhibitor, T-5224, downregulates FABP5 in human keratinocytes and reduces pustule formation in a mouse model of high-fat diet–induced folliculitis. Altogether, these findings indicate that altered lipogenesis, retinoid signaling, and keratinocyte differentiation are key features of acne, and nominate AP-1 and FABP5 as potential therapeutic targets.

Authors

Joseph S. Durgin, Natalia A. Veniaminova, Thomas J. Huyge, Shih-Ying Tsai, Jennifer Fox, Yuli Cai, Mrinal K. Sarkar, Lam C. Tsoi, Johann E. Gudjonsson, Sunny Y. Wong

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Figure 1

Sebaceous gland microanatomy and evaluation of different segmentation approaches.

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Sebaceous gland microanatomy and evaluation of different segmentation ap...
(A) Normal sebaceous gland stained for KRT5 (green) and KRT79 (red). The white arrow indicates the thin KRT5+ basal cell layer at the periphery. (B) KRT5 (red) and PPARG (green) in healthy skin. A subset of peripheral KRT5+ basal cells coexpresses PPARG, similar to in mice (34). KRT5+ septations (arrow) usually do not express PPARG. (C) Cell boundaries (white lines) drawn by default Xenium segmentation with multimodal segmentation fail to capture the slender contours of peripheral sebaceous gland basal cells (arrow). (D) Depiction of our custom segmentation approach, using KRT5 transcript coordinates (yellow dots) to refine cell boundaries (oval dotted line represents nuclear expansion-based cell contours). (E) Comparison of 4 segmentation methods (default, 2 μm nuclear expansion, 5 μm nuclear expansion, and KRT5-directed) in a representative healthy sebaceous gland. The black arrow points to a differentiated sebocyte (KRT5–), where multimodal information is preserved using default parameters. (F–H) Comparison of total transcripts per cell, KRT79 normalized expression, and KRT5 normalized expression across segmentation methods in sebaceous gland basal cells from a representative healthy sample. Statistical significance was calculated using a 1-way ANOVA with post hoc t test and Tukey’s correction for multiple comparisons (*P < 0.05; ***P < 0.001; ****P < 0.0001). Data are shown as mean ± 95% CI. Scale bars: 50 μm.

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