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Biogeographic and disease-specific alterations in epidermal lipid composition and single-cell analysis of acral keratinocytes
Alexander A. Merleev, … , Johann E. Gudjonsson, Emanual Maverakis
Alexander A. Merleev, … , Johann E. Gudjonsson, Emanual Maverakis
Published July 28, 2022
Citation Information: JCI Insight. 2022;7(16):e159762. https://doi.org/10.1172/jci.insight.159762.
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Resource and Technical Advance Dermatology

Biogeographic and disease-specific alterations in epidermal lipid composition and single-cell analysis of acral keratinocytes

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Abstract

The epidermis is the outermost layer of skin. Here, we used targeted lipid profiling to characterize the biogeographic alterations of human epidermal lipids across 12 anatomically distinct body sites, and we used single-cell RNA-Seq to compare keratinocyte gene expression at acral and nonacral sites. We demonstrate that acral skin has low expression of EOS acyl-ceramides and the genes involved in their synthesis, as well as low expression of genes involved in filaggrin and keratin citrullination (PADI1 and PADI3) and corneodesmosome degradation, changes that are consistent with increased corneocyte retention. Several overarching principles governing epidermal lipid expression were also noted. For example, there was a strong negative correlation between the expression of 18-carbon and 22-carbon sphingoid base ceramides. Disease-specific alterations in epidermal lipid gene expression and their corresponding alterations to the epidermal lipidome were characterized. Lipid biomarkers with diagnostic utility for inflammatory and precancerous conditions were identified, and a 2-analyte diagnostic model of psoriasis was constructed using a step-forward algorithm. Finally, gene coexpression analysis revealed a strong connection between lipid and immune gene expression. This work highlights (a) mechanisms by which the epidermis is uniquely adapted for the specific environmental insults encountered at different body surfaces and (b) how inflammation-associated alterations in gene expression affect the epidermal lipidome.

Authors

Alexander A. Merleev, Stephanie T. Le, Claire Alexanian, Atrin Toussi, Yixuan Xie, Alina I. Marusina, Steven M. Watkins, Forum Patel, Allison C. Billi, Julie Wiedemann, Yoshihiro Izumiya, Ashish Kumar, Ranjitha Uppala, J. Michelle Kahlenberg, Fu-Tong Liu, Iannis E. Adamopoulos, Elizabeth A. Wang, Chelsea Ma, Michelle Y. Cheng, Halani Xiong, Amanda Kirane, Guillaume Luxardi, Bogi Andersen, Lam C. Tsoi, Carlito B. Lebrilla, Johann E. Gudjonsson, Emanual Maverakis

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Figure 10

Epidermal lipid expression can diagnose skin diseases.

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Epidermal lipid expression can diagnose skin diseases.
Tape strippings w...
Tape strippings were performed on lesional skin and control healthy skin. Each column represents a stratum corneum tape-stripping sample (grouped by diagnostic category). (A) Heatmap of lipid abundance in psoriasis (NN = normal healthy skin [gray, n = 20], PN = nonlesional psoriasis skin [blue, n = 16], and P = lesional psoriasis skin [red, n = 37]). Each row represents a monitored lipid, with red representing increased expression and blue representing decreased expression. Rows were sorted by standard mean difference (SMD). To construct heat maps to compare lipid abundances, lipid peak intensity values were preprocessed using the “scale and center” function in R, which subtracts the mean value of the analyte and divides the result by the standard deviation for that analyte. (B) Heatmap of lipid abundance in atopic dermatitis (AN = nonlesional atopic dermatitis skin [green, n = 10] and AD = lesional atopic dermatitis skin [purple, n = 9]). (C) Principal component analysis of relative lipid abundance data. Each dot represents 1 epidermal sample. Each color represents a diagnostic group (normal healthy skin [light gray], psoriasis lesional [red], psoriasis nonlesional [light blue], atopic dermatitis lesional [purple], atopic dermatitis nonlesional [green], actinic keratosis lesional [yellow], seborrheic keratosis lesional [dark blue], and tinea lesional [dark gray]). (D) Cluster dendrogram with Euclidian distance represented on the horizontal axis (AD, atopic dermatitis lesional; AK, actinic keratosis lesional; AN, atopic dermatitis nonlesional; NN, normal healthy skin; PN, psoriasis nonlesional; PP, psoriasis lesional; TI, tinea lesional). (E) Left: Receiver operating characteristic curve (ROC) for the single analyte classifier, NH ceramide Cer(t18:1[6OH]/30:0), demonstrates its ability to distinguish psoriatic lesional skin (PP) from all other diagnostic groups (NN, PN, PP, AK, SK, TI, and AD) combined (AUC, 0.96). Right: ROC for the 2-analyte classifier, NH ceramide Cer(t18:1[6OH]/30:0) + AS ceramide Cer(d16:1/28:0[2OH]), capable of distinguishing psoriatic lesional skin from all other diagnostic groups combined. The AUC for the 2-analyte classifier was 0.98 ± 0.02 (5-fold cross-validated).

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