The AhR-Ovol1-Id1 regulatory axis in keratinocytes promotes epidermal and immune homeostasis in atopic dermatitis-like skin inflammation

Introduction

Atopic dermatitis (AD) is the most common inflammatory skin disease and affects 15–20% of children and up to 10% of adults [1]. Environmental allergens such as house dust mites (HDMs) are common triggers, whereas a defective skin epidermal barrier caused by genetic mutations (e.g., FLG) and/or inflammatory cytokines is a salient feature, of AD [2,3,4,5,6,7]. AD skin is usually heavily colonized by the pathogenic bacteria Staphylococcus aureus, which further aggravates the epidermal barrier and immune defects to perpetuate disease progression [2]. Type 2 immunity, characterized by the production of T helper 2 (Th2)-related cytokines (e.g., IL-4 and IL-13) and the activation of eosinophil/mast cells [8], contributes to AD pathogenesis by impairing the epidermal barrier and causing symptoms such as inflammation and itch [5,6,7, 9,10,11]. Emerging evidence suggests that type 3 immunity, characterized by the production of Th17-related cytokines (e.g., IL-17A) and the recruitment of neutrophils, is also involved in AD development, especially in intrinsic, pediatric or Asian patients, by fueling the type 2 immune response [3, 8, 12, 13]. Biologics that target IL-4/IL-13 or small molecule inhibitors that target JAK/STAT signaling have shown efficacy in treating AD patients [14, 15]. However, not all patients respond optimally to these treatments. Further advancements in therapy require a deeper understanding of the molecular and cellular mechanisms underlying AD-associated barrier dysregulation and inflammation. In particular, epidermal-intrinsic mechanisms that increase barrier strength while regulating early immunological responses to AD-associated allergen/pathogen attacks are ideal therapeutic targets given the potential for topical treatment, but such mechanisms remain largely elusive.

Aryl hydrocarbon receptor (AhR), an environment-sensing xenobiotic receptor and ligand-activated transcription factor vital for skin immune homeostasis and barrier maintenance, has attracted attention as a therapeutic target for both AD and psoriasis [16,17,18,19,20]. Specifically, the AhR agonist tapinarof has recently been approved by the FDA as a first-of-its-kind topical drug for psoriasis and is in clinical trials for AD. This shared efficacy implies that AhR is involved in early and common events of skin inflammation. However, surprisingly little is known regarding the cellular and molecular targets of AhR, the activation of which can elicit both anti-inflammatory and proinflammatory consequences in animal and patient studies [21,22,23,24,25]. Thus, dissecting the downstream mediators, especially the anti-inflammatory arm, of the AhR function in the skin is important from both basic science and clinical perspectives.

In this study, we identified OVOL1/Ovol1 as a direct transcriptional target of AhR that, in turn, modifies AhR regulation of epidermal keratinocyte gene expression and barrier function. Human OVOL1 encodes a zinc finger transcriptional repressor and has been identified by genome-wide association studies to be an AD and acne risk locus [26,27,28]. Mouse Ovol1 promotes epidermal cell cycle arrest and suppresses psoriasis-like skin inflammation [29,30,31,32]. Here, we show that keratinocyte-specific deficiency of Ovol1 exacerbates AD-like inflammation induced by treatment with HDM and Staphylococcus aureus-derived toxin staphylococcal enterotoxin B (SEB), two environmental agents relevant to human AD pathogenesis [2] that are known to induce AD-like phenotypes in mice when used in combination [33]. We found that Ovol1 does so by repressing the expression of myriad downstream targets, including the transcription factor-encoding Id1, the inhibition of which partially rescues Ovol1 deficiency-associated barrier disruption and neutrophil infiltration. We also identified dermal gamma delta T (γδT) cells and IL-1 signaling as critical cellular and molecular mediators of AD-like inflammation downstream of Ovol1 deficiency-induced barrier dysregulation. Finally, we present data suggesting the clinical importance of OVOL1 and ID1 functions in human AD. Our study highlights a keratinocyte-intrinsic AhR-Ovol1-Id1 regulatory axis that functions at the environment-barrier-immune interfaces to protect skin homeostasis against skin inflammation and implicates new therapeutic targets for both AD and psoriasis.

Results

AhR directly activates OVOL1 expression in human keratinocytes to suppress the cell cycle and promote differentiation

Chemical activation of AhR in cultured normal human epidermal keratinocytes (NHEKs) upregulates OVOL1 [26], but the underlying regulatory mechanism is unknown. We examined the sequence of the OVOL1 promoter and identified several AhR-binding motifs (GCGTG) (Fig. 1A). ChIP‒qPCR analysis of NHEKs revealed that AhR physically binds to these sites, as it does to CYP1A1, a well-known AhR downstream target [34] (Fig. 1B). Furthermore, small interfering RNA (siRNA)-mediated silencing of AHR expression in NHEKs resulted in significant downregulation of not only the AHR canonical targets CYP1A1 and CYP1B1 [34] but also OVOL1 mRNA expression (Fig. 1C). These results demonstrate that OVOL1 is a direct transcriptional target of the endogenous AhR protein in human keratinocytes.

Fig. 1
figure 1

OVOL1 is a direct target of AhR and affects its regulation of gene expression in human keratinocytes. A Genome browser track for the indicated ChIP-seq signals across the OVOL1 locus. The red bar indicates the presence of the AhR binding motif (GCGTG). B ChIP‒qPCR results of the indicated genes in FICZ-treated NHEKs. The IgG control values were normalized to 1. C RT‒qPCR results of the indicated genes in scrambled or AHR siRNA-treated NHEKs. D Volcano plots showing differential gene expression in the indicated samples. ND: siNC (negative control) + DMSO; NF: siNC + FICZ; OD: siOVOL1 + DMSO; OF: siOVOL1 + FICZ. E Venn diagrams of differentially expressed genes (DEGs) showing overlap between FICZ-induced genes (NF vs. ND) and OVOL1-dependent genes (OF vs. NF). UP upregulated. Down, downregulated. The numbers of DEGs are indicated. F Heatmap of the DEGs from E. G, H Ingenuity pathway analysis of the 180 (G) or 132 (H) overlapping DEGs from E. I Heatmap of DEGs in the indicated pathways. J RT‒qPCR results of the indicated genes in DMSO- or FICZ-treated NHEKs with or without OVOL1 knockdown. The results are summarized from 3 (B, C, J) or 2 (D) independent experiments. For B, C and J, the data are presented as the means ± SEMs. *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001. p values were calculated via 2-tailed unpaired Student’s t test (B and C) or two-way ANOVA (J)

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Next, we assessed the importance of OVOL1 in mediating AhR function in human keratinocytes. Treatment of NHEKs with the AhR agonist 6-formylindolo[3,2-b]carbazole (FICZ) led to increased and decreased expression of 448 and 392 genes, respectively, in the presence of a scrambled siRNA, with OVOL1, CYP1A1, and CYP1B1 being among the elevated genes (Fig. 1D, Supplementary Fig. S1A, Supplementary Table S1). Metascape analysis of the FICZ-induced genes revealed “skin development”, “skin epidermis development”, and “metabolism of lipids” as the top terms (Supplementary Fig. S1B, Supplementary Table S2), whereas the FICZ-suppressed genes were enriched for “mitotic cell cycle process”, “cell cycle”, and “positive regulation of cell migration” terms (Supplementary Fig. S1C, Supplementary Table S3). The knockdown of OVOL1 in DMSO-treated NHEKs increased the expression of 304 genes and decreased the expression of 542 genes (Supplementary Fig. S1D, E, Supplementary Table S4). The downregulated genes were enriched for “skin development”, “positive regulation of hydrolase activity”, and “metabolism of lipids” (Supplementary Fig. S1F, Supplementary Table S5), whereas the upregulated genes were enriched for “cytokine signaling in the immune system”, “network map of the SARS-CoV-2 signaling pathway”, and “rhythmic process” (Supplementary Fig. S1G, Supplementary Table S6). These results reveal both overlapping (skin development and lipid metabolism) and divergent (cell cycle control vs. immune modulation) functions of AhR and OVOL1 in human keratinocytes.

We then examined how FICZ shapes OVOL1 function and vice versa. We found that OVOL1 knockdown in FICZ-treated NHEKs increased the expression of 559 genes and decreased the expression of 683 genes (Fig. 1D, Supplementary Fig. S1H; Supplementary Table S7). The downregulated genes were enriched for “keratinization”, “NOD-like receptor signaling pathway”, and “IL-18 signaling pathway” (Supplementary Fig. S1I, Supplementary Table S8). The upregulated genes were enriched for “mitotic cell cycle”, “cell cycle”, and “positive regulation of cell cycle process” (Supplementary Fig. S1J, Supplementary Table S9). These results, together with the findings above, suggest a partial shift in the molecular function of OVOL1, from predominantly regulating immune activity under homeostatic conditions to suppressing the cell cycle when AhR signaling is activated by an exogenous ligand. Among the 448 genes upregulated and 392 genes downregulated by FICZ alone, 40.2% (180/448) and 33.7% (132/392), respectively, were dependent on OVOL1 expression (Fig. 1E, F, Supplementary Table S10), underscoring the critical importance of OVOL1 in AhR-directed gene expression. Interestingly, FICZ induction of CYP1A1, but not CYP1B1, was dependent on OVOL1 (Supplementary Table S10). The top enriched pathways in the FICZ-induced, OVOL1-dependent genes were “formation of the cornified envelope”, “unsaturated fatty acid metabolic process”, and “metabolism of lipids” (Fig. 1G, I; Supplementary Table S11). The top enriched terms in the FICZ-suppressed, OVOL1-dependent genes were “mitotic cell cycle process”, “regulation of chromosome segregation”, and “cell cycle” (Fig. 1H, I, Supplementary Table S12). RT‒qPCR analysis confirmed the failure of FICZ to upregulate genes involved in the “formation of the cornified envelope” pathway (e.g., LCE3A, LCE3C, CDSN and RPTN) and downregulated genes involved in the “mitotic cell cycle process” pathway (e.g., KIF2C, AURKB, CEP55 and UBE2C) after OVOL1 depletion (Fig. 1I, J). These data show that activated AhR signaling in human keratinocytes requires OVOL1 to promote the expression of genes associated with epidermal differentiation and lipid metabolism and to inhibit the expression of genes associated with the cell cycle.

To further investigate the correlation between AhR and OVOL1 function in human keratinocytes, we silenced AHR in NHEKs to compare it with OVOL1 deficiency-induced molecular changes. The knockdown of AHR resulted in the downregulation of 233 genes and the upregulation of 380 genes (Supplementary Table S13), with 17.2% (40/233) of the downregulated genes and 25.8% (98/380) of the upregulated genes overlapping with genes regulated by OVOL1 (Supplementary Fig. S1K, L, Supplementary Tables S14, 15). The common downregulated genes were enriched for “cholesterol biosynthesis”, “keratinization”, and “cellular response to metal ions” (Supplementary Fig. S1M, Supplementary Table S16). The commonly upregulated genes were enriched for “interferon alpha/beta signaling”, “cellular response to mineralocorticoid stimulus”, and “regulation of nervous system development” (Supplementary Fig. S1N, Supplementary Table S17). These data support the idea that both AhR and OVOL1 regulate processes such as lipid metabolism, differentiation, and immune-associated responses in human keratinocytes.

Collectively, our findings suggest a mechanistic model in which AhR directly activates the expression of OVOL1, which in turn affects the ability of AhR to reprogram keratinocyte gene expression from a pro-proliferation state to a pro-differentiation state.

AhR activates Ovol1 expression in mouse keratinocytes and relies on Ovol1 for its downstream in vivo function in promoting barrier robustness against AD stimuli

The dramatic differences between human and mouse skin [35, 36] suggest that conservation of regulatory mechanisms cannot be assumed. To determine whether Ovol1 is a direct target of AhR in mice, we analyzed published AhR ChIP-seq data from primary murine keratinocytes [37] and found that AhR directly binds to the mouse Ovol1 promoter (Fig. 2A). Interestingly, interrogation of published RNA sequencing (RNA-seq) data on primary keratinocytes from Ahr+/+ and Ahr−/− mice [38] revealed significantly decreased expression of Cyp1b1 and Ovol1 but not other known AhR targets, such as Cyp1a1, Bax [39], Cdkn1b [40], Gsta1, Gsta2 [41] and Hsp90aa1 [17], in Ahr−/− keratinocytes (Fig. 2B, Supplementary Fig. S2A). Moreover, analysis of published RNA-seq data from the epidermis of newborn wild-type (WT) and constitutively active AhR (AhR-CA) mice [37] revealed a significant overlap in the genes upregulated by AhR-CA and FICZ, including Ovol1 and other known AhR targets (Supplementary Fig. S2B). Therefore, the direct activation of Cyp1a1/CYP1A1, Cyp1b1/CYP1B1, and Ovol1/OVOL1 by AhR in epidermal keratinocytes is likely evolutionarily conserved, although not all AhR targets exhibit this response.

Fig. 2
figure 2

AhR requires Ovol1 to mediate target activation and barrier maintenance in mice. A Genome browser tracks for the indicated ChIP-seq signals across the Ovol1 locus. The green box highlights the AhR-bound region. B RNA-seq results of the indicated genes in mouse primary keratinocytes from Ahr+/+ (n = 4) or Ahr−/− (n = 3) mice. C Experimental design for FICZ treatment in DG. DMSO was used as a vehicle control. D RT‒qPCR results of the indicated genes in whole skin on day 11. Data are presented as the means ± SEMs. n = 4 mice per group. E Time course showing TEWL measurements. n = 5–9 mice per group. F Representative skin histology (H&E staining) on day 11. Scale bar = 100 μm. G Quantification of epidermal thickness. n = 3–4 mice per group. For D, the data are presented as the means ± SEMs. *p < 0.05, **p < 0.01, ***p < 0.001. ns nonsignificant. p values were calculated via 2-tailed unpaired Student’s t test (B) or two-way ANOVA (D, E and G)

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AhR signaling in keratinocytes promotes barrier integrity against AD-associated perturbations [17, 18, 23, 42], whereas AhR expression is significantly decreased in the AD epidermis (Supplementary Fig. S2C, D) [43]. Therefore, we asked whether Ovol1 is required for the barrier-promoting function of AhR. We administered FICZ or DMSO via intraperitoneal (i.p.) injection to skin epithelium-specific Ovol1 knockout (SSKO: K14-Cre;Ovol1f/-) mice and control littermates that were treated with HDM/SEB (Fig. 2C). As expected, FICZ was able to rescue skin barrier dysfunction and epidermal hyperplasia in a manner dependent on AhR expression in keratinocytes (Supplementary Fig. S2E–H). Moreover, FICZ elevated Cyp1a1, Cyp1b1, and Ovol1 expression in the skin of control mice (Fig. 2D, Supplementary Fig. S2I), further indicating that these genes are bona fide AhR targets. The FICZ-induced upregulation of Cyp1b1, but not other AhR targets, was abolished in the SSKO mice (Fig. 2D, Supplementary Fig. S2J). ChIP‒qPCR and ChIP‒seq (see below) experiments revealed strong Ovol1 binding to the Cyp1b1 promoter (Supplementary Fig. S2K, L), suggesting feedforward regulation (Supplementary Fig. S2M). Importantly, FICZ partially normalized trans-epidermal water loss (TEWL) in HDM/SEB-treated control mice but failed to reverse exacerbated barrier dysfunction in their SSKO counterparts (Fig. 2E). Histological analysis of skin sections revealed that FICZ treatment significantly reduced epidermal thickness in HDM/SEB-treated control mice but not in SSKO mice (Fig. 2F, G). Together, these in vivo data provide evidence that the function of AhR in target activation and barrier promotion depends on the expression of Ovol1 in keratinocytes.

Ovol1 in keratinocytes protects skin from AD-like barrier dysregulation and pathology

Our discovery that Ovol1 is a direct and functionally significant target of AhR raises the question of whether Ovol1 itself plays a regulatory role in AD-like skin inflammation. To address this, we analyzed published single-cell RNA-seq data from whole-skin samples from healthy individuals and AD patients [44] and observed downregulated OVOL1 expression in AD keratinocytes, especially in lesional skin (Fig. 3A, Supplementary Fig. S3A). In situ detection of OVOL1 RNA validated its reduced expression in AD lesional skin epidermis (Fig. 3B). In support of the functional relevance of this observation, the deletion of Ovol1 from mouse keratinocytes significantly aggravated the HDM/SEB-induced epidermal phenotypes, as evidenced by the more severe barrier disruption and epidermal hyperplasia in the SSKO mice than in their control littermates (Fig. 2E–G), findings that held true when the experiments were repeated with no DMSO (Fig. 3C–H). The TEWL values were greater and epidermal thickening is more prominent in HDM/SEB-treated SSKO mice than in control littermates, and the other AD-like skin phenotypes, as measured by the clinical scores of skin eruption, scaling, bleeding and redness as well as dermal thickening, were significantly more severe in SSKO mice than in their control littermates (Fig. 3C–H, Supplementary Fig. S3B).

Fig. 3
figure 3

Ovol1 deficiency in keratinocytes aggravates AD-like skin inflammation. A Violin plots of OVOL1 expression in keratinocytes from healthy, lesional, and nonlesional skin. B Expression of the keratin 10 protein and OVOL1 RNA in healthy and lesional skin (n = 10 per group). DAPI was used to stain the nuclei. Scale bar = 40 μm. C Experimental design for HDM/SEB treatment in EH. D Representative photographs of HDM/SEB-treated control (Ctrl) and SSKO mice on day 11. E TEWL values of HDM/SEB-treated Ctrl (n = 9) and SSKO (n = 9) mice. F Clinical scores of HDM/SEB-treated Ctrl (n = 8) and SSKO (n = 7) mice. G Representative skin histology (H&E staining) on day 11. Scale bar = 100 μm. The black arrowheads indicate spongiosis. Yellow arrowheads indicate epidermal infiltration of eosinophils. H Quantification of epidermal, dermal and total skin thickness in Ctrl (n = 6) and SSKO (n = 5) mice. I TEWL values of untreated Ctrl (n = 55) and SSKO (n = 51) mice. J Representative photographs of MC903-treated Ctrl and SSKO mice on day 11. K Ear thickness (mean ± SEM) of MC903-treated Ctrl (n = 6) and SSKO (n = 6) mice. *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001. p values were calculated via t tests followed by Benjamini‒Hochberg correction (A), 2-tailed unpaired Student’s t tests (E, F and H), Mann‒Whitney U tests (I) or two-way ANOVA (K, Ctrl + MC903 versus SSKO + MC903)

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At the histological level, the lesional skin of the SSKO mice, but not their control littermates, presented AD-like pathology, including spongiosis and epidermal infiltration of eosinophils (Fig. 3G, Supplementary Fig. S3C). Flow cytometry analysis revealed a trend toward an increase in the total number of Th2 cells, which play critical roles in AD pathogenesis [1, 3], per lymph node in SSKO mice, whereas the percentage of Th2 cells among CD4+ T cells was not significantly altered (Supplementary Fig. S3D, E). Compared with control skin, SSKO skin also contained more GATA3+ cells [GATA3 is a key transcription factor for Th2 cells [45]], particularly in regions enriched with T cells (CD3+) (Supplementary Fig. S3F). Interestingly, the protective role of Ovol1 against AD-like skin phenotypes was evident even after prolonged (3 rounds) exposure to HDMs and SEB (Supplementary Fig. S3G–K), suggesting a persistent long-term effect.

We also examined the impact of Ovol1 deletion during homeostasis and using another AD model, namely, ear skin responses to MC903 [46, 47]. During homeostasis, a slight but statistically significant increase in TEWL was observed in the SSKO mice, despite the absence of overt skin phenotypes and histological alterations (Fig. 3I, Supplementary Fig. S3L). Consistently, molecular differences were detected between the epidermis of Ovol1−/− and control littermates [30, 31] (Supplementary Fig. S3M–O, Supplementary Table S18–20). Compared with that of the control littermates, the skin of the MC903-treated SSKO mice was more symptomatic and significantly thicker (Fig. 3J, K). Compared with those of control littermates, the ears of Ovol1−/− mice also presented worsened skin inflammation and were significantly thicker (Supplementary Fig. S3P, Q). When a high dose of MC903 was used on the right ear, even the left ear skin (sham control) and back skin of Ovol1−/− mice were thicker and more proliferative than those of their control littermates were (Supplementary Fig. S3R–T), suggesting that local MC903 administration elicited a systemic effect in these mice. Interestingly, the serum levels of Cxcl2 and G-CSF, factors involved in neutrophil recruitment or maturation, were significantly elevated in Ovol1−/− mice compared with their control littermates (Supplementary Fig. S3U). Moreover, neutrophils were observed in the skin of both the directly applied (right) and sham control (left) ears of MC903-treated Ovol1−/− mice (Supplementary Fig. S3V, W).

Taken together, our data demonstrate the functional importance of Ovol1 in suppressing AD-like skin pathology in multiple experimental models under both acute and chronic perturbations and in preventing both local and consequential systemic effects.

Identification of downstream targets of Ovol1 in AD-like skin

To probe how Ovol1 protects against AD-like barrier dysregulation and skin pathology, we sought to identify its direct targets via ChIP-seq in primary mouse keratinocytes [32]. Using MACS2 broad peak calling, a total of 1109 Ovol1-bound peaks were identified that passed a significance threshold (q value < 0.05) (Supplementary Table S21). A large fraction (73%) of the peaks were found to reside in gene promoter regions within 1 kb of the transcription start site (TSS) (Fig. 4A, B). Substantial binding to distal intergenic sequences (10.6%) was also observed (Fig. 4B). Homer analysis revealed that ~50% of the Ovol1-bound loci contain at least one consensus binding motif (CCGTTA) (Fig. 4C), which is identical to the consensus binding sequence previously identified for recombinant Ovol1 [29]. Interestingly, 42.6% of the Ovol1-bound loci contain TTTTCGCG (Fig. 4C), a consensus motif for E2F transcription factor binding, suggesting that Ovol1 may also be recruited to a subset of its cognate promoters through binding to E2F sequences and/or through E2F/Rb complexes [48]. Metascape analysis of the Ovol1-bound genes revealed “tube morphogenesis”, “regulation of cell projection organization”, “regulation of cytoskeleton organization”, “regulation of mRNA stability”, “positive regulation of organelle organization”, and “regulation of the cell cycle process” as the top terms (Fig. 4D; Supplementary Table S22).

Fig. 4
figure 4

Identification of direct targets of Ovol1. A Line plots of the distance between the Ovol1 ChIP-seq peaks and the TSS. B Pie charts depicting annotated genomic features of the called ChIP-seq peaks. C Homer motif analysis showing the predominance of the Ovol consensus motif in the ChIP-seq peaks. D Metascape analysis of all the genes associated with peaks for Ovol1. E Genome browser track for the indicated ChIP-seq signals across the Krt14 locus. F ChIP‒qPCR results of Krt14 in mouse keratinocytes treated with Ca2+ (1.8 mM) for 24 h. The IgG control values were normalized to 1. Data are presented as the means ± SEMs. The results are summarized from 3 independent experiments. G Representative immunofluorescence images of keratin 14 protein, filaggrin protein, and RNAScope data of Krt14 mRNA in the lesional skin of HDM/SEB-treated Ctrl and SSKO mice on day 11. n = 3 mice per group. Scale bar = 50 μm. H Genome browser track for the indicated ChIP-seq signals across the Aqp3 locus. I ChIP‒qPCR results for Aqp3. See F for details. J RT‒qPCR results showing Aqp3 expression in the whole skin of HDM/SEB-treated Ctrl (n = 6) and SSKO (n = 5) mice on day 11. Data are presented as the means ± SEMs. K Representative immunofluorescence images of Aqp3 in the lesional skin of HDM/SEB-treated Ctrl and SSKO mice on day 11. n = 4 mice per group. Scale bar = 50 μm. L Geometric mean fluorescence intensity (gMFI) values of DCF fluorescence in epidermal keratinocytes from HDM/SEB-treated Ctrl and SSKO mice on day 11. The values of the Ctrl mice were normalized to 1. n = 3 mice per group. M Genome browser track for the indicated ChIP-seq signals across the Id1 locus. The red bars in E, H, and M indicate the presence of the Ovol1 binding motif (CCGTTA), and the green boxes highlight the Ovol1-bound regions. N ChIP‒qPCR results for Id1. See F for details. O RT‒qPCR results for Id1. See J for details. P Representative RNAScope data of Id1 mRNA in the lesional skin of HDM/SEB-treated Ctrl and SSKO mice on day 11. n = 3 mice per group. Scale bar = 50 μm. Q Representative immunofluorescence images of Id1 in the lesional skin of HDM/SEB-treated Ctrl and SSKO mice on day 11. n = 4 mice per group. Scale bar = 50 μm. R RT‒qPCR results of the indicated genes in DMSO- or FICZ-treated NHEKs with or without OVOL1 knockdown under M6 treatment conditions. The results are summarized from 3 independent experiments. DAPI in G, K, P and Q stains the nuclei. Data are presented as the means ± SEMs. *p < 0.05, **p < 0.01, ***p < 0.001. p values were calculated via 2-tailed unpaired Student’s t test (F, I, J, L, N and O) or two-way ANOVA (R)

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When we delved deeper into Ovol1 regulation of the cytoskeleton, we noted its direct binding to several keratin genes, including Krt5, Krt14, and Krt10 (Supplementary Table S21). Krt14 encodes keratin 14, an epidermal basal (stem/progenitor) cell-specific keratin that not only supports basal cell structure but also regulates keratinocyte proliferation and differentiation [49]. Our ChIP-seq results revealed Ovol1 binding at two regions in the Krt14 locus with different extents of H3K27ac, H3K4me1 and H3K4me3, which are histone modifications of active promoters/enhancers [50,51,52,53] (Fig. 4E). This binding was confirmed via ChIP‒qPCR (Fig. 4F). Importantly, the expression of both Krt14 mRNA and keratin 14 protein was considerably greater in the epidermis of HDM/SEB-treated SSKO mice than in that of control mice (Fig. 4G). This increase, together with the dramatically reduced expression of the terminal differentiation marker filaggrin in the suprabasal compartment of the SSKO epidermis (Fig. 4G), suggests that Ovol1-deficient keratinocytes are arrested in a progenitor cell/early differentiation state at least in part because of the loss of direct Ovol1-mediated repression of Krt14 expression.

Next, we cross-examined the Ovol1 ChIP-seq hits with genes whose expression was upregulated upon OVOL1 knockdown (Supplementary Fig. S1D, E) or Ovol1 deficiency. This comparison identified 17 Ovol1-bound genes (e.g., Dmwd, Fosb, Ganab, and Hic1) whose human homologs presented increased expression in OVOL1-depleted NHEKs (Supplementary Fig. S4A) and 39 Ovol1-bound genes (e.g., Aqp3, Id1, Slpi, and Stra6) whose expression was increased in Ovol1-deficient mouse epidermis (Supplementary Fig. S4B). The terms “organic hydroxyl compound transport” (Aqp3, Slc16a1 and Stra6) and “positive regulation of supramolecular fiber organization” (Id1, Psrc1 and Efemp2) were enriched in the 39 mouse genes (Supplementary Fig. S4C). Elevated expression of AQP3 and ID1 upon OVOL1 knockdown was also observed in NHEKs under suboptimal culture conditions (Supplementary Fig. S4D), leading us to focus on Aqp3 and Id1 as candidate Ovol1 targets in AD-like mouse skin inflammation.

A putative enhancer ~13 kb downstream of the Aqp3 gene was found to contain an Ovol1-binding consensus, and both ChIP-seq and ChIP‒qPCR results revealed that Ovol1 binds to this site in mouse keratinocytes (Fig. 4H, I). RT‒qPCR analysis revealed a significant increase in Aqp3 mRNA levels, whereas immunofluorescence staining revealed increased Aqp3 protein expression in the lesional skin of HDM/SEB-treated SSKO mice compared with that in the control skin (Fig. 4J, K). Since Aqp3 is known to promote H2O2 accumulation during skin inflammation [54], we compared H2O2 levels in the keratinocytes of HDM/SEB-treated SSKO and control mice and found that H2O2 levels were significantly elevated in the former (Fig. 4L).

Id1 is a known Ovol1 target in trophoblast cells and has been shown to promote keratinocyte proliferation [55,56,57]. Our ChIP-seq and ChIP‒qPCR results revealed that Ovol1 binds to a putative upstream enhancer of Id1 in mouse keratinocytes and that this enhancer contains an Ovol1-binding consensus sequence (Fig. 4M, N). RT‒qPCR/RNAScope and immunofluorescence staining revealed increased Id1 mRNA levels and expanded protein expression in the lesional skin epidermis of HDM/SEB-treated SSKO mice compared with their control counterparts (Fig. 4O‒Q). Additionally, OVOL1 knockdown led to a significant increase in the expression of both AQP3 and ID1 in FICZ-treated, but not DMSO-treated, NHEKs (Supplementary Fig. S4E). Moreover, FICZ-induced inhibition of AQP3 and ID1 mRNA expression in NHEKs treated with an inflammatory cytokine cocktail (containing IL-4, IL-17A, IL-22, oncostatin M, IL-1α, and TNF-α; see below) was alleviated by the depletion of OVOL1 (Fig. 4R). Together, these data show that Ovol1 plays a direct role in regulating genes associated with the cytoskeleton, reactive oxygen species, and cellular proliferation in AD-like skin. Additionally, they suggest the presence of a conserved AhR-Ovol1-Aqp3/Id1 regulatory axis.

Id1 regulates epidermal barrier integrity and neutrophil accumulation downstream of Ovol1 in AD-like skin

To determine whether aberrantly enhanced Id1 expression contributes to the disrupted skin barrier and pathology of SSKO mice, we utilized AGX51, a small chemical inhibitor that induces Id1 protein degradation [58] (Fig. 5A, B, Supplementary Fig. S5A). Compared with the DMSO vehicle control, i.p. administration of AGX51 significantly reduced TEWL and epidermal thickness and improved the AD-like clinical score in HDM/SEB-treated SSKO mice (Fig. 5A, C–G, Supplementary Fig. S5B, C). AGX51 treatment also decreased the TEWL and epidermal thickness in the HDM/SEB-treated WT mice (Supplementary Fig. S5D–F). These results show that Id1 is a functionally important target of Ovol1 in AD-associated epidermal barrier defects and skin pathology.

Fig. 5
figure 5

Inhibition of Id1 rescues AD-like symptoms, barrier disruption, and neutrophil accumulation in HDM/SEB-treated SSKO mice. A Experimental design for AGX51 treatment in BG, KL. DMSO was used as a vehicle control. B Representative immunofluorescence images of Id1 in the lesional skin of HDM/SEB-treated WT mice on day 11. DAPI was used to stain the nuclei. n = 5 mice per group. Scale bar = 50 μm. C TEWL values of DMSO- or AGX51-treated SSKO mice on day 11. n = 4–5 mice per group. D Representative photographs of DMSO- or AGX51-treated SSKO mice on day 11. E Clinical scores of the DMSO- or AGX51-treated SSKO mice on day 11. n = 5–6 mice per group. F Representative skin histology (H&E staining) on day 11. Scale bar = 50 μm. G Quantification of epidermal thickness. n = 5–6 mice per group. HJ Flow cytometry analysis of the back skin of HDM/SEB-treated Ctrl and SSKO mice on day 11. t-SNE visualization of the indicated cell types (H, I) and quantification of the number of the indicated immune cell types per gram of skin tissue (J) are shown. n = 6 for the Ctrl; n = 5 for the SSKO. K Quantification of the indicated immune cell types per gram of skin tissue in DMSO- or AGX51-treated SSKO mice on day 11. n = 4 mice per group. L RT‒qPCR results showing Il4 and Il17a expression in whole skin. Data are presented as the means ± SEMs. n = 4 mice per group. *p < 0.05, **p < 0.01. p values were calculated via 2-tailed unpaired Student’s t test

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To gain further insight into the immunological responses of the skin to Ovol1 deletion-induced AD-associated epidermal dysregulation, we conducted comprehensive immune cell profiling of control and SSKO skin during both homeostasis and AD-like inflammation. Langerhans cells (LCs) and dendritic epidermal T cells (DETCs) are immune cell types that reside within the mouse epidermis [59], and their relative abundance per total immune cells (CD45+) was not altered in the SSKO epidermis during homeostasis (Supplementary Fig. S6A–C). Similarly, the relative abundance of dermal T-cell subsets was unaffected in the SSKO mice under homeostatic conditions (Supplementary Fig. S6D–F). Upon stimulation with HDM and SEB, the SSKO skin contained significantly greater numbers of neutrophils, dendritic cells (DCs), CD11b+ cells, total T cells, and dermal γδT cells than did the control skin, whereas the numbers of LCs, DETCs, macrophages, CD4+ T cells, CD8+ T cells, and innate lymphoid cells (ILCs) were not significantly affected (Fig. 5H–J, Supplementary Fig. S7A–D). Intriguingly, dermal γδT cells were still increased in SSKO mice treated with 3 rounds of HDMs or SEB, whereas neutrophils and DCs were no longer significantly different from those in control mice at this time (Supplementary Fig. S7E–I).

Next, we examined the impact of Id1 inhibition on immune cell profiles in AD-like skin. Flow cytometry analysis revealed that AGX51 treatment significantly reduced the abundance of neutrophils, whereas dermal γδT and other immune cells remained unaffected in HDM/SEB-treated SSKO and WT mice (Fig. 5K, Supplementary Fig. S7J–M). Moreover, the expression of the type 2 and 3 cytokines Il4 and Il17a, respectively, was not significantly altered by Id1 inhibition (Fig. 5L). These data identify a specific role for Id1 in regulating neutrophil accumulation downstream of Ovol1 in AD-like skin.

IL-1 signaling promotes dermal γδT accumulation and pathology downstream of barrier dysregulation in AD-like SSKO skin

The dramatic and persistent increase in dermal γδT cells in AD-like SSKO skin led us to investigate whether these cells function downstream of Ovol1 deficiency-induced barrier dysregulation to promote exacerbated inflammation and pathology. These γδTCR-expressing innate T cells are integral components of the local immunosurveillance program in the skin; they typically serve as kick-starters of inflammation and are often the main producers of IL-17 in various models of inflammatory diseases [60,61,62,63,64]. However, their roles in AD-like skin inflammation appear complex, with an anti-inflammatory effect being suggested [65, 66]. We administered a γδTCR antibody to HDM/SEB-treated mice to functionally block γδT cells [67,68,69] (Fig. 6A). As expected, the γδTCR antibody nearly completely prevented flow cytometry detection of dermal γδT cells and DETCs (Fig. 6B). Importantly, this antibody treatment significantly alleviated AD-like skin phenotypes in SSKO mice, as indicated by the clinical score and epidermal and dermal thickness (Fig. 6C–F, Supplementary Fig. S8A, B), but did not significantly restore epidermal barrier function (Fig. 6G). Similar effects were observed in the AD-like skin of WT mice (Supplementary Fig. S8C–E). Flow cytometry analysis revealed that the numbers of total immune cells, neutrophils, DCs, and T cells in AD-like SSKO skin were significantly reduced by γδTCR antibody treatment (Fig. 6H, Supplementary Fig. S8F–H). These data underscore the critical role of γδT cells (presumed to be dermal γδT cells because of their elevated accumulation in SSKO skin) in orchestrating both innate and adaptive immunity downstream of epidermal/barrier dysregulation in AD-like skin.

Fig. 6
figure 6

Effects of dermal γδT blockade and IL-1 signaling inhibition on skin inflammation in HDM/SEB-treated SSKO mice. A Experimental design for γδTCR antibody (Ab) treatment. IgG was used as a control. B Representative flow cytometry plots for dermal γδT cells (1) and DETCs (2) among CD45+CD90.2+ cells. The numbers in the plots represent the relative abundance of the indicated cell populations. C Representative images of IgG- or γδTCR Ab-treated SSKO mice on day 11. D Clinical scores of IgG- or γδTCR Ab-treated SSKO mice on day 11. n = 5 mice per group. E Representative skin histology (H&E staining) on day 11. Scale bar = 100 μm. F Quantification of epidermal thickness. n = 5 mice per group. G TEWL values of IgG- or γδTCR Ab-treated SSKO mice on day 11. n = 5 mice per group. H Quantification of the number of the indicated cell types per gram of skin tissue in IgG- or γδTCR Ab-treated SSKO mice on day 11. See the legend of Fig. 5 for additional details. n = 5 mice per group. I, J RT‒qPCR results of the indicated genes in the whole skin of HDM/SEB-treated Ctrl (n = 6) and SSKO (n = 5) mice (I) or of IgG- or γδTCR Ab-treated SSKO mice (n = 5 mice per group) on day 11 (J). K RT‒qPCR results of Ovol1 and Il1a expression in epidermal cells of HDM/SEB-treated mice on day 7. n = 3 mice per group. L Experimental design for IL-1R Ab treatment (M-S). The samples were harvested on day 11 after treatment for downstream analysis. IgG was used as a control. M Flow cytometry analysis of dermal γδT cells in the back skin of IgG- or IL-1R Ab-treated SSKO mice. See the legend of Fig. 5 for additional details. n = 4 mice per group. N Representative images of IgG- or IL-1R Ab-treated SSKO mice. O Clinical scores of IgG- or IL-1R Ab-treated SSKO mice. n = 5 mice per group. P Representative skin histology (H&E staining). Scale bar = 100 μm. Q Quantification of epidermal thickness in IgG- or IL-1R Ab-treated SSKO mice. n = 4 mice per group. R TEWL values of IgG- or IL-1R Ab-treated SSKO mice. n = 5 mice per group. S RT‒qPCR results showing Il4, Il17a, and Il33 expression in whole skin. n = 5 mice per group. Data are presented as the means ± SEMs. * p < 0.05, ** p < 0.01, *** p < 0.001. p values were calculated via 2-tailed unpaired Student’s t test or the Mann‒Whitney U test

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To define the molecular consequences of γδT blockade in AD-like skin, we first comprehensively assessed cytokine/chemokine changes in HDM/SEB-treated control and SSKO mice. The expression of Il4, Il17a, Il33, Tslp and Ccl20 was significantly upregulated in SSKO skin, whereas the expression of Il13, Il23, Ccl22 and Ccl27a was either unaffected or downregulated (Fig. 6I). These data suggest that some, though not all, molecular aspects of type 2 (Il4, Il33 and Tslp) and type 3 (Il17a and Ccl20) immunity are enhanced in AD-like SSKO skin. RT‒qPCR analysis revealed significantly decreased Il4 and Il17a expression in the SSKO skin lesions following γδTCR antibody treatment (Fig. 6J), suggesting that dermal γδT cells contribute to the potentiation of type 2 (Th2) immune responses in AD-like SSKO skin.

Next, we investigated how epidermal dysregulation in SSKO mice elicits a dermal γδT response. Barrier disruption can result in elevated expression of alarmins such as IL-1α [31, 70, 71]. Indeed, we observed upregulation of both Il1a and Il1b expression in the lesional skin of SSKO mice (Fig. 6I), with a significant increase in Il1a expression specifically detected within the epidermis (Fig. 6K). To test whether these changes mediate excessive dermal γδT cell accumulation in AD-like skin, we i.p. administered an IL-1R antibody to HDM/SEB-treated SSKO and WT mice to block IL-1 signaling (Fig. 6L). Compared with the IgG control, this antibody treatment resulted in an ~2.5-fold reduction in the number of dermal γδ T cells in AD-like SSKO skin, whereas other immune cell types were not significantly affected (Fig. 6M, Supplementary Fig. S9A–E). Furthermore, AD-like skin defects in HDM/SEB-treated SSKO mice were dramatically alleviated by the anti-IL-1R antibody, resulting in improved clinical scores and reduced epidermal thickness (Fig. 6N–Q, Supplementary Fig. S9F). IL-1R antibody treatment also decreased dermal γδ T cell infiltration and epidermal hyperplasia in WT mice (Supplementary Fig. S9G–I). However, TEWL and dermal thickness were not significantly affected (Fig. 6R, Supplementary Fig. S9J, K). At the molecular level, the expression of Il4, Il17a, and Il33, but not that of Tslp, Ccl20 or Ccl27a, was dramatically lower in the skin lesions of the IL-1R antibody-treated SSKO mice than in those of their IgG-treated SSKO littermates (Fig. 6S, Supplementary Fig. S9L). Taken together, these data show that IL-1 signaling functions downstream of barrier dysregulation to promote dermal γδT accumulation and the associated AD-like pathology.

Relevance of OVOL1 and ID1 functions in human AD skin

The functional significance of Ovol1 in suppressing AD-like mouse skin inflammation prompted us to investigate whether the expression of its target genes is altered in human AD skin. Cross-analysis of our Ovol1 ChIP-seq data with published RNA-seq data from the human AD epidermis [43] led to the identification of human homologs of 125 Ovol1 target genes, which included AQP3 and ID1, whose expression was significantly increased in the AD epidermis (Fig. 7A, B, Supplementary Fig. S10A, Supplementary Table S23). Immunostaining experiments confirmed the dramatically increased/expanded expression of the AQP3 and ID1 proteins in AD epidermal keratinocytes (Fig. 7C, D). Thus, Ovol1 deficiency-induced upregulation of Aqp3 and Id1 in mouse AD-like skin is likely mirrored in human AD skin. Metascape analysis of the 125 genes revealed “pyruvate metabolic process”, “protein modification by small protein conjugation or removal”, “mitotic cell cycle”, and “transport of small molecules” as the top terms (Fig. 7E, Supplementary Table S24). Pyruvate metabolism is known to promote keratinocyte proliferation [72]. The specific upregulated genes associated with pyruvate metabolism are ENO1, SLC9A1, FOXK2, LIPA, SLC16A1, TIGAR, ATF3, PPP4R3B, PEX13, HACD1, PANK2, GLDC, NDUFAF1, LANCL2, PRPS1, LPCAT3, DTYMK, PATL1, CD44 and PFKP (Fig. 7B), some of which encode metabolic enzymes or transporters or transcription factors relevant to glycolysis [50, 73,74,75,76,77], indicating a potential role of OVOL1 in regulating cellular metabolism in AD skin.

Fig. 7
figure 7

OVOL1 target gene expression and function in human AD skin. A Venn diagram of ChIP-seq-identified Ovol1 target genes and genes upregulated in the human AD epidermis. The AD data were derived from published RNA-seq results (GSE120721). Gene numbers are indicated in the Venn diagram. B Expression of a select number of overlapping genes from A in the epidermis of normal (n = 10) and AD lesional (n = 5) skin. C Immunostaining of the AQP3 protein in healthy and AD lesional skin. n = 10 samples per group. Scale bar = 100 μm. D Immunostaining of keratin 14 and ID1 proteins in healthy and AD lesional skin. n = 10 samples per group. Scale bar = 50 μm. The dashed lines in C and D indicate the basement membrane, and DAPI was used to stain the nuclei. E Ingenuity pathway analysis of the 125 overlapping genes in A. F Experimental design for ex vivo human skin biopsy stimulation in GI. G RT‒qPCR results of the indicated genes in AGX51- or DMSO-treated human skin biopsies. n = 9 samples per group. H RT‒qPCR results of the indicated genes in M6- or PBS-treated human skin biopsies. n = 7 samples per group. I RT‒qPCR results of the indicated genes in AGX51- or DMSO-treated human skin biopsies subjected to M6 treatment. n = 7 samples per group. **p < 0.01, ***p < 0.001, ****p < 0.0001. p values were calculated via 2-tailed unpaired Student’s t test

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As proof-of-principle validation of the functionality of OVOL1 targets, we tested the effect of the ID1 inhibitor AGX51 on explant cultures derived from skin biopsies of healthy individuals (Fig. 7F). We found that AGX51 significantly increased the expression of several canonical ID1 target genes, including the cell cycle regulators CDKN1A, CDKN2A, and CDKN2B [51] (Fig. 7G). We also treated explants with a cytokine cocktail comprising IL-17A, IL-22, oncostatin M, IL-1α, and TNF-α, which are known to stimulate keratinocytes to produce various skin inflammatory cytokines and chemokines [52]. This approach, augmented with the addition of IL-4, resulting in a formulation named M6, was employed to establish an ex vivo human AD-like skin model (Fig. 7F). While M6 treatment resulted in elevated expression of CXCL1, CXCL2, CCL20, CCL22 and TSLP (Fig. 7H), the addition of AGX51 dampened this effect, as evidenced by the significantly reduced expression of the neutrophil chemoattractants CXCL1 and CXCL2 (Fig. 7I). Intriguingly, AGX51 treatment also slightly but significantly increased OVOL1 expression in M6-treated skin explants, which may reflect altered differentiation or possible feedback regulation. Taken together, our data suggest that elevated activity of an OVOL1 target, ID1, has the capacity to functionally contribute to human skin inflammation through augmenting neutrophil accumulation.

To investigate whether the AhR-OVOL1-ID1 axis is specific to AD or represents a broader mechanism in inflammatory skin diseases, we analyzed biopsy samples from patients with psoriasis. Our analysis revealed decreased expression levels of the AhR protein and OVOL1 mRNA, along with increased levels of the AQP3 and ID1 proteins, in the skin lesions of these patients (Supplementary Fig. S10B–E), mirroring findings observed in human AD skin lesions. These data suggest that dysregulation of the AhR-OVOL1-ID1 axis may be a shared feature of AD and psoriasis.

Discussion

Our study highlights the critical importance of regulating keratinocyte proliferation and differentiation for a resilient skin barrier against external stressors. Keratinocytes play a key role not only in forming a physical barrier but also in secreting signaling molecules that influence immune cell activity, contributing to inflammatory skin conditions such as AD [2, 53, 78]. We identified an OVOL1/Ovol1-directed gene expression program that operates downstream of AhR signaling in keratinocytes. This program serves to suppress proliferation, regulate metabolism, promote terminal differentiation, enhance barrier integrity, and modulate the immune response against allergens and pathogens implicated in AD (Fig. 8). These findings reveal an intricate transcriptional regulatory program that coordinates epidermal homeostasis and immune function at the skin barrier, safeguarding against AD-inducing assaults.

Fig. 8
figure 8

Working model of Ovol1 regulation of epidermal and immune homeostasis during AD-like skin inflammation. The solid lines indicate regulations for which we present evidence in this study. The dashed lines indicate regulations reported in the literature. Thin upward arrows indicate aberrant upregulation when Ovol1 is ablated. This figure was created via BioRender.com

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Our discovery of OVOL1/Ovol1 as a direct target and pivotal mediator of the barrier-protective and anti-inflammatory functions of AhR lays the groundwork for developing therapeutics targeting OVOL1-associated cellular and molecular components. Such targeted therapies hold promise for effectively preventing and treating inflammatory skin diseases such as AD and psoriasis while minimizing adverse effects associated with AhR activation in immune cells. For example, the activation of AhR in CD4+ T cells can drive differentiation toward the Th17 and Th22 subtypes [79], which may inadvertently trigger skin inflammation in patients suffering from AD or psoriasis.

Our research also highlights previously unrecognized players in skin inflammation and AD pathogenesis. Specifically, our studies in both humans and mice suggest that ID1/Id1, a direct target of OVOL1/Ovol1 transcriptional repression in keratinocytes, plays a role in promoting AD-associated epidermal hyperplasia, barrier disruption, and clinical symptoms. While the involvement of ID1 in keratinocyte proliferation is known [57], its role in skin inflammation has not been previously reported. The effects of ID1/Id1 inhibition on decreasing the expression of neutrophil chemoattractants in human skin explants and neutrophil accumulation in Ovol1-deficient AD-like mouse skin suggest that ID1/Id1 specifically functions in augmenting a neutrophilic response.

Our work suggests that dermal γδT cells are significant contributors to AD-like skin inflammation in mice. We found that IL-1 signaling plays a crucial role in amplifying the dermal γδT cell response in AD-like skin downstream of barrier dysregulation. Both functional blockade of γδT cells and inhibition of IL-1 signaling led to reduced expression of not only Il17 but also the type 2 cytokine Il4, suggesting a role for the IL-1/γδT axis in orchestrating type 2 immunity. Interestingly, γδTCR signaling is required not only for maximal neutrophil infiltration but also for DC expansion in AD-like SSKO skin. Given that DCs can recruit both type 2 (Th2) and type 3 (Th17) T cells to inflamed skin [2], γδT-facilitated DC accumulation may be a mechanism by which Th2 cells are recruited to AD-like SSKO skin. Given the low frequency of peripheral γδT cells in human skin [80], the relevance of our mouse γδT findings to human AD remains uncertain. Nonetheless, understanding how the epidermis regulates dermal γδT cells to influence type 2 and type 3 immunity sheds light on the missing links between epidermal barrier dysfunction and adaptive immune responses.

In conclusion, our study identified an AhR-Ovol1-Id1 regulatory axis in keratinocytes that governs both epidermal and immune homeostasis against AD-inducing allergens and pathogens while also implicating a similar mechanism in psoriasis. While not all molecular details of this axis are identical between mice and humans, the core regulatory mechanisms and functions appear to be conserved. These findings pave the way for future studies to delve deeper into the role of this axis in human AD and psoriasis.

Materials and methods

Cell culture and transfection

NHEKs were cultured in keratinocyte serum-free medium (Gibco, Cat# 17005042) per the manufacturer’s protocol and used within passages 3–6 for experiments. Scrambled AHR– or OVOL1-specific siRNAs (generated by Huzhou Hippo Biotechnology Co., Ltd.) were transfected into NHEKs via Lipofectamine RNAiMAX Transfection Reagent (Thermo Fisher Scientific, Cat# 13778075) according to the manufacturer’s protocol.

Mice

K14-Cre;Ovol1+/− (C57BL/6 background), Ovol1−/− (CD1 background), and Ovol1flox/flox (C57BL/6 background) mice were generated as described previously [30, 31]. Ahrflox/flox mice were generated via CRISPR/Cas9 technology, with loxP sites strategically inserted into exon 5 of the Ahr gene. The Ahrflox/flox mice were bred with K14-Cre mice to obtain mice with conditional knockout of the Ahr gene, specifically in keratinocytes. Sex- and weight-matched control and mutant littermates were used for all experiments. Both male and female 7–10-week-old mice were used. All the animal studies were approved and abided by the regulatory guidelines of the Institutional Animal Care and Use Committee of the University of California, Irvine.

AD models

For the mouse AD model, the mice were epicutaneously sensitized with HDMs and SEB as described previously [33] or treated with MC903 [46, 47].

In brief, a solution of 10 μg of HDM extract (Stallergen Greer) and 500 ng of SEB (List Biological Laboratories) in PBS was applied to a 1 cm2 gauze pad placed on the shaved skin and occluded with a Tegaderm Transparent Dressing (3 M Healthcare). Three days later, the gauze pads were replaced. Four days later, the dressings were removed, and the mice were kept without treatment for 4 days and then sacrificed for analysis. For experiments with three rounds of treatment, the mice received this “3 + 4-d” pattern of treatment twice more and were sacrificed two days after the last cycle of treatment. TEWL was measured on shaved mouse back skin via a Delfin VapoMeter (SWL4400). The TEWL values are output as g/m2h. To quantify AD-like symptoms, skin eruption, scaling, bleeding and redness were blindly scored independently by one or more investigators on a scale ranging from 0 (none) to 3 (most severe). The cumulative score served as a measure of the severity of clinical signs (score 0–12).

Two regimens were employed for the MC903-induced AD model. For Ovol1−/− mice, we topically applied 4 nmol of MC903 (Sigma, St. Louis, Missouri) or ethanol control to the mouse ears once daily for 14 consecutive days. The mice were sacrificed on day 15. For the SSKO mice, we topically applied 1.125 nmol of MC903 or ethanol to the mouse ears once daily for 5 consecutive days; the mice were then kept without treatment for 2 days, followed by topical application of 1.125 nmol of MC903 once daily for 3 more days. The mice were sacrificed on day 11. Ear thickness was measured via a caliper.

For the ex vivo human AD model, skin tissues (approximately 0.25 or 0.5 cm2) from 9 healthy individuals were obtained via excisional biopsy during plastic surgery and divided into 2 or 4 equal parts. The tissues were cultured in DMEM (Gibco, Cat# 11965092) containing 10% FBS and treated with AGX51 (100 μM) or DMSO for 18 hours, followed by treatment with M6 cytokine cocktail or PBS for another 6 hours. The M6 cocktail contains IL-4 (10 ng/ml, Peprotech, Cat# 200–04), IL-17A (10 ng/ml, Peprotech, Cat# 200–17), IL-22 (10 ng/ml, Peprotech, Cat# 200–22), oncostatin M (10 ng/ml, Peprotech, Cat# 300–10), IL-1α (10 ng/ml, Peprotech, Cat# 200–01 A), and TNF-α (10 ng/ml, Peprotech, Cat# 300–01 A). After M6 treatment, the skin tissues were collected and stored in liquid nitrogen until further analysis.

In vivo FICZ, antibody, and AGX51 treatment

For FICZ experiments, the mice were i.p. injected with 100 μg/kg FICZ (MedChemExpress, Cat# HY-12451) or DMSO in 100 μl of corn oil once daily from day 0 to day 10. For γδTCR blockade, the mice were i.p. injected with 500 μg γδTCR antibody (BioLegend, Cat# 107517, Clone UC7-13D5) or IgG (BioLegend, Cat# 400959, Clone HTK888) on day 0, followed by 200 μg at days 3, 7 and 10 of HDM/SEB treatment. For IL-1R blocking, the mice were i.p. injected with 200 μg of an anti-IL-1R antibody (BioXcell, Cat# BE0256; Clone JAMA-147) or IgG (BioXcell, Cat# BE0091) at days -1, 0, 3, 7 and 10 of HDM/SEB treatment. For the AGX51 experiments, the mice were i.p. injected with 1 mg of AGX51 (MedChemExpress, Cat# HY- 129241) or DMSO in 100 μl of corn oil once daily from day 0 to day 10.

Histology, indirect immunofluorescence, and RNAScope

Sections from paraformaldehyde-fixed, paraffin-embedded back skin were stained with hematoxylin and eosin (H&E) as previously described [30]. Epidermal and dermal thickness was measured via ImageJ. For indirect immunofluorescence of keratin 14, filaggrin, Ki67 and Ly6G, mouse back skin tissues were freshly frozen in optimum cutting temperature (OCT) compound (Tissue-Tek) and stained with the appropriate antibodies as described previously [30]. The primary antibodies used were as follows: keratin 14 and filaggrin (rabbit or chicken, gifts from Julie Segre, National Institutes of Health, Bethesda), Ki67 (rabbit, Cell Signaling Technology, Cat# 9129, Clone D3B5), and Ly6G (rat, eBioscience, Cat# 16-9668-82, Clone 1A8). For indirect immunofluorescence of Aqp3, Id1, CD3, and GATA3, sections from paraformaldehyde-fixed, paraffin-embedded back skin were stained as previously described [81] with the appropriate antibodies. Antigen retrieval was performed by incubating slides in 0.01 M citrate buffer (pH 6.0) in a microwave at full power for 3–5 min. For immunostaining of AhR, sections from paraformaldehyde-fixed, paraffin-embedded back skin were stained via a three-color fluorescence kit (Recordbio Biological Technology, Cat# RC0086-23RM) based on the tyramide signal amplification technology according to the manufacturer’s instructions. Antigen retrieval was performed by incubating slides in 1 mM EDTA Antigen Retrieval Solution (pH 9.0) in a microwave at full power for 3–5 min. The primary antibodies used were as follows: Aqp3 (rabbit, Abcam, Cat# ab125219), Id1 (mouse, Santa Cruz Biotechnology, Cat# sc-133104, Clone B-8), CD3 (rabbit, Abcam, Cat# ab16669, Clone SP7), GATA3 (gift from J. Segre, National Institutes of Health, Bethesda) and AhR (rabbit, Proteintech, Cat# 28727-1-AP). RNAScope was performed as described previously [82] via a Krt14 probe (ACD, Cat# 422521-C3).

Patient sample analysis

Skin samples were obtained from 10 AD patients, 5 psoriasis patients and 10 healthy individuals by excisional biopsy. Sample acquisition, including skin biopsy, was approved by the Ethics Committee of Shanghai Tenth People’s Hospital and performed in accordance with the Declaration of Helsinki principles. Informed consent was obtained for all procedures.

Paraffin blocks of skin samples were used to obtain 4-μm sections, which were used for immunofluorescence and fluorescence in situ hybridization as previously described [65]. The antibodies used for immunofluorescence were anti-AhR (rabbit, Proteintech, Cat# 28727-1-AP), anti-cytokeratin 10 (rabbit, Servicebio, Cat# GB112105-100), anti-cytokeratin 14 (rabbit, Abcam, Cat# ab119695), anti-ID1 (mouse, Santa Cruz, Cat# sc-133104), and anti-aqp3 (rabbit, Servicebio, Cat# GB11395-100) antibodies. The immunostaining of AhR, AQP3, or costaining of keratin 14 and ID1 was performed via a three-color fluorescence kit (Recordbio Biological Technology, Cat# RC0086-23RM) based on tyramide signal amplification technology according to the manufacturer’s instructions. For maximum detection of OVOL1 RNA, a 1:1:1:1 mixture of four different probes (Table S25) was used.

Single-cell suspension and flow cytometry

A single-cell suspension of skin was prepared as described previously [30]. For cell surface staining, the cells were incubated with TruStain FcX™ Antibody (BioLegend, Cat# 101319) to block Fc receptors for 10 min at room temperature and incubated with antibodies for 30 min at 4 °C. For intracellular staining, the cells were incubated with a Zombie NIR™ Fixable Viability Kit (BioLegend, Cat# 423105) for 30 min at 4 °C before cell surface staining. After cell surface staining, the cells were fixed with IC fixation buffer (eBioscience, Cat# 00–8222–49) for 30 min at 4 °C and then stained with antibodies in permeabilization buffer (eBioscience, Cat# 00–8333–56) for 30 min at 4 °C. The surface-stained cells were incubated with SYTOX™ Blue Dead Cell Stain (Invitrogen, Cat# S34857) for 5 min before analysis. The cells were analyzed via a BD FACSAria Fusion Sorter. The data were analyzed via FlowJo v10.7.2.

ChIP analysis

Mouse primary keratinocytes were treated with CaCl2 (1.8 mM) for 24 hours and then crosslinked in 1% formaldehyde. NHEKs were treated with FICZ (100 nM) for 3 h and then crosslinked in 1% formaldehyde. The ChIP assay was performed using an anti-OVOL1 antibody (rabbit, GeneTex, Cat# GTX55272), an anti-AhR antibody (rabbit, Cell Signaling Technology, Cat# 83200S), and a SimpleChIP® Enzymatic Chromatin IP Kit (agarose beads) (Cell Signaling Technology, Cat# 9002) according to the manufacturer’s instructions. The DNA was then purified, and RT‒qPCR was performed. Information on the gene-specific primers used is provided in Supplementary Table S25.

Ovol1 ChIP-seq data were analyzed as described previously [32]. Peaks were called with MACS2 broad peak calling [66]. Motifs were analyzed via HOMER v4.11 [83]. Public ChIP-seq BIGWIG data were downloaded from GEO datasets and visualized via IGV_2.10.2. The ChIP-seq data used were as follows: GSE86900 (Mouse H3K4me1, H3K4me3 and H3K27ac), GSE72455 (Mouse AhR), GSM733674 (NHEK H3K27ac), GSM733698 (NHEK H3K4me1), GSM733720 (NHEK H3K4me3) and GSM733740 (NHEK Input).

Intracellular H2O2 measurement

The intracellular level of H2O2 was measured as described previously [54]. In brief, epidermal cells from mouse back skin were incubated with H2DCFDA (Invitrogen, Cat# D399) at a concentration of 10 μM at 37 °C for 30 min. The cells were then analyzed via a BD FACSAria Fusion Sorter, and the data were analyzed via FlowJo v10.7.2.

Measurement of the serum levels of Cxcl2 and G-CSF

Custom Plex Assays (Eve Technologies) were used to detect the serum levels of Cxcl2 and G-CSF in MC903-treated mice according to the manufacturer’s instructions.

Statistical analysis

Two-tailed unpaired Student’s t test was used to compare two groups if the data were normally distributed. The Mann‒Whitney U test was used to compare two groups if the data were not normally distributed. Two-way analysis of variance (ANOVA) was used to compare multiple groups. All analyses except single-cell RNA-seq data were performed via Prism 6 (GraphPad). p values of single-cell RNA-seq data were calculated via a t test followed by Benjamini‒Hochberg correction.

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Significant advancements have been made in understanding the cellular and molecular mechanisms of type 2 immunity in allergic diseases such as asthma, allergic rhinitis, chronic rhinosinusitis, eosinophilic esophagitis (EoE), food and drug allergies, and atopic dermatitis (AD). Type 2 immunity has evolved to protect against parasitic diseases and toxins, plays a role in the expulsion of parasites and larvae from inner tissues to the lumen and outside the body, maintains microbe-rich skin and mucosal epithelial barriers and counterbalances the type 1 immune response and its destructive effects. During the development of a type 2 immune response, an innate immune response initiates starting from epithelial cells and innate lymphoid cells (ILCs), including dendritic cells and macrophages, and translates to adaptive T and B-cell immunity, particularly IgE antibody production. Eosinophils, mast cells and basophils have effects on effector functions. Cytokines from ILC2s and CD4+ helper type 2 (Th2) cells, CD8 + T cells, and NK-T cells, along with myeloid cells, including IL-4, IL-5, IL-9, and IL-13, initiate and sustain allergic inflammation via T cell cells, eosinophils, and ILC2s; promote IgE class switching; and open the epithelial barrier. Epithelial cell activation, alarmin release and barrier dysfunction are key in the development of not only allergic diseases but also many other systemic diseases. Recent biologics targeting the pathways and effector functions of IL4/IL13, IL-5, and IgE have shown promising results for almost all ages, although some patients with severe allergic diseases do not respond to these therapies, highlighting the unmet need for a more detailed and personalized approach.

Iron homeostasis and ferroptosis in muscle diseases and disorders: mechanisms and therapeutic prospects

The muscular system plays a critical role in the human body by governing skeletal movement, cardiovascular function, and the activities of digestive organs. Additionally, muscle tissues serve an endocrine function by secreting myogenic cytokines, thereby regulating metabolism throughout the entire body. Maintaining muscle function requires iron homeostasis. Recent studies suggest that disruptions in iron metabolism and ferroptosis, a form of iron-dependent cell death, are essential contributors to the progression of a wide range of muscle diseases and disorders, including sarcopenia, cardiomyopathy, and amyotrophic lateral sclerosis. Thus, a comprehensive overview of the mechanisms regulating iron metabolism and ferroptosis in these conditions is crucial for identifying potential therapeutic targets and developing new strategies for disease treatment and/or prevention. This review aims to summarize recent advances in understanding the molecular mechanisms underlying ferroptosis in the context of muscle injury, as well as associated muscle diseases and disorders. Moreover, we discuss potential targets within the ferroptosis pathway and possible strategies for managing muscle disorders. Finally, we shed new light on current limitations and future prospects for therapeutic interventions targeting ferroptosis.

STAT6 mutations compensate for CREBBP mutations and hyperactivate IL4/STAT6/RRAGD/mTOR signaling in follicular lymphoma

Activating mutations in STAT6 are common in Follicular Lymphoma (FL) and transformed FL and various other B cell lymphomas. Here, we report RNA-seq based gene expression data on normal human lymph node derived B lymphocytes (NBC; N = 6), and primary human FL WT (N = 11) or mutant (N = 4) for STAT6 before and after ex vivo stimulation with IL4. We found that STAT6 mutants result in broad based augmentation of IL4-induced gene expression. Unexpectedly, in FL with WT STAT6 we measured reduced baseline and IL4-induced gene expression levels when compared with NBC lymphocytes or FL with STAT6 mutations. We tracked the attenuated IL4/JAK/STAT6 response to co-existing CREBBP mutations and experimentally verified that intact CREBBP is required for the induction of many IL4-induced genes. One of the IL4-induced genes here identified is RRAGD, a small G-protein involved in lysosomal mTOR activation. We show that IL4 treatment induced RRAGD expression, that RRAGD is required for mTOR activation in lymphoma cells and that IL4-enhanced BCR signaling induced mTOR activation. The IL4 and BCR-induced mTOR activation was reduced by CREBBP mutants and augmented by mutant STAT6, establishing a link between STAT6 mutations and mTOR regulated pro-growth pathways in lymphoma.

Targeting of TAMs: can we be more clever than cancer cells?

With increasing incidence and geography, cancer is one of the leading causes of death, reduced quality of life and disability worldwide. Principal progress in the development of new anticancer therapies, in improving the efficiency of immunotherapeutic tools, and in the personification of conventional therapies needs to consider cancer-specific and patient-specific programming of innate immunity. Intratumoral TAMs and their precursors, resident macrophages and monocytes, are principal regulators of tumor progression and therapy resistance. Our review summarizes the accumulated evidence for the subpopulations of TAMs and their increasing number of biomarkers, indicating their predictive value for the clinical parameters of carcinogenesis and therapy resistance, with a focus on solid cancers of non-infectious etiology. We present the state-of-the-art knowledge about the tumor-supporting functions of TAMs at all stages of tumor progression and highlight biomarkers, recently identified by single-cell and spatial analytical methods, that discriminate between tumor-promoting and tumor-inhibiting TAMs, where both subtypes express a combination of prototype M1 and M2 genes. Our review focuses on novel mechanisms involved in the crosstalk among epigenetic, signaling, transcriptional and metabolic pathways in TAMs. Particular attention has been given to the recently identified link between cancer cell metabolism and the epigenetic programming of TAMs by histone lactylation, which can be responsible for the unlimited protumoral programming of TAMs. Finally, we explain how TAMs interfere with currently used anticancer therapeutics and summarize the most advanced data from clinical trials, which we divide into four categories: inhibition of TAM survival and differentiation, inhibition of monocyte/TAM recruitment into tumors, functional reprogramming of TAMs, and genetic enhancement of macrophages.

Integrated proteogenomic characterization of ampullary adenocarcinoma

Ampullary adenocarcinoma (AMPAC) is a rare and heterogeneous malignancy. Here we performed a comprehensive proteogenomic analysis of 198 samples from Chinese AMPAC patients and duodenum patients. Genomic data illustrate that 4q loss causes fatty acid accumulation and cell proliferation. Proteomic analysis has revealed three distinct clusters (C-FAM, C-AD, C-CC), among which the most aggressive cluster, C-AD, is associated with the poorest prognosis and is characterized by focal adhesion. Immune clustering identifies three immune clusters and reveals that immune cluster M1 (macrophage infiltration cluster) and M3 (DC cell infiltration cluster), which exhibit a higher immune score compared to cluster M2 (CD4+ T-cell infiltration cluster), are associated with a poor prognosis due to the potential secretion of IL-6 by tumor cells and its consequential influence. This study provides a comprehensive proteogenomic analysis for seeking for better understanding and potential treatment of AMPAC.

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