Faculty Bibliography

Background/Purpose: The skin is recognized as a window into the immunopathogenic mechanisms driving the vast phenotypic spectrum of psoriatic disease.
Method(s): To better decipher the cellular landscape of both healthy and psoriatic skin, we employed spatial transcriptomics (ST), a ground-breaking technology that precisely maps gene expression from histologically-intact tissue sections (Fig. 1A).
Result(s): Findings gleaned from computationally integrating our 23 matched lesional and non-lesional psoriatic and 7 healthy control samples with publicly-available single-cell ribonucleic acid (RNA) sequencing datasets established the ability of ST to recapitulate the tissue architecture of both healthy and inflamed skin (Fig. 1B) and highlighted topographic shifts in the immune cell milieu, from a predominantly perifollicular distribution in steady-state skin to the papillary and upper reticular dermis in psoriatic lesional skin. We also incidentally discovered that ST's ability to ascertain gene expression patterns from intact tissue rendered it particularly conducive to studying the transcriptome of lipid-laden cells such as dermal adipose tissue and sebaceous glands (Fig. 1C), whose expression profiles are typically lost in the process of tissue handling and dissociation for bulk and single-cell RNA seq. Unbiased clustering of pooled healthy and psoriatic samples identified two epidermal clusters and one dermal cluster that were differentially expanded in psoriatic lesional skin (p values <=0.05) (Fig. 1D); pathway analysis of these clusters revealed enrichment of known psoriatic inflammatory pathways (Fig. 1E). Unsupervised classification of skin-limited psoriasis and psoriatic arthritis samples revealed stratification by cutaneous disease severity or Psoriasis Area and Severity Index (PASI) score and not by presence or absence of concomitant systemic/synovial disease (Fig. 1F). Remarkably, this PASI-dependent segregation was also evident in distal, non-lesional samples and was driven by the dermal macrophage and fibroblast cluster and the lymphatic endothelium (Fig. 2A). Inquiry into the mechanistic drivers of this observed stratification yielded enrichment of pathways associated with key T cell and innate immune cell activation, B cells, and metabolic dysfunction (Fig. 2B). Finally, tissue scale computational cartography of gene expression revealed differences in regional enrichment of specific cell types across phenotypic groups, most notably upward extension of fibroblasts to the upper dermis in both lesional and non-lesional samples from mild psoriasis and restriction to the lower dermis in the moderate-to-severe psoriasis samples (Fig. 2C), suggesting that disease severity stratification may be driven by emergent cellular ecosystems in the upper dermis. Fig. 1. (A) Schematic of spatial transcriptomics study workflow. Four mm skin punch biopsies were obtained from healthy volunteers (n=3) and lesional and non-lesional skin from patients with psoriatic disease (n=11). Ten micron-thick sections were then placed on capture areas on the ST microarray slide, each containing molecularly barcoded, spatially encoded spots with a diameter of 50 microns and a center-to-center distance of 100 microns. (B) Side-by-side comparison of a hematoxylin-eosin (H&E) stained section of representative healthy, lesional, and non-lesional skin samples and the corresponding ST plots showed concordance of unbiased gene expression-based clustering with histologic tissue architecture. (C) Pathway analysis of the adipose cluster in healthy skin (cluster 2) confirmed upregulation of lipid-associated processes. Inset: Spots corresponding to the adipose cluster highlighted in yellow. (D) Wilcoxon rank sum test (results displayed as box plots) yielded statistically significant expansion of three clusters in lesional skin compared to both non-lesional and healthy skin-inflamed suprabasal epidermis (cluster 4), epidermis 2 (cluster 7), and inflamed dermis (cluster 10). HC=healthy control, L=lesional psoriatic skin, NL=non-lesional psoriatic skin. (E) Pathways enriched in clusters 4, 7, and 10. (F) Principal component analysis (PCA) plots demonstrating segregation of samples by severity of cutaneous disease in both lesional and non-lesional samples along the first principal component (right) that was not seen in the samples categorized according to presence or absence of arthritis (left). PsA=psoriatic arthritis, PsO=skin-limited psoriasis. Fig. 2. (A) PCA of lesional and non-lesional samples colored by disease severity in spatial clusters 1 (left) and 12 (right) revealed more discrete clustering. (B) Pathways significantly enriched in clusters 1 (left) and 12 (right) showed enrichment of pathways associated with key T cell and innate immune cell activation, B cells, and metabolic dysfunction (highlighted in red). (C) SpaceFold one dimension projection of cell distribution from an independently-generated single-cell RNA seq data set on aggregated ST lesional and non-lesional samples from mild (PASI-low) and moderate-severe (PASI-high) samples. Y-axis represents tissue position, starting with the lower dermis marked as position 0 to suprabasal epidermis marked as position 1. Dashed line represents epidermal-dermal junction, discerned by cell types in the basal epidermal layer (melanocytes and Langerhans cells). Fibroblast signatures (red arrows) were largely relegated to the lower dermis in the PASI-high group, but extended to the upper dermis in the PASI-low group. This striking difference in fibroblast localization was also noted in non-lesional PASI-high vs. PASI-low groups. In addition to fibroblasts, lymphatic, endothelial, myeloid, and T cells signatures (black arrows) were also observed in the upper dermis of lesional PASI-low samples, but were much lower in the dermis of PASI-low non-lesional and all samples in the PASI-high group. Interfollicular epidermis (IFE), hair follicle and infundibulum (HF/IFN), n= number of individual biopsies.
Conclusion(s): Thus, we have been able to successfully leverage ST integrated with independently-generated single-cell RNA seq data to spatially define the emergent cellular ecosystems of healthy and matched psoriatic lesional and non-lesional skin and in so doing, demonstrated the value of ST in unearthing the genetic groundwork at both the site of inflammation and in distal, clinically-uninvolved skin

Mammalian cells autonomously activate hypoxia-inducible transcription factors (HIFs) to ensure survival in low-oxygen environments. We report here that injury-induced hypoxia is insufficient to trigger HIF1α in damaged epithelium. Instead, multimodal single-cell and spatial transcriptomics analyses and functional studies reveal that retinoic acid-related orphan receptor γt⁺ (RORγt⁺) γδ T cell-derived interleukin-17A (IL-17A) is necessary and sufficient to activate HIF1α. Protein kinase B (AKT) and extracellular signal-regulated kinase 1/2 (ERK1/2) signaling proximal of IL-17 receptor C (IL-17RC) activates mammalian target of rapamycin (mTOR) and consequently HIF1α. The IL-17A-HIF1α axis drives glycolysis in wound front epithelia. Epithelial-specific loss of IL-17RC, HIF1α, or blockade of glycolysis derails repair. Our findings underscore the coupling of inflammatory, metabolic, and migratory programs to expedite epithelial healing and illuminate the immune cell-derived inputs in cellular adaptation to hypoxic stress during repair.

OBJECTIVE:Previous studies suggest a link between high serum type I interferon (IFN) and lupus nephritis (LN). We determined whether serum IFN activity is associated with subtypes of LN and studied renal tissues and cells to understand the impact of IFN in LN. METHODS:). Podocyte cell line gene expression was measured by real-time PCR. RESULTS:expression was not closely co-localized with pDCs. IFN directly activated podocyte cell lines to induce chemokines and proapoptotic molecules. CONCLUSION/CONCLUSIONS:Systemic high IFN is involved in the pathogenesis of severe LN. We do not find co-localization of pDCs with IFN signature in renal tissue, and instead observe the greatest intensity of IFN signature in glomerular areas, which could suggest a blood source of IFN.

Biopsies of inflammatory tissue contain a complex network of interacting cells, orchestrating the immune or autoimmune response. While standard histological examination can identify relationships, it is clear that a great amount of data on each slide is not quantitated or categorized in standard microscopic examinations. To deal with the huge amount of data present in biopsy tissue in an unbiased and comprehensive way, we have developed a deep learning algorithm to identify immune cells in biopsies of inflammatory lesions. We focused on T follicular helper (Tfh) cell subsets and B cells in dermatomyositis biopsy images. We achieved strong performance on detection and classification of cells, including the rare Tfh cell subsets present in the tissue. This algorithm could be used to perform distance mapping between cell types in tissue, and could be easily adapted to other disease states.

Unlike other checkpoint inhibitors, our targeted immunotherapeutic localizes to any solid tumor and simultaneouslyshields an agent of immuno suppression while presenting a signal for immunostimulation. Phosphatidylserine (PS)exposure on the extracellular surface of living tumor cells and their vasculatures provides one avenue by which thetumor microenvironment promotes immunosuppression. Extracellular surface PS is inherent to a tumor and itsvasculature, even for inoperable tumors, and its expression cannot be mutated nor affected by acquired drugresistance. Annexin A5 (AnxA5) is a direct, high-affinity PS-binding protein that localizes to cells with PS exposed onthe outer plasma membrane. In our studies, we conjugated a proprietary modified AnxA5, lacking cellularinternalization, to TNFalpha (AnxA5 -TNFalpha) to convert the immunosuppresive environs of a murine 4T1 triplenegative breast cancer (TNBC) into an immunostimulated one. This strategy localized the immune response to the tumor and minimized side effects, as evidenced by a lack of toxicity for up to 7 days in non-tumor bearing Balb/cfemale mice given up to 1 mg/kg. Proper assembly and functionality of AnxA5 -TNFalpha was verified simultaneouslyby ellipsometry, an optical technique similar to plasmon resonance. Fully assembled constructs were tested forbinding to PS coated slides. The degree of light polarization is proportional to the amount of PS bound by the AnxA5complex. Samples could be further incubated with TNF receptors to verify TNFalpha activity. Based on dose escalationstudies in 4T1 tumor-bearing mice where the TNBC tumors were grown in the mammary fat pads, optimal dosages were determined for AnxA5 -TNFalpha (18 mug) and AnxA5 alone as a control (180 mug). These doses were furthertested in a 4T1 growth inhibition study. Tumor size was tracked by caliper in two groups of mice (n=5/group)receiving drug treatment on days 12, 14 and 16 and a repeated measures ANOVA was conducted onmeasurements taken before, during and post-treatment. While median tumor size did not differ between control and drug treatment groups during the pre-treatment interval (p=0.84), there was a significant difference post-treatment(p<0.001) with mice receiving AnxA5 -TNFalpha having much smaller TNBC tumors. Tumors from the study were embedded in paraffin, sectioned (5 mum) and the overall immune cell content determined by H&E staining. Once it was evident there was a greater quantity of immune cells in AnxA5 -TNFalpha treated tumors vs. controls, sections were stained with validated antibodies to identify and count the immunoactivated T-cells, NK-cells and macrophages. There was a 3X greater mean percentage of CD8 and CD4 T-cells in mice receiving drug vs. control(p=0.03) along with 2.5X and 5X increases in NK-cells and M1 immunoactive macrophages, respectively.
Conclusion(s): Our AnxA5 -TNFalpha inhibits the PS inhibitor while simultaneously activating TNF activators!

SHP2 inhibitors (SHP2i) alone and in various combinations are being tested in multiple tumors with over-activation of the RAS/ERK pathway. SHP2 plays critical roles in normal cell signaling; hence, SHP2is could influence the tumor microenvironment. We found that SHP2i treatment depleted alveolar and M2-like macrophages, induced tumor-intrinsic CCL5/CXCL10 secretion and promoted B and T lymphocyte infiltration in Kras- and Egfr-mutant non-small cell lung cancer (NSCLC). However, treatment also increased intratumor gMDSCs via tumor-intrinsic, NF-kB-dependent production of CXCR2 ligands. Other RAS/ERK pathway inhibitors also induced CXCR2 ligands and gMDSC influx in mice, and CXCR2 ligands were induced in tumors from patients on KRASG12C-inhibitor trials. Combined SHP2(SHP099)/CXCR1/2(SX682) inhibition depleted a specific cluster of S100a8/9high gMDSCs, generated Klrg1+ CD8+ effector T cells with a strong cytotoxic phenotype but expressing the checkpoint receptor NKG2A, and enhanced survival in Kras- and Egfr-mutant models. Our results argue for testing RAS/ERK pathway/CXCR1/2/NKG2A inhibitor combinations in NSCLC patients.

Young age is a risk factor for respiratory and gastrointestinal infections. Here, we compared infant and adult mice to identify age-dependent mechanisms that drive susceptibility to mucosal infections during early life. Transcriptional profiling of the upper respiratory tract (URT) epithelium revealed significant dampening of early life innate mucosal defenses. Epithelial-mediated production of the most abundant antimicrobial molecules, lysozyme, and lactoferrin, and the polymeric immunoglobulin receptor (pIgR), responsible for IgA transcytosis, was expressed in an age-dependent manner. This was attributed to delayed functional development of serous cells. Absence of epithelial-derived lysozyme and the pIgR was also observed in the small intestine during early life. Infection of infant mice with lysozyme-susceptible strains of Streptococcus pneumoniae or Staphylococcus aureus in the URT or gastrointestinal tract, respectively, demonstrated an age-dependent regulation of lysozyme enzymatic activity. Lysozyme derived from maternal milk partially compensated for the reduction in URT lysozyme activity of infant mice. Similar to our observations in mice, expression of lysozyme and the pIgR in nasopharyngeal samples collected from healthy human infants during the first year of life followed an age-dependent regulation. Thus, a global pattern of reduced antimicrobial and IgA-mediated defenses may contribute to increased susceptibility of young children to mucosal infections.

Rationale Cross-sectional human data suggest that enrichment of oral anaerobic bacteria in the lung is associated with increased Th17 inflammatory phenotype. In this study we evaluated the microbial and host immune response dynamics after aspiration with a oral commensals using a preclinical mouse model. Methods Aspiration with a mixture of human oral commensals (MOC; Prevotella melaninogenica, Veillonella parvula, and Streptococcus mitis) was modeled in mice followed by variable time of sacrifice. Genetic background of mice included WT, MyD88 knock out and STAT3C. Measurements 16S rRNA gene sequencing characterized changes in microbiota. Flow cytometry, cytokine measurement via Luminex and RNA host transcriptome sequencing was used to characterize host immune phenotype. Main Results While MOC aspiration correlated with lower airway dysbiosis that resolved within five days, it induced an extended inflammatory response associated with IL17-producing T-cells lasting at least 14 days. MyD88 expression was required for the IL-17 response to MOC aspiration, but not for T-cell activation or IFN-γ expression. MOC aspiration prior to a respiratory challenge with S. pneumoniae led to a decreased in host's susceptibility to this pathogen. Conclusions Thus, in otherwise healthy mice, a single aspiration event with oral commensals are rapidly cleared from the lower airways, but induce a prolonged Th17 response that secondarily decreased susceptibility to respiratory pathogens. Translationally, these data implicate an immuno-protective role of episodic microaspiration of oral microbes in the regulation of the lung immune phenotype and mitigation of host susceptibility to infection with lower airway pathogens.

Rationale:Malignant pleural mesothelioma(MPM) has a poor prognosis with median survival of 12-24 months. We are not aware of prior studies examining the immune microenvironment in tumor draining lymph nodes (TDLN) in MPM. Our aim is to compare the tumor microenvironment(TME) and the microenvironment of TDLN. We hypothesize that the TME will display an immunosuppressive phenotype reflected in the TDLN.
Method(s):We performed digital spatial profiling(DSP) using the GeoMx (NanoString) platform on stored primary tumor and nodal biopsy specimens from 3 patients from our tumor bank. Samples from both primary tumor and lymph nodes were sectioned and labeled with pancytokeratin (CK). Tissue was then classified as "tumor" or "nontumor" using semi-automated segmentation based on pan-Cytokeratin (panK) labeling. The slides were then labeled with antibodies to 58 selected markers, with each unique antibody attached to a respective oligonucleotide. The tissue was exposed to UV light separately for tumor and non-tumor regions, cleaving the oligonucleotides from the attached antibodies. The oligonucleotides from the separate tumor and non-tumor regions were quantified using nCounter (NanoString).
Result(s):The non-neoplastic regions of the primary tumor contained higher expression of proteins associated with inflammatory cells including helper T-cells, cytotoxic T-cells, B-cells, macrophages, neutrophils, natural killer cells(Table 1). Furthermore, there was greater expression of immune checkpoint proteins, PD-L1 and CTLA-4, and CD163 and CD14, proteins associated with immunosuppressive macrophages, in the non-neoplastic region compared to the neoplastic region of the tumoe(Table 1). TDLNs contained similar levels of expression of lymphocyte markers, including those delineating cytotoxic T-cells and helper T-cells, as the primary tumor(Table 1). Despite this, TME expressed higher levels of T-cell exhaustion and immunsupression markers (FOXP3, LAG3, PD-1, CTLA-4) than TDLN(Table 1).
Conclusion(s):DSP is feasible in Formalin-fixed paraffin embedded (FFPE) mesothelioma specimens, providing a method for using quantitative immunopathology to study corresponding immune microenvironments. In our study, the non-tumor region of the primary tumor contained macrophages, lymphocytes, natural killer cells, and cancer-associated fibroblasts consistent with prior descriptions of the mesothelioma TME. Increased expression of immune checkpoint molecules in the non-tumor region suggests an immunosuppressive TME. TDLNs demonstrated similar lymphocyte markers, but without corresponding immune checkpoint expression of t suggesting the immunosuppressive phenotype of the TME may not be reflected in TDLNs. This pilot study is the first to use DSP to preliminarily characterize TDLNs in mesothelioma. We plan to apply this approach to stored additional MPM and NSCLC specimens to gain an in-depth understanding of the relationship between TME and TDLN