ILT2 and ILT4 Drive Myeloid Suppression via Both Overlapping and Distinct Mechanisms.

Solid tumors are dense three-dimensional (3D) multicellular structures that enable efficient receptor-ligand trans interactions via close cell-cell contact. Immunoglobulin-like transcript (ILT)2 and ILT4 are related immune-suppressive receptors that play a role in the inhibition of myeloid cells within the tumor microenvironment. The relative contribution of ILT2 and ILT4 to immune inhibition in the context of solid tumor tissue has not been fully explored. We present evidence that both ILT2 and ILT4 contribute to myeloid inhibition. We found that although ILT2 inhibits myeloid cell activation in the context of trans-engagement by MHC-I, ILT4 efficiently inhibits myeloid cells in the presence of either cis- or trans-engagement. In a 3D spheroid tumor model, dual ILT2/ILT4 blockade was required for the optimal activation of myeloid cells, including the secretion of CXCL9 and CCL5, upregulation of CD86 on dendritic cells, and downregulation of CD163 on macrophages. Humanized mouse tumor models showed increased immune activation and cytolytic T-cell activity with combined ILT2 and ILT4 blockade, including evidence of the generation of immune niches, which have been shown to correlate with clinical response to immune-checkpoint blockade. In a human tumor explant histoculture system, dual ILT2/ILT4 blockade increased CXCL9 secretion, downregulated CD163 expression, and increased the expression of M1 macrophage, IFNγ, and cytolytic T-cell gene signatures. Thus, we have revealed distinct contributions of ILT2 and ILT4 to myeloid cell biology and provide proof-of-concept data supporting the combined blockade of ILT2 and ILT4 to therapeutically induce optimal myeloid cell reprogramming in the tumor microenvironment.

A target discovery pipeline identified ILT3 as a target for immunotherapy of multiple myeloma.

Multiple myeloma (MM) is an incurable malignancy of plasma cells. To identify targets for MM immunotherapy, we develop an integrated pipeline based on mass spectrometry analysis of seven MM cell lines and RNA sequencing (RNA-seq) from 900+ patients. Starting from 4,000+ candidates, we identify the most highly expressed cell surface proteins. We annotate candidate protein expression in many healthy tissues and validate the expression of promising targets in 30+ patient samples with relapsed/refractory MM, as well as in primary healthy hematopoietic stem cells and T cells by flow cytometry. Six candidates (ILT3, SEMA4A, CCR1, LRRC8D, FCRL3, IL12RB1) and B cell maturation antigen (BCMA) present the most favorable profile in malignant and healthy cells. We develop a bispecific T cell engager targeting ILT3 that shows potent killing effects in vitro and decreased tumor burden and prolonged mice survival in vivo, suggesting therapeutic relevance. Our study uncovers MM-associated antigens that hold great promise for immune-based therapies of MM.

Reduced Wheel Running via a High-Fat Diet Is Reversed by a Chow Diet with No Added Benefit from Fecal Microbial Transplants.

PURPOSE: Chronic overfeeding via a high-fat/high-sugar (HFHS) diet decreases wheel running and substantially alters the gut metabolome of C57BL/6J mice. In this study, we tested the hypothesis that fecal microbial transplants can modulate the effect of diet on wheel running. METHODS: Singly housed, 6-wk-old male C57BL/6J mice were fed either a grain-based diet (CHOW) or HFHS diet and provided a running wheel for 13 wk. Low-active, HFHS-exposed mice were then either switched to a CHOW diet and given an oral fecal microbial transplant from mice fed the CHOW diet, switched to a CHOW diet and given a sham transplant, or remained on the HFHS diet and given a fecal microbial transplant from mice fed the CHOW diet. Total wheel running, nutrient intake, body composition, fecal microbial composition, fecal metabolite composition, and liver steatosis were measured at various times throughout the study. RESULTS: We found that an HFHS diet decreases wheel running activity, increases body fat, and decreases microbial alpha diversity compared with a CHOW diet. Improvements in wheel running, body composition, and microbial alpha diversity were accomplished within 2 wk for mice switched from an HFHS diet to a CHOW diet with no clear evidence of an added benefit from fecal transplants. A fecal transplant from mice fed a CHOW diet without altering diet did not improve wheel running or body composition. Wheel running, body composition, fecal microbial composition, fecal metabolite composition, and liver steatosis percentage were primarily determined by diet. CONCLUSIONS: Our results suggest that diet is a primary mediator of wheel running with no clear effect from fecal microbial transplants.

A High Fat/High Sugar Diet Alters the Gastrointestinal Metabolome in a Sex Dependent Manner.

The gut metabolome offers insight for identifying the source of diet related pathology. As such, the purpose of this study was to characterize alterations of the gut metabolome in female and male C57BL/6J mice randomly assigned to a standard "chow" diet (CHOW) or a high fat/high sugar diet (HFHS; 45% fat and 20% fructose drinking solution) for nine weeks. Cecal metabolites were extracted and an untargeted analysis via LC-MS/MS was performed. Partial Least Sums Discriminate Analysis (PLS-DA) presented significant differences between the two diet groups in a sex-dependent manner. Mann-Whitney U-tests revealed 2443 and 1669 features to be significantly different between diet groups in the females and males, respectively. The majority of altered metabolites were depleted within the cecum of the HFHS fed mice. Metabolic pathways associated with galactose metabolism, leukotriene metabolism, and androgen and estrogen biosynthesis and metabolism were differentially altered with an HFHS diet between sexes. We concluded the immense metabolite depletion and elevation of adverse metabolites associated with the HFHS diet is suggestive of poor gut health. Further, the differential alterations between female and male mice suggests that sex plays an important role in determining the effect of diet on the metabolome and host health.