Jordan S Pober’s research while affiliated with Yale University and other places

Expression of IL-15 on the surface of human graft endothelial cells (ECs) bound to the IL-15Rα subunit can increase the activation of CTLs, potentiating allograft rejection. Our previous work showed that surface expression of this protein complex could be induced by alloantibody-mediated complement activation through increased IL-1β synthesis, secretion, and autocrine/paracrine IL-1–mediated activation of NF-κB. In this article, we report that cultured human ECs express eight differently spliced IL-15 transcripts. Remarkably, IL-1β does not alter the expression level of any IL-15 transcript but induces surface expression independently of RNA polymerase II–mediated transcription while requiring new protein translation. Mechanistically, IL-1β causes an NF-κB–mediated reduction in the level of microRNA Let-7c-3p, thereby relieving a block of translation of IL-15 surface protein. Let7c-3p anti-miR can induce EC surface expression of IL-15/IL-15Rα in the absence of complement activation or of IL-1, enabling IL-15 transpresentation to boost CD8 T cell activation. Because of the complexity we have uncovered in IL-15 regulation, we recommend caution in interpreting increased total IL-15 mRNA or protein levels as a surrogate for transpresentation.

Serum response factor (SRF) controls gene transcription in vascular smooth muscle cells (VSMCs) and regulates VSMC phenotypic switch from a contractile to a synthetic state, which plays a key role in the pathogenesis of cardiovascular diseases (CVD). It is not known how post-translational SUMOylation regulates the SRF activity in CVD. Here we show that Senp1 deficiency in VSMCs increased SUMOylated SRF and the SRF-ELK complex, leading to augmented vascular remodeling and neointimal formation in mice. Mechanistically, SENP1 deficiency in VSMCs increases SRF SUMOylation at lysine 143, reducing SRF lysosomal localization concomitant with increased nuclear accumulation and switching a contractile phenotype-responsive SRF-myocardin complex to a synthetic phenotype-responsive SRF-ELK1 complex. SUMOylated SRF and phospho-ELK1 are increased in VSMCs from coronary arteries of CVD patients. Importantly, ELK inhibitor AZD6244 prevents the shift from SRF-myocardin to SRF-ELK complex, attenuating VSMC synthetic phenotypes and neointimal formation in Senp1-deficient mice. Therefore, targeting the SRF complex may have a therapeutic potential for the treatment of CVD.

The in vivo efficacy of polymeric nanoparticles (NPs) is dependent on their pharmacokinetics, including time in circulation and tissue tropism. Here we explore the structure-function relationships guiding physiological fate of a library of poly(amine-co-ester) (PACE) NPs with different compositions and surface properties. We find that circulation half-life as well as tissue and cell-type tropism is dependent on polymer chemistry, vehicle characteristics, dosing, and strategic co-administration of distribution modifiers, suggesting that physiological fate can be optimized by adjusting these parameters. Our high-throughput quantitative microscopy-based platform to measure the concentration of nanomedicines in the blood combined with detailed biodistribution assessments and pharmacokinetic modeling provides valuable insight into the dynamic in vivo behavior of these polymer NPs. Our results suggest that PACE NPs—and perhaps other NPs—can be designed with tunable properties to achieve desired tissue tropism for the in vivo delivery of nucleic acid therapeutics. These findings can guide the rational design of more effective nucleic acid delivery vehicles for in vivo applications.

Chimeric antigen receptor T (CAR-T) cell therapy targeting CD19 only results in complete remission in approximately 30-40% of relapsed/refractory disease patients with diffuse large B-cell lymphoma (DLBCL). Failure may result from lack of CAR-T entry into the tumor. Endogenous T cell homing is initiated by binding to post-capillary venular endothelial cells (ECs). Naïve and central memory T cells use L-selectin binding to peripheral node addressin (PNad) on high endothelial venules (HEVs) of the lymph node while circulating effector memory T cells, lacking L-selectin, use other molecules to bind cytokine-induced endothelial proteins E-selectin, ICAM-1 and VCAM-1 on flat venules of inflamed tissues. Both of these venular EC types are present in inflamed lymph nodes. We hypothesized that the expression patterns of adhesion molecules on venular ECs in pre-treatment tumor biopsies could predict CAR-T efficacy. To test this, we applied cyclic immunofluorescence to 18 archived pre-treatment DLBCL patient FFPE biopsies (8 responders and 10 non-responders, defined by relapse at 12 months). We detected venular ECs using a combination of anti-CD31 and UEA lectin on larger diameter vessels and assessed expression for PNad, E-selectin, ICAM-1, VCAM-1. We detected endogenous CD8+ T cells and evaluated their expression of L-selectin, alpha 4 integrin and PSGL-1. See table 1. DAPI nuclear staining was included in each cycle. Images of each cycle were combined in ImageJ and imported into QuPath for analysis. Using Warpy, affine transformations were applied to DAPI staining to create overlays between imaging cycles. After alignment, representative images of several samples were randomly chosen for image training using a combination of Artificial Neural Networks (ANNs) and classifiers to perform identification and mask tissue regions of vessels and T-cells within the tissue. Positive and negative cells for each marker of interest (EC PNad, ICAM-1, E-Selectin, VCAM-1, and T cell alpha 4 integrin, L-Selectin, and PSGL-1) were used to create classification algorithms to determine marker expression for ECs and T-cells within the tissue. Results were analyzed by unpaired t-test and one-way ANOVA conducted in Graph-Pad Prism 9 software. Preliminary results from quantitative analysis of pre-treatment biopsies show a significant increase in CD31+/PNAD- venular ECs compared to non-responders that were double positive for ICAM1 and VCAM-1 (p=0.0273). This analysis also revealed a significant increase in CD31+/PNAD+ HEV ECs from responders that were triple positive for E-Selectin, ICAM-1, and VCAM-1 (p=0.0242). See figure 1. Our initial semi-quantitative analysis showed a trend toward elevated numbers of tissue-infiltrating CD3 + CD8 + T cells in the pre-treatment biopsies of responders. T cells expressing PSGL-1, a glycoprotein that may carry carbohydrate moieties recognized by E-Selectin and linked to T-cell exhaustion, was increased in the non-responder cohort. These data suggest an increased extent and activation state of intra-tumoral venular ECs and increased endogenous T-cell infiltrates, which may predict the outcome of CAR-T therapy. Analysis of T-cells in the pre-treatment biopsies leveraging machine learning algorithms is in progress and both complete quantitative findings and prognostic value of this approach will be presented. While our findings require further validation thru additional biopsy analysis, they provide emerging evidence for a rationale involving vascular readiness in DLBCL responder differences to CART therapy.