No abstract

• An in vivo model of MDS displays time-dependent defects in HSPCs and in microenvironmental populations.• Normalization of the marrow microenvironment alters disease progression and transformation and improves hematopoietic function.In vitro evidence suggests that the bone marrow microenvironment (BMME) is altered in myelodysplastic syndromes (MDSs). Here, we study the BMME in MDS in vivo using a transgenic murine model of MDS with hematopoietic expression of the translocation product NUP98-HOXD13 (NHD13). This model exhibits a prolonged period of cytopenias prior to transformation to leukemia and is therefore ideal to interrogate the role of the BMME in MDS. In this model, hematopoietic stem and progenitor cells (HSPCs) were decreased in NHD13 mice by flow cytometric analysis. The reduction in the total phenotypic HSPC pool in NHD13 mice was confirmed functionally with transplantation assays. Marrow microenvironmental cellular components of the NHD13 BMME were found to be abnormal, including increases in endothelial cells and in dysfunctional mesenchymal and osteoblastic populations, whereas megakaryocytes were decreased. Both CC chemokine ligand 3 and vascular endothelial growth factor, previously shown to be increased in human MDS, were increased in NHD13 mice. To assess whether the BMME contributes to disease progression in NHD13 mice, we performed transplantation of NHD13 marrow into NHD13 mice or their wild-type (WT) littermates. WT recipients as compared with NHD13 recipients of NHD13 marrow had a lower rate of the combined outcome of progression to leukemia and death. Moreover, hematopoietic function was superior in a WT BMME as compared with an NHD13 BMME. Our data therefore demonstrate a contributory role of the BMME to disease progression in MDS and support a therapeutic strategy whereby manipulation of the MDS microenvironment may improve hematopoietic function and overall survival. (Blood. 2016;127(5):616-625)

Notch signaling is critical for osteoblastic differentiation; however, the specific contribution of individual Notch ligands is unknown. Parathyroid hormone (PTH) regulates the Notch ligand Jagged1 in osteoblastic cells. To determine if osteolineage Jagged1 contributes to bone homeostasis, selective deletion of Jagged1 in osteolineage cells was achieved through the presence of Prx1 promoter-driven Cre recombinase expression, targeting mesenchymal stem cells (MSCs) and their progeny (PJag1 mice). PJag1 mice were viable and fertile and did not exhibit any skeletal abnormalities at 2 weeks of age. At 2 months of age, however, PJag1 mice had increased trabecular bone mass compared to wild-type (WT) littermates. Dynamic histomorphometric analysis showed increased osteoblastic activity and increased mineral apposition rate. Immunohistochemical analysis showed increased numbers of osteocalcin-positive mature osteoblasts in PJag1 mice. Also increased phenotypically defined Lin−/CD45−/CD31−/Sca1−/CD51+ osteoblastic cells were measured by flow cytometric analysis. Surprisingly, phenotypically defined Lin−/CD45−/CD31−/Sca1+/CD51+ MSCs were unchanged in PJag1 mice as measured by flow cytometric analysis. However, functional osteoprogenitor (OP) cell frequency, measured by Von Kossa+ colony formation, was decreased, suggesting that osteolineage Jagged1 contributes to maintenance of the OP pool. The trabecular bone increases were not due to osteoclastic defects, because PJag1 mice had increased bone resorption. Because PTH increases osteoblastic Jagged1, we sought to understand if osteolineage Jagged1 modulates PTH-mediated bone anabolism. Intermittent PTH treatment resulted in a significantly greater increase in BV/TV in PJag1 hind limbs compared to WT. These findings demonstrate a critical role of osteolineage Jagged1 in bone homeostasis, where Jagged1 maintains the transition of OP to maturing osteoblasts. This novel role of Jagged1 not only identifies a regulatory loop maintaining appropriate populations of osteolineage cells, but also provides a novel approach to increase trabecular bone mass, particularly in combination with PTH, through modulation of Jagged1.

Hematopoiesis in vertebrates is sustained over the duration of an organism's lifetime due to strict regulation of the highly hierarchical hematopoietic system, where a few immature hematopoietic stem cells (HSCs) continuously regenerate the entire blood supply, which is constantly being replaced. Although HSCs self-regulate through cell-autonomous processes, they also receive a variety of signals from their microenvironment or niche. Within the microenvironment, HSCs are regulated through both cell-cell interactions and secreted signals, including hormones. HSCs at the apex of the blood supply integrate these signals to produce progeny to support hematopoiesis while simultaneously maintaining a stem cell pool. In the past 10 years, advances in genetic models and flow cytometry have provided the tools to test how the microenvironment regulates HSCs. This review is organized in 3 main parts and will focus on cellular components of the HSC niche that are potential targets for hormonal signals, then review critical regulatory signals in the HSC niche, and finally highlight the emerging role of hormonal and paracrine signals in the bone marrow.

In the phase 3 trial of the AZD1222 (ChAdOx1 nCoV-19) vaccine conducted in the U.S., Chile, and Peru, anti-spike binding IgG concentration (spike IgG) and pseudovirus 50% neutralizing antibody titer (nAb ID50) measured four weeks after two doses were assessed as correlates of risk and protection against PCR-confirmed symptomatic SARS-CoV-2 infection (COVID-19). These analyses of SARS-CoV-2 negative participants were based on case-cohort sampling of vaccine recipients (33 COVID-19 cases by 4 months post dose two, 463 non-cases). The adjusted hazard ratio of COVID-19 was 0.32 (95% CI: 0.14, 0.76) per 10-fold increase in spike IgG concentration and 0.28 (0.10, 0.77) per 10-fold increase in nAb ID50 titer. At nAb ID50 below the limit of detection (< 2.612 IU50/ml), 10, 100, and 270 IU50/ml, vaccine efficacy was −5.8% (−651%, 75.6%), 64.9% (56.4%, 86.9%), 90.0% (55.8%, 97.6%) and 94.2% (69.4%, 99.1%). These findings provide further evidence towards defining an immune marker correlate of protection to help guide regulatory/approval decisions for COVID-19 vaccines.