CD38 is required for priming by TNF-alpha: a mechanism for extracellular coordination of cell fate

E proteins regulate osteoclast maturation and survival

Osteoclasts are bone-specific polykaryons derived from myeloid precursors under the stimulation of macrophage colony stimulating factor (M-CSF) and receptor activator of NF-κB ligand (RANKL). E proteins are basic helix-loop-helix (bHLH) transcription factors that modulate lymphoid versus myeloid cell fate decisions. To study the role of E proteins in osteoclasts, myeloid-specific E protein gain-of-function transgenic mice were generated. These mice have high bone mass due to decreased osteoclast numbers and increased osteoclast apoptosis leading to overall reductions in resorptive capacity. The molecular mechanism of decreased osteoclast numbers and resorption is in part a result of elevated expression of CD38, a regulator of intracellular calcium pools with known antiosteoclastogenic properties, which increases sensitivity to apoptosis. In vivo, exogenous RANKL stimulation can overcome this inhibition to drive osteoclastogenesis and bone loss. In vitro-derived ET2 osteoclasts are more spread and more numerous with increases in RANK, triggering receptor expressed on myeloid cells 2 (TREM2), and nuclear factor of activated T cells, cytoplasmic 1 (NFATc1) compared to wild type. However, their resorptive capacity does not increase accordingly. Thus, E proteins participate in osteoclast maturation and survival in homeostatic bone remodeling.

Population variability in CD38 activity: correlation with age and significant effect of TNF-α -308G>A and CD38 184C>G SNPs

CD38 (EC 3.2.2.6, NAD(+)-glycohydrolase) is a multifunctional enzyme catalyzing the synthesis and hydrolysis of cyclic ADP-ribose from NAD(+) to ADP-ribose. The loss of CD38 function is associated with impaired immune responses, metabolic disturbances, and behavioral modifications. Notably, it has been linked to HIV infection, leukemias, myelomas, solid tumors, Type II Diabetes mellitus, bone metabolism, as well as Autism Spectrum Disorder. Taking into account the crucial role played by CD38 in many diseases and in clinical practice, here we assessed the distribution of CD38 NADase activity in a healthy population (104 sex-matched unrelated individuals, 12-98 years) and determined its main predictors among genetic and physiological factors (age and sex). The mean value of CD38 NADase activity was 0.051±0.023 mU/mg (0.010-0.099 mU/mg), following a normal distribution in the study population (Kolmogorov-Smirnov test P=0.200). The TNF-α -308G>A (rs1800629) resulted the main predictor (β=0.364, P=0.00008), followed by Age (β=0.280, P=0.002) and the CD38 184C>G (rs6449182) (β=0.193, P=0.033). Our study contributes to understanding CD38 enzyme physiological functions, by reporting, for the first time, its activity distribution in healthy individuals and demonstrating a significant positive correlation with age. Moreover, the possible use of TNF-α -308G>A (rs1800629) and the CD38 184C>G (rs6449182) SNPs as predictive genetic markers of CD38 activity, clearly point toward possible pharmacogenomic applications and to a more refined use of CD38 in clinical settings.

CD38 plays a dual role in allergen-induced airway hyperresponsiveness

The multifunctional surface protein CD38 acts as a receptor with ecto-enzymatic activity, hydrolyzing NAD to generate several products known to exhibit Ca2+-mobilizing properties. Although CD38 is a convenient marker of immune cell development, and an indicator of progression for several diseases, it is not restricted to the immune compartment. To determine the potentially multilayered involvement of CD38 in allergen-induced airway inflammation and hyperreactivity, we dissected the potential role of CD38 as a regulator of immunity, but also pulmonary function. CD38-deficient and wild-type (WT) mice were sensitized and airway challenged with ovalbumin, and subsequently analyzed regarding their level of airway hyperresponsiveness (AHR) in response to methacholine. Parameters of lung inflammation were also analyzed. Similar sets of measurements were obtained from reciprocal bone marrow swapping experiments between CD38(-/-) and WT mice. Mice lacking CD38 exhibit strongly reduced AHR, which is accompanied by a decrease in typical hallmarks of pulmonary inflammation, including eosinophilia and lymphocytic lung infiltrates, as well as Th2-cytokine levels (IL-4, -5, and -13). Antigen-specific immunoglobulin (Ig)E and IgG1 antibody titers are substantially reduced, consistent with CD38 being crucial for mounting a primary humoral systemic immune response. Reconstitution of lethally irradiated, lung-shielded, CD38-deficient mice with WT bone marrow does not restore WT levels of airway hyperreactivity, nor mucus secretion. The opposite experiment, transferring CD38(-/-) bone marrow into WT mice, also shows reduced AHR levels. These studies demonstrate that CD38 not only acts as a key modulator of the immune response, but also plays an equally important role as an intrinsic pulmonary component.

Migration of dendritic cell subsets and their precursors

The ability of dendritic cells (DCs) to initiate and orchestrate immune responses is a consequence of their localization within tissues and their specialized capacity for mobilization. The migration of a given DC subset is typified by a restricted capacity for recirculation, contrasting markedly with T cells. Routes of DC migration into lymph nodes differ notably for distinct DC subsets. Here, we compare the distinct migratory patterns of plasmacytoid DCs (pDCs), CD8alpha(+) DCs, Langerhans cells, and conventional myeloid DCs and discuss how the highly regulated patterns of DC migration in vivo may affect their roles in immunity. Finally, to gain a more molecular appreciation of the specialized migratory properties of DCs, we review the signaling cascades that govern the process of DC migration.

TNF-induced gene expression oscillates in time

With only few exceptions that include Hes-1 p53, and IkappaB, the expression of genes has never been shown to be oscillatory. Here, we show that the inflammatory cytokine TNF triggers oscillations in >5000 genes. We utilize microarrays at 30-min intervals to analyze the pattern of global gene expression in murine macrophages. We find that 15% of genes in the genome underwent a significant >3-fold increase in expression, with 89% of these displaying oscillations at frequencies as low as every 50min. We analyze further two sub-clusters of genes that either began oscillating early or after a lag phase. Through the use of quantitative PCR, we confirm the oscillations and show that the oscillations are continuous. Moreover, we show that these continuous oscillations are not unique to TNF, but that related cytokines such as RANK-L produces oscillations with a unique induction profile. In the two papers accompanying this one, we analyze the mechanism of these oscillations and find that TNF also triggers oscillations in the phosphorylation of MAP kinases, and that these oscillations combine to recruit transcription factors to promoters in a cyclical fashion. The results presented here suggest that gene transcription is a highly dynamic processes, with thousands of genes displaying rapid (<60min) oscillations over time. Considering this dynamism, time-resolved measurements of gene transcription should become the experimental norm.

TNF-induced oscillations in combinatorial transcription factor binding

We have shown in two accompanying papers that TNF induces oscillations in (1) approximately 13% of the genome, and (2) the activation of MAP kinase and NF-kappaB signaling pathways. Here we aim to bridge oscillations in signal transduction activation to oscillations in genetic output. Specifically, we sought to study how these oscillations can combine in a ligand-specific manner at the level of the promoter to initiate gene transcription. We utilize the late onset gene CD38 as a model gene since it has previously been shown that TNF, but not the related cytokine RANK-L, induces its expression. We find that TNF-induced oscillations in p65 and p50 recruitment to the CD38 promoter correlated with recruitment of MAPK-induced AP-1 recruitment, as analyzed by quantitative ChIP analysis. Through re-ChIP analysis we show that a unique transcriptional complex is seen on the promoter at 3h post-TNF addition, corresponding to the onset of CD38 transcription, which is not seen in the basal state. Moreover, we show that RANK-L was unable to combinatorially recruit AP-1 and NF-kappaB transcription factors to the CD38 promoter, despite inducing the activation of both signaling pathways. These results, in sum with the two accompanying papers, constitute a new paradigm through which cells dynamically orchestrate signaling molecules to coordinate time-resolved gene transcription by the formation of novel time-specific transcriptional complexes.