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. 2024 Feb 19;12:RP88686. doi: 10.7554/eLife.88686

NAD+ prevents septic shock-induced death by non-canonical inflammasome blockade and IL-10 cytokine production in macrophages

Jasper Iske 1,2,, Rachid El Fatimy 3,4,, Yeqi Nian 5,, Amina Ghouzlani 6, Siawosh K Eskandari 7, Hector Rodriguez Cetina Biefer 1,8, Anju Vasudevan 9, Abdallah Elkhal 1,6,
Editors: Satyajit Rath10, Satyajit Rath11
PMCID: PMC10942599  PMID: 38372712

Abstract

Septic shock is characterized by an excessive inflammatory response depicted in a cytokine storm that results from invasive bacterial, fungi, protozoa, and viral infections. Non-canonical inflammasome activation is crucial in the development of septic shock promoting pyroptosis and proinflammatory cytokine production via caspase-11 and gasdermin D (GSDMD). Here, we show that NAD+ treatment protected mice toward bacterial and lipopolysaccharide (LPS)-induced endotoxic shock by blocking the non-canonical inflammasome specifically. NAD+ administration impeded systemic IL-1β and IL-18 production and GSDMD-mediated pyroptosis of macrophages via the IFN-β/STAT-1 signaling machinery. More importantly, NAD+ administration not only improved casp-11 KO (knockout) survival but rendered wild type (WT) mice completely resistant to septic shock via the IL-10 signaling pathway that was independent from the non-canonical inflammasome. Here, we delineated a two-sided effect of NAD+ blocking septic shock through a specific inhibition of the non-canonical inflammasome and promoting immune homeostasis via IL-10, underscoring its unique therapeutic potential.

Research organism: E. coli

Introduction

Sepsis is characterized by a systemic inflammatory response syndrome (Kaukonen et al., 2015) driven by host cells following systemic bacterial (Ramachandran, 2014) and viral infections. The excessive inflammatory response can derail into septic shock resulting in multiple organ failure, the leading cause of death in intensive care units. Inflammasome activation, which downstream pathways cause the release of proinflammatory cytokines and the induction of an inflammatory cell death termed pyroptosis (Kumar, 2018), has been pointed out as the major driver of septic shock. Hereby, a two-armed lipopolysaccharide (LPS)-derived induction of the NLRP3-canonical inflammasome, the major source of IL-1β and IL-18 cytokine production (Lopez-Castejon and Brough, 2011) and the caspase-11-mediated non-canonical inflammasome leading to pyroptosis in monocytes (Yi, 2017), was determined as the underlying mechanism. Mechanistically, caspase-11 acts as a pattern recognition receptor for intracellular bacteria (Ding and Shao, 2017) that cleaves gasdermin D (GSDMD), a membrane pore-forming protein subsequently inducing pyroptotic cell death (Shi et al., 2015). The NLRP3-canonical inflammasome in turn was found to be indispensable (Man et al., 2017) for septic shock-induced death. However, cross-activation through caspase-11 promoting cytokine release has been described (Kayagaki et al., 2015; Kayagaki et al., 2011; Yang et al., 2015a), assigning the non-canonical inflammasome a cardinal role (Kayagaki et al., 2013).

Recent approaches such as anti-proinflammatory cytokine strategies blocking downstream targets of inflammasomes have been ineffective (Angus and van der Poll, 2013) while inhibiting inflammatory key regulators such as NF-κB may promote adverse side-effects (Fraser, 2006). Hence, contemporary clinical therapy of septic shock is based on symptomatic treatment rather than curative approaches that clear the cause of the disease itself.

In our previous studies, we have underscored the immunosuppressive properties of NAD+ in autoimmune diseases and allo-immunity via the regulation of CD4+ T cell fate (Tullius et al., 2014; Elkhal et al., 2016). More recently, we have shown that NAD+ administration protected mice from lethal doses of Listeria monocytogenes (L. m.) via mast cells (MCs) exclusively and independently of major antigen presenting cells (APCs) (Rodriguez Cetina Biefer et al., 2018). However, the underlying mechanism that allows NAD+, to concomitantly protect against autoimmune diseases, via its immunosuppressive properties (Tullius et al., 2014; Elkhal et al., 2016), and against lethal bacterial infection remains unclear.

Therefore, in the current study we investigated whether NAD+ protects against bacterial infection by dampening the systemic inflammatory response associated with sepsis or through enhanced bacterial clearance. Although, wild type (WT) mice subjected to NAD+ or PBS and lethal doses of pathogenic Escherichia coli (E. coli) exhibited similar bacterial load in various tissues, mice treated with NAD+ displayed a robust survival. Moreover, NAD+ protected against LPS-induced death that was associated with a dramatic decrease of systemic IL-1β and IL-18 levels, two major cytokines involved in the inflammasome signaling machinery. More importantly, we show that NAD+ protected from LPS-induced death by targeting specifically the non-canonical inflammasome via a blockade of the STAT1/IFN-β signaling pathway. Moreover, NAD+ treatment rendered not only caspase-11 knockout (KO) but WT mice fully resistant to poly(I:C)+LPS-induced septic shock, via an inflammasome-independent pathway mediated by a systemic IL-10 cytokine production.

Results

NAD+ protects mice against septic shock not via bacterial clearance but via inflammasome blockade

Our previous studies have underscored the role of NAD+ in regulating CD4+ T cell fate and its immunosuppressive properties via IL-10 cytokine production (Tullius et al., 2014; Elkhal et al., 2016; Rodriguez Cetina Biefer et al., 2018). More recently, we have shown that NAD+ protected mice against lethal doses of L. m. independently of major APCs (Tullius et al., 2014). However, it remained unclear whether NAD+ protected mice against lethal doses of L. m., a gram-positive bacterium, via a clearance mechanism or by dampening the inflammatory response. Since L. m. is known to be an intracellular pathogen, we tested if NAD+ protects as well against E. coli, a gram-negative bacterium that is well known to induce septic shock (Mellata et al., 2016). WT mice were treated with NAD+ or PBS for 2 consecutive days followed by a lethal dose (1×109) of E. coli or PBS. Notably, mice treated with PBS died within 5 hr after infection, while mice treated with NAD+ exhibited an impressive survival (Figure 1A). Moreover, when assessing the bacterial load in liver and kidney (Figure 1B), organs exposed to the infection, by counting CFU in both, NAD+ and PBS groups, revealed no significant difference, suggesting that NAD+ does not promote bacterial clearance. More importantly, these data suggest that NAD+ may reduce the inflammatory response toward bacterial infection. It is well established that the bacterial LPS abundant on the outer membrane exhibits a key role in the pathology of E. coli-derived septic shock (Angus and van der Poll, 2013). Thus, we further characterize the impact of NAD+ on septic shock by subjecting mice to a lethal dose (54 mg/kg) of two different LPS serotypes (O111:B4 and O55:B5) described to vary in the antigen lipid A content and to promote distinct hypothermia kinetics (Dogan et al., 2000). Following LPS (O111:B4 and O55:B5) administration, PBS-treated control mice displayed severe symptoms of endotoxic shock with a dramatical body temperature decrease (<23°C) within 15 hr. In contrast, mice subjected to NAD+ exhibited highly distinct kinetics with a recovery of body temperatures after 15 hr (Figure 1C). When monitoring survival, 100% of PBS-treated mice succumbed to LPS after 24 hr while NAD+-treated animals exhibited an overall survival >85% (Figure 1D), which was consistent with our bacterial infection model. Mice infected and treated with NAD+ survived for several months and recovered fully after 10 days. Of note, mice survived for over a year following infection and died of aging. LPS-induced death derives from multi-organ failure (Bullock and Benham, 2019). Therefore, lung, kidney, liver, ileum, and spleen were harvested 15 hr after LPS administration and tissue damage was assessed by hematoxylin and eosin (H&E) staining. Tissue evaluation indicated severe pulmonary hemorrhage, excessive tubular fibrin deposition, hepatocyte cell swelling, disseminated intravascular coagulation (DIC), and ileal villi destruction consistent with a multi-organ dysfunction syndrome (Rossaint and Zarbock, 2015) in mice treated with PBS. In contrast, NAD+ administration dramatically attenuated signs of organ failure with significantly less pulmonary hemorrhage and DIC, intact liver and kidney tissue architecture, and preserved ileal villi (Figure 1E, Figure 1—figure supplement 1, and Figure 1—figure supplement 2). To elucidate the protective effects of NAD+ systemic levels of IL-1β and IL-18, two major cytokines implicated in inflammasome activation were measured 10 and 15 hr after intraperitoneal injection of LPS (Figure 1F). Of, note IL-6 and TNFα systemic levels were measured as well (Figure 1F). Our findings indicated that LPS injection resulted in a robust systemic increase of IL-1β, IL-6, TNFα, and IL-18 in the PBS group, which was almost abolished in NAD+-treated mice. Taken together, our results suggest that NAD+ protects mice against septic shock not via bacterial clearance but rather via inflammasome blockade.

Figure 1. NAD+ protects mice from lethal bacterial infection and endotoxic shock by dampening systemic inflammation.

(A) Mice were treated with PBS or NAD+ prior to administration of a lethal dose of either pathogenic E. coli or lipopolysaccharide (LPS) by intraperitoneal injection. (B) After the death of each animal, lungs, kidney and livers were removed and bacterial load was determined by counting colony-forming unit (CFU). Column plots display mean with standard deviation (n=3). (C) Survival was monitored over 48 hr after bacterial infection and (D) LPS injection of both serotypes (n=6, 3 independent survival experiments). In addition, body temperature was monitored in the kinetics of up to 100 hr. (E) Lungs, kidneys, and livers were removed and IHC was performed for hematoxylin and eosin (H&E) staining. (F) Systemic levels (serum) of IL-6, TNFα, IL-1β, and IL-18 were assessed by ELISA. Column plots display mean with standard deviation (n=5). Statistical significance was determined by using Student’s t-test or one-way ANOVA while survival data were compared using log-rank Mantel-Cox test. Asterisks indicate p-values *=p<0.05, **=p<0.01, and ***=p<0.001, only significant values are shown. All data depicted in this figure are provided as source data.

Figure 1—source data 1. Raw data for Figure 1B: Bacterial load.
Figure 1—source data 2. Raw data for Figure 1C: E. coli infection.
Figure 1—source data 3. Raw data for Figure 1D: Lipopolysaccharide (LPS) infection.
Figure 1—source data 4. Raw data for Figure 1E: Histology.
Figure 1—source data 5. Raw data for Figure 1F: ELISA.

Figure 1.

Figure 1—figure supplement 1. NAD+ preserves ileal villi structure and reduces splenic hemorrhage during lipopolysaccharide (LPS)-induced septic shock.

Figure 1—figure supplement 1.

C57BL/6 mice were treated with PBS or NAD+ for 2 days prior to administration of a lethal dose of LPS (O55:B5/O111:B4) by intraperitoneal injection. Ileum and spleen were removed after 15 hr and subsequently IHC for hematoxylin and eosin (H&E) staining was performed. All data depicted in this figure are provided as source data.
Figure 1—figure supplement 1—source data 1. Raw data for Figure 1—figure supplement 1: Histology.
Figure 1—figure supplement 2. Neutrophils per mm2 infiltrating mice: ileum, kidney, lung, and liver in the IHC stains.

Figure 1—figure supplement 2.

C57BL/6 mice were treated with PBS or NAD+ for 2 days prior to administration of a lethal dose of lipopolysaccharide (LPS) (O55:B5/O111:B4) by intraperitoneal injection. After a 15 hr interval, the ileums, lungs, kidneys, and livers were extracted and subjected to immunohistochemical staining with hematoxylin and eosin (H&E). Neutrophil quantification was performed subsequent to the immunohistochemical staining in various tissue samples. Notably, in the kidney, lung, and liver tissues, the number of neutrophils was observed to be significantly higher in the PBS-treated mice group as compared to the NAD+-treated mice group. Column plots display mean with standard deviation (n=4–5). Statistical significance was determined by using Student’s t-test or one-way ANOVA. Asterisks indicate p-values *=p<0.05, **=p<0.01. All data depicted in this figure are provided as source data.
Figure 1—figure supplement 2—source data 1. Raw data for Figure 1—figure supplement 2: Neutrophil count.

NAD+ specifically inhibits the non-canonical inflammasome

Our data suggest that NAD+ protects against septic shock via inflammasome blockade. Monocytes, especially macrophages, have been described as major drivers of inflammasome-derived cytokine secretion in the context of septic shock (Evans, 1996). Thus, to test the effect of NAD+ on inflammasome function, bone marrow-derived macrophages (BMDMs) were obtained and both canonical and non-canonical inflammasomes were stimulated in the presence or absence of 100 µmol/ml NAD+. Activation of the canonical pathway was achieved through LPS priming (1 µg/ml) followed by ATP stimulation (5 mmol/l). Notably, BMDMs subjected to NAD+ or PBS treatment followed by canonical inflammasome activation did not exhibit any significant difference in IL-1β secretion or pyroptosis that was assessed by LDH release measurement, a marker for cell death (Chan et al., 2013; Figure 2A). To trigger the non-canonical inflammasome pathway, BMDMs were primed with Pam3CSK4, a TLR1/2 agonist, followed by cholera toxin B (CTB) and LPS (2 µg/ml) administration. The data showed that NAD+ treatment resulted in a robust reduction of IL-1β release and cell death when compared to the PBS control group (Figure 2A). Furthermore, western blotting revealed that BMDMs cultured in the presence of NAD+ exhibited a dramatic decrease of casp-11 expression and its downstream targets including casp-1, IL-1β, and cleaved GSDMD (Figure 2B). Moreover, we observed a prominent decrease in casp-1 expression under NAD+ treatment that was constant over the time course of 16 hr. In contrast, BMDMs treated with PBS exhibited excessive casp-1 expression at 4 hr that was found to be absent after 16 hr (Figure 2C), which is consistent with the strong cytotoxicity leading to membrane permeabilization and release of casp-1 into the supernatant. Noteworthy, Pam3CK4-derived BMDM priming was not affected by NAD+ since NF-κB as well as pro-caspase-1 levels had not been altered (Figure 2A and Figure 2—figure supplement 1) underlining the specific inhibition of casp-11. To visualize NAD+-mediated blockade of pyroptotic macrophage death, BMDMs were treated with PBS or NAD+, primed with Pam3CSK4, then stimulated with LPS and CTB, and cell viability and apoptosis were monitored using the IncuCyte live microscopy system. Hereby, we observed distinct longitudinal kinetics over 100 hr with complete disaggregation of cell integrity in the PBS group contrary to overall preserved cell structure in NAD+-treated BMDMs (Figure 2D, Figure 2—figure supplement 2, Video 1). To rule out that NAD+ impairs LPS internalization into cells, BMDMs were stimulated with CTB and LPS that was coupled to a fluorescent reporter (FITC) and transfection effectivity was assessed by fluorescence microscopy and flow cytometry. Our data indicated no significant difference between the PBS and NAD+-treated group (Figure 2E), suggesting that NAD+ does not alter LPS internalization. Notably, BMDMs only stimulated with LPS showed no internalization of LPS consistent with previous reports (Kayagaki et al., 2013). Casp-4 and -5 have been delineated as the human homolog of casp-11 in mice carrying out the same effector functions including pyroptosis induction and IL-1β secretion (Shi et al., 2014). As clinical relevance, we therefore tested whether NAD+ was also able to block the non-canonical pathway in human macrophages. Hence, human macrophages were differentiated from PBMC and treated with NAD+ followed by intracellular LPS transfection (Fugene) and IL-1β secretion and cytotoxicity were quantified. The results indicated that NAD+ treatment significantly dampened both IL-1β secretion and pyroptosis (Figure 2F), underscoring its therapeutic potential. Collectively, our results suggest that NAD+ acts directly on macrophages by targeting specifically the non-canonical inflammasome signaling machinery.

Figure 2. NAD+ specifically inhibits the non-canonical inflammasome by targeting caspase-11.

Bone marrow was isolated from mice and bone marrow-derived macrophages (BMDMs) were differentiated in vitro. Subsequently, BMDMs were cultured in the presence of NAD+ or PBS. BMDMs were then primed with either Pam3CSK4 or lipopolysaccharide (LPS) O111:B4. Next primed BMDMs were stimulated with ATP or LPS and cholera toxin B (CTB). (A) Pro-casp-1, pro-casp-11, casp-11, NLRP3, casp-1, IL1β, and gasdermin D (GSDMD) expression were determined using western blot and (B) IL-1β secretion and LDH release were assessed in the supernatant. Column plots display mean with standard deviation (n=5-8). (C) Time-dependent caspase-1 expression was determined via active staining and assessed using a confocal microscope. Column plots display mean with standard deviation (n=5) (D) Cell viability and apoptosis were monitored using the IncuCyte live microscopy system. (E) LPS transfection with CTB was visualized by using FITC-coupled LPS and DAPI staining and quantified by confocal microscopy and flow cytometry. Column plots display mean with standard deiation (n=6) (F) For human experiments macrophages were differentiated from PBMC, primed with Pam3CSK4 and subsequently transfected with LPS and 0.25% Fugene HD Plus. Column plots display mean with standard deviation (n=6). Statistical significance was determined by using Student’s t-test or one-way ANOVA. Asterisks indicate p-values *=p<0.05, **=p<0.01, and ***=p<0.001, only significant values are shown. All data depicted in this figure are provided as source data.

Figure 2—source data 1. Raw data for Figure 2A: Original western blots.
Figure 2—source data 2. Raw data for Figure 2A: Western blots with highlighted bands and sample labels.
Figure 2—source data 3. Raw data for Figure 2B: ELISA mouse bone marrow-derived macrophages (BMDMs).
Figure 2—source data 4. Raw data for Figure 2C: Caspase-1 staining.
Figure 2—source data 5. Raw data for Figure 2D: IncuCyte live microscopy.
Figure 2—source data 6. Raw data for Figure 2E: Lipopolysaccharide (LPS) transfection staining.
Figure 2—source data 7. Raw data for Figure 2F: ELISA human macrophages.

Figure 2.

Figure 2—figure supplement 1. NAD+ does not alter bone marrow-derived macrophage (BMDM)-derived NF-κB expression or phosphorylation.

Figure 2—figure supplement 1.

Differentiated BMDMs were cultured in the presence of 100 µmol NAD+ or PBS for 2 following days. BMDMs were then primed with 1 µg/ml Pam3CSK4 and subsequently stimulated with 2 µg/ml lipopolysaccharide (LPS) O111:B4 and 20 µg/ml cholera toxin B (CTB). Unstimulated BMDMs served as controls. (A) P52 and p65 expression was determined using western blot. (B) Stimulated BMDMs were stained with p52, p65, and phospho-p65 and expression levels assessed using confocal microscopy. All data depicted in this figure are provided as source data.
Figure 2—figure supplement 1—source data 1. Raw data for Figure 2—figure supplement 1A: Western blot.
Figure 2—figure supplement 1—source data 2. Raw data for Figure 2—figure supplement 1A: Western blots bands with highlighted and sample labels.
Figure 2—figure supplement 1—source data 3. Raw data for Figure 2—figure supplement 1B: Immunofluorescence.
Figure 2—figure supplement 2. Unstimulated bone marrow-derived macrophage (BMDM) cell viability and apoptosis.

Figure 2—figure supplement 2.

Differentiated BMDMs were cultured in the presence of 100 µmol NAD+ or PBS for 2 following days. BMDMs were then primed with 1 µg/ml Pam3CSK4, subsequently stimulated with 2 µg/ml lipopolysaccharide (LPS) O111:B4 and 20 µg/ml cholera toxin B (CTB), and cell viability and apoptosis were monitored for 100 hr using the IncuCyte live microscopy system. All data depicted in this figure are provided as source data.
Figure 2—figure supplement 2—source data 1. Raw data for Figure 2—figure supplement 2: IncuCyte live microscopy.

Video 1. Live Microscopy of NAD+ and PBS treated BMDMs subjected to non-canonical inflammasome activation.

Download video file (36.4MB, mp4)

NAD+ inhibits the non-canonical inflammasome via STAT-1/IFN-β pathway blockade

Although our data emphasized that NAD+ blocks the non-canonical inflammasome pathway, the underlying mechanisms remained yet to be determined. Therefore, we performed RNA-sequencing of Pam3CSK4 primed BMDMs that were treated with PBS or NAD+ and subsequently stimulated with CTB+LPS O111:B4. Interestingly, when blotting gene expression differences in a Venn diagram, we found strikingly more genes commonly expressed in the NAD+ and control group when compared to the PBS-treated group (Figure 3A). Gene ontology enrichment analysis revealed a significant downregulation of genes involved in the antiviral response in addition to the cellular response to the type I IFN, IFN-β, when comparing NAD+ and PBS-treated groups (Figure 3B). Type I IFN are known to promote the expression of over 2000 IFN-stimulated genes (ISGs), translated into ISGs-induced proteins which have been shown to act by enhancing pathogen detection and restrict their replication (Schneider et al., 2014). Recently, it was reported that type I IFNs are required for casp-11 expression contributing to non-canonical inflammasome activation (Rathinam et al., 2012; Tang et al., 2018). Consistently, LPS-stimulated macrophages from TRIF-deficient mice displayed impaired casp-11 expression, implying a context-dependent role for type I IFN in the regulation of caspase-11 activity (Rathinam et al., 2012). Indeed, when comparing expression of genes involved in IFN-β signaling through cluster analysis we found a significant decrease in a broad range in genes in the NAD+-treated group (Figure 3C). Most strikingly, GTPases and guanylate binding proteins involved in the downstream signaling of IFN-β were significantly downregulated (Figure 3C and Figure 3D) while IFN-β-receptor 2 expression remained unaffected (Figure 3C). Recently, IFN-inducible GTPases and guanylate binding proteins have been assigned a crucial role for the intracellular recognition of LPS and linked caspase-11 activation (Tang et al., 2018; Pilla et al., 2014). Thus, to test if NAD+ mediated non-canonical inflammasome blockade via IFN-β, NAD+ or PBS-treated BMDMs were primed with Pam3CSK4 and subsequently stimulated with LPS O111:B4+CTB and 1000 U/ml of recombinant IFN-β. Strikingly, administration of recombinant IFN-β resulted in a complete reversal of NAD+-mediated blockade of IL-1β secretion and pyroptosis (Figure 3E). Moreover, IFN-β administration restored casp-11, NLRP3, and GSDMD expression in the NAD+-treated group (Figure 3F). It is well established that signal transducer activator of transcription-1 (STAT-1) phosphorylation constitutes the link between intracellular type I IFN signaling and the transcription of ISGs through nuclear translocation (Stark and Darnell, 2012; Ivashkiv and Donlin, 2014). Notably, our RNA-sequencing data indicated a significant downregulation of STAT-1 (Figure 3C). Moreover, we have previously shown that NAD+ administration dampens the expression and activation of transcription factors such as STAT-5 (Elkhal et al., 2016). To test, whether NAD+ blocks IFN-β signaling via STAT-1, BMDMs were subjected to NAD+ or PBS followed by non-canonical inflammasome stimulation and recombinant IFN-β. After 16 hr STAT-1 expression and phosphorylation were assessed by western blotting. Consistent with our previous results, NAD+ treatment downregulated expression levels of STAT-1 and phospho-STAT-1. In contrast, addition of recombinant IFN-β treatment to NAD+-treated BMDMs restored STAT-1 and phospho-STAT-1 expression that was equivalent to the PBS-treated group (Figure 3G). Taken together, our data indicate that NAD+ impedes non-canonical inflammasome activation via IFN-β/STAT-1 blockade (Figure 4).

Figure 3. NAD+-mediated inhibition of the non-canonical inflammasome is based on an impaired response to IFN-β.

Figure 3.

Differentiated bone marrow-derived macrophages (BMDMs) were cultured in the presence of NAD+ or PBS. BMDMs were then primed with Pam3CSK4, subsequently stimulated with lipopolysaccharide (LPS) and cholera toxin B (CTB) and RNA-sequencing was performed. Unstimulated BMDMs served as controls. (A) Venn diagram plotting common gene expression between all three groups. (B) Gene ontology enrichment analysis displaying the highest significant pathways differing when comparing NAD+ and PBS-treated BMDMs. (C) Expression cluster analysis of genes involved in IFN-β signaling through cluster analysis depicted in a heat map. (D) Volcano plot displaying the most significant genes up- or downregulated comparing NAD+ and PBS-treated BMDMs. (E) Stimulated BMDMs were additionally treated with recombinant INF-β, and IL-1β and LDH release were measured. Column plots display mean with standard deviation (n=6) (F) Moreover, pro-casp-1, casp-11, NLRP3, gasdermin D (GSDMD), (G) signal transducer activator of transcription-1 (STAT-1), and phospho-STAT-1 expression were assessed by western blot. Statistical significance was determined by using Student’s t-test or one-way ANOVA. Asterisks indicate p-values *=p<0.05, **=p<0.01, and ***=p<0.001, only significant values are shown. All data depicted in this figure are provided as source data.

Figure 3—source data 1. Raw data for Figure 3E: ELISA bone marrow-derived macrophage (BMDM).
Figure 3—source data 2. Raw data for Figure 3F: Original western blots.
Figure 3—source data 3. Raw data for Figure 3F: Western blots with highlighted bands and sample labels.
Figure 3—source data 4. Raw data for Figure 3G: Original western blots.
Figure 3—source data 5. Raw data for Figure 3G: Western blots with highlighted bands and sample labels.

Figure 4. Inhibitory effects of NAD+ on IFN-β downstream signaling and inflammasome activation.

Figure 4.

NAD+ inhibits signal transducer activator of transcription-1 (STAT-1) expression and phosphorylation, thus compromising the intracellular response to IFN-β. Subsequently, stimulation of the IFNAR receptor by IFN-β leads to a decreased transcription of pro-caspase-11 as well as IFN-stimulated genes (ISGs) (IFN-inducible GTPases and GBPs). Due to diminished caspase-11 levels, non-canonical inflammasome activation through intracellular, gram-negative bacteria opsonization by GBPs is significantly inhibited.

NAD+ increases caspase-1 KO mice resistance to endotoxic shock via systemic IL-10 production

Caspase-11 KO mice have been reported to be resistant toward lethal doses of LPS inducing septic shock (Kayagaki et al., 2013). However, upon priming with TLR3 instead of a TLR4 ligand, casp-11 KO mice merely exhibit partial resistance toward LPS-induced shock with a 50–60% survival rate (Kayagaki et al., 2013; Hagar et al., 2017). Our data indicate that NAD+ prevents LPS-induced cell death via the non-canonical inflammasome pathway and casp-11 blockade. We thus tested whether NAD+ could achieve similar protection against septic shock in WT vs casp-11 KO mice. Casp-11 KO mice were intraperitoneally injected with NAD+ and PBS and treated with 6 mg/kg poly(I:C) 6 hr prior to LPS administration. Consistent with previous studies the results indicated a modest resistance of casp-11 KO mice (40% survival). In high contrast, both WT and casp-11 KO mice subjected to NAD+ exhibited 85–100% survival, respectively, when compared to casp-11 KO mice that were treated with PBS, suggesting the existence of an alternative protective pathway against septic shock that is casp-11 independent. WT mice, treated with 6 mg/kg poly(I:C) followed by LPS (54 mg/kg) administration, not only survived but fully recovered 7 days later, underscoring the unique and robust therapeutic effect of NAD+ in septic shock. Previous studies have reported inferior outcomes of IL-10-/- mice in septic shock (Latifi et al., 2002; Berg et al., 1995) pointing out a 20-fold lower lethal dose of LPS compared to WT mice (Berg et al., 1995). Moreover, IL-10 itself has been shown to prevent mice from septic shock-induced death after a single administration (Howard et al., 1993). We have previously delineated immunosuppressive properties of NAD+ via a systemic production of IL-10, a robust immunosuppressive cytokine. In addition, we have described the pivotal role of NAD+ protecting toward EAE and allograft rejection via an increased frequency of IL-10 producing CD4+ T cells (Tullius et al., 2014; Elkhal et al., 2016). To test if IL-10 plays an additional protective role in the context of NAD+-mediated protection toward LPS-induced death, WT mice treated with NAD+ or PBS subjected to intraperitoneal LPS injection (54 mg/kg) and IL-10 expression by macrophages, dendritic cells, and T cells was assessed 15 hr after LPS administration. Consistent with our previous studies (Tullius et al., 2014; Elkhal et al., 2016), we found significantly augmented frequencies of IL-10 producing CD4+ and CD8+ T cells (Figure 5C). Moreover, we detected a dramatic increase of IL-10 production by macrophages, but not the DC population (Figure 5B). Interestingly, IL-10 has been described to inhibit macrophage function and proinflammatory cytokine production in both, human (de Waal Malefyt et al., 1991) and mice (Fiorentino et al., 1991). Moreover, autocrine IL-10 secretion of macrophages was found to decrease pro-IL-1β concentration by promoting STAT-3 expression (Sun et al., 2019). To investigate the potential autocrine impact of an augmented IL-10 production on macrophage self-regulation, we administered combined IL-10 neutralizing antibody and IL-10 receptor antagonist to BMDMs primed with Pam3CSK4 and stimulated with CTB and LPS O111:B4. The results showed that neutralization of the autocrine IL-10 signaling pathway dampened NAD+-mediated decrease of IL-1β secretion and reversed pyroptotic cell death partially (Figure 5D). To further investigate the relevance of our in vitro findings, IL-10-/- mice were treated with NAD+ or PBS, subjected to LPS (54 mg/kg) and survival was monitored. Consistent with previous reports (Latifi et al., 2002; Berg et al., 1995), mice lacking IL-10 exhibited an inferior protection against septic shock when compared to WT animals. More importantly, IL-10-/- mice subjected to NAD+ exhibited a compromised survival (Figure 5E), suggesting that systemic production of IL-10 following NAD+ administration plays a pivotal role in NAD+-mediated protection against septic shock.

Figure 5. IL-10 constitutes an additional mechanism mediating the protective capacities of NAD+ in the context of septic shock.

Figure 5.

(A) Caspase-11 KO (knockout) mice were treated with NAD+ or PBS. Subsequently mice were subjected to poly(I:C) prior to lipopolysaccharide (LPS) injection and survival was monitored (n=5, 2 independent survival experiments). Mice treated with either NAD+ or PBS were injected with LPS and after 10 hr, splenic frequencies of IL-10 producing (B) macrophges and dendritic cells (C) and CD4+ and CD8+ T cells were assessed by flow cytometry. Box plots display fold change of leukocyte proportions as mean with standard deviation (n=5) (D) Bone marrow-derived macrophages (BMDMs) treated with NAD+ or PBS were stimulated with LPS and cholera toxin B (CTB) in the presence of IL-10 neutralizing antibodies and IL-10 receptor antagonists. Subsequently IL-1β and LDH release were assessed. Column plots display mean with standard deviation (n=6) (E) IL-10-/- mice treated with NAD+ or PBS were challenged with LPS and survival was monitored (n=5–7, 2 independent survival experiments). Statistical significance was determined by using Student’s t-test or one-way ANOVA while survival data were compared using log-rank Mantel-Cox test. Asterisks indicate p-values *=p<0.05, **=p<0.01, and ***=p<0.001, only significant values are shown. All data depicted in this figure are provided as source data.

Figure 5—source data 1. Raw data for Figure 5A: Casp11 knockout (KO) survival.
Figure 5—source data 2. Raw data for Figure 5B: FACS macrophages and DCs.
Figure 5—source data 3. Raw data for Figure 5C: FACS CD4+ and CD8+ T cells.
Figure 5—source data 4. Raw data for Figure 5D: ELISA bone marrow-derived macrophage (BMDM).
Figure 5—source data 5. Raw data for Figure 5E: IL-10-/- survival.

Discussion

Previously, we have delineated the protective role of NAD+ in the context of L. m. infection, a gram-positive bacterium (Rodriguez Cetina Biefer et al., 2018). However, it remained unclear whether NAD+ conveyed resistance toward L. m. by an augmented bacterial clearance or rather through its immunosuppressive effects dampening pathological systemic inflammation. Although the cell membrane of L. m. has been shown to bear lipoteichoic acids, which resemble the endotoxin LPS from gram-negative bacteria in both, structure and function, it is widely considered as an intracellular bacterium (Farber and Peterkin, 1991). In our current study, we administered a lethal dose of pathogenic E. coli, that is well known to promote septic shock, and showed that NAD+ also protected toward a lethal dose of this gram-negative bacterium. More importantly, we demonstrate that NAD+ conveys protection toward septic shock by specifically inhibiting the non-canonical inflammasome but not via bacterial clearance. Mechanistically, NAD+ impedes pro-casp-11 and casp-11 expression in macrophages blocking non-canonical-derived GSDMD cleavage and NLRP3 inflammasome activation, thus inhibiting pyroptotic cell death and proinflammatory cytokine release. The resistance of NAD+-treated WT mice against E. coli and LPS-induced septic shock reflected the robust inhibitory effect observed in vitro of NAD+ on the non-canonical inflammasome signaling machinery.

Until now, the exact mechanism how pro-casp-11 expression and its maturation to casp-11 is regulated remains unclear. Given the low basal expression of both pro-casp-11 and casp-11 (Schauvliege et al., 2002), a priming signal is required for initiating the non-canonical inflammasome pathway and macrophage sensing of intracellular LPS (Yang et al., 2015b). Previous work has demonstrated that transcriptional induction of the pro-casp-11 isoforms p42 and p38 in macrophages requires type I IFN stimulation (Schauvliege et al., 2002; Yen and Ganea, 2009) while IFN-β has been shown to promote transcriptional induction and processing of caspase-11 (Rathinam et al., 2012). In line with these findings, CTB treatment of macrophages primed with Pam3csk4 failed to elicit IL1-β release compared to LPS primed controls while exogenous administration of IFN-β in turn restored CTB-induced IL-1β production (Rathinam et al., 2012) underscoring the transcriptional role of type I IFN. Our RNA-sequencing results indicated a dampened cellular response toward IFN-β while western blotting revealed a significant downregulation of both, pro-casp-11 and casp-11, suggesting a transcriptional downregulation of both enzymes. Consistently, NAD+ decreased STAT-1 expression and phosphorylation, which constitutes the mechanistic link between extracellular type I IFN stimulation and transcriptional effects through translocation of phosphorylated STAT-1 to the nucleus inducing ISGs (Ivashkiv and Donlin, 2014). Thus, treatment of stimulated macrophages subjected to NAD+ with recombinant IFN-β restored STAT-1 signaling, caspase-11 expression, and GSDM cleavage which translated into reconstituted IL-1β production and LDH release. Collectively, NAD+ mitigates the intracellular response to IFN-β that leads to non-canonical inflammasome induction by suppressing macrophage-derived STAT-1 expression and phosphorylation. Furthermore, we showed that NAD+ treatment improved resistance of casp-11 KO mice toward poly I:C primed septic shock. More importantly, WT mice treated with NAD+ exhibited 100% survival while casp-11 KO mice treated with PBS exhibited a modest 40% survival, suggesting that NAD+ promotes survival beyond non-canonical inflammasome blockade. Our previous studies have delineated the effects of NAD+ on various immune cells such as dendritic cells and CD4+ T cells including Th1, Th17, regulatory type 1 (Tr1), and Treg cells communicated exclusively through MCs (Tullius et al., 2014; Elkhal et al., 2016; Rodriguez Cetina Biefer et al., 2018). Thereby, NAD+ treatment promoted MC-derived induction of TR1 cells that resulted into increased systemic levels of IL-10. Latter one was found to play a cardinal feature during bacterial infection as MC-/- mice were more susceptible to L. m. infection than WT animals when treated with NAD+. Here, we found a direct effect of NAD+ on macrophages by specifically inhibiting the non-canonical inflammasome and promoting IL-10 production. Polymorphisms in the IL-10 locus or IL-10R deficiencies have been linked to severe intestinal inflammatory diseases in both, human and mice (Franke et al., 2008; Franke et al., 2010; Kühn et al., 1993; Begue et al., 2011). More importantly, mice deficient for IL-10 have been shown to display elevated inflammasome activation and IL-1β production resulting in severe colitis (Zhang et al., 2014) or Ag-induced arthritis (Greenhill et al., 2014). When inhibiting the autocrine pathway for IL-10 through combined receptor antagonization and IL-10 neutralization, we found a pronounced increase of IL-1β production of NAD+-treated macrophages stimulated with CTB and LPS (Figure 4D). This is consistent with previous reports showing that autocrine IL-10 signaling interferes with the transcription of pro-IL-1β (Sun et al., 2019). LDH release, in turn, was only restored partly possibly due to missing effects of second party leucocytes secreting IL-10 in vivo such as Tr1 cells which have been shown to inhibit the transcription of IL-1β and inflammasome-mediated activation of caspase-1 (Yao et al., 2015). More recently, casp-8, that plays a central role in apoptosis, has been reported as an important mediator of endotoxemia resistance and LPS-driven systemic inflammation. Since our RNA-sequencing results revealed a dramatically attenuated cellular response toward type I IFN with downregulation of various interferon regulatory factors, that have been reported as major regulators of casp-8 (Apelbaum et al., 2013; Newton et al., 2019), it is possible that NAD+ may exert protection against septic shock by altering caspase-8 expression as well. Although we have previously reported the protective effect of NAD+ against apoptosis of activated CD4+ T cells (Tullius et al., 2014), it remains yet to be determined how NAD+ impacts executioner proteins of other cell death processes such as apoptosis and necroptosis.

Notably, both casp-8 and casp-11 have been found dispensable in the hematopoietic compartment that produces the proinflammatory cytokines necessary to initiate shock (Mandal et al., 2018). Thus, NAD+ treatment may improve resistance of casp-11 KO mice to septic shock by also dampening the initiating proinflammatory cytokine cascade via its systemic IL-10 cytokine production. Importantly, while inhibiting macrophage-derived inflammasome function, NAD+ does not interfere with NF-κB signaling which has been shown to promote various inflammatory and autoimmune diseases when dysregulated (Liu et al., 2017). Taken together, we dissected the dichotomous capacity of NAD+ to dampen auto- and allo-immunity while concomitantly protecting toward severe bacterial infection, outlining its unique effects in the context of septic shock.

Materials and methods

Animals

Young (8–12 weeks) C57BL/6, B6.129P2-IL10tm1Cgn/J, and B6.129S4(D2)-Casp4tm1Yuan/J mice were purchased from Charles River Laboratory, Wilmington, MA, USA. All mice were male, age-matched and experimental and control animals were housed separately. Animals and samples were randomly assigned to either the control or treatment group to ensure biological diversity. The study protocol was approved by the Brigham and Women’s Hospital Institutional Animal Care and use Committee (IACUC) (animal protocol #2018N000049). All mice were male, age-matched and experimental and control animals were housed separately. Owing to the exploratory nature of our study, we did not use randomization and blinding. No statistical methods were used to predetermine sample size. All animals were maintained in specific pathogen-free conditions at the Brigham and Women’s Hospital animal facility in accordance with federal, state, and institutional guidelines. Animals were maintained on 12 hr light, 12 hr dark cycle in facilities with an ambient temperature of 19–22°C and 40–60% humidity and were allowed free access to water and standard chow. Euthanasia was performed by cervical dislocation following anesthesia with isoflurane (Patterson Veterinary, Devens, MA, USA).

Murine bone marrow-derived macrophage differentiation and culture

8- to 12-week-old C57BL/6 mice were euthanized by cervical dislocation, sprayed with alcohol and skin was removed to expose femurs. The femur was flushed with ice-cold PBS and the obtained bone marrow was filtered through 70 µm Nylon cell strainer. After washing with PBS, red blood cell lysis was performed using ammonium-chloride-potassium solution (Fisher Scientific) and the reaction was blocked with complete Dulbecco’s modified eagle medium (DMEM) (Fisher Scientific) supplemented with 10% endotoxin-free bovine serum and PS. To minimize fibroblast contamination cells were cultured in complete DMEM at 37°C, 5% CO2 and non-adherent cells were collected after 30 min. Bone marrow cells were then differentiated into macrophages in DMEM supplemented with 10% endotoxin-free bovine serum, PS, and 40 ng/ml murine GM-CSF (Abcam) for 8 days. Medium was changed every 2 days to remove non-adherent cells.

Canonical and non-canonical inflammasome activation in murine macrophages

After 8 days of culture the medium was replaced by 40 ng/ml GM-CSF containing 100 µmol NAD+ culture medium. For 2 following days NAD+ was added daily until stimulation. To induce canonical and non-canonical inflammasome activation in murine macrophages, NAD+-treated and control BMDMs were cultured overnight in a 24-well plate at 1×106 cells/ml and afterward primed with 1 µg/ml Pam3CSK4 or 1 µg/ml LPS O111:B4 (Sigma) for 5–6 hr. Primed BMDMs were then stimulated for 16 hr with either 5 mmol ATP (canonical inflammasome stimulation) or 2 µg/ml LPS O111:B4 and 20 µg/ml CTB (Sigma) to allow LPS entry (non-canonical inflammasome stimulation) where indicated. To test the effect of NAD+ on type 1 IFN and STAT1 signaling, BMDMs were cultured overnight in a 24-well plate at 1×106 cells/ml and afterward primed with 1 µg/ml Pam3CSK4 or 1 µg/ml LPS O111:B4 (Sigma) for 5–6 hr. Primed BMDMs were then stimulated for 16 hr 2 µg/ml LPS O111:B4, 20 µg/ml CTB, and U/ml recombinant IFN-β.

ELISA

Expression of macrophage-derived murine IL-1β, IL-18, and human IL-1β was analyzed in the cell culture supernatant by commercial ELISA kits (Invitrogen) following the manufacturer’s recommended procedures.

Pyroptosis assay

Pyroptotic cell death was measured by assessing LDH release in the cell culture supernatant of human and murine macrophages using a CytoTox 96 Non-radioactive Cytotoxic Assay (Promega) following the manufacturer’s recommended procedures.

RNA extraction and RNA-sequencing

BMDMs were harvested and differentiated as outlined in the particular section. After 8 days of culture the medium was replaced by 40 ng/ml GM-CSF containing culture medium (control group) or 40 ng/ml GM-CSF containing 100 µmol NAD+ culture medium (NAD+-treated group). For 2 following days NAD+ was added daily. Subsequently, NAD+-treated and control BMDMs were cultured overnight in a 24-well plate at 1×106 cells/ml and afterward primed with 1 µg/ml Pam3CSK4 or 1 µg/ml LPS O111:B4 (Sigma) for 5–6 hr. Primed BMDMs were then stimulated for 16 hr with 2 µg/ml LPS O111:B4 and 20 µg/ml CTB (Sigma) to allow LPS entry. Another set of BMDMs were differentiated without additional treatment serving as naïve controls. Subsequently, RNA was extracted with the RNAqueous extraction kit (Applied Biosystems), according to the manufacturer’s protocols. Briefly, cells were homogenized in lysis buffer (total volume of 0.5 ml) and passed through a column. After successive washes, RNA was eluted. RNA-sequencing was commercially performed by Novogene Co., Ltd. In brief, mRNA was enriched from total RNA using oligo(dT) beads and subsequently fragmented randomly in fragmentation buffer, followed by cDNA synthesis using random hexamers and reverse transcriptase. After first-strand synthesis, a custom second-strand synthesis buffer (Illumina) was added with dNTPs, RNase H, and E. coli polymerase I to generate the second strand by nick-translation. The final cDNA library is ready after a round of purification, terminal repair, A-tailing, ligation of sequencing adapters, size selection, and PCR enrichment.

Isolation and differentiation of human macrophages from PBMCs

Blood was obtained from healthy adult volunteers with the only purpose to isolate PBMCs in order to create a basis for macrophage cultures. Blood withdrawal was performed in accordance with the guidelines of and approved by the Institutional Review Board of the Charité Universitätsmedizin Berlin (EA4/006/22). Informed consent and consent to publish was obtained from each volunteer in accordance with the Declaration of Helsinki. All personal information collected from volunteers were treated with utmost confidentiality. For experiments on human macrophages, PBMCs were isolated by performing a density centrifugation in SepMate tubes (StemCell) using lymphoprep (StemCell) density gradient medium. PBMCs were then plated in DMEM culture medium supplemented with standard antibiotics, 10% FCS, and human 50 ng/ml GM-CSF (PeproTech) at a density of 1×106 cells/ml. The medium was changed every 2–3 days until the cells reached a full confluence.

Non-canonical inflammasome induction in human macrophages

After 8 days of culture the medium was replaced by 50 ng/ml GM-CSF containing 100 µmol NAD+ culture medium. For 2 following days NAD+ was added daily until stimulation. To induce non-canonical inflammasome activation in human macrophages, cells were primed with 1 µg/ml Pam3CSK4 for 5–6 hr. Subsequently, the medium was replaced, and cells were treated with 3 µg/ml LPS O111:B4 and 0.25% (vol/vol) Fugene HD Plus (Promega) to cause transfection. Finally, plates were centrifuged at 805 × g for 2 min and subsequently cultured for 20 hr at 37°C, 5% CO2.

Western blot

For western blot analysis, proteins were extracted using RIPA buffer and the concentrations determined using Pierce BCA Protein Assay Kit. Subsequently, proteins were resolved in SDS-PAGE, transferred to 0.45 μm nitrocellulose membranes (Bio-Rad), blocked with 5% non-fat dry milk in PBS with 0.1% Tween 20, and processed for immunodetection. The following primary antibodies were used according to the manufacturer’s instructions: pro-caspase-1 (#ab179515, Abcam), caspase-1 (#14-9832-82, eBioscience), IL-1β (AF-401-NA, R&D Systems), NLRP3 (#768319, R&D Systems), caspase-11 (#mab8648, R&D Systems), GSDMD (ab209845, Abcam), P-STAT-1 (#9167S, Cell Signaling), STAT-1 (#9172S, Cell Signaling), NF-κB-p65 (#49445S, Cell Signaling), NF-κB-p52 (#4882S, Cell Signaling), β-actin (ab3280, Abcam). Antibody detection was performed with HRP-coupled goat secondary anti-mouse or anti-rabbit antibodies (ImmunoResearch), followed by ECL reaction (Perkin Elmer) and exposure to Fuji X-ray films. Finally, films were scanned, and signals quantified using the web-based image processing software ImageJ (NIH).

Analysis of LPS transfection efficiency

For intracellular detection of LPS, primed BMDMs were stimulated with 20 µg/ml CTB and FITC-conjugated LPS O111:B4 for 16 hr, washed twice with PBS, fixed in 4% PFA containing PBS and DAPI for 10 min, and subsequently analyzed using a confocal microscope and flow cytometry. To determine transfection efficiency using confocal microscopy, FITC-stained pixels per image were quantified using the web-based image processing software ImageJ (NIH).

Caspase-1 assay

To determine the expression of caspase-1, primed BMDMs were stimulated with 20 µg/ml CTB and 2 µg/ml LPS O111:B4 for 4 and 16 hr, respectively, washed twice with PBS, stained using a caspase-1 active staining kit (Abcam) including caspase-1 staining (fluorescent green) and DAPI staining (fluorescent blue) according to the manufacturer’s protocol and analyzed using a confocal microscope.

Endotoxic shock model

8- to 12-week-old C57BL/6 mice were treated with 40 mg NAD+ for 2 following days before intraperitoneal injection of 54 mg/kg LPS O111:B4 or LPS O55:B5. Where indicated mice were administered 6 mg/kg poly(I:C) 6 hr prior to LPS administration. Consequently, survival and body temperature were monitored every 2–4 hr for up to 100 hr. To assess the amount of systemic IL-1β and IL-18 by ELISA (both Invitrogen), mice were euthanized by decapitation 10 and 15 hr after LPS injection serum was isolated from collected blood.

Flow cytometric analysis

To analyze splenic lymphocytes for the intracellular expression of IL-10, mice were challenged with 54 mg/kg LPS O111:B4 for 10 hr and euthanized by cervical dislocation subsequently. Spleens were harvested in a sterile environment and single-cell suspensions were obtained using a 70 µm Nylon cell strainer. Then, 1×106 splenocytes per animal per condition were cultured in RPMI 1640 (#10-040-CV, Corning) supplemented with 10% BenchMark Fetal Bovine Serum (#100-106, Gemini), 1% penicillin/streptomycin (#30-002 CI, Corning), 2 mM L-glutamine (#25-005 CI, Corning), 20 ng/ml phorbol 12-myristate 13-acetate (#P8139-1MG, Sigma-Aldrich), 1 μg/ml ionomycin (#I9657-1MG, Sigma-Aldrich), and 0.67 μl/mL BD GolgiStop (#554724, BD Biosciences) for 4 hr at 37°C and 5% CO2 in 1 ml-volumes in a 12-well plate. After 4 hr, the cells were collected from each 12-well plate well and prepared for flow cytometry by staining the surface epitopes in flow staining buffer consisting of 1× DPBS supplemented with 1.0% (wt/vol) bovine serum albumin (#A2153, Sigma-Aldrich) and 0.020% sodium azide (#S8032, Sigma-Aldrich) for 25 min at 4°C. Then, the cells were fixed and permeabilized with the eBioscience Foxp3 Fixation/Permeabilization concentrate and diluent cocktail (#00-5523-00, Invitrogen) for 30 min at 4°C. Finally, the intracellular cytokine target was stained in 1× permeabilization buffer diluted from 10× eBioscience Foxp3 Permeabilization Buffer (#00-5523-00, Invitrogen) with deionized water. Finally, the stained samples were analyzed on a FACS Canto II (BD Biosciences, San Jose, CA, USA) flow cytometer, and the resultant flow cytometry standard (FCS) files were analyzed with FlowJo version 10 (FlowJo LLC, Ashland, OR, USA).

Bacterial infection model

Frozen stock suspensions of E. coli (Migul) (ATCC, 700928) were obtained from ATCC and cultured in 5 ml Luria-Bertani medium at 37°C. Bacterial concentration was determined by plating 100 µl, 10-fold serial diluted bacterial samples and counting the colony-forming units (CFU) after overnight incubation at 37°C. One day prior to injection 1 ml of culture was reinoculated into 5 ml of medium and incubated for 3–5 hr using a 37°C shaker at 250 rpm agitation. Bacterial cultures were then centrifuged for 10 min at 3000 rpm and washed twice with PBS. Mice were previously treated with NAD+ for 2 serial days and subsequently infected with E. coli by injecting 1 ml of 1×109 CFU/ml bacterial suspension intraperitoneally. The survival was monitored. In another set of experiments mice were sacrificed 5 hr after infection and kidneys and liver were harvested. The collected tissues were homogenized in 1 ml of sterile PBS and 10-fold serial dilutions plated overnight at 37°C on LB agar plates to determine bacterial load per gram.

Acknowledgements

JI was supported by the Berlin Institutes of Health Junior Clinician Scientist Program. YN was supported by the Chinese Scholarship Council (201606370196) and Central South University. HRCB was supported by the Swiss Society of Cardiac Surgery. AV was supported by awards from the National Institute of Mental Health (R01MH110438) and National Institute of Neurological Disorders and Stroke (R01NS100808).

Funding Statement

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Contributor Information

Abdallah Elkhal, Email: Abdala.Elkhal@hmri.org.

Satyajit Rath, Indian Institute of Science Education and Research (IISER), India.

Satyajit Rath, Indian Institute of Science Education and Research (IISER), India.

Funding Information

This paper was supported by the following grants:

  • Berlin Institutes of Health Junior Clinician Scientist Program to Jasper Iske.

  • China Scholarship Council 201606370196 to Yeqi Nian.

  • Central South University to Yeqi Nian.

  • Swiss Society of Cardiac Surgery to Hector Rodriguez Cetina Biefer.

  • National Institute of Mental Health R01MH110438 to Anju Vasudevan.

  • National Institute of Neurological Disorders and Stroke R01NS100808 to Anju Vasudevan.

Additional information

Competing interests

No competing interests declared.

Author contributions

Conceptualization, Data curation, Formal analysis, Validation, Investigation, Visualization, Writing - original draft, Writing – review and editing.

Data curation, Formal analysis, Validation, Investigation, Visualization, Methodology, Writing - original draft.

Data curation, Formal analysis, Validation, Investigation, Visualization, Methodology, Writing - original draft.

Formal analysis, Investigation, Visualization, Writing – review and editing.

Data curation, Formal analysis, Investigation.

Investigation, Writing – review and editing.

Supervision, Investigation, Methodology, Writing – review and editing.

Conceptualization, Resources, Data curation, Software, Formal analysis, Supervision, Validation, Investigation, Visualization, Methodology, Writing - original draft, Project administration, Writing – review and editing.

Ethics

Blood was obtained from healthy adult volunteers with the only purpose to isolate PBMCs in order to create a basis for macrophage cultures. Blood withdrawal was performed in accordance with guidelines of and approved by the Institutional Review Board of the Charité Universitätsmedizin Berlin (EA4/006/22). Informed consent and consent to publish was obtained from each volunteer in accordance with the Declaration of Helsinki. All personal information collected from volunteers were treated with utmost confidentiality.

This study was performed in strict accordance with the recommendations in the Guide for the Care and Use of Laboratory Animals of the National Institutes of Health. All of the animals were handled according to approved institutional animal care and use committee (IACUC) protocols (#2018N000049) of the Brigham and Women's Hospital.

Additional files

MDAR checklist

Data availability

All data generated or analysed during this study are included in the manuscript as source data files for each figure. Data generated from RNA sequencing of BMDMs have been made publicly available in Dryad (https://doi.org/10.5061/dryad.zw3r228fj).

The following dataset was generated:

Iske J, El Fatimy R, Nian Y, Ghouzlani A, Eskandari SK, Cetina Biefer HR, Vasudevan A, Elkhal A. 2024. RNA Sequencing of NAD+ and PBS treated Bone Marrow Derived Macrophages following stimulation of the non-canonical Inflammasome. Dryad Digital Repository.

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eLife assessment

Satyajit Rath 1

In this valuable contribution, the authors demonstrate that the infusion of NAD+ may prevent death and reduce disease severity from lethal experimental bacterial sepsis, possibly through inflammasome inhibition, without reducing bacterial load. They provide solid evidence for these protective effects of NAD+, though the precise mechanisms involved remain unclear and need further support and elucidation. The core findings may well have clinical implications but, in addition to mechanistic clarifications, contextualised interpretation as metabolic adaptation to sepsis would create wider interest.

Joint Public Review:

Anonymous

Iske et al. provide experimental data that NAD+ lessens disease severity in bacterial sepsis without impacting on the host pathogen load. They show that in macrophages, NAD+ prevents Il1b secretion potentially mediated by Caspase11.

While the in vivo and in vitro data is interesting and hints towards a crucial role of NAD+ to promote metabolic adaptation in sepsis, the manuscript has shortcomings and would profit from several changes and additional experiments that support the claims.

Conceptually, the definition of sepsis is outdated. Sepsis is not SIRS, as in sepsis-2. Sepsis-3 defines sepsis as infection-associated organ dysfunction. This concept needs to be taken into account for the introduction and when describing the potential effects of NAD+ in sepsis. Also, LPS application cannot be considered an appropriate sepsis model, since it only recapitulates the consequence of TLR-4 activation. It is a model of endotoxemia. Also, the LPS data does not allow to draw conclusions about bacterial clearance (L135).

The authors state that protective effects by NAD were independent of the host pathogen load. This clearly indicates that NAD confers protection via enhancing a disease tolerance mechanism, potentially via reducing immunopathology. This aspect is not considered by the authors. The authors should incorporate the concept of disease tolerance in their work, cite the relevant literature on the topic and discuss it their findings in light of the published evidence for metabolic alteration sand adaptations in sepsis.

For the in vitro data, the manuscript would benefit from additional experiments using in vitro infection models.

The figure legend should not repeat the methods and materials section. The nomenclature for mouse protein and genes needs to be thoroughly revised.

L350. The authors write that they dissect the capacity of NAD+ to dampen auto- and alloimmunity. In this work, no data that supports this statement is shown and experiments with autoantigens or alloantigens are not performed. If this refers to another previous publication by the same group, it needs to be put into this context and appropriately cited.

L163 The authors describe pyroptosis but in the figure legend call it apoptosis (Fig.2D). Specific markers for each cell death should be measured and determined which cell death mechanisms is involved.

Animal data comes from an infection model and LPS application. The RNAseq data is obtained from cells primed with Pam3CSK4 and subsequently subjected to LPS. It is unclear how the cell culture model reflects the animal model. As such the link between IFN signaling and the bacterial infection/LPS model are not convincing and need to be further elaborated.

Further experiments with primary cells from Il10 k.o. and Caspase11 k.o. animals should be provided that support the findings in macrophages.

eLife. 2024 Feb 19;12:RP88686. doi: 10.7554/eLife.88686.3.sa2

Author Response

Jasper Iske 1, Rachid El Fatimy 2, Yeqi Nian 3, Amina Ghouzlani 4, Siawosh K Eskandari 5, Hector Rordiguez Cetina Biefer 6, Anju Vasudevan 7, Abdallah Elkhal 8

The following is the authors’ response to the original reviews.

Reviewer #1 (Public Review):

The manuscript is very-well written. Although the study is well-conducted the authors should be more convincing on how bacteria residing in tissues do not induce death. The association with IL-10 cytokine production appears weak and more experiments are needed to make it more robust

Reviewer #2 (Public Review):

Iske et al. provide experimental data that NAD+ lessens disease severity in bacterial sepsis without impacting on the host pathogen load. They show that in macrophages, NAD+ prevents Il1b secretion potentially mediated by Caspase11.

While the in vivo and in vitro data is interesting and hints towards a crucial role of NAD+ to promote metabolic adaptation in sepsis, the manuscript has shortcomings and would profit from several changes and additional experiments that support the claims.

Conceptually, the definition of sepsis is outdated. Sepsis is not SIRS, as in sepsis-2. Sepsis-3 defines sepsis as infection-associated organ dysfunction. This concept needs to be taken into account for the introduction and when describing the potential effects of NAD+ in sepsis. Also, LPS application cannot be considered a sepsis model, since it only recapitulates the consequence of TLR-4 activation. It is a model of endotoxemia. Also, the LPS data does not allow to draw conclusions about bacterial clearance (L135).

The authors state that protective effects by NAD were independent of the host pathogen load. This clearly indicates that NAD confers protection via enhancing a disease tolerance mechanism, potentially via reducing immunopathology. This aspect is not considered by the authors. The authors should incorporate the concept of disease tolerance in their work, cite the relevant literature on the topic and discuss it their findings in light of the published evidence for metabolic alteration sand adaptations in sepsis.

For the in vitro data, the manuscript would benefit from additional experiments using in vitro infection models.

In the merge manuscript, the authors provide two different versions of the figures. In one, bar plots are shown without individual data and in the other with scatter blots. All bar plots need to be provided as scatter plots showing individual values.

The authors should show further serology data for kidney and liver failure etc. as well as further cytokine data such as IL-6 and TNF to better characterize their models.

Careful revision of the entire manuscript, the figure legends and figures is required. The figure legend should not repeat the methods and materials section. The nomenclature for mouse protein and genes needs to be thoroughly revised.

L350. The authors write that they dissect the capacity of NAD+ to dampen auto- and alloimmunity. In this work, no data that supports this statement is shown and experiments with autoantigens or alloantigens are not performed.

L163 The authors describe pyroptosis but in the figure legend call it apoptosis. Specific markers for each cell death should be measured and determined which cell death mechanisms is involved.

Animal data comes from an infection model and LPS application. The RNAseq data is obtained from cells primed with Pam3CSK4 and subsequently subjected to LPS. It is unclear how the cell culture model reflects the animal model. As such the link between IFN signaling and the bacterial infection/LPS model are not convincing and need to be further elaborated.

Figure 5: It is unclear how many independent survival experiments were done, how many mice per group were used and whether the difference between groups was statistical significant. This information should be added.

Further experiments with primary cells from Il10 k.o. and Caspase11 k.o. animals should be provided that support the findings in macrophages.

Author Response:

Reviewer #1 (Public Review):

“The manuscript is very-well written. Although the study is well-conducted the authors should be more convincing on how bacteria residing in tissues do not induce death. The association with IL-10 cytokine production appears weak and more experiments are needed to make it more robust.”

Thank you very much for your thoughtful and constructive feedback on our manuscript. We appreciate your positive assessment of the writing quality and the acknowledgment of the wel-lconducted nature of the study.

In regard to the reviewer's comment that "The association with IL-10 cytokine production appears weak," we would like to provide a comprehensive response based on the findings and insights presented in our study (Fig 5). We would like to emphasize several key points to further elucidate this association:

The established knowledge underscores IL-10's capacity to hinder the activation and proliferation of macrophages, thereby safeguarding against an overly aggressive immune-inflammatory reaction (as referenced). In our earlier investigations, we demonstrated that NAD+ orchestrates a systemic generation of IL-10, which assumes a pivotal function in curtailing proinflammatory responses across various conditions, such as autoimmune diseases (as referenced), alloimmunity (as referenced), and bacterial infections (as referenced). In our latest research, we divulge that the introduction of NAD+ leads to an elevated occurrence of IL-10-producing CD4+ T cells, CD8+ T cells, and macrophages, although not dendritic cells (depicted in Figure 5B and C). Furthermore, our comprehensive analyses have substantiated that NAD+ administration thwarts pyroptosis by specifically targeting the non-canonical inflammasome pathway. Intriguingly, our in vitro outcomes suggest that the neutralization of the autocrine IL-10 signaling pathway through a neutralizing antibody and an IL-10 receptor antagonist partially reverses the NAD+-mediated blockage of pyroptosis. These in vitro results imply that NAD+ induces the production of IL-10 cytokines by macrophages, contributing to the suppression of pyroptosis. To corroborate our in vitro conclusions, we employed IL-10 knockout mice and wild-type mice, both treated with either NAD+ or a placebo solution. The wild-type mice treated with NAD+ displayed a survival rate exceeding 80%, whereas the IL-10 knockout mice exhibited a survival rate of "only" 40%. These in vivo findings align with our in vitro discoveries, underscoring the crucial role of NAD+mediated IL-10 cytokine production in impeding pyroptosis through NAD+ and shielding against septic shock. Drawing from our prior and current investigations, we respectfully disagree with the reviewer's characterization of our work as "weak."

Recommendations for the authors

‘’I suggest that animals subject to E. coli infection need to be followed-up for longer and sacrificed at a later time points. It is too difficult to believe that mice are surviving with full resting bacteria in tissues. Do results suggest a full shut-down of the mechanism? What was the level of infiltration of the tissues by neutrophils?’’

‘’I have difficulty to agree with the survival results of the IL-10(-/-) mice of Figure 5E. Can the authors provide the p-values and follow-up for longer? Why the WT and the IL-10(-/-) mice survive the same?’’

Thank you for your thoughtful and constructive comments on our manuscript. We appreciate your valuable insights, and we have carefully considered your suggestions.

We thank the reviewers for this comment. We have indeed followed-up for a longer period of time mice subjected to E. coli infection and LPS (54mg/kg). Mice infected and treated with NAD+ survived for several months and recovered fully after 10 days. Mice survived for at least a year following infection. We have now included a sentence regarding the long-term survival in the results section of Figure 1 entitled “NAD+ protects mice against septic shock not via bacterial clearance but via inflammasome blockade”. Figure illustrating the level of infiltration of the tissues by neutrophils was added in supplementary data as supplementary figure 4.

In contrast, WT and IL-10-/- mice failed to withstand E. coli or LPS (54mg/kg) administration when treated with a placebo solution. To our knowledge, our investigation represents the pioneering instance of successfully conferring protection against the lethal doses of E. coli and LPS administered to animals. Considering the potent immunosuppressive nature of IL-10, our anticipation was that IL-10-/- mice would manifest an exacerbated inflammatory response subsequent to LPS administration, in contrast to WT mice. Our in vivo findings indeed corroborate this assumption, revealing that IL-10-/- mice succumbed more swiftly to LPS administration, displaying statistically significant disparities in survival rates compared to WT mice (p value of 0.0154). The pertinent p-value has been thoughtfully included in Figure 5E of our study.

Reviewer #2 (Public Review):

“Iske et al. provide experimental data that NAD+ lessens disease severity in bacterial sepsis without impacting on the host pathogen load. They show that in macrophages, NAD+ prevents Il1b secretion potentially mediated by Caspase11.

While the in vivo and in vitro data is interesting and hints towards a crucial role of NAD+ to promote metabolic adaptation in sepsis, the manuscript has shortcomings and would profit from several changes and additional experiments that support the claims.

Conceptually, the definition of sepsis is outdated. Sepsis is not SIRS, as in sepsis-2. Sepsis-3 defines sepsis as infection-associated organ dysfunction. This concept needs to be taken into account for the introduction and when describing the potential effects of NAD+ in sepsis. Also, LPS application cannot be considered a sepsis model, since it only recapitulates the consequence of TLR-4 activation. It is a model of endotoxemia. Also, the LPS data does not allow to draw conclusions about bacterial clearance (L135).

The authors state that protective effects by NAD were independent of the host pathogen load. This clearly indicates that NAD confers protection via enhancing a disease tolerance mechanism, potentially via reducing immunopathology. This aspect is not considered by the authors. The authors should incorporate the concept of disease tolerance in their work, cite the relevant literature on the topic and discuss it their findings in light of the published evidence for metabolic alteration sand adaptations in sepsis.

For the in vitro data, the manuscript would benefit from additional experiments using in vitro infection models.

In the merge manuscript, the authors provide two different versions of the figures. In one, bar plots are shown without individual data and in the other with scatter blots. All bar plots need to be provided as scatter plots showing individual values.

The authors should show further serology data for kidney and liver failure etc. as well as further cytokine data such as IL-6 and TNF to better characterize their models.

Careful revision of the entire manuscript, the figure legends and figures is required. The figure legend should not repeat the methods and materials section. The nomenclature for mouse protein and genes needs to be thoroughly revised.

L350. The authors write that they dissect the capacity of NAD+ to dampen auto- and alloimmunity. In this work, no data that supports this statement is shown and experiments with autoantigens or alloantigens are not performed.

L163 The authors describe pyroptosis but in the figure legend call it apoptosis. Specific markers for each cell death should be measured and determined which cell death mechanisms is involved.

Animal data comes from an infection model and LPS application. The RNAseq data is obtained from cells primed with Pam3CSK4 and subsequently subjected to LPS. It is unclear how the cell culture model reflects the animal model. As such the link between IFN signaling and the bacterial infection/LPS model are not convincing and need to be further elaborated.

Figure 5: It is unclear how many independent survival experiments were done, how many mice per group were used and whether the difference between groups was statistical significant. This information should be added.

Further experiments with primary cells from Il10 k.o. and Caspase11 k.o. animals should be provided that support the findings in macrophages.”

Thank you for taking the time to review our manuscript. We appreciate your insightful comments and valuable feedback regarding our study on the role protective role and underlying mechanisms of NAD+ in septic shock.

“While the in vivo and in vitro data is interesting and hints towards a crucial role of NAD+ to promote metabolic adaptation in sepsis, the manuscript has shortcomings and would profit from several changes and additional experiments that support the claims.”

We would like to point out that our current study does not underscore a metabolic adaptation in sepsis but more an immune regulation and a specific blockade of the non-canonical inflammasome signaling machinery.

“Conceptually, the definition of sepsis is outdated. Sepsis is not SIRS, as in sepsis-2. Sepsis-3 defines sepsis as infection-associated organ dysfunction. This concept needs to be taken into account for the introduction and when describing the potential effects of NAD+ in sepsis. Also, LPS application cannot be considered a sepsis model, since it only recapitulates the consequence of TLR-4 activation. It is a model of endotoxemia. Also, the LPS data does not allow to draw conclusions about bacterial clearance (L135).”

Our study uses highly lethal doses of E. coli or LPS. These doses have been shown to result in multiple organ failure (1, 2). For many decades until now an un-numerable number of studies have used LPS as a model of sepsis (3, 4, 5). We have used LPS animal model based on a study published in 2013 by Kayagaki et al. (1), where the authors reported a novel TLR4-independent mechanism but mediated via activate caspase-11. We used the same animal model to demonstrate the specific role of NAD+ in targeting this TLR4-independent mechanism but mediated via activate caspase-11 and underscore NAD+’s mode of protection.

Moreover, we have not only used LPS but bacterial infection as well using E. coli. We have also previously published an additional research article demonstrating the protective effect against Listeria Monocytogenes (6). The only model we currently did not use in our current study, is a cecal ligation puncture (CLP) model which is also another common animal model for sepsis.

Our conclusions regarding bacterial clearance are based not only on LPS results but also based on the bacterial load measurement and survival (Figure 1B&C) following E. coli administration in different tissues (kidney and liver) and not LPS.

“The authors state that protective effects by NAD were independent of the host pathogen load. This clearly indicates that NAD confers protection via enhancing a disease tolerance mechanism, potentially via reducing immunopathology. This aspect is not considered by the authors. The authors should incorporate the concept of disease tolerance in their work, cite the relevant literature on the topic and discuss it their findings in light of the published evidence for metabolic alteration sand adaptations in sepsis.”

We respectfully disagree with the reviewer’s comment and do not believe that NAD+ enhances disease tolerance. We have supporting data indicating that NAD+ mediates protection via a specific blockade of the non-canonical inflammasome pathway, which prevents an over-zealous immune response that results in organ damage and multiple organ failure (MOF). Moreover, we demonstrate that not only NAD+ mediates protection via a specific blockade of the non-canonical inflammasome pathway but prevents septic shock induced death by an additional immunosuppression mediated by the systemic production of IL-10.

Both Caspase-11 and IL-10 pathways are crucial in NAD+ mediated protection against lethal doses of E. coli and LPS administration. Figure 5A indicates that caspase-11-/- mice treated with PBS have a modest survival rate (~40% survival) when compared to the group of mice treated with NAD+ (>80% survival). These data indicate that NAD+ promotes survival via a caspase-11independent mechanism. Similarly, wild type mice subjected to NAD+ administration exhibited >80% survival, while NAD+ administration to IL-10-/- mice resulted only in a 40% survival rate. Based on these findings, we believe that NAD+ mediated protection against septic shock via a blockade of caspase-11 blockade and by IL-10 cytokine production that dampened the overzealous immune response rather than a disease tolerance.

“For the in vitro data, the manuscript would benefit from additional experiments using in vitro infection models.”

In the current study we have used two in vivo models using LPS and E. coli a gram-negative bacterium. We have also previously reported the protective role of NAD+ in the context of Listeria Monocytogenes (6) a gram-positive bacterium. In the current study, our aim was to demonstrate the inhibitory role of NAD+ on the non-canonical pathway specifically. We believe that additional in vitro experiments for this study are out of scope.

“In the merge manuscript, the authors provide two different versions of the figures. In one, bar plots are shown without individual data and in the other with scatter blots. All bar plots need to be provided as scatter plots showing individual values.”

As requested by reviewer #2 all bar plots are now provided as scatter plots showing individual values.

“The authors should show further serology data for kidney and liver failure etc. as well as further cytokine data such as IL-6 and TNF to better characterize their models.”

We did not perform further serology analysis, but we did measure IL-6 and TNFα in mice treated with NAD+ or PBS. Mice treated with NAD+ had a reduced systemic level of both cytokines IL-6 and TNFα. We have now added the figures (Figure 1F). In addition, we performed a long-term survival, and all mice treated with NAD+ recovered fully after 10 days and survived over a year after infection. In addition, the mice that survived following NAD+ treatment died of old age.

“Careful revision of the entire manuscript, the figure legends and figures is required. The figure legend should not repeat the methods and materials section. The nomenclature for mouse protein and genes needs to be thoroughly revised.”

A Careful revision of the entire manuscript has been performed.

“L350. The authors write that they dissect the capacity of NAD+ to dampen auto- and alloimmunity. In this work, no data that supports this statement is shown and experiments with autoantigens or alloantigens are not performed.”

We thank the reviewer for this comment. We have now re-phrased our last sentence in the discussion and included references for our previous work. We have now stated:” We have previously reported that NAD+ administration can block auto- (7) and allo-immunity (8) via IL10 cytokine production. Here, we unveiled the capacity of NAD+ to protect against sepsisinduced death via a specific blockade of the non-canonical inflammasome pathway and a robust immunosuppression mediated by IL-10 cytokine production.

L163 The authors describe pyroptosis but in the figure legend call it apoptosis. Specific markers for each cell death should be measured and determined which cell death mechanisms is involved.

We thank the reviewer for this comment. We have focuses on pyoptosis-mediated cell death and not apoptosis. We have now replaced the term “apoptosis” by “pyroptosis-mediated to cell death”.

“Animal data comes from an infection model and LPS application. The RNAseq data is obtained from cells primed with Pam3CSK4 and subsequently subjected to LPS. It is unclear how the cell culture model reflects the animal model. As such the link between IFN signaling and the bacterial infection/LPS model are not convincing and need to be further elaborated.”

Our findings, depicted in Figure 3, pertain exclusively to in vitro investigations rather than in vivo examinations. Our research has demonstrated the selective inhibition of the non-canonical inflammasome pathway by NAD+, with a primary focus on unraveling the specific signaling pathway influenced by NAD+. Our in vitro outcomes indicate that the introduction of recombinant IFN-β counteracted the inhibitory effect of NAD+ on the non-canonical pathway. However, it's important to note that we have not evaluated the IFN-β pathway within our E. coli and LPS in vivo models. Our primary intention was to exclusively decipher the roles of IFN-β and NAD+ in the context of inhibiting the non-canonical inflammasome, without extending our investigation to the broader in vivo scenarios.

“Figure 5: It is unclear how many independent survival experiments were done, how many mice per group were used and whether the difference between groups was statistical significant. This information should be added.”

We have now included the number of experiments, p values and number of animals used in Figure 5.

“Further experiments with primary cells from Il10 k.o. and Caspase11 k.o. animals should be provided that support the findings in macrophages.”

We concur with the reviewer's suggestion regarding the need for further experiments involving primary cells from IL-10-/- and Caspase-11-/- mice. However, we are uncertain about the potential contribution of these experiments in generating novel or supplementary findings to the existing study.

Recommendations For The Authors:

Besides the comments made in the public section, there are further issues that need to be considered by the authors.

“It is unclear what signifies „impressive, L106" or „dramatic, L257"”

“impressive” meant that we were surprised by the results since to the best of our knowledge prior this study there exists no report/study claiming such survival (>80%) following such high dose of E. coli. In this aspect protective effects of NAD+ are unique.“dramatic” We (8) and others (9, 10) have previously used this term to describe a robust increase of cytokine production.

“L116. The authors describe „symptoms". It should be clarified what symptoms they observed and the data should be shown. If only temperature is available, then this should be said. It would be interesting to see effects of NAD+ on the glucose levels of the animals during sepsis.”

We thank the reviewer’s comment. We have measured only temperature. We believe that glucose level is beyond the scope of this study.

“L29. Sepsis is not restricted to bacterial and viral pathogens. Also fungi and protozoa can cause sepsis.”

We have now included fungi and protozoa.

“Suppl.Fig.1. A scale should be added.”

Scale has been added

“L822. Lethal dose of LPS would mean that this was lethal for all mice. However, the data suggests that NAD+ treated animals would not have died. This should be clarified.”

Here we meant lethal dose in absence of NAD+ treatment. Our study focuses on the protective role of NAD+ in a lethal context (bacterial and LPS).

“L823/824. The part of the sentence: ... IHC was performed staining for H&E.. is incomplete.”

We thank the reviewer’s comment. We have re-phrased our sentence.

“L804. IL-10 is not a pathway. This should be revised.”

We have replaced “pathway” by” mechanism”.

“The graphical abstract should be the last figure summarizing all findings.”

Figure 4 isn't the final illustration, as it doesn't encompass an overarching graphical summary of our discoveries. Instead, it exclusively highlights the findings related to NAD+'s impact on noncanonical inflammasome inhibition. Notably, this figure omits NAD+-mediated IL-10 cytokine generation and its crucial role in mitigating septic shock.

“The authors report that they used a dosage of 54mg/kg LPS (l.502). This is a rather unusual concentration. How was this determined?”

This was initially based on the first study reporting the role of casapase-11 in septic shock induced death published in 2013 by Kayagaki et al. (1). Many other have used this dosage for septic shock induced death animal model (11, 12, 13).

References:

1. Kayagaki N, et al. Noncanonical inflammasome activation by intracellular LPS independ ent of TLR4. Science 341, 1246‐1249 (2013).

2. Qin, X., Jiang, X., Jiang, X. et al. Micheliolide inhibits LPS-induced inflammatory response and protects mice from LPS challenge. Sci Rep 6, 23240 (2016).

3. Li Z, Qu W, Zhang D, Sun Y, Shang D. The antimicrobial peptide chensinin-1b alleviates the inflammatory response by targeting the TLR4/NF-κB signaling pathway and inhibits Pseudomonas aeruginosa infection and LPS-mediated sepsis. Biomed Pharmacother.2023 Aug 1; 165:115227.

4. Ramani V, Madhusoodhanan R, Kosanke S, Awasthi S. A TLR4-interacting SPA4 peptide inhibits LPS-induced lung inflammation. Innate Immun. 2013 Dec;19(6):596610.

5. Zhang Y, Lu Y, Ma L, Cao X, Xiao J, Chen J, Jiao S, Gao Y, Liu C, Duan Z, Li D, He Y, Wei B, Wang H. Activation of vascular endothelial growth factor receptor-3 in macrophages restrains TLR4-NF-κB signaling and protects against endotoxin shock. Immunity. 2014 Apr 17;40(4):501-14.

6. Rodriguez Cetina Biefer H, Heinbokel T, Uehara H, Camacho V, Minami K, Nian Y,Koduru S, El Fatimy R, Ghiran I, Trachtenberg AJ, de la Fuente MA, Azuma H, Akbari O, Tullius SG, Vasudevan A, Elkhal A. Mast cells regulate CD4+ T-cell differentiation in the absence of antigen presentation. J Allergy Clin Immunol. 2018 Dec;142(6):18941908.e7.

7. Tullius SG, Biefer HR, Li S, Trachtenberg AJ, Edtinger K, Quante M, Krenzien F, Uehara H, Yang X, Kissick HT, Kuo WP, Ghiran I, de la Fuente MA, Arredouani MS,Camacho V, Tigges JC, Toxavidis V, El Fatimy R, Smith BD, Vasudevan A, ElKhal A.NAD+ protects against EAE by regulating CD4+ T-cell differentiation. Nat Commun.2014 Oct 7;5:5101.

8. Elkhal A, et al. NAD(+) regulates Treg cell fate and promotes allograft survival via a systemic IL‐10 production that is CD4(+) CD25(+) Foxp3(+) T cells independent. Sci Rep 6, 22325 (2016).

9. Natalia Garcia-Becerra, Marco Ulises Aguila-Estrada, Luis Arturo Palafox-Mariscal,Georgina Hernandez-Flores, Adriana Aguilar-Lemarroy, Luis Felipe Jave-Suarez,FOXP3 Isoforms Expression in Cervical Cancer: Evidence about the Cancer-RelatedProperties of FOXP3Δ2Δ7 in Keratinocytes, Cancers, 15, 2, (347), (2023).

10. Estelle Bettelli, Maryam Dastrange, Mohamed Oukka. Foxp3 interacts with nuclear factor of activated T cells and NF-κB to repress cytokine gene expression and effector functions of T helper cells. Proceedings of the National Academy of Sciences. 2005.102; 14; 5138-5143.

11. Han Gyung Kim, Chaeyoung Lee, Ji Hye Yoon, Ji Hye Kim, Jae Youl Cho,BN82002 alleviated tissue damage of septic mice by reducing inflammatory response through inhibiting AKT2/NF-κB signaling pathway,Biomedicine & Pharmacotherapy,Volume 148,2022,112740.

12. Tao Q, Zhang Z-D, Qin Z, Liu X-W, Li S-H, Bai L-X, Ge W-B, Li J-Y and Yang Y-J (2022) Aspirin eugenol ester alleviates lipopolysaccharide-induced acute lung injury in rats while stabilizing serum metabolites levels. Front. Immunol. 13:939106.

13. Chen, N, Ou, Z, Zhang, W, Zhu, X, Li, P, Gong, J. Cathepsin B regulate non-canonical NLRP3 inflammasome pathway by modulating activation of caspase-11 in Kupffer cells. Cell Prolif. 2018; 51:e12487.

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Data Citations

    1. Iske J, El Fatimy R, Nian Y, Ghouzlani A, Eskandari SK, Cetina Biefer HR, Vasudevan A, Elkhal A. 2024. RNA Sequencing of NAD+ and PBS treated Bone Marrow Derived Macrophages following stimulation of the non-canonical Inflammasome. Dryad Digital Repository. [DOI]

    Supplementary Materials

    Figure 1—source data 1. Raw data for Figure 1B: Bacterial load.
    Figure 1—source data 2. Raw data for Figure 1C: E. coli infection.
    Figure 1—source data 3. Raw data for Figure 1D: Lipopolysaccharide (LPS) infection.
    Figure 1—source data 4. Raw data for Figure 1E: Histology.
    Figure 1—source data 5. Raw data for Figure 1F: ELISA.
    Figure 1—figure supplement 1—source data 1. Raw data for Figure 1—figure supplement 1: Histology.
    Figure 1—figure supplement 2—source data 1. Raw data for Figure 1—figure supplement 2: Neutrophil count.
    Figure 2—source data 1. Raw data for Figure 2A: Original western blots.
    Figure 2—source data 2. Raw data for Figure 2A: Western blots with highlighted bands and sample labels.
    Figure 2—source data 3. Raw data for Figure 2B: ELISA mouse bone marrow-derived macrophages (BMDMs).
    Figure 2—source data 4. Raw data for Figure 2C: Caspase-1 staining.
    Figure 2—source data 5. Raw data for Figure 2D: IncuCyte live microscopy.
    Figure 2—source data 6. Raw data for Figure 2E: Lipopolysaccharide (LPS) transfection staining.
    Figure 2—source data 7. Raw data for Figure 2F: ELISA human macrophages.
    Figure 2—figure supplement 1—source data 1. Raw data for Figure 2—figure supplement 1A: Western blot.
    Figure 2—figure supplement 1—source data 2. Raw data for Figure 2—figure supplement 1A: Western blots bands with highlighted and sample labels.
    Figure 2—figure supplement 1—source data 3. Raw data for Figure 2—figure supplement 1B: Immunofluorescence.
    Figure 2—figure supplement 2—source data 1. Raw data for Figure 2—figure supplement 2: IncuCyte live microscopy.
    Figure 3—source data 1. Raw data for Figure 3E: ELISA bone marrow-derived macrophage (BMDM).
    Figure 3—source data 2. Raw data for Figure 3F: Original western blots.
    Figure 3—source data 3. Raw data for Figure 3F: Western blots with highlighted bands and sample labels.
    Figure 3—source data 4. Raw data for Figure 3G: Original western blots.
    Figure 3—source data 5. Raw data for Figure 3G: Western blots with highlighted bands and sample labels.
    Figure 5—source data 1. Raw data for Figure 5A: Casp11 knockout (KO) survival.
    Figure 5—source data 2. Raw data for Figure 5B: FACS macrophages and DCs.
    Figure 5—source data 3. Raw data for Figure 5C: FACS CD4+ and CD8+ T cells.
    Figure 5—source data 4. Raw data for Figure 5D: ELISA bone marrow-derived macrophage (BMDM).
    Figure 5—source data 5. Raw data for Figure 5E: IL-10-/- survival.
    MDAR checklist

    Data Availability Statement

    All data generated or analysed during this study are included in the manuscript as source data files for each figure. Data generated from RNA sequencing of BMDMs have been made publicly available in Dryad (https://doi.org/10.5061/dryad.zw3r228fj).

    The following dataset was generated:

    Iske J, El Fatimy R, Nian Y, Ghouzlani A, Eskandari SK, Cetina Biefer HR, Vasudevan A, Elkhal A. 2024. RNA Sequencing of NAD+ and PBS treated Bone Marrow Derived Macrophages following stimulation of the non-canonical Inflammasome. Dryad Digital Repository.


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