Skip to main content
Frontiers in Pharmacology logoLink to Frontiers in Pharmacology
. 2026 Jan 12;16:1601481. doi: 10.3389/fphar.2025.1601481

Targeting CD73 and correcting adenosinergic signaling in critically ill patients

Justin Mark Lunderberg 1,*,, Alexander James Spicer 2,, Jessica Cassavaugh 1, Juho Jalkanen 2, György Haskó 3, Simon C Robson 1,*
PMCID: PMC12832292  PMID: 41601962

Abstract

The concept of the intensive care unit (ICU) was developed around 70 years ago, and this has become essential for caring for a hospital’s sickest patients. A commonality for many patients’ critical illness is the systemic inflammatory state with multiple-organ injury precipitated by infectious causes and/or other pathophysiologic insults. Therapeutic modalities to address these complications remain unclear, and there are no FDA-approved drugs to treat these often-devastating clinical situations. Clinical deterioration may be associated with the release of “damage-associated molecular patterns” (DAMPs), such as extracellular adenosine triphosphate (eATP), from stressed and dying cells. Pharmacological dosing or boosting of CD73, an ectoenzyme that can convert pro-inflammatory adenosine monophosphate (AMP) to anti-inflammatory adenosine, in this setting of critical illness has been shown to have a survival benefit with decreased time in the hospital and ICU. Whether there are clinical benefits of extracellular nucleotide (eATP) scavenging over adenosine generation within the setting of inflammatory diseases remains unclear. Upcoming pre-clinical developments testing soluble forms of CD39 to hydrolyze eATP to AMP in sepsis and following cardiac surgery should clarify this question. We conclude by suggesting that exogenous CD39, CD73, and/or other ectonucleotidases may provide therapeutic benefits in critically ill patients.

Keywords: adenosine, ATP, CD39, CD73, ischemia and reperfusion, purinergic, sepsis

Graphical Abstract

Diagram illustrating the role of CD73 in critical illness. This shows a critically ill patient with an associated systemic inflammatory response in which organ injury leads to extracellular ATP release and inflammatory injury. CD73 is associated with extracellular nucleotide metabolism, impacting systemic inflammation and adenosine generation. CD73 manipulation may potentially lead to survival benefits in critically ill patients.

Introduction

The ideas underpinning critical care were initially adopted during the 1952–1953 Copenhagen polio epidemic, where medical practitioners found that the assisted ventilation of polio patients decreased their mortality rate by half (Lassen, 1953). While unique life-saving supportive care can be provided within an intensive care unit (ICU), prior observation and the recent coronavirus disease 2019 (COVID-19) pandemic have highlighted suboptimal quality-adjusted life outcomes following hospitalization (Cuthbertson et al., 2010; Halvorsen et al., 2023). A table of abbreviations is presented in Table 1. Recent advances in vaccine technology provided useful tools to blunt the COVID-19 public health crisis and pandemic; however, similar advances in innovative therapeutics for critically ill patients to alleviate morbidity and mortality have not been realized. In part, this may be due to the inherent challenges of the ICU having heterogeneous patient populations being subject to syndromic-type illness arising from multiple disease states (Santacruz et al., 2019).

TABLE 1.

Abbreviations and expanded definitions used within this work.

Abbreviation/Acronym Expanded definition
ACDC Arterial calcification due to deficiency in CD73
ADA Adenosine deaminase
ADP Adenosine diphosphate
AKI Acute kidney injury
AMP Adenosine monophosphate
AP Alkaline phosphatase
ARDS Acute respiratory distress syndrome
ATP Adenosine triphosphate
cAMP Cyclic adenosine monophosphate
CD39 Ectonucleoside triphosphate diphosphohydrolase-1
CD73 Ecto-5′-nucleotidase
COPD Chronic obstructive pulmonary disease
COVID-19 Coronavirus disease 2019
CRP C-reactive protein
DAMP Damage-associated molecular pattern
eATP Extracellular adenosine triphosphate
eAMP Extracellular adenosine monophosphate
HMG-CoA 3-hydroxy-3-methylglutaryl-coenzyme A
HIF Hypoxia-inducible transcription factor
HRE HIF-response element
ICAM-1 Intercellular adhesion molecule-1
ICU Intensive care unit
IFN Interferon
KO Knockout
LDL Low-density lipoprotein
MS Multiple sclerosis
NSCLC Non-small cell lung cancer
NAD Nicotinamide adenine dinucleotide
NFAT Nuclear Factor of Activated T-cell
PD-1 Programmed cell death protein 1
SLE Systemic lupus erythematosus
SOFA Sequential organ failure assessment
VACM-1 Vascular cell adhesion molecule-1

In this review, we propose that modulating fundamental immune signalling pathways and ameliorating deleterious inflammatory responses may help patients recover from critical illness and offer protection from end-organ injury. The manuscript will review preclinical and clinical evidence for indirectly and directly targeting membrane ectonucleotidases, specifically ecto-5′-nucleotidase (CD73), and we integrate the discussion to include a model for future investigation of adenosine triphosphate- (ATP)-metabolite modulation followed by glucocorticoid administration within infectious inflammatory injury states.

Methodologically, clinicaltrials.gov and EudraCT were searched for the terms CD39, CD73, and adenosine in association with registered trials and Pubmed was queried for studies performed between 1990 and 2024 with the terms CD73, CD39, critical care, sepsis, and ARDS.

Broadly, purines, or the class of molecules that contain the product of the fusion of a pyrimidine and imidazole ring, are the most widely occurring nitrogen-containing naturally occurring heterocycles. Members of this class are used as an energy currency through the serial phosphorylation of adenosine-to-adenosine triphosphate, with these same molecules also being used in extracellular signalling pathways (Linden et al., 2019; Burnstock, 2020; Eltzschig et al., 2013). Identifying effects of the purinome, encompassing synthesis and metabolism of purines, modulation of receptors, and downstream signalling pathways, are all important to achieve a greater understanding of human health and disease (Idzko et al., 2014; Huang et al., 2021; Eltzschig et al., 2013).

Herein, we describe the specific effects of pharmacologic modulation of CD73, a cell-surface enzyme that metabolizes adenosine monophosphate (AMP) to adenosine and was originally identified as an organ-protective endothelial molecule in states of hypoxia and inflammation (Thompson et al., 2004; Eltzschig et al., 2013; Eltzschig, 2013; Le et al., 2019). The extracellular AMP (eAMP) moity is typically formed by the action of ectonucleoside triphosphate diphosphohydrolase-1 (CD39), serially catalysing the hydrolysis of extracellular ATP (eATP) to eAMP (Allard et al., 2017). We further describe recent work inducing CD73 expression through interferon beta-1a administration that has indicated protective effects in patients presenting for emergent surgery for a ruptured abdominal aortic aneurysm and other recent trials in the field (Hakovirta et al., 2022). Such upregulation of CD73 activity or eventual use of soluble forms of CD73 may help address endothelial vasculature dysfunction, a common pathology for the largely heterogeneous critically ill patient population (Vincent et al., 2021; Cribbs et al., 2008).

It should also be noted that gene mutations in CD73 and a lack of the associated AMPase function have been associated with the clinical development of severe calcification in the large arteries of adults (St Hilaire et al., 2011). This inherited disorder, arterial calcification due to CD73 deficiency (ACDC) indicates protective functions of CD73 in the vasculature over the long term. Additional clinical benefits of extracellular eATP scavenging vs. increased adenosine generation within the setting of inflammatory diseases remain unclear. Pre-clinical developments testing soluble forms of CD39 to boost hydrolysis of eATP to AMP may clarify future use of therapies targeting purinergic responses in the ICU, as with sepsis and complications following cardiac surgery.

Critical illness and inflammatory purinergic signaling

Modulation of purinergic signaling pathways may be a tool to address the damaging effects of systemic inflammation in critical illness. Systemic inflammation and multi-organ failure can be precipitated by multiple infectious and non-infectious disease states (Cauwels et al., 2014). Changes in care, including ventilatory strategies within acute respiratory distress syndrome (ARDS), bundled actions decreasing central-line infections, and goal-directed responses to sepsis, have been associated with improved outcomes for patients; yet, there have not been similar improvements seen in critically ill patients undergoing trials of corticosteroids, aspirin, statins, growth factors, activated protein C, stem cells, as well as vitamins C and D (Matthay et al., 2017; François et al., 2016; Vincent and Creteur, 2015). The unsuccessful trials and the broad range of etiologies precipitating systemic inflammation have led to the concern that a unifying disease-modifying factor is not present.

In systemic inflammation associated with multi-organ failure, a common feature independent of the causative insult includes an increase in vascular permeability followed by fluid and leukocyte extravasation (Duan et al., 2017; Vincent et al., 2021). This process is associated with stressed and dying cells releasing ATP, a putative damage associated molecular pattern (DAMP), into circulation as eATP, where it acts as a key pro-inflammatory mediator (Gordon, 1986; Cauwels et al., 2014). Subsequently, eATP signaling causes downstream systemic induction of cytokines associated with mitochondrial damage and the initiation of apoptotic cell death pathways (Cauwels et al., 2014). An illustration of this signaling pathway highlighting the activity of CD39 and CD73 is provided in Figure 1. The ability to metabolize circulating eATP into anti-inflammatory adenosine is a key adaptation in withstanding inflammatory insults (Salmi and Jalkanen, 2005; Eltzschig and Carmeliet, 2011).

FIGURE 1.

Diagram illustrating the proinflammatory signaling cycle associated with cellular ATP release. Extracellular ATP is converted to ADP and AMP via CD39 and then into adenosine via CD73. Adenosine generation and cellular signaling can lead to decreased acute inflammation.

CD39 and CD73 control pro-inflammatory eATP signaling and promote adenosine-associated anti-inflammatory effects and barrier integrity. On the upper left of the graphic, inflammatory programmed cell death pathways lead to the release of extracellular ATP (eATP). Downstream signaling causes the release of pro-inflammatory cytokines, causing impairment of barrier integrity and is associated with further apoptosis and necrosis. This cycle is modulated by CD39-catabolized degradation of eATP to ADP and then AMP and CD73-dependent formation of adenosine from AMP (right side of figure). Adenosine signaling decreases inflammatory signaling and maintains barrier integrity.

The canonical enzyme cascade creating eAMP involves CD39, as identified here (Kaczmarek et al., 1996). However, ENPP1, also known as CD203a, can generate eAMP from the metabolism of nicotinamide adenine dinucleotide (NAD) and adenosine diphosphate- (ADP)-ribose with the associated links to CD73 (Stagg et al., 2023).

CD73: a link between pro-inflammatory eATP and anti-inflammatory adenosine signaling

We note the pro-inflammatory signaling cascaded precipitated by eATP and yet a degradation product of this molecule, adenosine, is involved in anti-inflammatory signaling. This product can be formed by the sequential action of CD39 catalyzing the degradation of eATP to AMP and then CD73 catalyzing phosphate removal from AMP to form adenosine. CD73 is expressed on a wide range of cell types, including hemopoietic lineages and endothelial cells, as well as subsets of epithelial cells, where it is anchored to the cell surface (Zhong et al., 2021). Within vascular endothelial and epithelial layers, CD73 preserves barrier function as a function of anti-inflammatory adenosine production (Figure 1) (Yegutkin, 2008; Synnestvedt et al., 2002; Antonioli et al., 2013). Adenosine inhibits the function of E-selectin, vascular cell adhesion molecule 1 (VCAM-1), and intercellular adhesion molecule-1 (ICAM-1), as well as the expression of integrins and the release of some cytokines, resulting in decreased neutrophil adhesion to vascular endothelial cells and subsequent extravasation into tissue (Grünewald and Ridley, 2010). Furthermore, adenosine induces arterial dilatation, increasing tissue perfusion, which can counteract localized ischemia (Sotnikov and Louis, 2010).

Adenosine has four cognate G-protein-coupled receptors: A1, A2A, A2B, and A3. Signaling initiated by the A1 and A3 receptors inhibits cyclic adenosine monophosphate (cAMP) accumulation, whereas A2A and A2B receptor signaling induces cAMP accumulation. An understanding of the anti-inflammatory effects of adenosine A2A receptor-mediated anti-inflammatory mechanisms is predicated on pioneering work by Sitkovsky and colleagues (Ohta et al., 2006; Ohta and Sitkovsky, 2001). Immune cell expression and downstream consequences of adenosine receptor activation all appear to be cell-type specific (Zhang et al., 2022). Receptor affinities towards adenosine vary, with A1 and A2A exhibiting greater affinity; notably, the affinity of A2B towards adenosine is much lower, and A3 is species-dependent (Cronstein and Sitkovsky, 2017).

Five to fifteen percent of blood lymphocytes express CD73. Notably, CD73 is present in regulatory T cells, which are a cell population involved in the resolution of cell injury and the dampening of an immune response (Kobie et al., 2006; Deaglio et al., 2007; Ehrentraut et al., 2013; Borg et al., 2017). In addition, CD19-positive B cells also express CD73 (Saze et al., 2013). The immunosuppressive function of the regulatory T cells and B cells is mediated by the CD73-derived adenosine, as it directly inhibits the proliferation and activation of effector T cells (Kepp et al., 2017). Adenosine also affects the polarization of macrophages (Li and Okusa, 2010; Kayagaki et al., 2011). Adenosine, particularly through A2A receptor signaling, drives the polarization of macrophages to an M2 immunosuppressive phenotype, which has been proposed to play a role in attenuating inflammation (Chávez-Galán et al., 2015; Csóka et al., 2012; Koscsó et al., 2013).

This A2A receptor-mediated signaling has also been implicated in anti-inflammatory effects, including the inhibition of neutrophil adhesion and neutrophil degranulation (Barletta et al., 2012). In contrast, proinflammatory eATP induces a macrophage M1 phenotype, which is associated with clearing invading organisms, even to the point of self-injury (Ley, 2017). M1 macrophages further promote their polarization in a feed-forward loop through the induction of a Th1 T cell response, enhancing M1 polarization with IFN-γ (Green et al., 2013; Unsinger et al., 2010). Cell-specific differences in the adenosine receptor expression profiles and downstream adenosine signaling can lead to difficulty in precisely predicting the effects of adenosine modulation at the organ level.

Transporter and degradation machinery impact on extracellular adenosine flux

In addition to adenosine signaling through extracellular receptor interactions, this nucleoside can also be transported across the cell membrane through nucleoside transporters. Although the immunologic effects of adenosine receptor stimulation have been well studied, the impact of adenosine transporters on intracellular responses has remained somewhat unexplored. Previous studies have shown that cellular adenosine uptake occurs via ENT1 and modulates intracellular metabolism in both T cells and cancer cells (Apasov and Sitkovsky, 1999; Spychala, 2000; Losenkova et al., 2020). The impact of drugs that inhibit adenosine uptake, primarily by ENT1 blockade, appears to be immunostimulatory, with recent studies revealing increased T cell responses in the setting of ENT1 deficiency or blockade (Allard et al., 2025). Hence, the targeting of ENT1 via pharmacological blockade results in the accumulation of extracellular adenosine, resulting in potential signaling events via activation of the A2A receptor as well as modulation of intracellular nucleotide metabolism and bioenergetics. Pharmacologic manipulation of adenosine uptake can be performed by the drug dipyridamole, though it has multi-functional effects with the breakdown of cAMP as well as the inhibition of adenosine uptake by ENT1. Research has further shown that dipyridamole inhibits the Nuclear Factor of Activated T-cell (NFAT) interactions without affecting overall calcineurin phosphatase activity to negatively impact T-cell activation and proliferation in systemic lupus erythematosus (SLE) (Kyttaris et al., 2011).

Several studies have explored the inhibitory effects of dipyridamole on T-lymphocyte proliferation and suggest the overall effect is one of weak immunosuppression. Massaia et al. have previously demonstrated that dipyridamole suppresses the generation of alloreactive cytotoxic T lymphocytes in a dose-dependent manner indicating that dipyridamole prevents the initial activation step of the lytic program in T-cells following allogeneic or interleukin-2 stimulation (Massaia et al., 1991). Of note, such opposing mechanisms of this drug on adenosine-mediated immunosuppression vs. potential for cellular activation are not mutually exclusive, as these may be selectively present in various T cell subtypes. Indeed, both may be concurrently operational in regulating and fine-tuning T cell responses.

Adenosine deaminase (ADA) functions to degrade adenosine and 2′-deoxyadenosine to inosine and 2′-deoxyinosine respectively (Whitmore and Gaspar, 2016). There are two ADA enzymes, ADA1 and ADA2, with ADA1 genetic deficiency being the most common cause of severe combined immunodeficiency (SCID) due to buildup of purine metabolites primarily impacting lymphatic cells and ADA2 deficiency precipitating a complex phenotype of inflammation and immunodeficiency (Ehlers and Meyts, 2025; Sauer et al., 2012). ADA2 deficiency was more recently classified in 2014, with the complex phenotype including early onset stroke, vasculitis, and immunodeficiency (Lee et al., 2023). ADA2 is preferentially expressed in immune cells and is released into the extracellular space where there can be significant increases in activity within inflammatory disease, including tuberculosis and SLE [reviewed in, (Ehlers and Meyts, 2025),]. ADA2 deficiency would presumably lead towards an immunosuppressive state given increases in extracellular adenosine yet the opposite phenotype is observed, providing an opportunity for further research into the enzymes effect on localized purinergic flux. ADA inhibition can be achieved through the use of the drug pentostatin, a purine analogue, and is clinically impactful in the extreme sense of treating hairy cell leukemia where the drug is particularly toxic to lymphocytes (Johnston, 2011). We suggest there may be deleterious and possible off-target manifestations following the pharmacologic manipulation of global ADA activity (ADA1 and ADA2) in critically ill patients. This consideration is based on the observed role of ADA2 in interferon release, as modulated by TLR9 responses to DNA, and also the development of clinically severe vasculitis observed following ADA2 mutations (Dong et al., 2024; Moens et al., 2019).We do note that low-dose deoxycoformycin, i.e., pentostatin, a transition state analogue drug blocking both ADA1 and ADA2, has been administered in mouse experimental models of atherosclerosis with an observable benefit on plaque evolution; at this dosing it did not have systemic toxicity with 90% inhibition of ecto-ADA activity (Kutryb-Zajac et al., 2016). Therefore, targeted pharmacologic ADA inhibition within states of inflammation may be feasible in the future once further work has been done on the structure-function relationships of ADA1 and ADA2, which has resulted in the development of new, more specific, and safer drug candidates.

Clinical developments: CD73 inhibition as an oncologic and COVID-19 drug target

Typically outside of the ICU, CD73 has emerged as an attractive oncologic therapeutic target because the enzyme affects the tumor microenvironment, with tumor CD73 upregulation establishing an anti-inflammatory milieu through the generation of adenosine, promoting tumor growth under hypoxic conditions (Harvey et al., 2020; Roh et al., 2020). While not upregulated on all tumors, oncologic lineages with increased CD73 expression have a degree of protection against eATP, proinflammatory cytokines, and tumor-killing immune cells; this, in turn, conveys a worse prognosis for the patient with some forms of cancer (Roh et al., 2020). CD73 blockade via a monoclonal antibody or a small molecule inhibitor treatment may enhance the effectiveness of current immunotherapies (Ghalamfarsa et al., 2019).

Currently, the CD73 antibody inhibitor furthest along in clinical development is Oleclumab, which is currently in a phase III trial (PACIFIC-9, NCT05221840) in combination with durvalumab, a programmed cell death protein 1 (PD-1) inhibitor, for non-small cell lung cancer (NSCLC) (Barlesi et al., 2024). Trial work commenced following encouraging data from the COAST trial in NSCLC (COAST, NCT03822351) (Herbst et al., 2022).

The potential for an anti-CD73 monoclonal antibody to benefit patients with COVID-19 infection was assessed during the pandemic. Mupadolimab (CPI-006, CORVUS Pharmaceuticals), a humanized monoclonal antibody directed against CD73, has a proposed dual mechanism of activating B cells and inhibiting the production of adenosine (Miller et al., 2022). Downstream signaling following antibody-mediated engagement has been described, but there has not been a natural ligand for this signaling identified to this point (Da et al., 2022). Regardless, Mupadolimab was investigated in the context of hospitalized patients with mild or moderate COVID-19 disease, i.e., with SpO2≥94% without the addition of supplemental oxygen, and antibody administration was notable for potentially inducing an enhanced adaptive antiviral response (NCT04464395) (America, 2021). A phase 3 follow-up trial was discontinued with 40 patients recruited due to the decreasing incidence of COVID-19 (NCT04734873) (Miller et al., 2021).

Pre-clinical developments: adenosine signaling manipulation as a target in systemic inflammation

In contrast to the primarily oncologic drug development focused on CD73 inhibition, CD73 induction or the theoretical possibility of supplementation may be beneficial within states of systemic inflammation through improving the maintenance of vascular integrity and providing protection against multi-organ failure (Roh et al., 2020; Cauwels et al., 2014). Over the past 2 decades, a large body of literature revealed extracellular nucleotide metabolism [reviewed in (Gordon, 1986; Dale and Frenguelli, 2009; Dale, 2021)] is a key mechanism in the prevention of induced vascular leakage in mouse models (Eckle et al., 2007b; Grenz et al., 2007; Kiss et al., 2007; Cai et al., 2013).

Therapeutics for inflammatory disorders involving wound healing, ischemia, and arthritis have been successfully developed by targeting the purinergic signaling pathways via ATP receptor antagonists (Haskó et al., 2008). Moreover, adenosinergic modulation has further potential for organ protection in hypoxia (Haskó et al., 2011).

There is a tightly connected interplay between hypoxia and inflammation. Mammals have an adaptive response to hypoxia that includes oxygen-sensing prolyl hydroxylases modifying hypoxia-inducible transcription factor (HIF) (Epstein et al., 2001). This subsequently activates, among others, the transcription of a range of purinergic metabolizing and receptor genes via the HIF-response element (HRE) in their promoter (Figure 2A) (Figarella et al., 2024; Eltzschig and Carmeliet, 2011; Lee et al., 2019). The CD73 gene promoter also contains a cAMP response element, through which CD73-derived adenosine triggers the expression of CD73 in the positive feedback loop (Figure 2C) (Narravula et al., 2000; Hansen et al., 1995).

FIGURE 2.

Diagram illustrating CD73 regulation and function. Panel A: CD73 expression increases under hypoxic conditions via HIF signaling. Panel B: CD73 expression on endothelial but not lymphocyte cells is directly modulated by IFN-β. Panel C: CD73 converts extracellular AMP to adenosine, activating signaling pathways, involving cAMP and protein kinase A, then influencing CD73 expression through CREB phosphorylation.

Modes of CD73 induction. (A) CD73 is induced under hypoxic conditions, at least in part through the HIF pathway. Under normoxic conditions, (left), HIF1α is ubiquinated and rapidly degraded. Under hypoxic conditions, (right), HIF1α is not degraded, associates with HIF1β, and translocates to the nucleus. Here, it enhances the gene expression of CD73, among many proteins, through a hypoxia response element (HRE). (B) Interferon β induces the production of CD73 in endothelial cells but not lymphocytes. (C) CD73 expression is induced in an autocrine manner with CD73-derived adenosine signaling through adenosine receptors (A2A and A2B), causing an increase in cyclic AMP with subsequent signaling culminating in increased CD73 expression.

While many cell types express CD73, expression is differentially regulated and cell-type specific. Type 1 interferons (IFNs), IFN-alpha and IFN-beta upregulate the expression and enzymatic activity of CD73 on the vascular endothelium without influencing lymphocytic expression of CD73 (Figure 2B) (Niemela et al., 2004). In a mouse CD73 −/− model, a lack of CD73 activity correlates with decreased expression of type 1 IFN and greater pathologic severity in models of experimental colitis; it is unclear whether this change is caused by decreased adenosine production or the accumulation of precursor substrates (Sotnikov and Louis, 2010). Regardless, the administration of type 1 IFNs, including IFN-alpha in urothelial carcinoma and IFN-beta in multiple sclerosis (MS), is associated with increased vascular CD73 expression without a change in CD73 expression on lymphocytes or carcinoma cells (Airas et al., 2007; Niemela et al., 2008; Chambers and Matosevic, 2019; Niemela et al., 2004). Therefore, type I IFN administration may offer benefits by potentiating vascular CD73 expression in settings of intravascular inflammation or hypoxic insults.

Pre-clinical developments: experimental models in support of CD73-based therapy within inflammatory states

The role of CD73 within adenosinergic signaling has been explored using knockout (KO) mice in multiple disease models (Zernecke et al., 2006; Tsukamoto et al., 2012; Haskó et al., 2011; Chrobak et al., 2015; Kiss et al., 2007; Grenz et al., 2007). CD73 null mice are minimally impacted by their genetic mutation at baseline, yet exhibit greater symptom severity in disease models for acute lung injury and sepsis, presumably due to increased vascular leakage and the lack of immunosuppression (Kiss et al., 2007; Ehrentraut et al., 2013; Haskó et al., 2011). Type 1 IFNs upregulate CD73 expression, and while IFN-beta has multiple downstream targets, induction of CD73 upregulation by IFN-beta has a positive impact in a murine model of acute lung injury, an effect dependent on mouse CD73 expression (Kiss et al., 2007). Further, acute lipopolysaccharide-induced lung injury, organ injury associated with hemorrhagic shock, and mechanical-ventilation-induced acute lung injury are ameliorated in mouse models by soluble CD73 administration (Eckle et al., 2007a; Ehrentraut et al., 2013; Kelestemur et al., 2023). Correlating with cellular and clinical data, adenosine production can be detrimental in murine cancer models (Zhang, 2012) with multiple cancer cell lines, including B16 melanoma, MC38 colon cancer, EG7 lymphoma, and AT-3 mammary tumors, growing more slowly in CD73 KO mice compared to wild-type mice (Yegutkin et al., 2011; Stagg et al., 2011).

Clinical developments: CD73 expression as a prognostic tool in inflammatory disease

CD73 is upregulated in inflammatory and ischemic conditions as a protective response, and the quantification of changes in its expression and activity may have utility as a prognostic tool. The quantity of soluble CD73 and associated enzymatic activity can be measured in blood and tissue samples. Early studies, defined below, focused on patients with acute pancreatitis, post-operative cardiac surgery, and multiple sclerosis, all potentially severe sterile inflammatory states, as well as more recently in COVID-19 disease (Maksimow et al., 2014; Persson et al., 2018; Niemela et al., 2008; Rud et al., 2023).

ptIn a population of 161 patients with acute pancreatitis on hospital admission, soluble CD73 concentration, CD73 enzymatic activity, and leukocyte CD73 mRNA were inversely correlated with disease severity (Maksimow et al., 2014). Furthermore, low soluble CD73 activity at admission was a more accurate predictor than C-reactive protein (CRP) or creatinine change for the development of severe pancreatitis. Serial measurements of 85 infants who underwent major cardiovascular surgery in their first 120 days of life showed increased levels of postoperative serum CD73. There was also an inverse correlation between the CD73 levels at the time of rewarming during cardiopulmonary bypass and the consequent ionotropic support requirements (Persson et al., 2018). Thus far, the evidence does not support the extension of this predictive factor to infection-associated inflammatory states, as within a population with severe sepsis or septic shock, no associations were identified between soluble CD73 levels and the development of acute kidney injury (AKI) or 90-day mortality (Vaara et al., 2016).

Extending to the active induction of CD73 expression, within a small study analyzing IFN-beta’s effect on newly diagnosed MS patients, 10 out of 11 patients showed increases in their levels of soluble CD73, which was also associated with a decrease in MS relapse rate (Niemela et al., 2008). These studies in sterile inflammatory states reveal that quantifying soluble CD73 may have prognostic value in identifying individuals who are not responding appropriately to infectious inflammatory states.

Decreased circulating CD73 portends worse outcomes in COVID-19. Within a 28-patient subset of patients with mild to severe COVID-19 infection, the degree of reduction in CD73 expression directly correlated with negative outcomes, including ICU admission, need for mechanical ventilation, and hospital length of stay (Rud et al., 2023). Further changes in adenosine signaling pathways beyond CD73 expression may impact the response to COVID-19, including immunologic dysfunction and an impaired T-cell response. One of us (SCR) found within severe COVID-19 disease an elevation in T-cell CD39 expression, a marker of immune exhaustion (Wang et al., 2021). These initial attempts at using CD73 as a prognostic tool are limited by the impact of timing and location of adenosine signaling in response to a pathologic insult.

Clinical developments in modulating extracellular adenosine production within inflammatory states: alkaline phosphatase

Clinical therapeutic purinergic development has included exogenous alkaline phosphatase (AP) supplementation by AM-Pharma BV (Utrecht, Netherlands), IV IFN-beta by Faron Pharmaceuticals Ltd. (Turku, Finland), inhaled IFN-beta by Synairgen Ltd. (Southampton, United Kingdom), and soluble CD39 by Novartis AG (Basel, Switzerland). Subcutaneous IFN-beta (Rebif, Merck KGaA, Darmstadt, Germany) was investigated in COVID-19 pandemic trials (ACTT-3 and SOLIDARITY) (Beigel et al., 2020; Kalil et al., 2021; Consortium, 2022). A curated list of registered clinical trials discussed here is summarized in Table 2.

TABLE 2.

Curated list of registered clinical trials focused on CD73 or AMP degradation mentioned within text.

Drug mechanism Trial Major findings/Trial description References (if available)
CD73 inhibition for oncologic endpoint or COVID-19 treatment NCT03822351; COAST; NCT05221840; PACIFIC-9 Oleclumab (anti-CD73 mAb) enhanced progression free survival in combination with durvalumab in patients with unresectable stage III non-small-cell lung cancer. PACIFIC-9 continues as subsequently active Phase III trial Herbst et al. (2022), Barlesi et al. (2024)
NCT04464395 Potential enhanced adaptive antiviral response of Mupadolimab in mild-moderate COVID-19
NCT04734873 Mupadolimab in mild or moderate COVID-19 disease, stopped recruiting due to decreasing incidence of COVID-19 Miller et al. (2021)
Interferon-Beta administration for CD73 induction NCT00789685 IFN-beta increases CD73 expression and reduces 28-day mortality in ARDS Bellingan et al. (2014)
NCT02622724; INTEREST IFN-beta in moderate and severe ARDS did not identify difference in 28d composite endpoint (including mortality and number of ventilator free days) Ranieri et al. (2020)
NCT03119701; INFORAAA Patients with high level of serum CD73 associated with survival (P = 0.001) whereas the use of glucocorticoids and the presence of IFN beta-1a neutralizing antibodies associated with a poor CD73 response and survival Hakovirta et al. (2022)
NCT04315948; SOLIDARITY Interferon administration within COVID-19 discontinued for futility Consortium (2022)
NCT04385095 Phase II trial with inhaled IFN beta-1a increasing potential recovery from COVID-19 Monk et al. (2021)
NCT04732949; SPRINTER Inhaled IFN-beta within phase III for covid-19 with no changes in recovery time and time to hospital discharge Monk et al. (2023)
NCT04492475; ACTT-3 Interferon beta-1a plus remdesivir was not superior to remdesivir alone in hospitalized patients with COVID-19 pneumonia Kalil et al. (2021)
Alkaline phosphatase- or CD39-induced eATP hydrolysis APPIRED II Phase II study of bovine AP in cardiac surgery population; without TNF-alpha lowering activity identified Keizer et al. (2021)
NCT02182440 Alkaline phosphatase treatment did not improve renal function in patients with sepsis-associated AKI Pickkers et al. (2018)
NCT04411472; REVIVAL Phase III study of AP supplementation for sepsis and COVID-19 associated AKI; halted for pre-specified futility measures Pickkers et al. (2024)
NCT05524051 Recombinant soluble CD39 in ongoing trial for AKI associated with major cardiac surgery
NCT05996835 Recombinant soluble CD39 in ongoing trial for AKI associated with sepsis
Statin-supplementation within ARDS HARP-2 Simvastatin did not improve clinical outcomes in population with ARDS, post hoc analysis with benefit in hyperinflammatory ARDS. Calfee et al. (2018), McAuley et al. (2014)

Supplementation with AP, an enzyme that hydrolyses the phosphoanhydride bonds attaching phosphate moieties in eATP, showed early promising results in preventing AKI associated with sepsis, burns, solid organ transplantation, major cardiovascular surgery, and chronic inflammatory conditions (Pickkers et al., 2012; Peters et al., 2015; Lukas et al., 2010; Poschner et al., 2021). However, phase II and III studies did not recapitulate these positive early results. Indeed, the initial phase II study of recombinant AP supplementation in sepsis revealed no positive impact on renal function, despite an observed mortality benefit (Pickkers et al., 2018). Phase III studies of AP supplementation were terminated for both sepsis-associated AKI and COVID-19-associated AKI (NCT04411472) after meeting pre-specified futility thresholds (Pickkers et al., 2024). As discussed by Pickkers and colleagues, it is plausible that the signal identified in early phase studies was a type I error, but the lack of signal within Phase III studies could also be impacted by changes in the study population and timing of patient enrollment within their disease course (Pickkers et al., 2024). There are no positive results for AP supplementation in post-cardiac surgery patient populations (Keizer et al., 2021; Kats et al., 2009).

Clinical developments in modulating extracellular adenosine production within inflammatory states: induction of CD73

Work within ARDS was predicated on the understanding that IFN-beta upregulates lung endothelial CD73 (Bellingan et al., 2014). Following preclinical studies, an open-label study of ARDS patients in eight United Kingdom centers with IV IFN-beta formulations was performed as a phase I and II study (NCT00789685; EudraCT: 2014-005260-15) (Bellingan et al., 2014). Increased levels of soluble CD73 occurred at a dose of 10 μg of IFN-beta per day; phase II patients received this dose for six consecutive days following a diagnosis of ARDS. The 28-day mortality in the treatment group was 8% compared with 32% in the control group, and there was a decreased requirement for renal and vasopressor support in the treatment group (Bellingan et al., 2014). Phase III studies revealed no significant difference in a composite score of death or days free from ventilation at 28 days in a population with moderate or severe ARDS (Ranieri et al., 2020).

These phase III results could be reasonably explained by patient heterogeneity, individual susceptibility to the intervention as well as drug-drug interactions in heavily-medicated critically ill patients leading to a lack of drug impact and an underpowered study with only a sub-group of patients benefitting. Receptor-mediated drug clearance, i.e., clearance before IFN-beta reaches endothelial or epithelial layers, and concomitant systemic corticosteroid use influence the clinical effects seen in critically ill patients who have compromised metabolism. As will be discussed below, systemic corticosteroids impair IFN-beta induction of CD73 expression and this population with ARDS had a frequent indication for systemic steroid use (Ranieri et al., 2020).

Beyond IFN-beta-1a, the anti-inflammatory effects of some long-standing and widely used drugs are at least partially mediated by CD73. Methotrexate and sulfasalazine, used in treating rheumatoid arthritis, increase the CD73-derived production of adenosine (Morabito et al., 1998). Statins are a drug class clinically used to decrease low-density lipoprotein (LDL) formation via inhibiting 3-hydroxy-3-methylglutaryl-coenzyme A (HMG-CoA) reductase. They may also have a subtle benefit within inflammatory states through a decrease in the downregulation of CD39 and CD73 activity (Jalkanen et al., 2015; Kaneider et al., 2002). Statins prevent CD73 endocytosis, which leads to a transient increase in CD73 activity and also weakly induce CD73 synthesis (Jalkanen et al., 2015; Kiviniemi et al., 2012; Ledoux et al., 2002; Kutryb-Zajac et al., 2020). Simvastatin administration has been studied in a population with ARDS within the HARP-2 trial, and it did not improve clinical outcomes (McAuley et al., 2014). However, within post hoc subphenotype analysis there was a benefit of simvastatin in patients exhibiting molecularly-defined hyperinflammatory ARDS, suggesting a potential role for increased CD73 activity impacting a spectrum of this syndrome (Calfee et al., 2018).

Potential risks of CD73-related therapy

Within animal models, concerning side effects of long-term adenosine production have been described, including fibrotic changes due to the upregulation of TGF-β and smooth muscle actin and the potential promotion of pulmonary artery hypertension (George et al., 2014; Hasan et al., 2017). These concerns may be less relevant for short-term courses targeting ARDS and other acute conditions. More acutely, adenosine signaling impacts on airway reactivity is complex with both potential beneficial effects, including bronchodilation associated with A2A and A2B receptor agonism, and detrimental effects, including bronchoconstriction and mucus gland hyperplasia associated with A1 receptor agonism (Wilson et al., 2009; Gao and Jacobson, 2017). A small trial of inhaled adenosine supplementation, due to its theoretical benefit in COVID-19 disease, identified some benefit early in the pandemic, was well tolerated without hemodynamic effects, though there was one case of moderate bronchospasm (Correale et al., 2020). This study was not further pursued, with further practical difficulty noted due to the adenosine having a half-life of less than 10 s. Historically, inhaled IFN-beta was prophylactically used to prevent asthma and chronic obstructive pulmonary disease (COPD) exacerbations (Djukanović et al., 2014). Potential mechanisms for this treatment include direct anti-viral effects and long-term protection via the induction of CD73. Reassuringly, IFN-beta has been used extensively as a long-term treatment for MS patients, with only two identified potential cases of the drug precipitating pulmonary arterial hypertension being reported within the available literature amongst the thousands of patients receiving daily IFN-beta therapy (Montani et al., 2013; Morabito et al., 1998).

Clinical developments on platelet signaling and CD39 modulation in critical illness

Inflammation and thrombosis are tightly linked and platelets are key mediators in this process with purinergic signaling through ATP- and ADP-dependent signaling through P2X and P2Y receptors (Eltzschig et al., 2013). P2X1 is a ligand-gated ion channel receptor for ATP and following activation leads to calcium influx and potentiation of the ADP-P2Y1 response (Sun et al., 1998; Jones et al., 2014). Key platelet receptors for ADP include P2Y1 which activates phospholipase C and triggers morphologic changes associated with activation and the inhibitory G protein-coupled P2Y12, the most important platelet activator (Koupenova and Ravid, 2018). This has both physiologic relevance and also has been a rich target area for drug development. Inhibitors of P2Y12, including clopidogrel, prasugrel, and ticagrelor are frequently used as “anti-platelet drugs” to inhibit platelet function and preserve blood vessel patency in the setting of coronary artery stent placement following ischemic myocardial injury, peripheral arterial disease and ischemic stroke. Outside of these contexts, there has not been a clear application for the modulation of platelet purinergic signaling in critical illness.

Further attempts to manipulate the inflammatory pathways have aimed to target downstream enzymes by targeting eATP. This includes ongoing registered clinical trials of recombinant soluble CD39 (TIN816, Novartis Pharmaceuticals AG) for sepsis-associated AKI (NCT05996835) as well as AKI associated with major cardiac surgery (NCT05524051) with anticipated completion dates in February 2026 and September 2025 respectively; these are registered trials and do not include unpublished data from us, the authors. Others and we have considered the development of bifunctional fusion proteins of CD39 and CD73. While in the early stages of development, these recombinant fusion proteins have potential to tackle the concerns that without additional CD73 activity, excess CD39 metabolism of eATP may cause downstream AMP accumulation (Zhong et al., 2021).

Glucocorticoids, purines and type I IFNs–the Yin and Yang in critical illness

As described, following positive phase I and II results, a phase III trial (NCT02622724, Faron Pharmaceuticals Ltd., INTEREST) was planned to investigate the role of intravenous IFN-beta in moderate and severe ARDS (Bellingan et al., 2017), yet, there was no significant difference in the 28-day composite endpoint, including mortality and the number of ventilator-free days (Ranieri et al., 2020). A post hoc analysis of the IFN-beta arm revealed that the simultaneous administration of systemic glucocorticoids was associated with an increase in 28-day mortality (10.6% for IFN-beta alone and 39.7% for both glucocorticoid and IFN-beta) (Jalkanen et al., 2020). Combinatorial glucocorticoid and IFN-beta use was a strong independent risk factor for death even after adjusting for disease severity. Given this concern for glucocorticoid confounding effects, IFN-beta might have continued potential for modulating inflammation in early stages of illness, particularly if there is not a clear indication for glucocorticoid use. Later it was shown that genetic susceptibility plays an important role in how a critically ill patient may react to the use of concurrent IFN-beta and glucocorticoid administration. This highlights the impact of patient heterogeneity in the ICU and the potential need for patient selection methods prior to some interventions (Jalkanen et al., 2023).

Inhaled IFN-beta-1a was examined within a phase III trial for COVID-19 infection (NCT04732949, SPRINTER). Within this population, inhaled IFN-beta did not affect the recovery time nor time to hospital discharge. This study contradicted a prior phase II trial, which had shown that inhaled IFN beta-1a increased the potential to recover two-fold relative to placebo by day 15 or 16 and three-fold by day 28 (Monk et al., 2021). Like the INTEREST trial being potentially impacted by concurrent glucocorticoid use, a potential cause for these disparate results could be the changes in care provided during the pandemic, including the appropriate widespread use of dexamethasone for patients with severe COVID-19 infections. No patients received dexamethasone in the phase II trial while 87% of patients received concurrent dexamethasone in the phase III trial (Synairgen, 2022).

A subsequent trial with intravenous IFN-beta (NCT04860518) was designed to allow for the natural sequence of IFNs and steroids to exist by treating patients with intravenous IFNs prior to entering the ICU by stopping IFNs and then initiating dexamethasone if worsening respiratory failure occurred. However, like many COVID-19 trials at this phase of the pandemic, there was a lack of eligible hospitalized patients, and the trial was halted in April 2022.

A randomized placebo-controlled phase II study (NCT03119701, INFORAAA) investigated the role of IFN-beta-1a in preventing multi-organ failure and death in patients following the open surgical repair of a ruptured abdominal aortic aneurysm. These patients faced multiple ischemic insults. First, from hypotension and decreased perfusion following the initial aneurysmal rupture, and second, from the decreased perfusion from aortic cross-clamping as part of their procedure (Makar et al., 2013; Jalkanen et al., 2016). Post-operative mortality is ∼40% and often associated with multiorgan failure (Bown et al., 2004; Biancari et al., 2011; Karthikesalingam et al., 2014).

In this post-surgical population, IFN-beta treatment on its own has shown promising results. Patients responding to IFN-beta treatment with a greater than twofold increase in their baseline CD73 levels achieved a 100% survival rate at day 30. This is a significant difference compared to the 31.6% survival of CD73 non-responders. Associated with the large mortality difference, patients with elevated levels of CD73 had reduced renal sequential organ failure assessment (SOFA) scores, an organ system-based ICU assessment score intended to predict mortality (Spicer et al., 2022). While highlighting the role of CD73 in organ protection in ischemic and acute inflammatory conditions, the small trial population may have impacted the outsized effect of CD73 induction on post-surgical mortality (Hakovirta et al., 2022).

IFN-beta has shown to be beneficial, yet the utilization of IFNs with glucocorticoids shows greater promise if following a rationale for early CD73 induction and delayed glucocorticoid administration. The interaction between IFN-beta and glucocorticoids has been described in patients receiving treatment for COVID-19 infections. Early IFN-beta treatment can lead to direct antiviral immunity and viral clearance (Lu et al., 2021; Finney et al., 2021). Dexamethasone, a glucocorticoid, was the first drug shown to reduce COVID-19 mortality, however only in a population with severe COVID-19 disease and not extending to those with mild disease (Lu et al., 2021; Horby et al., 2021; Ikeda et al., 2021). Early corticosteroid treatment may abrogate the benefit of type I IFNs and dampen natural anti-viral responses with delayed corticosteroid treatment suppressing the life-threatening cytokine storm and prevent inflammation-induced tissue damage (Cain and Cidlowski, 2020). Thus, future trials involving IFN-beta or other forms of CD73 induction should be designed to deliver initial CD73 induction prior to the potential addition of a corticosteroid.

Conclusion

CD73 is a drug target whose activity can be modified to alleviate harmful pathophysiology precipitated by purinergic responses and inappropriately-activated immune responses (Eltzschig et al., 2013). CD73 metabolism of AMP into adenosine is protective in mouse models of hepatic, renal, and intestinal injury (Grenz et al., 2008; Hart et al., 2011; Hart et al., 2008). In early clinical data, interferon-induced CD73 expression was protective with increased catalytic activity being associated with improvements in mortality, reduced vascular leakage, and reduced secondary markers of cytokine damage (Bellingan et al., 2014; Ranieri et al., 2020; Hakovirta et al., 2022). Notably, there was an attempt to use Mupadolimab, an anti-CD73 mAb with some promising data in the context of COVID-19 infection (Miller et al., 2021; Miller et al., 2022). It is unclear whether Mupadolimab’s effects resulted from the antibody’s unique signaling through CD73 binding associated with B cell activation or a functional impact on adenosine generation. Quantitative measurements of CD73 activity may have prognostic function in identifying patients who may progress from mild sterile inflammatory states to severe inflammatory disease.

Geriatric patients often do not withstand the rigors of critical illness and the ICU. Recent work has shown that memory T cells expressing CD73 are functionally distinct and that these immune cells markedly decline with age (Fang et al., 2021). Aged patients with decreased CD73 expression on memory T cells potentially are less able to compensate for inflammatory insults. This could contribute to the increased relative mortality in critically ill patient populations (Atramont et al., 2019).

However, comparable alterations in CD39 and CD73 have been noted with extreme aging >100 years, which could have protective effects on longevity, given that peripheral blood cells in centenarians are noted to have very low CD39 and CD73 mRNA (Crooke et al., 2017). This area is further complicated as another key paper reports that ENTPD1 expression can increase markedly on activated T cells in the elderly (Fang et al., 2016). This process boosting CD39 expression could compromise vaccination efficacy and may impact T cell survival and immunoregulation. Further work is required to clarify our understanding of the dynamic changes associated with purinergic inflammation in the context of progressive, advanced aging.

The vascular endothelium is a therapeutic target in major inflammatory conditions causing critical illness (Vincent et al., 2021; Ruhl et al., 2021; Duan et al., 2017). The population of patients in the early stages of their disease course that have a potential for progression to systemic inflammatory states provide an opportunity for anti-inflammatory pre-conditioning using CD73 induction or supplementation (Bellingan et al., 2014; Ranieri et al., 2020) as well as delayed steroid administration to abrogate cytokine storm. Ongoing and proposed trials hope to assess the role of prophylactic upregulation of endothelial CD73, or alternatively CD73, and/or CD39 supplementation in surgical patients at risk of ischemia-reperfusion injury. Potential benefits and challenges of the discussed methods of modifying ATP and metabolite concentrations are briefly summarized in Table 3. Increased CD73 activity in the systemic vasculature and the hypoxia-sensitive organs may provide a greater tolerance of ischemia and intermittent poor perfusion, thereby providing a clear drug target rather than only a focus on supportive measures of care in critically ill patients.

TABLE 3.

Summary of hypothesized advantages and disadvantages associated with methods of purinergic modification within critical illness. Selected references and/or national clinical trial ID numbers are identified; please see text for further detailed discussion.

Method Advantage Disadvantage References and/or national clinical trial ID.
CD39 supplementation Clearance of eATP with decrease in eATP-induced inflammatory signaling Localized accumulation of AMP; without identified clinical benefit to this point NCT05524051
NCT05996835
Alkaline phosphatase administration Can degrade ATP to adenosine; highly active Pluripotent effect and not specifically targeted to purinergic phosphate degradation; without identified clinical benefit to this point Pickkers et al. (2012), Peters et al. (2015), Pickkers et al. (2018), Pickkers et al. (2024)
CD73 supplementation Allows for adenosine-related signaling (AMP degradation); potential for greater tolerance of ischemic injury Dependent on eATP degradation to AMP; without tested/identified clinical role Thompson et al. (2004), Kelestemur et al. (2023)
CD39CD73 supplementation Clearance of eATP and CD39-derived AMP, allowing for adenosine-related signaling Preclinical data only and awaiting clinical testing Zhong et al. (2021)
CD73 induction with interferon beta 1a Primarily induced activity within endothelial and epithelial cells; potential for greater tolerance of ischemic injury Beneficial effect likely abrogated by concurrent steroid administration; dependent on eATP degradation to AMP; dysregulation and individual variability in IFN signaling among critically ill patients Jalkanen et al. (2020), Hakovirta et al. (2022), Jalkanen et al. (2023)
NCT02622724
NCT03119701
CD73 inhibition Data for oncologic indication promising, particularly in combination with checkpoint inhibitors Data for clinical benefit within oncology; benefit likely associated with the reverse (increased CD73 activity) within states of excess inflammation Harvey et al. (2020), Roh et al. (2020)
Herbst et al. (2022), Barlesi et al. (2024)
NCT05221840
NCT05221840

Funding Statement

The author(s) declared that financial support was received for this work and/or its publication. This work was supported by the National Institutes of Health Grants R01GM06618916, R01DK11379004 and R01HL158519 to GH; R01 DK108894; R21 CA164970 and R21 CA221702 and Department of Defense Award W81XWH-16-0464 to SCR. JML and JC are each supported by a Foundation for Anesthesia Education and Research (FAER) Mentored Research Training Grant.

Footnotes

Edited by: Paulo Correia-de-Sá, University of Porto, Portugal

Reviewed by: Katherine Figarella, University of Texas Health Science Center at Houston, United States

Ruth Lizzeth Madera Sandoval, Mexican Social Security Institute, Mexico

Agata Jedrzejewska, Medical University of Gdansk, Poland

Author contributions

JML: Writing – original draft, Writing – review and editing, Conceptualization. AJS: Writing – review and editing, Conceptualization, Writing – original draft. JC: Writing – review and editing. JJ: Conceptualization, Writing – review and editing. GH: Writing – review and editing. SCR: Writing – review and editing.

Acknowledgement

Figures were created using https://biorender.com.

Conflict of interest

AJS was employed by Faron Pharmaceuticals, presently SERB Pharmaceuticals. JJ is employed by Faron Pharmaceuticals and owns stock in Faron Pharmaceuticals. GH owns stock in Purine Pharmaceuticals, Inc. SCR is one of the scientific founders of Purinomia Biotech Inc and consults for eGenesis, AbbVie, and previously for SynLogic Inc. His interests are reviewed and managed by HMFP at Beth Israel Deaconess Medical Center in accordance with the conflict-of-interest policies. The remaining authors declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The author SCR declared that they were an editorial board member of Frontiers at the time of submission. This had no impact on the peer review process and the final decision.

Generative AI statement

The author(s) declared that generative AI was not used in the creation of this manuscript.

Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

  1. Airas L., Niemelä J., Yegutkin G., Jalkanen S. (2007). Mechanism of action of IFN-beta in the treatment of multiple sclerosis: a special reference to CD73 and adenosine. Ann. N. Y. Acad. Sci. 1110, 641–648. 10.1196/annals.1423.067 [DOI] [PubMed] [Google Scholar]
  2. Allard B., Longhi M. S., Robson S. C., Stagg J. (2017). The ectonucleotidases CD39 and CD73: novel checkpoint inhibitor targets. Immunol. Rev. 276 (1), 121–144. 10.1111/imr.12528 [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Allard D., Cormery J., Bricha S., Fuselier C., Abbas Aghababazadeh F., Giraud L., et al. (2025). Adenosine uptake through the nucleoside transporter ENT1 suppresses antitumor immunity and T-cell pyrimidine synthesis. Cancer Res. 85 (4), 692–703. 10.1158/0008-5472.CAN-24-1875 [DOI] [PubMed] [Google Scholar]
  4. America (2021). IDSA guidelines on the treatment and management of patients with COVID-19. Arlington, VA, USA: Infectious Diseases Society of America. [Google Scholar]
  5. Antonioli L., Pacher P., Vizi E. S., Hasko G. (2013). CD39 and CD73 in immunity and inflammation. Trends Mol. Med. 19 (6), 355–367. 10.1016/j.molmed.2013.03.005 [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Apasov S. G., Sitkovsky M. V. (1999). The extracellular versus intracellular mechanisms of inhibition of TCR-triggered activation in thymocytes by adenosine under conditions of inhibited adenosine deaminase. Int. Immunol. 11 (2), 179–189. 10.1093/intimm/11.2.179 [DOI] [PubMed] [Google Scholar]
  7. Atramont A., Lindecker-Cournil V., Rudant J., Tajahmady A., Drewniak N., Fouard A., et al. (2019). Association of age with short-term and long-term mortality among patients discharged from intensive care units in France. JAMA Netw. Open 2 (5), e193215. 10.1001/jamanetworkopen.2019.3215 [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Barlesi F., Cho B. C., Goldberg S. B., Yoh K., Zimmer Gelatti A. C., Mann H., et al. (2024). PACIFIC-9: phase III trial of durvalumab + oleclumab or monalizumab in unresectable stage III non-small-cell lung cancer. Future Oncol. 20 (29), 2137–2147. 10.1080/14796694.2024.2354160 [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Barletta K. E., Ley K., Mehrad B. (2012). Regulation of neutrophil function by adenosine. Arterioscler. Thromb. Vasc. Biol. 32 (4), 856–864. 10.1161/ATVBAHA.111.226845 [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Beigel J. H., Tomashek K. M., Dodd L. E., Mehta A. K., Zingman B. S., Kalil A. C., et al. (2020). Remdesivir for the treatment of Covid-19 - Final report. N. Engl. J. Med. 383 (19), 1813–1826. 10.1056/NEJMoa2007764 [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Bellingan G., Maksimow M., Howell D. C., Stotz M., Beale R., Beatty M., et al. (2014). The effect of intravenous interferon-beta-1a (FP-1201) on lung CD73 expression and on acute respiratory distress syndrome mortality: an open-label study. Lancet Respir. Med. 2 (2), 98–107. 10.1016/S2213-2600(13)70259-5 [DOI] [PubMed] [Google Scholar]
  12. Bellingan G., Brealey D., Mancebo J., Mercat A., Patroniti N., Pettilä V., et al. (2017). Comparison of the efficacy and safety of FP-1201-lyo (intravenously administered recombinant human interferon beta-1a) and placebo in the treatment of patients with moderate or severe acute respiratory distress syndrome: study protocol for a randomized controlled trial. Trials 18 (1), 536. 10.1186/s13063-017-2234-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Biancari F., Venermo M., Investigators F. A. D. (2011). Open repair of ruptured abdominal aortic aneurysm in patients aged 80 years and older. Br. J. Surg. 98 (12), 1713–1718. 10.1002/bjs.7658 [DOI] [PubMed] [Google Scholar]
  14. Borg N., Alter C., Görldt N., Jacoby C., Ding Z., Steckel B., et al. (2017). CD73 on T cells orchestrates cardiac wound healing after myocardial infarction by purinergic metabolic reprogramming. Circulation 136 (3), 297–313. 10.1161/CIRCULATIONAHA.116.023365 [DOI] [PubMed] [Google Scholar]
  15. Bown M. J., Cooper N. J., Sutton A. J., Prytherch D., Nicholson M. L., Bell P. R., et al. (2004). The post-operative mortality of ruptured abdominal aortic aneurysm repair. Eur. J. Vasc. Endovasc. Surg. 27 (1), 65–74. 10.1016/j.ejvs.2003.09.005 [DOI] [PubMed] [Google Scholar]
  16. Burnstock G. (2020). Introduction to purinergic signalling in the brain. Adv. Exp. Med. Biol. 1202, 1–12. 10.1007/978-3-030-30651-9_1 [DOI] [PubMed] [Google Scholar]
  17. Cai Z., Luo W., Zhan H., Semenza G. L. (2013). Hypoxia-inducible factor 1 is required for remote ischemic preconditioning of the heart. Proc. Natl. Acad. Sci. U. S. A. 110 (43), 17462–17467. 10.1073/pnas.1317158110 [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Cain D. W., Cidlowski J. A. (2020). After 62 years of regulating immunity, dexamethasone meets COVID-19. Nat. Rev. Immunol. 20 (10), 587–588. 10.1038/s41577-020-00421-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Calfee C. S., Delucchi K. L., Sinha P., Matthay M. A., Hackett J., Shankar-Hari M., et al. (2018). Acute respiratory distress syndrome subphenotypes and differential response to simvastatin: secondary analysis of a randomised controlled trial. Lancet Respir. Med. 6 (9), 691–698. 10.1016/S2213-2600(18)30177-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Cauwels A., Rogge E., Vandendriessche B., Shiva S., Brouckaert P. (2014). 'Extracellular ATP drives systemic inflammation, tissue damage and mortality. Cell Death Dis. 5, e1102. 10.1038/cddis.2014.70 [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Chambers A. M., Matosevic S. (2019). Immunometabolic dysfunction of natural killer cells mediated by the Hypoxia-CD73 axis in solid tumors. Front. Mol. Biosci. 6, 60. 10.3389/fmolb.2019.00060 [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Chávez-Galán L., Olleros M. L., Vesin D., Garcia I. (2015). Much more than M1 and M2 macrophages, there are also CD169(+) and TCR(+) macrophages. Front. Immunol. 6, 263. 10.3389/fimmu.2015.00263 [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Chrobak P., Charlebois R., Rejtar P., El Bikai R., Allard B., Stagg J. (2015). CD73 plays a protective role in collagen-induced arthritis. J. Immunol. 194 (6), 2487–2492. 10.4049/jimmunol.1401416 [DOI] [PubMed] [Google Scholar]
  24. Consortium W. S. T. (2022). Remdesivir and three other drugs for hospitalised patients with COVID-19: final results of the WHO solidarity randomised trial and updated meta-analyses. Lancet 399 (10339), 1941–1953. 10.1016/S0140-6736(22)00519-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Correale P., Caracciolo M., Bilotta F., Conte M., Cuzzola M., Falcone C., et al. (2020). Therapeutic effects of adenosine in high flow 21% oxygen aereosol in patients with Covid19-pneumonia. PLoS One 15 (10), e0239692. 10.1371/journal.pone.0239692 [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Cribbs S. K., Martin G. S., Rojas M. (2008). Monitoring of endothelial dysfunction in critically ill patients: the role of endothelial progenitor cells. Curr. Opin. Crit. Care 14 (3), 354–360. 10.1097/MCC.0b013e3282fc216d [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Cronstein B. N., Sitkovsky M. (2017). Adenosine and adenosine receptors in the pathogenesis and treatment of rheumatic diseases. Nat. Rev. Rheumatol. 13 (1), 41–51. 10.1038/nrrheum.2016.178 [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Crooke A., Martínez-Henández J., Martínez-López J., Cruz-Jentoft A., Huete-Toral F., Pintor J. (2017). 'Low expression of CD39 and CD73 genes in centenarians compared with octogenarians. Immun. Ageing 14, 11. 10.1186/s12979-017-0094-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Csóka B., Selmeczy Z., Koscsó B., Németh Z. H., Pacher P., Murray P. J., et al. (2012). Adenosine promotes alternative macrophage activation via A2A and A2B receptors. FASEB J. 26 (1), 376–386. 10.1096/fj.11-190934 [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Cuthbertson B. H., Roughton S., Jenkinson D., Maclennan G., Vale L. (2010). Quality of life in the five years after intensive care: a cohort study. Crit. Care 14 (1), R6. 10.1186/cc8848 [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Da M., Chen L., Enk A., Ring S., Mahnke K. (2022). The multifaceted actions of CD73 during development and suppressive actions of regulatory T cells. Front. Immunol. 13, 914799. 10.3389/fimmu.2022.914799 [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Dale N. (2021). Biological insights from the direct measurement of purine release. Biochem. Pharmacol. 187, 114416. 10.1016/j.bcp.2021.114416 [DOI] [PubMed] [Google Scholar]
  33. Dale N., Frenguelli B. G. (2009). Release of adenosine and ATP during ischemia and epilepsy. Curr. Neuropharmacol. 7 (3), 160–179. 10.2174/157015909789152146 [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. Deaglio S., Dwyer K. M., Gao W., Friedman D., Usheva A., Erat A., et al. (2007). “Adenosine generation catalyzed by CD39 and CD73 expressed on regulatory T cells mediates immune suppression”. J. Exp. Med. 204 (6), 1257–1265. 10.1084/jem.20062512 [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Djukanović R., Harrison T., Johnston S. L., Gabbay F., Wark P., Thomson N. C., et al. (2014). The effect of inhaled IFN-β on worsening of asthma symptoms caused by viral infections. A randomized trial. Am. J. Respir. Crit. Care Med. 190 (2), 145–154. 10.1164/rccm.201312-2235OC [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Dong L., Luo W., Maksym S., Robson S. C., Zavialov A. V. (2024). Adenosine deaminase 2 regulates the activation of the toll-like receptor 9 in response to nucleic acids. Front. Med. 18 (5), 814–830. 10.1007/s11684-024-1067-5 [DOI] [PubMed] [Google Scholar]
  37. Duan C. Y., Zhang J., Wu H. L., Li T., Liu L. M. (2017). Regulatory mechanisms, prophylaxis and treatment of vascular leakage following severe trauma and shock. Mil. Med. Res. 4, 11. 10.1186/s40779-017-0117-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Eckle T., Fullbier L., Wehrmann M., Khoury J., Mittelbronn M., Ibla J., et al. (2007a). Identification of ectonucleotidases CD39 and CD73 in innate protection during acute lung injury. J. Immunol. 178 (12), 8127–8137. 10.4049/jimmunol.178.12.8127 [DOI] [PubMed] [Google Scholar]
  39. Eckle T., Krahn T., Grenz A., Köhler D., Mittelbronn M., Ledent C., et al. (2007b). Cardioprotection by ecto-5’-nucleotidase (CD73) and A2B adenosine receptors. Circulation 115 (12), 1581–1590. 10.1161/CIRCULATIONAHA.106.669697 [DOI] [PubMed] [Google Scholar]
  40. Ehlers L., Meyts I. (2025). Getting to know adenosine deaminase 2 deficiency inside and out. J. Allergy Clin. Immunol. 155 (5), 1451–1463. 10.1016/j.jaci.2025.01.040 [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Ehrentraut H., Clambey E. T., McNamee E. N., Brodsky K. S., Ehrentraut S. F., Poth J. M., et al. (2013). CD73+ regulatory T cells contribute to adenosine-mediated resolution of acute lung injury. FASEB J. 27 (6), 2207–2219. 10.1096/fj.12-225201 [DOI] [PMC free article] [PubMed] [Google Scholar]
  42. Eltzschig H. K. (2013). Targeting purinergic signaling for perioperative organ protection. Anesthesiology 118 (5), 1001–1004. 10.1097/ALN.0b013e3182874686 [DOI] [PMC free article] [PubMed] [Google Scholar]
  43. Eltzschig H. K., Carmeliet P. (2011). Hypoxia and inflammation. N. Engl. J. Med. 364 (7), 656–665. 10.1056/NEJMra0910283 [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Eltzschig H. K., Sitkovsky M. V., Robson S. C. (2013). Purinergic signaling during inflammation. N. Engl. J. Med. 368 (13), 1260. 10.1056/NEJMc1300259 [DOI] [PubMed] [Google Scholar]
  45. Epstein A. C., Gleadle J. M., McNeill L. A., Hewitson K. S., O’Rourke J., Mole D. R., et al. (2001). C. elegans EGL-9 and mammalian homologs define a family of dioxygenases that regulate HIF by prolyl hydroxylation. Cell 107 (1), 43–54. 10.1016/s0092-8674(01)00507-4 [DOI] [PubMed] [Google Scholar]
  46. Fang F., Yu M., Cavanagh M. M., Hutter Saunders J., Qi Q., Ye Z., et al. (2016). Expression of CD39 on activated T cells impairs their survival in older individuals. Cell Rep. 14 (5), 1218–1231. 10.1016/j.celrep.2016.01.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. Fang F., Cao W., Zhu W., Lam N., Li L., Gaddam S., et al. (2021). The cell-surface 5'-nucleotidase CD73 defines a functional T memory cell subset that declines with age. Cell Rep. 37 (6), 109981. 10.1016/j.celrep.2021.109981 [DOI] [PMC free article] [PubMed] [Google Scholar]
  48. Figarella K., Kim J., Ruan W., Mills T., Eltzschig H. K., Yuan X. (2024). Hypoxia-adenosine axis as therapeutic targets for acute respiratory distress syndrome. Front. Immunol. 15, 1328565. 10.3389/fimmu.2024.1328565 [DOI] [PMC free article] [PubMed] [Google Scholar]
  49. Finney L. J., Glanville N., Farne H., Aniscenko J., Fenwick P., Kemp S. V., et al. (2021). Inhaled corticosteroids downregulate the SARS-CoV-2 receptor ACE2 in COPD through suppression of type I interferon. J. Allergy Clin. Immunol. 147 (2), 510–519.e5. 10.1016/j.jaci.2020.09.034 [DOI] [PMC free article] [PubMed] [Google Scholar]
  50. François B., Clavel M., Vignon P., Laterre P. F. (2016). Perspective on optimizing clinical trials in critical care: how to puzzle out recurrent failures. J. Intensive Care 4, 67. 10.1186/s40560-016-0191-y [DOI] [PMC free article] [PubMed] [Google Scholar]
  51. Gao Z. G., Jacobson K. A. (2017). Purinergic signaling in mast cell degranulation and asthma. Front. Pharmacol. 8, 947. 10.3389/fphar.2017.00947 [DOI] [PMC free article] [PubMed] [Google Scholar]
  52. George P. M., Wort S. J., Mitchell J. A. (2014). Use of interferon beta for acute respiratory distress syndrome: proceed with caution. Lancet Respir. Med. 2 (4), e2. 10.1016/S2213-2600(14)70048-7 [DOI] [PubMed] [Google Scholar]
  53. Ghalamfarsa G., Kazemi M. H., Raoofi Mohseni S., Masjedi A., Hojjat-Farsangi M., Azizi G., et al. (2019). CD73 as a potential opportunity for cancer immunotherapy. Expert Opin. Ther. Targets 23 (2), 127–142. 10.1080/14728222.2019.1559829 [DOI] [PubMed] [Google Scholar]
  54. Gordon J. L. (1986). “Extracellular ATP: effects, sources and fate”. Biochem. J. 233 (2), 309–319. 10.1042/bj2330309 [DOI] [PMC free article] [PubMed] [Google Scholar]
  55. Green A. M., Difazio R., Flynn J. L. (2013). “IFN-γ from CD4 T cells is essential for host survival and enhances CD8 T cell function during Mycobacterium tuberculosis infection”. J. Immunol. 190 (1), 270–277. 10.4049/jimmunol.1200061 [DOI] [PMC free article] [PubMed] [Google Scholar]
  56. Grenz A., Zhang H., Eckle T., Mittelbronn M., Wehrmann M., Köhle C., et al. (2007). Protective role of ecto-5’-nucleotidase (CD73) in renal ischemia. J. Am. Soc. Nephrol. 18 (3), 833–845. 10.1681/ASN.2006101141 [DOI] [PubMed] [Google Scholar]
  57. Grenz A., Osswald H., Eckle T., Yang D., Zhang H., Tran Z. V., et al. (2008). The reno-vascular A2B adenosine receptor protects the kidney from ischemia. PLoS Med. 5 (6), e137. 10.1371/journal.pmed.0050137 [DOI] [PMC free article] [PubMed] [Google Scholar]
  58. Grünewald J. K., Ridley A. J. (2010). CD73 represses pro-inflammatory responses in human endothelial cells. J. Inflamm. (Lond) 7 (1), 10. 10.1186/1476-9255-7-10 [DOI] [PMC free article] [PubMed] [Google Scholar]
  59. Hakovirta H., Jalkanen J., Saimanen E., Kukkonen T., Romsi P., Suominen V., et al. (2022). Induction of CD73 prevents death after emergency open aortic surgery for a ruptured abdominal aortic aneurysm: a randomized, double-blind, placebo-controlled study. Sci. Rep. 12 (1), 1839. 10.1038/s41598-022-05771-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  60. Halvorsen P., Hultström M., Hästbacka J., Larsson I. M., Eklund R., Arnberg F. K., et al. (2023). Health-related quality of life after surviving intensive care for COVID-19: a prospective multicenter cohort study. Sci. Rep. 13 (1), 18035. 10.1038/s41598-023-45346-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  61. Hansen K. R., Resta R., Webb C. F., Thompson L. F. (1995). Isolation and characterization of the promoter of the human 5'-nucleotidase (CD73)-encoding gene. Gene 167 (1-2), 307–312. 10.1016/0378-1119(95)00574-9 [DOI] [PubMed] [Google Scholar]
  62. Hart M. L., Much C., Gorzolla I. C., Schittenhelm J., Kloor D., Stahl G. L., et al. (2008). Extracellular adenosine production by ecto-5'-nucleotidase protects during murine hepatic ischemic preconditioning. Gastroenterology 135 (5), 1739–1750.e3. 10.1053/j.gastro.2008.07.064 [DOI] [PubMed] [Google Scholar]
  63. Hart M. L., Grenz A., Gorzolla I. C., Schittenhelm J., Dalton J. H., Eltzschig H. K. (2011). Hypoxia-inducible factor-1α-dependent protection from intestinal ischemia/reperfusion injury involves ecto-5'-nucleotidase (CD73) and the A2B adenosine receptor. J. Immunol. 186 (7), 4367–4374. 10.4049/jimmunol.0903617 [DOI] [PMC free article] [PubMed] [Google Scholar] [Retracted]
  64. Harvey J. B., Phan L. H., Villarreal O. E., Bowser J. L. (2020). CD73’s potential as an immunotherapy target in gastrointestinal cancers. Front. Immunol. 11, 508. 10.3389/fimmu.2020.00508 [DOI] [PMC free article] [PubMed] [Google Scholar]
  65. Hasan D., Blankman P., Nieman G. F. (2017). Purinergic signalling links mechanical breath profile and alveolar mechanics with the pro-inflammatory innate immune response causing ventilation-induced lung injury. Purinergic Signal 13, 363–386. 10.1007/s11302-017-9564-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  66. Haskó G., Linden J., Cronstein B., Pacher P. (2008). “Adenosine receptors: therapeutic aspects for inflammatory and immune diseases”. Nat. Rev. Drug Discov. 7 (9), 759–770. 10.1038/nrd2638 [DOI] [PMC free article] [PubMed] [Google Scholar]
  67. Haskó G., Csóka B., Koscsó B., Chandra R., Pacher P., Thompson L. F., et al. (2011). Ecto-5’-nucleotidase (CD73) decreases mortality and organ injury in sepsis. J. Immunol. 187 (8), 4256–4267. 10.4049/jimmunol.1003379 [DOI] [PMC free article] [PubMed] [Google Scholar]
  68. Herbst R. S., Majem M., Barlesi F., Carcereny E., Chu Q., Monnet I., et al. (2022). COAST: an open-label, phase II, multidrug platform study of durvalumab alone or in combination with oleclumab or monalizumab in patients with unresectable, stage III non-small-cell lung cancer. J. Clin. Oncol. 40 (29), 3383–3393. 10.1200/JCO.22.00227 [DOI] [PubMed] [Google Scholar]
  69. Horby P., Lim W. S., Emberson J. R., Mafham M., Bell J. L., Linsell L., et al. (2021). Dexamethasone in hospitalized patients with Covid-19. N. Engl. J. Med. 384 (8), 693–704. 10.1056/nejmoa2021436 [DOI] [PMC free article] [PubMed] [Google Scholar]
  70. Huang Z., Xie N., Illes P., Di Virgilio F., Ulrich H., Semyanov A., et al. (2021). From purines to purinergic signalling: molecular functions and human diseases. Signal Transduct. Target Ther. 6 (1), 162. 10.1038/s41392-021-00553-z [DOI] [PMC free article] [PubMed] [Google Scholar]
  71. Idzko M., Ferrari D., Eltzschig H. K. (2014). Nucleotide signalling during inflammation. Nature 509 (7500), 310–317. 10.1038/nature13085 [DOI] [PMC free article] [PubMed] [Google Scholar]
  72. Ikeda S., Misumi T., Izumi S., Sakamoto K., Nishimura N., Ro S., et al. (2021). Corticosteroids for hospitalized patients with mild to critically-ill COVID-19: a multicenter, retrospective, propensity score-matched study. Sci. Rep. 11 (1), 10727. 10.1038/s41598-021-90246-y [DOI] [PMC free article] [PubMed] [Google Scholar]
  73. Jalkanen J., Yegutkin G. G., Hollmén M., Aalto K., Kiviniemi T., Salomaa V., et al. (2015). Aberrant circulating levels of purinergic signaling markers are associated with several key aspects of peripheral atherosclerosis and thrombosis. Circ. Res. 116 (7), 1206–1215. 10.1161/CIRCRESAHA.116.305715 [DOI] [PubMed] [Google Scholar]
  74. Jalkanen J., Maksimow M., Jalkanen S., Hakovirta H. (2016). Hypoxia-induced inflammation and purinergic signaling in cross clamping the human aorta. Springerplus 5, 2. 10.1186/s40064-015-1651-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  75. Jalkanen J., Pettilä V., Huttunen T., Hollmén M., Jalkanen S. (2020). Glucocorticoids inhibit type I IFN beta signaling and the upregulation of CD73 in human lung. Intensive Care Med. 46, 1937–1940. 10.1007/s00134-020-06086-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  76. Jalkanen J., Khan S., Elima K., Huttunen T., Wang N., Hollmén M., et al. (2023). Polymorphism in interferon alpha/beta receptor contributes to glucocorticoid response and outcome of ARDS and COVID-19. Crit. Care 27 (1), 112. 10.1186/s13054-023-04388-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  77. Johnston J. B. (2011). Mechanism of action of pentostatin and cladribine in hairy cell leukemia. Leuk. Lymphoma 52 (Suppl. 2), 43–45. 10.3109/10428194.2011.570394 [DOI] [PubMed] [Google Scholar]
  78. Jones S., Evans R. J., Mahaut-Smith M. P. (2014). Ca2+ influx through P2X1 receptors amplifies P2Y1 receptor-evoked Ca2+ signaling and ADP-evoked platelet aggregation. Mol. Pharmacol. 86 (3), 243–251. 10.1124/mol.114.092528 [DOI] [PubMed] [Google Scholar]
  79. Kaczmarek E., Koziak K., Sévigny J., Siegel J. B., Anrather J., Beaudoin A. R., et al. (1996). Identification and characterization of CD39/vascular ATP diphosphohydrolase. J. Biol. Chem. 271 (51), 33116–33122. 10.1074/jbc.271.51.33116 [DOI] [PubMed] [Google Scholar]
  80. Kalil A. C., Mehta A. K., Patterson T. F., Erdmann N., Gomez C. A., Jain M. K., et al. (2021). Efficacy of interferon beta-1a plus remdesivir compared with remdesivir alone in hospitalised adults with COVID-19: a double-bind, randomised, placebo-controlled, phase 3 trial. Lancet Respir. Med. 9 (12), 1365–1376. 10.1016/S2213-2600(21)00384-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  81. Kaneider N. C., Egger P., Dunzendorfer S., Noris P., Balduini C. L., Gritti D., et al. (2002). Reversal of thrombin-induced deactivation of CD39/ATPDase in endothelial cells by HMG-CoA reductase inhibition: effects on Rho-GTPase and adenosine nucleotide metabolism. Arterioscler. Thromb. Vasc. Biol. 22 (6), 894–900. 10.1161/01.atv.0000018305.95943.f7 [DOI] [PubMed] [Google Scholar]
  82. Karthikesalingam A., Holt P. J., Vidal-Diez A., Ozdemir B. A., Poloniecki J. D., Hinchliffe R. J., et al. (2014). Mortality from ruptured abdominal aortic aneurysms: clinical lessons from a comparison of outcomes in England and the USA. Lancet 383 (9921), 963–969. 10.1016/S0140-6736(14)60109-4 [DOI] [PubMed] [Google Scholar]
  83. Kats S., Brands R., Seinen W., de Jager W., Bekker M. W., Hamad M. A., et al. (2009). “Anti-inflammatory effects of alkaline phosphatase in coronary artery bypass surgery with cardiopulmonary bypass”. Recent Pat. Inflamm. Allergy Drug Discov. 3 (3), 214–220. 10.2174/187221309789257388 [DOI] [PubMed] [Google Scholar]
  84. Kayagaki N., Warming S., Lamkanfi M., Vande Walle L., Louie S., Dong J., et al. (2011). Non-canonical inflammasome activation targets caspase-11. Nature 479 (7371), 117–121. 10.1038/nature10558 [DOI] [PubMed] [Google Scholar]
  85. Keizer H., Kats S., Christis I., Heylen R., Oosting R., Seinen W., et al. (2021). Safety and efficacy data of a randomized, double-blind, placebo-controlled phase II study with the biological response modifier “bRESCAP” in patients undergoing cardiac surgery (APPIRED II). Integr. Clin. Med. 5, 7. 10.15761/icm.1000193 [DOI] [Google Scholar]
  86. Kelestemur T., Németh Z. H., Pacher P., Beesley J., Robson S. C., Eltzschig H. K., et al. (2023). Adenosine metabolized from extracellular ATP ameliorates organ injury by triggering A(2B)R signaling. Respir. Res. 24 (1), 186. 10.1186/s12931-023-02486-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  87. Kepp O., Loos F., Liu P., Kroemer G. (2017). Extracellular nucleosides and nucleotides as immunomodulators. Immunol. Rev. 280 (1), 83–92. 10.1111/imr.12571 [DOI] [PubMed] [Google Scholar]
  88. Kiss J., Yegutkin G. G., Koskinen K., Savunen T., Jalkanen S., Salmi M. (2007). IFN-beta protects from vascular leakage via up-regulation of CD73. Eur. J. Immunol. 37 (12), 3334–3338. 10.1002/eji.200737793 [DOI] [PubMed] [Google Scholar]
  89. Kiviniemi T. O., Yegutkin G. G., Toikka J. O., Paul S., Aittokallio T., Janatuinen T., et al. (2012). “Pravastatin-induced improvement in coronary reactivity and circulating ATP and ADP levels in young adults with type 1 diabetes”. Front. Physiol. 3, 338. 10.3389/fphys.2012.00338 [DOI] [PMC free article] [PubMed] [Google Scholar]
  90. Kobie J. J., Shah P. R., Yang L., Rebhahn J. A., Fowell D. J., Mosmann T. R. (2006). T regulatory and primed uncommitted CD4 T cells express CD73, which suppresses effector CD4 T cells by converting 5'-adenosine monophosphate to adenosine. J. Immunol. 177 (10), 6780–6786. 10.4049/jimmunol.177.10.6780 [DOI] [PubMed] [Google Scholar]
  91. Koscsó B., Trepakov A., Csóka B., Németh Z. H., Pacher P., Eltzschig H. K., et al. (2013). Stimulation of A2B adenosine receptors protects against trauma-hemorrhagic shock-induced lung injury. Purinergic Signal 9 (3), 427–432. 10.1007/s11302-013-9362-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  92. Koupenova M., Ravid K. (2018). Biology of platelet purinergic receptors and implications for platelet heterogeneity. Front. Pharmacol. 9, 37. 10.3389/fphar.2018.00037 [DOI] [PMC free article] [PubMed] [Google Scholar]
  93. Kutryb-Zajac B., Mateuszuk L., Zukowska P., Jasztal A., Zabielska M. A., Toczek M., et al. (2016). Increased activity of vascular adenosine deaminase in atherosclerosis and therapeutic potential of its inhibition. Cardiovasc Res. 112 (2), 590–605. 10.1093/cvr/cvw203 [DOI] [PubMed] [Google Scholar]
  94. Kutryb-Zajac B., Jablonska P., Hebanowska A., Lango R., Rogowski J., Slominska E. M., et al. (2020). Statin treatment of patients with calcific aortic valve disease modulates extracellular adenosine metabolism on the cell surface of the aortic valve. Nucleosides Nucleotides Nucleic Acids 39 (10-12), 1389–1399. 10.1080/15257770.2020.1733603 [DOI] [PubMed] [Google Scholar]
  95. Kyttaris V. C., Zhang Z., Kampagianni O., Tsokos G. C. (2011). Calcium signaling in systemic lupus erythematosus T cells: a treatment target. Arthritis Rheum. 63 (7), 2058–2066. 10.1002/art.30353 [DOI] [PMC free article] [PubMed] [Google Scholar]
  96. Lassen H. (1953). A preliminary report on the 1952 poliomyelitis epidemic. Lancet 1, 37–41. 10.1016/s0140-6736(53)92530-6 [DOI] [PubMed] [Google Scholar]
  97. Le T. T., Berg N. K., Harting M. T., Li X., Eltzschig H. K., Yuan X. (2019). Purinergic signaling in pulmonary inflammation. Front. Immunol. 10, 1633. 10.3389/fimmu.2019.01633 [DOI] [PMC free article] [PubMed] [Google Scholar]
  98. Ledoux S., Laouari D., Essig M., Runembert I., Trugnan G., Michel J. B., et al. (2002). Lovastatin enhances ecto-5’-nucleotidase activity and cell surface expression in endothelial cells: implication of rho-family GTPases. Circ. Res. 90 (4), 420–427. 10.1161/hh0402.105668 [DOI] [PubMed] [Google Scholar]
  99. Lee J. W., Ko J., Ju C., Eltzschig H. K. (2019). Hypoxia signaling in human diseases and therapeutic targets. Exp. Mol. Med. 51 (6), 1–13. 10.1038/s12276-019-0235-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  100. Lee P. Y., Davidson B. A., Abraham R. S., Alter B., Arostegui J. I., Bell K., et al. (2023). Evaluation and management of deficiency of adenosine deaminase 2: an international consensus statement. JAMA Netw. Open 6 (5), e2315894. 10.1001/jamanetworkopen.2023.15894 [DOI] [PubMed] [Google Scholar]
  101. Ley K. (2017). M1 means kill; M2 means heal. J. Immunol. 199 (7), 2191–2193. 10.4049/jimmunol.1701135 [DOI] [PubMed] [Google Scholar]
  102. Li L., Okusa M. D. (2010). Macrophages, dendritic cells, and kidney ischemia-reperfusion injury. Semin. Nephrol. 30 (3), 268–277. 10.1016/j.semnephrol.2010.03.005 [DOI] [PMC free article] [PubMed] [Google Scholar]
  103. Linden J., Koch-Nolte F., Dahl G. (2019). Purine release, metabolism, and signaling in the inflammatory response. Annu. Rev. Immunol. 37, 325–347. 10.1146/annurev-immunol-051116-052406 [DOI] [PubMed] [Google Scholar]
  104. Losenkova K., Zuccarini M., Karikoski M., Laurila J., Boison D., Jalkanen S., et al. (2020). Compartmentalization of adenosine metabolism in cancer cells and its modulation during acute hypoxia. J. Cell Sci. 133 (10), jcs241463. 10.1242/jcs.241463 [DOI] [PMC free article] [PubMed] [Google Scholar]
  105. Lu Y., Liu F., Tong G., Qiu F., Song P., Wang X., et al. (2021). Clinical evidence of an interferon-glucocorticoid therapeutic synergy in COVID-19. Signal Transduct. Target Ther. 6 (1), 107. 10.1038/s41392-021-00496-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  106. Lukas M., Drastich P., Konecny M., Gionchetti P., Urban O., Cantoni F., et al. (2010). Exogenous alkaline phosphatase for the treatment of patients with moderate to severe ulcerative colitis. Inflamm. Bowel Dis. 16 (7), 1180–1186. 10.1002/ibd.21161 [DOI] [PubMed] [Google Scholar]
  107. Makar R. R., Badger S. A., O’Donnell M. E., Soong C. V., Lau L. L., Young I. S., et al. (2013). The inflammatory response to ruptured abdominal aortic aneurysm is altered by endovascular repair. Int. J. Vasc. Med. 2013, 482728. 10.1155/2013/482728 [DOI] [PMC free article] [PubMed] [Google Scholar]
  108. Maksimow M., Kyhala L., Nieminen A., Kylanpaa L., Aalto K., Elima K., et al. (2014). Early prediction of persistent organ failure by soluble CD73 in patients with acute pancreatitis. Crit. Care Med. 42 (12), 2556–2564. 10.1097/CCM.0000000000000550 [DOI] [PubMed] [Google Scholar]
  109. Massaia M., Bianchi A., Attisano C., Dianzani U., Boccadoro M., Pileri A. (1991). Dipyridamole in vitro suppresses the generation of T-cell cytotoxic functions: synergistic activity with cyclosporine. Eur. J. Haematol. 46 (1), 6–10. 10.1111/j.1600-0609.1991.tb00506.x [DOI] [PubMed] [Google Scholar]
  110. Matthay M. A., McAuley D. F., Ware L. B. (2017). Clinical trials in acute respiratory distress syndrome: challenges and opportunities. Lancet Respir. Med. 5 (6), 524–534. 10.1016/S2213-2600(17)30188-1 [DOI] [PubMed] [Google Scholar]
  111. McAuley D. F., Laffey J. G., O'Kane C. M., Perkins G. D., Mullan B., Trinder T. J., et al. (2014). Simvastatin in the acute respiratory distress syndrome. N. Engl. J. Med. 371 (18), 1695–1703. 10.1056/NEJMoa1403285 [DOI] [PubMed] [Google Scholar]
  112. Miller R. A., Guru P., Bauer P., Robles J., Tomaszewski C., Overcash J. S., et al. (2021). Clinical results with a B cell activating Anti-CD73 antibody for the immunotherapy of COVID-19. medRxiv [Preprint], 2021.09. 10.1101/2021.09.13.21263406 [DOI] [Google Scholar]
  113. Miller R. A., Luke J. J., Hu S., Mahabhashyam S., Jones W. B., Marron T., et al. (2022). “Anti-CD73 antibody activates human B cells, enhances humoral responses and induces redistribution of B cells in patients with cancer”. J. Immunother. Cancer 10 (12), e005802. 10.1136/jitc-2022-005802 [DOI] [PMC free article] [PubMed] [Google Scholar]
  114. Moens L., Hershfield M., Arts K., Aksentijevich I., Meyts I. (2019). Human adenosine deaminase 2 deficiency: a multi-faceted inborn error of immunity. Immunol. Rev. 287 (1), 62–72. 10.1111/imr.12722 [DOI] [PubMed] [Google Scholar]
  115. Monk P. D., Marsden R. J., Tear V. J., Brookes J., Batten T. N., Mankowski M., et al. (2021). Safety and efficacy of inhaled nebulised interferon beta-1a (SNG001) for treatment of SARS-CoV-2 infection: a randomised, double-blind, placebo-controlled, phase 2 trial. Lancet Respir. Med. 9 (2), 196–206. 10.1016/S2213-2600(20)30511-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  116. Monk P. D., Brookes J. L., Tear V. J., Batten T. N., Mankowski M., Adzic-Vukicevic T., et al. (2023). Nebulised interferon-β1a (SNG001) in hospitalised COVID-19: SPRINTER phase III study. ERJ Open Res. 9 (2), 00605-2022. 10.1183/23120541.00605-2022 [DOI] [PMC free article] [PubMed] [Google Scholar]
  117. Montani D., Seferian A., Savale L., Simonneau G., Humbert M. (2013). Drug-induced pulmonary arterial hypertension: a recent outbreak. Eur. Respir. Rev. 22 (129), 244–250. 10.1183/09059180.00003313 [DOI] [PMC free article] [PubMed] [Google Scholar]
  118. Morabito L., Montesinos M. C., Schreibman D. M., Balter L., Thompson L. F., Resta R., et al. (1998). Methotrexate and sulfasalazine promote adenosine release by a mechanism that requires ecto-5'-nucleotidase-mediated conversion of adenine nucleotides. J. Clin. Investigation 101 (2), 295–300. 10.1172/JCI1554 [DOI] [PMC free article] [PubMed] [Google Scholar]
  119. Narravula S., Lennon P. F., Mueller B. U., Colgan S. P. (2000). Regulation of endothelial CD73 by adenosine: paracrine pathway for enhanced endothelial barrier function. J. Immunol. 165 (9), 5262–5268. 10.4049/jimmunol.165.9.5262 [DOI] [PubMed] [Google Scholar]
  120. Niemela J., Henttinen T., Yegutkin G. G., Airas L., Kujari A. M., Rajala P., et al. (2004). IFN-alpha induced adenosine production on the endothelium: a mechanism mediated by CD73 (ecto-5'-nucleotidase) up-regulation. J. Immunol. 172 (3), 1646–1653. 10.4049/jimmunol.172.3.1646 [DOI] [PubMed] [Google Scholar]
  121. Niemela J., Ifergan I., Yegutkin G. G., Jalkanen S., Prat A., Airas L. (2008). IFN-beta regulates CD73 and adenosine expression at the blood-brain barrier. Eur. J. Immunol. 38 (10), 2718–2726. 10.1002/eji.200838437 [DOI] [PubMed] [Google Scholar]
  122. Ohta A., Sitkovsky M. (2001). Role of G-protein-coupled adenosine receptors in downregulation of inflammation and protection from tissue damage. Nature 414 (6866), 916–920. 10.1038/414916a [DOI] [PubMed] [Google Scholar]
  123. Ohta A., Gorelik E., Prasad S. J., Ronchese F., Lukashev D., Wong M. K., et al. (2006). A2A adenosine receptor protects tumors from antitumor T cells. Proc. Natl. Acad. Sci. U. S. A. 103 (35), 13132–13137. 10.1073/pnas.0605251103 [DOI] [PMC free article] [PubMed] [Google Scholar]
  124. Persson J. N., Baird C. H., Tong S., Urban T. T., Klawitter J., Wischmeyer P. E., et al. (2018). Infant cardiopulmonary bypass: CD73 kinetics, association with clinical outcomes, and influence on serum adenosine production capacity. Pediatr. Res. 83 (4), 858–865. 10.1038/pr.2017.325 [DOI] [PMC free article] [PubMed] [Google Scholar]
  125. Peters E., Geraci S., Heemskerk S., Wilmer M. J., Bilos A., Kraenzlin B., et al. (2015). Alkaline phosphatase protects against renal inflammation through dephosphorylation of lipopolysaccharide and adenosine triphosphate. Br. J. Pharmacol. 172 (20), 4932–4945. 10.1111/bph.13261 [DOI] [PMC free article] [PubMed] [Google Scholar]
  126. Pickkers P., Heemskerk S., Schouten J., Laterre P. F., Vincent J. L., Beishuizen A., et al. (2012). Alkaline phosphatase for treatment of sepsis-induced acute kidney injury: a prospective randomized double-blind placebo-controlled trial. Crit. Care 16 (1), R14. 10.1186/cc11159 [DOI] [PMC free article] [PubMed] [Google Scholar]
  127. Pickkers P., Mehta R. L., Murray P. T., Joannidis M., Molitoris B. A., Kellum J. A., et al. (2018). Effect of human recombinant alkaline phosphatase on 7-Day creatinine clearance in patients with sepsis-associated acute kidney injury: a randomized clinical trial. JAMA 320 (19), 1998–2009. 10.1001/jama.2018.14283 [DOI] [PMC free article] [PubMed] [Google Scholar]
  128. Pickkers P., Angus D. C., Bass K., Bellomo R., van den Berg E., Bernholz J., et al. (2024). Phase-3 trial of recombinant human alkaline phosphatase for patients with sepsis-associated acute kidney injury (REVIVAL). Intensive Care Med. 50 (1), 68–78. 10.1007/s00134-023-07271-w [DOI] [PMC free article] [PubMed] [Google Scholar]
  129. Poschner T., Schaefer A. K., Hutschala D., Goliasch G., Riebandt J., Distelmaier K., et al. (2021). Impact of venoarterial extracorporeal membrane oxygenation on alkaline phosphatase metabolism after cardiac surgery. Biomolecules 11 (5), 748. 10.3390/biom11050748 [DOI] [PMC free article] [PubMed] [Google Scholar]
  130. Ranieri V. M., Pettilä V., Karvonen M. K., Jalkanen J., Nightingale P., Brealey D., et al. (2020). Effect of intravenous interferon β-1a on death and days free from mechanical ventilation among patients with moderate to severe acute respiratory distress syndrome: a randomized clinical trial. JAMA 323, 725–733. 10.1001/jama.2019.22525 [DOI] [PMC free article] [PubMed] [Google Scholar]
  131. Roh M., Wainwright D. A., Wu J. D., Wan Y., Zhang B. (2020). Targeting CD73 to augment cancer immunotherapy. Curr. Opin. Pharmacol. 53, 66–76. 10.1016/j.coph.2020.07.001 [DOI] [PMC free article] [PubMed] [Google Scholar]
  132. Rud J., Riker R. R., Eldridge A., Lord C., deKay J. T., May T. L., et al. (2023). Decreased circulating CD73 and adenosine deaminase are associated with disease severity in hospitalized patients with COVID-19. Int. J. Immunopathol. Pharmacol. 37, 03946320231185703. 10.1177/03946320231185703 [DOI] [PMC free article] [PubMed] [Google Scholar]
  133. Ruhl L., Pink I., Kühne J. F., Beushausen K., Keil J., Christoph S., et al. (2021). Endothelial dysfunction contributes to severe COVID-19 in combination with dysregulated lymphocyte responses and cytokine networks. Signal Transduct. Target Ther. 6 (1), 418. 10.1038/s41392-021-00819-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  134. Salmi M., Jalkanen S. (2005). Cell-surface enzymes in control of leukocyte trafficking. Nat. Rev. Immunol. 5 (10), 760–771. 10.1038/nri1705 [DOI] [PubMed] [Google Scholar]
  135. Santacruz C. A., Pereira A. J., Celis E., Vincent J. L. (2019). Which multicenter randomized controlled trials in critical care medicine have shown reduced mortality? a systematic review. Crit. Care Med. 47 (12), 1680–1691. 10.1097/CCM.0000000000004000 [DOI] [PubMed] [Google Scholar]
  136. Sauer A. V., Brigida I., Carriglio N., Aiuti A. (2012). Autoimmune dysregulation and purine metabolism in adenosine deaminase deficiency. Front. Immunol. 3, 265. 10.3389/fimmu.2012.00265 [DOI] [PMC free article] [PubMed] [Google Scholar]
  137. Saze Z., Schuler P. J., Hong C. S., Cheng D., Jackson E. K., Whiteside T. L. (2013). Adenosine production by human B cells and B cell-mediated suppression of activated T cells. Blood 122 (1), 9–18. 10.1182/blood-2013-02-482406 [DOI] [PMC free article] [PubMed] [Google Scholar]
  138. Sotnikov I., Louis N. A. (2010). CD73-dependent regulation of interferon αA and interleukin-10 in the inflamed mucosa. ScientificWorldJournal 10, 2167–2180. 10.1100/tsw.2010.203 [DOI] [PMC free article] [PubMed] [Google Scholar]
  139. Spicer A. J., Venermo M. V., Hakovirta H., Jalkanen J., Group T. I. S. (2022). Induction of CD73 prevents death after emergency open aortic surgery for ruptured abdominal aortic aneurysm. Budapest, Hungary: Frontiers in CardioVascular Biomedicine. [DOI] [PMC free article] [PubMed] [Google Scholar]
  140. Spychala J. (2000). Tumor-promoting functions of adenosine. Pharmacol. Ther. 87 (2-3), 161–173. 10.1016/s0163-7258(00)00053-x [DOI] [PubMed] [Google Scholar]
  141. St Hilaire C., Ziegler S. G., Markello T. C., Brusco A., Groden C., Gill F., et al. (2011). NT5E mutations and arterial calcifications. N. Engl. J. Med. 364 (5), 432–442. 10.1056/NEJMoa0912923 [DOI] [PMC free article] [PubMed] [Google Scholar]
  142. Stagg J., Divisekera U., Duret H., Sparwasser T., Teng M. W., Darcy P. K., et al. (2011). CD73-deficient mice have increased antitumor immunity and are resistant to experimental metastasis. Cancer Res. 71 (8), 2892–2900. 10.1158/0008-5472.CAN-10-4246 [DOI] [PubMed] [Google Scholar]
  143. Stagg J., Golden E., Wennerberg E., Demaria S. (2023). The interplay between the DNA damage response and ectonucleotidases modulates tumor response to therapy. Sci. Immunol. 8 (85), eabq3015. 10.1126/sciimmunol.abq3015 [DOI] [PMC free article] [PubMed] [Google Scholar]
  144. Sun B., Li J., Okahara K., Kambayashi J. (1998). P2X1 purinoceptor in human platelets. Molecular cloning and functional characterization after heterologous expression. J. Biol. Chem. 273 (19), 11544–11547. 10.1074/jbc.273.19.11544 [DOI] [PubMed] [Google Scholar]
  145. Synairgen (2022). “Topline results from phase 3 SPRINTER trial,” in Synairgen announces topline results from phase 3 SPRINTER trial in patients hospitalised with COVID-19. [Google Scholar]
  146. Synnestvedt K., Furuta G. T., Comerford K. M., Louis N., Karhausen J., Eltzschig H. K., et al. (2002). Ecto-5'-nucleotidase (CD73) regulation by hypoxia-inducible factor-1 mediates permeability changes in intestinal epithelia. J. Clin. Invest 110 (7), 993–1002. 10.1172/JCI15337 [DOI] [PMC free article] [PubMed] [Google Scholar]
  147. Thompson L. F., Eltzschig H. K., Ibla J. C., Van De Wiele C. J., Resta R., Morote-Garcia J. C., et al. (2004). Crucial role for ecto-5'-nucleotidase (CD73) in vascular leakage during hypoxia. J. Exp. Med. 200 (11), 1395–1405. 10.1084/jem.20040915 [DOI] [PMC free article] [PubMed] [Google Scholar]
  148. Tsukamoto H., Chernogorova P., Ayata K., Gerlach U. V., Rughani A., Ritchey J. W., et al. (2012). Deficiency of CD73/ecto-5'-nucleotidase in mice enhances acute graft-versus-host disease. Blood 119 (19), 4554–4564. 10.1182/blood-2011-09-375899 [DOI] [PMC free article] [PubMed] [Google Scholar]
  149. Unsinger J., McGlynn M., Kasten K. R., Hoekzema A. S., Watanabe E., Muenzer J. T., et al. (2010). IL-7 promotes T cell viability, trafficking, and functionality and improves survival in sepsis. J. Immunol. 184 (7), 3768–3779. 10.4049/jimmunol.0903151 [DOI] [PMC free article] [PubMed] [Google Scholar]
  150. Vaara S. T., Hollmen M., Korhonen A. M., Maksimow M., Ala-Kokko T., Salmi M., et al. (2016). Soluble CD73 in critically ill septic patients - data from the prospective FINNAKI study. PLoS One 11 (10), e0164420. 10.1371/journal.pone.0164420 [DOI] [PMC free article] [PubMed] [Google Scholar]
  151. Vincent J. L., Creteur J. (2015). Paradigm shifts in critical care medicine: the progress we have made. Crit. Care 19 (Suppl. 3), S10. 10.1186/cc14728 [DOI] [PMC free article] [PubMed] [Google Scholar]
  152. Vincent J. L., Ince C., Pickkers P. (2021). Endothelial dysfunction: a therapeutic target in bacterial sepsis? Expert Opin. Ther. Targets 25 (9), 733–748. 10.1080/14728222.2021.1988928 [DOI] [PubMed] [Google Scholar]
  153. Wang N., Vuerich M., Kalbasi A., Graham J. J., Csizmadia E., Manickas-Hill Z. J., et al. (2021). Limited TCR repertoire and ENTPD1 dysregulation mark late-stage COVID-19. iScience 24 (10), 103205. 10.1016/j.isci.2021.103205 [DOI] [PMC free article] [PubMed] [Google Scholar]
  154. Whitmore K. V., Gaspar H. B. (2016). Adenosine deaminase deficiency - more than just an immunodeficiency. Front. Immunol. 7, 314. 10.3389/fimmu.2016.00314 [DOI] [PMC free article] [PubMed] [Google Scholar]
  155. Wilson C. N., Nadeem A., Spina D., Brown R., Page C. P., Mustafa S. J. (2009). Adenosine receptors and asthma. Handb. Exp. Pharmacol. (193), 329–362. 10.1007/978-3-540-89615-9_11 [DOI] [PMC free article] [PubMed] [Google Scholar]
  156. Yegutkin G. G. (2008). Nucleotide- and nucleoside-converting ectoenzymes: important modulators of purinergic signalling cascade. Biochim. Biophys. Acta 1783 (5), 673–694. 10.1016/j.bbamcr.2008.01.024 [DOI] [PubMed] [Google Scholar]
  157. Yegutkin G. G., Marttila-Ichihara F., Karikoski M., Niemela J., Laurila J. P., Elima K., et al. (2011). Altered purinergic signaling in CD73-deficient mice inhibits tumor progression. Eur. J. Immunol. 41 (5), 1231–1241. 10.1002/eji.201041292 [DOI] [PubMed] [Google Scholar]
  158. Zernecke A., Bidzhekov K., Ozuyaman B., Fraemohs L., Liehn E. A., Luscher-Firzlaff J. M., et al. (2006). CD73/ecto-5'-nucleotidase protects against vascular inflammation and neointima formation. Circulation 113 (17), 2120–2127. 10.1161/CIRCULATIONAHA.105.595249 [DOI] [PubMed] [Google Scholar]
  159. Zhang B. (2012). CD73 promotes tumor growth and metastasis. Oncoimmunology 1 (1), 67–70. 10.4161/onci.1.1.18068 [DOI] [PMC free article] [PubMed] [Google Scholar]
  160. Zhang T., Yu-Jing L., Ma T. (2022). The immunomodulatory function of adenosine in sepsis. Front. Immunol. 13, 936547. 10.3389/fimmu.2022.936547 [DOI] [PMC free article] [PubMed] [Google Scholar]
  161. Zhong E. H., Ledderose C., De Andrade Mello P., Enjyoji K., Lunderberg J. M., Junger W., et al. (2021). Structural and functional characterization of engineered bifunctional fusion proteins of CD39 and CD73 ectonucleotidases. Am. J. Physiol. Cell Physiol. 320 (1), C15–C29. 10.1152/ajpcell.00430.2020 [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from Frontiers in Pharmacology are provided here courtesy of Frontiers Media SA

RESOURCES