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Proceedings of the National Academy of Sciences of the United States of America logoLink to Proceedings of the National Academy of Sciences of the United States of America
. 2018 Aug 13;115(35):8781–8786. doi: 10.1073/pnas.1805288115

Interleukin 4 is inactivated via selective disulfide-bond reduction by extracellular thioredoxin

Nicholas M Plugis a,1, Nielson Weng a,b,c,1, Qinglan Zhao d, Brad A Palanski a, Holden T Maecker e, Aida Habtezion d, Chaitan Khosla a,f,g,2
PMCID: PMC6126747  PMID: 30104382

Significance

Macrophages are important regulators of the immune system. They display remarkable phenotypic plasticity in response to environmental cues. Classical macrophage activation occurs in response to inflammatory signals, whereas alternative macrophage activation results from exposure to IL-4 and/or IL-13. The mechanistic basis for differential regulation of macrophages by IL-4 and IL-13 remains poorly understood. We show through in vitro and in vivo experiments that thioredoxin 1, a redox protein cofactor, preferentially inactivates IL-4 over IL-13, by reduction of a specific disulfide bond. As extracellular levels of thioredoxin are elevated in many pathological conditions, our results highlight a novel pharmacologically promising immunomodulatory mechanism.

Keywords: interleukin 4, thioredoxin, disulfide bond, macrophages, M2

Abstract

Thioredoxin 1 (TRX), an essential intracellular redox regulator, is also secreted by mammalian cells. Recently, we showed that TRX activates extracellular transglutaminase 2 via reduction of an allosteric disulfide bond. In an effort to identify other extracellular substrates of TRX, macrophages derived from THP-1 cells were treated with NP161, a small-molecule inhibitor of secreted TRX. NP161 enhanced cytokine outputs of alternatively activated macrophages, suggesting that extracellular TRX regulated the activity of interleukin 4 (IL-4) and/or interleukin 13 (IL-13). To test this hypothesis, the C35S mutant of human TRX was shown to form a mixed disulfide bond with recombinant IL-4 but not IL-13. Kinetic analysis revealed a kcat/KM value of 8.1 μM−1⋅min−1 for TRX-mediated recognition of IL-4, which established this cytokine as the most selective partner of extracellular TRX to date. Mass spectrometry identified the C46–C99 bond of IL-4 as the target of TRX, consistent with the essential role of this disulfide bond in IL-4 activity. To demonstrate the physiological relevance of our biochemical findings, recombinant TRX was shown to attenuate IL-4–dependent proliferation of cultured TF-1 erythroleukemia cells and also to inhibit the progression of chronic pancreatitis in an IL-4–driven mouse model of this disease. By establishing that IL-4 is posttranslationally regulated by TRX-promoted reduction of a disulfide bond, our findings highlight a novel regulatory mechanism of the type 2 immune response that is specific to IL-4 over IL-13.


Mammalian thioredoxin 1 (TRX) is a ubiquitous protein cofactor that regulates redox homeostasis by promoting thiol–disulfide exchange reactions with oxidized cytosolic proteins (1). In the intracellular environment, oxidized TRX is recycled via the activity of the NADPH-dependent enzyme thioredoxin reductase. Some mammalian cells are also known to secrete TRX via a noncanonical export mechanism (1–4). While the fate of oxidized TRX outside the cell is unclear, recent studies have led to the identification of a few extracellular substrates of its reduced form. For example, TRX activates the TRPC ion channel and the HIV-1 envelope protein gp120 via reduction of allosteric disulfide bonds (5, 6). Elevated serum levels of TRX have been reported in many pathological conditions associated with inflammation including AIDS, rheumatoid arthritis, inflammatory bowel disease, and Sjögren’s syndrome (7–10).

In previous studies, we demonstrated that TRX activates extracellular transglutaminase 2 (TG2) via reduction of an allosteric disulfide bond (11–13). In those experiments, we engineered and utilized two chemical biological tools. First, NP161 was identified as a potent and selective inhibitor of extracellular TRX in vitro (12) and in vivo (13). Because this small molecule deactivates TRX via oxidation of its active-site cysteine residues, its effects are presumably restricted to the extracellular environment, where TRX reductase is not present (Fig. 1A). Second, we engineered an active-site mutant of human TRX (C35S) that covalently traps its substrates (6, 14, 15), and used it to demonstrate selective TRX-TG2 recognition in vivo (Fig. 1B) (13). These results motivated us to harness the same tools to search for other physiological protein substrates of extracellular TRX. During our investigation of TRX-TG2 recognition, we noticed that in addition to TG2 activity, macrophage morphology was also sensitive to TRX inactivation (13). Therefore, we sought to identify TRX substrates involved in macrophage polarization.

Fig. 1.

Fig. 1.

Molecular tools to investigate the biology of extracellular TRX. (A) NP161 inactivates TRX by oxidizing its C32XXC35 active site via disulfide-bond formation. Whereas oxidized TRX in the cytosol is rapidly regenerated by thioredoxin reductase in an NADPH-dependent manner, extracellular TRX has no known mechanism of regeneration; therefore, this mechanism of inactivation is selective for extracellular TRX (12, 13). (B) The C35S mutant of human TRX enables covalent trapping of its extracellular substrates. A mixed disulfide intermediate is formed between C32 and one of the two Cys residues comprising a disulfide bond in a target protein substrate. Whereas the corresponding mixed disulfide bond with wild-type TRX is highly transient, the complex involving the C35S mutant is more stable (13).

Macrophages play a critical role in the immune system based on their ability to engulf and destroy microorganisms while also serving as antigen-presenting cells that facilitate T-cell responses. In response to environmental signals, macrophages acquire distinct activated phenotypes and functions. Historically, two distinct polarization states of macrophages, “classically activated” (M1) and “alternatively activated” (M2), have been recognized. More recent work has refined this binary paradigm into a model of a phenotypic spectrum (16, 17). Classical activation can be achieved by exposure to interferon-gamma (IFN-γ) and lipopolysaccharide (LPS). In contrast, M2 macrophages result from exposure to either interleukin 4 (IL-4) or interleukin 13 (IL-13) (18). Our initial screen revealed that M2 macrophages exposed to the TRX inhibitor NP161 displayed increased secretion of cytokines, suggesting that IL-4 and/or IL-13 were the main targets of TRX.

Because IL-4 and IL-13 share structural homology, receptor subunits, and downstream effector functions (19, 20), any observed effect on M2 macrophages can be mediated through either IL-4 and/or IL-13. While other studies have shown that a reducing environment abrogates the downstream biological effects of IL-4 (21–23), there is no evidence that this effect is unique to IL-4. In addition, no one has captured a direct interaction between any reducing factors and IL-4 or shown that this interaction is physiologically relevant. In this study, we have identified secreted IL-4 but not IL-13 as a preferred substrate of extracellular TRX. In addition to characterizing the redox mechanism of this regulatory process, we have also demonstrated its pathophysiological relevance in an animal model of human disease.

Results

Extracellular TRX Inhibition Enhances Cytokine Outputs of M2 Macrophages Derived from THP-1 Cells.

Because we noticed that macrophage morphology was sensitive to TRX inactivation, we performed a cytokine screen to characterize the effect of TRX on macrophages. We first evaluated an established cellular model involving the THP-1 human monocytic cell line (16). Specifically, THP-1 cells were differentiated into macrophages by exposure to phorbol 12-myristate 13-acetate (PMA); cells thus treated are commonly referred to as unpolarized macrophages in the “M0 state” (16). M0 macrophages can then be polarized into M1 macrophages with IFN-γ and LPS or into M2 macrophages with IL-4.

To test the effect of endogenous extracellular TRX on macrophage polarization, we added NP161, a small-molecule inhibitor of extracellular TRX, to cultures of either M1 or M2 macrophages. For this exploratory study, we looked for the most profound changes in the concentrations of secreted cytokines. Among the 62 cytokines screened, changes of at least fivefold were identified for 11 cytokines (Fig. 2). Notably, addition of NP161 reduces secretion of these cytokines in M1 macrophages, whereas it increases cytokine levels in M2 macrophages.

Fig. 2.

Fig. 2.

TRX inhibitor NP161 stimulates cytokine secretion in M2 cells while inhibiting secretion in M1 cells. THP-1 cells were differentiated into M0 macrophages with PMA for 48 h, followed by polarization into M1 macrophages with IFN-γ (20 ng/mL) and LPS (1 ng/mL) or into M2 macrophages with IL-4 (20 ng/mL) for 36 h. Then, M1 or M2 cells were exposed to vehicle or NP161 (33 µM). Fold changes in secreted cytokine concentrations (pg/mL) are plotted in binary-logarithmic scale in a heatmap. Cytokines that are changed by fivefold or more by NP161 are shown for either M1 or M2 macrophages. For a full list of cytokine measurements, see SI Appendix, Table S1. Cytokine and chemokine levels were determined by a multiplexed Luminex assay. Data are the means from three biological replicates.

The above observations led us to suspect a role for extracellular TRX in suppressing the M2 state of macrophages. Because IL-13 can elicit the same immune response as IL-4, our observed effect could also be mediated through IL-13. Therefore, we hypothesized that extracellular TRX influenced this differential polarization of macrophages by directly inactivating either IL-4 or IL-13, two cytokines whose activities are known to require the presence of disulfide bonds (24, 25). This hypothesis was directly tested through biochemical studies, as described below.

TRX Preferentially Reduces IL-4 over IL-13.

The cytokines IL-4 and IL-13 are homologous helical proteins that signal through a shared receptor, IL-4Rα (Fig. 3). Both cytokines harbor three disulfide bonds. To directly test the hypothesis that TRX regulates IL-4 and/or IL-13 function by reduction of an allosteric disulfide bond, we first needed to produce sufficient quantities of both recombinant proteins. Genes encoding the mature human IL-4 and IL-13 were expressed in Escherichia coli, and the proteins were isolated as inclusion bodies. As detailed in Materials and Methods, each cytokine was refolded, purified, and demonstrated to have comparable biological activity to authentic standards in a TF-1 cell-proliferation assay. The ED50 values of IL-4 and IL-13 in this proliferation assay were 1.7 and 0.5 µg/mL, respectively (SI Appendix, Fig. S1).

Fig. 3.

Fig. 3.

Structure of IL-4 and IL-13. Interleukin 4 (A) [Protein Data Bank (PDB) ID code 1HIK] and interleukin 13 (B) (PDB ID code 3LB6) are four-helix bundles that each possess three disulfide bonds (shown in yellow).

To test whether recombinant human TRX was able to recognize and react with recombinant human IL-4 or IL-13, we took advantage of the active-site C35S mutant (Fig. 1B) that has been previously used to trap mixed disulfide adducts between TRX and its substrates (6, 15). This mutant protein (13 kDa) was purified and incubated with IL-4 (17 kDa) or IL-13 (15 kDa), and the protein mixtures were analyzed via nonreducing SDS/PAGE. A prominent ∼30-kDa adduct was observed when mutant TRX was incubated with IL-4; under identical conditions, only a small amount of the putative adduct was observed between the C35S TRX mutant and IL-13 (Fig. 4A).

Fig. 4.

Fig. 4.

TRX selectively recognizes and reduces IL-4. (A) The C35S mutant of recombinant human TRX was incubated with recombinant IL-4 or IL-13, and the resulting protein mixtures were analyzed via nonreducing SDS/PAGE. (B) Steady-state kinetic analysis of TRX-mediated reduction of insulin: a reference substrate of TRX (triangle), IL-4 (circle), and IL-13 (square). In each case, the data points were fitted to the Michaelis–Menten equation. Data are mean ± SEM of two replicates from three independent experiments. (C) TRX-mediated reduction of IL-4 in the absence (black) or presence (red) of an initially equimolar concentration of IL-13. At each time point, the concentration of active IL-4 was measured, and the data were fitted to a first-order rate law. The negative control (gray) contained no TRX. Data are mean ± SEM; n = 3 per group. (D) Direct measurements of IL-4 and IL-13 concentrations of samples withdrawn at 5 min into the experiment corresponding to C. In C and D, the concentrations of IL-4 and IL-13 were measured by ELISA. The antibodies against human IL-4 and IL-13 used for these measurements were specific for oxidized, active IL-4 and IL-13, respectively, and display no cross-reactivity (SI Appendix, Fig. S2). Data are mean ± SEM; n = 3 per group.

To quantify the specificity of TRX for IL-4 versus IL-13, we adopted an established kinetic assay for TRX activity, using insulin as a reference substrate (11). Steady-state kinetic analysis revealed that TRX had significantly higher specificity toward IL-4 than IL-13 (Fig. 4B and Table 1). Kinetic parameters for insulin recognition by TRX were in agreement with previously reported data (11, 26). Notably, to our knowledge, IL-4 appears to be the most preferred extracellular substrate of TRX identified to date.

Table 1.

Kinetic parameters for TRX-promoted reduction of insulin, IL-4, and IL-13

Substrate kcat/KM, µM−1⋅min−1 kcat, min−1 KM, µM
Insulin 2.3 130 56
Interleukin 4 8.1 370 46
Interleukin 13 1.6 110 65

To verify the preference of TRX for IL-4 over IL-13, the TRX-promoted rate of IL-4 deactivation was compared in the presence or absence of an initially equal concentration of IL-13. To simulate physiological conditions, substantially lower cytokine concentrations were employed in these assays than those used for the estimation of kinetic parameters. As predicted, addition of IL-13 had negligible effect on the rate of oxidative deactivation of IL-4 (Fig. 4C). By way of confirmation, the extent of TRX reduction of the two cytokines was directly quantified at 5 min (Fig. 4D), and was found to be in line with the specificity of TRX for IL-4 over IL-13, as measured above.

TRX Reduces the C46–C99 Disulfide Bond in IL-4.

IL-4 contains three disulfide bonds. The high specificity of TRX for IL-4 and the observation of a single adduct between C35S TRX and IL-4 suggested that a unique disulfide of IL-4 was targeted by TRX. Mass spectrometric analysis was therefore used to identify this recognition site (SI Appendix, Scheme S1). As summarized in Table 2, the disulfide bond between C46 and C99 of IL-4 was exclusively reduced by TRX. Given that this disulfide bond is essential for cytokine function (24), our findings suggest that TRX recognition of IL-4 has the potential to be a biologically relevant regulatory mechanism.

Table 2.

Mass spectrometric analysis of the mixed disulfide adduct formed between IL-4 and C35S TRX

Residue IAA, relative intensity IAM, relative intensity
Cys3 0 100
Cys24 0 100
Cys46 12.2 87.8
Cys65 0 100
Cys99 11.2 88.8

Iodoacetic acid (IAA) was used to label free Cys residues when the two proteins were coincubated. Iodoacetamide (IAM) was used to label all other Cys residues following complete reduction of the protein mixture.

TRX Selectively Inactivates the Cytokine Activity of IL-4.

A cellular model was used to assess the biological relevance of the observed protein–protein recognition between IL-4 and TRX. Proliferation of the TF-1 erythroleukemia cell line was evaluated in the presence of TRX. Growth of this cell line requires IL-4, IL-13, or GM-CSF in the culture medium (27). The IC50 of TRX was 50 nM in cultures containing IL-4 whereas, under equivalent conditions, the IC50 of TRX was 2.2 µM in cultures containing IL-13. TRX had no effect on TF-1 cell growth in the presence of GM-CSF (Fig. 5).

Fig. 5.

Fig. 5.

TRX specifically abrogates the cytokine activity of IL-4. TF-1 cells were stimulated with 8 ng/mL IL-4 (red squares), IL-13 (blue circles), or GM-CSF (green triangles), and varying amounts of TRX were added. Viable cells were counted after 48 h by flow cytometry (forward scatter/side scatter). Data are mean ± SEM from two biological replicates with three technical replicates.

TRX Mitigates IL-4–Driven Pathological Conditions in Chronic Pancreatitis.

In light of the above findings in vitro, we sought to assess the pathophysiological relevance of TRX-mediated IL-4 inactivation in vivo. To do so, we took advantage of a recent study highlighting the role of IL-4 signaling in a mouse model of chronic pancreatitis (28).

Chronic pancreatitis is characterized by progressive irreversible damage to the pancreas (29). Some of the key histological features include inflammation, fibrosis, and acinar cell death (30), which in part are promoted by M2 macrophages. Because pharmacological inhibition of the IL-4 receptor decreases these pathological phenotypes and halts chronic pancreatitis progression (28), we used these pathological features as evidence for IL-4 inactivation in vivo. To that end, we first induced chronic pancreatitis in C57BL/6J mice by repetitive injection with cerulein over 4 wk (six injections per d, 3 d/wk). At the beginning of week 3, we initiated dosing of recombinant TRX to diseased mice. Compared with the control group, TRX-treated mice showed a marked reduction in the amount of active, oxidized IL-4 in pancreatic tissue (Fig. 6B). Moreover, TRX treatment limited pancreatic fibrosis, as shown by increased pancreas weight, histology, and decreased fibrosis-associated gene expression (Fig. 6 A and C–H), providing further support for the ability of TRX to inactivate IL-4 in vivo.

Fig. 6.

Fig. 6.

TRX inactivates IL-4 and ameliorates established chronic pancreatitis (CP). Thioredoxin (i.p., 250 mg/kg, two times per d, 3 d/wk) was administered to mice 3 wk after starting CP induction and mice were killed after 4 wk of cerulein injections. (A) Relative pancreas weights from CP- and TRX-treated mice are shown. Means ± SEM; n = 10 per group. (B) ELISA analysis of relative pancreatic tissue at the IL-4 level in control (Con), CP-, and TRX-treated mice are shown. For serum IL-4 levels, see SI Appendix, Fig. S3A. Mouse IL-4 ELISA used for this study can only detect active IL-4 (SI Appendix, Fig. S4). Means ± SEM. (C) Representative pancreatic histological slides by H&E and Trichrome staining. (Scale bar, 100 μm.) More sections included in this study are shown in SI Appendix, Fig. S3B. (D) Quantitative analysis of fibrosis using the images from Trichrome staining. Means ± SEM. (E–H) RT-PCR analysis of αSMA, Col1α1, Fn1, and TGF-β expression in the pancreas of the indicated mice. Means ± SEM; n = 5 per group. ns, not significant.

Discussion

The immune response to danger signals involves a complex orchestration of cells and secreted molecules, and is characterized by an initial response that is amplified by the activation and recruitment of effector cells followed by resolution of the response. In broad terms, two types of immune responses (TH1 and TH2) have been extensively described (31, 32). Macrophages are an essential component of both of these responses, becoming activated in response to tissue microenvironmental signals contributed by microbial components, the innate and adaptive immune systems, and damaged cells and tissues (18). Classically activated (M1) macrophages promote TH1-type inflammatory responses along with strong microbicidal and tumoricidal activity, whereas alternatively activated (M2) macrophages are associated with TH2-type antiinflammatory responses, wound healing, and resolution of inflammation. While substantial progress has been made in defining the molecular networks underlying macrophage polarization, there is considerable interest in the identification of molecules that regulate macrophage polarization.

Two cytokines, IL-4 and IL-13, are the primary regulators of the type 2 immune response (33). Through exogenous administration, overexpression, and knockout studies, these two closely related extracellular proteins have been shown to have overlapping (34–39) but nonredundant (33) roles in immunity. While IL-4 signaling is initiated through both type I and II receptors, IL-13 only signals through binding of type II receptors (20). The two cytokines appear to be differentially regulated, but the underlying mechanisms of differential regulation of immune responses by IL-4 and IL-13 remain poorly understood. The only known way that the two cytokines can exhibit unique effects is through exclusive receptor subunit binding and segregation of expression among different cellular and tissue sources (33). Here we have identified and dissected a redox mechanism that differentially regulates the deactivation of IL-4 versus IL-13. Specifically, extracellular TRX selectively recognizes the C46–C99 disulfide of IL-4, leading to inactivation of its cytokine activity. This posttranslational regulatory mechanism was shown to attenuate macrophage polarization toward an alternatively activated state.

The observed specificity of TRX for IL-4 over IL-13 is unprecedented. In retrospect, the existence of such an endogenous regulatory mechanism should not be surprising, given that experiments involving mice deficient in cytokines, cytokine-producing cells, or receptor subunits have repeatedly shown that IL-4 and IL-13 play distinct roles in allergic immunity in vivo (33). Our work has provided a molecular mechanism by which immune and nonimmune cells can regulate local cytokine concentration and effect.

Finally, in addition to opening a new window to an immune regulatory mechanism in mammals, our findings may also have promise for immunotherapy, given the role of IL-4 in a variety of disease states. A number of preclinical and clinical studies have demonstrated that exogenously administered TRX is generally well-tolerated in mammals (40). By inactivating IL-4 with TRX, we were able to ameliorate pancreatic fibrosis in a mouse model of chronic pancreatitis. More generally, inhibition of IL-4 may also provide a clinical benefit for diseases such as atopic dermatitis, allergic rhinitis, asthma, chronic obstructive pulmonary disease, inflammatory bowel disease, autoimmune disease, and fibrotic disease (19). Thus, administration of TRX could represent a potential alternative approach to monoclonal antibody-based IL-4 inhibition.

Materials and Methods

Chemicals and Other Reagents.

Unless otherwise specified, reagents were from Sigma-Aldrich. DTT was from Invitrogen, SDS/polyacrylamide gradient gels (4 to 20%) were from Bio-Rad, Ni-NTA resin was from Qiagen, the HiTrap Q anion-exchange column was from GE Healthcare, and 7-kDa molecular mass cutoff spin columns were from Pierce. Cell-culture medium, FBS, antibiotics, and sterile PBS were from Invitrogen. Glutamine was from Lonza.

Macrophage Polarization.

The human THP-1 monocytic cell line was maintained in RPMI 1640 culture medium containing 10% heat-inactivated FBS and penicillin/streptomycin. Cells were seeded at 106 cells per mL and differentiated into M0 macrophages by incubation for 48 h in the presence of 100 ng/mL phorbol 12-myristate 13-acetate (P8139; Sigma). These M0 cells were then maintained in the same state for an additional 72 h in RPMI medium. THP-1–derived M0 macrophages were polarized into M1 macrophages by incubation for 36 h with 20 ng/mL IFN-γ (285-IF; R&D Systems) and 1 ng/mL LPS (tlrl-pb5lps; InvivoGen). Alternatively, macrophages were polarized into the M2 state by incubation for 36 h with 20 ng/mL interleukin 4 (I4269; Sigma) or 20 ng/mL interleukin 13 (50-813-223; Fisher). When needed, 33 µM NP161 (a small-molecule inhibitor of TRX) was added.

Luminex Assay.

This multiplexed assay for secreted proteins was performed at the Human Immune Monitoring Center at Stanford University. Human 62-plex was from Affymetrix, and used according to the manufacturer’s recommendations with modifications, as detailed elsewhere (41). Briefly, antibody-linked beads were added to a 96-well plate and washed in a BioTek ELx405 washer. Culture supernatants were added to these wells and incubated at room temperature for 1 h followed by overnight incubation at 4 °C with shaking (500 to 600 rpm on an orbital shaker). Plates were washed in a BioTek ELx405 washer, and the biotinylated detection antibody was added for 75 min at room temperature with shaking. Plates were washed again as above, and streptavidin-phycoerythrin was added. After incubation for 30 min at room temperature, plates were washed once more and reading buffer was added to the wells. Plates were read on a Luminex 200 instrument with a lower bound of 50 beads per sample per cytokine. Each sample was measured in duplicate. Control beads (Radix BioSolutions) were added to all wells.

Cross-Linking of C35S TRX and IL-4 or IL-13.

IL-4 (10 µM) or IL-13 (10 µM) was incubated for 30 min at room temperature with C35S TRX (10 µM) in 20 mM Tris⋅HCl, 1 mM EDTA (pH 7.6). Samples were diluted with 2× Laemmli sample buffer (Bio-Rad) and applied to a nonreducing 4 to 20% SDS/polyacrylamide gel (Bio-Rad).

Thioredoxin Activity Assay.

Before use, recombinant human TRX was freshly reduced with a 10-fold molar excess of DTT on ice. The excess DTT was removed by passing the solution through a 7-kDa molecular mass cutoff spin column. TRX concentration was determined by A280 (ε = 7,570 M−1⋅cm−1), and the protein was freshly used within 2 h. Steady-state kinetic analysis of TRX-mediated reduction of insulin and IL-4 was performed via a coupled assay containing 6 µM TrxR, 10 nM TRX, and 0.3 mM NADPH in a buffer containing 50 mM Tris⋅HCl and 2 mM EDTA (pH 7.5). The reaction rate was calculated from the slope of the absorbance curve at 340 nm, using the extinction coefficient of NADPH (6,220 M−1⋅cm−1). Michaelis–Menten parameters were determined by fitting the kinetic data using GraphPad Prism 6.

IL-4 and IL-13 Competition Assay.

Before use, recombinant human TRX was freshly reduced with a 10-fold molar excess of DTT on ice. The excess DTT was removed by passing the solution through a 7-kDa molecular mass cutoff spin column. TRX concentration was determined by A280 (ε = 7,570 M−1⋅cm−1), and the protein was freshly used within 2 h. Human recombinant IL-4 (200-04) and recombinant IL-13 (200-13) were from PeproTech. Kinetic analysis of TRX-mediated reduction of IL-4 was performed via a coupled assay containing 1 µM TrxR, 5 nM TRX, 60 µM NADPH, 50 nM IL-4, and 50 nM IL-13 in PBS buffer (pH 7.4). The rate of oxidative inactivation of IL-4 was compared with that in the presence of equimolar IL-13 as a competitive substrate. At specific time points, aliquots were withdrawn and diluted 5,000-fold into cold PBS (4 °C). Cytokine concentrations were determined via ELISAs.

Mass Spectrometric Determination of the Target Disulfide Bond in IL-4.

A 60-µL solution containing IL-4 (34 µg, 20 µM) and C35S TRX (26 µg, 20 µM) was incubated for 30 min at room temperature in 20 mM Tris⋅HCl, 1 mM EDTA (pH 7.6). The solution was then diluted with 7.5 µL of 8 M urea in 100 mM NH4HCO3 and incubated with iodoacetic acid (320 µg, 25 mM) for 1 h at room temperature in the dark. The reaction was buffer-exchanged three times on a Zeba desalting column (Thermo Scientific) into 20 mM Tris, 1 mM EDTA, 1 M urea, 12.5 mM NH4HCO3 and then incubated with DTT (93 µg, 10 mM) for 30 min at room temperature. Iodoacetamide (320 µg, 25 mM) was added to the samples and allowed to incubate at room temperature in the dark for 30 min. Reconstituted trypsin solution (20 mg/mL in resuspension buffer; Promega) was added to a final concentration of 6 µg/mL. The samples were digested for 4 h in a 37 °C water bath, after which the digestion was quenched by adding formic acid to a final concentration of 7.5% (vol/vol). Peptides were desalted using C18 StageTips (42), lyophilized overnight, resuspended in 5% formic acid in water, and analyzed by mass spectrometry on an Orbitrap Elite Mass Spectrometer (Thermo Scientific) in data-dependent acquisition mode, where the top 10 peaks per acquisition cycle were selected for collision-induced fragmentation. Peptides were identified by searching the spectra against the human proteome using the SEQUEST algorithm (43), with a false discovery rate cutoff of 1% at the peptide level. The relative amounts of peptides containing Cys3, Cys24, Cys46, Cys65, and Cys99 were determined by integration of their precursor (MS1) peak intensities.

Thioredoxin-Mediated Inhibition Assay.

TF-1 cells (American Type Culture Collection) were cultured in RPMI medium 1640 (Gibco) supplemented with 5% (vol/vol) FBS, 10 mM Hepes, 1 mM sodium pyruvate, and penicillin/streptomycin. TF-1 cells were washed with PBS and seeded at 3 × 105 cells per mL in 96-well plates (0.2 mL per well) in medium supplemented with 8 ng/mL recombinant IL-4, IL-13, or GM-CSF. Cells were incubated with TRX concentrations ranging from 0 nM to 10 µM at 37 °C and 5% CO2 for 48 h. Cells were counted on a BD Accuri C6 Cytometer (BD Biosciences). Data were collected in triplicate and fit to a log(inhibitor) vs. response (three-parameter) equation using GraphPad Prism 6.

Pancreatitis Model and Treatment.

Chronic pancreatitis was induced by repetitive cerulein injections (44). In brief, mice were given six hourly i.p. injections of 50 μg⋅kg−1 body weight of cerulein (Sigma-Aldrich) 3 d/wk for a total of 4 wk. Mice were then killed 3 d after the last cerulein injection, and pancreatic tissues were analyzed. For the TRX therapy, all mice were given cerulein injections 3 d/wk for a total of 4 wk as above, and 3 wk following start of the cerulein injections, mice were either given vehicle control (PBS) or TRX (i.p., 250 mg/kg, two times per d, 3 d/wk for 1 wk) until being killed at the fourth week. The Stanford Institutional Animal Care and Use Committee (IACUC) approved all animal studies, and animals were housed in an Association for Assessment and Accreditation of Laboratory Animal Care (AAALAC)-accredited facility.

Quantitative RT-PCR.

Total RNA was isolated from pancreatic tissue using TRIzol reagent (Invitrogen) according to the manufacturer’s instructions. In brief, cDNA was generated using the GoScript Reverse-Transcription System (Promega). Quantitative PCR was performed with an ABI 7900 Sequence Detection System (Applied Biosystems) using designed specific TaqMan probes and primers as follows: αSMA (forward, 5′-CTCCCTGGAGAAGAGCTACG-3′; reverse, 5′-TGACTCCATCCCAATGAAAG-3′; probe, 5′-AAACGAACGCTTCCGCTGCC-3′); collagen 1A1 (forward, 5′-AGAAGGCCAGTCTGGAGAAA-3′; reverse, 5′-GAGCCCTTGAGACCTCTGAC-3′; probe, 5′-TGCCCTGGGTCCTCCTGGTC-3′); fibronectin (forward, 5′-TGGTGGCCACTAAATACGAA-3′; reverse, 5′-GGAGGGCTAACATTCTCCAG-3′; probe, 5′-CAAGCAGACCAGCCCAGGGA-3′); TGF-β (forward, 5′-CCCTATATTTGGAGCCTGGA-3′; reverse, 5′-CTTGCGACCCACGTAGTAGA-3′; probe, 5′-CCGCAGGCTTTGGAGCCACT-3′); and GAPDH (forward, 5′-TGTGTCCGTCGTGGATCTGA-3′; reverse, 5′-CCTGCTTCACCACCTTCTTGA-3′; probe, 5′-CCGCCTGGAGAAACCTGCCAAGTATG-3′). Samples were normalized to GAPDH and displayed as fold induction over untreated controls, unless otherwise stated.

Statistical Analysis.

Unpaired Student’s t test was used to determine statistical significance between two groups. Values are expressed as mean ± SEM (Prism 7; GraphPad Software).

Supplementary Material

Supplementary File

Acknowledgments

The authors thank E. Arner (Karolinska Institutet) for generously providing the pSUABC plasmid for expression of sel genes (selA, selB, selC) and Yi Wei for technical assistance. The authors acknowledge technical support from the Stanford Human Immune Monitoring Center with the Luminex assay. This research was supported by NIH Grants R01 DK063158 (to C.K.) and R01 DK105263 (to A.H.).

Footnotes

The authors declare no conflict of interest.

This article is a PNAS Direct Submission.

This article contains supporting information online at www.pnas.org/lookup/suppl/doi:10.1073/pnas.1805288115/-/DCSupplemental.

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