HIF1α inhibition facilitates Leflunomide-AHR-CRP signaling to attenuate bone erosion in CRP-aberrant rheumatoid arthritis

Liang, Chao; Li, Jie; Lu, Cheng; Xie, Duoli; Liu, Jin; Zhong, Chuanxin; Wu, Xiaohao; Dai, Rongchen; Zhang, Huarui; Guan, Daogang; Guo, Baosheng; He, Bing; Li, Fangfei; He, Xiaojuan; Zhang, Wandong; Zhang, Bao-Ting; Zhang, Ge; Lu, Aiping

doi:10.1038/s41467-019-12163-z

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Published: 08 October 2019

HIF1α inhibition facilitates Leflunomide-AHR-CRP signaling to attenuate bone erosion in CRP-aberrant rheumatoid arthritis

Chao Liang ORCID: orcid.org/0000-0002-5617-3483^1,2,3^na1^na2,
Jie Li⁴^na1,
Cheng Lu^1,2,3,5^na1,
Duoli Xie^1,2,3,
Jin Liu^1,2,3,
Chuanxin Zhong^1,2,3,
Xiaohao Wu^1,2,3,
Rongchen Dai^1,2,3,
Huarui Zhang^1,2,3,
Daogang Guan^1,2,3,
Baosheng Guo^1,2,3,
Bing He^1,2,3,
Fangfei Li^1,2,3,
Xiaojuan He^1,2,3,5,
Wandong Zhang⁶,
Bao-Ting Zhang⁴^na2,
Ge Zhang^1,2,3^na2 &
…
Aiping Lu^1,2,3,7^na2

Nature Communications volume 10, Article number: 4579 (2019) Cite this article

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An Author Correction to this article was published on 22 June 2020

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Abstract

Rheumatoid arthritis (RA) is a chronic inflammatory disorder characterized by progressive bone erosion. Leflunomide is originally developed to suppress inflammation via its metabolite A77 1726 to attenuate bone erosion. However, distinctive responsiveness to Leflunomide is observed among RA individuals. Here we show that Leflunomide exerts immunosuppression but limited efficacy in RA individuals distinguished by higher serum C-reactive protein (CRP^Higher, CRP^H), whereas the others with satisfactory responsiveness to Leflunomide show lower CRP (CRP^Lower, CRP^L). CRP inhibition decreases bone erosion in arthritic rats. Besides the immunomodulation via A77 1726, Leflunomide itself induces AHR-ARNT interaction to inhibit hepatic CRP production and attenuate bone erosion in CRP^L arthritic rats. Nevertheless, high CRP in CRP^H rats upregulates HIF1α, which competes with AHR for ARNT association and interferes Leflunomide-AHR-CRP signaling. Hepatocyte-specific HIF1α deletion or a HIF1α inhibitor Acriflavine re-activates Leflunomide-AHR-CRP signaling to inhibit bone erosion. This study presents a precision medicine-based therapeutic strategy for RA.

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Introduction

Rheumatoid arthritis (RA) is an autoimmune disease characterized by inflammatory synovial hyperplasia, stiffness, progressive bone erosion and systemic features. Progressive bone erosion is a prominent determinant of functional impairment of joints in RA¹. Currently, a range of treatment options including conventional and biologic antirheumatic drugs are available^2,3. However, none of them is universally effective^4,5. Understanding the mechanisms underlying the non-responses of these drugs will provide new insight into development of precision medicine-based therapeutic strategy for RA⁵.

During RA development, multiple immune cells and cytokines are organized within a hierarchical regulatory network that favors osteoclast-mediated bone erosion⁶. Leflunomide has been widely used in RA treatment and the well-known mechanism is immunomodulation via its metabolite A77 1726⁷. Briefly, Leflunomide is converted to A77 1726 in intestinal wall and liver after oral administration. A77 1726 inhibits mitochondrial dihydro-orotate dehydrogenase (DHODH) required for proliferation of immune cells, resulting in attenuation of inflammation-induced bone erosion⁸. However, only 40–50% RA patients receiving Leflunomide meet 20% reduction in disease activity according to American College of Rheumatology response criteria⁹.

In this study, we classified RA patients treated with Leflunomide based on presence of progressive bone erosion (PBE-positive, PBE+) or not (PBE-negative, PBE−). Interestingly, Leflunomide significantly inhibited inflammation in both PBE− and PBE+ patients, suggesting the limited efficacy of Leflunomide in attenuating bone erosion in PBE+ patients were not coupled with its immunomodulatory action. The PBE+ patients had higher serum C-reactive protein (CRP^Higher, CRP^H), whereas the PBE- patients showed relatively lower serum CRP (CRP^Lower, CRP^L). Studies have demonstrated that CRP of hepatic origin is involved in osteoclastogenesis^10,11. We found that high CRP in CRP^H patients was positively correlated with increased bone resorption. Data from collagen-induced-arthritis (CIA) animal models was consistent with the above findings from RA patients.

Inhibition of CRP by anti-CRP antibodies or liver-targeted siRNA delivery systems¹² led to attenuated bone erosion in CRP^H CIA rats. CRP expression is under the negative regulation of aryl hydrocarbon receptor (AHR) genomic signaling¹³, which requires binding with AHR nuclear translocator (ARNT) for activation upon stimulation of agonists¹⁴. Accumulating evidences suggest that Leflunomide could be an AHR agonist¹⁵. We showed that Leflunomide, rather than A77 1726, significantly induced binding of ARNT with AHR to inhibit CRP expression in normal hepatocytes, but not in hepatocytes overexpressing CRP in vitro. Besides the well-known immunomodulatory action via A77 1726, Leflunomide itself activated AHR-CRP signaling and then attenuated bone erosion in CRP^L CIA rats but not in CRP^H CIA rats.

Hypoxia-inducible factor 1α (HIF1α) has been reported to compete with AHR for ARNT association¹⁶. We found that CRP upregulated HIF1α expression, which competed with AHR for ARNT association and interfered Leflunomide-AHR-CRP signaling in CRP^H CIA rats. Knockdown of HIF1α re-activated Leflunomide-AHR-CRP signaling in hepatocytes overexpressing CRP in vitro. Hepatocyte-specific deletion of HIF1α improved the Leflunomide-AHR-CRP signaling to inhibit bone erosion in CRP^H CIA mice. Acriflavine (ACF), a FDA-approved drug, has been reported as a selective inhibitor targeting HIF1α¹⁷. We showed that ACF decreased binding of ARNT with HIF1α and facilitated Leflunomide activating AHR to inhibit CRP production and attenuate bone erosion in CRP^H CIA rats with no obvious toxicity.

In summary, this study reveals that CRP-HIF1α signaling axis is responsible for the limited efficacy of Leflunomide in CRP^H RA. On the basis of this finding, we develop a precision medicine-based therapeutic strategy for CRP^H RA, i.e., the combination of Leflunomide and ACF.

Results

Limited efficacy of Leflunomide in CRP^H RA patients

We reviewed radiographic data of 250 RA patients treated with Leflunomide (Supplementary Table 1). Leflunomide significantly attenuated progressive bone erosion in 130 RA patients (PBE−) but showed limited efficacy in the rest 120 RA patients (PBE+) (Fig. 1a, b). However, inhibition of DHODH activity and proliferation of immune cells (T and B lymphocytes and macrophages) were comparable between PBE− and PBE+ patients. Cytokines produced by immune cells and inflammatory synovial fibroblasts including Interleukin-17 (IL-17), Interleukin-6 (IL-6), and receptor activator of nuclear factor kappa-Β ligand (RANKL)¹⁸ also showed no difference between the two RA groups (Fig. 1c and Supplementary Fig. 1a). We determined the associations between PBE + patients and serum baseline blood indicators including rheumatoid factors (IGM, IGG and IGA), CRP, anti-cyclic citrullinated peptide (anti-CCP) antibody and erythrocyte sedimentation rate (ESR)¹⁹. Serum CRP showed high specificity and sensitivity for PBE+ RA patients and the diagnostic accuracy was above 92% (Fig. 1d, Supplementary Fig. 1b and Supplementary Table 2). The PBE+ patients demonstrated higher levels of serum baseline CRP (CRP^H) and a bone resorption marker (tartrate-resistant acid phosphatase 5b, TRAP5b)²⁰, whereas the PBE− patients showed relatively lower CRP (CRP^L) and TRAP5b (Fig. 1e). During Leflunomide treatment, serum levels of both CRP and TRAP5b were significantly inhibited in CRP^L but not in CRP^H patients (Fig. 1f). Serum CRP, rather than other indicators, was positively associated with TRAP5b in CRP^H RA patients (Fig. 1g and Supplementary Fig. 1c). Role of CRP in osteoclastogenesis are conformation- and RANKL-dependent. Circulating native CRP is composed of five identical subunits and dissociates into the monomeric conformation upon entering local lesions²¹. Monomeric CRP promotes osteoclast differentiation in the absence of RANKL but inhibits RANKL-induced osteoclastic differentiation by neutralizing RANKL¹¹. We quantified the baseline monomeric CRP and RANKL in synovial fluid from RA patients. Molar concentration of monomeric CRP was over 10,000-fold of RANKL in both CRP^L and CRP^H RA patients (Supplementary Fig. 1d), suggesting that the monomeric CRP in the two groups of RA patients was enough to neutralizing RANKL and the redundant free monomeric CRP would dominate osteoclastic activities in RA.

Limited efficacy of Leflunomide in CRP^H CIA rats

We established CIA rat models and administered the CIA rats with Leflunomide for 28 days (Supplementary Fig. 2a). The CIA rats were also classified into PBE+ and PBE− subgroups based on microCT analysis (Fig. 2a). We observed the progressively deteriorated bone microarchitecture and decreased bone mass in PBE+ rats rather than in PBE− rats after Leflunomide treatment (Fig. 2a and Supplementary Fig. 2b). Inhibition of DHODH activity and proliferation of immune cells (T and B lymphocytes and macrophages), as well as decrease of cytokines (IL-17, IL-6 and RANKL) were comparable between PBE− and PBE+ rats (Fig. 2b and Supplementary Fig. 2c). Inflammatory synovial hyperplasia was inhibited by Leflunomide in both PBE− and PBE+ rats (Supplementary Fig. 2d). The PBE+ rats demonstrated higher serum baseline CRP (CRP^H, 91.24 ± 10.12 mg L⁻¹) and TRAP5b, whereas the PBE− patients showed relatively lower CRP (CRP^L, 52.45 ± 7.54 mg L⁻¹) and TRAP5b (Fig. 2c). Leflunomide decreased serum CRP and TRAP5b levels and inhibited bone resorption and osteoclastic activity in CRP^L rats but not in CRP^H rats (Fig. 2d, e, Supplementary Fig. 2d). We investigated the mechanism underlying the distinctive CRP levels between the two groups of RA individuals. IL-6 axis was the chief inducer of CRP expression in hepatocytes²². We found that serum IL-6 were comparable between CRP^L and CRP^H rats (Supplementary Fig. 2c), while IL-6 receptor (IL-6R) in liver was differentially expressed between the two groups (Supplementary Fig. 2e).

Attenuation of bone erosion by CRP inhibition in CIA rats

The CRP^H CIA rats were intra-articularly injected with PBS (vehicle), IgG controls or anti-CRP antibodies (Supplementary Fig. 3a). The anti-CRP antibodies attenuated bone erosion and bone resorption and prevented bone loss in CRP^H rats when compared to IgG or PBS (Supplementary Fig. 3b–d). We also used an RNA interference-based strategy to inhibit hepatic CRP expression in CRP^H CIA rats. Lipid nanoparticles (LNPs) has been proven as liver-targeted delivery systems for siRNAs in vivo^23,24. The CRP^H CIA rats were intravenously administrated with PBS (vehicle), LNPs, LNPs encapsulating negative control siRNA (LNPs-NC siRNA) or LNPs encapsulating CRP siRNA (LNPs-CRP siRNA) (Supplementary Fig. 3e). About 90% of the administered dose of LNPs-siRNA was found in liver (Supplementary Table 3). LNPs-CRP siRNA lowered CRP expression in hepatocytes, attenuated bone erosion and bone resorption and prevented bone loss in CRP^H rats when compared to PBS, LNPs or LNPs-NC siRNA (Supplementary Fig. 3f–i). We determined whether CRP knockdown by LNPs-siRNA could abrogate the differential responsiveness to Leflunomide between CRP^H and CRP^L CIA rats. Our results showed that Leflunomide in combination with LNPs-siRNA effectively attenuated bone erosion in CRP^H CIA rats. The therapeutic efficacy of the combination in CRP^H CIA rats was equivalent with that of Leflunomide in CRP^L CIA rats (Supplementary Fig. 4a–d). We also examined the effects of anti-CRP antibodies in CRP^L CIA rats. The anti-CRP antibodies partially mimic the therapeutic efficacy of Leflunomide in attenuating bone erosion (Supplementary Fig. 4e–h).

Direct interaction between Leflunomide and AHR

AHR genomic signaling plays an essential role in controlling hepatic CRP production¹³. Upon stimulation with agonists, AHR binds to ARNT to inhibit CRP expression^13,14,25. Accumulating evidence suggests that Leflunomide, rather than its metabolite A77 1726, could be an AHR agonist²⁶. To confirm the direct interaction between Leflunomide and AHR, we incubated Flag-tagged AHR (Flag-AHR) with DMSO (vehicle), Leflunomide and A77 1726, respectively. After pull-down assay, we detected that AHR interacted with Leflunomide rather than A77 1726 (Fig. 3a). To identify the key residues involved in Leflunomide-AHR interaction, we conducted homology modeling of AHR PAS-A and PAS-B domains, which are required for dimerization with ARNT and interaction with agonists¹⁴. The optimal structure was chosen for molecular docking with Leflunomide (Supplementary Fig. 5a). Six binding modes were predicted (Supplementary Fig. 5b). Key residues in the best two binding modes including H291, K303, and V381 were chosen for mutation (Supplementary Table 4). Mutation of either H291 or K303 decreased the binding between Leflunomide and AHR, whereas mutation of V381 could not affect Leflunomide-AHR interaction. Mutation of both H291 and K303 resulted in a more significant decrease in Leflunomide-AHR interaction (Fig. 3b). We further conducted drug affinity responsive target stability (DARTS) assay to confirm the binding between AHR and Leflunomide. DARTS assay relies on the protection against proteolysis of the target proteins conferred by the interaction with small molecular drugs²⁷. Flag-AHR, Flag-AHR mutants and BSA were incubated with Leflunomide or DMSO (vehicle), followed by digestion with proteases (subtilisin), respectively (Supplementary Fig. 6a). Mutation of either H291 or K303 rather than V381 significantly decreased the stability of AHR conferred by the interaction with Leflunomide, suggesting that both H291 and K303 participated in the interaction between Leflunomide and AHR. Mutation of both H291 and K303 lead to synergetic reduction of AHR stability conferred by the interaction with Leflunomide (Supplementary Fig. 6b).

Leflunomide-AHR-CRP signaling in hepatocytes

Human normal hepatocyte cell line (THLE-2) was incubated with DMSO (vehicle), Leflunomide and A77 1726, respectively. Immunoprecipitation analysis showed that Leflunomide, rather than A77 1726, induced binding of AHR with ARNT in a dose-dependent manner (Fig. 3c). Level of CRP expression and release were significantly decreased by Leflunomide but not by A77 1726 (Fig. 3d). After AHR knockdown, Leflunomide could not decrease CRP expression and release (Supplementary Fig. 6c, d). Leflunomide is mainly metabolized to A77 1726 by a cytochrome P450 1A2 enzyme (CYP1A2)²⁸. Furafylline, a specific inhibitor of CYP1A2, could suppress metabolism of Leflunomide²⁸. We incubated human normal primary hepatocytes with Leflunomide in the presence of Furafylline or not. Leflunomide induced binding of AHR with ARNT and decreased CRP expression and release. Stabilization of Leflunomide via inhibition of its metabolism by Furafylline further enhanced AHR-ARNT interaction and CRP inhibition (Supplementary Fig. 6e, f). All the above results demonstrated that Leflunomide itself but not A77 1726 induced AHR genomic signaling to inhibit CRP expression in normal hepatocytes in vitro. In addition to the genomic signaling, AHR also functions through nongenomic pathways, which is independent of AHR-ARNT interaction²⁹. Some ligands have been reported to trigger AHR nongenomic pathways to regulate activities of certain proteins, such as Src, JunD, and cyclin A^29,30. Leflunomide had no effects on expression of JunD and cyclin A and Src activation (phosphorylation of Src) in THLE-2 cells (Supplementary Fig. 6g), indicating that Leflunomide specifically induced AHR genomic signaling in normal hepatocytes. To examine whether Leflunomide induced AHR genomic signaling to inhibit CRP in hepatocytes overexpressing CRP, THLE-2 cells were pretreated with IL-6 to induce overexpression of CRP²². Leflunomide showed weak ability in induction of AHR-ARNT interaction in THLE-2 cells overexpressing CRP. Knockdown of CRP recovered the ability of Leflunomide in induction of AHR-ARNT interaction (Fig. 3e). Leflunomide could not inhibit CRP expression and release in THLE-2 cells overexpressing CRP (Fig. 3f).

Inhibition of CRP and bone erosion by Leflunomide itself

Both CRP^L and CRP^H CIA rats were orally administered with vehicle, Leflunomide and A77 1726, respectively (Supplementary Fig. 7a). Levels of serum CRP and TRAP5b were lower in CRP^L rats treated with Leflunomide than those treated with A77 1726 (Supplementary Fig. 7b). Inhibition of bone resorption and bone loss by Leflunomide was more significant in CRP^L rats when compared to A77 1726 (Supplementary Fig. 7c, d). In contrast, Leflunomide could not significantly decrease CRP, bone resorption and bone loss in CRP^H rats when compared to A77 1726 (Supplementary Fig. 7e-g). These results, together with the above data, leading us to postulate that besides the well-known immunomodulatory action of Leflunomide via A77 1726, Leflunomide itself could activate AHR genomic signaling to inhibit CRP production and then attenuate bone erosion in CRP^L RA, whereas the Leflunomide-AHR-CRP signaling was dysfunctional in CRP^H RA (Fig. 3g).

HIF1α-induced dysfunction of Leflunomide-AHR-CRP signaling

HIF1α has been reported to compete with AHR for ARNT association³¹. We examined the level of HIF1α in hepatocytes from non-immunized, CRP^L and CRP^H CIA rats. CRP^L rats had slightly elevated HIF1α expression when compared to non-immunized rats, while HIF1α level in CRP^H rats was significantly increased (Fig. 4a). There was a positive association between CRP and HIF1α expression in both CRP^L and CRP^H rats (Supplementary Fig. 8a). In addition, CRP inhibition by LNPs-CRP siRNA led to a reduction of HIF1α expression in hepatocytes from CRP^H rats (Supplementary Fig. 8b). We manipulated CRP by siRNA or overexpressing vectors in THLE-2 cells in vitro. Knockdown of CRP decreased HIF1α expression and binding of ARNT with HIF1α (Fig. 4b, c, Supplementary Fig. 8c). THLE-2 cells with CRP overexpression showed increase of HIF1α and binding of ARNT with HIF1α (Fig. 4d, e, Supplementary Fig. 8d). We examined AHR genomic signaling stimulated by Leflunomide in THLE-2 cells transfected with CRP siRNA or overexpressing vectors. Knockdown of CRP enhanced AHR-ARNT interaction, whereas CRP overexpression reduced the interaction between ARNT and AHR in THLE-2 cells upon Leflunomide stimulation (Fig. 4f, g). Binding of AHR with ARNT and inhibition of CRP expression induced by Leflunomide was remarkable in hepatocytes from CRP^L CIA rats but insignificant in hepatocytes from CRP^H CIA rats (Supplementary Fig. 8e, f). We concluded that high expression of CRP could trigger upregulation of HIF1α, which competed with AHR for ARNT association, leading to the dysfunction of Leflunomide-AHR-CRP signaling in CRP^H RA (Fig. 4h). We determined whether knockdown of HIF1α could improve Leflunomide-AHR-CRP signaling in THLE-2 cells overexpressing CRP in vitro. Knockdown of HIF1α decreased the binding of ARNT with HIF1α (Fig. 4i). HIF1α siRNA alone had not effects on AHR-ARNT interaction and CRP level(Fig. 4j, k). However, HIF1α siRNA in combination with Leflunomide effectively enhanced AHR genomic signaling and CRP inhibition (Fig. 4j, k), suggesting that inhibition of HIF1α could facilitate Leflunomide activating AHR to inhibit CRP expression in hepatocytes in CRP^H RA.

Limited efficacy of Leflunomide in CRP^H CIA mice

DBA/1 mice with CIA were administered with Leflunomide for 28 days (Supplementary Fig. 9a). The mice were also classified into PBE+ and PBE− subgroups based on microCT analysis. The deteriorated bone microarchitecture was observed in PBE+ CIA mice rather than in PBE− CIA mice after Leflunomide treatment (Supplementary Fig. 9b). Inhibition of DHODH activity and proliferation of immune cells (T and B lymphocytes and macrophages), as well as decrease of cytokines (IL-17, IL-6, and RANKL) were comparable between PBE− and PBE+ mice (Supplementary Fig. 9c). The PBE + mice demonstrated higher serum baseline CRP (CRP^H, 34.67 ± 5.41 mg L⁻¹) and TRAP5b, whereas the PBE- mice showed relatively lower CRP (CRP^L, 17.70 ± 3.25 mg L⁻¹) and TRAP5b (Supplementary Fig. 9d). Leflunomide decreased levels of serum CRP and TRAP5b and inhibited bone resorption in CRP^L mice but not in CRP^H mice (Supplementary Fig. 9e, f).

Re-activation of Leflunomide by hepatic HIF1α deletion

HIF1α^loxP/loxP mice were bred to Alb-cre mice to generate hepatocyte-specific HIF1α knockout (HIF1α-HKO) mice (Supplementary Fig. 10a, b). Serum CRP level was comparable between HIF1α-HKO and control (HIF1α^loxP/loxP) mice (Supplementary Fig. 10c), suggesting that HIF1α could not affect CRP expression in hepatocytes in vivo. CIA was established in both HIF1α-HKO and control mice. They were classified into subgroups based on the above established reference range of CRP for CRP^L (17.70 ± 3.25 mg L⁻¹) and CRP^H CIA mice (34.67 ± 5.41 mg L⁻¹). After Leflunomide treatment, we observed the attenuated bone erosion in CRP^L but not in CRP^H control mice. However, both CRP^L and CRP^H HIF1α-HKO mice demonstrated satisfactory response to Leflunomide in attenuating bone erosion (Supplementary Fig. 10d, e). Inhibition of inflammatory synovial hyperplasia by Leflunomide in CRP^L and CRP^H subgroups was comparable for both control and HIF1α-HKO CIA rats (Supplementary Fig. 10f). Leflunomide decreased CRP and TRAP5b and inhibited osteoclastic activity and bone resorption in CRP^L but not in CRP^H control mice, while decrease of CRP and TRAP5b and inhibition of osteoclastic activity and bone resorption by Leflunomide were significant in both CRP^L and CRP^H HIF1α-HKO CIA rats (Supplementary Fig. 10g-i). All the above data suggested that HIF1α in hepatocyte was a molecular target for re-activating Leflunomide inhibiting CRP and bone erosion in CRP^H RA.

Re-activation of Leflunomide-AHR-CRP signaling by ACF

THLE-2 cells overexpressing CRP were treated with DMSO (vehicle) or a HIF1α inhibitor ACF³². ACF reduced binding of ARNT with HIF1α and downregulated the most classical target gene of HIF1α-ARNT signaling, i.e., vascular endothelial growth factor (VEGF)³³ (Fig. 5a). THLE-2 cells overexpressing CRP were incubated with DMSO (vehicle), Leflunomide, ACF and combination of Leflunomide and ACF, respectively. The combination of Leflunomide and ACF enhanced binding of ARNT with AHR and reduced CRP expression and release when compared to Leflunomide or ACF alone (Fig. 5b, c). We collected the conditioned mediums from the above treatment groups and incubated the monocytes with the conditioned mediums in the presence of macrophage colony stimulating factor (M-CSF) (Fig. 5d). Osteoclast differentiation were inhibited in monocytes treated with conditioned medium from the combination of Leflunomide and ACF, but not in those cells treated with conditioned medium from Leflunomide or ACF alone group (Fig. 5e–g). These results demonstrated that ACF facilitated Leflunomide activating AHR to suppress CRP expression and decrease osteoclast differentiation in vitro.

Decrease of bone erosion by Leflunomide combined with ACF

To investigate whether ACF facilitated Leflunomide decreasing CRP production and attenuating bone erosion in CRP^H CIA rats, CRP^H rats were administrated with vehicle, Leflunomide, ACF and the combination of Leflunomide and ACF, respectively (Fig. 6a). CRP^H rats administered with the combination of Leflunomide and ACF showed reduced serum CRP, attenuated bone erosion and bone resorption and prevented bone loss, whereas no obvious decrease of CRP and bone erosion were observed in CRP^H rats administered with Leflunomide or ACF alone (Fig. 6b–e and Supplementary Fig. 11). Leflunomide or the combination of Leflunomide and ACF attenuated inflammatory synovial hyperplasia in CRP^H CIA rats (Supplementary Fig. 11). There was no significant change in liver function parameters including alanine aminotransferase (ALT), asporatate aminotransferase (AST), a kidney function parameter blood urea nitrogen (BUN) and hematology parameters including total protein (TP), hemoglobin, white blood cell (WBC), red blood cell (RBC), and platelet (PLT) in CRP^H CIA rats treated with the combination of Leflunomide and ACF when compared to Leflunomide or ACF alone (Supplementary Table 5).

Discussion

In our study, we found that Leflunomide exerts significant immunosuppression but limited efficacy in attenuating bone erosion in RA individuals (PBE+) distinguished by higher serum CRP (CRP^H). whereas the others (PBE−) with satisfactory responsiveness to Leflunomide show relatively lower serum CRP (CRP^L).

The exact role of CRP in RA has been an unsettled dispute for a long time. No human study to date has directly investigated the contribution of CRP in RA, and animal studies performed so far have shown mixed results. CRP has been reported to induce prolonged inflammation in arthritic rabbits and directly promote osteoclastogenesis^10,34, indicating that CRP makes a detrimental contribution to RA. However, transgenic expression of human and rabbit CRP has been shown to inhibit CIA development^35,36, while knockout of CRP exacerbates CIA and bone damage^11,35, suggesting that CRP plays a protective role in RA. In our study, we demonstrate the detrimental function of CRP in CIA rats by inhibition of CRP with anti-CRP antibodies or liver-targeted LNPs-CRP siRNA. We compare the above studies which seem to draw incompatible conclusions about the role of CRP in RA. Regarding the studies demonstrating the protective role of CRP in RA^11,35,36, CRP expression is manipulated prior to arthritic induction in genetic models (CRP transgenic and knockout mice). For our work and other studies demonstrating the detrimental role of CRP in RA³⁴, however, CRP level is influenced after arthritic induction in CIA models. The above studies actually reveal the different roles of CRP in distinct stages of RA development (early induction stage versus late active stage). Together, they suggest that CRP may have double-faced functions in RA. CRP may confer benefit during the early induction phase of RA but play a detrimental role during active RA, which is consistent with the assumption in one of the above study³⁵.

Previously, Kim et al. report that CRP promotes osteoclastic activities via FcγRs signaling with the absence of RANKL¹⁰, while Cho et al. show that CRP inhibits RANKL-induced osteoclastic activities in vitro³⁷. Recently, Jia et al. suggest that CRP regulates osteoclastic differentiation in conformation- and RANKL-dependent manners¹¹. Circulating native CRP is composed of five identical subunits but dissociates into the monomeric conformation upon entering local lesions²¹. Jia et al. show that monomeric CRP could induce osteoclastic differentiation with the absence of RANKL in vitro¹¹, which is consistent with Kim’s report¹⁰. However, Jia et al. also demonstrate that monomeric CRP inhibits RANKL-induced osteoclastic differentiation by neutralizing RANKL in vitro¹¹, which is consistent and accounts for Cho’s findings³⁷. Jia et al. further explain that native CRP is inefficient for osteoclastic activity in vitro but the prolonged incubation time (3–21 days) in cell culture would favor the conversion of native CRP to monomeric CRP¹¹, suggesting that in both Kim and Cho’s studies, CRP regulates osteoclastic activity actually via the monomeric conformation, as they incubate cells with CRP for 3–21 days and 3–5 days, respectively^10,37. Based on these studies, we think whether CRP promotes or inhibits osteoclastic activities in vivo may be dependent on ratio of monomeric CRP to RANKL. We find that molar concentration of the monomeric CRP is over 10,000-fold of RANKL in both CRP^L and CRP^H RA patients, indicating that the monomeric CRP is enough to neutralizing RANKL and the redundant free monomeric CRP would dominate osteoclastic activities in RA.

Previously, pertinent publications frequently reiterate that mouse CRP is a trace protein and serum levels of CRP in mice are markedly lower than in humans and rabbits, <3 mg mL⁻¹ even after inflammatory stimuli^36,38. However, recent studies argue that such statements are not convincing as they either refer to review articles devoid of experimental data or an early publication, which fails to detect any mouse CRP using sheep anti-human CRP antibodies cross-reacting with mouse CRP before acute phase induction^39,40. To date, reliable reagents specific for mouse have become available and studies suggest that serum CRP levels may be vastly underestimated^40,41. High serum CRP levels ranging from 5 mg mL⁻¹ to 50 mg mL⁻¹ have been determined in different mouse models^{40,42,43,44,45,46}, which are consistent with our results.

In our work, Sprague-Dawley (SD) rats and DBA/1 mice are used for establishment of CIA, as they are common animal models for exploring the pathogenic mechanism of RA and therapeutic action of anti-arthritic agents⁴⁷. SD rat is an outbred strain and DBA/1 mouse is an inbred strain^48,49. We find the large variations of serum CRP levels in both SD rats and DBA/1 mice, which are the basis for classification of CIA models into CRP^L and CRP^H subgroups. For many decades, inbred rats and mice are preferred over outbred strains because it is assumed that they display lower levels of variations due to their greater homogeneity⁵⁰. However, very few studies with adequate sample sizes have in fact compared phenotypic variations between inbred strains and outbred strains⁵¹. Surprisingly, recent reports suggest that inbred and outbred animals show comparable phenotypic variations^50,51,52. On one hand, they conclude that outbred animals could be widely adopted as research subjects like inbred animals. On the other hand, it could not be ignored that the coefficients of variation vary in large ranges for both of them⁵⁰. We review other studies, which also show large variations of serum CRP^42,43,44. In our previous work, we also demonstrate the large variations of other proteins in signaling pathways⁵³. Even though the large variations of proteins in established animal models seem to differ from the common sense and the underlying reasons are still unknown, the variations could be used for explaining non-response of therapeutics in human disease⁵³.

Methods

Characteristics of RA patients treated with Leflunomide

250 RA patients (150 women and 100 men) were treated with Leflunomide. The characteristics of the patients before treatment were shown in Supplementary Table 1. The patients with other diseases or medication, including calcium supplements and postmenopausal hormone replacement therapy, that might affect bone remodeling, were excluded from the study. Female patients who were postmenopausal for fewer than 5 years were also excluded from the study. Informed consent was obtained from all patients. The study was approved by the Ethics Committee in Institute of Basic Research in Clinical medicine, China Academy of Chinese Medical Sciences (CACMS). All the included RA patients were orally administrated with Leflunomide for 12 months. The serum from all the RA patients was collected before and after treatment. The anteroposterior plain radiographs of hands were taken before and after treatment.

Radiological evaluation by modified Sharp’s method

The anteroposterior plain radiographs of the hands were read and evaluated by two different qualified doctors. The reader of the radiographs was blind to the order of the radiographs and the clinical details of the RA patients. The erosion score per joint of the hands was performed according to the modified Sharp’s score system. Briefly, the erosions for 32 joints of both hands were evaluated based on a 6-points scale (scale 0–5): Erosions were scored 0 if there was no erosion. Erosions were scored 1 if they were discrete but clearly present and 2 or 3 if they were larger, depending on the surface area of the joint involved. A score of 3 was given if the erosion was large and extends over the imaginary middle of the bone. A score of 5 was given if a complete collapse of the joint was present or if the full surface of the joint is affected⁵⁴.

Cell culture

Human normal hepatocyte cell line THLE-2 (ATCC, CRL-2706) was cultured at 37 °C in a humidified environment containing 5% CO₂ and 20% O₂ in bronchial epithelial cell basal medium and additives (BEGM from Lonza/Clonetics Corporation, USA, BEGM Bullet Kit). Medium was changed every two days after enzymatic dissociation and centrifugation at 300 × g for 5 min. No mycoplasma contamination was confirmed for the cell line. There was no commonly misidentified cell line used in this study. THLE-2 cells (2 × 10⁵ cells per well) were incubated overnight. For knockdown of CRP or AHR, the cells were transfected with specific siRNAs or NC siRNA using X-tremeGENE™ siRNA Transfection Reagent (Roche Life Science). The siRNAs against AHR and HIF1α and NC siRNA were from Thermo Fisher Scientific. The siRNA against CRP and NC siRNA were from Santa Cruz Biotechnology. For vector-induced overexpression of CRP, human CRP cDNA was PCR amplified using the primers: 5′-TGAATTCAGGCCCTTGTATC-3′ (sense) and 5′-TCCCAGCATAGTTAACGAGC-3′ (antisense). The complete nucleotide sequence of CRP was cloned into the mammalian expression vector pcDNA3.1 (Invitrogen) and confirmed by DNA sequencing. THLE-2 cells were transfected with pcDNA3.1 vector overexpressing CRP or empty vectors using X-tremeGENE^™ HP DNA Transfection Reagent (Roche Life Science). After the transfection, the cells were continuously cultured for another 36 h. Small molecules at the indicated concentrations was added in the cells for 24 h. For IL-6-stimulated overexpression of CRP, the cells were pretreated with human recombinant IL-6 (50.0 ng mL⁻¹, R&D Systems) for 8 h. For hypoxic treatment, cells were exposed to 5% CO₂ and 1% O₂ for 16 h. Leflunomide, A77 1726, Furafylline and ACF were from Sigma-Aldrich.

Expression and purification of Flag-tagged proteins

Site mutations in AHR (H291A, K303A, V381A, and H291A/K303A) were made by the QuikChange site-directed mutagenesis kit (Agilent Technologies). AHR or the mutants was cloned into Flag-tagged mammalian expression vector pcDNA3.1 (Addgene). The vectors were confirmed by direct DNA sequencing and transfected into THLE-2 cells using X-tremeGENE^™ HP DNA Transfection Reagent (Roche Life Science). After transfection, the cells were continuously cultured for another 36 h. Flag-AHR and the mutants were purified by a FLAG® M purification kit (Sigma-Aldrich).

Immunoprecipitation and western blots

Cell lysates were prepared in HEPES lysis buffer (20 mM HEPES pH 7.2, 50 mM NaCl, 0.5% Triton X-100, 1 mM NaF, 1 mM dithiothreitol) supplemented with protease inhibitor cocktail (Roche Life Science) and phosphatase inhibitors (10 mM NaF and 1 mM Na3VO4). Immunoprecipitation was performed using primary antibodies and protein A/G-agarose (Santa Cruz Biotechnology) at 4 °C. For western blots, protein samples were separated by sodium dodecyl sulfate-polyacrylamide gel electrophoresis and transferred onto PVDF membranes (Bio-Rad). After blocking, the membranes were probed with primary antibodies and then incubated with specific horseradish peroxidase-conjugated secondary antibodies (Bio-Rad). Immunodetection was performed using enhanced chemiluminescence (Thermo Fisher Scientific). β-actin was used as a loading control for internal correction. The primary antibodies included an anti-AHR antibody (ab2769, 1: 500), an anti-ARNT antibody (ab5624, 1: 500), an anti-HIF1α (ab1, 1: 200) antibody, an anti-CRP antibody (ab50861, 1: 2000), an anti-VEGFA antibody (ab46154, 1: 1000), an anti-JunD antibody (ab28837, 1: 500), an anti-cyclin A antibody (ab181591, 1: 2000), an anti-Src antibody (ab47405, 1: 500), an anti-Src (phospho Y418) antibody (ab4816, 1: 1000) and an anti-β-actin (ab8226, 1: 10000) antibody from Abcam. Antibodies were validated for the specific species and application in pilot studies. All relevant uncropped blots are available in the Source Data file.

Isolation of lymphocytes and macrophages

The synovial fluid was obtained from RA patients, CIA rats and mice. T lymphocytes were isolated by EasySep™ T Cell Isolation Kits (STEMCELL Technologies Inc.). B lymphocytes were isolated by EasySep™ B Cell Isolation Kits (STEMCELL Technologies Inc.). The purity of T and B lymphocytes as determined by flow cytometry was approximately 90–95%. Macrophages were isolated by flow cytometry using an anti-CD14 antibody (17000-1-AP, 1: 100, Proteintech Group, Inc).

DHODH activity assay

The assay comprised enzymatic reaction of DHODH with dihydroorotic acid (DHO) substrate, followed by fluorescence detection specific for orotic acid using the 4-trifluoromethyl-benzamidoxime (4-TFMBAO) fluorogenic reagent⁵⁵. Briefly, 3 × 10⁵ lymphocytes were lysed by sonication for 10 min at 4 °C. Lysates were incubated with 1.0 ml aqueous solution containing 500 μM DHO, 200 mM K₂CO₃-HCl (pH 8.0), 0.2% Triton X-100 and 100 μM coenzyme Q10 at 37 °C for 1 h. Hundred microliter aliquot was mixed with 150 μL H₂O, 250 μL of 4.0 mM 4-TFMBAO, 250 μL of 8.0 mM K₃[Fe(CN)₆] and 250 μL of 40 mM K₂CO₃ (pH 11) and then heated at 80 °C for 4.0 min. The reaction was stopped by cooling in an ice-water bath and the intensity was measured with a spectrofluorometer. Excitation and emission wavelengths were 340 nm and 460 nm, respectively. For the calculation of the production, the preexisting level of orotic acid at non-incubation time was subtracted from total amount of orotic acid observed at the end of the hour incubation. Orotic acid, coenzyme Q10, 4-TFMBAO and DHO were purchased from Sigma-Aldrich.

Isolation and osteoclastogenesis of human monocytes

Peripheral blood mononuclear cells (PBMCs) were isolated from heparinized whole blood of healthy volunteers by density gradient centrifugation using Ficoll-Hypaque (Sigma-Aldrich). The cells were washed three times with sterile PBS and resuspended in RPMI 1640 (Life Technologies) supplemented with 10% FBS, 2 mM L-glutamine, and 1% penicillin-streptomycin (complete medium). The PBMCs were incubated at 37 °C in complete medium and allowed to adhere for 45 min. The nonadherent cells were removed and the adherent cells were washed with sterile PBS and harvested with a rubber policeman. The purity of the monocytes isolated by Ficoll-Hypaque as determined by flow cytometry was approximately 85–90%. The cells were cultured for three weeks in conditioned mediums from THLE-2 cells in the presence of 25 ng mL⁻¹ recombinant human M-CSF (R&D Systems). The medium was changed every other day. On day 21, TRAP-positive cells were identified using a leukocyte acid phosphatase kit (Sigma-Aldrich)¹⁰.

Isolation of hepatocytes

Rat and mouse primary hepatocytes were isolated using a two-step perfusion process⁵⁶. Briefly, hepatocytes are dissociated from anesthetized adult rats by a non-recirculating collagenase perfusion through the portal vein. The isolated cells are then filtered through a 100 μm pore size mesh nylon filter. Cell number within the cell suspension was counted by using a hemocytometer. Cell viability was determined by trypan blue staining. Flow cytometry was used for purification and identification of the isolated hepatocytes.

Pit formation assay

Human monocytes were seeded on OsteoAssay bone plates (Lonza) at a density of 1 × 10⁴ cells per well. The cells were cultured for three weeks in conditioned mediums from THLE-2 cells in the presence of 25 ng mL⁻¹ recombinant human M-CSF (R&D Systems). The medium was changed every other day. On day 21, bone slices were ultra-sonicated in 1 M NH₄OH to remove adherent cells and stained with 0.1% toluidine blue solution. Bone slice images were captured using electron microscopy. Three fields were randomly selected for each bone slice for further analysis. Pit areas were quantified using Image Pro Plus 6.2 software (Media Cybernetics Inc.)⁵⁷.

Molecular docking

Position-Specific Iterated BLAST (PSI-BLAST) against PDB database was performed to identify homology templates of AHR PAS-A and PASB domains. Homology modeling were performed by MODELER software to build 3D structure of AHR PAS-A and PAS-B domains. Structure with lowest energy was chosen as the starting point for further structure refinements. In order to find optimized conformations, loop refinement was applied to the predicted structure of AHR PAS-A and PAS-B domains⁵⁸. Ramachandran plot was used to estimate the quality of modeled structure by inspecting backbone dihedral angles ψ against φ of amino acid residues in protein structure. Molecular docking was conducted between AHR PAS-A and PAS-B domains and Leflunomide using Autodock Vina. Once the macromolecule structure of AHR is loaded, charges and hydrogen atoms were added, and non-polar hydrogen atoms were merged. Leflunomide molecule was drawn using ChemDraw 10.0 and structure were optimized using quantum chemistry method AM1. Both protein and ligand structures were converted to PDBQT format using AutoDock tools.

ELISA assay

The human and rat CRP were measured by ELISA kits from Thermo Fisher Scientific. The mouse CRP was measured by a Quantikine ELISA kit (R&D Systems). The human rheumatoid factors including IGA, IGM and IGG were determined by ELISA kits from Cusabio Biotech. The human IL-6 and RANKL were determined by a PeliKine^TM human ELISA kit from Cell Sciences and an ELISA kit from Boster Biological Technology, respectively. The human, rat and mouse IL-17 was determined by ELISA kits from Abcam. The human TRAP5b was determined by an ELISA kit from TECOmedical AG. The mouse and rat TRAP5b were determined by ELISA kits from Immunodiagnostic Systems, respectively. The mouse and rat IL-6 was determined by ELISA kits from Abcam. The mouse and rat RANKL were determined by ELISA kits from Abcam and Biobyt. The monomeric CRP was determined by an ELISA assay⁵⁹.

Serum biochemistry and hematology assays

The rat liver function parameters (ALT and AST) and a kidney function parameter (BUN) were analyzed by a Vitros 250 Analyzer (Ortho Clinical Diagnostics, Johnson & Johnson Co, Rochester, NY). The hematology parameters including TP, hemoglobin, WBC, RBC and PLT were analyzed by an ABX Pentra 60 C + Analyzer (Horiba ABX, Montpellier, France).

Preparation of LNPs-siRNA

LNPs delivery systems comprised lipid-like 98N₁₂-5(1), cholesterol, PEG-lipid and siRNA^12,24. Briefly, stock solutions of 98N₁₂-5(1), mPEG2000-lipid, and cholesterol (Sigma-Aldrich) were prepared in ethanol and mixed to yield the molar ratios at 42:48:10. Mixed lipids were added to 125 mM sodium acetate buffer (pH 5.2) to yield a solution containing 35% ethanol, resulting in spontaneous formation of empty lipidoid nanoparticles. The resultant nanoparticles were extruded through a 0.08 μm membrane (Sterlitech, Kent, WA) using a LIPEX Extruder (Northern Lipids, Burnaby, British Columbia, Canada) to form particles 50–60 nm in length. CRP siRNA or NC siRNA in 50 mM sodium acetate (pH 5.2) and 35% ethanol was added to the nanoparticles at the total lipid:siRNA ratios at 7.5:1(wt:wt) and incubated at 37 °C for 30 min. Ethanol removal and buffer exchange of siRNA-containing nanoparticles was achieved by dialysis against phosphate-buffered saline. Finally, the formulation was filtered through a 0.2 μm sterile filter. For determining tissue distribution of the siRNA, siRNA was labelled with Cy5 and fluorescence intensity in different organ samples was measured by a microplate reader system (Bioscan, Washington, DC).

CIA rat model

Male SD rats (170–190 g of weight) were from the Chinese University of Hong Kong and kept with free access to food and water under standard temperature conditions (22 °C) and a 12 h light/dark cycle. CIA rat model was induced⁶⁰. Briefly, bovine type II collagen (C II) (Chondrex) was emulsified in an equal volume of Incomplete Freund’s adjuvant (IFA, Chondrex). The rats were immunized subcutaneously at the base of the tail with 200 μL emulsion (200 μg of bovine C II). Booster immunization was administered on day 7 with 100 μL injection of same emulsion as the first time. Arthritis severity was evaluated by clinical arthritic scores which were performed by two independent, blinded observers. Scoring was performed with a 0–4 scale, where 0 = no swelling or erythema; 1 = slight swelling and/or erythema; 2 = low-to-moderate edema; 3 = pronounced edema with limited joint usage; and 4 = excess edema with joint rigidity. Each hind limb was graded and thus the maximum possible score was 8 for each rat. A rat with a score of one or above was regarded as arthritic. All the experimental procedures were approved by the Committees of Animal Ethics and Experimental Safety of the Hong Kong Baptist University. We complied with all relevant ethical regulations for animal testing and research.

Generation of hepatocyte-specific HIF1α knockout mice

HIF1α^loxP/loxP mice (B6.129-Hif1a^tm3Rsjo/J; Jackson Laboratory) were from the Laboratory Animal Services Centre of the Chinese University of Hong Kong. Alb-cre mice (B6.Cg-Speer6-ps1^{Tg(Alb−cre)21Mgn}/J) were from the Jackson Laboratory. The above two mice were on a C57BL/6 background, which is regarded to be relatively resistant to arthritis induction⁶¹. Even though C57BL/6 mice could develop arthritis after immunization with chicken-derived collagen type II, the maximum incidence of arthritis was relatively lower (50%-70%), and the arthritis susceptibility was variable⁶¹. Thus, the two mice were backcrossed for eight generations to change the genetic background from C57BL/6 to DBA/1, which showed the greatest degree of susceptibility to arthritis induction^61,62,63. Then, the HIF1α^loxP/loxP mice were bred to Alb-cre mice to generate the hepatocyte-specific HIF1α knockout (HIF1α-HKO) mice⁶⁴.

CIA mouse model

Male DBA/1 mouse aged 8–10 weeks were from the Chinese University of Hong Kong and kept with free access to food and water under standard temperature conditions (22 °C) and a 12 h light/dark cycle. CIA mouse model was induced⁶³. Briefly, bovine C II (Chondrex) was emulsified in an equal volume of Complete Freund’s adjuvant (CFA). The mice were immunized with single subcutaneous injection at the base of the tail with 100 μL emulsion (100 μg of bovine C II) containing a final concentration of 2 mg mL⁻¹ of Mycobacterium tuberculosis. Arthritis severity was evaluated by clinical arthritic scores which were performed by two independent, blinded observers. Scoring was performed with a 0–4 scale, where 0 = normal; 1 = redness and/or swelling in one joint; 2 = redness and/or swelling in more than one joint; 3 = redness and/or swelling in the entire paw; and 4 = deformity and/or ankylosis. Each hind limb was graded and thus the maximum possible score was 8 for each mouse. A mouse with a score of one or above was regarded as arthritic. All the experimental procedures were approved by the Committees of Animal Ethics and Experimental Safety of the Hong Kong Baptist University. We complied with all relevant ethical regulations for animal testing and research.

Drug administration

Leflunomide and A77 1726 were suspended in 0.5% carboxymethyl cellulose sodium (CMC-Na) and orally administrated to CIA rats or mice. ACF were dissolved in PBS and intraperitoneally administrated to the CIA rats. Rabbit IgG controls (ab171870, 20 µg for each rat, Abcam) or anti-CRP antibodies (ab227507, 20 µg for each rat, Abcam) were intra-articularly injected to the CIA rats.

Histological analysis

Mouse and rat knee joints were removed postmortem, stored in 10% neutral formalin, decalcified in 20% ethylenediaminetetraacetic acid (EDTA) for 4 weeks, then dehydrated and embedded in paraffin. The sections were stained with hematoxylin & eosin (HE) and tartrate-resistant acid phosphatase (TRAP) before histopathological analysis⁶⁵.

MicroCT analysis

For in vivo microCT analysis, the rats or mice were anesthetized and placed prone on a scan stage before scanning. A vivaCT 40 (Scanco Medical) was employed to scan a region of 20 mm in length covering the right paw and tarsal bones at a voltage of 70 keV with a current of 114 μA. For ex vivo microCT measurement, the bilateral hind paws were dissected for microCT measurement. After automatic reconstruction, 2D slices with 21 μm isotropic resolution were generated and used to select the region of interest (ROI) for 3D reconstruction. The whole bone tissue of calcaneus was subjected to quantitative evaluation with a threshold (sigma = 1.2, support = 2 and threshold = 200). Bone volume fraction (BV/TV) and bone mineral density (BMD) were calculated using built-in software⁶⁶.

Bone histomorphometric analysis

The bilateral hind paws were fixed in 70% ethanol. The whole skeletal tissues from bilateral hind paws were dehydrated in graded concentrations of ethanol and embedded without decalcification in modified methyl methacrylate. Frontal sections of the whole bone from the hind paws at a thickness of 10 μm was obtained using an EXAKT Cut/grinding System (EXAKT Technologies, Inc. Germany). Thereafter, the bone sections underwent bone histomorphometric analyses using professional image analysis software (BIOQUANT OSTEO analysis software) under fluorescence microscope (Leica image analysis system, Q500MC). The bone resorption parameters, i.e. Oc.S/BS and Oc.N/BS, were calculated and expressed according to standardized nomenclature for bone histomorphometry⁶⁷.

DARTS assay

Thirty microliter Flag-tagged AHR, AHR mutants and negative control BSA in 100 μL PBS was incubated with vehicle (DMSO) and Leflunomide at the indicated concentrations (5.0 and 10.0 μM) for 18 h at 4 °C, respectively. The samples were then digested with subtilisin (Sigma-Aldrich) at room temperature for 20 min. The reactions were stopped by adding SDS loading buffer and boiling for 5 min. Samples were loaded onto a 12% acrylamide SDS-PAGE gel and then stained with coomassie brilliant blue to visualize the banding pattern²⁷.

Pull-down assay and LC-MS/MS

To determine the direct interaction of AHR with Leflunomide, 30.0 μg Flag-tagged AHR and AHR mutants in 100 μL PBS was incubated with Leflunomide (10.0 μM), A77 1726 (10.0 μM) and vehicle (DMSO) for 18 h at 4 °C, respectively. Flag-tagged proteins were collected by a FLAG® M purification kit (Sigma-Aldrich). The small molecules in pull-down assays were extracted by 90% methanol (Sigma-Aldrich) and analyzed by Agilent 6400 Ultra High Performance Liquid Chromatograph with Tripe Qquadrupole Mass Spectrometer (UHPLC-QqQ MS/MS) (Agilent Technologies)^28,68.

Real-time PCR

A RNeasy Mini Kit (Qiagen) was used to extract total RNA. Total RNA was reverse transcribed into cDNA using a QuantiTect Reverse Transcription Kit (Qiagen). The 10 μL volume of the final real-time PCR solution contained 1 μL diluted cDNA product, 5 μL 2 × Power SYBR® Green PCR Master Mix (Applied Biosystems), 0.5 μL each of forward and reverse primers and 3 μL nuclease-free water. The forward and reverse primers were shown as the following: CRP: 5′-ATGGAGAAGCTACTCTGGTGC -3′ (sense) and 5′-ACACACAGTAAAGGTGTTCAGTG-3′ (antisense); TRAP5b: 5′-GCAACATCCCCTGGTATGTG-3′ (sense) and 5′-GCAAACGGTAGTAAGGGCTG-3′ (antisense); HIF1α: 5′-TCCATTATGAGGCTGACCATC-3′ (sense) and 5′-CCATCCTCAGAAAGCACCATA-3′ (antisense); GAPDH: 5′-AGGTCGGTGTGAACGGATTTG-3′ (sense) and 5′-TGTAGACCATGTAGTTGAGGTCA-3′ (antisense). The fluorescence signal emitted was collected by an ABI PRISM® 7900HT Sequence Detection System and the signal was converted into numerical values by SDS 2.1 software (Applied Biosystems)^66,69.

Statistical analysis

The binary logistic regression was used to determine the indication accuracies of blood biomedical indicators in PBE + RA patients. The Pearson’s correlation was used to determine correlations between variables. The Shapiro-Wilk W test was used to test for normality of all continuous variables. When comparing measured outcomes in two independent groups, two-sided t-test was used for analyzing continuous variables. When comparing repeated measured outcomes in time series groups, repeated-measures analysis of variance (ANOVA) was used for analyzing the data. For difference among multiple independent groups, one-way ANOVA with a post-hoc test was performed. Samples were randomly located into different groups. The investigators were blinder to group allocation during data collection and analysis. A two-sided P-value of less than 0.05 was considered statistically significant. All statistical analyses were performed with a SPSS software, version 22.0. Two types of replicates including biological replicates and technical replicates was performed to yield accurate and reliable statistics. Sample size was calculated by the formula: n = 2 [(U_α + U_ß) S δ⁻¹]². S in the formula referred to the standard deviation (s.d.). δ in the formula represented the inter-group difference of the mean values. There was a difference above 30 mg cm⁻³ in BMD between treatment group and control group, i.e., δ = 30 mg cm⁻³. s.d. of BMD from previous studies was 15 mg cm⁻³, i.e., S = 15 mg cm⁻³. We selected the significant level at 5% (α = 0.05) in a two-tailed test and power of the study at 90% (1- ß = 0.9). According to the formula: n = 2 [(U_α + U_ß) S δ⁻¹]², U_0.05 = 1.960, ß = 0.10, U_0.1 = 1.282, we chose n = 9 for each group, which was enough to detect the real difference among the treatment groups. Animals in poor body condition, such as tumors or other sick conditions during aging, were excluded. The exclusion was made before random group assignments, experimental intervention and data analysis.

Reporting summary

Further information on research design is available in the Nature Research Reporting Summary linked to this article.

Data availability

The authors declare that all data supporting the findings of this study are available within the article and its Supplementary Information files or are available from the authors upon reasonable request. The source data underlying Figs. 1–6, Supplementary Fig. 1–4 and Supplementary Figs. 6–10 are provided as a Source Data file.

Change history

22 June 2020
An amendment to this paper has been published and can be accessed via a link at the top of the paper.

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Acknowledgements

We thank technical staffs (Ms. Yeuk Siu Cheung and Mr. Chi Leung Chan) from Law Sau Fai Institute for Advancing Translational Medicine in Bone and Joint Diseases, Hong Kong Baptist University for providing technical support. This work was supported by the Ministry of Science and Technology of China (2013ZX09301307 to A.L.), the Hong Kong General Research Fund (HKBU479111 to G.Z., HKBU478312 to G.Z., HKBU262913 to G.Z., HKBU12102914 to G.Z., HKBU261113 to A.L., 12101018 to F.L., CUHK14112915 to B-T.Z. and CUHK489213 to B-T.Z.), the RC’s Start-up Grant for New Academics (162498 to C.L.) the Natural Science Foundation Council of China (81272045 to G.Z., 81700780 to C.L., 81703049 to F.L. and 81470072 to X.H.), the Research Grants Council and Natural Science Foundation Council of China (N_HKBU435/12 to G.Z.), the Croucher Foundation (Gnt#CAS14BU/CAS14201 to A.L.), the Interdisciplinary Research Matching Scheme (IRMS) of Hong Kong Baptist University (RC-IRMS/12-13/02 to A.L. and RC-IRMS/13-14/02 to G.Z.), the Hong Kong Baptist University Strategic Development Fund (SDF13-1209-P01 to A.L. and SDF15-0324-P02(b) to A.L.), the Hong Kong Research Grants Council Early Career Scheme (489213 to G.Z.), the Inter-institutional Collaborative Research Scheme of Hong Kong Baptist University (RC-ICRS/14-15/01 to G.Z. and RC-ICRS/16-17/01 to A.L.), the Faculty Research Grant of Hong Kong Baptist University (FRG1/13-14/024 to G.Z., FRG2/13-14/006 to G.Z. and FRG2/14-15/010 to G.Z.), the Science and Technology Innovation Commission of Shenzhen Municipality Funds (JCYJ20170307161659648 to F.L.), the China Academy of Chinese Medical Sciences (Z0252 and Z0293 to A.L.) and the National Key R&D Program of China (2018YFC1705205 to A.L. and 2018YFA0800804 to G.Z.).

Author information

These authors contributed equally: Chao Liang, Jie Li, Cheng Lu.
These authors jointly supervised this work: Chao Liang, Bao-Ting Zhang, Ge Zhang, Aiping Lu.

Authors and Affiliations

Law Sau Fai Institute for Advancing Translational Medicine in Bone and Joint Diseases, School of Chinese Medicine, Hong Kong Baptist University, 999077, Hong Kong SAR, China
Chao Liang, Cheng Lu, Duoli Xie, Jin Liu, Chuanxin Zhong, Xiaohao Wu, Rongchen Dai, Huarui Zhang, Daogang Guan, Baosheng Guo, Bing He, Fangfei Li, Xiaojuan He, Ge Zhang & Aiping Lu
Institute of Integrated Bioinfomedicine and Translational Science, School of Chinese Medicine, Hong Kong Baptist University, 999077, Hong Kong SAR, China
Chao Liang, Cheng Lu, Duoli Xie, Jin Liu, Chuanxin Zhong, Xiaohao Wu, Rongchen Dai, Huarui Zhang, Daogang Guan, Baosheng Guo, Bing He, Fangfei Li, Xiaojuan He, Ge Zhang & Aiping Lu
Institute of Precision Medicine and Innovative Drug Discovery, HKBU Institute for Research and Continuing Education, 518000, Shenzhen, China
Chao Liang, Cheng Lu, Duoli Xie, Jin Liu, Chuanxin Zhong, Xiaohao Wu, Rongchen Dai, Huarui Zhang, Daogang Guan, Baosheng Guo, Bing He, Fangfei Li, Xiaojuan He, Ge Zhang & Aiping Lu
Faculty of Medicine, School of Chinese Medicine, Chinese University of Hong Kong, 999077, Hong Kong SAR, China
Jie Li & Bao-Ting Zhang
Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, 100700, Beijing, China
Cheng Lu & Xiaojuan He
The First Affiliated Hospital of Anhui University of Chinese Medicine, 230031, Hefei, China
Wandong Zhang
Institute of Arthritis Research, Shanghai Academy of Chinese Medical Sciences, Guanghua Integrative Medicine Hospital/Shanghai University of TCM, 200032, Shanghai, China
Aiping Lu

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Chao Liang
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Jie Li
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Cheng Lu
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Duoli Xie
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Jin Liu
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Chuanxin Zhong
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Xiaohao Wu
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Rongchen Dai
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Huarui Zhang
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Daogang Guan
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Baosheng Guo
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Bing He
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Fangfei Li
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Xiaojuan He
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Wandong Zhang
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Bao-Ting Zhang
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Ge Zhang
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Aiping Lu
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Contributions

A.L., G.Z., B-T.Z., and C.L. jointly supervised the whole project. C.L., J.L., and C. Lu. performed the major research and wrote the paper in equal contribution. D. X., R.D., C.Z., H.Z., D.G., B.G., J.L. and B. H. provided the technical support. X.H., F. L. and W.Z. provided their professional expertise.

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Correspondence to Ge Zhang.

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Liang, C., Li, J., Lu, C. et al. HIF1α inhibition facilitates Leflunomide-AHR-CRP signaling to attenuate bone erosion in CRP-aberrant rheumatoid arthritis. Nat Commun 10, 4579 (2019). https://doi.org/10.1038/s41467-019-12163-z

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Received: 28 November 2018
Accepted: 16 August 2019
Published: 08 October 2019
DOI: https://doi.org/10.1038/s41467-019-12163-z

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