Research ArticleNeuroscience

G protein signaling–biased agonism at the κ-opioid receptor is maintained in striatal neurons

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Science Signaling  07 Aug 2018:
Vol. 11, Issue 542, eaar4309
DOI: 10.1126/scisignal.aar4309

Biasing pain treatment against side effects

Stimulating opioid receptors with targeted agonists can treat pain, but such drugs often cause unwanted and even dangerous side effects because they induce multiple intracellular pathways downstream of the receptor. Studies in cell lines and mouse models have proposed that so-called “biased” agonists, those that activate only antinociceptive G protein signaling, may lessen pain and itch without causing side effects. Ho et al. confirm this potential for targeting the κ-opioid receptor (KOR) by showing the biochemical and physiological effects of biased KOR agonists specifically on striatal neurons in mice. These findings indicate that cell culture–based predictions of biased KOR agonists may hold true in vivo and therefore may be a better way to treat pain in patients.


Biased agonists of G protein–coupled receptors may present a means to refine receptor signaling in a way that separates side effects from therapeutic properties. Several studies have shown that agonists that activate the κ-opioid receptor (KOR) in a manner that favors G protein coupling over β-arrestin2 recruitment in cell culture may represent a means to treat pain and itch while avoiding sedation and dysphoria. Although it is attractive to speculate that the bias between G protein signaling and β-arrestin2 recruitment is the reason for these divergent behaviors, little evidence has emerged to show that these signaling pathways diverge in the neuronal environment. We further explored the influence of cellular context on biased agonism at KOR ligand–directed signaling toward G protein pathways over β-arrestin–dependent pathways and found that this bias persists in striatal neurons. These findings advance our understanding of how a G protein–biased agonist signal differs between cell lines and primary neurons, demonstrate that measuring [35S]GTPγS binding and the regulation of adenylyl cyclase activity are not necessarily orthogonal assays in cell lines, and emphasize the contributions of the environment to assessing biased agonism.


The wide expression of κ-opioid receptors (KORs) and their involvement in physiological functions, such as antinociception (13) and mood perception (1, 4), have made KOR a possible target for drug development in the treatment of pain. However, although KOR agonists lack the side effects associated with μ-opioid agonists such as morphine, they still have certain side effects associated with their use, including sedation, dysphoria, diuresis, and hallucinations. These adverse events have limited the therapeutic development of KOR agonists (1, 46).

KORs are seven transmembrane spanning G protein–coupled receptors (GPCRs) (7, 8) and are widely expressed throughout the central and peripheral nervous systems (916). Endogenously, they are activated by opioid peptides, including dynorphins (17, 18). KORs are classically considered to be Gαi/o-coupled receptors that mediate antinociceptive properties by engaging these inhibitory Gα proteins (19, 20). In turn, KOR activation results in the inhibition of adenylyl cyclase activity, leading to decreased cyclic adenosine monophosphate (cAMP) accumulation, whereas G protein–dependent inward rectifying potassium (GIRK) channels are activated downstream of KOR–G protein signaling (21, 22). KORs also interact with β-arrestin proteins (23, 24), which can promote activation of several kinases, including the mitogen-activated protein kinase (MAPK) p38 (25), c-Jun N-terminal kinase (JNK) (26), and the extracellular signal–regulated kinases 1 and 2 (ERK1/2) (27). Downstream signaling to kinases can be mediated by both β-arrestin–dependent and G protein–dependent signaling pathways (25, 2729).

Although most GPCRs have the potential to interact with both G proteins and β-arrestins, there are opportunities to influence a preference in GPCR signaling between downstream effectors by modifying the agonist; a concept referred to as functional selectivity or biased agonism (3035). Several biased KOR agonists, representing five distinct chemical scaffolds, have been described that induce preferential G protein signaling over β-arrestin2 recruitment (28, 3639). Studies in mouse models show that such G protein–biased agonists can preserve the antinociceptive (37, 38, 40, 41), antipruritic (40, 41), and antiepileptic (42) properties of a KOR agonist, whereas other responses, such as decreases in spontaneous locomotor activity or sedation, are absent (3841). Our laboratory has shown that such a compound (triazole 1.1), at doses that enter the brain and occupy KORs, does not induce changes in dopamine levels in the nucleus accumbens in mice as do typical KOR agonists, such as U50,488H or U69,593 (41, 4347).

These findings, coupled with evidence from intracranial self-stimulation studies (41), strongly suggest that by separating G protein signaling and β-arrestin recruitment pathways, KOR agonists can maintain antinociceptive and antipruritic properties while avoiding dopaminergic fluctuations and may thereby be a means to avoid dysphoria associated with KOR agonism. Although this is an attractive hypothesis, there still remains the question as to whether the separation in physiologies is actually due to the lack of β-arrestin recruitment to KOR in neurons as it is observed in conventional cellular assays. The evaluation of β-arrestin recruitment in the endogenous setting is fraught with technical limitations because there are currently no direct assays that can be reliably applied to assess the interactions between the endogenous β-arrestin and endogenous receptor (that is, immunohistological approaches do not always work because antibodies are poor and expression levels are low). Therefore, we compared assays designed to assess KOR–G protein signaling (stimulation of [35S]GTPγS binding and inhibition of forskolin-stimulated cAMP accumulation) to β-arrestin–dependent KOR internalization in mouse striatal neurons. These findings emphasize the usefulness and the limitations of cell-based signaling assays for determining differences in ligand signaling profiles and demonstrate that, when compared to a conventional KOR agonist, U69,593, triazole 1.1 displays bias for promoting [35S]GTPγS binding and inhibiting cAMP accumulation over promoting KOR internalization in primary striatal neurons.


Evaluation of G protein–dependent signaling assays in KOR-expressing cell lines

Assays measuring cAMP accumulation are amenable to neuronal cultures, however low levels of protein make it difficult to assess [35S]GTPγS binding in primary cultures; therefore, we asked whether the cAMP assay could be used as an orthogonal assay for the [35S]GTPγS binding in cell lines before testing in neurons. Triazole 1.1 and isoquinolinone 2.1 (iso 2.1) are nearly as potent as U69,593 in Chinese hamster ovary (CHO) cell lines expressing the human KOR as measured by [35S]GTPγS binding assays and are biased against β-arrestin2 recruitment relative to U69,593 as a reference agonist (Fig. 1, A and B, and Tables 1 and 2) (37, 41). Notably, triazole 1.1 and iso 2.1 displayed bias against forskolin-stimulated cAMP accumulation (Fig. 1C and Table 1) compared to their ability to stimulate [35S]GTPγS binding, indicating that in CHO cells, the assays are not orthagonal. The inhibition of cAMP accumulation is pertussis toxin–sensitive (Fig. 1D), implicating inhibitory the Gαi/o class of proteins downstream of KOR activation. Moreover, none of the agonists stimulated cAMP accumulation in the absence of forskolin (fig. S1), suggesting that the receptors are not alternatively coupling to Gαs. Triazole 1.1 and iso 2.1 were also less potent than U69,593 in stimulating calcium influx in the KOR-CHO cells (Fig. 1E), an effect that was also blocked by pertussis toxin, implicating a dependence on Gαi/o engagement (Fig. 1F). Pretreatment of cellular membranes with pertussis toxin prevented agonist-stimulated [35S]GTPγS binding (Fig. 1G) yet had no effect on β-arrestin2 recruitment (Fig. 1H). These data indicate that triazole 1.1 and iso 2.1 efficiently stimulate pertussis toxin–sensitive Gα protein binding to [35S]GTPγS and inefficiently stimulate downstream signaling events that are also mediated by pertussis toxin–sensitive G proteins. Triazole 1.1 and iso 2.1 stimulate GIRK channels with potency similar to U69,593; no bias was detected between the GIRK and [35S]GTPγS binding assays (Fig. 1I and Table 1). A quantitative comparison of the bias factors was calculated using the operational model relative to the reference agonist U69,593 (Fig. 2 and summarized in Table 2) (48).

Fig. 1 Divergence in signaling across cell-based KOR signaling assays.

(A) Membrane [35S]GTPγS binding assay in hKOR-CHO cells treated with triazole 1.1 (blue squares) or iso 2.1 (purple triangles), relative to those treated with U69,593 (red circles) at the indicated doses for 1 hour at room temperature. (B) β-Arrestin2 recruitment assay [enzyme fragment complementation (EFC)] in the DiscoveRx PathHunter U2OS cell line treated with the KOR agonists for 90 min at 37°C. (C and D) Inhibition of forskolin-stimulated cAMP accumulation assay without (C) or with (D) pertussis toxin (PTX) overnight pretreatment in hKOR-CHO cells incubated with the KOR agonists for 30 min at room temperature. (E and F) Intracellular calcium mobilization without or with pertussis toxin pretreatment in hKOR-CHO cells with the KOR agonist treatment. (G) [35S]GTPγS binding assay using membranes prepared from pertussis toxin–pretreated CHO-hKOR cells. (H) Effect of pertussis toxin overnight pretreatment on β-arrestin2 recruitment (EFC) [EC50 (nM) ± SEM: 105 ± 11 (U69), 2980 ± 741 (triazole 1.1), and 3132 ± 894 (iso 2.1); compare to “-PTX” condition in Table 1]. P > 0.05 by one-way analysis of variance (ANOVA) with Bonferroni’s multiple comparisons test. (I) Measurement of GIRK channel activation by a Fluorescent Imaging Plate Reader (FLIPR) potassium assay in CHO-hKOR-hGIRK1/2 cells incubated with increased concentrations of the KOR agonists. Data are presented as means ± SEM from n ≥ 3 independent experiments for all assays.

Table 1 Signaling parameters for the KOR agonists in the cell-based functional assays.

Data are presented as means ± SEM from n ≥ 3 independent experiments performed in duplicate to quadruplicate. Emax values were normalized calculation to the maximum stimulation by U69,593. Ca2+ accumulation, intracellular calcium mobilization assay; K+ accumulation, GIRK channel activation assay.

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Table 2 Analysis of bias factors between functional assays.

Using U69,593 as a reference agonist, the ΔΔLogR and bias factors (10ΔΔlogRassay1-assay2) were calculated as described in “Data analysis and statistics” (Materials and Methods) using the ΔLogR values listed in Table 1. GTP, [35S]GTPγS binding assay; βarr2, β-arrestin2 recruitment assay (EFC); cAMP, forskolin-stimulated cAMP accumulation assay; Ca2+, intracellular calcium mobilization assay; GIRK, GIRK channel activation assay; 95% CI, 95% confidence interval.

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Fig. 2 Calculation of ligand bias for across cell-based KOR signaling assays.

Bias factors of triazole 1.1 (blue boxes) and iso 2.1 (purple boxes) for the indicated pathways are calculated from the transduction coefficients listed in Tables 1 and 2 and are plotted on a log scale. Bias factor for the reference agonist U69,593 is 1 in all assays. Data are presented as means ± SEM. Errors were calculated by unpaired t test comparing ΔLogR values of the test compounds between two functional assays. Signaling pathways are presented as follows: [35S]GTPγS binding [guanosine 5′-triphosphate (GTP)], β-arrestin2 recruitment [βarr2 (EFC)], inhibition of forskolin-stimulated cAMP accumulation (cAMP), intracellular calcium mobilization (Ca2+), and GIRK channel activation (GIRK).

Evaluation of factors affecting regulation of adenylyl cyclase activity

To investigate this apparent discrepancy between pertussis toxin–sensitive, KOR-mediated [35S]GTPγS binding and the inhibition of forskolin-stimulated cAMP accumulation, we explored several potential effectors. The decreased potency in the cyclase assay by the biased agonists was not affected by shortening or lengthening drug exposure time (5, 15, 30, or 60 min; fig. S2 and table S1). Regulators of G protein signaling (RGS) proteins can affect the efficiency of coupling the G protein activation and the regulation of the secondary effectors, such as adenylyl cyclases (49, 50). Therefore, we overexpressed hRGS4, hRGS9.2, or hRGS12.3 (recombinant human RGS protein isoforms), which are highly expressed in brain, particularly in the striatum (5153). Expression of RGS4 or RGS9.2 had no significant effects on the potency of either agonist, whereas expression of RGS12.3 decreased the potency of both agonists in the forskolin-stimulated cAMP accumulation assay (fig. S3, A to C and table S4). However, these attempts did not resolve the discrepancy.

Hence, we explored species differences with respect to KOR and the cell lines expressing KOR. In CHO cells expressing mouse KOR, triazole 1.1 and iso 2.1 retain their bias for promoting [35S]GTPγS binding over inhibition of cAMP accumulation and β-arrestin2 recruitment (fig. S4, A to D, and table S2). Expressing the mouse KOR in a mouse embryonic fibroblast (MEF) cell line did not restore potency to the biased agonists in the cyclase assay relative to U69,593 (fig. S5A and table S3). Moreover, elimination of β-arrestins did not affect the potency of any of the agonists in the cyclase assay performed in β-arrestin1/2-knockout (βarr1/2-KO) MEFs (fig. S5B and table S3).

A more general approach was then taken to determine whether a cytosolic factor was involved. U69,593 was significantly less potent in inhibiting forskolin-stimulated cAMP accumulation in isolated cellular membrane preparations compared with whole-cell assays, whereas triazole 1.1 was significantly more potent in the membrane assay compared to the whole-cell assay (Fig. 3A and Table 3). The effect on the relative potency between U69,593 and triazole 1.1 was sufficient to nearly eliminate the relative bias between [35S]GTPγS binding and cAMP accumulation for triazole 1.1 (Fig. 3B), suggesting that a cytosolic factor in the CHO-hKOR cells is affecting signal transduction between G protein binding and inhibition of adenylyl cyclase that does not affect KOR signaling to GIRK channel activation (Fig. 1I).

Fig. 3 Evaluation of forskolin-stimulated cAMP accumulation in isolated cell membranes.

(A) Membrane-based inhibition of forskolin-stimulated cAMP accumulation assays using cell membranes prepared from CHO-hKOR cells that were incubated with increased concentrations of test compounds for 30 min at room temperature. Data are presented as means ± SEM of n = 7 independent experiments. (B) Bias factors are calculated using the transduction coefficients listed in Tables 1 and 3 and are plotted on a log scale. Data are presented as means ± SEM. Errors were calculated by unpaired t test comparing ΔLogR values of the test compounds between two functional assays. [35S]GTPγS binding (GTP), cell-based inhibition of forskolin-stimulated cAMP accumulation (cAMP), and membrane-based inhibition of forskolin-stimulated cAMP accumulation (m-cAMP).

Table 3 Signaling parameters for forskolin-stimulated cAMP accumulation in CHO-hKOR cells or using CHO-hKOR cell membranes.

U69,593 serves as the reference agonist. Data are presented as means ± SEM from n ≥ 4 independent experiments performed in duplicate to quadruplicate. P values were obtained by comparing the values of the KOR agonist treatment in CHO-hKOR cells to CHO-hKOR cell membranes using a Student’s t test.

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Evaluation of biased agonists in neurons

KORs are predominantly expressed in neurons; therefore, we asked whether the signaling bias profile would persist in a more native context. When human KOR was expressed in the human neuronal cell line SH-SY5Y, triazole 1.1 and iso 2.1 remained equally as potent as U69,593 in the [35S]GTPγS binding assay (Fig. 4A). In this context, triazole 1.1 and iso 2.1 were also potent agonists in the cyclase assay (Fig. 4B) and no longer displayed bias between the two (Table 4). Together, these data suggest that there is a fundamental difference between the neuronal and conventional cell lines that greatly affects the cyclase inhibition mediated by the two biased agonists at KORs.

Fig. 4 Evaluation of bias in a neuronal cell line expressing hKOR (SH-SY5Y-hKOR).

(A) [35S]GTPγS binding assay using membranes prepared from SH-SY5Y-hKOR cells that were incubated with increased concentrations of test compounds. Graphs are presented as means ± SEM of n ≥ 3 independent experiments. EC50 (nM) ± SEM: 66 ± 11 (U69), 99 ± 22 (triazole 1.1), and 174 ± 67 (iso 2.1); P > 0.05 for triazole 1.1 and iso 2.1 versus U69,593, one-way ANOVA with Bonferroni’s post hoc test. Emax (%) ± SEM: 100 (U69), 92 ± 2 (triazole 1.1), 92 ± 3 (iso 2.1). (B) Concentration response curves of the forskolin-stimulated cAMP accumulation assay in KOR agonist–treated SH-SY5Y cells with or without hKOR overexpression. EC50 (nM) ± SEM: 185 ± 50 (U69), 410 ± 76 (triazole 1.1), and 331 ± 55 (iso 2.1); P < 0.05 for triazole 1.1 versus U69 and P > 0.05 for iso 2.1 versus U69, one-way ANOVA with Bonferroni’s post hoc test. Emax (%) ± SEM: 100 (U69), 108 ± 6 (triazole 1.1), and 116 ± 9 (iso 2.1). Data are presented as means ± SEM of n ≥ 3 independent experiments.

Table 4 Bias analysis between [35S]GTPγS binding and forskolin-stimulated cAMP accumulation for SH-SY5Y-hKOR cells.

LogR, ΔLogR, ΔΔLogR, and bias factors (10ΔΔlogRassay1-assay2) were calculated using U69,593 as the reference agonist, as described in “Data analysis and statistics” using the values stated in the figure legends of Fig. 4. Data are presented as means ± SEM from n ≥ 3 independent experiments performed in duplicate to triplicate. G, [35S]GTPγS; cAMP, forskolin-stimulated cAMP accumulation; 95% CI, 95% confidence interval.

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Convergence of G protein signaling assays in striatal tissue

In membranes prepared from striata taken from wild-type β-arrestin2 (βarr2-WT) mice, triazole 1.1 potently stimulated [35S]GTPγS binding (Fig. 5A and Table 5), confirming results reported in striata from C57BL/6 mice (41). In the cAMP accumulation assay performed in primary cultures of mouse striatal neurons isolated from βarr2-WT mice, triazole 1.1 had a similar potency as U69,593, and no bias was evident between the two agonists in these two assays (Fig. 5B and Table 5). In addition, pertussis toxin blocked all agonist activity, implicating a Gαi/o-dependent mechanism in KOR-mediated inhibition of adenylyl cyclase for both agonists in mouse striatal neurons (Fig. 5C).

Fig. 5 Evaluation of KOR-mediated G protein signaling in striatum and striatal neurons.

(A) [35S]GTPγS binding assay using membranes prepared from adult mouse striatum tissue. n = 6 independent experiments using at least one mouse striatum tissue each time. (B) Concentration response curves of inhibition of forskolin-stimulated cAMP accumulation in mouse primary striatal neurons. n = 4 independent experiments. (C) Inhibition of cAMP accumulation in response to vehicle (Veh) or KOR agonists (10 μM) without pertussis toxin pretreatment (left of the dashed line) or with pertussis toxin pretreatment (right of the dashed line) in mouse primary striatal neurons. Data are presented as means ± SEM of n = 4 independent experiments. ****P < 0.001 compared to vehicle treatment, one-way ANOVA with Bonferroni’s post hoc test.

Table 5 Signaling parameters for the assays using mouse striatal membranes and mouse primary striatal neurons.

U69,593 serves as the reference agonist. Data are presented as means ± SEM from n ≥ 4 independent experiments. G, [35S]GTPγS binding; cAMP, forskolin-stimulated cAMP accumulation; KORint, KOR internalization; 95% CI, 95% confidence interval.

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KOR internalization in primary striatal neurons

Given that the bias observed in CHO-hKOR cells observed between [35S]GTPγS binding and the forskolin-stimulated cAMP accumulation assay did not translate to the striatal neurons, we then questioned whether the [35S]GTPγS/β-arrestin2 bias would be recapitulated in neurons. Technical limitations, such as low expression and poor selectivity of antibodies, currently prevent the direct assessment of endogenous KOR-β-arrestin2 interactions; therefore, we chose to use KOR internalization, which is β-arrestin–dependent [fig. S6, A to D (54)], as a surrogate measure of β-arrestin engagement in neurons. Because antibodies to KOR are not highly selective, we expressed the N-terminally hemagglutinin (HA)–tagged mouse KOR in primary striatal cultures derived from βarr2-WT and βarr2-KO mice. U69,593 induced robust and dose-dependent increases in KOR internalization. However, triazole 1.1 was much less efficient in promoting KOR internalization in the βarr2-WT striatal neurons (Fig. 6, A and B, and Table 5). In βarr2-KO striatal neurons, internalization induced by U69,593 (100 nM) was significantly diminished compared to βarr2-WT striatal neurons; no internalization was detected for triazole 1.1 (100 nM)–treated βarr2-KO neurons compared to vehicle-treated controls (Fig. 6C). In neurons, triazole 1.1 induced comparable [35S]GTPγS binding and inhibition of cAMP accumulation, whereas it displayed bias against KOR internalization (Table 5). Together with the demonstration that internalization of KOR is regulated by β-arrestin2 in neurons, these data suggest that triazole 1.1 maintains bias for G protein signaling over β-arrestin–dependent processes in vivo.

Fig. 6 Evaluation of β-arrestin2–dependent KOR internalization in striatal neurons.

(A) KOR internalization concentration response curves in WT primary striatal neurons treated with U69,593 or triazole 1.1 for 30 to 50 min. F(1,17) = 28.31; P < 0.0001, two-way ANOVA; **P < 0.01, Bonferroni’s post hoc test. Each data point was obtained from the mean value of 6 to 11 confocal images of n ≥ 3 independent primary striatal neuron preparations. (B) Representative confocal images of KOR internalization in WT primary striatal neurons treated as in (A). Twenty-one to 69 images were analyzed for each treatment. Scale bar, 5 μm. (C) Scatterplot analysis of KOR internalization in response to 100 nM of either compound in WT and βarr2-KO primary striatal neurons. **P < 0.01 for U69,593 in WT versus U69,593 in βarr2-KO primary striatal neurons by one-way ANOVA with Bonferroni’s post hoc test. Data are presented as means ± SEM from n ≥ 3 independent experiments.


Here, we have used agonists that have been shown to display bias for stimulating KOR-mediated [35S]GTPγS binding over β-arrestin2 recruitment in cell-based signaling assays (37, 40, 41) to probe whether such bias would persist across different cellular contexts and particularly in neurons. In KOR signaling assays performed in conventional transfected CHO cell lines, accumulation of cAMP and [35S]GTPγS binding assays did not prove to be orthogonal assays because the compounds that are biased for promoting [35S]GTPγS binding over β-arrestin2 recruitment are also biased for inducing [35S]GTPγS binding over inhibiting cAMP accumulation (Figs. 1 and 2 and Table 1). However, in striatal neurons, both triazole 1.1 and U69,593 potently induce G protein signaling as determined by [35S]GTPγS binding and the cyclase assay, whereas triazole displays bias for these pathways over β-arrestin2–depedent internalization of KOR.

These findings emphasize the importance of context to the perception and detection of ligand signaling bias. Although our attempts to reveal specific factors, such as RGS protein expression, were not definitive, we did find that the apparent bias observed between the G protein assays ([35S]GTPγS and cAMP measures) in the cell lines and neurons may reside in cytosolic factors because isolating cellular membranes improved triazole 1.1 potency relative to U69,593, which lost potency when the cytosol was removed (Fig. 3).

There remain multiple potential factors that could be contributing to the divergence between pertussis toxin–sensitive[35S]GTPγS binding and inhibition of cAMP accumulation seen in the cell lines that is lost in the neurons, including contribution of membrane-associated proteins. For example, adenylyl cyclase isoenzymes are differentially expressed with adenylyl cyclase 5 that is preferentially expressed in striatal neurons and found at low levels in CHO cells (55). Phosphodiesterases (PDEs), which regulate the cAMP-dependent signaling pathway by catalyzing hydrolysis of cAMP to AMP, are also differentially expressed, with PDE3 and PDE4 found in MEFs and CHO cells (56, 57) and PDE1 and PDE10 found predominantly in striatum (5860). Although we did not solve the missing (or contributing) factors that explain the divergence in the cell lines, we feel that these observations will be valuable for drug screening efforts that seek bias between G protein and β-arrestin recruitment downstream of KOR activation using cell-based expression systems.

Triazole 1.1 and iso 2.1 have been shown to produce antinociception (37) and antipruritic effects in mice (41). Further studies in mice showed that triazole 1.1 had no measurable effect on dopamine levels as measured by cyclic voltammetry in the mouse nucleus accumbens slice preparation and from microdialysates from freely moving mice (41), suggesting that this region would be a relevant tissue source in which to investigate biased signaling. Although we are able to measure [35S]GTPγS binding and cAMP accumulation in striatum, we were not able to directly measure KOR-β-arrestin2 interactions under endogenous conditions due to nonselective KOR antibodies and relatively low receptor numbers. Moreover, although our internalization studies support a divergence between the triazole’s ability to stimulate G protein signaling pathways over internalization/β-arrestin recruitment, they do not rule out a scenario where there are other factors at play beyond G proteins and β-arrestins determining KOR-mediated signaling. These yet identified factors may underlie the pathways that are involved in KOR regulation of dopamine levels and subsequent sedation and dysphoria.

Furthermore, although these studies compare the effects of triazole 1.1 to U69,593 in striatal neurons, they should not be seen as definitive for how all biased KOR agonists act in neurons. Earlier studies have examined the effects of diverse agonists on peripheral neurons wherein functional selectivity of KOR ligand–mediated signaling was reported (61) with divergences occurring between U50,488 and salvinorin A in regard to the activation of JNK and ERK, which correlated with differential responses to nociceptive stimuli. In other studies, 6′guanidinonaltrindole (6′GNTI) was shown to be biased for activating GTPγS binding over β-arrestin2 recruitment in cells (28, 36), whereas 6′GNTI induced AKT but not ERK1/2 phosphorylation in striatal neurons (as opposed to U69,593, which activated both kinases) (28). Nalfurafine has also been reported to show bias for activating ERK1/2 over p38 in human embryonic kidney (HEK) cells (62). Here, downstream kinase activation was not studied, although bias for [35S]GTPγS binding over ERK activation within the triazole 1.1 scaffold has previously been reported in CHO cells (63).

It should be noted that triazole 1.1 has a different signaling profile than certain other biased KOR agonists, such as 6′GNTI; triazole 1.1 is a full agonist in the GTPγS binding and the β-arrestin2 recruitment assay, whereas 6′GNTI is a partial agonist in both assays (28). Nalfurafine is a full agonist at KOR in GTPγS binding assays (its effects on β-arrestin recruitment have not been reported to date) (64), yet it is also a partial agonist at the μ-opioid receptor and a low-affinity antagonist at nociceptin receptors (65). Therefore, other pharmacological properties (that is, efficacy, kinetics, potency, affinity, and polypharmacology), in addition to or besides signaling bias, will contribute to the effects on physiological responses. The studies described here are exemplary of triazole 1.1 actions in striatal neurons and not of all KOR biased agonists in all tissues; in vivo, KOR actions are likely more nuanced than being simply G protein– or β-arrestin–mediated.

Overall, our studies not only provide insight into the utility of cell-based receptor expression systems for evaluating ligand bias but also serve as a demonstration that bias is highly context-dependent and may or may not translate into the endogenous environment. Hence, had we began our studies with [35S]GTPγS binding and cAMP accumulation, we would have found agonists biased for [35S]GTPγS over cAMP accumulation, a condition that does not recapitulate in vivo. Had we screened for cAMP over β-arrestin2 recruitment, we would have only found weakly potent agonists. From our studies, we are confident that triazole 1.1 produces different signaling outputs downstream of KOR activation; however, we appreciate that changing the assay and the cellular context will change the perception of signaling bias. Ultimately, we anticipate that such evaluations in physiologically relevant contexts will point toward optimal and unwanted signaling pathways, and the generation of tools such as the triazole 1.1 will facilitate such discoveries.



U69,593 was purchased from Sigma, and triazole 1.1 and iso 2.1 were synthesized as described previously (37). U69,593 was prepared in ethanol, and triazole 1.1 and iso 2.1 were prepared in dimethyl sulfoxide (DMSO). All compounds were prepared as 10 mM stock in ethanol for U69,593 or DMSO for triazole 1.1 and iso 2.1. All reagents were diluted to working concentration in vehicle containing equal amount of DMSO and ethanol no more than 1% in any assay. Pertussis toxin from Bordetella pertussis was purchased from Sigma.

Constructs and cell line creation

The human KOR complementary DNA (cDNA) including three HA tags (3×HA-hKOR, in pcDNA3.1 was cloned into a murine stem cell retroviral expression vector. Human GIRK1 (hGIRK1), human RGS4 (hRGS4), human RGS9 variant 2 (hRGS9.2), and human RGS 12 variant 3 (hRGS12.3) cDNA were purchased from OriGene, and hGIRK2 cDNA was purchased from GE Life Sciences. For 3×HA-hKOR-hGIRK1-hGIRK2, 3×HA-hKOR-Myc-hRGS4, or −9.2 or −12.3 constructs, the cDNA of each gene (cDNA were purchased from was cloned into a murine stem cell retroviral expression vector translationally linked by a high-efficient self-cleaving 2A peptide to ensure similar expression of each gene (66, 67). The cDNA of mouse KOR (Mammalian Gene Collection) was first cloned to N-terminal HA-tagged vector with the cytomegalovirus (CMV) promoter (Clontech). Then, the CMV promoter-mKOR sequence was subcloned into murine stem cell retroviral expression vector with hygromycin selection marker. Primer sequences are shown in table S5.

CHO cell lines stably expressing hKOR with hGIRK1/2 channels, or hKOR with hRGS proteins, a SH-SY5Y cell line stably expressing hKOR, and WT and βarr1/2-KO MEF cell lines that stably express hKOR or mKOR were generated by viral transduction using a Phoenix-HEK cell expression system. Infected cells were then subjected to puromycin selection and flow cytometry to select the cell populations with HA surface expression to make the cell lines (CHO-hKOR-hGIRK1/2, CHO-hKOR-hRGS4, CHO-hKOR-hRGS9.2, CHO-hKOR-hRGS12.3, SH-SY5Y-hKOR, and WT or βarr1/2 KO MEF-hKOR or mKOR). For the CHO-mKOR and U2OS-β-arrestin2-GFP-mKOR cell lines, the mKOR cDNA was expressed in CHO and U2OS-β-arrestin2-GFP cells by electroporation. The cells were then selected by hygromycin and subjected to flow cytometry to select cells for stable cell line propagation.

Cell culture

All CHO cell lines were maintained in Dulbecco’s modified Eagle’s medium (DMEM)/F-12 media (Invitrogen) supplemented with 10% fetal bovine serum (FBS), 1% penicillin/streptomycin, and either geneticin (500 μg/ml; CHO-hKOR cells) or puromycin (5 μg/ml; CHO-hKOR-hGIRK and CHO-hKOR-hRGS cells). WT and βarr1/2-KO MEF-hKOR or mKOR cells were maintained in DMEM (Invitrogen) supplemented with 10% FBS, 1% penicillin/streptomycin, and puromycin (5 μg/ml). U2OS-hKOR cells (DiscoveRx) and U2OS-βarr2-GFP-mKOR cells were maintained in MEM (Invitrogen) supplemented with 10% FBS, 1% penicillin/streptomycin, geneticin (500 μg/ml), and hygromycin (250 μg/ml). SH-SY5Y-hKOR and parental SH-SY5Y cells were maintained in DMEM/F12 GlutaMax media (Invitrogen) supplemented with 10% FBS and 1% penicillin/streptomycin with or without puromycin (0.5 μg/ml). All cells were grown at 37°C under 5% CO2 and 95% humidity.


WT and βarr2-KO were generated by homozygous breeding to generate neurons. Littermates of mixed male and female pups were euthanized on postnatal day 1 and prepared for primary neuron cultures as described below. All experiments were performed with the approval of the Institutional Animal Care and Use Committee of The Scripps Research Institute and in accordance with National Institutes of Health (NIH) guidelines.

Primary neuronal culture

Primary striatal neuronal cultures were using postnatal day 1 mouse neonates from homozygous breeding of WT or βarr2-KO mice. Striatal neurons were prepared as described (68). Neurons were plated on a poly-l-lysine–coated 96-well plate for forskolin-stimulated cAMP accumulation assays or a poly-l-lysine–coated glass-bottom confocal dish for KOR internalization assays. Media were replaced with one-third of refresh neural basal complete media supplemented with 10 μM B-D-arabinofuranoside (Sigma #C1768) from day in vitro 4 (DIV4) every other day until assay was performed.

[35S]GTPγS binding assay

Membranes from CHO-hKOR cells were prepared as described previously (28, 37). For each reaction, 15 μg of membrane protein was incubated in an assay buffer containing 0.1 nM [35S]GTPγS and compounds of increasing concentrations in a total volume of 200 μl for 1 hour at room temperature. Membranes from SH-SY5Y-hKOR cells and brain tissues were prepared as described previously (69). For each reaction, 2.5 μg of membrane protein was incubated in an assay buffer containing 0.1 nM [35S]GTPγS and compounds of increasing concentrations in a total volume of 200 μl for 2 hours at room temperature. The reactions were then filtrated through 96-well GF/B filter plates (PerkinElmer) using a 96-well plate harvester (Brandel Inc.). The filters were dried at room temperature overnight, and the radioactivity was determined by a TopCount NXT Microplate Scintillation and Luminescence Counter (PerkinElmer Life Sciences).

β-Arrestin2 recruitment assay

The PathHunter β-arrestin assay was performed according to the manufacturer’s protocol (DiscoveRx) and as described previously (28, 37). Briefly, 5000 U2OS-β-arrestin2-EFC-hKOR cells were plated in 384-well white plates with Opti-MEM media (Invitrogen) containing 1% FBS ± pertussis toxin (100 ng/ml) overnight. The next day, cells were treated with compounds for 90 min at 37°C, followed by a 1-hour incubation of detection reagent at room temperature. Luminescence values were determined by using a Synergy HT luminometer (BioTek).

For β-arrestin2-GFP confocal imaging, 5000 U2OS-β-arrestin2-GFP-mKOR cells were split into a 384-well plate with MEM (Invitrogen) supplemented with 10% FBS in 37°C incubator overnight. The cells were then serum-starved in MEM for 30 min, followed by 20-min drug treatment at 37°C, and 30-min 4% paraformaldehyde fixation and Hoechst staining at room temperature. Each condition was duplicated, and one image in each well was acquired by using an Olympus FluoView IX81 confocal microscope (Olympus).

Forskolin-stimulated cAMP accumulation assay

Four thousand cells per well were split into 384-well low-volume plate (VWR) with Opti-MEM (Invitrogen) supplemented with 1% FBS for 3 hours at 37°C except SH-SY5Y-hKOR cells, which were plated for 1 hour at 37°C. Cells were then treated with drugs, 25 μM 4-(3-butoxy-4-methoxybenzyl)imidazolidin-2-one (PDE4 inhibitor), and 20 μM forskolin for 30 min at room temperature.

For membrane-based inhibition of cAMP accumulation assay, membrane preparation was adapted from Allen et al. (70). Briefly, CHO-hKOR cells were incubated in serum-free DMEM/F12 media for 60 min. Cells were then homogenized by a Dounce homogenizer 15 times in an ice-cold buffer [50 mM Hepes (pH 7.4)], followed by centrifugation at 500g at 4°C for 5 min. The supernatant was transferred to a 1.5-ml tube on ice, and the pellet was resuspended, homogenized, and centrifuged at 500g at 4°C for 5 min. Then, the supernatant was combined and spun at 20,000g at 4°C for 10 min. The membrane pellet was resuspended in an ice-cold buffer [50 mM Hepes (pH 7.4)] at concentrations of 2 to 4 μg protein/ul. Membranes were stored at −80°C until use. For forskolin-stimulated cAMP accumulation assay, membranes were diluted in an assay buffer (50 mM Hepes, 10 mM MgCl2, 100 mM NaCl, 200 μM adenosine 5′-triphosphate, 10 μM GTP, 100 μM 3-isobutyl-1-methylxanthine, 20 μM forskolin, and 30 μM bovine serum albumin) and plated at 2 μg of protein in each well. Membranes were treated with test compounds for 30 min at room temperature. The cAMP levels were determined as per the manufacturer’s instructions (Cisbio cAMP HiRange assay).

FLIPR calcium assay

CHO-hKOR cells (15,000 cells per well) were plated in a clear-bottom black 384-well plate (BD Falcon) with DMEM/F12 medium containing 10% FBS with or without pertussis toxin (100 ng/ml) for overnight. The cells were then incubated with 1× HBSS (Hanks’ balanced salt solution)/20 mM Hepes at 37°C for 2 hours followed by calcium-sensitive dye loading along with 125 mM probenecid for 1 hour at 37°C. The KOR agonist–induced intracellular calcium mobilization was determined by using a FLIPRTETRA instrument to measure fluorescence intensity [excitation/emission (Ex/Em) = 490 nm/515 nm].

FLIPR potassium assay

CHO-hKOR-hGIRK1/2 cells (12,500 cells per well) were plated in a clear-bottom black 384-well plate (BD Falcon) with complete DMEM/F12 medium overnight. The cells were then incubated with 1× HBSS/20 mM Hepes at 37°C for 2 hours, followed by thallium-sensitive dye loading along with 125 mM probenecid for 1.5 hours at room temperature. The KOR agonist–induced GIRK channel activation was determined by using a FLIPRTETRA instrument to measure fluorescence intensity (Ex/Em = 490 nm/515 nm).

KOR internalization assay

For KOR internalization assays, WT and βarr1/2 KO MEF-hKOR cells were cultured on collagen-coated glass-bottom confocal dishes. Primary striatal neurons were cultured on poly-l-lysine–coated glass-bottom confocal dishes and, at DIV4, were transfected with 3 μg of N-terminal HA-tagged mouse KOR cDNA using calcium phosphate precipitation as described (71), and the assay proceeded at DIV5/6. For both cell types, cells were then serum-starved in phenol red–free MEM (Invitrogen) for 30 min, followed by anti-HA Alexa Fluor 488 antibody staining (1:100) at 37°C for 10 min. Then, images of live cells were taken by using an Olympus FluoView IX81 confocal microscope before and after drug treatment for 20 to 50 min.

Image analysis

NIH ImageJ was applied to analyze the cell number and β-arrestin2-GFP punctum number for the β-arrestin2 recruitment assay using confocal microscopy and to quantify the numbers of internalized KOR puncta in soma area determined according to the differential interference contrast images for KOR internalization assay in primary striatal neurons.

Data analysis and statistics

Data analysis was performed in GraphPad Prism 6 (GraphPad) to produce sigmoidal concentration-response curves by using the standard three-parameter equation. Agonist stimulation was determined and presented by normalizing all values to the top of the maximum response (Emax) produced by U69,593 or by normalizing to vehicle to show the fold over vehicle. The values of half maximal effective concentration (EC50) and Emax for all drugs were obtained from the average of n ≥ 3 from individual experiment and presented as means ± SEM. For receptor internalization assays in primary striatal neurons, the limited number of neurons from each preparation permitted a limited number of KOR agonist concentrations to be tested, along with vehicle, for each experiment. The EC50 and Emax values for KOR internalization in primary striatal neuron were estimated by fitting the averaged data points from each experiment.

For comparison of the results between each cell-based functional assay, each data set was fit to the operational model using GraphPad Prism 6. Specifically, the agonist that produced the greatest maximal response was fit to Eq. 1 (72, 73):Response = Bottom +Emax Bottom1+(1+10X10(X+LogRReference))n(1)The Emax is the maximal response of the system, Bottom is the baseline level of response, X is the agonist concentration, and n is the transducer slope. The parameter LogR is the transduction coefficient; LogR is a composite parameter that incorporates both the affinity and efficacy of the agonist into single parameter values (48). Except where indicated, U69,593 is used as the reference compound. Other partial agonists were fit to Eq. 2:Response = Bottom +EmaxBottom1+(1+10(XLogKA)10(X+LogRReference+LogRAiTest))n(2) The parameter definitions in Eq. 2 are identical to Eq. 1. Two additional parameters are included in Eq. 2: The LogKA is the agonist equilibrium affinity constant and the LogRAiTest is the difference in LogR values between the reference and test agonist. The LogRAiTest value of each test compound was used to produce bias factors by subtracting Δlog(τ/KA)assay of each agonist accordingly in two assays to generate ΔΔlog(τ/KA)assay1−assay2 as expressed in Eq. 3:Bias factor=10ΔΔlog(τ/KA)assay1-assay2=10(10Δlog(τ/KA)assay110Δlog(τ/KA)assay2)(3)Triazole 1.1 is more efficacious than U69,593 in the [35S]GTPγS binding assays with striatal membrane and the inhibition of cAMP accumulation assays in primary striatal neurons. For this reason, triazole 1.1 was used to determine the maximum response in the system. To produce a complete picture of the effects observed, the bias factor was also produced from nonlinear regression using the three-parameter dose-response equation, as a function of the Emax and EC50, using the equation indicated in Eq. 4:Bias factor =10ΔΔlog(Emax/EC50)assay1-assay2=10(10Δlog(Emax/EC50)assay110Δlog(Emax/EC50)assay2)(4)Statistical tests are noted in the figure legends. Student’s t test indicates an unpaired two-tailed analysis for at least three of independent experiments performed in multiple replicates.


Fig. S1. KOR agonists do not stimulate cAMP accumulation.

Fig. S2. KOR agonist potency for inhibiting forskolin-stimulated cAMP accumulation is not affected by changing the incubation time.

Fig. S3. RGS protein effects on KOR-regulated adenylyl cyclase activity.

Fig. S4. Triazole 1.1 and iso 2.1 display similar signaling profiles in CHO and U2OS cells stably expressing mouse KOR as they do expressing human KOR.

Fig. S5. β-arrestins are not required for KOR-regulated adenylyl cyclase activity.

Fig. S6. β-arrestins are required for KOR internalization.

Table S1. Signaling parameters for the time course inhibition of forskolin-stimulated cAMP accumulation in CHO-hKOR cells.

Table S2. Signaling parameters for the KOR agonists in the functional assays in CHO-mKOR cells.

Table S3. Signaling parameters for the KOR agonists in the inhibition of forskolin-stimulated cAMP accumulation in WT and β-arrestin1/2-KO MEF-mKOR cells.

Table S4. Signaling parameters for the inhibition of cAMP accumulation in CHO cells stably expressing hKOR alone or with hRGS4, hRGS9.2, or hRGS12.3.

Table S5. Primer sequences.


Acknowledgments: We appreciate L. Barak (Duke University) for providing us with the U2OS-β-arrestin2-GFP cell line. Funding: This work was supported by National Institute on Drug Abuse grant R01DA031297 to L.M.B. and J.A. Author contributions: J.-H.H. designed and performed the pharmacological assays. J.H-.H., E.L.S., and L.M.B. performed the data analysis. C.L.S. made substantial contributions to conception of this study. J.A. and S.M.S. provided medicinal chemistry expertise. J.H.-H. and L.M.B. wrote the manuscript. Competing interests: The authors declare that they have no competing interests. Data and materials availability: All data needed to evaluate the conclusions in the paper are present in the paper or the Supplementary Materials.

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