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Fentanyl-Rewired: A 2-Azaspiro[3.3]heptane Core Preserves μ-Opioid Function
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  • Arran W. Stewart
    Arran W. Stewart
    Department of Chemistry and Immunology, The Skaggs Institute for Chemical Biology, Worm Institute of Research and Medicine (WIRM), The Scripps Research Institute, La Jolla, California 92037, United States
  • Lisa M. Eubanks
    Lisa M. Eubanks
    Department of Chemistry and Immunology, The Skaggs Institute for Chemical Biology, Worm Institute of Research and Medicine (WIRM), The Scripps Research Institute, La Jolla, California 92037, United States
  • Mingliang Lin
    Mingliang Lin
    Department of Chemistry and Immunology, The Skaggs Institute for Chemical Biology, Worm Institute of Research and Medicine (WIRM), The Scripps Research Institute, La Jolla, California 92037, United States
  • Kim D. Janda*
    Kim D. Janda
    Department of Chemistry and Immunology, The Skaggs Institute for Chemical Biology, Worm Institute of Research and Medicine (WIRM), The Scripps Research Institute, La Jolla, California 92037, United States
    *[email protected]
    More by Kim D. Janda
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ACS Medicinal Chemistry Letters

Cite this: ACS Med. Chem. Lett. 2026, 17, 2, 458–463
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https://doi.org/10.1021/acsmedchemlett.5c00672
Published January 22, 2026

Copyright © 2026 The Authors. Published by American Chemical Society. This publication is licensed under these Terms of Use.

Abstract

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Fentanyl is a benchmark μ-opioid analgesic but is constrained by respiratory risk. Searching for new entities with reduced respiratory liability, pharmacophore portability was probed by replacing the piperidine moiety with 2-azaspiro[3.3]heptane while preserving phenethyl/anilide geometry. This spiro analogue retained fentanyl-class behavior─μ-opioid receptor (MOR)-preferred binding (MOR > κ-opioid receptor (KOR) ≫ δ-opioid receptor (DOR)), absent β-arrestin-2 recruitment, and full hot-plate/tail-flick antinociception─despite ∼102-fold right-shift in potency versus fentanyl. In mice, it was stable and short-acting with a serum half-life of ∼27 min after an intravenous bolus dose. Whole-body plethysmography showed rapid, dose-dependent depression of respiration that was evident only at high doses. In sum, these studies present a topology-level core swap; preserving the fentanyl signature while decoupling potency from exposure, mapping the pharmacophore’s boundary conditions and providing an actionable, spiro-enabled blueprint to tune MOR signaling and disposition─and recover affinity via structure–activity relationship (SAR)─for next-generation opioid leads.

This publication is licensed for personal use by The American Chemical Society.

Copyright © 2026 The Authors. Published by American Chemical Society

Opioid analgesics remain essential for severe pain, (1) yet their use is constrained by dose-limiting adverse effects and a public-health crisis driven by potent synthetics. (2) Fentanyl is an exceptionally efficacious MOR agonist that produces rapid, profound analgesia, (2) but also carries a well-documented risk of life-threatening respiratory depression (3) and has been a major driver of opioid overdose mortality when used nonmedically or encountered as illicitly manufactured fentanyl in the drug supply. (4) These pressures sharpen a central goal in opioid structure activity studies: preserve MOR-mediated analgesia while reshaping pharmacology to reduce risk.

One route to examine the phenylpiperidine class of synthetic opioid pharmacology is through scaffold hopping within the fentanyl chemotype to survey which elements encode its biological signature. Piperidine is the canonical core of fentanyl and a privileged motif across many drugs. (5) Compact spirocyclic amines─especially azaspiro[3.3]heptanes─have emerged as practical piperidine bioisosteres that maintain amine basicity and relative orientation of substituents while adding conformational restraint and three-dimensional shape. (6,7) Across matched pairs, azaspiro[3.3]heptanes typically lower lipophilicity, (8) increase intrinsic solubility, (7) and often reduce microsomal clearance versus six-membered monocyclic analogues (7)─advantages that have translated to comparable activity with improved metabolic stability in other series. (7)

Prior ring edits to the 4-anilidopiperidine scaffold─either conformationally restricting it to tropane frameworks or expanding it to perhydroazepines─showed potency to be highly stereochemistry-dependent, with several analogues losing efficacy or retaining morphine-like liability profiles. (9,10) Because these approaches primarily probed ring contraction/expansion within the 4-anilidopiperidine framework without clearly uncoupling analgesia from morphine-like dependence, we replaced the piperidine with a compact 2-azaspiro[3.3]heptane bioisostere within the fentanyl chemotype, preserving key vectors while introducing a compact 3D constraint and new physicochemical/pharmacokinetic tuning potential to test whether μ-opioid pharmacology can be retained yet signaling and disposition shifted.

In parallel, attempts to dissociate analgesia from respiratory depression have focused on MOR signaling, (11) particularly the balance between G-protein and β-arrestin-2 pathways. (12) Fentanyl engages both pathways at MOR. (13) By contrast, weak β-arrestin-2-recruiting ligands display distinct in vivo effects, (14,15) implying that the relative engagement of G-protein versus β-arrestin-2 pathways modulates the overall phenotype. (14,16) While the clinical generality remains debated, (17,18) deliberately tuning MOR signaling remains a compelling strategy for next-generation opioids.

Based upon this agenda, we probed portability by swapping the piperidine for 2-azaspiro[3.3]heptane while preserving phenethyl and anilide orientations (Figure 1). Across orthogonal assays─MOR/DOR/KOR binding, β-arrestin-2 readout, mouse-serum stability, pharmacokinetics, antinociception, acute tolerability, and whole-body plethysmography─the spiro core preserved a fentanyl-like profile yet shifted potency, exposure, and β-arrestin recruitment. The outcome establishes a practical template: spiro substitution can retain class-defining μ-opioid pharmacology while opening tractable levers in signaling and disposition to engineer wider therapeutic indices.

Figure 1

Figure 1. Structures of bioisostere analogue 1 and fentanyl, 2.

To enable evaluation, we developed a concise four-step synthesis of analogue 1 from commercial tert-butyl 6-oxo 2-azaspiro[3.3]heptane-2-carboxylate (Scheme 1). Synthesis started with the reductive amination of the C-6 ketone with aniline and NaBH(OAc)3, giving secondary amine 3 quantitatively, while the Boc group was retained to dampen basicity on the N(spiro) ring as well as suppress side reactions during the condensation/reduction. With 3 secure, acylation of the aniline with propionyl chloride furnished propionanilide 4 in 56% yield. It should be mentioned that Boc protection upon the N(spiro) functionality prevented competing acylation and ensured anilide selectivity. Boc deprotection with TFA was then employed to unmask the ring’s secondary amine, affording 5. Finally, N-alkylation with 2-phenethyl iodide afforded N-phenethyl tertiary amine 1 in 73% yield over two steps. It is worth noting that the iodide electrophile consistently outperformed the bromide in this SN2 step, giving higher conversion and fewer byproducts, which simplified purification. Finally, it should be understood that this route mirrors canonical fentanyl syntheses (19) from 4-piperidone while enabling the spirocyclic replacement of piperidine.

Scheme 1

Scheme 1. Synthesis of the 2-Azaspiro[3.3]heptane Fentanyl Analogue 1

To translate the chemical design into pharmacology, in vitro binding studies for 1 were performed off-site under a standardized protocol. The binding affinity of 1 for the opioid receptors was evaluated by using competitive radioligand displacement assays in a two-stage workflow. In the primary screen, 1 was tested at a concentration of 10 μM resulting in%-inhibition of 78.79 ± 2.14% at MOR, 65.94 ± 5.41% at KOR, and 28.60 ± 5.10% at DOR, thus exhibiting the rank order MOR > KOR ≫ DOR. Owing to the low DOR signal (<50% inhibition), secondary radioligand binding assays focused on MOR and KOR using [3H]DAMGO and [3H]U69593, respectively (Figure 2). Full concentration curves of 1 were generated across two independent assays per target receptor resulting in binding affinities of Ki = 1.17–1.68 μM (geometric mean 1.40 μM, pKi ≈ 5.85) at MOR and Ki = 3.70–5.03 μM (geometric mean 4.32 μM, pKi ≈ 5.36) at KOR, corresponding to ∼3-fold selectivity for MOR over KOR.

Figure 2

Figure 2. Competitive radioligand binding of 1 at (A) the μ-opioid receptor (MOR) and (B) the κ-opioid receptor (KOR), with morphine and salvinorin A included as positive control ligands, respectively.

The β-arrestin activity of 1 was assessed using a β-arrestin-2 recruitment assay in comparison to the reference MOR agonist DAMGO (Figure S1). While DAMGO produced a robust β-arrestin-2 recruitment response, 1 produced no detectable signal over the concentration range tested (up to ∼30 μM), indicating no measurable β-arrestin-2 recruitment under these conditions and implying that any β-arrestin-2 engagement, if present, lies below the assay’s detection threshold.

With serum degradation unlikely to limit exposure, we next characterized the in vivo disposition of 1. Analysis of the plasma concentration–time profile (Figure 3) shows rapid systemic exposure following administration of a intravenous (IV) bolus dose of 150 μg/kg, with a subsequent monoexponential decline. Noncompartmental modeling afforded an elimination half-life of approximately 27 min, a clearance of 13.3 mL·min–1·kg–1 and a volume of distribution of 0.52 L·kg–1. Extrapolation to time zero gave C0 ≈ 6.7 μM, and the area under the curve was AUC0–∞ ≈ 10 μM·min. Together, these observations are characteristic of a short-acting profile with low-moderate clearance and modest distribution

Figure 3

Figure 3. Plasma concentration–time profile of fentanyl bioisostere 1. Compound 1 displayed a rapid peak in plasma concentration at 5 min, followed by a monoexponential decline consistent with first-order elimination kinetics. The observed pharmacokinetic profile supports rapid systemic exposure and moderate clearance. Mice (n = 6) were administered 150 μg/kg drug (IV) and blood samples were collected at 5, 15, 30, 60, and 120 min post-injection, alternating three mice every other time point. Bars denote means ± SEM.

For context, previous acute mouse biodistribution studies comparing respiratory-depressant-relevant doses of fentanyl and morphine reported that fentanyl (0.3 mg/kg sc) reaches maximal concentrations in key tissues on a rapid time scale, with tmax ∼ 15 min in whole blood, brain, liver, and lung, and exhibits greater early redistribution from blood into brain, liver, lung, and heart than morphine. (20) Against this benchmark, the IV pharmacokinetics of 1─with rapid exposure evident by the earliest sampling point (5 min) and a short elimination half-life (∼27 min)─is consistent with an acute, short-acting profile appropriate for fentanyl-class comparison.

To evaluate potential toxicity, mice (n = 4 per dose) received increasing amounts of 1 (IV) and were monitored continuously for adverse effects and mortality. At 10 mg kg–1, mice appeared normal with no indication of distress or signs of acute toxicity except for slight piloerection. At 30 mg kg–1, mild and brief seizure activity was observed in all animals along with immediate and prominent piloerection. At 50 mg kg–1, generalized clonic-tonic seizures occurred rapidly and persisted in all mice; 2 of 4 mice died within 5–10 min at this dose. These data establish a dose-dependent neurotoxic threshold under acute IV bolus conditions and delineate a practical upper bound for subsequent efficacy studies.

MOR activation triggers intracellular signaling pathways thought to be associated with analgesia and respiratory depression, respectively. (11) To determine whether the spiro substitution preserves system-level analgesia, we evaluated 1 alongside fentanyl (reference control) in both hot plate and tail flick antinociception assays, which are often used to measure supraspinally and spinally mediated analgesic potencies of opioid-like drugs in rodents. In these assays, animals are cumulatively dosed with drug (IP) and their response to thermal stimuli measured until 100% maximal potential effect (MPE) is reached. Effective dose 50 (ED50) values calculated from the dose–response curves enables quantitative comparison of drug analgesic potencies. As anticipated, fentanyl produced strong analgesic effects in the μg/kg range, with ED50 values of 82 and 87 μg/kg for hot plate and tail flick tests, respectively (Figure 4). In contrast, a mg/kg dosing range of 1 was required to produce a measurable effect resulting in hot plate and tail flick ED50 values of 9 and 14 mg/kg. These ED50 values correspond to ∼115-fold (hot plate) and ∼165-fold (tail flick) lower potency for 1, yet full antinociceptive efficacy was still achieved. Notably, during dosing of 1, piloerection was observed at all concentrations and became more pronounced with increasing doses. However, the straub tail effect, a classic opioid-induced response caused by CNS activation, was only noticeable in fentanyl-dosed mice and not observed in mice dosed with 1.

Figure 4

Figure 4. Behavioral results for antinociception assays. Mice (n = 6) were cumulatively dosed (IP) with fentanyl or fentanyl bioisostere 1 and latency to nociception was measured in hot plate (A) and tail flick (B) tests. Calculated ED50 values were from dose–response curves (C). Bars denote means ± SEM ***P < 0.001, unpaired t-test.

Drug-induced respiratory depression is a serious and often fatal side effect of opioid medications caused by activation of MOR. (21,22) Thus, whole-body plethysmography was used to measure the potential respiratory depressive effects of 1 (Figure 5). Mice dosed with 1 (IP) generally showed a dose-dependent decrease in minute volume (MV) between 5 and 40 mg/kg with maximal respiratory depression observed within ∼10 min, consistent with other opioids. (23) However, MV returned to baseline within 25 min post-injection of all doses.

Figure 5

Figure 5. Effect of analogue 1 on mouse respiration. Minute volume (MV) was dose-dependently depressed by 1 reaching maximal respiratory depression at ∼10 min but returning to baseline within 25–30 min. Mice (n = 8 per group) were administered drug (5–40 mg/kg, IP), and respiration was measured by whole-body plethysmography. MV is plotted as the percent baseline with respect to time post-drug challenge. Statistical comparison between groups was made by two-way ANOVA [Fdose (4, 35) = 5.43; P = 0.0017] with Bonferroni’s comparison. Closed symbols indicate significant differences compared to the no drug control group at individual time points (p ≤ 0.05). Bars denote mean ± SEM.

Thus, 1 produces a rapid but transient ventilatory liability typical of opioids, normalizing by ∼25–30 min. Framed by this profile, we asked how far the fentanyl pharmacophore can be altered while preserving MOR preference and robust antinociception while retuning signaling and disposition. To probe this query, we replaced the central piperidine to a 2-azaspiro[3.3]heptane, with phenethyl/anilide geometry preserved, which delivered a recognizably fentanyl-class phenotype (MOR-preferred binding; full analgesic efficacy) but diverged from fentanyl in pathway engagement, showing abolished β-arrestin-2 recruitment activity despite fentanyl’s known engagement of this pathway. (24)

Receptor pharmacology quantified the portability of such a bioisosteric replacement approach. Thus, in primary affinity analysis the analogue favored MOR over KOR ≫ DOR, and secondary determinations placed MOR affinity in the low micromolar range (Ki ≈ 1.17–1.68 μM) with weaker KOR binding (Ki ≈ 3.70–5.03 μM). Although absolute potency is markedly reduced versus the typical low-nanomolar MOR Ki of fentanyl, the selectivity pattern is preserved using the spiro core, providing a clear baseline for structure–activity efforts to recover affinity while maintaining target preference.

Moreover, pharmacokinetics indicated a short-acting compound with moderate clearance and a modest volume of distribution. After an IV bolus dose, plasma concentrations declined monoexponentially; a parameter set that does not suggest extensive tissue retention. The molecule was stable in mouse serum for more than 24 h, indicating that the brief exposure reflects its pharmacokinetic properties rather than rapid degradation.

Assessing acute toxicity via bolus IV injections, we observed liabilities only at higher exposures. At 10 mg kg–1, animals displayed piloerection without seizure activity. At 30 mg kg–1, brief seizure activity occurred without mortality; at 50 mg kg–1, seizures were universal with 50% lethality within ∼5–10 min. During antinociception testing, seizure activity was noted in one mouse at a cumulative IP dose of 60 mg kg–1. However, these adverse effects arose at drug doses well above those producing maximal antinociceptive effects, indicating that significant efficacy is attainable below the threshold for neurobehavioral toxicity. These findings motivate exposure–response studies (brain/plasma Cmax and rate-of-rise), evaluation of route/formulation influences, receptor-level antagonism, and EEG/telemetry, as well as SAR around the spiro amine and anilide/phenethyl regions, to further separate efficacy from high-dose liabilities.

To contextualize the in vitro pharmacology, we docked fentanyl and 1 into the MOR. In our model, 1 adopts a pose that preserves the canonical ionic/hydrogen-bonding anchor to Asp3.32 (Asp149 in our system) and additionally engages His6.52 (His299) (25) via π–π stacking (Figure 6). By comparison, fentanyl retains the Asp3.32 interaction and exhibits a more extensive secondary stabilization network within the aromatic pocket, including H-bonding to Tyr3.33 (Tyr150) (26) and π–π/edge-to-face contacts with Trp6.48 (Trp295), Tyr7.43 (Tyr328), and Trp2.63 (Trp135) (Figure 6). Thus, relative to fentanyl, (25,27) the spiro analogue appears to attenuate aromatic cage engagement beyond the primary Asp3.32 anchor, with fewer cooperative contacts spanning TM2/3/6/7, consistent with a qualitatively shallower aromatic packing environment. In line with this interaction profile, fentanyl scored more favorably than 1 (docking scores: fentanyl – 7.445 vs 1 – 5.674; more negative indicates stronger predicted affinity). We note that docking provides a static, receptor-state-dependent snapshot; thus, while these interactions are consistent with known MOR pharmacophore elements (D3.32 salt bridge/H-bond and a multiresidue aromatic cage across TM2/3/6/7), they should be interpreted cautiously with respect to efficacy or bias. Complementing the binding-site interaction modeling, docking renderings of the MOR orthosteric site show the poses of bioisostere 1, fentanyl, and their overlay to illustrate conserved D3.32 anchoring and the reduced/shifted aromatic engagement of 1 relative to fentanyl (Figure 7).

Figure 6

Figure 6. Binding-site interactions for (A) fentanyl and (B) bioisostere 1 at the MOR, highlighting polar anchors and aromatic contacts. We note that docking provides a static, receptor-state-dependent snapshot; thus, while these interactions are consistent with known MOR pharmacophore elements (D3.32 salt bridge/H-bond and a multiresidue aromatic cage across TM2/3/6/7), they should be interpreted cautiously with respect to efficacy or bias.

Figure 7

Figure 7. Molecular docking at the MOR orthosteric site. (A) 2-azaspiro[3.3]heptane bioisostere 1 (red sticks), (B) fentanyl (green sticks), and (C) overlay of 1 (red) and fentanyl (green).

In summary, these results reframe what is possible for the fentanyl chemotype. A wholesale piperidine→2-azaspiro[3.3]heptane swap preserves a recognizably fentanyl-like phenotype─maintained MOR preference, full antinociception, and a transient, frequency-driven ventilatory effect─while decisively shifting both potency and exposure. Crucially, the analogue also separates from fentanyl along two liability-relevant axes: no apparent β-arrestin-2 engagement (fentanyl recruits this pathway (24)) and respiratory depression that emerges only at mg/kg doses and appears short-lived, rather than the μg/kg range typical for fentanyl. (28) Put simply, this is not just pharmacophore portability; it is a usable design lever.

The spiro core offers a concrete way to disentangle efficacy from features that often track with risk. It retains the essential Asp3.32 anchoring logic of the fentanyl scaffold, yet opens multiple, experimentally tractable knobs for optimization. First, anilide electronics can potentially be tuned with simple para-substitution (e.g., p-F, p-Cl, p-CF3, p-OMe) to rebalance aromatic-pocket stabilization without disrupting the conserved ionic/H-bonding anchor. Second, the phenethyl vector provides a high-yield opportunity to shape conformational preference and deepen engagement with the MOR aromatic cage; α-methyl or 3-methyl substitutions are obvious, fentanyl-validated moves to test in this new topological context. Third, the basicity and residence of the 2-azaspiro[3.3]heptane nitrogen can be systematically modulated via proximal electron-withdrawing substitution (e.g., α-fluoro or gem-difluoro patterns on the spiro framework), offering a clean way to interrogate potency–bias relationships while keeping the scaffold hop intact.

Taken together, this blueprint suggests a disciplined path forward: preserve the “fentanyl signature” at MOR, deliberately reprogram signaling and exposure through the spiro topology, and then recover affinity by iterating these specific SAR levers under exposure-matched functional readouts─including respiratory time course. The broader implication is simple and powerful: topological remodeling can convert a historically rigid chemotype into a modular platform for separating desirable opioid efficacy from key mechanistic liabilities.

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The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acsmedchemlett.5c00672.

  • Experimental procedures, NMR spectra, HPLC traces, Supporting Figure 1, Supplementary tables, Supplementary references (PDF)

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Author Information

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  • Corresponding Author
    • Kim D. Janda - Department of Chemistry and Immunology, The Skaggs Institute for Chemical Biology, Worm Institute of Research and Medicine (WIRM), The Scripps Research Institute, La Jolla, California 92037, United StatesOrcidhttps://orcid.org/0000-0001-6759-4227 Email: [email protected]
  • Authors
    • Arran W. Stewart - Department of Chemistry and Immunology, The Skaggs Institute for Chemical Biology, Worm Institute of Research and Medicine (WIRM), The Scripps Research Institute, La Jolla, California 92037, United StatesOrcidhttps://orcid.org/0009-0001-6276-3922
    • Lisa M. Eubanks - Department of Chemistry and Immunology, The Skaggs Institute for Chemical Biology, Worm Institute of Research and Medicine (WIRM), The Scripps Research Institute, La Jolla, California 92037, United StatesOrcidhttps://orcid.org/0000-0001-5288-6294
    • Mingliang Lin - Department of Chemistry and Immunology, The Skaggs Institute for Chemical Biology, Worm Institute of Research and Medicine (WIRM), The Scripps Research Institute, La Jolla, California 92037, United StatesOrcidhttps://orcid.org/0000-0002-3325-4539
  • Author Contributions

    Arran W. Stewart: Writing – review and editing, Writing – original draft, Visualization, Methodology, Investigation, Formal analysis, Data curation, Conceptualization. Lisa M. Eubanks: Writing – review and editing, Visualization, Validation, Methodology, Investigation, Formal analysis, Data curation, Conceptualization. Mingliang Lin: Validation, Methodology, Investigation, Formal analysis, Data curation. Kim D. Janda: Writing – review and editing, Supervision, Resources, Project administration, Funding acquisition, Conceptualization.

  • Notes
    The authors declare no competing financial interest.

    No unexpected or unusually high safety hazards were encountered. All animal studies were performed in accordance with Scripps Research IACUC Protocol #08-0127.

Acknowledgments

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We thank the NIMH Psychoactive Drug Screening Program (PDSP, UNC Chapel Hill) for conducting the MOR/β-arrestin assays. This work was supported by the Shadek Family Foundation.

Abbreviations

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ANOVA

analysis of variance

AUC

Area under the curve

Boc

tert-butoxycarbonyl

Cmax

maximum concentration

CNS

central nervous system

DAMGO

[d-Ala2, N-MePhe4, Gly-ol]-enkephalin

DOR

δ-opioid receptor

ED50

effective dose 50

EEG

electroencephalography

Ki

inhibition constant

KOR

κ-opioid receptor

MOR

μ-opioid receptor

MPE

maximal possible effect

MV

minute volume

NaBH(OAc)3

sodium triacetoxyborohydride

NIMH

National Institute of Mental Health

PDSP

Psychoactive Drug Screening Program

pKi

negative log10 of Ki value

SAR

structure–activity relationship

SN2

bimolecular nucleophilic substitution

TFA

trifluoroacetic acid

t1/2

elimination half-life

References

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This article references 28 other publications.

  1. 1
    Burns, S. M.; Cunningham, C. W.; Mercer, S. L. DARK Classics in Chemical Neuroscience: Fentanyl. ACS Chem. Neurosci. 2018, 9 (10), 24282437,  DOI: 10.1021/acschemneuro.8b00174
  2. 2
    Han, Y.; Yan, W.; Zheng, Y.; Khan, M. Z.; Yuan, K.; Lu, L. The rising crisis of illicit fentanyl use, overdose, and potential therapeutic strategies. Translational Psychiatry 2019, 9 (1), 282,  DOI: 10.1038/s41398-019-0625-0
  3. 3
    Baird, A.; White, S. A.; Das, R.; Tatum, N.; Bisgaard, E. K. Whole body physiology model to simulate respiratory depression of fentanyl and associated naloxone reversal. Communications Medicine 2024, 4 (1), 114,  DOI: 10.1038/s43856-024-00536-5
  4. 4
    Nelson, L.; Schwaner, R. Transdermal fentanyl: Pharmacology and toxicology. Journal of Medical Toxicology 2009, 5 (4), 230241,  DOI: 10.1007/BF03178274
  5. 5
    Frolov, N. A.; Vereshchagin, A. N. Piperidine Derivatives: Recent Advances in Synthesis and Pharmacological Applications. International Journal of Molecular Sciences 2023, 24, 2937,  DOI: 10.3390/ijms24032937
  6. 6
    Burkhard, J. A.; Wagner, B.; Fischer, H.; Schuler, F.; Müller, K.; Carreira, E. M. Synthesis of Azaspirocycles and their Evaluation in Drug Discovery. Angew. Chem., Int. Ed. 2010, 49 (20), 35243527,  DOI: 10.1002/anie.200907108
  7. 7
    Kirichok, A. A.; Tkachuk, H.; Kozyriev, Y.; Shablykin, O.; Datsenko, O.; Granat, D.; Yegorova, T.; Bas, Y. P.; Semirenko, V.; Pishel, I. 1-Azaspiro[3.3]heptane as a Bioisostere of Piperidine. Angew. Chem., Int. Ed. 2023, 62 (51), e202311583  DOI: 10.1002/anie.202311583
  8. 8
    Degorce, S. L.; Bodnarchuk, M. S.; Scott, J. S. Lowering Lipophilicity by Adding Carbon: AzaSpiroHeptanes, a logD Lowering Twist. ACS Med. Chem. Lett. 2019, 10 (8), 11981204,  DOI: 10.1021/acsmedchemlett.9b00248
  9. 9
    Finney, Z. G.; Riley, T. N. 4-Anilidopiperidine analgesics. 3. 1-Substituted 4-(propananilido)perhydroazepines as ring-expanded analogs. J. Med. Chem. 1980, 23 (8), 895899,  DOI: 10.1021/jm00182a016
  10. 10
    Riley, T. N.; Bagley, J. R. 4-Anilidopiperidine analgesics. 2. A study of the conformational aspects of the analgesic activity of the 4-anilidopiperidines utilizing isomeric N-substituted 3-(propananilido)nortropane analogs. J. Med. Chem. 1979, 22 (10), 11671171,  DOI: 10.1021/jm00196a004
  11. 11
    Conibear, A.; Bailey, C. P.; Kelly, E. Biased signalling in analgesic research and development. Current Opinion in Pharmacology 2024, 76, 102465,  DOI: 10.1016/j.coph.2024.102465
  12. 12
    Che, T.; Dwivedi-Agnihotri, H.; Shukla, A. K.; Roth, B. L. Biased ligands at opioid receptors: Current status and future directions. Science Signaling 2021, 14 (677), eaav0320  DOI: 10.1126/scisignal.aav0320
  13. 13
    Bateman, J. T.; Levitt, E. S. Evaluation of G protein bias and β-arrestin 2 signaling in opioid-induced respiratory depression. American Journal of Physiology-Cell Physiology 2021, 321 (4), C681C683,  DOI: 10.1152/ajpcell.00259.2021
  14. 14
    Manglik, A.; Lin, H.; Aryal, D. K.; McCorvy, J. D.; Dengler, D.; Corder, G.; Levit, A.; Kling, R. C.; Bernat, V.; Hübner, H. Structure-based discovery of opioid analgesics with reduced side effects. Nature 2016, 537 (7619), 185190,  DOI: 10.1038/nature19112
  15. 15
    DeWire, S. M.; Yamashita, D. S.; Rominger, D. H.; Liu, G.; Cowan, C. L.; Graczyk, T. M.; Chen, X.-T.; Pitis, P. M.; Gotchev, D.; Yuan, C. A G Protein-Biased Ligand at the μ-Opioid Receptor Is Potently Analgesic with Reduced Gastrointestinal and Respiratory Dysfunction Compared with Morphine. Journal of Pharmacology and Experimental Therapeutics 2013, 344 (3), 708717,  DOI: 10.1124/jpet.112.201616
  16. 16
    Ramos-Gonzalez, N.; Paul, B.; Majumdar, S. IUPHAR themed review: Opioid efficacy, bias, and selectivity. Pharmacol. Res. 2023, 197, 106961,  DOI: 10.1016/j.phrs.2023.106961
  17. 17
    Kelly, E.; Conibear, A.; Henderson, G. Biased Agonism: Lessons from Studies of Opioid Receptor Agonists. Annual Review of Pharmacology and Toxicology 2023, 63, 491515,  DOI: 10.1146/annurev-pharmtox-052120-091058
  18. 18
    Haouzi, P.; McCann, M.; Tubbs, N. Respiratory effects of low and high doses of fentanyl in control and β-arrestin 2-deficient mice. Journal of Neurophysiology 2021, 125 (4), 13961407,  DOI: 10.1152/jn.00711.2020
  19. 19
    Valdez, C. A.; Leif, R. N.; Mayer, B. P. An Efficient, Optimized Synthesis of Fentanyl and Related Analogs. PLoS One 2014, 9 (9), e108250  DOI: 10.1371/journal.pone.0108250
  20. 20
    Goodson, R.; Poklis, J.; Elder, H. J.; Walentiny, D. M.; Dewey, W.; Halquist, M. Acute Biodistribution Comparison of Fentanyl and Morphine. Psychoactives 2024, 3, 437460,  DOI: 10.3390/psychoactives3040027
  21. 21
    Stein, C. Opioid Receptors. Annu. Rev. Med. 2016, 67, 433451,  DOI: 10.1146/annurev-med-062613-093100
  22. 22
    Kelly, E.; Sutcliffe, K.; Cavallo, D.; Ramos-Gonzalez, N.; Alhosan, N.; Henderson, G. The anomalous pharmacology of fentanyl. Br. J. Pharmacol. 2023, 180 (7), 797812,  DOI: 10.1111/bph.15573
  23. 23
    Hill, R. A.-O.; Santhakumar, R.; Dewey, W.; Kelly, E. A.-O.; Henderson, G. A.-O. Fentanyl depression of respiration: Comparison with heroin and morphine. Br. J. Pharmacol. 2020, 177, 254,  DOI: 10.1111/bph.14860
  24. 24
    de Waal, P. W.; Shi, J.; You, E.; Wang, X.; Melcher, K.; Jiang, Y.; Xu, H. E.; Dickson, B. M. Molecular mechanisms of fentanyl mediated β-arrestin biased signaling. PLOS Computational Biology 2020, 16 (4), e1007394  DOI: 10.1371/journal.pcbi.1007394
  25. 25
    Vo, Q. N.; Mahinthichaichan, P.; Shen, J.; Ellis, C. R. How μ-opioid receptor recognizes fentanyl. Nat. Commun. 2021, 12 (1), 984,  DOI: 10.1038/s41467-021-21262-9
  26. 26
    Zádor, F.; Király, K.; Essmat, N.; Al-Khrasani, M. Recent Molecular Insights into Agonist-specific Binding to the Mu-Opioid Receptor. Frontiers in Molecular Biosciences 2022, 9, DOI: 10.3389/fmolb.2022.900547
  27. 27
    Lipiński, P. F. J.; Kosson, P.; Matalińska, J.; Roszkowski, P.; Czarnocki, Z.; Jarończyk, M.; Misicka, A.; Dobrowolski, J. C.; Sadlej, J. Fentanyl Family at the Mu-Opioid Receptor: Uniform Assessment of Binding and Computational Analysis. Molecules 2019, 24, 740,  DOI: 10.3390/molecules24040740
  28. 28
    Williamson, J.; Kermanizadeh, A. A Review of Toxicological Profile of Fentanyl─A 2024 Update. Toxics 2024, 12, 690,  DOI: 10.3390/toxics12100690

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ACS Medicinal Chemistry Letters

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Published January 22, 2026

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  • Abstract

    Figure 1

    Figure 1. Structures of bioisostere analogue 1 and fentanyl, 2.

    Scheme 1

    Scheme 1. Synthesis of the 2-Azaspiro[3.3]heptane Fentanyl Analogue 1

    Figure 2

    Figure 2. Competitive radioligand binding of 1 at (A) the μ-opioid receptor (MOR) and (B) the κ-opioid receptor (KOR), with morphine and salvinorin A included as positive control ligands, respectively.

    Figure 3

    Figure 3. Plasma concentration–time profile of fentanyl bioisostere 1. Compound 1 displayed a rapid peak in plasma concentration at 5 min, followed by a monoexponential decline consistent with first-order elimination kinetics. The observed pharmacokinetic profile supports rapid systemic exposure and moderate clearance. Mice (n = 6) were administered 150 μg/kg drug (IV) and blood samples were collected at 5, 15, 30, 60, and 120 min post-injection, alternating three mice every other time point. Bars denote means ± SEM.

    Figure 4

    Figure 4. Behavioral results for antinociception assays. Mice (n = 6) were cumulatively dosed (IP) with fentanyl or fentanyl bioisostere 1 and latency to nociception was measured in hot plate (A) and tail flick (B) tests. Calculated ED50 values were from dose–response curves (C). Bars denote means ± SEM ***P < 0.001, unpaired t-test.

    Figure 5

    Figure 5. Effect of analogue 1 on mouse respiration. Minute volume (MV) was dose-dependently depressed by 1 reaching maximal respiratory depression at ∼10 min but returning to baseline within 25–30 min. Mice (n = 8 per group) were administered drug (5–40 mg/kg, IP), and respiration was measured by whole-body plethysmography. MV is plotted as the percent baseline with respect to time post-drug challenge. Statistical comparison between groups was made by two-way ANOVA [Fdose (4, 35) = 5.43; P = 0.0017] with Bonferroni’s comparison. Closed symbols indicate significant differences compared to the no drug control group at individual time points (p ≤ 0.05). Bars denote mean ± SEM.

    Figure 6

    Figure 6. Binding-site interactions for (A) fentanyl and (B) bioisostere 1 at the MOR, highlighting polar anchors and aromatic contacts. We note that docking provides a static, receptor-state-dependent snapshot; thus, while these interactions are consistent with known MOR pharmacophore elements (D3.32 salt bridge/H-bond and a multiresidue aromatic cage across TM2/3/6/7), they should be interpreted cautiously with respect to efficacy or bias.

    Figure 7

    Figure 7. Molecular docking at the MOR orthosteric site. (A) 2-azaspiro[3.3]heptane bioisostere 1 (red sticks), (B) fentanyl (green sticks), and (C) overlay of 1 (red) and fentanyl (green).

  • References


    This article references 28 other publications.

    1. 1
      Burns, S. M.; Cunningham, C. W.; Mercer, S. L. DARK Classics in Chemical Neuroscience: Fentanyl. ACS Chem. Neurosci. 2018, 9 (10), 24282437,  DOI: 10.1021/acschemneuro.8b00174
    2. 2
      Han, Y.; Yan, W.; Zheng, Y.; Khan, M. Z.; Yuan, K.; Lu, L. The rising crisis of illicit fentanyl use, overdose, and potential therapeutic strategies. Translational Psychiatry 2019, 9 (1), 282,  DOI: 10.1038/s41398-019-0625-0
    3. 3
      Baird, A.; White, S. A.; Das, R.; Tatum, N.; Bisgaard, E. K. Whole body physiology model to simulate respiratory depression of fentanyl and associated naloxone reversal. Communications Medicine 2024, 4 (1), 114,  DOI: 10.1038/s43856-024-00536-5
    4. 4
      Nelson, L.; Schwaner, R. Transdermal fentanyl: Pharmacology and toxicology. Journal of Medical Toxicology 2009, 5 (4), 230241,  DOI: 10.1007/BF03178274
    5. 5
      Frolov, N. A.; Vereshchagin, A. N. Piperidine Derivatives: Recent Advances in Synthesis and Pharmacological Applications. International Journal of Molecular Sciences 2023, 24, 2937,  DOI: 10.3390/ijms24032937
    6. 6
      Burkhard, J. A.; Wagner, B.; Fischer, H.; Schuler, F.; Müller, K.; Carreira, E. M. Synthesis of Azaspirocycles and their Evaluation in Drug Discovery. Angew. Chem., Int. Ed. 2010, 49 (20), 35243527,  DOI: 10.1002/anie.200907108
    7. 7
      Kirichok, A. A.; Tkachuk, H.; Kozyriev, Y.; Shablykin, O.; Datsenko, O.; Granat, D.; Yegorova, T.; Bas, Y. P.; Semirenko, V.; Pishel, I. 1-Azaspiro[3.3]heptane as a Bioisostere of Piperidine. Angew. Chem., Int. Ed. 2023, 62 (51), e202311583  DOI: 10.1002/anie.202311583
    8. 8
      Degorce, S. L.; Bodnarchuk, M. S.; Scott, J. S. Lowering Lipophilicity by Adding Carbon: AzaSpiroHeptanes, a logD Lowering Twist. ACS Med. Chem. Lett. 2019, 10 (8), 11981204,  DOI: 10.1021/acsmedchemlett.9b00248
    9. 9
      Finney, Z. G.; Riley, T. N. 4-Anilidopiperidine analgesics. 3. 1-Substituted 4-(propananilido)perhydroazepines as ring-expanded analogs. J. Med. Chem. 1980, 23 (8), 895899,  DOI: 10.1021/jm00182a016
    10. 10
      Riley, T. N.; Bagley, J. R. 4-Anilidopiperidine analgesics. 2. A study of the conformational aspects of the analgesic activity of the 4-anilidopiperidines utilizing isomeric N-substituted 3-(propananilido)nortropane analogs. J. Med. Chem. 1979, 22 (10), 11671171,  DOI: 10.1021/jm00196a004
    11. 11
      Conibear, A.; Bailey, C. P.; Kelly, E. Biased signalling in analgesic research and development. Current Opinion in Pharmacology 2024, 76, 102465,  DOI: 10.1016/j.coph.2024.102465
    12. 12
      Che, T.; Dwivedi-Agnihotri, H.; Shukla, A. K.; Roth, B. L. Biased ligands at opioid receptors: Current status and future directions. Science Signaling 2021, 14 (677), eaav0320  DOI: 10.1126/scisignal.aav0320
    13. 13
      Bateman, J. T.; Levitt, E. S. Evaluation of G protein bias and β-arrestin 2 signaling in opioid-induced respiratory depression. American Journal of Physiology-Cell Physiology 2021, 321 (4), C681C683,  DOI: 10.1152/ajpcell.00259.2021
    14. 14
      Manglik, A.; Lin, H.; Aryal, D. K.; McCorvy, J. D.; Dengler, D.; Corder, G.; Levit, A.; Kling, R. C.; Bernat, V.; Hübner, H. Structure-based discovery of opioid analgesics with reduced side effects. Nature 2016, 537 (7619), 185190,  DOI: 10.1038/nature19112
    15. 15
      DeWire, S. M.; Yamashita, D. S.; Rominger, D. H.; Liu, G.; Cowan, C. L.; Graczyk, T. M.; Chen, X.-T.; Pitis, P. M.; Gotchev, D.; Yuan, C. A G Protein-Biased Ligand at the μ-Opioid Receptor Is Potently Analgesic with Reduced Gastrointestinal and Respiratory Dysfunction Compared with Morphine. Journal of Pharmacology and Experimental Therapeutics 2013, 344 (3), 708717,  DOI: 10.1124/jpet.112.201616
    16. 16
      Ramos-Gonzalez, N.; Paul, B.; Majumdar, S. IUPHAR themed review: Opioid efficacy, bias, and selectivity. Pharmacol. Res. 2023, 197, 106961,  DOI: 10.1016/j.phrs.2023.106961
    17. 17
      Kelly, E.; Conibear, A.; Henderson, G. Biased Agonism: Lessons from Studies of Opioid Receptor Agonists. Annual Review of Pharmacology and Toxicology 2023, 63, 491515,  DOI: 10.1146/annurev-pharmtox-052120-091058
    18. 18
      Haouzi, P.; McCann, M.; Tubbs, N. Respiratory effects of low and high doses of fentanyl in control and β-arrestin 2-deficient mice. Journal of Neurophysiology 2021, 125 (4), 13961407,  DOI: 10.1152/jn.00711.2020
    19. 19
      Valdez, C. A.; Leif, R. N.; Mayer, B. P. An Efficient, Optimized Synthesis of Fentanyl and Related Analogs. PLoS One 2014, 9 (9), e108250  DOI: 10.1371/journal.pone.0108250
    20. 20
      Goodson, R.; Poklis, J.; Elder, H. J.; Walentiny, D. M.; Dewey, W.; Halquist, M. Acute Biodistribution Comparison of Fentanyl and Morphine. Psychoactives 2024, 3, 437460,  DOI: 10.3390/psychoactives3040027
    21. 21
      Stein, C. Opioid Receptors. Annu. Rev. Med. 2016, 67, 433451,  DOI: 10.1146/annurev-med-062613-093100
    22. 22
      Kelly, E.; Sutcliffe, K.; Cavallo, D.; Ramos-Gonzalez, N.; Alhosan, N.; Henderson, G. The anomalous pharmacology of fentanyl. Br. J. Pharmacol. 2023, 180 (7), 797812,  DOI: 10.1111/bph.15573
    23. 23
      Hill, R. A.-O.; Santhakumar, R.; Dewey, W.; Kelly, E. A.-O.; Henderson, G. A.-O. Fentanyl depression of respiration: Comparison with heroin and morphine. Br. J. Pharmacol. 2020, 177, 254,  DOI: 10.1111/bph.14860
    24. 24
      de Waal, P. W.; Shi, J.; You, E.; Wang, X.; Melcher, K.; Jiang, Y.; Xu, H. E.; Dickson, B. M. Molecular mechanisms of fentanyl mediated β-arrestin biased signaling. PLOS Computational Biology 2020, 16 (4), e1007394  DOI: 10.1371/journal.pcbi.1007394
    25. 25
      Vo, Q. N.; Mahinthichaichan, P.; Shen, J.; Ellis, C. R. How μ-opioid receptor recognizes fentanyl. Nat. Commun. 2021, 12 (1), 984,  DOI: 10.1038/s41467-021-21262-9
    26. 26
      Zádor, F.; Király, K.; Essmat, N.; Al-Khrasani, M. Recent Molecular Insights into Agonist-specific Binding to the Mu-Opioid Receptor. Frontiers in Molecular Biosciences 2022, 9, DOI: 10.3389/fmolb.2022.900547
    27. 27
      Lipiński, P. F. J.; Kosson, P.; Matalińska, J.; Roszkowski, P.; Czarnocki, Z.; Jarończyk, M.; Misicka, A.; Dobrowolski, J. C.; Sadlej, J. Fentanyl Family at the Mu-Opioid Receptor: Uniform Assessment of Binding and Computational Analysis. Molecules 2019, 24, 740,  DOI: 10.3390/molecules24040740
    28. 28
      Williamson, J.; Kermanizadeh, A. A Review of Toxicological Profile of Fentanyl─A 2024 Update. Toxics 2024, 12, 690,  DOI: 10.3390/toxics12100690
  • Supporting Information

    Supporting Information


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    • Experimental procedures, NMR spectra, HPLC traces, Supporting Figure 1, Supplementary tables, Supplementary references (PDF)


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